This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research article
Hosein Azizi
Department of Epidemiology and Biostatistics, Tehran University of Medical Sciences, Tehran, Iran. Phone: +984133826512, Corresponding: [email protected] Research Center of Psychiatry and Behavioral Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
Corresponding Author
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Background: Early Marriage (EM) has defined as a marriage or union between two people when one or both are below 18. EM has serious side effects on psychological well-being and increases the probability of depression risk in the future. In Iran, EM predictors and the risk of depression among married people are poorly understood.
Methods: A community-based descriptive-analytic study was conducted among the married general population in Malekan County. Stratified random sampling was performed. The face-to-face interviews and Beck depression inventory scale II were used by trained interviews. Multiple logistic regression was used to calculate adjusted odds ratios with 95% confidence interval the association between EM and predictor factors.
Results: A total of 402 married participated in the study. The prevalence rate of EM was found 87 (21.64%). Out of 87 EM people, 80% were female. Almost 60% and 46.4% of EM and non-EM respondents had depressive symptoms, respectively. In the final analysis, EM was increased risk of depression (AOR=1.60; 95% CI: 1.2 – 2.72). Moreover, educational level of parents (AOR=5.53; 95% CI: 2.14 – 17.22), educational level of participants, (AOR=4.27; 95% CI: 1.28 – 14.35), female (AOR=2.43; 95% CI: 1.32 – 4.46), and family income (AOR=2.74; 95% CI: 1.00 – 7.84), were found significant predictors of EM.
Conclusion: The educational level of married people and their parents are strong predictors of EM. Furthermore, EM affects depressive symptoms in the future. A general policy with inter-sectoral collaborations and increasing health literacy and effective training programs are imperative to reduce EM rates.
Keywords
Early marriage, Iran, Depression, Predictors
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research article
Hosein Azizi
Department of Epidemiology and Biostatistics, Tehran University of Medical Sciences, Tehran, Iran. Phone: +984133826512, Corresponding: [email protected] Research Center of Psychiatry and Behavioral Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 22 Sep, 2020
Community comments: 1
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Sexual & Reproductive Medicine
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Early Marriage (EM) has defined as a marriage or union between two people when one or both are below 18. EM has serious side effects on psychological well-being and increases the probability of depression risk in the future. In Iran, EM predictors and the risk of depression among married people are poorly understood.
Methods: A community-based descriptive-analytic study was conducted among the married general population in Malekan County. Stratified random sampling was performed. The face-to-face interviews and Beck depression inventory scale II were used by trained interviews. Multiple logistic regression was used to calculate adjusted odds ratios with 95% confidence interval the association between EM and predictor factors.
Results: A total of 402 married participated in the study. The prevalence rate of EM was found 87 (21.64%). Out of 87 EM people, 80% were female. Almost 60% and 46.4% of EM and non-EM respondents had depressive symptoms, respectively. In the final analysis, EM was increased risk of depression (AOR=1.60; 95% CI: 1.2 – 2.72). Moreover, educational level of parents (AOR=5.53; 95% CI: 2.14 – 17.22), educational level of participants, (AOR=4.27; 95% CI: 1.28 – 14.35), female (AOR=2.43; 95% CI: 1.32 – 4.46), and family income (AOR=2.74; 95% CI: 1.00 – 7.84), were found significant predictors of EM.
Conclusion: The educational level of married people and their parents are strong predictors of EM. Furthermore, EM affects depressive symptoms in the future. A general policy with inter-sectoral collaborations and increasing health literacy and effective training programs are imperative to reduce EM rates.
Figure 1
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