Skip to main content
Erschienen in: BMC Women's Health 1/2019

Open Access 01.12.2019 | Research article

An investigation of the effects of infertility on Women’s quality of life: a case-control study

verfasst von: Katayoun Bakhtiyar, Ramin Beiranvand, Arash Ardalan, Farahnaz Changaee, Mohammad Almasian, Afsaneh Badrizadeh, Fatemeh Bastami, Farzad Ebrahimzadeh

Erschienen in: BMC Women's Health | Ausgabe 1/2019

Abstract

Background

Human instinctively desire to have offspring. Infertility can cause painful emotional experiences throughout the life mainly known as quality of life impairment. This study aimed to investigate the impact of infertility on a woman’s quality of life.

Methods

A number of 180 infertile and 540 fertile women participated in this matched case-control study. The cases were selected through a combination of multistage stratified and cluster sampling methods. For each infertile woman three fertile women were randomly selected. The data gathering instrument consisted of demographic variables and the WHOQOL-BREF questionnaire. Data collection was conducted through interview with participants. The multivariate marginal model and SPSS software 21 were used for data analyses with a significance level of 0.05.

Results

The results of the multivariate modeling show infertility can potentially affect various aspects of women’s quality of life such as physical health (p <  0.001), mental health (p <  0.001), social health (p <  0.001) and the total score of quality of life (p <  0.001) significantly.

Conclusion

An infertile woman practice a relatively lower scores in QOL sub-scales of mental, physical and environmental health; while they experience a higher social health score than a fertile woman.
Hinweise

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
GEE
Generalized Estimating Equations
IVF
In Vitro Fertilisation
SF-36
36-Item Short Form Survey
WHO
World Health Organization
WHOQOL-BREF
WHO Quality of Life-BREF

Background

Reproduction is known as an essential human desire so that infertility may cause a great deal of psychosocial impairment [1]. According to WHO, infertility is defined as a disease of the reproductive system in which pregnancy does not occur after 1 year of continued intercourse [2]. Infertility is considered as a global concern which affects many aspects of life in both genders [3]. The rates even go up to 186 million people around the world [4]. About 10 percents of couples are currently suffering from infertility in Iran [5].
Infertility may work as a painful emotional experience [6, 7]. It can cause a lot of psychological issues including stress, anxiety, depression, diminished self-esteem, declined sexual satisfaction, and reduced quality of life [810]. The resulted psychosocial issues affect the female gender adversely more than her spouse [4], especially in societies where there are prejudices against women [911]. As such, an infertile woman may show a relatively high level of frustration and anger which affect her relationship with family, friends and even her spouse. Likewise, infertile women are more likely to develop mental illnesses, marital dissatisfaction, and impaired quality of life compared to the individuals of fertile group [9, 11, 12].
According to WHO, quality of life is a concept used to describe development, growth, and well-being which reflects individuals’ perceptions of their position in the community as well as their goals, expectations, standards, and priorities [13, 14]. Attitudes toward women’s infertility are often influenced by ethnic and cultural groups [15]. In the eastern societies, the community mainly expects women to play a role as a mother. This will cause many psychosocial concerns if pregnancy does not occur for any reason [16]. Therefore, more studies are required among eastern societies to reveal the impact of social, cultural and individual factors on an infertile woman’s quality of life [17].
Studying the quality of life among infertile women alarms the health authorities and subsequently let them spend a great deal of effort to help the infertile couples in one way or another [5]. There are already a few studies on the quality of life among infertile women in Iran; although those are largely descriptive and just follow a cross-sectional method which lacks a comparison group to analyze the impact of infertility on different aspects of life [5, 18, 19]. Most of these studies have been conducted using SF-36, a quality of life assessment questionnaire which evaluates the physical aspects of life quality [18]. There are multiple ethnical groups living in the country which requires researchers to run further studies in different regions as well. This study basically aimed to investigate the effect of infertility on a woman’s quality of life among population of Lorestan, Iran.

Methods

Study population and sampling methods

They were selected by means of a combination of multistage stratified and cluster sampling methods from population of Lorestan, Iran. We came up with a total of nine clusters. Each cluster contributes to a town in Lorestan, Iran. Five clusters (towns) were randomly selected out of them by sampling with varying probabilities; so that the more densely populated town, the higher chance of being selected.
There were two strata in each city for infertile women: The first stratum consisted of women who were being cared in a gynecology hospital or an infertility clinic, for which a non-probability consecutive sampling method was used. That means the information of an infertile woman was collected consecutively until the number of cases and their information were completed. The second stratum consisted of women who have been visited in a gynecology office. A total of 2--4 offices were selected in each geographical area using systematic random sampling method. We utilized a non-probability consecutive sampling method in each gynecologist office.
The control group consisted of fertile women who were matched for age, educational levels, and the duration of marriage with cases. For each infertile woman, three fertile women who met the matching criteria and lived in the same area were selected. In order to find the control subjects the investigators went to the same city block the infertile women were selected from. Then for each infertile woman they previously selected for the purpose of the study, they matched three fertile ones through a consecutive non-probability method. Data were gathered by trained interviewers.
The inclusion criteria for both groups comprised of giving consent for participating in the study, residing in the Lorestan province, as well as having monogamy with husband, lack of a psychological problems or an experience of stressful event related to the issue of infertility during the past 3 months, and no current use of alcohol or drugs.
Infertility was defined as not being able to achieve pregnancy after 1 year of having regular, unprotected intercourse. The inclusion criteria for the control group included no development of pregnancy during the course of study and a minimum gap of at least 4 months between the last given birth and the beginning of the study. A number of 120 fertile women were estimated to be suitable for the case group, however, considering the design effect; we had to select 180 individuals in the end. Since we matched three control subjects for each case, a number of 540 women were selected for the control group. The sample size eventually came up to 720 individuals.
The questionnaire consisted of two parts. First part of the questionnaire included demographic and background information of the participants such as age, occupational status, educational levels of the couple, duration of marriage, residential property ownership, address of residence, income, fertility and the status of spouse’s employment. The second part of the questionnaire consisted of the WHOQOL-BREF general measurement of life quality [20]. The internal consistency coefficient (Cronbach’s alpha) was evaluated and reported as satisfactory for all the sub-scales of the questionnaire, except for the social relation subscales (physical health dimension: α = 0.75, mental health dimension = 0.74, social health dimension = 0.70, and environmental health dimension = 0.75). We did not try to use SF-36 quality of life questionnaire for the purpose of our study because it only measures health-related quality of life but social and environmental health components of life quality [20].

