Document Type : Original Article
Department of Epidemiology and Reproductive Health, Reproductive Epidemiology Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
Infertility is a global public health issue that affects approximately 10-15% of reproductive-aged couples worldwide (1). It reduces quality of life (QoL), especially through negative psychosocial and cultural consequences. Often-cited repercussions of infertility are depression, anxiety, social isolation and deprivation, marital instability, loss of self-esteem and self-confidence, loss of gender identity, loss of control, and feeling of self-blame and guilt (2-4). Growing bodies of research have shown that infertility and its treatments have a significant negative impact on a person’s QoL (5-10). Due to this impact, assessing QoL in infertile patients, especially for women is important (7).
The World Health Organization (WHO) has defined QoL as ‘an individual's perception of their position in life in the context of the culture and value systems in which they live and in relation to their goals, expectations, standards and concerns’ (11). QoL can be assessed by both generic and disease-specific tools (12). Previously, various generic self-reported instruments have been used to assess QoL in infertile patients (13, 14). Recently, an international group of experts in several countries and from various professions developed the Fertility QoL (FertiQoL) tool, which is disease-specific and assesses QoL in men and women that suffer from infertility (15).
The FertiQoL tool consists of two modules: Core FertiQoL and Treatment FertiQoL. The Core FertiQoL module assesses the impact of infertility in diverse life areas such as general health, self-esteem, emotions, partnership, family and social relationships, work life, and future life plans. The optional Treatment FertiQoL module assesses the burden or tolerability of fertility treatment. The FertiQoL has been used in various cultures and populations, and has been translated into 26 languages. However, few studies examined the psychometric properties of the FertiQoL. Initial psychometric properties of the FertiQoL were evaluated by Boivin et al. (15) in the USA, Australia/New Zealand, Canada and the UK. Their study demonstrated acceptable validity and reliability. In another study, reliability and convergent validity of the Dutch version of the FertiQoL were evaluated in infertile women. The Dutch version of the FertiQoL showed satisfactory internal consistency and had a negative correlation with anxiety and depression, which indicated acceptable convergent validity (16). In the Portuguese population, the results of confirmatory factor analysis (CFA) showed a good fit to the original measurement model and all FertiQoL domains were reliable (Cronbach’s alpha: 0.72 to 0.90) (17).
To the best of our knowledge, no studies evaluated the psychometric properties of the Persian version of the FertiQoL. Therefore, the present study aimed to examine the reliability and validity of the FertiQoL in infertile Iranian women.
Materials and Methods Patients
We conducted this cross-sectional study at Royan Institute, Tehran, Iran from January 2014 to March 2014. The Infertility Clinic of Royan Institute is a referral infertility center which provides comprehensive treatment, including assisted reproduction techniques (ART). The inclusion criteria for this study were as follows: i. Women aged 18-45 years; ii. Diagnosed with couple infertility; and iii. Ability to read and write in Persian. Participants were selected through convenient sampling from infertile women in the embryo transfer stage of ART cycles at Royan Institute. The sample size was calculated at 120 patients, considering that 5 patients were necessary for each item (subject-to-item ratio: 5:1). As a rule of thumb, a minimum sample size of 100 would be enough for a psychometric study (18). In total, 155 women agreed to participate and completely filled out the questionnaires.
The Ethics Committee of Royan Institute, Tehran, Iran approved the study protocol. All participants were fully informed about the study’s scope and purpose, and the confidentiality of the data. Eligible women were also assured that the data would be used only for the purpose of the study and acceptance or refusal to participate in the research had no influence on their current or future treatments. A verbal informed consent was obtained from all participants before data collection.
