Skip to main content
Erschienen in: BMC Women's Health 1/2021

Open Access 01.12.2021 | Research

Knowledge of cervical cancer risk factors among Palestinian women: a national cross-sectional study

verfasst von: Mohamedraed Elshami, Mariam Thalji, Hanan Abukmail, Ibrahim Al-Slaibi, Mohammed Alser, Afnan Radaydeh, Alaa Alfuqaha, Salma Khader, Lana Khatib, Nour Fannoun, Bisan Ahmad, Lina Kassab, Hiba Khrishi, Deniz Elhussaini, Nour Abed, Aya Nammari, Tumodir Abdallah, Zaina Alqudwa, Shahd Idais, Ghaid Tanbouz, Ma’alem Hajajreh, Hala Abu Selmiyh, Zakia Abo-Hajouj, Haya Hebi, Manar Zamel, Refqa Najeeb Skaik, Lama Hammoud, Saba Rjoub, Hadeel Ayesh, Toqa Rjoub, Rawan Zakout, Amany Alser, Nasser Abu-El-Noor, Bettina Bottcher

Erschienen in: BMC Women's Health | Ausgabe 1/2021

Abstract

Background

High awareness of cervical cancer (CC) risk factors is important to decrease the morbidity and mortality associated with CC. This study aimed to assess the knowledge level of Palestinian women about CC risk factors and to determine the factors associated with good knowledge.

Methods

This was a national cross-sectional study. Adult women from hospitals, primary healthcare centers, and public spaces of 11 governorates in Palestine were recruited using a stratified convenience sampling. A translated-into-Arabic version of the validated CC awareness measure (CeCAM) was used to assess the knowledge about the 11 CC risk factors. For each correctly identified risk factor, the participant was given one point. The total score was calculated and was categorized into three categories: poor knowledge (0–3), fair knowledge (4–7), and good knowledge (8–11).

Results

A total of 7223 participants completed the Arabic CeCAM (response rate = 89.3%) and 7058 questionnaires were included in the final analysis: 2655 from the Gaza Strip and 4403 from the West Bank and Jerusalem. Participants recruited from the Gaza Strip were younger, getting lower monthly incomes, and with less chronic diseases than participants recruited from the West Bank and Jerusalem. The most frequently identified risk factor was ‘having a weakened immune system’ (n = 5458, 77.3%) followed by ‘infection with a sexually transmitted infection’ (n = 5388, 76.3%). The least identified risk factor was ‘having many children’ (n = 1597, 22.6%). Only 1670 women (23.7%) had good knowledge of CC risk factors. Women living in the Gaza Strip were more likely than women living in the West Bank and Jerusalem to have good knowledge (25.2% vs 22.7%). Completing a secondary or diploma degree, being employed, and having a monthly income of ≥ 1450 NIS (around $450) were all associated with lower likelihood of having good knowledge of CC risk factors. Conversely, knowing someone with cancer was associated with higher likelihood of having good knowledge.

Conclusion

The overall awareness of CC risk factors was low. There is a substantial need to establish educational programs to promote Palestinian women’s awareness of CC.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12905-021-01510-2.
First co-author: Mohamedraed Elshami, Mariam Thalji and Hanan Abukmail
Senior co-author: Nasser Abu-El-Noor and Bettina Bottcher

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
CC
Cervical cancer
HPV
Human papillomavirus
WBJ
West Bank and Jerusalem
PHCs
Primary healthcare centers
MoH
Ministry of health
CeCAM
Cervical cancer awareness measure
CI
Confidence interval
OR
Odds ratio
STI
Sexually transmitted infection

Introduction

Cervical cancer (CC) is the most commonly diagnosed gynecological cancer and one of the leading causes of cancer-related deaths in women worldwide [1, 2]. Globally, over 600,000 new cases and 300,000 deaths were estimated for CC in 2020 [1]. Half of these deaths occurred in countries of low and medium human development indices [1]. In Palestine, a lower-middle-income country, CC is the third most common gynecological cancer with an age-standardized incidence rate of 2.5 per 100,000 females [35]. CC in Palestine has a higher age-standardized mortality rate than other countries in the region [5]. This could be linked to the lack of an efficient screening program and diagnosis at later stages.
One of the main factors contributing to mortality of CC is diagnosis at a late stage [6, 7]. This could be a result of several factors including low awareness of CC symptoms and risk factors as well as limited access to healthcare facilities particularly in low- and middle-income countries [812]. There are many key factors that can increase the risk of CC development. The most significant risk factor of CC is infection with human papillomavirus (HPV) [1316]. HPV type 16 and 18 are high-risk sexually transmitted viruses and are responsible for more than 70% of CC cases [1416]. Other behavioral and sexual factors that also may contribute to CC development include multiple sexual partners, early age of sexual intercourse, multiparty, sexual intercourse with an uncircumcised man, smoking and poor personal hygiene [1722].
In Palestine, where there is no national screening program for CC, raising public awareness is crucial to reduce morbidity and mortality of CC. Good awareness of CC risk factors plays an essential role in early detection and thus improved prognosis [6, 9]. Women who have good knowledge of CC risk factors are better able to recognize themselves as high-risk candidates to get the disease and therefore, they might seek medical advice earlier. Furthermore, women, who are aware to be at high-risk, are better equipped to adopt behaviors to reduce their probability of developing CC [2325].
This national study aimed to: (1) assess Palestinian women’s level of knowledge of CC risk factors, (2) identify the factors associated with a good knowledge level, and (3) compare the knowledge among women from the Gaza Strip vs. the West Bank and Jerusalem (WBJ).

Materials and methods

Study design, setting and population

A national cross-sectional study was conducted between July 2019 and March 2020 in Palestine. The Palestinian Ministry of Health (MoH) hospitals and primary healthcare centers (PHCs) are the main entry sites for healthcare services in Palestine. These are distributed in two main geographical areas: (1) the Gaza Strip and (2) the WBJ. Therefore, governmental general hospitals with a bed capacity of more than 100 and PHCs with level four services (i.e., providing all primary healthcare services) were targeted to recruit participants into the study. Additionally, public spaces in the same governorates of hospitals and PHCs were involved, including markets, downtowns, mosques, churches, parks, malls, and restaurants.
In 2019, the estimated female population in Palestine was 2.45 million with about half of them in the reproductive age between 15 to 49 years [26]. Therefore, adult women aged 18 years or older were the target population and were invited to participate in the study. Potential participants were excluded if they had a citizenship other than Palestinian, were visiting the oncology departments, or were working or studying in a health-related field.

Sampling methods

The data collection process took place in 11 hospitals, 12 PHCs as well as 11 public spaces across Palestine. The hospitals had bed capacities of over 100, while the PHCs offered all services to the general Palestinian public. These sites were located across Palestine in different governorates covering a wide geographical area and were chosen for recruitment of participants by stratified convenience sampling.

Questionnaire and data collection

A translated-into-Arabic version of the validated Cervical Cancer Awareness Measure (CeCAM) was used [9]. The questionnaire consisted of two sections. The first section included socio-demographic questions. The second section comprised 11 questions based on a 5-point Likert scale (1 = strongly disagree, 5 = strongly agree) to assess the knowledge of CC risk factors.
The translation and adaptation of the questionnaire were performed based on World Health Organization recommendations [27]. The questionnaire was translated from English to Arabic by two healthcare professionals fluent in both languages and then back-translated into English by another two healthcare professionals who were also fluent in both languages. All healthcare professionals involved in this process had relevant clinical and research experience in gynecology, public health, and survey design.
A few items were adapted from the original CeCAM and were modified in the Arabic version to make them more culturally accepted in Palestine. ‘Having a sexual partner who is not circumcised’ was modified into ‘having a husband who is not circumcised’. Similarly, ‘having a sexual partner with many previous partners’ was modified into ‘having a husband with many previous partners’. In addition, ‘starting to have sex at a young age (before age 17)’ was modified into ‘being married at a young age (before age 17)’.
The Arabic CeCAM was modified for the purposes of this study. To minimize the possibility of participants answering questions at random, the original questions with yes/no/unknown responses were modified into 5-point Likert scale questions. Meanwhile, the participants’ responses were then converted to correct/incorrect responses similar to what was done in previous studies [2831].
A pilot study was conducted with 130 respondents to test the clarity of the items of the Arabic CeCAM version. These responses were not included in the final analysis. The Cronbach’s Alpha showed that the questionnaire had an acceptable internal consistency (α = 0.72).
Well-trained data collectors with a medical background conducted face-to-face interviews with the recruited participants for completion of the Arabic CeCAM. Data were collected utilizing the secure, user-friendly data collection tool ‘Kobo Toolbox’ that is accessed via smartphones [32].

Statistical analysis

Participant characteristics were summarized utilizing descriptive statistics. Continuous non-normally distributed variables were described using the median and interquartile range. Frequencies and percentages were utilized to summarize categorical variables. To reflect the age-associated risk of CC, age was categorized into three groups: 18–20 years, 21–40 years (at-risk group), and ≥ 41 years [9]. A monthly income of 1450 NIS (about $450) was the minimum wage in Palestine at the time of data collection [33]. Therefore, participants were categorized into two categories: ≥ 1450 NIS and < 1450 NIS. Baseline characteristics of participants from the WBJ vs. the Gaza Strip were compared using Pearson's Chi-square test if they were categorical or Kruskal–Wallis test if they were continuous.
For questions asking about CC risk factors, answering with ‘strongly agree’ and ‘agree’ was considered as a correct answer, whereas answering with ‘strongly disagree’, ‘disagree’, or ‘not sure’ was considered as an incorrect answer. Recognizing each CC risk factor was described using frequencies and percentages with comparisons utilizing Pearson's Chi-square test. This was followed by bivariable and multivariable logistic regression analyses. The model of the multivariable analysis adjusted for factors of socioeconomic status including age, educational level, occupation, monthly income, residency, and marital status. In addition, the model adjusted for other factors including having a chronic disease, knowing someone with cancer, and site of data collection. The model was pre-specified based on previous studies [9, 3436]. Results of all bivariable logistic regression analyses were provided in Additional file 1.
To evaluate the knowledge level of CC risk factors, a scoring system was used. Similar scoring systems had been adopted in previous studies [24, 28]. For each correctly identified risk factor, the participant was given one point. The total score was then calculated (ranging from 0 to 11) and was categorized into three categories: poor knowledge (0–3), fair knowledge (4–7), and good knowledge (8–11). The knowledge level between the participants from the Gaza Strip and the WBJ was compared using Pearson's Chi-square test. Bivariable and multivariable logistic regression analyses were used to test the association between participants’ characteristics and having a good knowledge level.
Complete case analysis was used to handle missing data (i.e., cases with incomplete data were excluded from the analysis; a total of 135 cases). The missing data were completely random and unrelated to the study variables. Data were analyzed using Stata software version 16.0 (StataCorp, College Station, Texas, United States).