Statistical analysis

Frequency distribution tables, means, standard deviations and bar charts were used to describe the variables. Since individual-to-individual method of matching was used and the data was of a matched quadruplet type, the marginal model, and more specifically, the generalized estimating equations (GEE) method in parameter estimation was used for both univariate and multivariate data modeling. GEE is basically used to estimate the parameters of a generalized linear model with a possible unknown correlation between outcomes [21].
At first, the demographic and background variables between the fertile and infertile groups were compared through marginal model/GEE. In these GEE methods, a logit link function, along with exchangeable structure for covariance matrix was used. In each separate GEE, “Infertility status” was considered as dependent variable and a single demographic predictor was used as independent variable. We employed another marginal model/GEE to determine the relationship between quality of life scores and demographic variables. In these GEEs, an identity link function was deployed, and in each separate GEE, the quality of life score was considered as dependent variable while the only predictor was a single demographic variable.
The study was controlled for the effect of confounding factors. Since we aimed to investigate the impact of infertility on women quality of life, variables with a P-value of less than 0.25 in the aforementioned univariate approach were selected and entered into the multivariate model [22, 23]. Those demographic and background variables which were significantly associated with infertility and quality of life were considered as confounding variables.
For multivariate modeling, we utilized the identity link function along with an exchangeable structure for working correlation matrix in our GEE model. The quality of life scores and infertility status were considered as the dependent and independent variables, respectively. Confounding variables such as residential property ownership status, history of underlying diseases and consanguineous marriage were selected for the model. SPSS version 21 was used for data analyses with a significance level of 0.05.

