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Erschienen in: BMC Public Health 1/2019

Open Access 01.12.2019 | Research article

Sexual behaviors and seroprevalence of HIV, HBV, and HCV among hill tribe youths of Northern Thailand

verfasst von: Tawatchai Apidechkul

Erschienen in: BMC Public Health | Ausgabe 1/2019

Abstract

Background

Sexual behaviors reflect the degree of exposure to human immunodeficiency virus (HIV), hepatitis B virus (HBV), and hepatitis C virus (HCV), especially in people in sexually active stages, such as youths. Hill tribe people have their own cultures, beliefs and lifestyles related to their behaviors, including sexual behaviors, which may lead to HIV, HBV, and HCV infections, especially among youths. The study aimed to examine sexual behaviors and assess the seroprevalence of HIV, HBV, and HCV among hill tribe youths.

Methods

A cross-sectional study was conducted. The participants were recruited from 60 randomly selected hill tribe villages in Chiang Rai Province, Thailand. A validated questionnaire and 5 mL blood specimens were used to collect data. Data were collected by a self-reporting method. Rapid immunochromatographic tests were used to detect hepatitis B surface antibody (anti-HBs), hepatitis B surface antigen (HBsAg), hepatitis C antibody (anti-HCV), and human immunodeficiency virus antibody-I and- II (anti-HIV-1 and -2). Chi-square and Fisher’s exact test were used to detect the associations between variables.

Results

A total of 1325 participants were recruited for the analysis. The majority were females (60.5%) and aged 15–17 years (58.9%). A total of 14.5% smoked, 22.4% drank alcohol, 14.2% were tattooed, and 61.4% had their ears pierced. Among the 30.3% who had sexual experience, 42.0% experienced one-night stands, 26.9% had sexual contact with a prostitute within 1 year prior to the study, 18.9% used alcohol prior to having sexual intercourse, and 15.7% had been tested for HIV/AIDS previously. Among males, 11.5% were males who had sex with males (MSM), and 4.6% were bisexual. Among females, 83.0% were females who had sex with males, and 5.0% were females who had sex with females. Different sexes and tribes were found to have significantly different risk behaviors and sexual behaviors, such as overall males having a greater proportion of sexual experience than females, and Lahu, Akha and Hmong had a higher proportion of sexual experience, having sexual experience with one-night stands, and having sexual experience with a prostitute 1 year prior to the study than others. Among the 836 obtained blood samples, none were positive for anti-HIV-I and -II, 6.4% were positive for anti-HBs, 1.9% were positive for HBsAg, and 0.2% were positive for anti-HCV.

Conclusion

Hill tribe youths in Thailand are at risk of STIs such as HBV and HCV infections according to their risk behaviors and sexual behaviors, which differ between sexes and tribes. Effective behavioral interventions should be promoted among hill tribe youths to minimize the risk for these diseases in the future.
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Abkürzungen
AIDS
Acquired immunodeficiency syndrome
Anti-HBs
Antibody to hepatitis B surface antigen
Anti-HCV
Antibody to hepatitis C virus
Anti-HIVI&II
Antibody to human immunodeficiency I&II
HBsAg
Hepatitis B surface antigen
HBV
Hepatitis B virus
HCV
Hepatitis C virus
HIV
Human immunodeficiency virus
ID
Identification card
IOC
Item-objective congruence technique
MSM
Men who have sex with men
NPV
Negative predictive value
STIs
Sexually transmitted infections
WHO
World Health Organization

Background

Individual sexual behaviors reflect the degree of risk for sexually transmitted infections (STIs) [1], which are caused by more than 30 different bacteria, viruses and parasites known to be transmitted through sexual contact, particularly human immunodeficiency virus (HIV), hepatitis B virus (HBV), and hepatitis C virus (HCV), which are identified as major human health threats today [2]. Expressions of sexual behaviors are influenced by both internal and external factors [35]. Internal factors include age, sex, hormones, etc., which stimulate the interest in or expression of sexual activities in humans [4, 5]. Sexual behaviors also depend on the stage of physical and mental development [6, 7]. Several studies have reported that sociocultural factors act as external factors to express or suppress some human-related sexual behaviors [810]. Some communities widely accept sexual-related behaviors in public areas, while others condemn this behavior [11]. Some communities accept polygamy, while others do not [12]. Sex workers are legal and allowed in some countries, whereas they are not allowed in others [13, 14]. However, reproduction and genetic continuation are the major factors driving sexual behaviors in all species, including humans [15].
Different communities have different levels of social acceptance or suppression of the expression of their sexual behaviors [16, 17]. Sexual behaviors in different communities or groups of people are also dominated by their economy, culture, lifestyle, etc. [18]. Moreover, the patterns or preferences of sexual behaviors are also different from person to person and community to community, including people living in Thailand [1921]. Many communities have already accepted the differences in human sexual behaviors or sexual patterns, such as male-to-female sexual intercourse and male-to-male sexual intercourse. [22, 23]. In addition, sexual behaviors are influenced by other factors, such as alcohol, drugs, the media, etc. [5, 8, 19, 24]. The use of alcohol or substances in different groups or different communities of people depends on various factors, including personal characteristics, education level, social status, culture, income, etc. [19, 20, 24]. Different sexual behaviors lead to different levels of exposure to HIV, HBV, and HCV [25, 26]. The United Nation defines that those people aged 15–24 are youths [27]. Youths are also defined as the sexually active stage [28]. Therefore, from several studies mentioned above [35, 810, 19, 24], youths aged 15–24 years are at the sexually active stage of life; as a result, they become one of the most vulnerable populations for drug and alcohol use and, consequently, at high risk of HIV, HBV, and HCV infections.
In 2017, the World Health Organization (WHO) reported that HIV/AIDS, HBV, and HCV were major global communicable diseases for humankind in this era with a large population of infected persons. Approximately 35 million are HIV-infected [29], 257 million are HBV-infected [30], and 71 million have chronic hepatitis C infections globally [31]. Currently, these diseases are widely recognized as major public health problems worldwide with significant impacts on human health and human life, particularly among those people who are living in highly epidemic areas, including Thailand [29].
Thailand has one of the highest HIV, HBV and HCV burdens in the world [32, 33], particularly among those with low socioeconomic status, including the hill tribe people [32]. Hill tribes are a group of people who have their own cultures, beliefs and lifestyles [34]. They migrated from the south of China and have settled in the border regions of Thailand-Myanmar-Laos over the past centuries [34]. In 2017, approximately 3.5 million hill tribe people lived in Thailand, and 300,000 hill tribe people lived in Chiang Rai Province [35] located in the northernmost part of Thailand. They are classified into six main tribes: Akha, Lahu, Hmong, Yao, Lisu, and Karen [35]. Each tribe has their own culture, lifestyle, and level of acceptance for the use of alcohol and substances in their communities [36]. Most hill tribe people are of low socioeconomic status, and some of them do not possess Thai identification cards (ID cards), which are used for free access to all public services, including education and health care systems [37]. Today, the hill tribe people who live in Thailand are the second and third generations of the first hill tribe generation that had moved to and settled in Northern Thailand in the early twentieth century [34]. Many hill tribe people still practice their own traditions, cultures and lifestyles, including sexual behaviors, particularly sexual intercourse in their early age, use alcohol before having sex, etc. [37]. Some tribes accept monogamy, and others accept polygamy. Akha accepts polygamy, while Lahu accepts getting married in younger age, less than 15 years [38]. Under globalization and urbanization, many have changed their sexual behaviors. They often work with or are exposed to people outside their community and have integrated with a new society with advanced communication technology, population migration, rapid economic growth, and a mixture of cultures, resulting in a risk of HIV, HBV, and HCV infection. Moreover, many factors may influence their sexual behaviors and practices, particularly among those in the sexually active stage of life and those aged 15–24 years.
There is limited scientific information available on sexual behaviors and HIV, HBV, and HCV among hill tribe youths. Therefore, this study aimed to understand the context of sexual behaviors and estimate the prevalence of HIV, HBV, and HCV among hill tribe youths aged 15–24 years. The study also aimed to assess several risk behaviors that could be associated with STIs between sexes and tribes among hill tribe youths.