Results

Participant characteristics

A total of 7223 participants, out of 8086 approached, completed the questionnaire (response rate = 89.3%). The final analysis included 7058 questionnaires (30 did not meet inclusion criteria and 135 had missing values); 4403 from the WBJ and 2655 from the Gaza Strip.
The median age [interquartile range] for all participants was 32.0 years [24.0, 42.0] (Table 1). Participants recruited from the Gaza Strip were younger, getting lower monthly income, and with less chronic diseases than participants recruited from the WBJ.
Table 1
Characteristics of study participants
Characteristic
Total (n = 7058)
Gaza strip (n = 2655)
WBJ (n = 4403)
Age, median [IQR]
32 [24, 42]
30 [24, 39]
33 [24, 44]
Age group, n (%)
 18–20
756 (10.7)
249 (9.4)
507 (11.5)
 21–40
4331 (61.4)
1809 (68.1)
2522 (57.3)
 41 or older
1971 (27.9)
597 (22.5)
1374 (31.2)
Educational level, n (%)
 Illiterate
127 (1.8)
37 (1.4)
90 (2.0)
 Primary
409 (5.8)
127 (4.8)
282 (6.4)
 Preparatory
1064 (15.1)
378 (14.2)
686 (15.6)
 Secondary
2293 (32.5)
955 (36.0)
1338 (30.4)
 Diploma
766 (10.9)
303 (11.4)
463 (10.5)
 Bachelor
2261 (32.0)
817 (30.8)
1444 (32.8)
 Postgraduate
138 (1.9)
38 (1.4)
100 (2.3)
Occupation, n (%)
 Housewife
4647 (65.8)
2008 (75.6)
2639 (59.9)
 Employed
1476 (20.9)
348 (13.1)
1128 (25.6)
 Retired
69 (1.0)
11 (0.4)
58 (1.3)
 Student
866 (12.3)
288 (10.9)
578 (13.2)
Monthly income ≥ 1450 NIS, n (%)
4666 (66.1)
693 (26.1)
3973 (90.2)
Having a chronic disease, n (%)
1397 (19.8)
417 (15.7)
980 (22.3)
Knowing someone with cancer, n (%)
4083 (57.9)
1483 (55.9)
2600 (59.1)
Marital status, n (%)
 Single
1657 (23.4)
527 (19.8)
1130 (25.6)
 Married
5058 (71.7)
2025 (76.3)
3033 (68.9)
 Divorced
154 (2.2)
45 (1.7)
109 (2.5)
 Widowed
189 (2.7)
58 (2.2)
131 (3.0)
Site of data collection
 Public spaces, n (%)
2695 (38.2)
863 (32.5)
1832 (41.7)
 Hospitals, n (%)
1890 (26.8)
642 (24.2)
1248 (28.3)
 Primary healthcare centers, n (%)
2473 (35.0)
1150 (43.3)
1323 (30.0)
n, number of participants; IQR, interquartile range; WBJ, West Bank and Jerusalem

Good knowledge and its associated factors

Only 1670 women (23.7%) had a good knowledge of CC risk factors (Table 2). Women living in the Gaza Strip were more likely than women living in the WBJ to have good knowledge (25.2% vs 22.7%).
Table 2
Knowledge level among study participants
Level
Total
n (%)
Gaza strip
n (%)
WBJ
n (%)
p value
Poor
1140 (16.1)
374 (14.1)
766 (17.4)
 < 0.001
Fair
4248 (60.2)
1611 (60.7)
2637 (59.9)
 
Good
1670 (23.7)
670 (25.2)
1000 (22.7)
 
n, number of participants; WBJ, West Bank and Jerusalem
On the multivariable analysis, completing secondary or diploma degree, being employed, and having a monthly income of ≥ 1450 NIS were all associated with a decrease in the odds of having good knowledge of CC risk factors (Table 3). On the other hand, knowing someone with cancer was associated with an increase in the odds of having good knowledge.
Table 3
Association between having a good knowledge and sociodemographic factors
Characteristic
Good knowledge
n (%)
COR (95% CI)
p value
AOR (95% CI)a
p value
Age group
18–20
157 (9.4)
Ref
Ref
Ref
Ref
21–40
1016 (60.8)
1.17 (0.97–1.41)
0.11
1.17 (0.92–1.48)
0.20
41 or older
497 (29.8)
1.29 (1.05–1.58)
0.015
129 (0.98–1.69)
0.07
Educational level
Illiterate
40 (2.4)
Ref
Ref
Ref
Ref
Primary
112 (6.7)
0.82 (0.53–1.26)
0.37
0.75 (0.48–1.17)
0.21
Preparatory
260 (15.6)
0.70 (0.47–1.05)
0.08
0.67 (0.44–1.00)
0.051
Secondary
513 (30.7)
0.63 (0.43–0.92)
0.018
0.63 (0.42–0.94)
0.023
Diploma
162 (9.7)
0.58 (0.39–0.88)
0.010
0.63 (0.41–0.97)
0.035
Bachelor
540 (32.3)
0.68 (0.46–1.00)
0.053
0.76 (0.50–1.14)
0.19
Postgraduate
43 (2.6)
0.98 (0.59–1.66)
0.95
1.17 (0.67–2.04)
0.57
Occupation
Housewife
1144 (68.5)
Ref
Ref
Ref
Ref
Employed
316 (18.9)
0.83 (0.72–0.96)
0.012
0.81 (0.68–0.96)
0.016
Retired
13 (0.8)
0.71 (0.39–1.30)
0.27
0.76 (0.40–1.43)
0.39
Student
197 (11.8)
0.90 (0.76–1.07)
0.24
1.05 (0.82–1.35)
0.71
Monthly income
 < 1450 NIS
619 (37.1)
Ref
Ref
Ref
Ref
 ≥ 1450 NIS
1051 (62.9)
0.83 (0.74–0.93)
0.002
0.85 (0.72–0.99)
0.038
Marital status
Single
362 (21.7)
Ref
Ref
Ref
Ref
Married
1226 (73.4)
1.14 (1.00–1.31)
0.047
1.06 (0.89–1.26)
0.55
Divorced
39 (2.3)
1.21 (0.83–1.78)
0.32
1.17 (0.79–1.74)
0.44
Widowed
43 (2.6)
1.05 (0.74–1.51)
0.78
0.85 (0.57–1.26)
0.41
Residency
Gaza strip
670 (40.1)
Ref
Ref
Ref
Ref
WBJ
1000 (59.9)
0.87 (0.78–0.97)
0.016
0.97 (0.83–1.13)
0.66
Having a chronic disease
No
1314 (78.7)
Ref
Ref
Ref
Ref
Yes
356 (21.3)
1.13 (0.99––1.30)
0.07
1.05 (0.90–1.22)
0.58
Knowing someone with cancer
No
611 (36.6)
Ref
Ref
Ref
Ref
Yes
1059 (63.4)
1.34 (1.20–1.51)
 < 0.001
1.34 (1.19–1.50)
 < 0.001
Site of data collection
Public spaces
636 (38.1)
Ref
Ref
Ref
Ref
Hospitals
442 (26.5)
0.99 (0.86–1.14)
0.87
0.94 (0.81–1.10)
0.45
Primary healthcare centers
592 (35.4)
1.02 (0.90–1.16)
0.78
0.96 (0.84–1.10)
0.58
COR, crude odds ratio; AOR, adjusted odds ratio; CI, confidence interval; WBJ, West Bank and Jerusalem
aAdjusted for age-group, educational level, occupation, monthly income, marital status, residency, having a chronic disease, knowing someone with cancer, and site of data collection

Recognition of CC risk factors in the Gaza strip versus the WBJ

Among all participants, the most frequently recognized risk factor was ‘having a weakened immune system’ (n = 5458, 77.3%) followed by ‘infection with a sexually transmitted infection (STI)’ (n = 5388, 76.3%) (Table 4). These risk factors were also the most recognized factors in both the Gaza Strip and WBJ. The least recognized risk factors were ‘having many children’ (n = 1597, 22.6%) and ‘being married at a young age’ (n = 2197, 31.1%).
Table 4
Recognition of cervical cancer risk factors
Risk factor
Total (n = 7058)
n (%)
Gaza strip (n = 2655)
n (%)
WBJ (n = 4403)
n (%)
p value
Having a weakened immune system
5458 (77.3)
2139 (80.6)
3319 (75.4)
 < 0.001
Infection with a sexually transmitted infection
5388 (76.3)
2132 (80.3)
3256 (73.9)
 < 0.001
Infection with human papillomavirus (HPV)
4693 (66.5)
1977 (74.5)
2716 (61.7)
 < 0.001
Having a relative with cervical cancer
4250 (60.2)
1538 (57.9)
2712 (61.6)
0.002
Long term use of the contraceptive pill
4236 (60.0)
1620 (61.0)
2616 (59.4)
0.18
Smoking any cigarettes at all
4167 (59.0)
1600 (60.3)
2567 (58.3)
0.10
Not going for regular smear (Pap) tests
3543 (50.2)
1507 (56.8)
2036 (46.2)
 < 0.001
Having a husband who is not circumcised
2818 (39.9)
1127 (42.4)
1691 (38.4)
 < 0.001
Having a husband with many previous partners
2562 (36.3)
842 (31.7)
1720 (39.1)
 < 0.001
Being married at a young age (before age 17)
2197 (31.1)
779 (29.3)
1418 (32.2)
0.012
Having many children (five or more)
1597 (22.6)
559 (21.1)
1038 (23.6)
0.014
n, number of participants; WBJ, West Bank and Jerusalem
The Chi-square test showed that participants from the Gaza Strip had a higher likelihood than participants from the WBJ to recognize ‘having a weakened immune system’, ‘infection with a sexually transmitted infection (STI)’, ‘infection with HPV’, ‘not going for regular Pap smears’, and ‘having uncircumcised husband’. On the other hand, participants from the WBJ were more likely to recognize ‘having a relative with CC’, ‘having a husband with many previous partners’, ‘being married at a young age’, and ‘having many children’ as risk factors for CC.

