Impact of healthy lifestyle on diabetes incidence among adults of different socioeconomic status in Guizhou province: a prospective cohort study
ObjectiveTo understand the impact of healthy lifestyle on diabetes incidence among adults with different socioeconomic status (SES) in Guizhou province and provide reference for diabetes prevention and control. MethodsA total of 9 280 permanent residents aged ≥ 18 years in Guizhou Province were recr...
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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/zgggws1144974 |
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| author | Yiying WANG Min CHEN Lieqiang ZHANG Xin WANG Wei ZHAN Yunxi PAN Xiaodeng ZHAO Tao LIU |
| author_facet | Yiying WANG Min CHEN Lieqiang ZHANG Xin WANG Wei ZHAN Yunxi PAN Xiaodeng ZHAO Tao LIU |
| author_sort | Yiying WANG |
| collection | DOAJ |
| description | ObjectiveTo understand the impact of healthy lifestyle on diabetes incidence among adults with different socioeconomic status (SES) in Guizhou province and provide reference for diabetes prevention and control. MethodsA total of 9 280 permanent residents aged ≥ 18 years in Guizhou Province were recruited using multistage cluster random sampling. Face-to-face interviews with a questionnaire developed by the Chinese Center for Disease Control and Prevention，physical examinations, and laboratory tests were conducted among the residents from November 2010 to December 2012 to collect baseline data, and follow-up surveys were conducted from December 2016 to June 2021. After excluding those with a history of diabetes at baseline, unclear diabetes status, loss to follow-up, and unclear follow-up outcomes, 4 747 adults were included in the final analysis. Multivariate Cox proportional hazards regression models were used to analyze the effect of healthy lifestyle on diabetes incidence among adults with different SES. ResultsThe 4 747 adults were followed for 0.1 – 9.52 years, with a mean follow-up of 6.98 ± 1.44 years. During follow-up, 560 cases of diabetes were identified, with an incidence rate of 11.80% and an incidence density of 16.89/1 000 person-years. Multivariate Cox proportional hazards regression analysis showed that after adjustment for gender, age, ethnicity, marital status, place of residence, family history of diabetes, and SES score, adults with 3, 4, and ≥ 5 healthy lifestyle factors had 34. 5% (hazard ratio [HR] = 0.655, 95% confidence interval [95%CI]: 0.517 – 0.830), 38.1% (HR = 0.619, 95%CI: 0.479 – 0.800), and 70.8% (HR = 0.292, 95%CI: 0.184 – 0.465) lower diabetes risk, respectively, compared with those with ≤ 2 healthy lifestyle factors. After adjustment for gender, age, ethnicity, marital status, place of residence, family history of diabetes, and number of healthy lifestyle factors, adults with an SES score of ≥ 12 had a 28.7% (HR = 0.713, 95%CI: 0.541 – 0.940) lower risk of diabetes compared with those with an SES score of ≤ 8. After adjustment for gender, age, ethnicity, marital status, place of residence, and family history of diabetes, among adults with an SES score of ≤ 8, those with 5 or more healthy lifestyle factors had a 60.4% (HR = 0.396, 95%CI: 0.198 – 0.788) lower risk of diabetes compared with those with 2 or fewer factors. Among adults with SES scores of 9 – 11, those with 3, 4, and ≥ 5 healthy lifestyle factors had 42.0% (HR = 0.580, 95%CI: 0.397 – 0.848), 36.6% (HR = 0.634, 95%CI: 0.424 – 0.947), and 78.0% (HR = 0.220, 95%CI: 0.094 – 0.514) lower diabetes risk, respectively. Among adults with an SES score of ≥ 12, those with 4 and 5 or more healthy lifestyle factors had 50.4% (HR = 0.496, 95%CI: 0.276 – 0.894) and 71.4% (HR = 0.286, 95%CI: 0.110 – 0.740) lower diabetes risk, respectively compared with those with 2 or fewer factors. ConclusionsBoth higher SES and more healthy lifestyle factors can reduce the risk of diabetes among adults in Guizhou province. However, those with low SES need to maintain a sufficient number of healthy lifestyle factors to reduce their diabetes risk. |
| format | Article |
| id | doaj-art-a6405297751d44818473f7fb5cb8da6a |
| institution | Kabale University |
| issn | 1001-0580 |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | Editorial Office of Chinese Journal of Public Health |
| record_format | Article |
| series | Zhongguo gonggong weisheng |
| spelling | doaj-art-a6405297751d44818473f7fb5cb8da6a2025-02-11T02:11:59ZzhoEditorial Office of Chinese Journal of Public HealthZhongguo gonggong weisheng1001-05802024-12-0140121459146410.11847/zgggws11449741144974Impact of healthy lifestyle on diabetes incidence among adults of different socioeconomic status in Guizhou province: a prospective cohort studyYiying WANG0Min CHEN1Lieqiang ZHANG2Xin WANG3Wei ZHAN4Yunxi PAN5Xiaodeng ZHAO6Tao LIU7Guizhou Center for Disease Control and Prevention, Guiyang 550000, ChinaGuizhou Center for Disease Control and Prevention, Guiyang 550000, ChinaGuizhou Center for Disease Control and Prevention, Guiyang 550000, ChinaGuizhou Center for Disease Control and Prevention, Guiyang 550000, ChinaGuizhou Center for Disease Control and Prevention, Guiyang 550000, ChinaGuizhou