Results

We selected 180 infertile women and 540 fertile women from different cities of Lorestan, Iran for the purpose of our study. The mean age of cases and controls came up to 33.19 ± 5.9 and 33.11 ± 4.9, respectively (Table 1). Primary infertility was recognized as the most common reason for inability to reproduce (91.1%). The most frequent methods of treatment were IVF (45.6%) and medical therapy (43.8%). A proportion of 70.6% of cases and 69.4% of the controls were a housewife (Table 1). The prevalence of underlying diseases was higher among infertile women (20%) than the fertile ones (10.4%) (P = 0.023). Table 2 compares the demographic variables of cases to each dimension of women’s quality of life in Lorestan, Iran.
Table 1
Demographic and background variables among fertile and infertile women
Variable
Value
Fertile group
Infertile group
P-value b
Frequency (Percentage)
Frequency (Percentage
Age rangea
< 35
339 (62.8)
113 (62.8)
>  0.999
≥35
201 (37.2)
61 (37.2)
Duration of Marriagea
<  10
258 (47.8)
86 (47.8)
>  0.999
≥ 10
282 (52.2)
94 (52.2)
Educational Levela
Illiterate or primary school
156 (28.9)
52 (28.9)
>  0.999
Junior high school to high school diploma
204 (37.8)
68 (37.8)
University
180 (33.3)
60 (33.3)
Occupational Status
Housewife
375 (69.4)
127 (70.6)
0.794
Employed
165 (30.6)
53 (29.4)
Husband’s Educational Level
Illiterate or primary school
205 (38.0)
73 (40.6)
0.814
Junior high school to high school diploma
152 (28.1)
49 (27.2)
University
183 (33.9)
58 (32.2)
Husband’s Occupation
Unemployed
40 (7.4)
19 (10.6)
0.603
White collar employee
126 (23.3)
38 (21.1)
Self-employed
296 (54.8)
99 (55.0)
Other
78 (14.4)
24 (13.3)
Residential Property Ownership Status
Rented or living with parents
143 (26.5)
59 (32.8)
0.119
Owned
397 (73.5)
121 (67.2)
Having Underlying Diseases
No
484 (89.6)
144 (80.0)
0.023
Yes
56 (10.4)
36 (20.0)
Consanguineous Marriage
No
352 (65.2)
106 (58.9)
0.208
Yes
188 (34.8)
74 (41.1)
Type of Infertility
Primary
164 (91.1)
Secondary
16 (8.9)
Cost of Treating Infertility
< US$ 1500
35 (19.4)
≥ US$ 1500
145 (80.6)
Type of Infertility Treatment
Drug therapy
79 (43.8)
Surgery
9 (5.0)
IVF
82 (45.6)
ICSI / IUI
10 (5.6)
a These variables were taken into consideration in matching the two groups
b In these variables, only the data from the infertile group were used to assess relationships
The GEE method with a logit link fuction was used. In each separate GEE, “Infertility status” was considered as the dependent variable and each single demographic predictor was used as an independent variable
Table 2
Background variables by different dimensions of life quality
Variable
Range
Physical Health Dimension
Mental Health Dimension
Environmental Health Dimension
Social Health Dimension
Total score of quality of life
± ӿ s.d
P-valuea
± ӿ s.d
P-valuea
± ӿ s.d
P-valuea
± ӿ s.d
P-valuea
± ӿ s.d
P-valuea
Age Range
<  35
50.0 ± 8.3
< 0.001
56. 2 ± 13.8
< 0.001
54.4 ± 9.9
0.315
33.8 ± 18.5
0.222
225.2 ± 27.9
0.509
≤35
47.6 ± 8.0
51.9 ± 14.9
53.8 ± 9.4
36.2 ± 19.1
226.3 ± 27.4
Duration of Marriage
> 10
50.8 ± 7.9
< 0.001
57.3 ± 13.3
< 0.001
54.6 ± 10.6
0.290
32.1 ± 18.4
< 0.001
223.6 ± 29.0
0.031
≤10
47.6 ± 8.3
52.1 ± 14.8
53.8 ± 8.8
37.1 ± 18.8
227.5 ± 26.5
Educational Level
Illiterate or primary school
46.8 ± 8.8
< 0.001
49.5 ± 14.3
< 0.001
52.3 ± 9.1
0.001
40.0 ± 18.8
< 0.001
228.5 ± 27.0
0.181
Junior high school to high school diploid
48.8 ± 7.3
54.3 ± 13.5
53.5 ± 9.1
34.7 ± 18.9
225.3 ± 27.4
University
51.5 ± 8.3
59.3 ± 13.7
56.5 ± 10.4
30.2 ± 17.5
223.4 ± 28.6
Occupational Status
Housewife
48.6 ± 8.4
0.014
52.9 ± 14.2
< 0.001
52.9 ± 9.4
< 0.001
36.4 ± 18.9
< 0.001
226.1 ± 28.1
0.334
Employed
50.3 ± 7.8
58.6 ± 13.8
57.1 ± 9.8
30.7 ± 19.7
230.7 ± 28.4
Husbands’ Educational Level
Illiterate or primary school
46.9 ± 8.4
0.001
50.0 ± 13.7
< 0.001
52.9 ± 9.1
< 0.001
40.6 ± 19.0
< 0.001
230.9 ± 28.8
< 0.001
Junior high school to high school diploma
49.2 ± 7.7
54.8 ± 13.9
52.8 ± 9.0
32.3 ± 18.1
220.3 ± 24.7
University
51.6 ± 7.9
59.7 ± 13.6
56.8 ± 10.3
30.1 ± 17.4
223.8 ± 27.9
Residential Property Ownership Status
Rented or Living with parents
48.1 ± 7.4
0.055
52.0 ± 13.1
0.002
51.8 ± 9.8
< 0.001
38.2 ± 18.3
0.024
225.9 ± 27.6
0.559
Personally owned
49.7 ± 8.1
55.6 ± 14.7
55.1 ± 9.5
33.4 ± 18.8
226.5 ± 27.4
Underlying Diseases
No
49.5 ± 6
< 0.001
55.9 ± 13.9
< 0.001
54.2 ± 9.7
0.850
33.3 ± 18.2
0.006
223.7 ± 27.5
< 0.001
Yes
45.1 ± 8.4
45.8 ± 14.3
54.0 ± 9.3
44.7 ± 19.5
238.7 ± 25.6
Consanguineous Marriage
No
49.4 ± 8.1
0.158
55.6 ± 13.9
0.035
54.2 ± 9.3
0.799
34.0 ± 17.5
0.089
225.3 ± 25.8
0.587
Yes
48.6 ± 8.5
52.8 ± 14.9
54.2 ± 10.3
36.0 ± 20.9
226.2 ± 30.9
Infertility Status
Fertile
50.2 ± 8.1
< 0.001
58.8 ± 12.0
< 0.001
54.3 ± 9.4
0.560
29.5 ± 15.7
< 0.001
219.9 ± 24.3
< 0.001
Infertile
46.1 ± 8.1
41.9 ± 13.3
53.7 ± 10.4
50.6 ± 18.4
242.7 ± 30.4
Type of Infertility b
Primary
46.1 ± 8.1
0.771
42.0 ± 13.5
0.554
53.8 ± 10.4
0.723
50.7 ± 18.0
0.845
234.0 ± 30.4
0.601
Secondary
45.3 ± 7.6
40.1 ± 11.1
53.5 ± 10.6
49.5 ± 22.5
239.2 ± 31.2
Costs of infertility treatment b
< US$ 1500
45.8 ± 6.0
0.820
47.0 ± 12.1
0.023
54.9 ± 11.3
0.401
44.3 ± 11.6
0.025
235.3 ± 24.4
0.128
≥ US$ 1500
46.1 ± 8.4
40.6 ± 13.3
53.4 ± 10.2
52.1 ± 18.1
244.4 ± 31.5
Type of Infertility Treatment b
Medications only
46.8 ± 7.7
0.560
47.9 ± 12.2
< 0.001
55.5 ± 10.3
0.019
44.8 ± 18.4
0.005
238.9 ± 27.2
0.194
Medications and surgery
47.2 ± 10.2
40.3 ± 14.3
45.5 ± 7.7
51.9 ± 13.0
233.4 ± 30.7
IVF
45.4 ± 7.8
37.7 ± 12.2
53.2 ± 9.8
55.7 ± 17.4
248.5 ± 30.9
IUI / ICSI
45.0 ± 10.4
29.6 ± 8.2
51.9 ± 13.8
52.5 ± 20.1
232.7 ± 43.1
The GEE method with identity link fuction was deployed. In each separate GEE, quality of life scores was considered as dependent variable and each single demographic predictor was used as an independent variable
a These variables were taken into consideration in matching the two groups
b In these variables, only the data from the infertile group were used to assess relationships
Among infertile women, 52% of those who obtained a score of ≥70 on social dimension of quality of life were illiterate or had an educational level as of primary school. A proportion of 93% of infertile women were a housewife. Among infertile women, 67% of husbands were illiterate and 22% were unemployed. There was a significant difference between the mean scores of mental health in consanguineous and non-consanguineous married women (P = 0.01). The mean scores of both mental health and social health dimensions showed significant relationship with cost of treatment for infertility (P = 0.023) and (P = 0.025), respectively. There were also significant differences between the mean scores of mental, social, as well as environmental health dimensions and the method of treatment for infertility (P = < 0.001), (P = 0.005) and (P = 0.019), respectively (Table 2).
The results of the study showed that there is a significant statistical relationship between some of the independent variables and physical dimension of quality of life. For example; people aged 35 years or younger, those who had married for less than 10 years, women with an university educational level, individuals with no history of underlying diseases, as well as fertile and employed women had a higher score of physical dimension of life quality compared to the individuals of other categories (p <  0.05).
In addition, women younger than 35 years of age, those with an university educational level, individuals who were employed, people with no history of underlying diseases, women with an educated spouse, those with low costs of treatment for infertility, women who owned a house, as well as women with less than 10 years of marital life, those with no family marriage, fertile women, and infertile women under medical therapy only all had a higher average score of mental health dimension of quality of life compared to the individuals of the other subgroups (p < 0.05).
Likewise, people who owned a house, those with an university educational level, women whose spouses had university education, employed women and infertile women under medical therapy only experienced a higher environmental health dimension of quality of life compared to the people of other categories (p < 0.05 for all). In addition, women with a marital relationship of over 10 years, undereducated or early school-age women, those whose spouses were not educated or just had elementary education, housewives, women living in permissive or paternal homes, infertile women, women with underlying illnesses, infertile women who suffered from a treatment cost of more than $ 1500 per month, and infertile women who received IVF treatment had a higher social dimension of quality of life score compared to the women of other categories (P < 0.05). Likewise, women with a marital relationship of more than 10 years, women whose spouses were undereducated or had elementary education, women with underlying diseases, and infertile women had a higher overall score of quality of life compared to the other categories (P < 0.05) (Table 2, Fig. 1).
Table 3 demonstrates the multivariate modeling for the impact of infertility on various aspects of women’s quality of life using the GEE method. Based on GEE 1 and 2 models which were analyzed both with and without adjustment for confounding variables, the effect of infertility on physical health dimension of life quality was significant (P < 0.001). After adjusting for confounding variables, the mean score of the physical dimension of quality of life among infertile women was 3.6 units lower than that of the fertile ones. Likewise, the effect of infertility on mental health dimension of quality of life was significant (P < 0.001). After controlling for confounding variables, the mean score of mental health dimension of life quality among infertile women was about 16.0 units less than that of the fertile ones.
Table 3
Multivariate modeling of the impact of infertility over different dimensions of life quality using GEE method
Variable
Model
Category
Estimated Regression Coefficient
Std. error
95% Confidence Interval
P-Value
Physical Health
Model 1a
Fertile
Referent
   
