| Majid Barati | 3 Articles |
Background
Childbearing is the most important determinant of population fluctuations, and its study is more important than other population phenomena. Owing to the lack of a valid questionnaire based on the extended theory of planned behavior, this mixed-method study was conducted to determine the validity and reliability of a questionnaire designed to examine related belief-based factors on the intention to bear children in Iranian society. Methods This study was conducted in two phases in Hamadan city, western Iran, in 2021. Phase 1 consisted of an extensive literature review and a qualitative study using a directed content analysis approach to generate an item pool. Psychometrics were measured in phase 2, including content, face, and construct validity. Reliability was assessed based on internal consistency and stability. The collected data were analyzed using IBM SPSS and AMOS ver. 24.0. Results Mean content validity ratio and content validity index were 0.7 and 0.85, respectively. Exploratory factor analysis of the 32 items identified an eight-factor solution. These factors jointly accounted for 79.1% of the observed variance in the outcome variables. Confirmatory factor analysis indicated a good fit for the data. The internal consistency based on Cronbach’s α was 0.85 (0.71–0.93). In addition, stability was confirmed using the test-retest method and intraclass correlation coefficient (0.74–0.94). Conclusion The designed questionnaire is a valid and reliable instrument for evaluating related belief-based factors on the intention and behavior of childbearing among married men and women in Iran. Citations Citations to this article as recorded by
Background
Fertility and childbearing are the most important determinants of population variation around the world. This study was conducted with the aim of determining the psychological and sociodemographic factors predicting fertility intention among women referred to comprehensive health centers in Hamadan based on the beliefs, attitudes, subjective norms, and enabling factors (BASNEF) model. Methods This descriptive analytical study was performed in comprehensive health centers in Hamadan in 2016. Through a multi-stage sampling method, 484 women were enrolled in the study. The data collection tool was a selfreport questionnaire based on the constructs of the BASNEF model. Data were analyzed using linear regression, independent t-test, and a one-way analysis of variance using IBM SPSS software ver. 22.0 (IBM Corp., Armonk, NY, USA). Results The mean±standard deviation of the women’s age was 31.85±6.13 years. The variables of motivation to comply (β=0.228), enabling factors (β=0.162), subjective norms (β=0.134), and attitude (β=0.122) were the predictors of fertility intention in women. This model was able to explain 16.8% of variance in behavioral intention. Also, lower age, higher education, shorter duration of marriage, and having a daughter resulted in a greater fertility intention. Conclusion It seems that designing and implementing educational programs to improve attitudes, promoting positive subjective norms, and enhancing enabling factors can play a major role in increasing fertility intention in women. Citations Citations to this article as recorded by
Background
Elderly people’s life is affected by multiple factors including social support, which is of the utmost importance. This study aimed to explore the association between social support and happiness as well as the impact of types of social support on happiness among elders. Methods This descriptive and analytical study was carried out on 411 elderly men and women referred to the retirement, cultural, and rehabilitation centers in Hamadan, west of Iran. Participants were selected by a multi-stage random sampling method. The research instrument included a questionnaire consisting of three parts: demographic information, the Oxford Argyle Happiness Inventory, and a Questionnaire derived from Social Support Theory. The questionnaire was completed through a self-report study. The collected data were analyzed using Pearson correlation coefficients, multiple linear regression, independent t-tests, and one-way analysis of variance in IBM SPSS Software ver. 22.0. Results The mean for happiness was reported as 41.17±15.2. The values given for social support were 29.40±11.95 and for its dimensions were 7.53±3.89 and 13.70±4.90 for informational support and emotional support, respectively. Moreover, the mean value for appraisal support was 3.48±2.37 and was 4.70±2.56 for instrumental support. Multiple linear regression analysis revealed that social support and demographic variables could account for approximately 25% (R2 =0.25) of changes in the variable of happiness. Conclusion High social support could increase happiness among elders. The quality and quantity of social support can be taken into account as proper determinants and predictors of happiness among elders. Citations Citations to this article as recorded by
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