Instruments Fertility Quality of Life Tool
FertiQoL is a self-report instrument that assesses QoL in individuals with fertility problems (15). FertiQoL is composed of two modules: the Core FertiQoL and Treatment FertiQoL. The Core FertiQoL module consists of 26 items. Two items are general and 24 items specific to infertility that cover four subscales of the QoL (i.e., 6 items per subscale). The four subscales are as follows: Emotional, Mind-Body, Relational, and Social. The optional Treatment FertiQoL module is composed of ten items that assess the following two subscales: Environment (6 items), and Tolerability (4 items). The FertiQoL yields 6 subscales and 2 total scores with a range of 0-100, with higher scores indicative of better QoL. The FertiQoL is a free to use instrument and the Persian version of FertiQoL is available at: www.fertiqol.org. The translation from English to Persian was performed by professional translators from Cardiff University. This paper’s first author assisted in the translation process by checking the Cardiff researchers’ word usage against local word use.
Satisfaction with Life Scale
The Satisfaction with Life Scale (SWLS) is a short 5-item instrument designed to measure global cognitive judgments of satisfaction with one’s life. Each item was scored on a 7-point Likert scale that ranged from 1 (strongly disagree) to 7 (strongly agree). Scale scores range from 5-35, with higher scores indicative of greater life satisfaction (19). The Persian version of the SWLS had adequate psychometric properties in the Iranian populations (20). The Cronbach’s alpha coefficient for the SWLS was 0.872 in the present study.
Hospital Anxiety and Depression Scale
The Hospital Anxiety and Depression Scale (HADS) is a 14-item self-report inventory composed of two subscales: Anxiety (HADS-A) and Depression (HADS-D). Both subscales of HADS consist of 7 items with each item scored on a 4-point Likert scale that ranges from 0 to 3. Subscale scores range from 0-21, with higher scores indicating higher level of anxiety and depression, respectively. We have used the Persian version of HADS in the present study. This version has previously been shown to have satisfactory reliability and validity (21). The Cronbach’s alpha coefficient for HADS-A was 0.840 whereas for HADS-D, it was 0.733 in the present study.
The factor structure of the Core FertiQoL and Treatment FertiQoL were examined by CFA. These models were tested using covariance matrices and the maximum likelihood estimation method. Goodness of fit of models were assessed using the chi-square (χ2), relative chi-square (χ2/df), the comparative fit index (CFI), the root mean square error of approximation (RMSEA), and the standardized root mean square residual (SRMR). The χ2 statistic is the classical measure for evaluating model fitness, but it is highly sensitive to sample size (22). Therefore we have used χ2/df as an alternative index to examine the model fit. A χ2/df ratio of less than 3 is considered indicative of a good fit (23). For other goodness of fit indices, acceptable thresholds are CFI>0.90, RMSEA24). We have used Cronbach’s alpha to measure the internal consistency of the FertiQoL. Values above 0.80 were considered excellent, 0.70-0.80 satisfactory, and 0.60-0.70 acceptable (25). Convergent validity of the FertiQoL was assessed by calculating its Pearson correlation coefficients with SWLS and HADS.
All data analyses were performed using SPSS version 16.0 (SPSS Inc., Chicago, IL, USA), except for the CFAs, which were performed using Lisrel 8.80 (Scientific Software International, Inc., Lincolnwood, IL, USA). All statistical tests were two-tailed and a P value of less than 0.05 was considered statistically significant.
Results Participant characteristics
The demographic and fertility characteristics of the women are presented in Table 1. The mean age of women was 31.03 ± 5.89 years. Among all participants, 45.8% had male factor infertility, 43.2% had a university education, 40.6% had no previous treatments, and 82.6% had no history of abortion. The mean duration of infertility was 6.25 ± 4.36 and 78.7% of women had primary infertility.
Demographic and fertility characteristics of the participants (n=155)
|Mean ± SD or n (%)|
|Age (Y)||31.03 ± 5.89|
|Duration of infertility (Y)||6.25 ± 4.36|
|Cause of infertility|
|Male factor||71 (45.8)|
|Female factor||29 (18.7)|
|Type of infertility|
|Failure of previous treatment|
|History of abortion|
Confirmatory factor analysis
We used the CFAs to determine the goodness of fit for the four-factor model of Core FertiQoL and two-factor model of Treatment FertiQoL. Although the χ2 value of the Core FertiQoL model was not satisfactory (χ2=410.80, df=252, P<0.001), the relative chi-square (χ2/df=1.63) was satisfactory. Examination of other goodness of fit indices indicated that the model provided an acceptable fit to the data, with CFI=0.96, RMSEA=0.064, and SRMR=0.067. All factor loadings were significant, except for Q15 (0.16), which ranged from 0.36 to 0.97 (Table 2).
