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10.1186/s12889-025-23501-w

http://scihub22266oqcxt.onion/10.1186/s12889-025-23501-w
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suck abstract from ncbi


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pmid40611070      BMC+Public+Health 2025 ; 25 (1): 2333
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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 #MMPMID40611070
  • Wu R; Yi K; Yang Y; Wang S
  • BMC Public Health 2025[Jul]; 25 (1): 2333 PMID40611070show ga
  • 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.
  • |*Health Behavior[MESH]
  • |*Health Policy[MESH]
  • |*Urban Population/statistics & numerical data[MESH]
  • |Aged[MESH]
  • |China[MESH]
  • |Cities[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]


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