Infertile
−4.08
0.683
−5.418, −2.743
< 0.001
Model 2b
Fertile
Referent
   
Infertile
−3.57
0.699
−4.941, −2.201
< 0.001
Mental Health
Model 1a
Fertile
Referent
   
Infertile
−16.96
1.037
−18.992, −14.928
<  0.001
Model 2b
Fertile
Referent
   
Infertile
−15.95
1.043
−17.990, −13.903
< 0.001
Environmental Health
Model 1a
Fertile
Referent
   
Infertile
−0.60
0.838
−2.238, 1.046
0.477
Model 2b
Fertile
Referent
   
Infertile
−0.39
0.837
−2.032, 1.249
0.460
Social Health
Model 1a
Fertile
Referent
   
Infertile
21.10
1.479
18.198, 23.994
< 0.001
Model 2b
Fertile
Referent
   
Infertile
19.99
1.487
17.074, 22.903
< 0.001
The Total Score of Quality of Life
Model 1a
Fertile
Referent
   
Infertile
22.75
2.653
17.546, 27.946
< 0.001
Model 2b
Fertile
Referent
   
Infertile
21.63
2.681
16.373, 26.881
< 0.001
a Not adjusted for confounding variables
b Adjusted for confounding variables
According to both GEE 1 and 2 models, the effects of infertility on the environmental dimension of life quality was insignificant (P = 0.477) and (P = 0.460), respectively. However, the impact of infertility on the social dimension of quality of life was found to be statistically significant (P < 0.001). After adjusting for confounding variables, the mean score of the social dimension of life quality among infertile women was 20.0 units more than that of the fertile ones. Finally, the effect of infertility on the total score of life quality was statistically significant (P < 0.001). After controlling for confounding variables, the mean score of life quality was 21.6 units more than that of fertile ones (Table 3).