Association between recognizing CC risk factors and socioeconomic status

On the multivariable analysis, women with age-related risk of CC (aged 21–40 years) were less likely than younger women (aged 18–20 years) to recognize ‘infection with an STI’ (OR = 0.71, 95% CI 0.56–0.91), ‘infection with HPV’ (OR = 0.76, 95% CI 0.61–0.96), and ‘not going to regular Pap smears’ (OR = 0.75, 95% CI 0.61–0.91) as risk factors for CC (Tables 5, 6).
Table 5
Multivariable logistic regression analyzing the association between the recognition of the most identified risk factors and sociodemographic factors
Characteristic
Having a weakened immune system (n = 5458)
Infection with a sexually transmitted infection (n = 5388)
Infection with HPV (n = 4693)
n (%)
AOR (95% CI)a
p value
n (%)
AOR (95% CI)a
p value
n (%)
AOR (95% CI)a
p value
Age group
18–20
560 (10.3)
Ref
Ref
607 (11.3)
Ref
Ref
574 (12.2)
Ref
Ref
21–40
3355 (61.5)
0.97 (0.77–1.22)
0.81
3329 (61.8)
0.71 (0.56–0.91)
0.006
2878 (61.3)
0.76 (0.61–0.96)
0.018
41 or older
1543 (28.3)
1.16 (0.89–1.51)
0.29
1452 (26.9)
0.74 (0.56–0.97)
0.029
1241 (26.4)
0.81 (0.63–1.04)
0.10
Educational level
Illiterate
78 (1.4)
Ref
Ref
80 (1.5)
Ref
Ref
73 (1.6)
Ref
Ref
Primary
294 (5.4)
1.42 (0.93–2.19)
0.11
265 (4.9)
1.00 (0.66–1.53)
0.99
241 (5.1)
1.08 (0.71–1.63)
0.73
Preparatory
828 (15.2)
2.01 (1.34–3.00)
0.001
801 (14.9)
1.62 (1.09–2.41)
0.018
664 (14.1)
1.22 (0.83–1.80)
0.31
Secondary
1805 (33.1)
2.44 (1.64–3.62)
 < 0.001
1787 (33.2)
1.90 (1.28–2.81)
0.001
1513 (32.2)
1.29 (0.88–1.89)
0.18
Diploma
559 (10.2)
2.08 (1.37–3.17)
0.001
563 (10.4)
1.84 (1.21–2.81)
0.004
511 (10.9)
1.52 (1.01–2.28)
0.043
Bachelor
1777 (32.6)
2.92 (1.94–4.39)
 < 0.001
1778 (33.0)
2.40 (1.60–3.60)
 < 0.001
1589 (33.9)
1.69 (1.14–2.50)
0.009
Postgraduate
117 (2.1)
4.63 (2.48–8.65)
 < 0.001
114 (2.1)
3.64 (1.99–6.66)
 < 0.001
102 (2.2)
2.47 (1.42–4.28)
0.001
Occupation
Housewife
3653 (66.9)
Ref
Ref
3591 (66.6)
Ref
Ref
3043 (64.8)
Ref
Ref
Employed
1122 (20.6)
0.92 (0.78–1.09)
0.35
1083 (20.1)
0.72 (0.61–0.85)
 < 0.001
945 (20.1)
0.80 (0.69–0.93)
0.004
Retired
39 (0.7)
0.38 (0.22–0.65)
 < 0.001
32 (0.6)
0.28 (0.17–0.47)
 < 0.001
34 (0.7)
0.53 (0.32–0.88)
0.014
Student
644 (11.8)
1.09 (0.85–1.40)
0.49
682 (12.7)
0.89 (0.69–1.15)
0.38
671 (14.3)
1.31 (1.03–1.67)
0.027
Monthly income
 < 1450 NIS
1867 (34.2)
Ref
Ref
1851 (34.4)
Ref
Ref
1700 (36.2)
Ref
Ref
 ≥ 1450 NIS
3591 (65.8)
1.22 (1.03–1.44)
0.020
3537 (65.6)
1.19 (1.01–1.40)
0.041
2993 (63.8)
0.97 (0.84–1.13)
0.74
Residency
Gaza Strip
2139 (39.2)
Ref
Ref
2132 (39.6)
Ref
Ref
1977 (42.1)
Ref
Ref
WBJ
3319 (60.8)
0.70 (0.59–0.82)
 < 0.001
3256 (60.4)
0.67 (0.57–0.79)
 < 0.001
2716 (57.9)
0.53 (0.46–0.61)
 < 0.001
Having a chronic disease
No
4358 (79.8)
Ref
Ref
4344 (80.6)
Ref
Ref
3815 (81.3)
Ref
Ref
Yes
1100 (20.2)
1.17 (0.99–1.38)
0.07
1044 (19.4)
1.12 (0.96–1.31)
0.15
878 (18.7)
0.99 (0.86–1.14)
0.88
Knowing someone with cancer
No
2180 (39.9)
Ref
Ref
2206 (40.9)
Ref
Ref
1891 (40.3)
Ref
Ref
Yes
3278 (60.1)
1.41 (1.25–1.58)
 < 0.001
3182 (59.1)
1.15 (1.03–1.29)
0.015
2802 (59.7)
1.23 (1.11–1.37)
 < 0.001
Marital status
Single
1183 (21.7)
Ref
Ref
1229 (22.8)
Ref
Ref
1168 (24.9)
Ref
Ref
Married
4021 (73.7)
1.55 (1.30–1.83)
 < 0.001
3918 (72.7)
1.38 (1.17–1.64)
 < 0.001
3306 (70.4)
1.08 (0.92–1.26)
0.36
Divorced
112 (2.1)
1.18 (0.80–1.74)
0.40
114 (2.1)
1.25 (0.84–1.85)
0.27
102 (2.2)
1.11 (0.77–1.60)
0.59
Widowed
142 (2.6)
1.51 (1.02–2.23)
0.039
127 (2.4)
1.05 (0.73–1.51)
0.79
117 (2.5)
1.06 (0.75–1.50)
0.75
Site of data collection
Public spaces
2015 (36.9)
Ref
Ref
2113 (39.2)
Ref
Ref
1966 (41.9)
Ref
Ref
Hospitals
1423 (26.1)
1.04 (0.89–1.20)
0.64
1362 (25.3)
0.72 (0.62–0.84)
 < 0.001
1216 (25.9)
0.73 (0.64–0.84)
 < 0.001
Primary healthcare centers
2020 (37.0)
1.41 (1.22–1.63)
 < 0.001
1913 (35.5)
0.86 (0.75–0.99)
0.040
1511 (32.2)
0.56 (0.49–0.64)
 < 0.001
Characteristic
Having a relative with cervical cancer (n = 4250)
Long term use of the contraceptive pill (n = 4236)
Smoking any cigarettes at all (n = 4167)
n (%)
AOR (95% CI)a
p value
n (%)
AOR (95% CI)a
p value
n (%)
AOR (95% CI)a
p value
Age group
18–20
418 (9.8)
Ref
Ref
446 (10.5)
Ref
Ref
405 (9.7)
Ref
Ref
21–40
2629 (61.9)
1.05 (0.86–1.29)
0.61
2588 (61.1)
0.96 (0.79–1.17)
0.71
2566 (61.6)
1.02 (0.83–1.24)
0.88
41 or older
1203 (28.3)
1.01 (0.81–1.28)
0.90
1202 (28.4)
1.02 (0.81–1.28)
0.90
1196 (28.7)
0.96 (0.76–1.21)
0.72
Educational level
Illiterate
78 (1.8)
Ref
Ref
77 (1.8)
Ref
Ref
82 (2.0)
Ref
Ref
Primary
264 (6.2)
1.02 (0.67–1.55)
0.93
240 (5.7)
0.89 (0.59–1.34)
0.56
258 (6.2)
0.89 (0.59–1.36)
0.61
Preparatory
685 (16.1)
0.96 (0.65–1.42)
0.85
631 (14.9)
0.91 (0.62–1.34)
0.63
701 (16.8)
0.99 (0.67–1.48)
0.99
Secondary
1387 (32.6)
0.86 (0.58–1.25)
0.42
1346 (31.8)
0.92 (0.63–1.35)
0.67
1371 (32.9)
0.83 (0.56–1.22)
0.34
Diploma
414 (9.7)
0.72 (0.48–1.08)
0.12
428 (10.1)
0.87 (0.58–1.29)
0.49
429 (10.3)
0.79 (0.53–1.19)
0.26
Bachelor
1338 (31.5)
0.88 (0.59–1.30)
0.52
1417 (33.5)
1.13 (0.76–1.66)
0.55
1245 (29.9)
0.78 (0.52–1.16)
0.22
Postgraduate
84 (2.0)
0.91 (0.54–1.55)
0.74
97 (2.3)
1.56 (0.91–2.66)
0.11
81 (1.9)
0.94 (0.55–1.58)
0.81
Occupation
Housewife
2900 (68.2)
Ref
Ref
2776 (65.5)
Ref
Ref
2884 (69.2)
Ref
Ref
Employed
854 (20.1)
0.91 (0.79–1.05)
0.21
907 (21.4)
1.01 (0.88–1.17)
0.85
796 (19.1)
0.93 (0.80–1.07)
0.29
Retired
29 (0.7)
0.63 (0.38–1.06)
0.08
33 (0.8)
0.66 (0.40–1.10)
0.11
33 (0.8)
0.79 (0.47–1.31)
0.35
Student
467 (11.0)
0.88 (0.71–1.09)
0.23
520 (12.3)
1.08 (0.87–1.34)
0.47
454 (10.9)
1.08 (0.88–1.34)
0.46
Monthly income
 < 1450 NIS
1394 (32.8)
Ref
Ref
1413 (33.4)
Ref
Ref
1476 (35.4)
Ref
Ref
 ≥ 1450 NIS
2856 (67.2)
1.13 (0.98–1.30)
0.09
2823 (66.6)
1.13 (0.98–1.30)
0.09
2691 (64.6)
0.93 (0.81–1.08)
0.34
Residency
Gaza Strip
1538 (36.2)
Ref
Ref
1620 (38.2)
Ref
Ref
1600 (38.4)
Ref
Ref
WBJ
2712 (63.8)
1.19 (1.04–1.36)
0.011
2616 (61.8)
0.85 (0.74–0.98)
0.021
2567 (61.6)
1.04 (0.91–1.19)
0.59
Having a chronic disease
No
3408 (80.2)
Ref
Ref
3367 (79.5)
Ref
Ref
3314 (79.5)
Ref
Ref
Yes
842 (19.8)
0.91 (0.79–1.04)
0.18
869 (20.5)
1.14 (0.99–1.30)
0.07
853 (20.5)
0.98 (0.86–1.13)
0.81
Knowing someone with cancer
No
1671 (39.3)
Ref
Ref
1666 (39.3)
Ref
Ref
1684 (40.4)
Ref
Ref
Yes
2579 (60.7)
1.33 (1.20–1.47)
 < 0.001
2570 (60.7)
1.28 (1.16–1.42)
 < 0.001
2483 (59.6)
1.21 (1.10–1.34)
 < 0.001
Marital status
Single
895 (21.1)
Ref
Ref
954 (22.5)
Ref
Ref
829 (19.9)
Ref
Ref
Married
3165 (74.5)
1.22 (1.05–1.42)
0.009
3073 (72.5)
1.26 (1.08–1.46)
0.003
3121 (74.9)
1.41 (1.21–1.63)
 < 0.001
Divorced
80 (1.9)
0.88 (0.62–1.24)
0.45
96 (2.3)
1.33 (0.94–1.90)
0.11
90 (2.2)
1.37 (0.97–1.94)
0.07
Widowed
110 (2.6)
1.06 (0.76–1.49)
0.72
113 (2.7)
1.19 (0.85–1.67)
0.31
127 (3.0)
1.81 (1.28–2.57)
0.001
Site of data collection
Public spaces
1531 (36.0)
Ref
Ref
1666 (39.3)
Ref
Ref
1432 (34.4)
Ref
Ref
Hospitals
1050 (24.7)
0.87 (0.77–0.99)
0.037
1091 (25.8)
0.85 (0.75–0.97)
0.016
1095 (26.3)
1.11 (0.98–1.26)
0.10
Primary healthcare centers
1669 (39.3)
1.52 (1.34–1.72)
 < 0.001
1479 (34.9)
0.92 (0.82–1.04)
0.18
1640 (39.4)
1.58 (1.40–1.79)
 < 0.001
n, number of participants; AOR, adjusted odds ratio; CI, confidence interval; WBJ, West Bank and Jerusalem; HPV, human papillomavirus
aAdjusted for age-group, educational level, occupation, monthly income, marital status, residency, having a chronic disease, knowing someone with cancer, and site of data collection