Confirmatory factor analysis (CFA) of the Core Fertility Quality of Life (FertiQoL) in infertile women
|Subscale-item||Factor loading (SE)|
|Q4||Do you feel able to cope with your fertility problems?||0.36 (0.10)|
|Q7||Do your fertility problems cause feelings of jealousy and resentment?||0.68 (0.09)|
|Q8||Do you experience grief and/or feelings of loss about not being able to have a child (or more children)?||0.91 (0.09)|
|Q9||Do you fluctuate between hope and despair because of fertility problems?||0.82 (0.08)|
|Q16||Do you feel sad and depressed about your fertility problems?||0.93 (0.08)|
|Q23||Do your fertility problems make you angry?||0.92 (0.09)|
|Q1||Are your attention and concentration impaired by thoughts of infertility?||0.75 (0.09)|
|Q2||Do you think you cannot move ahead with other life goals and plans because of fertility problems?||0.76 (0.09)|
|Q3||Do you feel drained or worn out because of fertility problems?||0.97 (0.09)|
|Q12||Do your fertility problems interfere with your day-to-day work or obligations?||0.61 (0.09)|
|Q18||Are you bothered by fatigue because of fertility problems?||0.89 (0.09)|
|Q24||Do you feel pain and physical discomfort because of your fertility problems?||0.65 (0.08)|
|Q6||Are you satisfied with your sexual relationship even though you have fertility problems?||0.50 (0.08)|
|Q11||Are you and your partner affectionate with each other even though you have fertility problems?||0.54 (0.10)|
|Q15||Have fertility problems strengthened your commitment to your partner?||0.16 (0.11)|
|Q19||Have fertility problems had a negative impact on your relationship with your partner?||0.82 (0.08)|
|Q20||Do you find it difficult to talk to your partner about your feelings related to infertility?||0.52 (0.09)|
|Q21||Are you content with your relationship even though you have fertility problems?||0.57 (0.09)|
|Q5||Are you satisfied with the support you receive from friends with regard to your fertility problems?||0.51 (0.08)|
|Q10||Are you socially isolated because of fertility problems?||0.94 (0.10)|
|Q13||Do you feel uncomfortable attending social situations like holidays and celebrations because of your fertility problems?||0.95 (0.09)|
|Q14||Do you feel your family can understand what you are going through?||0.35 (0.11)|
|Q17||Do your fertility problems make you inferior to people with children?||0.84 (0.10)|
|Q22||Do you feel social pressure on you to have (or have more) children?||0.82 (0.09)|
SE; Standard error.
The CFA for two-factor model of Treatment FertiQoL showed a significant χ2 value (χ2=64.35, df=34, P=0.001). The relative chi-square was 1.89, which indicated that the model was an acceptable fit to data. The other fit indices were CFI=0.91, RMSEA=0.076, and SRMR=0.071. All factor loadings were significant, except for T2 (0.02), which ranged from 0.35 to 0.74 (Table 3).
Table 4 shows Cronbach’s alpha coefficients of the Core FertiQoL, Treatment FertiQoL, and their subscales. Both module of FertiQoL and their subscales revealed acceptable internal consistency that ranged from 0.643 to 0.911.
In order to examine the convergent validity of the FertiQoL, we calculated Pearson correlation coefficients between FertiQoL, SWLS, and HADS (Table 5). As expected, the Core FertiQoL and their subscales showed significant positive correlation with the SWLS (range: 0.375 to 0.488) and negative correlation with the HADS-A (range:-0.488 to-0.632) and the HADS-A (range:-0.501 to-0.662), which indicated acceptable convergent validity.