Methods

Study design

A cross-sectional study was conducted to elicit information from the participants.

Study setting

In 2016, there were 749 hill tribe villages in Chiang Rai, which included 316 Lahu villages, 243 Akha villages, 63 Yao villages, 56 Hmong villages, 36 Karen villages, and 35 Lisu villages. In 2016, a total of 41,366 hill tribe families lived in Chiang Rai Province [35].
The 60 hill tribe villages in Chiang Rai, Thailand were the study setting. Ten villages of each tribe were randomly selected from a list of hill tribe villages based on data from 2017.

Study population

The study populations were hill tribe youths aged 15–24 years.

Inclusion and exclusion criteria

Inclusion criteria include being a hill tribe youth from one of the six hill tribe populations, aged 15–24 years old at the date of data collection, and fluent in Thai. Those selected samples who had a physical or mental condition resulting in the inability to provide essential information regarding the study protocols were excluded from the study.

Sample size

The sample size was calculated based on the following formula, which was developed by Daniel in 1999 [39], to find the minimum number for the study that was used while we did not know a certain number of the study population. The sample size was calculated based on the prevalence from previous or pilot studies.
$$ \mathrm{n}=\left[{{\mathrm{Z}}^2}_{\upalpha /2}\mathrm{PQ}\right]/{\mathrm{e}}^2 $$
Where n is the sample size required. Z was set at 1.96. P was assumed to be 0.17, which was the prevalence of HBsAg based on a study by Pichainarong et al. [40], which was a very important number for obtaining the best precision of the findings; then, the Q was 0.83. The accepted error or type one error in this study was set at e = 0.05, and the confidence interval was 95%. At least 1301 participants were required for the analysis. Then, we used the same number of participants in all six tribes.

Research instruments

A questionnaire and 5 mL blood specimens were used for data collection. A questionnaire was developed from a literature review, and an in-depth interview with 12 selected participants (six men and six women) aimed to ensure that all relevant information regarding sexual behaviors of the hill tribe youths was included in the questionnaire. It was then tested for validity using the item-objective congruence (IOC) technique, which was performed by three external experts in relevant fields. A pilot study was conducted with 20 selected samples (ten men and ten women) who had similar characteristics to the study participants to assess the reliability and feasibility of the questionnaire.
The questionnaire consisted of six parts. The first part consisted of 13 questions used to collect the participants’ general information, such as sex, age, tribe, marital status, income (referred to the money getting from work, not included having daily or weekly allowance from parents), etc. The second part consisted of 10 questions used to collect the participants’ health behaviors, such as smoking, alcohol use, and methamphetamine use. Three answer choices were provided for each question: yes, no, and quit using it. The third part consisted of 15 questions used to collect information on the participants’ sexual behaviors such “Do you have a partner?”, “Have you had sexual experience?”, “Did you use condom while having sex?”, “How many partners?”, “Have you ever been tested for HIV?”, “Have you been tested for HIV in the past 6 months? (from the interview date)”, etc.
The fourth part consisted of 8 questions used to collect information on the history of STIs, such as “Did you experience genital discharge?”, “Did you have itching in your genital organs?”, “Did you have bad smell from your genitals?”, etc. For these questions, the two answer choices were “yes” and “no”.
The fifth part contained 6 questions that were used to collect information regarding their experiences in receiving information regarding STIs and sources of information. The last part consisted of questions used to detect the knowledge and attitude of risk of STIs. For the knowledge questions, the answers were “correct” “not sure”, and “incorrect”. For the attitude section answers, the answers were “agree” “neutral” and “disagree”. In the last two parts of the questionnaire, there were questions in relation to the experience of information regarding STIs and the knowledge and attitude of risk of STIs. However, after analysis, there was no outcome of interest from questions part five and six; then, they were omitted from the results.