Discussion

The results of the current study showed an infertile woman experiences a relatively low quality of life by several dimensions in Iran. A few modalities of life quality such as physical, mental, and environmental health subscales scored lower among infertile Iranian woman than that of the fertile ones. Our research supports the findings of previous studies on this cause and effect relationship [2426]. The social health dimension of life quality among infertile women however attained a higher score than that of the control group. This might have caused a large overall score of quality of life among infertile women.
According to the studies, Iranian women generally experience only an average overall health-related quality of life [2729]. Nejat et al. was able to show that the mean score of Iranian women’s quality of life levels lower than that of other nation’s population of women in almost all sub-scales. The difference looked remarkable especially when physical and mental components of health came into the account [30]. Likewise, a study by Mirghafourvand showed a lower overall quality of life score among Iranian women than that of the Brazilian ones [27]. There are however studies that oppose the above findings which believe health-related quality of life among Iranian women scores higher than that of Turkish and Canadian ones [31, 32]. The difference in the results of the Iranian’s studies might be due to the diversity in socio-economic contexts, characteristics of the participants, sampling methods or a combination of all [27]. Likewise, use of different scales in these studies can cause difficulties comparing findings [33].
The findings of social health dimension in our study caused a significant difference in the overall score of the quality of life between groups. We found infertile women to have a higher social health score compared to the control group. This contradicts the results of previous studies [11, 19]; and might be due to the achieved score of ≥70 among 16% of infertile women. Likewise, the level of education and occupational status of women and their spouses did not match the distribution of education and occupation of the population. In this subgroup, a woman with a relatively low educational level played the role of a housewife, while she did not own a house; she enjoyed a greater social health. This might be due to the fact that an infertile woman receives more social support due to different reasons such as personal or familial relationships. In fact, an excellent social support can improve the physical and mental health; thus, it provides a relatively high social well-being and quality of life [34, 35].
The educational levels of couples and the occupational status of women predicted the quality of life in our study. According to the results, the educational status of a couple, women’s employment circumstances, and the status of ownership of a residential property affected a few dimensions of quality of life such as physical, mental, environmental and social health. As such, a couple with high educational level, an employed woman, and a homeowner enjoyed a better physical, mental, and environmental health. The results of few studies also indicate high educational level is associated with a high quality of life [3639]. Therefore, low level of education can be linked to an increased probability of poverty, as well as a relatively low level of health, undesirable health behaviors, and an increased risk of mortality [27].
The results of the present study showed age range can affect the physical and mental health. Physical and mental health of the women younger than 35 was found to be significantly better than that of the women of older age groups. This is because a young woman has fewer physical and medical issues, more energy and ability to work, and higher self-esteem than an older one. A few studies have demonstrated a woman younger than 30 years of age experiences a better quality of life than an older woman [25, 33, 40]. A study of mental, environmental, and social health of women have brought up supportive results [41].
Duration of marriage can also affect the various dimensions of quality of life. Based on the findings, a woman experienced a relatively high physical, mental, and environmental quality of life within the first 10 years of marriage. Rostami et al. reported a woman in her first or second decade of marriage, while she is older; she is less satisfied with her marriage compared to a younger woman. This might be due to a negative assessment of physical appearance which adversely affects marital satisfaction. Therefore, it reduces a woman’s quality of life [34, 42, 43].
According to the present studies, having underlying illnesses can affect the various dimensions of life quality. As such, a woman with no underlying illnesses has a better physical, mental, and environmental health scores compared to an ill woman [24, 44, 45]. Proulex et al. was able to show that overall health had a significant relationship with almost all dimensions of quality of life [46]. Likewise, Maroufzadeh et al. showed infertile couples are more likely to have underlying illnesses such as anxiety (49.6%) and depression (33%) [12]. In fact, chronic diseases such as depression, diabetes, different types of cancer, etc., adversely affect those aspects of a woman’s quality of life which are related to overall health; thus, managing the above conditions may lead to a relatively better quality of life [27].
Our study has many strong points and we are perfectly confident in the validity of the results. The fact that it was a case–control study within cohort of Lorestan, Iran, enabled us to minimize the risk of selection bias. In addition, the design of the study allowed us to examine the link between infertility and quality of life from all socioeconomic classes. We were also able to examine a large number of variables as likely predictors of quality of life following failure to reproduction. Nonetheless, our study has a limitation as well. The fact that it is a non-longitudinal case-control study; we have had difficulty controlling it for some confounding variables. Therefore, prospective longitudinal studies are recommended for future studies on this link.

Conclusion

Mental, physical, and environmental health components of quality of life may be adversely affected among infertile women, although the social health subscale may not. Other modalities such as educational attainment, employment, house ownership, and major illnesses also influence the quality of life. Given the fact that the quality of life among women of reproductive age affects the long-term health of each family member, health policy makers, family counselors, and psychologists are required to pay special attention to physical, mental, and environmental health dimensions of a woman’s life which adversely affects her quality of life.

Acknowledgements

The researchers would like to express their gratitude to the participants and the staff of the health centers of Lorestan, Iran.
The study was approved by the Ethics Committee of the Lorestan University of Medical Sciences with the code number of lums.REC.1395.81. The participants were informed about the study goals. A consent form was completed by each one before enrolment in the study. I order to let participants more comfortable a female administrator interviewed them and the collected information was kept confidential.
Not applicable