Table 6
Multivariable logistic regression analyizing the association between the recognition of other risk factors and sociodemographic factors
Characteristic
Not going for regular smear (pap) tests (n = 3543)
Having a husband who is not circumcised (n = 2818)
Having a husband with many previous partners (n = 2562)
n (%)
AOR (95% CI)a
p value
n (%)
AOR (95% CI)a
p value
n (%)
AOR (95% CI)a
p value
Age group
18–20
407 (11.5)
Ref
Ref
346 (12.3)
Ref
Ref
266 (10.4)
Ref
Ref
21–40
2188 (61.8)
0.75 (0.61–0.91)
0.004
1752 (62.2)
0.88 (0.72–1.07)
0.19
1524 (59.5)
1.02 (0.83–1.25)
0.86
41 or older
948 (26.8)
0.72 (0.57–0.90)
0.005
720 (25.6)
0.79 (0.63–0.99)
0.043
772 (30.1)
1.04 (0.82–1.32)
0.73
Educational level
Illiterate
64 (1.8)
Ref
Ref
55 (2.0)
Ref
Ref
64 (2.5)
Ref
Ref
Primary
201 (5.7)
0.87 (0.58–1.31)
0.50
157 (5.6)
0.84 (0.56–1.26)
0.40
192 (7.5)
0.85 (0.56–1.27)
0.42
Preparatory
569 (16.1)
0.98 (0.67–1.44)
0.94
409 (14.5)
0.80 (0.55–1.17)
0.26
433 (16.9)
0.69 (0.47–1.01)
0.06
Secondary
1137 (32.1)
0.82 (0.56–1.19)
0.29
913 (32.4)
0.79 (0.54–1.15)
0.23
801 (31.3)
0.57 (0.39–0.83)
0.003
Diploma
353 (10.0)
0.80 (0.54–1.18)
0.26
270 (9.6)
0.71 (0.47–1.05)
0.09
259 (10.1)
0.56 (0.38–0.83)
0.004
Bachelor
1153 (32.5)
1.00 (0.68–1.47)
0.99
956 (33.9)
0.90 (0.62–1.33)
0.61
759 (29.6)
0.56 (0.38–0.83)
0.003
Postgraduate
66 (1.9)
0.97 (0.58–1.63)
0.92
58 (2.1)
1.01 (0.60–1.68)
0.98
54 (2.1)
0.77 (0.46–1.28)
0.31
Occupation
Unemployed/Housewife
2414 (68.1)
Ref
Ref
1843 (65.4)
Ref
Ref
1734 (67.7)
Ref
Ref
Employed
674 (19.0)
0.87 (0.75–0.99)
0.047
545 (19.3)
0.89 (0.77–1.03)
0.11
486 (19.0)
0.87 (0.75–1.01)
0.06
Retired
22 (0.6)
0.62 (0.36–1.06)
0.08
19 (0.7)
0.77 (0.44–1.34)
0.35
29 (1.1)
1.24 (0.74–2.06)
0.41
Student
433 (12.2)
0.85 (0.69–1.06)
0.15
411 (14.6)
1.32 (1.07–1.63)
0.011
313 (12.2)
1.19 (0.96–1.49)
0.12
Monthly income
 < 1450 NIS
1369 (38.6)
Ref
Ref
1007 (35.7)
Ref
Ref
834 (32.6)
Ref
Ref
 ≥ 1450 NIS
2174 (61.4)
0.80 (0.70–0.92)
0.002
1811 (64.3)
0.92 (0.80–1.05)
0.23
1728 (67.4)
0.84 (0.73–0.97)
0.021
Residency
Gaza Strip
1507 (42.5)
Ref
Ref
1127 (40.0)
Ref
Ref
842 (32.9)
Ref
Ref
WBJ
2036 (57.5)
0.79 (0.69–0.90)
0.001
1691 (60.0)
0.89 (0.78–1.02)
0.09
1720 (67.1)
1.50 (1.30–1.72)
 < 0.001
Having a chronic disease
No
2871 (81.0)
Ref
Ref
2313 (82.1)
Ref
Ref
2011 (78.5)
Ref
Ref
Yes
672 (19.0)
0.91 (0.80–1.05)
0.19
505 (17.9)
0.88 (0.77–1.01)
0.07
551 (21.5)
1.01 (0.88–1.16)
0.87
Knowing someone with cancer
No
1369 (38.6)
Ref
Ref
1150 (40.8)
Ref
Ref
1039 (40.6)
Ref
Ref
Yes
2174 (61.4)
1.40 (1.27–1.55)
 < 0.001
1668 (59.2)
1.12 (1.02–1.24)
0.022
1523 (59.4)
1.09 (0.98–1.20)
0.12
Marital status
Single
811 (22.9)
Ref
Ref
668 (23.7)
Ref
Ref
552 (21.5)
Ref
Ref
Married
2557 (72.2)
0.97 (0.84–1.13)
0.70
2007 (71.2)
1.23 (1.06–1.43)
0.007
1880 (73.4)
1.20 (1.03–1.41)
0.019
Divorced
82 (2.3)
1.24 (0.87–1.75)
0.23
65 (2.3)
1.37 (0.97–1.94)
0.07
58 (2.3)
1.22 (0.86–1.74)
0.27
Widowed
93 (2.6)
1.00 (0.71–1.40)
0.99
78 (2.8)
1.43 (1.02–2.01)
0.039
72 (2.8)
1.00 (0.71–1.42)
0.99
Site of data collection
Public spaces
1266 (35.7)
Ref
Ref
1147 (40.7)
Ref
Ref
976 (38.1)
Ref
Ref
Hospitals
858 (24.2)
0.95 (0.84–1.08)
0.45
722 (25.6)
0.88 (0.78–1.01)
0.06
792 (30.9)
1.18 (1.03–1.34)
0.014
Primary healthcare centers
1419 (40.1)
1.47 (1.31–1.66)
 < 0.001
949 (33.7)
0.85 (0.75–0.96)
0.007
794 (31.0)
0.80 (0.71–0.91)
0.001
Characteristic
Being married at a young age (before age 17)
(n = 2197)
Having many children (five or more)
(n = 1597)
n (%)
AOR (95% CI)a
p value
n (%)
AOR (95% CI)a
p value
Age group
18–20
241 (11.0)
Ref
Ref
142 (8.9)
Ref
Ref
21–40
1318 (60.0)
1.03 (0.83–1.28)
0.77
970 (60.7)
1.21 (0.95–1.55)
0.12
41 or older
638 (29.0)
1.22 (0.96–1.56)
0.10
485 (30.4)
1.47 (1.11–1.94)
0.007
Educational level
Illiterate
46 (2.1)
Ref
Ref
33 (2.1)
Ref
Ref
Primary
115 (5.2)
0.73 (0.48–1.12)
0.15
93 (5.8)
0.91 (0.57–1.45)
0.70
Preparatory
261 (11.9)
0.65 (0.44–0.97)
0.035
210 (13.1)
0.82 (0.53–1.28)
0.39
Secondary
646 (29.4)
0.82 (0.56–1.21)
0.32
470 (29.4)
0.93 (0.61–1.43)
0.76
Diploma
246 (11.2)
0.96 (0.63–1.45)
0.84
176 (11.0)
1.00 (0.64–1.58)
0.99
Bachelor
821 (37.4)
1.19 (0.80–1.77)
0.39
571 (35.8)
1.22 (0.79–1.89)
0.37
Postgraduate
62 (2.8)
1.67 (0.99–2.82)
0.054
44 (2.8)
1.59 (0.90–2.81)
0.11
Occupation
Unemployed/housewife
1345 (61.2)
Ref
Ref
1007 (63.1)
Ref
Ref
Employed
517 (23.5)
0.99 (0.85–1.15)
0.86
389 (24.4)
1.04 (0.88–1.22)
0.66
Retired
32 (1.5)
1.39 (0.84–2.31)
0.20
22 (1.4)
1.12 (0.65–1.94)
0.67
Student
303 (13.8)
1.08 (0.86–1.35)
0.49
179 (11.2)
0.88 (0.68–1.13)
0.31
Monthly income
 < 1450 NIS
717 (32.6)
Ref
Ref
544 (34.1)
Ref
Ref
 ≥ 1450 NIS
1480 (67.4)
0.85 (0.73–0.99)
0.032
1053 (65.9)
0.77 (0.65–0.90)
0.002
Residency
Gaza Strip
779 (35.5)
Ref
Ref
559 (35.0)
Ref
Ref
WBJ
1418 (64.5)
1.19 (1.03–1.37)
0.017
1038 (65.0)
1.30 (1.11–1.52)
0.001
Having a chronic disease
No
1742 (79.3)
Ref
Ref
1268 (79.4)
Ref
Ref
Yes
455 (20.7)
1.11 (0.96–1.28)
0.15
329 (20.6)
1.00 (0.86–1.18)
0.96
Knowing someone with cancer
No
920 (41.9)
Ref
Ref
710 (44.5)
Ref
Ref
Yes
1277 (58.1)
1.03 (0.93–1.15)
0.57
887 (55.5)
0.91 (0.81–1.02)
0.09
Marital status
Single
579 (26.4)
Ref
Ref
396 (24.8)
Ref
Ref
Married
1497 (68.1)
0.92 (0.79–1.08)
0.30
1099 (68.8)
0.85 (0.72–1.01)
0.07
Divorced
58 (2.6)
1.17 (0.82–1.66)
0.39
51 (3.2)
1.36 (0.94–1.96)
0.10
Widowed
63 (2.9)
0.96 (0.67–1.36)
0.81
51 (3.2)
0.99 (0.68–1.45)
0.98
Site of data collection
Public spaces
921 (41.9)
Ref
Ref
631 (39.5)
Ref
Ref
Hospitals
577 (26.3)
0.95 (0.83–1.09)
0.44
442 (27.7)
1.05 (0.91–1.22)
0.49
Primary healthcare centers
699 (31.8)
0.85 (0.75–0.97)
0.013
524 (32.8)
0.93 (0.81–1.07)
0.34
n, number of participants; AOR, adjusted odds ratio; CI, confidence interval; WBJ, West Bank and Jerusalem
aAdjusted for age-group, educational level, occupation, monthly income, marital status, residency, having a chronic disease, knowing someone with cancer, and site of data collection
Participants with a bachelor degree had a higher likelihood than illiterate participants to identify ‘having a weakened immune system’ (OR = 2.92, 95% CI 1.94–4.39), ‘infection with an STI’ (OR = 2.40, 95% CI 1.60–3.60), and ‘infection with HPV’ (OR = 1.69, 95% CI 1.14–2.50) as risk factors for CC. However, participants who had a bachelor degree were less likely to identify ‘having a husband with many previous partners’ (OR = 0.56, 95% CI 0.36–0.83) as a CC risk factor.
Married women were more likely than single women to recognize 7 out of 11 CC risk factors. Moreover, participants with a monthly income of ≥ 1450 NIS had a higher likelihood than participants with a lower monthly income to recognize ‘having a weakened immune system’ (OR = 1.22, 95% CI 1.03–1.44) and ‘infection with an STI’ (OR = 1.19, 95% CI 1.01–1.40) as risk factors for CC. Nonetheless, participants earning ≥ 1450 NIS had a lower likelihood to recognize other CC risk factors including ‘not going to regular Pap smears’, ‘having a husband with many previous partners’, ‘being married at a young age’, and ‘having many children’. In addition, employed women were less likely than unemployed or housewives to recognize ‘infection with an STI’ (OR = 0.72, 95% CI 0.61–0.85), ‘infection with HPV’ (OR = 0.80, 95% CI 0.69–0.93), and ‘not going to regular Pap smears’ (OR = 0.87, 95% CI 0.75–0.99).

