Adherence to four healthy lifestyle factors and their influencing factors among residents aged 35 – 75 in South China: a cross-sectional survey
ObjectiveTo investigate the adherence to four healthy lifestyle factors among residents aged 35 – 75 years in South China and to identify the influencing factors, providing a reference for promoting healthy lifestyles in this region. MethodsA cross-sectional survey was conducted from September 2015...
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Editorial Office of Chinese Journal of Public Health
2024-12-01
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Series: | Zhongguo gonggong weisheng |
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Online Access: | https://www.zgggws.com/article/doi/10.11847/zgggws1144262 |
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author | Wenyan HE Xingyi ZHANG Chunqi WANG Xueke BAI Yang YANG Wei XU Lijuan SONG Yan ZHANG Hao YANG Xi LI Jianlan CUI |
author_facet | Wenyan HE Xingyi ZHANG Chunqi WANG Xueke BAI Yang YANG Wei XU Lijuan SONG Yan ZHANG Hao YANG Xi LI Jianlan CUI |
author_sort | Wenyan HE |
collection | DOAJ |
description | ObjectiveTo investigate the adherence to four healthy lifestyle factors among residents aged 35 – 75 years in South China and to identify the influencing factors, providing a reference for promoting healthy lifestyles in this region. MethodsA cross-sectional survey was conducted from September 2015 to November 2022 using a typical sampling method in South China. A total of 289 937 residents aged 35 – 75 years from Guangdong province, Guangxi Zhuang Autonomous Region, and Hainan province were included. The adherence to four healthy lifestyle factors, namely non-smoking, no or moderate alcohol consumption, adequate physical activity, and a healthy diet, was analyzed. Multivariable unconditional logistic regression models were used to identify the influencing factors. ResultsAmong the 80,385 residents aged 35 – 75 years included in the final analysis, the number of participants adhering to non-smoking, no or moderate alcohol consumption, adequate physical activity, a healthy diet, and all four healthy lifestyle factors were 66 765, 78 576, 23 807, 18 391, and 6 707, respectively. The corresponding adherence rates were 83.1%, 97.7%, 29.6%, 22.9%, and 8.3%, and the standardized adherence rates were 77.95%, 97.26%, 27.66%, 23.42%, and 7.31%, respectively. Multivariable unconditional logistic regression analysis showed that female residents, those aged 70 – 75 years, those with a college degree or higher, those who were married, and those with a history of myocardial infarction/coronary revascularization/stroke were more likely to adhere to non-smoking. Residents aged 40 – 59 years, those with a junior high school education, farmers, rural residents, those with an annual household income of 10 000 – 50 000 yuan, and those with a history of hypertension/diabetes were less likely to adhere to non-smoking. Female residents, those aged 70 – 75 years, and those who were married were more likely to adhere to no or moderate alcohol consumption. Residents aged 50 – 59 years, farmers, and rural residents were less likely to adhere to no or moderate alcohol consumption. Female residents, those aged 50 – 75 years, those with a high school education or higher, those with an annual household income of > 50 000 yuan, and those with a history of hypertension/diabetes or myocardial infarction/coronary revascularization/stroke were more likely to adhere to adequate physical activity. Residents aged 40 – 49 years, those with a junior high school education, farmers, rural residents, and those with an annual household income of 10 000 – 50 000 yuan were less likely to adhere to adequate physical activity. Female residents, those aged 50 – 75 years, those with a high school education or higher, and those with an annual household income of > 50 000 yuan were more likely to adhere to a healthy diet. Residents with a junior high school education, farmers, rural residents, and those with social medical insurance were less likely to adhere to a healthy diet. Female residents, those aged 50 – 75 years, those with a high school education or higher, those with an annual household income of > 50 000 yuan, and those with a history of myocardial infarction/coronary revascularization/stroke were more likely to adhere to all four healthy lifestyle factors. Residents aged 40 – 49 years, those with a junior high school education, farmers, rural residents, and those with an annual household income of 10 000 – 50 000 yuan were less likely to adhere to all four healthy lifestyle factors. ConclusionsThe adherence rates to non-smoking, no or moderate alcohol consumption, adequate physical activity, and a healthy diet were low among residents aged 35 – 75 years in South China. Gender, occupation, residence, and history of myocardial infarction/coronary revascularization/stroke were common influencing factors for adherence to the four healthy lifestyle factors. |