Competing interests

All authors have read and approved the content of the article. The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Khodakarami N, Hashemi S, Sedigh S, Hamidi M, Taheripanah R. The experience of living with infertility: a phenomenological study. The fertility and infertility quarterly. Winder. 2009;10(4):287–97. Khodakarami N, Hashemi S, Sedigh S, Hamidi M, Taheripanah R. The experience of living with infertility: a phenomenological study. The fertility and infertility quarterly. Winder. 2009;10(4):287–97.
4.
Zurück zum Zitat Inhorn MC, Patrizio P. Infertility around the globe: new thinking on gender, reproductive technologies and global movements in the 21st century. Jhum Reprod Update. 2015;21(4):411–26.CrossRef Inhorn MC, Patrizio P. Infertility around the globe: new thinking on gender, reproductive technologies and global movements in the 21st century. Jhum Reprod Update. 2015;21(4):411–26.CrossRef
5.
Zurück zum Zitat Faal Kalhkouran L, Bahrami H, Farokhi NA, Zeraati H, Tarahomi M. The comparison of depressive anxiety between two groups selected from fertile and infertile women of Tehran, Iran. Fertility and Infertility Quarterly Spring. 2011;12(158):162–3. Faal Kalhkouran L, Bahrami H, Farokhi NA, Zeraati H, Tarahomi M. The comparison of depressive anxiety between two groups selected from fertile and infertile women of Tehran, Iran. Fertility and Infertility Quarterly Spring. 2011;12(158):162–3.
6.
Zurück zum Zitat Dural O, Yasa C, Keyif B, Celiksoy H, Demiral I, Ozgor BY. Effect of infertility on quality of life of women: a validation study of the Turkish FertiQoL. Jhuman Fertility. 2016;19(3):186–91.CrossRef Dural O, Yasa C, Keyif B, Celiksoy H, Demiral I, Ozgor BY. Effect of infertility on quality of life of women: a validation study of the Turkish FertiQoL. Jhuman Fertility. 2016;19(3):186–91.CrossRef
7.
Zurück zum Zitat Cousineau TM, Domar AD. Psychological impact of infertility. Best Pract Res Clin Obstet Gynecol. 2007;21(2):293308.CrossRef Cousineau TM, Domar AD. Psychological impact of infertility. Best Pract Res Clin Obstet Gynecol. 2007;21(2):293308.CrossRef
8.
Zurück zum Zitat Kamel Remah M. Management of the infertile couple: an evidence-based protocol. J Reprod Biol Endocrinol. 2010;8(1):301–6. Kamel Remah M. Management of the infertile couple: an evidence-based protocol. J Reprod Biol Endocrinol. 2010;8(1):301–6.
9.
Zurück zum Zitat van Balen F, Bos HM. The social and cultural consequences of being childless in poor-resource areas. Facts Views Vis Obgyn. 2009;1(2):106–21.PubMedPubMedCentral van Balen F, Bos HM. The social and cultural consequences of being childless in poor-resource areas. Facts Views Vis Obgyn. 2009;1(2):106–21.PubMedPubMedCentral
10.
Zurück zum Zitat Obi SN, Onah HE, Okafor II. Depression among Nigerian women following pregnancy loss. Int J Gynecol Obstet. 2009;105(1):602.CrossRef Obi SN, Onah HE, Okafor II. Depression among Nigerian women following pregnancy loss. Int J Gynecol Obstet. 2009;105(1):602.CrossRef
11.
Zurück zum Zitat Farrokh Eslamlou HR, Haji Shafiha M, et al. The effect of primary infertility on the quality of life of women of Oroumieh, Iran. Oroumieh Med J. 2014;25(598):604–7. Farrokh Eslamlou HR, Haji Shafiha M, et al. The effect of primary infertility on the quality of life of women of Oroumieh, Iran. Oroumieh Med J. 2014;25(598):604–7.
12.
Zurück zum Zitat Maroufizadeh S, Karimi E, Vesali S, Omani SR. Anxiety and depression after failure of assisted reproductive treatment among patients experiencing infertility. Int J Gynaecol Obstet. 2015;130(3):253–6.CrossRef Maroufizadeh S, Karimi E, Vesali S, Omani SR. Anxiety and depression after failure of assisted reproductive treatment among patients experiencing infertility. Int J Gynaecol Obstet. 2015;130(3):253–6.CrossRef
13.
Zurück zum Zitat Maroufizadeh S, Ghaheri A. Amini, and Omani Samani.Psychometric properties of the fertility quality of life instrument in infertile Iranian women. Int J Fertil Steril. 2017;10(4):371–9.PubMed Maroufizadeh S, Ghaheri A. Amini, and Omani Samani.Psychometric properties of the fertility quality of life instrument in infertile Iranian women. Int J Fertil Steril. 2017;10(4):371–9.PubMed
14.
Zurück zum Zitat Bonomi AE, Patrick DL, Bushnell DM, Martin M. Validation of the United States’ version of the world health organization quality of life (WHOQOL) instrument. J Clin Epidemiol. 2000;53:1–12.CrossRef Bonomi AE, Patrick DL, Bushnell DM, Martin M. Validation of the United States’ version of the world health organization quality of life (WHOQOL) instrument. J Clin Epidemiol. 2000;53:1–12.CrossRef
15.
Zurück zum Zitat Aliyeh G, Laya F. Quality of life and its correlates among a group of infertile Iranian women. Med Sci Monit. 2007;13(7):313–7. Aliyeh G, Laya F. Quality of life and its correlates among a group of infertile Iranian women. Med Sci Monit. 2007;13(7):313–7.
16.
Zurück zum Zitat Choobfroushzadeh A, Kalantai M, Molavi H. The efficacy of stress management using the cognitive behavioral approach on the quality of life infertile women. Psychology Quarterly. 2013;4:1–9. Choobfroushzadeh A, Kalantai M, Molavi H. The efficacy of stress management using the cognitive behavioral approach on the quality of life infertile women. Psychology Quarterly. 2013;4:1–9.
17.
Zurück zum Zitat Daniluk JC. Keeping your Sexlife alive while Coping with Infertility. J Sex Marital Ther. 2002;71(6):1241–3. Daniluk JC. Keeping your Sexlife alive while Coping with Infertility. J Sex Marital Ther. 2002;71(6):1241–3.
18.
Zurück zum Zitat Alaami M, Amanati SS, Hagani H, Ramazanzade F. Factors influencing quality of life among infertility women. IJN. 2009;21(56):27–35. Alaami M, Amanati SS, Hagani H, Ramazanzade F. Factors influencing quality of life among infertility women. IJN. 2009;21(56):27–35.
19.
