Prevalence and determinants of clustering of adverse lifestyle behaviors among 35 – 75 years old residents at high cardiovascular disease risk in Hebei province: an analysis of data from a national disease surveillance project
ObjectiveTo investigate the prevalence and influencing factors of clustering of adverse lifestyle behaviors in populations at high risk of cardiovascular disease (CVD) in Hebei province, thus providing a reference for the prevention and control of CVD in the local population. MethodsInformation on 2...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Chinese Journal of Public Health
2024-10-01
|
| Series: | Zhongguo gonggong weisheng |
| Subjects: | |
| Online Access: | https://www.zgggws.com/article/doi/10.11847/zgggws1143814 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832591061881454592 |
|---|---|
| author | Yuejing QIAO Yuhuan LIU Lijuan TANG Dongsheng JIANG Xiaoli LIU Ze CUI |
| author_facet | Yuejing QIAO Yuhuan LIU Lijuan TANG Dongsheng JIANG Xiaoli LIU Ze CUI |
| author_sort | Yuejing QIAO |
| collection | DOAJ |
| description | ObjectiveTo investigate the prevalence and influencing factors of clustering of adverse lifestyle behaviors in populations at high risk of cardiovascular disease (CVD) in Hebei province, thus providing a reference for the prevention and control of CVD in the local population. MethodsInformation on 29 721 residents aged 35 – 75 years who were considered at high risk of CVD was collected from the datasets of the CVD Early Detection and Comprehensive Intervention Project, which was conducted in 11 sites in Hebei province from 2018 to 2021. The clustering and influencing factors of five adverse lifestyle behaviors among the residents were analyzed. ResultsOf the 29 721 residents surveyed, 27 430 (92.29%) reported having at least two or more adverse lifestyle behaviors associated with CVD risk and the numbers (percentages) of reporters were 8 132 (27.36%) for smoking, 3 493 (11.75%) for alcohol consumption, 22 236 (74.82%) for overweight/obesity, 6 725 (22.63%) for high-salt diet, and 15 100 (50.81%) for physical inactivity, respectively. A total of 18 357 (61.76%) of the residents reported the clustering of adverse lifestyle behaviors (with two or more of the five behaviors) and the subgroups of reporting higher clustering of the adverse lifestyle behaviors were those being males (9 745 [79.74%] reporting the clustering), aged 45 – 54 years (4 932, 63.94%), with primary education or below (9 254, 64.70%), with agricultural household registration (15 321, 67.26%), and with annual household income of ≤ 25 000 Chinese yuan (13 836, 66.41%), and being farmers (13 795, 67.72%). Multivariate unconditional logistic regression analysis revealed that being aged 45 – 64 years and having an agricultural household registration were risk factors for clustering of adverse lifestyle behaviors, but being female, having a junior high school education and above, having an annual household income of more than 25 000 Chinese yuan, being a laborer/private/commercial service worker/retired person/housewife/unemployed/and having other occupation were protective factors against the clustering for the residents. ConclusionAdverse lifestyle behaviors are prevalent and particularly clustered among residents at high CVD risk aged 35 – 75 years in Hebei province, and the clustering of adverse lifestyle behaviors was significantly influenced by gender, age, education, household registration, annual household income, and occupation in the population. |
| format | Article |
| id | doaj-art-cf4e242235af46b3b24df613cfd0caca |
| institution | Kabale University |
| issn | 1001-0580 |
| language | zho |
| publishDate | 2024-10-01 |
| publisher | Editorial Office of Chinese Journal of Public Health |
| record_format | Article |
| series | Zhongguo gonggong weisheng |
| spelling | doaj-art-cf4e242235af46b3b24df613cfd0caca2025-01-23T05:11:54ZzhoEditorial Office of Chinese Journal of Public HealthZhongguo gonggong weisheng1001-05802024-10-0140101230123410.11847/zgggws11438141143814Prevalence and determinants of clustering of adverse lifestyle behaviors among 35 – 75 years old residents at high cardiovascular disease risk in Hebei province: an analysis of data from a national disease surveillance projectYuejing QIAO0Yuhuan LIU1Lijuan TANG2Dongsheng JIANG3Xiaoli LIU4Ze CUI5School of Public Health, Hebei University, Baoding 071000, ChinaInstitute of Chronic Non-communicable Disease Prevention and Control, Hebei Province Center for Disease Prevention and Control, Shijiazhuang 050021, ChinaInstitute of Chronic Non-communicable Disease Prevention and Control, Hebei Province Center for Disease Prevention and Control, Shijiazhuang 050021, ChinaInstitute of Chronic Non-communicable Disease Prevention and Control, Hebei Province Center for Disease Prevention and Control, Shijiazhuang 050021, ChinaInstitute of Chronic Non-communicable Disease Prevention and Control, Hebei Province Center for Disease Prevention and Control, Shijiazhuang 050021, ChinaInstitute of Chronic Non-communicable Disease Prevention and Control, Hebei Province Center for Disease Prevention and Control, Shijiazhuang 050021, ChinaObjectiveTo investigate the prevalence and influencing factors of clustering of adverse lifestyle behaviors in populations at high risk of cardiovascular disease (CVD) in Hebei province, thus providing a reference for the prevention and control of CVD in the local population. MethodsInformation on 29 721 residents aged 35 – 75 years who were considered at high risk