Center for Disease Control and Prevention, Guiyang 550000, ChinaGuizhou Center for Disease Control and Prevention, Guiyang 550000, ChinaGuizhou Center for Disease Control and Prevention, Guiyang 550000, ChinaObjectiveTo understand the impact of healthy lifestyle on diabetes incidence among adults with different socioeconomic status (SES) in Guizhou province and provide reference for diabetes prevention and control. MethodsA total of 9 280 permanent residents aged ≥ 18 years in Guizhou Province were recruited using multistage cluster random sampling. Face-to-face interviews with a questionnaire developed by the Chinese Center for Disease Control and Prevention，physical examinations, and laboratory tests were conducted among the residents from November 2010 to December 2012 to collect baseline data, and follow-up surveys were conducted from December 2016 to June 2021. After excluding those with a history of diabetes at baseline, unclear diabetes status, loss to follow-up, and unclear follow-up outcomes, 4 747 adults were included in the final analysis. Multivariate Cox proportional hazards regression models were used to analyze the effect of healthy lifestyle on diabetes incidence among adults with different SES. ResultsThe 4 747 adults were followed for 0.1 – 9.52 years, with a mean follow-up of 6.98 ± 1.44 years. During follow-up, 560 cases of diabetes were identified, with an incidence rate of 11.80% and an incidence density of 16.89/1 000 person-years. Multivariate Cox proportional hazards regression analysis showed that after adjustment for gender, age, ethnicity, marital status, place of residence, family history of diabetes, and SES score, adults with 3, 4, and ≥ 5 healthy lifestyle factors had 34. 5% (hazard ratio [HR] = 0.655, 95% confidence interval [95%CI]: 0.517 – 0.830), 38.1% (HR = 0.619, 95%CI: 0.479 – 0.800), and 70.8% (HR = 0.292, 95%CI: 0.184 – 0.465) lower diabetes risk, respectively, compared with those with ≤ 2 healthy lifestyle factors. After adjustment for gender, age, ethnicity, marital status, place of residence, family history of diabetes, and number of healthy lifestyle factors, adults with an SES score of ≥ 12 had a 28.7% (HR = 0.713, 95%CI: 0.541 – 0.940) lower risk of diabetes compared with those with an SES score of ≤ 8. After adjustment for gender, age, ethnicity, marital status, place of residence, and family history of diabetes, among adults with an SES score of ≤ 8, those with 5 or more healthy lifestyle factors had a 60.4% (HR = 0.396, 95%CI: 0.198 – 0.788) lower risk of diabetes compared with those with 2 or fewer factors. Among adults with SES scores of 9 – 11, those with 3, 4, and ≥ 5 healthy lifestyle factors had 42.0% (HR = 0.580, 95%CI: 0.397 – 0.848), 36.6% (HR = 0.634, 95%CI: 0.424 – 0.947), and 78.0% (HR = 0.220, 95%CI: 0.094 – 0.514) lower diabetes risk, respectively. Among adults with an SES score of ≥ 12, those with 4 and 5 or more healthy lifestyle factors had 50.4% (HR = 0.496, 95%CI: 0.276 – 0.894) and 71.4% (HR = 0.286, 95%CI: 0.110 – 0.740) lower diabetes risk, respectively compared with those with 2 or fewer factors. ConclusionsBoth higher SES and more healthy lifestyle factors can reduce the risk of diabetes among adults in Guizhou province. However, those with low SES need to maintain a sufficient number of healthy lifestyle factors to reduce their diabetes risk.https://www.zgggws.com/article/doi/10.11847/zgggws1144974diabetesincidencehealthy lifestyleimpactsocioeconomic statusadult residentsprospective cohort studyguizhou province |
| spellingShingle | Yiying WANG Min CHEN Lieqiang ZHANG Xin WANG Wei ZHAN Yunxi PAN Xiaodeng ZHAO Tao LIU Impact of healthy lifestyle on diabetes incidence among adults of different socioeconomic status in Guizhou province: a prospective cohort study Zhongguo gonggong weisheng diabetes incidence healthy lifestyle impact socioeconomic status adult residents prospective cohort study guizhou province |
| title | Impact of healthy lifestyle on diabetes incidence among adults of different socioeconomic status in Guizhou province: a prospective cohort study |
| title_full | Impact of healthy lifestyle on diabetes incidence among adults of different socioeconomic status in Guizhou province: a prospective cohort study |
| title_fullStr | Impact of healthy lifestyle on diabetes incidence among adults of different socioeconomic status in Guizhou province: a prospective cohort study |
| title_full_unstemmed | Impact of healthy lifestyle on diabetes incidence among adults of different socioeconomic status in Guizhou province: a prospective cohort study |
| title_short | Impact of healthy lifestyle on diabetes incidence among adults of different socioeconomic status in Guizhou province: a prospective cohort study |
| title_sort | impact of healthy lifestyle on diabetes incidence among adults of different socioeconomic status in guizhou province a prospective cohort study |
| topic | diabetes incidence healthy lifestyle impact socioeconomic status adult residents prospective cohort study guizhou province |
| url | https://www.zgggws.com/article/doi/10.11847/zgggws1144974 |
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