Confirmatory factor analysis (CFA) of the Treatment Fertility Quality of Life (FertiQoL) in infertile omen
|Subscale-item||Factor loading (SE)|
|T2||Are the fertility medical services you would like available to you?||0.02 (0.10)|
|T5||Do you feel the fertility staff understand what you are going through?||0.46 (0.08)|
|T7||Are you satisfied with the quality of services available to you to address your emotional needs?||0.65 (0.07)|
|T8||How would you rate the surgery and/or medical treatment(s) you have received?||0.57 (0.06)|
|T9||How would you rate the quality of information you received about medication, surgery and/or medical treatment?||0.60 (0.07)|
|T10||Are you satisfied with your interactions with fertility medical staff?||0.54 (0.08)|
|T1||Does infertility treatment negatively affect your mood?||0.66 (0.11)|
|T3||How complicated is dealing with the procedure and/ or administration of medication for your infertility treatment(s)?||0.35 (0.09)|
|T4||Are you bothered by the effect of treatment on your daily or work related activities?||0.73 (0.10)|
|T6||Are you bothered by the physical side effects of fertility medications and treatment?||0.74 (0.11)|
SE; Standard error.
Descriptive statistics and Cronbach’s alpha coefficients of the Core Fertility Quality of Life (FertiQoL) and Treatment FertiQoL in infertile women
|Reliability analysis||Descriptive statistics|
|Subscale||Number of items||Cronbach’s alpha||Mean||SD|
Pearson correlation coefficients between FertiQoL and the SWLS, HADS-A, and HADS-D in infertile women (n=155)
FertiQoL; Fertility Quality of Life, HADS; Hospital Anxiety Depression Scale, SWLS; Satisfaction with Life Scale, HADS-A; HADS-Anxiety, HADS-D; HADS-Depression, ** ; P<0.01, and *** ; P
Relationship of the FertiQoL with demographic characteristics
As presented in Table 6, there were no significant relationships between Core FertiQoL and age (P=0.620), durations of infertility (P=0.165), and history of abortion (P=0.927). A significant difference existed among the groups in terms of their treatment failures on the Core FertiQoL; Duncan’s post hoc test revealed that women with two failures in treatment had lower QoL than women without failure and women with ≥4 failures (P<0.05). There was a direct relationship between Core FertiQoL and educational level (P=0.009). Regarding the cause of infertility, the mean Core FertiQoL was lower among women who had both factors and unknown cause of infertility than other participants (P<0.05). The relationships between Treatment FertiQoL and demographic characteristics are shown in Table 6.
Relationship of Fertility Quality of Life (FertiQoL) with demographic and clinical characteristics in infertile women