Laboratory analysis

Rapid immunochromatographic tests were used to detect hepatitis B surface antibody (anti-HBs), hepatitis B surface antigen (HBsAg), hepatitis C antibody (anti-HCV), and human immunodeficiency virus antibody-1 and-2 (anti-HIV-1 and -2). The Wondfo Diagnostic Kit® was used to detect anti-HBs, which showed a sensitivity of 97.3% and a specificity of 99.2%. The Wondfo One Step HBsAg Serum/Plasma Test® was used for HBsAg detection, which showed a sensitivity of 96.2% and a specificity of 99.3%. The Quick Hepatitis C Virus Serum/Plasma Test was used to detect antibodies to HCV, which showed a sensitivity of 96.6% and a specificity of 99.5%. Finally, the Wondfo Diagnostic Kit for HIV-1 and -2 Antibodies® was used to detect the antibodies of HIV-1 and HIV-2, with a sensitivity of 100.0%.

Process of data gathering

Access to villages was granted by district government officers. All selected village headmen were contacted 2 days before approaching the participants for data collection. All youths who were living in the selected villages were listed by the village headman. Those who met the inclusion and exclusion criteria were invited to participate in the study and were informed by the village headman regarding the research objectives and protocols through the village broadcast system.
Upon reaching the village, participants were provided all essential information, and informed consent was obtained on a voluntary basis form before completing the questionnaire by a self-administered method in a private and confidential room at the village. Five milliliter blood specimens were collected. Blood specimens were packed and kept in a temperature-controlled box and were delivered to the laboratory for analysis the same day at the Mae Fah Laung University Medical Laboratory Center.

Statistical analysis

Data were double entered into an Excel sheet. Before analysis, the data were cleaned. No missing data were found. Data were analyzed by SPSS version 24, 2016 (SPSS, Chicago, IL). Descriptive and inferential statistics were used for analysis and interpretation of the results. A chi-square test or Fisher’s exact test was used to detect the associations between variables at the alpha = 0.05 significance level.

Ethical consideration

All research proposals, protocols and consents to participate were approved by the Mae Fah Luang University Research Ethics Committee on Human Research (REH-60030). Interviews for data collection and blood specimen collections for laboratory testing were conducted after all participants received oral and written explanations regarding the study objectives and procedures, including any possible risks for physical and mental harm; participants voluntarily agreed by signing on the consent form. Parental consent was obtained from the parent/guardian of participants aged less than 18 years after given the explanations by a village headman and their child (participants). After completion of the analysis, all completed questionnaires were destroyed properly. All relevant data files were kept on a personal computer with secure passwords. A small gift (a piece of towel that was less than 2$US) was provided to all participants to show appreciation for their cooperation.

Results

In total, 1325 participants were enrolled in the study. The majority were females (60.5%), aged 15–17 years (58.9%), and single (94.3%). More than half were Buddhist (56.1%) and lived with their parents (59.8%). A total of 72.5% graduated high school, and 90.0% had no income (Table 1).
Table 1
Demographic characteristics of the participants
Characteristics
n (%)
Total
1325 (100.0)
Sex
 Male
524 (39.5)
 Female
801 (60.5)
Age (year)
 15–17
780 (58.9)
 18–20
398 (30.0)
 21–24
147 (11.1)
Tribe
 Akha
449 (33.9)
 Lahu
207 (15.6)
 Hmong
215 (16.2)
 Yao
177 (13.4)
 Karen
160 (12.1)
 Lisu
117 (8.8)
Marital status
 Single
1250 (94.2)
 Married
65 (5.0)
 Separated
10 (0.8)
Religion
 Buddhism
743 (56.1)
 Christianity
574 (43.3)
 Islam
8 (0.6)
Education
 Illiterate
47 (3.5)
 Primary school
52 (3.9)
 High school
960 (72.5)
 Vocational school
248 (18.7)
 University
18 (1.4)
Occupation
 Unemployed
114 (8.6)
 Student
1058 (79.8)
 Farmer
39 (2.9)
 Laborer
104 (7.8)
 Merchant
10 (0.8)
Income
 No
1192 (90.0)
 Yes
133 (10.0)
Living place
 Own house
935 (70.6)
 Dormitory
331 (25.0)
 Relative’s house
51 (3.8)
 Other
8 (0.6)
Living with
 Alone
97 (7.3)
 Parents
793 (59.8)
 Father
31 (2.3)
 Mother
98 (7.4)
 Relative
106 (8.0)
 Brother
59 (4.5)
 Friends
98 (7.4)
 Partners
41 (3.1)
 Employer
2 (0.2)
Participants used different substances in different proportions: 14.5% smoked, 22.4% drank alcohol, 2.6% used methamphetamines, and 4.5% used marijuana. In addition, 14.2% had tattoos, 61.4% had ear piercings, 12.2% had a history of medical surgery, 4.0% had experienced injection from illegal practitioners, and 2.0% had experienced acupuncture (Table 2).
Table 2
Comparison of risk behaviors between the sexes
Characteristics
Total
n
%
Male
Female
χ2
p-value
n
%
n
%
Total
1325
100.0
524
39.5
801
60.5
N/A
N/A
Smoking
 Yes
192
14.5
165
85.9
27
14.1
202.12
< 0.001*
 No
1133
85.5
359
31.7
774
68.3
  
Alcohol use
 Yes
297
22.4
205
69.0
92
31.0
139.12
< 0.001*
 No
1028
77.6
319
31.0
709
69.0
  
Methamphetamine use
 Yes
35
2.6
29
82.9
6
17.1
28.20
< 0.001*
 No
1290
97.4
495
38.4
795
61.6
  
Heroin use
 Yes
23
1.8
19
82.6
4
17.4
18.15
< 0.001*
 No
1302
98.2
505
38.8
797
61.2
  
Crystal methamphetamine use
 Yes
20
1.5
15
75.0
5
25.0
10.67
0.001*
 No
1305
98.5
509
39.0
796
61.0
  
Opium use
 Yes
21
1.7
17
81.0
4
19.0
15.30
< 0.001*
 No
1304
98.4
507
38.9
797
61.1
  
Marijuana use
 Yes
60
4.5
54
90.0
6
10.0
66.91
< 0.001*
 No
1265
95.5
470
37.2
795
62.8
  