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institution | Kabale University |
issn | 1001-0580 |
language | zho |
publishDate | 2024-12-01 |
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spelling | doaj-art-dc00c886100a4a1d94b18a1db589a8592025-02-11T02:11:59ZzhoEditorial Office of Chinese Journal of Public HealthZhongguo gonggong weisheng1001-05802024-12-0140121427143310.11847/zgggws11442621144262Adherence to four healthy lifestyle factors and their influencing factors among residents aged 35 – 75 in South China: a cross-sectional surveyWenyan HE0Xingyi ZHANG1Chunqi WANG2Xueke BAI3Yang YANG4Wei XU5Lijuan SONG6Yan ZHANG7Hao YANG8Xi LI9Jianlan CUI10National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, National Clinical Research Center for Cardiovascular Diseases, Key Laboratory of Cardiovascular Drug Clinical Research of the National Health Commission, State Key Laboratory of Cardiovascular Disease, Beijing 100037, ChinaNational Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, National Clinical Research Center for Cardiovascular Diseases, Key Laboratory of Cardiovascular Drug Clinical Research of the National Health Commission, State Key Laboratory of Cardiovascular Disease, Beijing 100037, ChinaNational Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, National Clinical Research Center for Cardiovascular Diseases, Key Laboratory of Cardiovascular Drug Clinical Research of the National Health Commission, State Key Laboratory of Cardiovascular Disease, Beijing 100037, ChinaNational Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, National Clinical Research Center for Cardiovascular Diseases, Key Laboratory of Cardiovascular Drug Clinical Research of the National Health Commission, State Key Laboratory of Cardiovascular Disease, Beijing 100037, ChinaNational Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, National Clinical Research Center for Cardiovascular Diseases, Key Laboratory of Cardiovascular Drug Clinical Research of the National Health Commission, State Key Laboratory of Cardiovascular Disease, Beijing 100037, ChinaNational Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, National Clinical Research Center for Cardiovascular Diseases, Key Laboratory of Cardiovascular Drug Clinical Research of the National Health Commission, State Key Laboratory of Cardiovascular Disease, Beijing 100037, ChinaNational Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, National Clinical Research Center for Cardiovascular Diseases, Key Laboratory of Cardiovascular Drug Clinical Research of the National Health Commission, State Key Laboratory of Cardiovascular Disease, Beijing 100037, ChinaNational Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, National Clinical Research Center for Cardiovascular Diseases, Key Laboratory of Cardiovascular Drug Clinical Research of the National Health Commission, State Key Laboratory of Cardiovascular Disease, Beijing 100037, ChinaNational Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, National Clinical Research Center for Cardiovascular Diseases, Key Laboratory of Cardiovascular Drug Clinical Research of the National Health Commission, State Key Laboratory of Cardiovascular Disease, Beijing 100037, ChinaNational Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, National Clinical Research Center for Cardiovascular Diseases, Key Laboratory of Cardiovascular Drug Clinical Research of the National Health Commission, State Key Laboratory of Cardiovascular Disease, Beijing 100037, ChinaNational Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, National Clinical Research Center for Cardiovascular Diseases, Key Laboratory of Cardiovascular Drug Clinical Research of the National Health Commission, State Key Laboratory of Cardiovascular Disease, Beijing 100037, ChinaObjectiveTo investigate the adherence to four healthy lifestyle factors among residents aged 35 – 75 years in South China and to identify the influencing factors, providing a reference for promoting healthy lifestyles in this region. MethodsA cross-sectional survey was conducted from September 2015 to November 2022 using a typical sampling method in South China. A total of 289 937 residents aged 35 – 75 years from Guangdong province, Guangxi Zhuang Autonomous Region, and Hainan province were included. The adherence to four healthy lifestyle factors, namely non-smoking, no or moderate alcohol consumption, adequate physical activity, and a healthy diet, was analyzed. Multivariable unconditional logistic regression models were used to identify the influencing factors. ResultsAmong