Healthy lifestyles and risk of major non-communicable chronic diseases and mortality in individuals with metabolic syndrome
Objectives: To assess the associations between lifestyle factors and the risk of non-communicable chronic diseases (NCDs) and mortality in individuals with metabolic syndrome (MS), and to evaluate population-attributable risk (PAR) from multiple lifestyle factors. Methods: The study included 49,891...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-09-01
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| Series: | The Journal of Nutrition, Health and Aging |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1279770725001794 |
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| author | Xiang Gao Jiali Zheng Mengdan Liu Chong Liu Yixin Wang Yan Li Weihua Chen Xiaoguang Li Hui Wang |
| author_facet | Xiang Gao Jiali Zheng Mengdan Liu Chong Liu Yixin Wang Yan Li Weihua Chen Xiaoguang Li Hui Wang |
| author_sort | Xiang Gao |
| collection | DOAJ |
| description | Objectives: To assess the associations between lifestyle factors and the risk of non-communicable chronic diseases (NCDs) and mortality in individuals with metabolic syndrome (MS), and to evaluate population-attributable risk (PAR) from multiple lifestyle factors. Methods: The study included 49,891 MS individuals from the UK Biobank. Seven lifestyle factors (smoking, diet, physical activity, sedentary behavior, sleep duration, psychological stress, and social contact status) were assessed using both unweighted and weighted lifestyle scores. Cox proportional hazards model was used to analyze the associations between lifestyle factors and major NCDs (diabetes, cardiovascular disease [CVD], chronic obstructive pulmonary disease [COPD], chronic kidney disease [CKD], and cancer) and all-cause mortality. Results: During a median follow-up of 11.0 years, 19,435 major NCDs and 3,578 deaths were recorded. Higher adherence to healthy lifestyle factors, assessed by both unweighted and weighted scores, was significantly associated with lower risks of major NCDs and all-cause mortality. Compared with participants having 0−3 healthy lifestyle factors (unweighted score), those with 6−7 factors had 28% (HR = 0.72, 95% CI: 0.69−0.75) lower risk of major NCDs and 39% (HR = 0.61, 95% CI: 0.55−0.69) lower risk of mortality. Correspondingly, using the weighted lifestyle score, the very healthy group showed a 27% (HR = 0.73, 95% CI: 0.70−0.76) lower risk of major NCDs and a 40% (HR = 0.60, 95% CI: 0.54−0.66) lower risk of mortality compared with the very unhealthy group. The PARs associated with all 7 healthy lifestyle factors were 20.72% and 26.93% for major NCDs and all-cause mortality, respectively. Conclusions: The adoption of multiple healthy behaviors significantly reduces the risk of NCDs and mortality in MS patients, highlighting the need for more comprehensive lifestyle interventions targeted at this group with metabolic impairments. |
| format | Article |
| id | doaj-art-2967e55693a74ae7a95da2c3394eaa3b |
| institution | Kabale University |
| issn | 1760-4788 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | The Journal of Nutrition, Health and Aging |
| spelling | doaj-art-2967e55693a74ae7a95da2c3394eaa3b2025-08-20T05:04:46ZengElsevierThe Journal of Nutrition, Health and Aging1760-47882025-09-0129910065410.1016/j.jnha.2025.100654Healthy lifestyles and risk of major non-communicable chronic diseases and mortality in individuals with metabolic syndromeXiang Gao0Jiali Zheng1Mengdan Liu2Chong Liu3Yixin Wang4Yan Li5Weihua Chen6Xiaoguang Li7Hui Wang8School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China; Corresponding authors.School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Corresponding authors.School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Hainan International Medical Center, Haikou, Hainan, China; Corresponding authors.Objectives: To assess the associations between lifestyle factors and the risk of non-communicable chronic diseases (NCDs) and mortality in individuals with metabolic syndrome (MS), and to evaluate population-attributable risk (PAR) from multiple lifestyle factors. Methods: The study included 49,891 MS individuals from the UK Biobank. Seven lifestyle factors (smoking, diet, physical activity, sedentary behavior, sleep duration, psychological stress, and social contact status) were assessed using both unweighted and weighted lifestyle scores. Cox proportional hazards model was used to analyze the associations between lifestyle factors and major NCDs (diabetes, cardiovascular disease [CVD], chronic obstructive pulmonary disease [COPD], chronic kidney disease [CKD], and cancer) and all-cause mortality. Results: During a median follow-up of 11.0 years, 19,435 major NCDs and 3,578 deaths were recorded. Higher adherence to healthy lifestyle factors, assessed by both unweighted and weighted scores, was significantly associated with lower risks of major NCDs and all-cause mortality. Compared with participants having 0−3 healthy lifestyle factors (unweighted score), those with 6−7 factors had 28% (HR = 0.72, 95% CI: 0.69−0.75) lower risk of major NCDs and 39% (HR = 0.61, 95% CI: 0.55−0.69) lower risk of mortality. Correspondingly, using the weighted lifestyle score, the very healthy group showed a 27% (HR = 0.73, 95% CI: 0.70−0.76) lower risk of major NCDs and a 40% (HR = 0.60, 95% CI: 0.54−0.66) lower risk of mortality compared with the very unhealthy group. The PARs associated with all 7 healthy lifestyle factors were 20.72% and 26.93% for major NCDs and all-cause mortality, respectively. Conclusions: The adoption of multiple healthy behaviors significantly reduces the risk of NCDs and mortality in MS patients, highlighting the need for more comprehensive lifestyle interventions targeted at this group with metabolic impairments.http://www.sciencedirect.com/science/article/pii/S1279770725001794Healthy lifestylesNon-communicable chronic diseaseMetabolic syndromeMortalityUK biobank |
| spellingShingle | Xiang Gao Jiali Zheng Mengdan Liu Chong Liu Yixin Wang Yan Li Weihua Chen Xiaoguang Li Hui Wang Healthy lifestyles and risk of major non-communicable chronic diseases and mortality in individuals with metabolic syndrome The Journal of Nutrition, Health and Aging Healthy lifestyles Non-communicable chronic disease Metabolic syndrome Mortality UK biobank |
| title | Healthy lifestyles and risk of major non-communicable chronic diseases and mortality in individuals with metabolic syndrome |
| title_full | Healthy lifestyles and risk of major non-communicable chronic diseases and mortality in individuals with metabolic syndrome |
| title_fullStr | Healthy lifestyles and risk of major non-communicable chronic diseases and mortality in individuals with metabolic syndrome |
| title_full_unstemmed | Healthy lifestyles and risk of major non-communicable chronic diseases and mortality in individuals with metabolic syndrome |
| title_short | Healthy lifestyles and risk of major non-communicable chronic diseases and mortality in individuals with metabolic syndrome |
| title_sort | healthy lifestyles and risk of major non communicable chronic diseases and mortality in individuals with metabolic syndrome |
| topic | Healthy lifestyles Non-communicable chronic disease Metabolic syndrome Mortality UK biobank |
| url | http://www.sciencedirect.com/science/article/pii/S1279770725001794 |
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