Tattooed
 Yes
188
14.2
119
63.3
69
36.7
51.69
< 0.001*
 No
1137
85.8
405
35.6
732
64.4
  
Ear piercing
 Yes
813
61.4
193
23.7
620
76.3
219.91
< 0.001*
 No
512
38.6
331
64.6
181
35.4
  
History of blood transfusion
 Yes
50
3.8
20
40.0
30
60.0
0.004
0.947
 No
1275
96.2
504
39.5
771
60.5
  
History of organ transplant
 Yes
11
0.8
8
72.7
3
27.3
5.10
0.024*, a
 No
1314
99.2
516
39.3
798
60.7
  
History of medical surgery
 Yes
161
12.2
81
50.3
80
49.7
8.88
0.003*
 No
1164
87.8
443
38.1
721
61.9
  
Injection from illegal practitioners
 Yes
53
4.0
33
62.3
20
37.7
11.91
0.001*
 No
1272
96.0
491
38.6
781
61.4
  
Acupuncture
 Yes
26
2.0
16
61.5
10
38.5
5.36
0.021*
 No
1299
98.0
508
391
791
60.9
  
Shared a toothbrush
 Yes
267
20.2
99
37.1
168
62.9
0.85
0.356
 No
1058
79.8
425
40.2
633
59.8
  
History of hepatitis B vaccination
 Yes
116
8.8
42
63.2
74
63.8
3.17
0.366
 No
476
35.9
192
40.3
284
59.7
  
 Not sure
433
32.7
161
37.2
272
62.8
  
 Unknown
300
22.6
129
43.0
171
57.0
  
Family history of hepatitis B
 Yes
31
2.3
12
38.7
19
61.3
0.79
0.850
 No
797
60.2
315
39.5
482
60.5
  
 Not sure
185
14.0
78
42.2
107
57.8
  
 Unknown
312
23.5
119
38.1
193
61.9
  
Work experience outside the village
 Yes
143
17.1
82
57.3
61
42.7
29.56
< 0.001*
 No
693
82.9
230
33.2
463
66.8
  
Work experience abroad
 Yes
10
1.2
4
40.0
6
60.0
0.31
0.860a
 No
826
98.8
308
37.3
518
62.7
  
*Significance level at α =0.05
aFisher’s exact test
While making comparisons between sexes regarding risky behaviors, 14 behaviors or variables were significantly different between the sexes: smoking, alcohol use, methamphetamine use, heroin use, crystal methamphetamine use, opium use, marijuana use, tattoos, ear piercings, a history of organ transplants, a history of medical surgery, a history of drug injection from illegal practitioners, acupuncture, and experience working outside the village. The male sex made up a greater proportion of all variables except ear piercing, which was greater in females (Table 2).
In total, 402 persons (30.3%) reported having sexual experience (average age of first sexual intercourse was 16.7 years, with a minimum of 12 years and maximum of 23 years). Both males and females had similar proportions of having girlfriends (38.5%) and boyfriends (38.2%). 80.6% reported having sexual experience with their current boyfriend or girlfriend. Among those who had sexual experience, 42.0% had experienced one-night stands, 26.9% had sexual experience with prostitutes (commercial sex workers) within 1 year prior to the study, 36.0% had regular sexual partners, and 18.9% used alcohol prior to having sexual intercourse. Sixty-three (15.7%) participants had previously experienced testing for HIV/AIDS. However, only 5.0% had been tested for HIV/AIDS within the 6 months prior to the study (Table 3).
Table 3
Comparison of sexual behaviors between sexes
Characteristics
n
%
Male
Female
χ2
p-value
n
%
n
%
Having boyfriend/girlfriend
 Yes
509
38.4
202
39.7
307
60.3
0.01
0.935
 No
816
61.6
322
39.5
494
60.5
  
Number of boyfriends/girlfriends
 Only one
489
96.1
187
38.2
302
61.8
10.84
0.001*
 More than one
20
3.9
15
75.0
5
25.0
  
Sexual experience
 Yes
402
30.3
194
48.3
208
51.7
18.31
< 0.001*
 No
923
69.7
330
35.8
593
64.2
28.76
 
Sexual experience with current boyfriend/girlfriend
 Yes
324
80.6
141
43.5
183
56.5
15.02
< 0.001*
 No
78
19.4
53
67.9
25
32.1
  
Sexual experience with one-night stand
 Yes
169
42.0
99
58.6
70
41.4
12.43
< 0.001*
 No
233
58.0
95
40.8
138
59.2
  
Sexual experience with a prostitute 1 year prior to the study
 Yes
108
26.9
61
56.5
47
43.5
3.99
0.046*
 No
294
73.1
133
45.2
161
54.7
  
Having a regular partner
 Yes
145
36.0
50
34.5
95
65.5
17.23
< 0.001*
 No
257
64.0
144
56.0
113
44.0
  
Use alcohol or drugs prior to having sexual intercourse
 Yes
76
18.9
40
52.6
36
47.4
1.24
0.536
 Sometimes
18
4.5
10
55.6
8
44.4
  
 No
308
76.6
144
46.8
164
53.2
  
HIV testing experience
 Yes
63
15.7
30
47.6
33
52.4
0.01
0.912
 No
339
84.3
164
48.4
175
51.6
  
HIV testing 6 months prior to the study
 Yes
43
5.0
23
53.5
20
46.5
0.52
0.468
 No
359
73.1
171
47.6
188
52.4
  
HIV testing 6 months to 1 year prior to the study
 Yes
41
10.2
22
53.7
19
46.3
0.53
0.465
 No
361
89.8
172
47.6
189
52.4
  