Association between recognizing CC risk factors and other participants’ characteristics

Women who knew someone with cancer were more likely than women who did not to identify all CC risk factors except ‘having a husband with many previous partners’, ‘being married at a young age’, and ‘having many children’ for which no differences were found.
Participants visiting hospitals were less likely than participants visiting public spaces to identify ‘infection with an STI’, ‘infection with HPV’, ‘having a relative with CC’, and ‘long term use of the contraceptive pill’. However, hospital visitors were more likely to identify ‘having a husband with many previous partners’ (OR = 1.18, 95% CI 1.03–1.34).
Participants visiting PHCs were less likely than participants visiting public spaces to identify ‘infection with an STI’, ‘infection with HPV’, ‘having a husband who is not circumcised’, ‘having a husband with many previous partners’, and ‘being married at a young age’ as risk factor for CC. However, visitors to PHCs were more likely to identify other CC risk factors including ‘having a weakened immune system’, ‘having a relative with CC’, ‘smoking any cigarettes at all’, and ‘not going for regular Pap smears’.

Discussion

The overall awareness of CC risk factors in this study was low with only 23.7% of the participants having good knowledge. Knowing someone with cancer was associated with an increase in the odds of having good knowledge. Participants from the Gaza Strip demonstrated better knowledge than participants from the WBJ. 'Having a weakened immune system' was the most reported CC risk factor followed by ‘infection with an STI’. The least reported risk factors were ‘having many children’ and ‘being married at a young age’.
High awareness of CC risk factors could play an essential role in the prevention and early detection of CC [37, 38]. This study evaluated the Palestinian women’s level of knowledge of CC risk factors as a baseline for the implementation of future education programs. Such programs can be especially effective where no screening or prevention measures exist (e.g., HPV vaccine) as in Palestine.

Knowledge level of CC risk factors and its associated factors

Good awareness of CC, early detection and treatment remain the cornerstones to improve CC survival outcomes especially in low- and middle-income countries [10, 12, 37, 39]. Only 23.7% of participants in this study had a good level of knowledge of CC risk factors, which is similar to reports from Tunisia, Libya, Qatar, and Oman [34, 35, 40, 41]. The relatively lower incidence and mortality rates in these Arab countries might have driven the health authorities to focus on educating women about other types of cancers that have higher rates (e.g., breast cancer) [42]. Education campaigns can be costly, and their funding is usually limited. However, the long-term investment in raising public awareness of CC risk factors may lead to prevention and early diagnosis of CC reducing the financial burden associated with treatment.
Low and colleagues reported better knowledge of CC risk factors among British women who knew someone with cancer, in concordance with this study and other studies in the United Kingdom [43, 44]. A possible explanation could be that women who know someone with cancer are expected to take care and accompany them during healthcare visits. Therefore, these women may come across more experience and knowledge about health-related topics. Furthermore, women’s concerns about someone’s health might lead them to read more about their diagnosis.
Married women were more likely than single women to recognize most of the CC risk factors in this study, which is in concordance with results of other studies [34, 35, 40]. Married women are expected to be more knowledgeable of topics related to reproductive and sexual health through their visits to healthcare facilities and, thus, also have higher chances to access more accurate information from healthcare professionals. In addition, married women may educate themselves by reading printed health materials distributed in clinics or by using internet resources. On the other hand, single women in conservative communities, such as Palestine, may feel inhibited to read or talk about sexual and reproductive health issues. In fact, the data collectors noticed this when they asked single women about risk factors related to sex, such as having a husband with many previous partners, marrying a husband who is not circumcised, and infection with an STI. Furthermore, although some health-related topics are part of the school curriculum in Palestine, topics around sexual health and CC are not included, potentially increasing the barriers of single women to address these topics. Therefore, education interventions should be tailored to address the emotional barriers of single women to promote their willingness to know more about reproductive health topics including CC.
Low socioeconomic status is one of the CC risk factors, raising the importance of improving the awareness of these factors in this group of women for prevention and early detection of CC [45]. In this study, being employed and having a high monthly income were associated with a decrease in the odds of having good knowledge. The decrease in the likelihood of having good knowledge associated with higher monthly income might only reflect the fact that women in the Gaza Strip know more than those in the WBJ but have less income. Furthermore, employed women were less likely to have a good knowledge, which might reflect that more single women might be employed than married women. In addition, those employed women might have less time to read about health-related topics and less involvement in social interactions where women talk about their own and their relatives’ experiences including those health issues. Another contributing factor might be that unemployment is higher in the Gaza Strip compared with the WBJ and this includes women, so that this might be another reflection of the generally better knowledge amongst women from Gaza compared with those from WBJ [46]. In contrast to this, previous studies showed that employed women and those having a high monthly income were more likely to have a good knowledge level of CC risk factors [35, 40, 47].
Higher education level was shown to be associated with more uptake of CC prevention and early detection strategies [48, 49]. Similar to previous studies on cancer awareness in the Gaza Strip, participants with only a secondary or diploma degree in this study showed lower likelihood to have good knowledge of CC risk factors [2830]; highlighting the lack of such topics within the Palestinian school curricula. There is a need to revise school curricula to include a wider range of health-related topics. Kyle and colleagues demonstrated that a school-based educational intervention improved the recall and recognition of most of the cancer signs and symptoms even after six months from the intervention [50]. Raising such awareness among adolescents could be useful as this might shape their health-related behaviors in the future.

