Background <p>To understand the role mechanism of policy tools on the influence of protection behavior of middle-aged and older adults, and to provide a reference basis for the government to improve the protection policy of infectious diseases.</p> Methods <p>A questionnaire on protective behaviors was conducted in June to August 2023 using a random sampling method among 463 urban middle-aged and older adults (aged 45 and above) in 19 provinces. And the mechanism of the influence of policy tools on protective behaviors of middle-aged and older adults was analyzed through using multivariate ordered logistic regression model.</p> Results <p>The mean value of protective behavior was 3.025 among 463 middle-aged and older adults; the results of multivariate ordered logistic regression analysis showed that punitive tools, incentive tools, nudging tools, and boosting tools could directly and positively influence the protective behavior of middle-aged and older adults; self-efficacy partially mediated the influence of the four types of policy tools on protective behavior.</p> Conclusion <p>The protective behavior of middle-aged and older adults still needs to be improved, and policy tools can be utilized to intervene in their protective behaviors.</p>

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Research on the impact of policy tools on health protection behavior of the middle-aged and older adults in the city

  • Ruxin Wu,
  • Keqi Yi,
  • Yanyi Yang,
  • Shuang Wang

摘要

Background

To understand the role mechanism of policy tools on the influence of protection behavior of middle-aged and older adults, and to provide a reference basis for the government to improve the protection policy of infectious diseases.

Methods

A questionnaire on protective behaviors was conducted in June to August 2023 using a random sampling method among 463 urban middle-aged and older adults (aged 45 and above) in 19 provinces. And the mechanism of the influence of policy tools on protective behaviors of middle-aged and older adults was analyzed through using multivariate ordered logistic regression model.

Results

The mean value of protective behavior was 3.025 among 463 middle-aged and older adults; the results of multivariate ordered logistic regression analysis showed that punitive tools, incentive tools, nudging tools, and boosting tools could directly and positively influence the protective behavior of middle-aged and older adults; self-efficacy partially mediated the influence of the four types of policy tools on protective behavior.

Conclusion

The protective behavior of middle-aged and older adults still needs to be improved, and policy tools can be utilized to intervene in their protective behaviors.