Zurück zum Zitat Nilforooshan P, Latifi Z, Abedi MR, Ahmadi SA. Quality of life and its different domains in fertile and infertile women. J Res Behav Sci. 2006;4(12):70–7. Nilforooshan P, Latifi Z, Abedi MR, Ahmadi SA. Quality of life and its different domains in fertile and infertile women. J Res Behav Sci. 2006;4(12):70–7.
20.
Zurück zum Zitat Nejat SN, Montazeri A, Holakhouei Naeini K, Mohammad K, Majdzadeh SR. The World Health Organization Quality of Life (WHOQOLBREF) questionnaire: translation and validation study of the Iranian version. J Sch Public Health Inst Public Health. 2007;4(4):112. Nejat SN, Montazeri A, Holakhouei Naeini K, Mohammad K, Majdzadeh SR. The World Health Organization Quality of Life (WHOQOLBREF) questionnaire: translation and validation study of the Iranian version. J Sch Public Health Inst Public Health. 2007;4(4):112.
21.
Zurück zum Zitat Liang KY, Zeger S. Longitudinl data analysis using generalized linear models. Biometrica. 1986;73(1):13–22.CrossRef Liang KY, Zeger S. Longitudinl data analysis using generalized linear models. Biometrica. 1986;73(1):13–22.CrossRef
22.
Zurück zum Zitat Bendal RB, Afifi AA. Comparison of stopping rules in forward regression. J Am Stat Assoc. 1977;72:46–53. Bendal RB, Afifi AA. Comparison of stopping rules in forward regression. J Am Stat Assoc. 1977;72:46–53.
23.
Zurück zum Zitat Mickey RM, Greenland S. The impact of confounder selection criteria on effect estimation. Am J Epidemiol. 1989;129:125–37.CrossRef Mickey RM, Greenland S. The impact of confounder selection criteria on effect estimation. Am J Epidemiol. 1989;129:125–37.CrossRef
24.
Zurück zum Zitat Keramat A, Masoomi SZ, Mousavi SA, Poorolajal J, Shobeiri F, Hazavhei SM. Quality of life and its related factors in infertile couples. J Res Health Sci. 2013;14(1):57–64. Keramat A, Masoomi SZ, Mousavi SA, Poorolajal J, Shobeiri F, Hazavhei SM. Quality of life and its related factors in infertile couples. J Res Health Sci. 2013;14(1):57–64.
25.
Zurück zum Zitat Rashidi B, Montazeri A, Ramezanzadeh F, Shariat M, Abedinia N, Ashrafi M. Health-related quality of life in infertile couples receiving IVF or ICSI treatment. BMC Health Serv Res. 2008;8:186.CrossRef Rashidi B, Montazeri A, Ramezanzadeh F, Shariat M, Abedinia N, Ashrafi M. Health-related quality of life in infertile couples receiving IVF or ICSI treatment. BMC Health Serv Res. 2008;8:186.CrossRef
26.
Zurück zum Zitat Martins MV, Peterson BD, Almeida VM, Costa ME. Direct and indirect effects of perceived social support on women’s infertility-related stress. Hum Reprod. 2011;26(8):2113–21.CrossRef Martins MV, Peterson BD, Almeida VM, Costa ME. Direct and indirect effects of perceived social support on women’s infertility-related stress. Hum Reprod. 2011;26(8):2113–21.CrossRef
27.
Zurück zum Zitat Mirghafourvand M, Mohammad-Alizadeh Charandabi S, Asghari Jafarabadi M, Tavananezhad N, Karkhane M. Predictors of health-related quality of life in Iranian women of reproductive age. Appl Res Qual Life. 2016;11(3):723–37.CrossRef Mirghafourvand M, Mohammad-Alizadeh Charandabi S, Asghari Jafarabadi M, Tavananezhad N, Karkhane M. Predictors of health-related quality of life in Iranian women of reproductive age. Appl Res Qual Life. 2016;11(3):723–37.CrossRef
28.
Zurück zum Zitat Asadian A, Aghamolaei T, Zare F, Khodarahmi M, Ghanbarnejad A, Zainali M, Ashough M. Quality of life in pregnant women in Bandar Abbas, South Iran. J Biol Today’s World. 2014;3(8):180–4. Asadian A, Aghamolaei T, Zare F, Khodarahmi M, Ghanbarnejad A, Zainali M, Ashough M. Quality of life in pregnant women in Bandar Abbas, South Iran. J Biol Today’s World. 2014;3(8):180–4.
29.
Zurück zum Zitat Fallahzadeh H, Mirzaei H. Health-related quality of life and associated factors among Iranian university students. J Commun Health Res. 2012;1(2):122–30. Fallahzadeh H, Mirzaei H. Health-related quality of life and associated factors among Iranian university students. J Commun Health Res. 2012;1(2):122–30.
30.
Zurück zum Zitat Nejat S, Montazeri A, Holakouie K, Mohammad K, Majdzadeh R. Quality of Life of Tehran's Population by WHOQOL-BREF questionnaire in 2005. Hakim Res J. 2007;10(3):1–8. Nejat S, Montazeri A, Holakouie K, Mohammad K, Majdzadeh R. Quality of Life of Tehran's Population by WHOQOL-BREF questionnaire in 2005. Hakim Res J. 2007;10(3):1–8.
31.
Zurück zum Zitat Paksoy Erbaydar N, Bilir N, Hilal Özcebe L, Vaizoğlu S, Aslan D. Evaluation of health-related quality of life of women living in a city center in the east of Turkey. Turkish J Med Sci. 2011;41(2):307–16. Paksoy Erbaydar N, Bilir N, Hilal Özcebe L, Vaizoğlu S, Aslan D. Evaluation of health-related quality of life of women living in a city center in the east of Turkey. Turkish J Med Sci. 2011;41(2):307–16.
32.
Zurück zum Zitat Hopman WM, Berger C, Joseph L, Towheed T, Prior JC, Anastassiades T, Poliquin S, Zhou W, Adachi JD, Hanley DA, Papadimitropoulos EA, Tenenhouse A, CaMos Research Group. Health-related quality of life I n Canadian adolescents and young adults: normative data using the SF-36. Can J Public Health. 2009;100(6):449–52.PubMedPubMedCentral Hopman WM, Berger C, Joseph L, Towheed T, Prior JC, Anastassiades T, Poliquin S, Zhou W, Adachi JD, Hanley DA, Papadimitropoulos EA, Tenenhouse A, CaMos Research Group. Health-related quality of life I n Canadian adolescents and young adults: normative data using the SF-36. Can J Public Health. 2009;100(6):449–52.PubMedPubMedCentral
33.
Zurück zum Zitat Rezaei N, Azadi A, Zargousi R, Sadoughi Z, Tavalaee Z, Rezayati M. Maternal health-related quality of life and its predicting factors in the postpartum period in Iran. J Scientifica. 2016;2016:8542147. Rezaei N, Azadi A, Zargousi R, Sadoughi Z, Tavalaee Z, Rezayati M. Maternal health-related quality of life and its predicting factors in the postpartum period in Iran. J Scientifica. 2016;2016:8542147.
34.