Recognition of CC risk factors in the Gaza strip versus the WBJ

The participants from the Gaza Strip were more likely than participants from the WBJ to recognize 8 out of 11 CC risk factors. A possible contributing factor could be that living in extended families is more notable in the Gaza Strip. This could increase the likelihood of sharing and discussing health-related experiences or relatives’ stories, which may help in shaping women’s knowledge. Another form of interaction that could play a role in building women’s knowledge is the interaction with healthcare professionals. Women in the WBJ encounter several challenges in accessing healthcare facilities due to the Israeli checkpoints between geographical areas. These checkpoints restrict their movement and impede access to healthcare services [51, 52]. In contrast to this, movement within the Gaza Strip is easy and unrestricted for women, so that most women in the Gaza Strip can access healthcare facilities easily and shape their knowledge while communicating with healthcare providers [53, 54]. Moreover, women in the Gaza Strip have a relatively higher fertility rate among women of childbearing age (15–49 years) compared with those in the WBJ (4.5 vs 3.7 births per woman), therefore, they may be exposed to more experience in sexual and reproductive healthcare and associated health education [55].

Recognizing CC risk factors

In this study, women recognized ‘infection with an STI’ more than ‘infection with HPV’. This is similar to findings among Libyan and British women [35, 43], which suggests that women are more aware of the link between CC and STIs than causative micro-organisms (e.g., HPV) as reported in the literature [35, 43, 56]. Future educational campaigns should highlight the role of HPV in CC etiology.
Having five or more children was the least risk factor reported in this study. This is similar to findings of other studies conducted in Libya, United States, India, Oman, and Malaysia [35, 47, 5759]. A possible explanation for this could be that women’s thoughts of CC risk factors are shaped by the culture of the country where they were raised. Palestinian culture encourages having many children as a source of kinship and wealth. Therefore, this might have prevented Palestinian women to consider negative associations with multiparty, such as it being a risk factor of CC. Moreover, more than 70.0% of study participants were married and, considering the high fertility rate in Palestine, which might also have had contributed to shaping such beliefs about multiparity [55]. Education interventions should focus on ‘having many children’ as a risk factor of CC since this is very relevant to the Palestinian society.

Future directions

The findings of this study reflect the need to promote educational programs to improve women’s knowledge of CC in Palestine. Enriching school curricula with health-related topics and targeting women in the reproductive age should be prioritized. This could drive these women to adjust their behavioral risk factors, hence, decrease their chance of developing CC. In addition, raising young women’s awareness of CC may make them more confident to talk about any possible CC symptom and less embarrassed to seek medical advice or discuss their concerns with healthcare professionals.

Strengths and limitations

The main strengths of this study included the large sample size and the high response rate. In addition, the stratified approach that may provide a representative view of the target population’s knowledge on different levels of the Palestinian community.
Limitations of this study included the convenience sampling that may limit the generalizability of the findings. However, this may be alleviated by the recruiting a large number of participants while having a high response rate and covering different geographical areas in Palestine. Another limitation could be the exclusion of visitors or patients in the oncology departments and participants with medical backgrounds, possibly decreasing the number of participants with a presumably good level of knowledge. On the other hand, their exclusion was meant to increase the relevancy of this study as a measure of knowledge among the public.

Conclusion

The overall knowledge of women about CC risk factors was low with only 23.7% of participants demonstrating good knowledge of CC risk factors. Knowing someone with cancer was the only factor associated with an increase in the odds of having good knowledge. Conversely, completing only secondary or diploma degree, being employed, and having a monthly income of ≥ 1450 NIS were all associated with a decrease in the odds of having good knowledge. Introducing topics around sexual and reproductive health, including CC risk factors and symptoms, in school curricula as well as public discourse could be one way of bridging this gap.

Acknowledgements

The authors thank all the participants for their time to be part of our study.

Declarations

The study was approved by the Helsinki Committee in the Gaza Strip, a committee within the MoH that gives study approvals. In addition, ethical approval was also obtained from the Islamic University of Gaza Research Ethics Committee. An approval to conduct the study at the governmental hospitals and PHCs was also obtained from the Human Resources Development department at the Palestinian MoH. All the methods of the study were carried out in accordance with relevant local guidelines and regulations. Informed consents were obtained from all participants after giving a detailed explanation of the study and its purpose. All participants were informed that their participation was completely voluntary and that their decision would not affect the medical care they receive. Data confidentiality was maintained throughout the study.
Not applicable.