*Significance level at α =0.05
In the comparison of sexual behaviors between males and females, six variables were found to be significantly different between sexes: number of boyfriends or girlfriends, sexual experience, sexual experience with current boyfriends or girlfriends, sexual experience with one-night stands, sexual experience with a prostitute within 1 year prior to the study, and having a regular partner. These variables were found to be more common among boys than girls. However, there were no significant differences between sexes regarding testing for HIV (Table 3).
Regarding the risk behaviors between the tribes, four variables were statistically significant: smoking, alcohol use, hepatitis B vaccination in family members, and work experience outside the village (Table 4). However, some variables could not be analyzed due to the small sample size in cells.
Table 4
Comparison of risk behaviors among tribes
Characteristics
Akha
Lahu
Hmong
Yao
Karen
Lisu
χ2
p-value
n
%
n
%
n
%
n
%
n
%
n
%
Total
449
33.9
207
15.6
215
16.2
177
13.4
160
12.1
117
8.8
N/A
N/A
Smoking
 Yes
64
33.3
44
22.9
20
10.4
14
7.3
28
14.6
22
11.5
21.45
0.001*
 No
385
34.0
163
14.4
195
17.2
163
14.4
132
11.7
95
8.4
  
Alcohol use
 Yes
84
28.3
57
19.2
35
11.8
38
12.8
49
16.5
34
11.4
20.58
0.001*
 No
365
35.5
180
17.5
180
17.5
139
13.5
111
10.8
83
8.1
  
Methamphetamine use
 Yes
18
51.4
4
11.4
4
11.4
1
2.9
6
17.1
2
5.7
N/A
N/A
 No
431
33.4
203
15.7
221
16.4
176
13.6
154
11.9
115
8.9
  
Heroin use
 Yes
10
43.5
7
30.4
4
17.4
0
0.0
1
4.3
1
4.3
N/A
N/A
 No
439
33.7
200
15.4
211
16.2
177
13.6
159
12.2
116
8.9
  
Crystal Methamphetamine use
 Yes
10
50.0
4
20.0
3
15.0
0
0.0
2
10.0
1
5.0
N/A
N/A
 No
439
33.6
203
15.6
212
16.2
177
13.6
158
12.1
116
8.9
  
Opium use
 Yes
9
42.9
5
23.8
3
14.3
0
0.0
3
14.3
1
4.8
N/A
N/A
 No
440
33.7
202
15.5
212
16.3
177
13.6
157
12.0
116
8.9
  
Marijuana use
 Yes
25
41.7
8
13.3
6
10.0
10
16.7
9
15.0
2
3.3
5.90
0.306
 No
424
33.5
199
15.7
209
16.5
167
13.2
151
11.9
115
9.1
  
Tattooed
 Yes
74
39.4
36
19.1
23
12.2
24
12.8
16
8.5
15
8.0
8.37
0.137
 No
375
33.0
171
15.0
192
16.9
153
13.5
144
12.7
102
9.0
  
Ear piercing
 Yes
285
35.1
134
16.5
131
16.1
100
12.3
92
11.3
71
8.7
4.65
0.460
 No
164
32.0
73
14.3
84
16.4
77
15.0
68
13.3
46
9.0
  
History of blood transfusion
 Yes
18
36.0
12
24.0
5
10.0
1
2.0
8
16.0
6
12.0
N/A
N/A
 No
431
33.8
195
15.3
210
16.5
176
13.8
152
11.9
111
8.7
  
History of organ transplants
 Yes
6
54.5
4
36.4
0
0.0
0
0.0
1
9.1
0
0.0
N/A
N/A
 No
443
33.7
203
15.4
215
16.4
117
13.5
159
12.1
117
8.9
  
History of medical surgery
 Yes
48
29.8
30
18.6
27
16.8
16
9.9
20
12.4
20
12.4
6.29
0.278
 No
401
34.5
177
15.2
188
16.2
161
13.8
140
12.0
97
8.3
  
Injection from illegal practitioners
 Yes
23
43.4
12
22.6
3
5.7
5
9.4
3
5.7
7
13.2
10.72
0.057a
 No
426
33.5
195
15.3
212
16.7
172
13.5
157
12.3
110
8.6
  
Acupuncture
 Yes
6
23.1
8
30.8
4
15.4
1
3.8
3
11.5
4
15.4
7.91
0.161a
No
443
34.1
199
15.3
211
16.2
176
13.5
157
12.1
113
8.7
  
Shared a toothbrush
 Yes
88
33.0
31
11.6
48
18.0
42
15.7
35
13.1
23
8.6
5.88
0.318
 No
361
34.1
176
16.6
167
15.8
135
12.8
125
11.8
94
8.9
  
History of hepatitis B vaccination
 Yes
44
37.9
12
10.0
19
16.4
16
13.8
14
12.1
11
9.5
16.02
0.381
 No
174
36.6
71
14.9
70
14.7
67
14.1
52
10.9
42
8.8
  
 Not sure
136
31.4
66
15.2
81
18.7
48
11.1
60
13.9
42
9.7
  
 Unknown
95
31.7
58
19.3
45
15.0
46
15.3
34
11.3
22
7.3
  
Family history of hepatitis B
 Yes
8
25.8
8
25.8
8
25.8
7
22.6
0
0.0
0
0.0
34.23
0.003*
 No
3000
37.6
115
14.4
112
14.1
109
13.7
91
11.4
70
8.8
  
 Not sure
60
32.4
28
15.1
33
17.8
22
11.9
21
11.4
21
11.4
  
 Unknown
81
26.0
56
17.9
62
19.9
39
12.5
48
15.4
26
8.3
  
Work experience outside the village
 Yes
50
35.0
29
30.3
13
9.1
14
9.8
25
17.5
12
8.4
17.94
0.003*
 No
201
29.0
81
11.7
119
17.2
122
17.6
105
15.2
65
9.4
  
Work experience abroad
 Yes
3
3.0
3
30.0
0
0.0
0
0.0
0
0.0
4
40.0
N/A
N/A
 No
248
30.0
107
13.0
132
16.0
136
16.5
130
15.7
73
8.8
  
N/A No statistical analysis available
*Significance level at α =0.05
aFisher’s exact test
Regarding sexual behaviors between the tribes, six variables were found to have statistical significance: having a boyfriend/girlfriend, number of boyfriends or girlfriends, sexual experience, HIV testing experience, HIV testing within 6 months prior to the study, and HIV testing within 6 months to 1 year prior to the study. These variables of having a boyfriend/girlfriend, number of boyfriends or girlfriends, and sexual experience were found to be more common among the Akha, Lahu, and Hmong than other tribes (Table 5).
Table 5
Comparison of sexual behaviors between tribes
Characteristics
Akha
Lahu
Hmong
Yao
Karen
Lisu
χ2
p-value
n
%
n
%
n
%
n
%
n
%
n
%
Having boyfriend/girlfriend
 Yes
149
29.3
88
17.3
107
21.0
63
12.4
56
11.0
46
9.0
19.79
0.001*
 No
300
36.8
119
14.6
108
13.2
114
14.0
104
12.7
71
8.7
  