the 80,385 residents aged 35 – 75 years included in the final analysis, the number of participants adhering to non-smoking, no or moderate alcohol consumption, adequate physical activity, a healthy diet, and all four healthy lifestyle factors were 66 765, 78 576, 23 807, 18 391, and 6 707, respectively. The corresponding adherence rates were 83.1%, 97.7%, 29.6%, 22.9%, and 8.3%, and the standardized adherence rates were 77.95%, 97.26%, 27.66%, 23.42%, and 7.31%, respectively. Multivariable unconditional logistic regression analysis showed that female residents, those aged 70 – 75 years, those with a college degree or higher, those who were married, and those with a history of myocardial infarction/coronary revascularization/stroke were more likely to adhere to non-smoking. Residents aged 40 – 59 years, those with a junior high school education, farmers, rural residents, those with an annual household income of 10 000 – 50 000 yuan, and those with a history of hypertension/diabetes were less likely to adhere to non-smoking. Female residents, those aged 70 – 75 years, and those who were married were more likely to adhere to no or moderate alcohol consumption. Residents aged 50 – 59 years, farmers, and rural residents were less likely to adhere to no or moderate alcohol consumption. Female residents, those aged 50 – 75 years, those with a high school education or higher, those with an annual household income of > 50 000 yuan, and those with a history of hypertension/diabetes or myocardial infarction/coronary revascularization/stroke were more likely to adhere to adequate physical activity. Residents aged 40 – 49 years, those with a junior high school education, farmers, rural residents, and those with an annual household income of 10 000 – 50 000 yuan were less likely to adhere to adequate physical activity. Female residents, those aged 50 – 75 years, those with a high school education or higher, and those with an annual household income of > 50 000 yuan were more likely to adhere to a healthy diet. Residents with a junior high school education, farmers, rural residents, and those with social medical insurance were less likely to adhere to a healthy diet. Female residents, those aged 50 – 75 years, those with a high school education or higher, those with an annual household income of > 50 000 yuan, and those with a history of myocardial infarction/coronary revascularization/stroke were more likely to adhere to all four healthy lifestyle factors. Residents aged 40 – 49 years, those with a junior high school education, farmers, rural residents, and those with an annual household income of 10 000 – 50 000 yuan were less likely to adhere to all four healthy lifestyle factors. ConclusionsThe adherence rates to non-smoking, no or moderate alcohol consumption, adequate physical activity, and a healthy diet were low among residents aged 35 – 75 years in South China. Gender, occupation, residence, and history of myocardial infarction/coronary revascularization/stroke were common influencing factors for adherence to the four healthy lifestyle factors.https://www.zgggws.com/article/doi/10.11847/zgggws1144262healthy lifestyleadherenceinfluencing factorsresidents aged 35 – 75 yearssouth china |
spellingShingle | Wenyan HE Xingyi ZHANG Chunqi WANG Xueke BAI Yang YANG Wei XU Lijuan SONG Yan ZHANG Hao YANG Xi LI Jianlan CUI Adherence to four healthy lifestyle factors and their influencing factors among residents aged 35 – 75 in South China: a cross-sectional survey Zhongguo gonggong weisheng healthy lifestyle adherence influencing factors residents aged 35 – 75 years south china |
title | Adherence to four healthy lifestyle factors and their influencing factors among residents aged 35 – 75 in South China: a cross-sectional survey |
title_full | Adherence to four healthy lifestyle factors and their influencing factors among residents aged 35 – 75 in South China: a cross-sectional survey |
title_fullStr | Adherence to four healthy lifestyle factors and their influencing factors among residents aged 35 – 75 in South China: a cross-sectional survey |
title_full_unstemmed | Adherence to four healthy lifestyle factors and their influencing factors among residents aged 35 – 75 in South China: a cross-sectional survey |
title_short | Adherence to four healthy lifestyle factors and their influencing factors among residents aged 35 – 75 in South China: a cross-sectional survey |
title_sort | adherence to four healthy lifestyle factors and their influencing factors among residents aged 35 75 in south china a cross sectional survey |
topic | healthy lifestyle adherence influencing factors residents aged 35 – 75 years south china |
url | https://www.zgggws.com/article/doi/10.11847/zgggws1144262 |
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