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<p>This study explored the relationship between a multidimensional typology of religiosity and risk of mortality. Using data from middle-aged Southern California respondents in the Longitudinal Study of Generations, we performed latent class analysis to construct a typology of religiosity, which was then used to predict mortality from 1971 to 2020. We identified four religiosity classes: strongly, weakly, privately, and liberally religious. Cox proportional hazard models revealed that privately religious males had greater mortality risk than strongly religious males, even after controlling for the mediators self-rated health and psychological wellbeing. In women, risk of mortality was explained by these mediators rather than by religiosity.</p>

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Does Religiosity Reduce Mortality Risk Over the Second Half of Life Among Southern Californians? A Multidimensional Model Within a Hazard Modeling Framework

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年4月5日

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  • Maria Teresa Brown,
  • Wencheng Zhang,
  • Woosang Hwang,
  • Merril Silverstein

摘要

This study explored the relationship between a multidimensional typology of religiosity and risk of mortality. Using data from middle-aged Southern California respondents in the Longitudinal Study of Generations, we performed latent class analysis to construct a typology of religiosity, which was then used to predict mortality from 1971 to 2020. We identified four religiosity classes: strongly, weakly, privately, and liberally religious. Cox proportional hazard models revealed that privately religious males had greater mortality risk than strongly religious males, even after controlling for the mediators self-rated health and psychological wellbeing. In women, risk of mortality was explained by these mediators rather than by religiosity.