Number of boyfriends/girlfriends
 Only one
147
30.1
76
15.5
104
21.3
63
12.9
55
11.2
44
9.0
20.28
< 0.001*
 More than one
2
10.0
12
60.0
3
15.0
0
0.0
1
5.0
2
10.0
  
Sexual experience
 Yes
111
27.6
84
20.9
68
16.9
41
10.2
53
13.2
45
11.2
25.69
< 0.001*
 No
338
36.6
123
13.3
147
15.9
136
14.7
107
11.6
72
7.8
  
Sexual experience with current boyfriend/girlfriend
 Yes
93
28.7
64
19.8
56
17.3
37
11.4
42
13.0
32
9.9
6.98
0.222
 No
18
23.1
20
25.6
12
15.4
4
5.1
11
14.1
13
16.7
  
Sexual experience with one-night stand
 Yes
46
27.2
36
21.3
28
16.6
25
14.8
20
11.8
14
8.3
8.70
0.122
 No
65
27.9
48
20.6
40
17.2
16
6.9
33
14.2
31
13.3
  
Sexual experience with a prostitute 1 year prior to the study
 Yes
33
30.6
22
20.4
15
13.9
18
16.7
9
8.3
11
10.2
10.10
0.072
 No
78
26.5
62
21.1
53
18.0
23
7.8
44
15.0
34
11.6
  
Having a regular partner
 Yes
42
29.0
34
23.4
26
17.9
12
8.3
17
11.7
14
9.7
2.66
0.751
 No
69
26.8
50
19.5
42
16.3
29
11.3
36
14.0
31
12.1
  
Used alcohol or drugs prior to having sexual intercourse
 Yes
18
23.7
16
21.1
12
15.8
9
11.8
7
9.2
14
18.4
9.46
0.489
 Sometime
5
27.8
2
11.1
2
11.1
3
16.7
3
16.7
3
16.7
  
 No
88
28.6
66
21.4
54
17.5
29
9.4
43
14.0
28
9.1
  
HIV testing experience
 Yes
13
20.6
18
28.6
13
20.6
0
0.0
11
17.5
8
12.7
12.84
0.025*
 No
98
28.9
66
19.5
55
16.2
41
12.1
42
12.4
37
10.9
  
HIV testing 6 months prior to the study
VYes
3
7.0
21
48.8
11
25.6
0
0.0
5
11.6
3
7.0
33.31
< 0.001*
 No
108
30.1
63
17.5
57
15.9
41
11.4
48
13.4
42
11.7
  
HIV testing 6 months to 1 year prior to the study
 Yes
4
9.8
15
36.6
12
29.3
0
0.0
6
14.6
4
9.8
19.58
0.001*
 No
107
29.6
69
19.1
56
15.5
41
11.4
47
13.0
41
11.4
  
*Significance level at α =0.05
According to the sexual patterns of males, 11.5% were MSM, and 4.6% were bisexual. For females, 5.0% preferred to have sex with females, and 12.0% were bisexual. One-third met their boyfriend or girlfriend through Facebook, and another one-third met them as classmates at school. Among those who had sexual experience, 88.1% reported having their first intercourse with a boyfriend or girlfriend, and more than half did not use a condom. Almost one-third (26.9%) of participants had sex with a prostitute 1 year prior to the study, and 8.0% engaged in commercial sex (Table 6).
Table 6
Sexual patterns among the participants who had sexual experience
Characteristics
n
%
Total
1325
100.0
Male sexual orientation (n = 524)
 Males who have sex with males (MSM)
60
11.5
 Males who have sex with females
440
84.0
 Males who have sex with both males and females (Bisexual)
24
4.6
Female sexual orientation (n = 801)
 Females who have sex with males
665
83.0
 Females who have sex with females
40
5.0
 Females who have sex with both males and females
96
12.0
Channel of meeting boyfriend/girlfriend
 Facebook
172
33.8
 Line
2
0.4
 Phone
40
7.9
 Night club
14
2.8
 Work together
12
2.4
 Classmate
171
33.6
 Live in the same village
98
19.3
First sexual intercourse with (n = 402)
 Boyfriend/girlfriend
354
88.1
 Spouse
41
10.2
 Prostitute
2
0.5
 One-night stand
5
1.2
Used condom while having first sexual intercourse (n = 402)
 Yes
193
48.0
 No
190
57.2
 Cannot remember
19
4.8
Had a sexual experience as a male having sex with males (n = 181)
 Yes
52
28.8
 No
129
71.2
Had sex with a prostitute 1 year prior to the study (n = 402)
 Yes
108
26.9
 No
294
73.1
Participated in sexual swinging (n = 402)
 Yes
7
1.7
 No
338
84.1
 No answer
57
14.2
Worked as a sex worker (n = 402)
 Yes
32
8.0
 No
370
92.0
Had a sexual experience with a foreigner (n = 402)
 Yes
37
9.2
 No
365
90.8
Regarding STIs, 78.1% of females had known STIs, 47.7% had pelvic pain, 8.6% had a bad smell, 0.2% had discharge, 1.2% had vaginal ulcers, and 1.7% had lymphadenitis in the groin area. In males, 63.5% had known STIs, 3.4% had discharge, 12.0% had pain during urination, and 4.4% had lymphadenitis in the groin area. There was a significant difference in the proportion of those who had known STIs, discharge (a condition in which fluid drained from the genital area as a result of a bacterial, viral or yeast infection), pain during urination, and lymphadenitis in the groin area between both sexes (Table 7).
Table 7
STI symptoms among the participants
Characteristics
Female (Total = 801)
Male (Total = 524)
χ2
p-value
n
%
n
%
Known STIs
 Yes
626
78.1
333
63.5
40.89
< 0.001*
 No
100
12.5
135
25.8
  