Competing interests

All authors declare no competing interests.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49.CrossRef Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49.CrossRef
2.
Zurück zum Zitat World Health Organization. Improving data for decision-making: a toolkit for cervical cancer prevention and control programmes. https://bit.ly/2RhPwAr. Accessed 7 Apr 2021. World Health Organization. Improving data for decision-making: a toolkit for cervical cancer prevention and control programmes. https://​bit.​ly/​2RhPwAr. Accessed 7 Apr 2021.
3.
Zurück zum Zitat International Agency for Research on Cancer. GLOBOCAN 2020: estimated cancer incidence, mortality and prevalence Gaza strip and west bank in 2020. https://bit.ly/2QUyO9Y. Accessed 7 Apr 2021. International Agency for Research on Cancer. GLOBOCAN 2020: estimated cancer incidence, mortality and prevalence Gaza strip and west bank in 2020. https://​bit.​ly/​2QUyO9Y. Accessed 7 Apr 2021.
5.
Zurück zum Zitat Arbyn M, Weiderpass E, Bruni L, De Sanjosé S, Saraiya M, Ferlay J, et al. Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis. Lancet Glob Health. 2020;8(2):e191–203.CrossRef Arbyn M, Weiderpass E, Bruni L, De Sanjosé S, Saraiya M, Ferlay J, et al. Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis. Lancet Glob Health. 2020;8(2):e191–203.CrossRef
6.
Zurück zum Zitat Ott JJ, Ullrich A, Miller AB. The importance of early symptom recognition in the context of early detection and cancer survival. Eur J Cancer. 2009;45(16):2743–8.CrossRef Ott JJ, Ullrich A, Miller AB. The importance of early symptom recognition in the context of early detection and cancer survival. Eur J Cancer. 2009;45(16):2743–8.CrossRef
7.
Zurück zum Zitat McPhail S, Johnson S, Greenberg D, Peake M, Rous B. Stage at diagnosis and early mortality from cancer in England. Br J Cancer. 2015;112(S1):S108–15.CrossRef McPhail S, Johnson S, Greenberg D, Peake M, Rous B. Stage at diagnosis and early mortality from cancer in England. Br J Cancer. 2015;112(S1):S108–15.CrossRef
8.
Zurück zum Zitat Hull R, Mbele M, Makhafola T, Hicks C, Wang SM, Reis R, et al. Cervical cancer in low and middle-income countries (review). Oncol Lett. 2020;20(3):2058–74.CrossRef Hull R, Mbele M, Makhafola T, Hicks C, Wang SM, Reis R, et al. Cervical cancer in low and middle-income countries (review). Oncol Lett. 2020;20(3):2058–74.CrossRef
9.
Zurück zum Zitat Simon AE, Wardle J, Grimmett C, Power E, Corker E, Menon U, et al. Ovarian and cervical cancer awareness: development of two validated measurement tools. J Family Plan Reprod Health Care. 2012;38(3):167–74.CrossRef Simon AE, Wardle J, Grimmett C, Power E, Corker E, Menon U, et al. Ovarian and cervical cancer awareness: development of two validated measurement tools. J Family Plan Reprod Health Care. 2012;38(3):167–74.CrossRef
10.
11.
Zurück zum Zitat World Heatlh Organization. WHO director-general calls for all countries to take action to help end the suffering caused by cervical cancer. https://bit.ly/3uvj2AV. Accessed 7 Apr 2021. World Heatlh Organization. WHO director-general calls for all countries to take action to help end the suffering caused by cervical cancer. https://​bit.​ly/​3uvj2AV. Accessed 7 Apr 2021.
13.
Zurück zum Zitat Wardak S. Human papillomavirus (HPV) and cervical cancer. Med Dosw Mikrobiol. 2016;68(1):73–84.PubMed Wardak S. Human papillomavirus (HPV) and cervical cancer. Med Dosw Mikrobiol. 2016;68(1):73–84.PubMed
14.
Zurück zum Zitat Okunade KS. Human papillomavirus and cervical cancer. J Obstet Gynaecol. 2020;40(5):602–8.CrossRef Okunade KS. Human papillomavirus and cervical cancer. J Obstet Gynaecol. 2020;40(5):602–8.CrossRef
15.
Zurück zum Zitat de Martel C, Plummer M, Vignat J, Franceschi S. Worldwide burden of cancer attributable to HPV by site, country and HPV type. Int J Cancer. 2017;141(4):664–70.CrossRef de Martel C, Plummer M, Vignat J, Franceschi S. Worldwide burden of cancer attributable to HPV by site, country and HPV type. Int J Cancer. 2017;141(4):664–70.CrossRef
16.
Zurück zum Zitat Arbyn M, Xu L, Simoens C, Martin-Hirsch PP. Prophylactic vaccination against human papillomaviruses to prevent cervical cancer and its precursors. Cochrane Database Syst Rev. 2018;5:CD009069.PubMed Arbyn M, Xu L, Simoens C, Martin-Hirsch PP. Prophylactic vaccination against human papillomaviruses to prevent cervical cancer and its precursors. Cochrane Database Syst Rev. 2018;5:CD009069.PubMed
17.
Zurück zum Zitat Louie KS, De Sanjose S, Diaz M, Castellsagué X, Herrero R, Meijer CJ, et al. Early age at first sexual intercourse and early pregnancy are risk factors for cervical cancer in developing countries. Br J Cancer. 2009;100(7):1191–7.CrossRef Louie KS, De Sanjose S, Diaz M, Castellsagué X, Herrero R, Meijer CJ, et al. Early age at first sexual intercourse and early pregnancy are risk factors for cervical cancer in developing countries. Br J Cancer. 2009;100(7):1191–7.CrossRef
18.
Zurück zum Zitat Morris BJ, Hankins CA, Banerjee J, Lumbers ER, Mindel A, Klausner JD, et al. Does male circumcision reduce women’s risk of sexually transmitted infections, cervical cancer, and associated conditions? Front Public Health. 2019;7:4.CrossRef Morris BJ, Hankins CA, Banerjee J, Lumbers ER, Mindel A, Klausner JD, et al. Does male circumcision reduce women’s risk of sexually transmitted infections, cervical cancer, and associated conditions? Front Public Health. 2019;7:4.CrossRef
19.
Zurück zum Zitat Sugawara Y, Tsuji I, Mizoue T, Inoue M, Sawada N, Matsuo K, et al. Cigarette smoking and cervical cancer risk: an evaluation based on a systematic review and meta-analysis among Japanese women. Jpn J Clin Oncol. 2019;49(1):77–86.CrossRef Sugawara Y, Tsuji I, Mizoue T, Inoue M, Sawada N, Matsuo K, et al. Cigarette smoking and cervical cancer risk: an evaluation based on a systematic review and meta-analysis among Japanese women. Jpn J Clin Oncol. 2019;49(1):77–86.CrossRef
20.
Zurück zum Zitat Kashyap N, Krishnan N, Kaur S, Ghai S. Risk factors of cervical cancer: a case-control study. Asian Pac J Oncol Nurs. 2019;6(3):308–14.CrossRef Kashyap N, Krishnan N, Kaur S, Ghai S. Risk factors of cervical cancer: a case-control study. Asian Pac J Oncol Nurs. 2019;6(3):308–14.CrossRef
21.
Zurück zum Zitat Harper DM, Demars LR. Primary strategies for HPV infection and cervical cancer prevention. Clin Obstet Gynecol. 2014;57(2):256–78.CrossRef Harper DM, Demars LR. Primary strategies for HPV infection and cervical cancer prevention. Clin Obstet Gynecol. 2014;57(2):256–78.CrossRef
22.
Zurück zum Zitat Kumar RV, Bhasker S. Potential opportunities to reduce cervical cancer by addressing risk factors other than HPV. J Gynecol Oncol. 2013;24(4):295.CrossRef Kumar RV, Bhasker S. Potential opportunities to reduce cervical cancer by addressing risk factors other than HPV. J Gynecol Oncol. 2013;24(4):295.CrossRef
23.
Zurück zum Zitat Whitaker KL, Smith CF, Winstanley K, Wardle J. What prompts help-seeking for cancer ‘alarm’ symptoms? A primary care based survey. Br J Cancer. 2016;114(3):334–9.CrossRef Whitaker KL, Smith CF, Winstanley K, Wardle J. What prompts help-seeking for cancer ‘alarm’ symptoms? A primary care based survey. Br J Cancer. 2016;114(3):334–9.CrossRef
24.
Zurück zum Zitat Simon AE, Waller J, Robb K, Wardle J. Patient Delay in presentation of possible cancer symptoms: the contribution of knowledge and attitudes in a population sample from the United Kingdom. Cancer Epidemiol Biomark Prev. 2010;19(9):2272–7.CrossRef Simon AE, Waller J, Robb K, Wardle J. Patient Delay in presentation of possible cancer symptoms: the contribution of knowledge and attitudes in a population sample from the United Kingdom. Cancer Epidemiol Biomark Prev. 2010;19(9):2272–7.CrossRef
25.
Zurück zum Zitat Esteva M, Leiva A, Ramos M, Pita-Fernández S, González-Luján L, Casamitjana M, et al. Factors related with symptom duration until diagnosis and treatment of symptomatic colorectal cancer. BMC Cancer. 2013;13(1):87.CrossRef Esteva M, Leiva A, Ramos M, Pita-Fernández S, González-Luján L, Casamitjana M, et al. Factors related with symptom duration until diagnosis and treatment of symptomatic colorectal cancer. BMC Cancer. 2013;13(1):87.CrossRef
28.
Zurück zum Zitat Elshami M, Elshami A, Alshorbassi N, Alkhatib M, Ismail I, Abu-Nemer K, et al. Knowledge level of cancer symptoms and risk factors in the Gaza Strip: a cross-sectional study. BMC Public Health. 2020;20(1):1–11.CrossRef Elshami M, Elshami A, Alshorbassi N, Alkhatib M, Ismail I, Abu-Nemer K, et al. Knowledge level of cancer symptoms and risk factors in the Gaza Strip: a cross-sectional study. BMC Public Health. 2020;20(1):1–11.CrossRef
29.
Zurück zum Zitat Elshami M, Abu Kmeil H, Abu-Jazar M, Mahfouz I, Ashour D, Aljamal A, et al. Breast cancer awareness and barriers to early presentation in the gaza-strip: a cross-sectional study. J Global Oncol. 2018;4:1–13. Elshami M, Abu Kmeil H, Abu-Jazar M, Mahfouz I, Ashour D, Aljamal A, et al. Breast cancer awareness and barriers to early presentation in the gaza-strip: a cross-sectional study. J Global Oncol. 2018;4:1–13.
30.
Zurück zum Zitat Elshami M, Alfaqawi M, Abdalghafoor T, Nemer AA, Ghuneim M, Lubbad H, et al. Public awareness and barriers to seeking medical advice for colorectal cancer in the gaza strip: a cross-sectional study. J Global Oncol. 2019(5):JGO.18.00252. Elshami M, Alfaqawi M, Abdalghafoor T, Nemer AA, Ghuneim M, Lubbad H, et al. Public awareness and barriers to seeking medical advice for colorectal cancer in the gaza strip: a cross-sectional study. J Global Oncol. 2019(5):JGO.18.00252.
31.
Zurück zum Zitat Elshami M, Bottcher B, Alkhatib M, et al. Perceived barriers to seeking cancer care in the Gaza Strip: a cross-sectional study. BMC Health Serv Res. 2021;21:28.CrossRef Elshami M, Bottcher B, Alkhatib M, et al. Perceived barriers to seeking cancer care in the Gaza Strip: a cross-sectional study. BMC Health Serv Res. 2021;21:28.CrossRef
33.
Zurück zum Zitat Palestinian Central Bureau of Statistics. On the occasion of the International Workers’ Day, Dr. Awad, presents the current status of the Palestinian labour force. https://bit.ly/3diTdgy. Accessed 7 Apr 2021. Palestinian Central Bureau of Statistics. On the occasion of the International Workers’ Day, Dr. Awad, presents the current status of the Palestinian labour force. https://​bit.​ly/​3diTdgy. Accessed 7 Apr 2021.
34.
Zurück zum Zitat El Mhamdi S, Bouanene I, Mhirsi A, Bouden W, Soussi SM. Cervical cancer screening: women’s knowledge, attitudes, and practices in the region of Monastir (Tunisia). Rev Epidemiol Sante Publique. 2012;60(6):431–6.CrossRef El Mhamdi S, Bouanene I, Mhirsi A, Bouden W, Soussi SM. Cervical cancer screening: women’s knowledge, attitudes, and practices in the region of Monastir (Tunisia). Rev Epidemiol Sante Publique. 2012;60(6):431–6.CrossRef
35.
Zurück zum Zitat Hweissa NA, Su TT. Awareness of cervical cancer and socio-demographic variations among women in Libya: an exploratory study in Az-Zawiya city. Eur J Cancer Care. 2018;27(1):e12750.CrossRef Hweissa NA, Su TT. Awareness of cervical cancer and socio-demographic variations among women in Libya: an exploratory study in Az-Zawiya city. Eur J Cancer Care. 2018;27(1):e12750.CrossRef
36.
Zurück zum Zitat Narayana G, Suchitra MJ, Sunanda G, Ramaiah JD, Kumar BP, Veerabhadrappa KV. Knowledge, attitude, and practice toward cervical cancer among women attending obstetrics and gynecology department: a cross-sectional, hospital-based survey in South India. Indian J Cancer. 2017;54(2):481–7.CrossRef Narayana G, Suchitra MJ, Sunanda G, Ramaiah JD, Kumar BP, Veerabhadrappa KV. Knowledge, attitude, and practice toward cervical cancer among women attending obstetrics and gynecology department: a cross-sectional, hospital-based survey in South India. Indian J Cancer. 2017;54(2):481–7.CrossRef
38.
Zurück zum Zitat Asl RT, Osch LV, Vries ND, Zendehdel K, Shams M, Zarei F, et al. The role of knowledge, risk perceptions and cues to action among Iranian women concerning cervical cancer and screening: a qualitative exploration. BMC Public Health. 2020;20:1–2.CrossRef Asl RT, Osch LV, Vries ND, Zendehdel K, Shams M, Zarei F, et al. The role of knowledge, risk perceptions and cues to action among Iranian women concerning cervical cancer and screening: a qualitative exploration. BMC Public Health. 2020;20:1–2.CrossRef
39.
Zurück zum Zitat Randall TC, Ghebre R. Challenges in prevention and care delivery for women with cervical cancer in Sub-Saharan Africa. Front Oncol. 2016;6:160.CrossRef Randall TC, Ghebre R. Challenges in prevention and care delivery for women with cervical cancer in Sub-Saharan Africa. Front Oncol. 2016;6:160.CrossRef
40.
Zurück zum Zitat Al-Meer FM, Aseel MT, Al-Khalaf J, Al-Kuwari MG, Ismail MFS. 855 Knowledge, attitude and practices regarding cervical cancer and screening among women visiting primary health care in Qatar. East Mediterr Health J. 2011;17(11):855–61.PubMed Al-Meer FM, Aseel MT, Al-Khalaf J, Al-Kuwari MG, Ismail MFS. 855 Knowledge, attitude and practices regarding cervical cancer and screening among women visiting primary health care in Qatar. East Mediterr Health J. 2011;17(11):855–61.PubMed
41.
Zurück zum Zitat Nasar A, Waad A, Atheer A, Nasra A. Awareness of cervical cancer and pap smear testing among Omani women. Asian Pac J Cancer Prev. 2016;17(11):4825–30.PubMedPubMedCentral Nasar A, Waad A, Atheer A, Nasra A. Awareness of cervical cancer and pap smear testing among Omani women. Asian Pac J Cancer Prev. 2016;17(11):4825–30.PubMedPubMedCentral
43.
Zurück zum Zitat Low EL, Simon AE, Lyons J, Romney-Alexander D, Waller J. What do British women know about cervical cancer symptoms and risk factors? Eur J Cancer. 2012;48(16):3001–8.CrossRef Low EL, Simon AE, Lyons J, Romney-Alexander D, Waller J. What do British women know about cervical cancer symptoms and risk factors? Eur J Cancer. 2012;48(16):3001–8.CrossRef
44.
Zurück zum Zitat Adlard J, Hume M. Cancer knowledge of the general public in the United Kingdom: survey in a primary care setting and review of the literature. Clin Oncol (R Coll Radiol (Great Br)). 2003;15 4:174–80. Adlard J, Hume M. Cancer knowledge of the general public in the United Kingdom: survey in a primary care setting and review of the literature. Clin Oncol (R Coll Radiol (Great Br)). 2003;15 4:174–80.
46.
47.
Zurück zum Zitat Ralston JD, Taylor VM, Yasui Y, Kuniyuki A, Jackson JC, Tu S-P. Knowledge of cervical cancer risk factors among Chinese immigrants in Seattle. J Commun Health. 2003;28(1):41–57.CrossRef Ralston JD, Taylor VM, Yasui Y, Kuniyuki A, Jackson JC, Tu S-P. Knowledge of cervical cancer risk factors among Chinese immigrants in Seattle. J Commun Health. 2003;28(1):41–57.CrossRef
48.
Zurück zum Zitat Murfin J, Irvine F, Meechan-Rogers R, Swift A. Education, income and occupation and their influence on the uptake of cervical cancer prevention strategies: a systematic review. J Clin Nurs. 2020;29(3–4):393–415.CrossRef Murfin J, Irvine F, Meechan-Rogers R, Swift A. Education, income and occupation and their influence on the uptake of cervical cancer prevention strategies: a systematic review. J Clin Nurs. 2020;29(3–4):393–415.CrossRef
49.
Zurück zum Zitat Nene B, Jayant K, Arrossi S, Shastri S, Budukh A, Hingmire S, et al. Determinants of womens participation in cervical cancer screening trial, Maharashtra. India Bull World Health Organ. 2007;85(4):264–72.CrossRef Nene B, Jayant K, Arrossi S, Shastri S, Budukh A, Hingmire S, et al. Determinants of womens participation in cervical cancer screening trial, Maharashtra. India Bull World Health Organ. 2007;85(4):264–72.CrossRef
50.
Zurück zum Zitat Kyle RG, Forbat L, Rauchhaus P, Hubbard G. Increased cancer awareness among British adolescents after a school-based educational intervention: a controlled before-and-after study with 6-month follow-up. BMC Public Health. 2013;13(1):190.CrossRef Kyle RG, Forbat L, Rauchhaus P, Hubbard G. Increased cancer awareness among British adolescents after a school-based educational intervention: a controlled before-and-after study with 6-month follow-up. BMC Public Health. 2013;13(1):190.CrossRef
51.
Zurück zum Zitat Devi S. Health in the West Bank. The Lancet. 2007;370(9596):1405–6.CrossRef Devi S. Health in the West Bank. The Lancet. 2007;370(9596):1405–6.CrossRef
53.
Zurück zum Zitat Hamdan M, Defever M, Abdeen Z. Organizing health care within political turmoil: the Palestinian case. Int J Health Plan Manag. 2003;18(1):63–87.CrossRef Hamdan M, Defever M, Abdeen Z. Organizing health care within political turmoil: the Palestinian case. Int J Health Plan Manag. 2003;18(1):63–87.CrossRef
54.
Zurück zum Zitat Palestinian Central Bureau of Statistics | Dr. Ola Awad, presents a brief on the status of Palestinian people at the end of 2019. https://bit.ly/31P2cAE. Accessed 7 Apr 2021. Palestinian Central Bureau of Statistics | Dr. Ola Awad, presents a brief on the status of Palestinian people at the end of 2019. https://​bit.​ly/​31P2cAE. Accessed 7 Apr 2021.
56.
Zurück zum Zitat Moore AR, Driver N. Knowledge of cervical cancer risk factors among educated women in Lomé, Togo: half-truths and misconceptions. SAGE Open. 2014;4(4):215824401455704.CrossRef Moore AR, Driver N. Knowledge of cervical cancer risk factors among educated women in Lomé, Togo: half-truths and misconceptions. SAGE Open. 2014;4(4):215824401455704.CrossRef
57.
Zurück zum Zitat Singh S, Narayan N, Sinha R, Sinha P, Sinha VP, Upadhye JJ. Awareness about cervical cancer risk factors and symptoms. Int J Reprod Contracept Obstet Gynecol. 2018;7(12):4987.CrossRef Singh S, Narayan N, Sinha R, Sinha P, Sinha VP, Upadhye JJ. Awareness about cervical cancer risk factors and symptoms. Int J Reprod Contracept Obstet Gynecol. 2018;7(12):4987.CrossRef
58.
Zurück zum Zitat Alwahaibi N, Alsalami W, Alramadhani N, Alzaabi A. Factors influencing knowledge and practice regarding cervical cancer and pap smear testing among Omani women. Asian Pac J Cancer Prev. 2018;19(12):3367–74.CrossRef Alwahaibi N, Alsalami W, Alramadhani N, Alzaabi A. Factors influencing knowledge and practice regarding cervical cancer and pap smear testing among Omani women. Asian Pac J Cancer Prev. 2018;19(12):3367–74.CrossRef
59.
Zurück zum Zitat Seng LM, Rosman AN, Khan A, Haris NM, Mustapha NAS, Husaini NSM, et al. Awareness of cervical cancer among women in Malaysia. Int J Health Sci (Qassim). 2018;12(4):42–8. Seng LM, Rosman AN, Khan A, Haris NM, Mustapha NAS, Husaini NSM, et al. Awareness of cervical cancer among women in Malaysia. Int J Health Sci (Qassim). 2018;12(4):42–8.
Metadaten
Titel
Knowledge of cervical cancer risk factors among Palestinian women: a national cross-sectional study
verfasst von
Mohamedraed Elshami
Mariam Thalji
Hanan Abukmail
Ibrahim Al-Slaibi
Mohammed Alser
Afnan Radaydeh
Alaa Alfuqaha
Salma Khader
Lana Khatib
Nour Fannoun
Bisan Ahmad
Lina Kassab
Hiba Khrishi
Deniz Elhussaini
Nour Abed
Aya Nammari
Tumodir Abdallah
Zaina Alqudwa
Shahd Idais
Ghaid Tanbouz
Ma’alem Hajajreh
Hala Abu Selmiyh
Zakia Abo-Hajouj
Haya Hebi
Manar Zamel
Refqa Najeeb Skaik
Lama Hammoud
Saba Rjoub
Hadeel Ayesh
Toqa Rjoub
Rawan Zakout
Amany Alser
Nasser Abu-El-Noor
Bettina Bottcher
Publikationsdatum
01.12.2021
Verlag
BioMed Central
Erschienen in
BMC Women's Health / Ausgabe 1/2021
Elektronische ISSN: 1472-6874
DOI
https://doi.org/10.1186/s12905-021-01510-2

