Dataset Information

Health shocks and changes in preventive behaviors: Results from the China Health and Retirement Longitudinal Study.

ABSTRACT:

Background

China is facing the challenge of rising prevalence and ballooning burden of chronic non-communicable diseases (NCDs); however, the Chinese middle- and older-aged population considerably lack preventive behaviors. Health shocks (HS), widely defined as sudden health deterioration brought on by diseases or accidents, bring a "teachable moment" to motivate changes in preventive behaviors.

Objective

This study aims to examine the effect of HS on changes in preventive behaviors, including personal health practices and preventive care utilization.

Methods

HS was defined as any five chronic disease diagnoses (cancer, heart disease, stroke, diabetes, and hypertension). The impacts of HS on smoking, drinking, and exercise, physical examination were estimated. The panel data of 13,705 respondents were obtained from the latest two waves of the China Health and Retirement Longitudinal Study (CHARLS) in 2015 and 2018. A multilevel propensity score match difference-in-difference (multilevel PSM-DID) model was constructed.

Results

HS significantly decreased smoking (OR = 0.59, p < 0.05) and drinking (OR = 0.62, p < 0.01) and increased the utilization of auxiliary inspection in physical examination (OR = 1.19, p < 0.1). Major HS had significantly considerable and specific effects on reducing smoking and drinking (OR = 0.37 and 0.56, p < 0.01), while minor HS had relatively small effects on reducing smoking (OR = 0.74, p < 0.05) and drinking (OR = 0.69, p < 0.01), but extensive effects on initiating exercise (OR = 1.32, p < 0.05), physical examination (OR = 1.18, p < 0.1), and auxiliary inspection (OR = 1.30, p < 0.05).

Conclusion

After HS, there is a teachable moment to promote positive changes in preventive behaviors. Guided by the 5A's brief intervention model (Ask, Advise, Assess, Assist, Arrange), tailored interventions should be targeted at these populations to reduce the risk of the progression and complications of existing diseases, prevent the related comorbidity, and prolong the expected life-span.

SUBMITTER: Zhang P

PROVIDER: S-EPMC9363769 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

Health shocks and changes in preventive behaviors: Results from the China Health and Retirement Longitudinal Study.

Zhang Peng P Jiang Hongli H Chen Wen W

Frontiers in public health 20220727

<h4>Background</h4>China is facing the challenge of rising prevalence and ballooning burden of chronic non-communicable diseases (NCDs); however, the Chinese middle- and older-aged population considerably lack preventive behaviors. Health shocks (HS), widely defined as sudden health deterioration brought on by diseases or accidents, bring a "teachable moment" to motivate changes in preventive behaviors.<h4>Objective</h4>This study aims to examine the effect of HS on changes in preventive behavio ...[more]

PMID: 35968418

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Project description:Background: China is the biggest consumer of tobacco in the world, with a high prevalence of smoking especially among men. Along with the rapid demographic change in China, the burden of diseases attributable to health behaviors, particularly smoking is steadily increasing. So, smoking has become a major risk factor for mortality in China. Smoking behaviors may be related to migration processes, as a result of both who migrates and post-migration experiences related to socioeconomic position, stress and acculturation. Existing studies that have examined smoking and migration in China have, however, only focused on temporary rural-to-urban migrants and focused on relatively younger migrants. This paper examines the association between smoking behaviors and a comprehensive assessment of migration status in later-life in China. Methods: Using the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative dataset, this paper studies smoking behaviors of rural-to-urban migrants, urban-to-urban migrants, rural return migrants, and urban return migrants. We compare them with corresponding non-migrant groups in both rural and urban locations in China. Using a model that controls for demographic factors, early-life circumstances, socioeconomic factors, and factors related to migration, we examine both the decision to start smoking and the decision to quit smoking. In addition, we also address pre-migration selection in our analyses. Results: The results show rural-to-urban migrants are no more likely to start smoking compared with rural non-migrants, but they are more likely to quit smoking. While urban-to-urban migrants are more likely to start smoking compared with urban non-migrants, this effect is explained by the factors we include in the full model. Urban-to-urban migrants are, however, less likely to quit smoking. Moreover, both rural return migrants and urban return migrants seem to be more likely to start smoking and less likely to quit smoking compared with non-migrant groups. Conclusion: There are strong associations between migration status and later-life smoking behaviors in China; these associations vary greatly according to different migration status and point to populations and factors that public health activities should focus on.

Dataset Information

Health shocks and changes in preventive behaviors: Results from the China Health and Retirement Longitudinal Study.

Background

Objective

Methods

Results

Conclusion

Publications

Health shocks and changes in preventive behaviors: Results from the China Health and Retirement Longitudinal Study.

Similar Datasets

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