 Not sureb
75
9.4
56
10.7
  
Pelvic pain
 Yes
382
47.7
N/A
N/A
N/A
N/A
 No
340
42.4
N/A
N/A
N/A
N/A
 Not sureb
79
9.9
N/A
N/A
N/A
N/A
Discharge
 Yes
2
0.2
18
3.4
22.61
< 0.001*,a
 No
773
96.6
470
89.7
  
 Not sureb
26
3.2
36
6.9
  
Bad smell from vagina
 Yes
69
8.6
N/A
N/A
N/A
N/A
 No
642
80.1
N/A
N/A
N/A
N/A
 Not sureb
90
11.3
N/A
N/A
N/A
N/A
Pain during urination
 Yes
51
6.4
63
12.0
14.93
< 0.001*
 No
700
87.4
407
77.7
  
 Not sureb
50
6.2
54
10.3
  
Vaginal ulcer
 Yes
10
1.2
N/A
N/A
N/A
N/A
 No
759
94.8
N/A
N/A
N/A
N/A
 Not sureb
32
4.0
N/A
N/A
N/A
N/A
Lymphadenitis in groin area
 Yes
14
1.7
23
4.4
9.31
< 0.002*
 No
756
94.4
452
86.3
  
 Not sureb
31
3.9
49
9.3
  
Vaginal itching
 Yes
109
13.6
N/A
N/A
N/A
N/A
 No
601
75.0
N/A
N/A
N/A
N/A
 Not sureb
91
11.4
N/A
N/A
N/A
N/A
*Significance level at α =0.05
aFisher exact test
bThese row numbers were not included in the analysis
From a total of 1325 participants, 836 blood specimens (63.1%) were voluntarily obtained. Among those who allowed blood specimen collection, nobody was positive for anti-HIV-I and -II, 6.4% were positive for anti-HBs, 1.9% were positive for HBsAg, and 0.2% were positive for anti-HCV. Only 3 participants (3.5%) reported having been vaccinated for hepatitis B and were positive for anti-HBs (Table 8).
Table 8
Prevalence of human immunodeficiency virus antibody-I and-II, hepatitis B surface antibody, hepatitis B surface antigen, hepatitis C antibody among the participants
Characteristics
n (Total = 836)
%
Human immunodeficiency virus antibody- I and-II
 Positive
0
0.0
 Negative
836
100.0
Hepatitis B surface antibody
 Positive
85
10.2
 Negative
751
89.8
Hepatitis B surface antigen
 Positive
25
2.9
 Negative
811
97.1
Hepatitis C antibody
 Positive
2
0.2
 Negative
834
99.8

Discussion

Several risk behaviors and sexual behaviors related to HIV, HBV, and HCV infections were detected among hill tribe youths in Thailand, such as having number of boyfriends or girlfriends, having sexual experience, sexual experience with one-night stands, sexual experience with a prostitute within 1 year prior to the study, etc. A large proportion of hill tribe youths have pierced ears, use alcohol, use a shared toothbrush, have work experience outside the village, smoke and have tattoos. However, less than 10.0% had a history of hepatitis B vaccination. Regarding sexual experience, almost one-third had boyfriends or girlfriends, and most of them had already had sexual intercourse with their partners. A large proportion had sexual experience with one-night stands and prostitutes with 1 year prior to the study. Only 15.7% had a history of HIV testing.
The seroprevalence of HIV and HCV was low; however, the prevalence of HBV was high (2.9% for HBsAg and 10.2% for anti-HBs). UNAIDS reported that in 2017, the HIV prevalence among people aged 15 and older was 0.2–0.4% [41]. However, in our study, among 836 blood specimens obtained from the participants, none were positive for HIV. Leroi et al. [42] reported that the seroprevalence of HBsAg in Thailand was 5.1%, which is greater than that found in our study. In a recent study on the seroprevalence of HCV in the Thai population, Wasitthankasem, et al. [43] reported a seroprevalence of 0.9%, which was greater than that in the hill tribe youths from our study at 0.2%.
Several studies have reported the impact of sociocultural factors on risk behaviors and sexual behaviors in different communities [5, 1012]. A study on culture and sexual behaviors among Iranian and New Zealand women found that sexual behaviors and sexual desire and pleasure were related to community culture, beliefs and past experiences regarding sexual activities [44]. A change in the social context or diversity of socialization led to a change in risky behaviors and sexual behaviors among youths in Ghana [45]. Moreover, a study by Mpondo et al. [46] reported that apart from culture, parenting styles and school curriculum affected risk behaviors, including sexual behaviors, of youths. A study in Nordic countries demonstrated that cultural and socioeconomic factors were associated with substance use among youths [47]. This was supported by a study in the United States that was conducted in different minority high school children with different cultural backgrounds, and it demonstrated that there were different risk behaviors, including sexual behaviors, particularly related to HIV infection [48]. This finding coincides with our study, which found that some behaviors, including sexual behaviors, are different between sexes and tribes, such as ear piercing, alcohol use, smoking, sexual experience, number of sexual partners, etc., which might be affected by the participants’ cultures and socioeconomic statuses. For instance, Akha people accept polygamy, while ear piercing is common in Lisu females [35, 49]. Moreover, Lahu males accept starting drinking alcohol in young age [50].
Many studies conducted in different countries, regions, and populations have demonstrated the associations of risk behaviors, sexual behaviors, and HIV, HBV, and HCV prevalence among youths [8, 14, 18]. They clearly showed that several risk behaviors and sexual behaviors impacted individual and community health in both developed and developing countries. A study of youths’ risky behaviors in the United States in 2017 showed that sex, race/ethnicity, and number of partners, including substance use among youths, were associated with youths’ health, particularly regarding HIV and HBV infections [51]. A systematic review on the prevalence of drug use, sexual activities, tattooing, and piercing from 2007 to 2017 included 9303 publications from around the world and reported that these behaviors were associated with HIV, HBV, and HCV [52]. A study in Nigeria reported that sharing items, tattooing, and a history of surgery were highly associated with HBV infection [53]. Ssewanyana et al. [54] conducted a systematic review and meta-analysis on health risk behaviors among adolescents in sub-Saharan Africa and found that the adolescents in the area had unprotected sexual intercourse with boyfriends or girlfriends leading to HIV and HBV infection. Moreover, a study in Beijing, China in 2018 reported that illegal drug use, number of sexual partners, and condom use were predictors of HIV infection among MSM aged 15–14 years [55]. Tran et al. [56] also reported that substance use and sexual intercourse with sex workers were associated with HIV infection among ethnic minority youths in Vietnam. In addition, a study in China by Pei et al. [57] on rural ethnic minority youths found that working outside the village and illiteracy were risk behaviors associated with HIV infection. In our study, there were several risk behaviors and sexual behaviors for HIV, HBV, and HCV infections among the hill tribe youths in Thailand, such as ear piercing, using alcohol, using a shared toothbrush, working outside the village, smoking, tattooing, sexual experience at an early age, and having a large number of sexual partners.
One interesting finding from our study was that the hill tribe youths in Thailand were highly vulnerable to HIV, HBV, and HCV infections due to their own behaviors, poor health education, low socioeconomic status, exposure to people outside the village, and low coverage of vaccination. In addition, the degree of behavioral expression and sexual behavior among the tribes and between the sexes were also different. This means that the different sexes and different tribes have different levels of exposure to HIV, HBV, and HBV. This coincides with some studies conducted in Thailand [20, 21, 24].
Some limitations were found in this study that could impact the analysis of the findings. Of those who participated in the study, 36.9% were not willing to provide blood specimens for HIV, HBV, and HCV marker detection. Two characteristics were significantly different between those who submitted blood specimens and those who did not: sex and tribe (see Appendix). Females were more willing to submit blood specimens than males, and Akha and Lahu participants were less willing to submit blood specimens than the others. However, the remaining number of participants who voluntarily allowed their blood specimens to be obtained was enough to be representative of the seroprevalence of HIV, HBV, and HCV among hill tribe youths in Thailand. Another factor that could impact the results is recall bias, such as the questions on number of partners, history of HBV vaccination, etc. An advantage of the cross-sectional design, which demonstrated the seroprevalence of the diseases, is that the results can be used in public health policy development, especially for resource allocation. This study also provided information on risk behaviors and sexual behaviors among the minority who are highly vulnerable to HIV, HBV, and HCV infections, which could be used for developing effective public health interventions for certain populations in the future.