of CVD was collected from the datasets of the CVD Early Detection and Comprehensive Intervention Project, which was conducted in 11 sites in Hebei province from 2018 to 2021. The clustering and influencing factors of five adverse lifestyle behaviors among the residents were analyzed. ResultsOf the 29 721 residents surveyed, 27 430 (92.29%) reported having at least two or more adverse lifestyle behaviors associated with CVD risk and the numbers (percentages) of reporters were 8 132 (27.36%) for smoking, 3 493 (11.75%) for alcohol consumption, 22 236 (74.82%) for overweight/obesity, 6 725 (22.63%) for high-salt diet, and 15 100 (50.81%) for physical inactivity, respectively. A total of 18 357 (61.76%) of the residents reported the clustering of adverse lifestyle behaviors (with two or more of the five behaviors) and the subgroups of reporting higher clustering of the adverse lifestyle behaviors were those being males (9 745 [79.74%] reporting the clustering), aged 45 – 54 years (4 932, 63.94%), with primary education or below (9 254, 64.70%), with agricultural household registration (15 321, 67.26%), and with annual household income of ≤ 25 000 Chinese yuan (13 836, 66.41%), and being farmers (13 795, 67.72%). Multivariate unconditional logistic regression analysis revealed that being aged 45 – 64 years and having an agricultural household registration were risk factors for clustering of adverse lifestyle behaviors, but being female, having a junior high school education and above, having an annual household income of more than 25 000 Chinese yuan, being a laborer/private/commercial service worker/retired person/housewife/unemployed/and having other occupation were protective factors against the clustering for the residents. ConclusionAdverse lifestyle behaviors are prevalent and particularly clustered among residents at high CVD risk aged 35 – 75 years in Hebei province, and the clustering of adverse lifestyle behaviors was significantly influenced by gender, age, education, household registration, annual household income, and occupation in the population.https://www.zgggws.com/article/doi/10.11847/zgggws1143814cardiovascular diseasehigh-risk populationadverse lifestyleclusteringinfluencing factor |
| spellingShingle | Yuejing QIAO Yuhuan LIU Lijuan TANG Dongsheng JIANG Xiaoli LIU Ze CUI Prevalence and determinants of clustering of adverse lifestyle behaviors among 35 – 75 years old residents at high cardiovascular disease risk in Hebei province: an analysis of data from a national disease surveillance project Zhongguo gonggong weisheng cardiovascular disease high-risk population adverse lifestyle clustering influencing factor |
| title | Prevalence and determinants of clustering of adverse lifestyle behaviors among 35 – 75 years old residents at high cardiovascular disease risk in Hebei province: an analysis of data from a national disease surveillance project |
| title_full | Prevalence and determinants of clustering of adverse lifestyle behaviors among 35 – 75 years old residents at high cardiovascular disease risk in Hebei province: an analysis of data from a national disease surveillance project |
| title_fullStr | Prevalence and determinants of clustering of adverse lifestyle behaviors among 35 – 75 years old residents at high cardiovascular disease risk in Hebei province: an analysis of data from a national disease surveillance project |
| title_full_unstemmed | Prevalence and determinants of clustering of adverse lifestyle behaviors among 35 – 75 years old residents at high cardiovascular disease risk in Hebei province: an analysis of data from a national disease surveillance project |
| title_short | Prevalence and determinants of clustering of adverse lifestyle behaviors among 35 – 75 years old residents at high cardiovascular disease risk in Hebei province: an analysis of data from a national disease surveillance project |
| title_sort | prevalence and determinants of clustering of adverse lifestyle behaviors among 35 75 years old residents at high cardiovascular disease risk in hebei province an analysis of data from a national disease surveillance project |
| topic | cardiovascular disease high-risk population adverse lifestyle clustering influencing factor |
| url | https://www.zgggws.com/article/doi/10.11847/zgggws1143814 |
| work_keys_str_mv | AT yuejingqiao prevalenceanddeterminantsofclusteringofadverselifestylebehaviorsamong3575yearsoldresidentsathighcardiovasculardiseaseriskinhebeiprovinceananalysisofdatafromanationaldiseasesurveillanceproject AT yuhuanliu prevalenceanddeterminantsofclusteringofadverselifestylebehaviorsamong3575yearsoldresidentsathighcardiovasculardiseaseriskinhebeiprovinceananalysisofdatafromanationaldiseasesurveillanceproject AT lijuantang prevalenceanddeterminantsofclusteringofadverselifestylebehaviorsamong3575yearsoldresidentsathighcardiovasculardiseaseriskinhebeiprovinceananalysisofdatafromanationaldiseasesurveillanceproject AT dongshengjiang prevalenceanddeterminantsofclusteringofadverselifestylebehaviorsamong3575yearsoldresidentsathighcardiovasculardiseaseriskinhebeiprovinceananalysisofdatafromanationaldiseasesurveillanceproject AT xiaoliliu prevalenceanddeterminantsofclusteringofadverselifestylebehaviorsamong3575yearsoldresidentsathighcardiovasculardiseaseriskinhebeiprovinceananalysisofdatafromanationaldiseasesurveillanceproject AT zecui prevalenceanddeterminantsofclusteringofadverselifestylebehaviorsamong3575yearsoldresidentsathighcardiovasculardiseaseriskinhebeiprovinceananalysisofdatafromanationaldiseasesurveillanceproject |