Dataset Information

The Willingness to Change Risky Health Behaviors among Chinese Rural Residents: What We Learned from a Population-Based Esophageal Cancer Cohort Study.

ABSTRACT:

Background

The effectiveness of health interventions can be impaired by low socio-economic status and poor living conditions of the target population. However, the specifics of this problem in rural China are still unclear, and appropriate strategies should be explored.

Methods

In 2013, we conducted a questionnaire-based investigation among 410 participants from a population-based esophageal cancer cohort study in rural Anyang, China. Information regarding their demographic characteristics, levels of exposure to four health-risk behaviors, including smoking, alcohol consumption, risky dietary behaviors and poor hygiene, as well as willingness to change these behaviors, and data on potential predictors of willingness to change behaviors were collected.

Results

In this study, 33.3% (23/69), 25.0% (13/52), 60.7% (68/112) and 62.2% (237/381) of respondents reported that they were willing to change smoking, alcohol consumption, risky dietary behaviors and poor hygiene, respectively. Older people had higher exposure levels and less willingness to change these four health-risk behaviors. The levels of these four health-risk behaviors were negatively associated with willingness to change, while faith in people and behavioral change in surrounding people increased willingness to change risky behaviors.

Conclusions

In behavior-intervention-based health-promotion programs in rural China, the elderly and highly exposed populations should be the most difficult part and community- or household-based intervention would be more efficient.

SUBMITTER: Liu M

PROVIDER: S-EPMC5004976 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The Willingness to Change Risky Health Behaviors among Chinese Rural Residents: What We Learned from a Population-Based Esophageal Cancer Cohort Study.

Liu Mengfei M Zhang Chanyuan C Cai Hong H Liu Fangfang F Liu Ying Y Li Jingjing J Pan Yaqi Y Guo Chuanhai C He Zhonghu Z Ke Yang Y

PloS one 20160830 8

<h4>Background</h4>The effectiveness of health interventions can be impaired by low socio-economic status and poor living conditions of the target population. However, the specifics of this problem in rural China are still unclear, and appropriate strategies should be explored.<h4>Methods</h4>In 2013, we conducted a questionnaire-based investigation among 410 participants from a population-based esophageal cancer cohort study in rural Anyang, China. Information regarding their demographic charac ...[more]

PMID: 27575990

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Project description:During the COVID-19 pandemic, there has been a growing prevalence of mental disorders, particularly in China, where anti-epidemic measures have been more stringent compared to other countries. This has resulted in a heightened psychological burden on individuals. However, the actual psychological impacts of COVID-19 on Chinese residents have not been clearly established. In this study, we aimed to investigate the effects of various factors, including personal and household characteristics, social networks, and epidemic-related variables (such as rural residents' knowledge of COVID-19 virus transmission and prevention), on rural residents' depression. Using a two-year balanced panel dataset encompassing 152 villages and 676 samples in both 2019 and 2020, we employed the Ordinary Least Squares (OLS) model to estimate the influence of these factors and compare their coefficients to examine the changes in rural residents' depression between the pre-epidemic and during-epidemic periods. Our study highlights significant factors contributing to rural residents' depression during the COVID-19 pandemic, including isolation (2.063, p < 0.01) and concern about COVID-19 infection (0.128, p < 0.05). Conversely, factors such as health status (-0.714, p < 0.01) and the number of friends (-0.017, p < 0.01) were found to significantly alleviate depression among rural residents. Moreover, we identify key moderators that mitigate the negative impact of infection concerns on mental health. Specifically, the health status of rural residents (-0.166, p < 0.01), the size of their family network (-0.036, p < 0.05), and their knowledge of COVID-19 transmission and prevention (-0.184, p < 0.05) significantly moderated the relationship between infection concerns and depression. These findings contribute to a better understanding of the psychological implications of the pandemic and provide valuable insights for the development of targeted interventions to address mental health challenges in rural populations.

Dataset Information

The Willingness to Change Risky Health Behaviors among Chinese Rural Residents: What We Learned from a Population-Based Esophageal Cancer Cohort Study.

Background

Methods

Results

Conclusions

Publications

The Willingness to Change Risky Health Behaviors among Chinese Rural Residents: What We Learned from a Population-Based Esophageal Cancer Cohort Study.

Similar Datasets

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