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<p>This study aimed to measure the socio-demographic factors of happiness among young adults in Iran. A national cross-sectional study measures socio-demographic factors of happiness among a representative sample of young adults (20–39 years). The mean happiness score in all 13,173 samples was 4.09 out of 6. The results obtained from multiple logistic regression analysis showed a significant association between happiness, age, education, occupation, and income. In contrast, the association between happiness, gender, and the place of living was insignificant. Separate analyses for men and women showed that age, education, occupation, and income still stayed significant for men, but for women, only education, and income were significant. The results of the path analysis indicated that income was a predictor for happiness (ß = ± 0.09). However, the model explained about 1.5% of the variance observed (R<sup>2</sup> = 0.015). The findings were indicated that low income and unemployment make people feel unhappy. Indeed, improving economic situation and occupation status might be an effective measure to improve happiness among young adults.</p>

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Socio-demographic factors of happiness among young adults in Iran

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月4日

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  • Ali Montazeri,
  • Samira Mohammadi,
  • Mahmoud Tavousi,
  • Aliasghar Haeri-Mehrizi,
  • Jila Sadighi,
  • Faranak Farzadi,
  • Farzaneh Maftoon,
  • Afsoon Aeenparast,
  • Ramin Mozaffari Kermani

摘要

This study aimed to measure the socio-demographic factors of happiness among young adults in Iran. A national cross-sectional study measures socio-demographic factors of happiness among a representative sample of young adults (20–39 years). The mean happiness score in all 13,173 samples was 4.09 out of 6. The results obtained from multiple logistic regression analysis showed a significant association between happiness, age, education, occupation, and income. In contrast, the association between happiness, gender, and the place of living was insignificant. Separate analyses for men and women showed that age, education, occupation, and income still stayed significant for men, but for women, only education, and income were significant. The results of the path analysis indicated that income was a predictor for happiness (ß = ± 0.09). However, the model explained about 1.5% of the variance observed (R2 = 0.015). The findings were indicated that low income and unemployment make people feel unhappy. Indeed, improving economic situation and occupation status might be an effective measure to improve happiness among young adults.