Zurück zum Zitat Rostami A, Ghazinour L, Nygren L, Nojumi M, Richter J. Health-related Quality of Life, Marital Satisfaction, and Social Support in Medical Staff in Iran. Appl Res Qual Life. 2013;8(3):385–402.CrossRef Rostami A, Ghazinour L, Nygren L, Nojumi M, Richter J. Health-related Quality of Life, Marital Satisfaction, and Social Support in Medical Staff in Iran. Appl Res Qual Life. 2013;8(3):385–402.CrossRef
35.
Zurück zum Zitat Dancet EA, Nelen WL, Sermeus W, De Leeuw L, Kremer JA, D'Hooghe TM. The patients' perspective on fertility care: a systematic review. Hum Reprod Update. 2010;16(5):467–87.CrossRef Dancet EA, Nelen WL, Sermeus W, De Leeuw L, Kremer JA, D'Hooghe TM. The patients' perspective on fertility care: a systematic review. Hum Reprod Update. 2010;16(5):467–87.CrossRef
36.
Zurück zum Zitat Wang P, Liou SR, Cheng CY. Prediction of maternal quality of life on preterm birth and low birthweight: a longitudinal study. BMC Pregnancy and Childbirth. 2013;13:124.CrossRef Wang P, Liou SR, Cheng CY. Prediction of maternal quality of life on preterm birth and low birthweight: a longitudinal study. BMC Pregnancy and Childbirth. 2013;13:124.CrossRef
37.
Zurück zum Zitat Ibrahim MAH, Taher AER, Ahmed YS. Primary infertility and health related quality of life upper Egypt. Int J Gynaecol Obstet. 2010;110(2):118–21.CrossRef Ibrahim MAH, Taher AER, Ahmed YS. Primary infertility and health related quality of life upper Egypt. Int J Gynaecol Obstet. 2010;110(2):118–21.CrossRef
38.
Zurück zum Zitat Chachamovich JR, Chachamovich E, Ezer H, Fleck MP, Knauth D, Passos EP. Investigating quality of life and health-related quality of life in infertility: a systematic review. J Psychosom Obstet Gynaecol. 2010;31(2):101–10.CrossRef Chachamovich JR, Chachamovich E, Ezer H, Fleck MP, Knauth D, Passos EP. Investigating quality of life and health-related quality of life in infertility: a systematic review. J Psychosom Obstet Gynaecol. 2010;31(2):101–10.CrossRef
39.
Zurück zum Zitat Bahrami N, Karimian Z, Bahrami S, Bolbolhaghighi N. Comparing the postpartum quality of life between six to eight weeks and twelve to fourteen weeks after delivery in Iran. Iran Red Crescent Med J. 2014;16(7):1–5.CrossRef Bahrami N, Karimian Z, Bahrami S, Bolbolhaghighi N. Comparing the postpartum quality of life between six to eight weeks and twelve to fourteen weeks after delivery in Iran. Iran Red Crescent Med J. 2014;16(7):1–5.CrossRef
40.
Zurück zum Zitat Keshavarzi S, Ayatollahi SMT, Zare N, Sharif F. Quality of life of childbearing age women and its associated factors: an application of seemingly unrelated regression (SUR) models. Qual Life Res. 2013;22(6):1255–63.CrossRef Keshavarzi S, Ayatollahi SMT, Zare N, Sharif F. Quality of life of childbearing age women and its associated factors: an application of seemingly unrelated regression (SUR) models. Qual Life Res. 2013;22(6):1255–63.CrossRef
41.
Zurück zum Zitat Rimaz SH, Dastoorpoor M, Vesali S, Saiepour N, Beigi Z, Nedjat S. The Survey of Quality of Life and its Related Factors in Female –headed Households Supported by Tehran Municipality,Ddistrict 9. Iran J Epidemiol. 2014;10(2):48–55. Rimaz SH, Dastoorpoor M, Vesali S, Saiepour N, Beigi Z, Nedjat S. The Survey of Quality of Life and its Related Factors in Female –headed Households Supported by Tehran Municipality,Ddistrict 9. Iran J Epidemiol. 2014;10(2):48–55.
42.
Zurück zum Zitat Pujols Y, Meston CM, Seal BN. The association between sexual satisfaction and body image in women. J Sex Med. 2010;7(2pt2):905–16.CrossRef Pujols Y, Meston CM, Seal BN. The association between sexual satisfaction and body image in women. J Sex Med. 2010;7(2pt2):905–16.CrossRef
43.
Zurück zum Zitat Meltzer AL, McNulty JK. Body image and marital satisfaction: evidence for the mediating role of sexual frequency and sexual satisfaction. J Fam Psychol. 2010;24(2):156–64.CrossRef Meltzer AL, McNulty JK. Body image and marital satisfaction: evidence for the mediating role of sexual frequency and sexual satisfaction. J Fam Psychol. 2010;24(2):156–64.CrossRef
44.
Zurück zum Zitat Lau JT, Wang Q, Cheng Y, Kim JH, Yang X, Tsui HY. Infertility-related perceptions and responses and their associations with quality of life among rural Chinese infertile couples. J Sex Marital Ther. 2008;34(3):248–67.CrossRef Lau JT, Wang Q, Cheng Y, Kim JH, Yang X, Tsui HY. Infertility-related perceptions and responses and their associations with quality of life among rural Chinese infertile couples. J Sex Marital Ther. 2008;34(3):248–67.CrossRef
45.
Zurück zum Zitat Martins MV, Peterson BD, Costa ME, Lund R, Schmid TL. Infertility disclosure moderates the relationship between social support and fertility stress in patients following unsuccessful treatments. Hum Reprod. 2012;27(Suppl 2):ii98–ii100.CrossRef Martins MV, Peterson BD, Costa ME, Lund R, Schmid TL. Infertility disclosure moderates the relationship between social support and fertility stress in patients following unsuccessful treatments. Hum Reprod. 2012;27(Suppl 2):ii98–ii100.CrossRef
46.
Zurück zum Zitat Proulx CM, Helms HM, Buehler C. Marital quality and personal well-being: a meta-analysis. J Marriage Fam. 2007;69(3):576–93.CrossRef Proulx CM, Helms HM, Buehler C. Marital quality and personal well-being: a meta-analysis. J Marriage Fam. 2007;69(3):576–93.CrossRef
Metadaten
Titel
An investigation of the effects of infertility on Women’s quality of life: a case-control study
verfasst von
Katayoun Bakhtiyar
Ramin Beiranvand
Arash Ardalan
Farahnaz Changaee
Mohammad Almasian
Afsaneh Badrizadeh
Fatemeh Bastami
Farzad Ebrahimzadeh
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
BMC Women's Health / Ausgabe 1/2019
Elektronische ISSN: 1472-6874
DOI
https://doi.org/10.1186/s12905-019-0805-3

Weitere Artikel der Ausgabe 1/2019

BMC Women's Health 1/2019 Zur Ausgabe

Update Gynäkologie

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