|Core FertiQoL||Treatment FertiQoL|
|<30||49.6 ± 18.7||60.8 ± 19.2||72.3 ± 14.7||62.6 ± 18.8||61.3 ± 14.2||61.9 ± 13.1||54.1 ± 17.3||58.8 ± 11.8|
|30-35||55.6 ± 22.5||60.7 ± 24.5||72.4 ± 15.9||64.0 ± 25.3||63.2 ± 19.7||61.2 ± 13.1||55.2 ± 20.7||58.8 ± 12.7|
|≥35||58.9 ± 24.2||66.6 ± 22.1||66.2 ± 19.9||66.4 ± 20.9||64.5 ± 19.0||60.2 ± 17.7||52.4 ± 21.5||57.1 ± 15.3|
|Duration infertility (Y)|
|<3||56.5 ± 17.9||66.4 ± 19.0||72.2 ± 17.4||69.2 ± 20.4||66.1 ± 15.8||60.1 ± 11.6||52.8 ± 17.9||57.2 ± 10.8|
|3-6||53.3 ± 22.8||61.7 ± 21.4||71.9 ± 17.9||64.4 ± 20.5||62.8 ± 17.3||57.9 ± 15.1||51.8 ± 19.8||55.5 ± 13.8|
|≥6||51.0 ± 22.3||59.2 ± 23.0||68.6 ± 14.0||59.1 ± 21.6||59.5 ± 17.1||66.0 ± 14.1||57.4 ± 19.4||62.6 ± 12.4|
|Cause of infertility|
|Male factor||55.8 ± 21.4||65.7 ± 20.4||72.5 ± 16.4||65.2 ± 20.4||64.8 ± 16.7||62.6 ± 14.1||58.0 ± 18.5||60.7 ± 13.0|
|Female factor||59.6 ± 22.2||67.0 ± 24.2||75.3 ± 15.8||70.7 ± 21.9||68.1 ± 17.8||64.5 ± 14.8||53.0 ± 21.0||59.9 ± 13.6|
|Both||47.9 ± 20.6||53.2 ± 19.7||66.5 ± 18.3||62.5 ± 20.7||57.5 ± 16.4||61.4 ± 12.5||49.3 ± 19.6||56.5 ± 12.1|
|Unexplained||46.3 ± 19.1||56.5 ± 19.7||66.2 ± 14.4||55.2 ± 20.2||56.0 ± 14.3||54.9 ± 14.1||49.4 ± 17.2||52.7 ± 11.1|
|Type of infertility|
|Primary||52.8 ± 21.2||62.0 ± 21.5||71.2 ± 17.0||63.5 ± 22.1||62.4 ± 17.3||62.7 ± 13.4||54.9 ± 19.4||59.6 ± 11.9|
|Secondary||55.7 ± 22.1||62.8 ± 21.6||69.4 ± 14.5||65.4 ± 16.9||63.3 ± 15.4||56.1 ± 16.2||50.8 ± 18.3||53.9 ± 15.3|
|Primary||48.7 ± 21.0||58.8 ± 22.8||66.2 ± 13.6||58.0 ± 22.6||57.9 ± 16.6||66.7 ± 12.1||56.0 ± 20.9||62.4 ± 12.5|
|Secondary||50.1 ± 21.7||58.1 ± 21.9||68.6 ± 16.5||61.2 ± 20.7||59.5 ± 16.5||60.0 ± 14.5||53.5 ± 21.1||57.4 ± 14.5|
|University||58.4 ± 20.5||67.2 ± 19.6||74.8 ± 17.0||68.8 ± 20.0||67.3 ± 16.4||60.1 ± 14.5||53.5 ± 16.8||57.5 ± 11.4|
|Failure of treatment|
|0||59.7 ± 17.9||68.8 ± 19.7||70.4 ± 15.3||67.9 ± 19.4||66.7 ± 14.6||63.7 ± 13.3||60.2 ± 17.0||62.3 ± 11.9|
|1||52.0 ± 21.3||60.2 ± 22.0||70.5 ± 18.9||61.7 ± 23.2||61.1 ± 18.5||58.5 ± 14.3||45.6 ± 18.9||53.4 ± 12.0|
|2||39.8 ± 23.6||51.5 ± 21.0||67.1 ± 18.6||56.3 ± 23.9||53.6 ± 18.0||60.0 ± 17.5||47.5 ± 18.4||55.0 ± 12.3|
|3||45.2 ± 19.9||55.6 ± 18.3||72.8 ± 13.2||61.7 ± 16.2||58.8 ± 14.4||60.8 ± 13.9||53.4 ± 15.2||57.9 ± 11.7|
|≥4||62.1 ± 23.8||62.1 ± 25.2||78.0 ± 15.5||67.0 ± 22.8||67.3 ± 19.1||61.0 ± 13.7||62.5 ± 25.9||61.6 ± 17.9|
|History of abortion|
|No||53.1 ± 22.0||62.3 ± 22.2||70.9 ± 17.0||63.9 ± 22.0||62.5 ± 17.5||62.8 ± 13.5||54.9 ± 19.5||59.6 ± 12.2|
|Yes||55.1 ± 18.5||61.4 ± 17.9||70.8 ± 14.0||64.0 ± 16.6||62.8 ± 13.9||54.2 ± 15.5||49.8 ± 17.5||52.4 ± 14.7|
Values are mean ± SD.