Weitere Artikel der Ausgabe 1/2021

BMC Women's Health 1/2021 Zur Ausgabe

Alter der Mutter beeinflusst Risiko für kongenitale Anomalie

28.05.2024 Kinder- und Jugendgynäkologie Nachrichten

Welchen Einfluss das Alter ihrer Mutter auf das Risiko hat, dass Kinder mit nicht chromosomal bedingter Malformation zur Welt kommen, hat eine ungarische Studie untersucht. Sie zeigt: Nicht nur fortgeschrittenes Alter ist riskant.

Fehlerkultur in der Medizin – Offenheit zählt!

28.05.2024 Fehlerkultur Podcast

Darüber reden und aus Fehlern lernen, sollte das Motto in der Medizin lauten. Und zwar nicht nur im Sinne der Patientensicherheit. Eine negative Fehlerkultur kann auch die Behandelnden ernsthaft krank machen, warnt Prof. Dr. Reinhard Strametz. Ein Plädoyer und ein Leitfaden für den offenen Umgang mit kritischen Ereignissen in Medizin und Pflege.

Mammakarzinom: Brustdichte beeinflusst rezidivfreies Überleben

26.05.2024 Mammakarzinom Nachrichten

Frauen, die zum Zeitpunkt der Brustkrebsdiagnose eine hohe mammografische Brustdichte aufweisen, haben ein erhöhtes Risiko für ein baldiges Rezidiv, legen neue Daten nahe.

Mehr Lebenszeit mit Abemaciclib bei fortgeschrittenem Brustkrebs?

24.05.2024 Mammakarzinom Nachrichten

In der MONARCHE-3-Studie lebten Frauen mit fortgeschrittenem Hormonrezeptor-positivem, HER2-negativem Brustkrebs länger, wenn sie zusätzlich zu einem nicht steroidalen Aromatasehemmer mit Abemaciclib behandelt wurden; allerdings verfehlte der numerische Zugewinn die statistische Signifikanz.

Update Gynäkologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert – ganz bequem per eMail.