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Determinants of Iranian youths’ marriage age: A parametric survival analysis approach

Publish Year: 1396
Type: Journal paper
Language: English
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JR_JSDI-3-4_001

Index date: 31 October 2022

Determinants of Iranian youths’ marriage age: A parametric survival analysis approach abstract

Background: Early and delayed marriage has their own effects on mothers and their children's health and social dimensions. Nowadays, Iran experiences delayed marriage due to several factors; thus, the present study was concocted to investigate the factors affecting youths’ marriage age, and to compare these factors between males and females.Methods: To study demographic, socio-economical, and some atitudinal behavior factors affecting the age of marriage, in the current cross-sectional study, 12741 Iranian pre-married youths including 6381 males and 6360 females from all provinces were selected using multi-stage stratified method and the data was collected using a structured questionnaire in 2014. The questionnaire included demographic, socio-economical, and some atitudinal behavior questions about childbearing. Kaplan-Meier, Log-Rank test, and parametric survival analysis were applied in IBM SPSS Statistics for Windows, Version 22.0., and SAS 9.3 software.Results: Gamma and Log Logistic parametric models were the best fitted models for females’ and males’ marriage age, respectively. Females and males who lived in provinces with TFR<2 were married α=0.03 (95%CI=0.02_-0.05) and α=0.05 (95%CI=0.04_0.06) times later than those who lived in provinces with TFR≥2, respectively. Rural females and males married α=-0.06 (95%CI=-0.08_-0.03) and -0.02 (95%CI=-0.06_-0.03) times sooner than urban ones, respectively. As educational level, the number of siblings, and income increased, the youths’ marriage age increased (P<0.05). Employed youths also married later compared with unemployed ones. Conclusion: Young females and males had the same factors influencing their marriage age.

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Determinants of Iranian youths’ marriage age: A parametric survival analysis approach authors

Mahsa Saadati

Biostatistics Assistant Professor of National Population Studies and Comprehensive Management Institute, Tehran, Iran

Arezoo Bagheri

Applied Statistics Assistant Professor of National Population Studies and Comprehensive Management Institute, Tehran, Iran