The present study has aimed to evaluate the psychometrics properties of the FertiQoL in a sample of infertile women. FertiQoL is an infertility-specific questionnaire. In contrast to similar generic measures, it limits the factors that affect QoL to only infertility and no other stressful events. To our knowledge, this is the first study that has evaluated the factor structure of FertiQoL after a study by Melo et al. (17). The four-factor model of Core FertiQoL and two-factor model of Treatment FertiQoL were tested. In general, the Core and Treatment FertiQoL provided an acceptable fit to data. All factor loadings were significant, except for Q15 and T2. The model fit indices were acceptable similar to a study conducted by Melo et al. (17). The Core FertiQoL and their subscales showed satisfactory internal consistency, except for the Relational subscale (0.643) which had better reliability after removal of Q15 (0.689). The Treatment FertiQoL and their subscales showed acceptable internal consistency (0.6-0.7); at the same time reliability of Environment subscale improved after we removed item T2 (0.771). These findings indicated that some modifications for item Q15 and T2 might be needed in the scale to yield better internal consistency. A cross-cultural difference might contribute to these results.
Our finding confirmed the expected direct relationship between Core FertiQoL and SWLS, which indicated an acceptable convergent validity. As anticipated, the Core FertiQoL and its subscales negatively correlated with anxiety and depression. Infertile women with a high Core FertiQoL score reported lower levels of anxiety or depression and vice versa. These results supported previous studies and confirmed the convergent validity of Core FertiQoL (16, 26).
We also investigated the relationship between demographic characteristics and QoL. Although the difference was not statistically significant, on average, older women reported higher Core FertiQoL, Mind-Body, Emotional and Social subscales. Conversely, older women have reported lower Relational scores than younger women, but this difference was not significant. In general therefore, as women with infertility over 35 are considered old to be pregnant, their sexual relationship seems more pointless. This finding was roughly consistent with Aarts et al. (16). The results of this study did not show a significant relationship between Core FertiQoL and duration of infertility. The same results were reported by Rashidi et al. (13) and Keramat et al. (27). In contrast, women with lower infertility duration had lower Treatment FertiQoL. This result might be explained by the fact that infertile women become more aware of the treatment process over time.
A direct relationship was found with the Core FertiQoL and its subscales in terms of education level; in other words, the higher the education level, the greater the QoL. This result agreed with previous findings from Chachamovich et al. (7) and Rashidi et al. (13). Conversely, we observed lower Treatment FertiQoL among women with higher education. This result was inconsistent with the findings of Karabulut et al. (28). Women with two failures scored lower than other women on both Core and Treatment modules and their subscales, except for the Relational and Environment subscale. This results indicated that women with two failures might suffer from lower QoL and need to be supported by family, friends, and society (29). Psychological intervention, especially those that emphasize stress management and coping-skills training, might improve QoL in these women through affecting bio-psychological dimensions. We have found worse QoL in women whose source of infertility was both and unknown. Possibly when the problem is attributable to both there is no hope for gamete donation anymore. When the cause of infertility is unknown the roles are vague so the supportive role cannot be played by either of the couples to improve their QoL. Our study has found no association between Core FertiQoL and history of abortion. In contrast, women with abortion reported lower Treatment FertiQoL score than women with no abortion. This result may be explained by the fact that centers explain neither details of procedures nor the success rate of each procedure to the patients properly; this fact is what women with abortions know better. On the other hand these women are less assured about successful deliveries and expect the centers follow them until delivery rather than just releasing them when they are diagnosed pregnant.
Limitations of this study should be considered. First, the FertiQoL can separately assess the QoL in both women and men. Due to practical reasons, only the infertile women included in the study and their partners did not participate. We have only included women who were undergoing in vitro fertilization (IVF) treatment in the study. Those in the pre-treatment, diagnostic phase, or other ART were not investigated. Hence, generalization of the results might be affected by the sample. Second, this was a cross-sectional study and the causal relationship between QoL, SWLS, anxiety, depression, and infertility could not be established. Third, we did not examine test-retest reliability in this study.
The Persian version of FertiQoL is a valid, reliable instrument for measuring QoL in infertile women that provide an exhaustive and comprehensive assessment of QoL related to fertility problems across diverse life areas. However, further psychometric studies are needed in diverse populations, especially in infertile men, including test-retest reliability.