Conclusions

A large proportion of the hill tribe youths in Thailand engage in various risk behaviors and sexual behaviors related to HIV, HBV and HCV infections, such as substance use, using a shared toothbrush, injection with illegal substances, and working outside the village. Additionally, they had a low rate of HBV vaccination and a high rate of ear piercing, which had a significantly high prevalence rate in females. Hill tribe youths are also exposed to sexual experience at an early age, many sexual partners, prostitutes, and one-night stands, but most of them are not regularly tested for HIV. Under the conditions of economic constraints and poor education, many hill tribe youths desire to work outside the community and improve their families’ economic status; as such, they become a new vulnerable population for HBV, HCV and HIV infections. Providing a national-specific policy and strategy to improve the school attendance rate and create jobs with reasonable wages for hill tribe youths is urgently required to prepare and maintain them in their home setting, while effective health education and risk and sexual behavior change interventions are also needed.

Acknowledgements

The author would like to thank all the participants and hill tribe village headmen for their great participation in the project. The author also would like to extend the appreciation to the research assistants from the center of excellence for the hill tribe health research for helping in collecting data in the fields. Finally, the author would like to thank Mae Fah Luang University, and WHO-Thailand for technical support throughout the project.
All research proposal, protocol and consent to participate were approved by the Mae Fah Luang University Research Ethics Committee on Human Research (REH-60030). Interview for data collection and drawing blood specimen for laboratory testing were conducted after all participants received oral and written explanation regarding the study objectives and procedures including any possible risk for physical and mental harms, and obtaining their voluntary agreement by signing on the consent form. The parental consent was obtained from the parent/guardian for participants under 16 years old by written which was agreed by the ethic committee. After completion of the analysis, all completed questionnaires were destroyed properly. All relevant data files were kept with security passwords in a personal computer. A small gift was provided to all participants to appreciate their cooperation.
Not applicable.

Competing interests

The author declares that he has no competing interests.
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Anhänge

Appendix

Table 9
Comparison of key characteristics between those who submitted blood specimens and those who did not
Characteristics
Obtained blood (Total = 836)
No obtained blood (Total = 489)
χ2
p-value
n
%
n
%
Sex
 Male
312
59.5
212
40.5
4.69
0.030*
 Female
524
65.4
277
34.6
  
Age (year)
 15–17
492
63.1
288
36.9
0.41
0.813
 18–20
248
62.3
150
37.7
  
 21–24
96
65.3
51
34.7
  
Tribe
 Akha
251
55.9
198
44.1
56.42
< 0.001*
 Lahu
110
53.1
97
46.9
  
 Hmong
132
61.4
83
38.6
  
 Yao
136
76.8
41
23.2
  
 Karen
130
81.3
30
18.8
  
 Lisu
77
65.8
40
34.2
  
Sexual experience
 Yes
243
60.4
159
39.6
1.73
0.188
 No
593
64.2
330
35.8
  
Known STIs
 Yes
602
62.7
357
37.3
0.08
0.771
 No
156
66.4
79
33.6
  
 Not sure
78
59.5
53
40.5
  
Alcohol use
 Yes
105
63.3
61
36.7
2.15
0.341
 Ever
75
57.3
56
42.7
  
 No
656
63.8
372
36.2
  
Smoking
 Yes
70
59.8
47
40.2
4.07
0.130
 Ever
40
53.3
35
46.7
  
 No
726
64.1
407
35.9
  
*Significance level at α =0.05
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Metadaten
Titel
Sexual behaviors and seroprevalence of HIV, HBV, and HCV among hill tribe youths of Northern Thailand
verfasst von
Tawatchai Apidechkul
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2019
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-019-7459-9

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