代谢综合征人群中新兴健康生活方式与全因死亡结局的关系
The Relationship between Emerging Healthy Lifestyles and All-Cause Mortality in People with Metabolic Syndrome
DOI: 10.12677/ACM.2023.1392040, PDF,   
作者: 侯荣耀, 张 帅, 张 枫, 郭瑞友*:青岛大学附属海慈医院神经内科,山东 青岛;牛梦莹:青岛大学附属医院神经内科,山东 青岛
关键词: NHANES代谢综合征健康生活方式死亡结局NHANES Metabolic Syndrome Healthy Lifestyle Mortality
摘要: 目的:本研究旨在探讨新兴健康生活方式是否以及在多大程度上降低具有代谢综合征和代谢综合征样特征的个体的全因死亡风险。方法:共选取2007~2014年全国健康与营养调查(NHANES)的6934名参与者,我们根据以下标准评估了参与者的生活方式,即吸烟、饮酒、体力活动、饮食、睡眠时间和久坐行为信息。采用广义线性回归模型分析健康生活方式评分与全因死亡结局的关系。结果与结论:与健康生活方式评分较低的参与者相比,代谢综合征人群中健康生活方式评分中等组的风险比为0.51 (RR = 0.51, 95% CI 0.30~0.88),健康生活方式评分较高组的风险比为0.26 (RR = 0.26, 95% CI 0.15~0.48)。性别差异仍然存在,女性的中、高分组的风险比分别为0.47 (RR = 0.47, 95% CI 0.23~0.96)和0.21 (RR = 0.21, 95% CI 0.09~0.46)。相比之下,在男性中,健康生活方式的保护作用只在高分组中更为显著(RR = 0.33, 95% CI 0.13~0.83)。无论参与者具有一项代谢综合征的特征,还是多项特征的组合,较高的生活方式评分均与较显著的保护作用相关。在具有代谢综合征及代谢综合征样特征的人群中,坚持新型健康生活方式可降低全因死亡风险,且得分越高,作用越明显。
Abstract: Aims: To explore whether and to what extent emerging healthy lifestyles reduce the risk of all-cause mortality in individuals with metabolic syndrome and metabolic syndrome-like charac-teristics. Methods: A total of 6934 participants from the 2007 to 2014 National Health and Nutrition Examination Survey (NHANES) were included. We evaluated participants’ lifestyles according to the following criteria: smoking, alcohol consumption, physical activity, diet, sleep duration, and seden-tary behavior information. Generalized linear regression models were used to analyze the associa-tion between healthy lifestyle scores and all-cause mortality. Results and Conclusions: Among par-ticipants with metabolic syndrome, compared to low healthy lifestyle scores group, the risk ratio (RR) was 0.51 (RR = 0.51, 95% CI 0.30~0.88) and 0.26 (RR = 0.26, 95% CI 0.15~0.48) for people with middle and high lifestyle scores respectively. The difference in gender persists. In females, the RRs of the middle and high score groups were 0.47 (RR = 0.47, 95% CI 0.23~0.96) and 0.21 (RR = 0.21, 95% CI 0.09~0.46), respectively. Compared to males, the protective effect of a healthy lifestyle was more pronounced only in the high score group (RR = 0.33, 95% CI 0.13~0.83). Higher lifestyle scores were associated with more prominent protective effects, regardless of the presence of a sin-gle metabolic syndrome factor or a combination of several factors. As a conclusion, sticking to an emerging healthy lifestyle can reduce the risk of all-cause mortality in people with metabolic syn-drome and metabolic syndrome-like characteristics; the higher the score, the more obvious the protective effect.
文章引用:侯荣耀, 张帅, 张枫, 牛梦莹, 郭瑞友. 代谢综合征人群中新兴健康生活方式与全因死亡结局的关系[J]. 临床医学进展, 2023, 13(9): 14588-14598. https://doi.org/10.12677/ACM.2023.1392040

参考文献

[1] Saklayen, M.G. (2018) The Global Epidemic of the Metabolic Syndrome. Current Hypertension Reports, 20, Article No. 12. [Google Scholar] [CrossRef] [PubMed]
[2] Khunti, K. and Davies, M. (2005) Metabolic Syndrome. BMJ, 331, 1153-1154. [Google Scholar] [CrossRef] [PubMed]
[3] Alberti, K.G. and Zimmet, P.Z. (1998) Definition, Diagnosis and Classification of Diabetes Mellitus and Its Complications. Part 1: Diagnosis and Classification of Diabetes Mellitus Pro-visional Report of a WHO Consultation. Diabetic Medicine, 15, 539-553. [Google Scholar] [CrossRef
[4] Alberti, K.G., Eckel, R.H., Grundy, S.M., Zimmet, P.Z., Cleeman, J.I., Donato, K.A., et al. (2009) Harmonizing the Metabolic Syndrome: A Joint Interim Statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis So-ciety; and International Association for the Study of Obesity. Circulation, 120, 1640-1645. [Google Scholar] [CrossRef
[5] Nilsson, P.M., Tuomilehto, J. and Rydén, L. (2019) The Metabolic Syndrome—What Is It and How Should It Be Managed? European Journal of Preventive Cardi-ology, 26, 33-46. [Google Scholar] [CrossRef] [PubMed]
[6] Prasun, P. (2020) Mitochondrial Dysfunction in Metabolic Syndrome. Biochimica et Biophysica Acta: Molecular Basis of Disease, 1866, Article ID: 165838. [Google Scholar] [CrossRef] [PubMed]
[7] Lorenzo, C., Williams, K., Hunt, K.J. and Haffner, S.M. (2007) The National Cholesterol Education Program—Adult Treatment Panel III, International Diabetes Federation, and World Health Organization Definitions of the Metabolic Syndrome as Predictors of Incident Cardiovascular Disease and Diabe-tes. Diabetes Care, 30, 8-13. [Google Scholar] [CrossRef] [PubMed]
[8] Bozkurt, B., Aguilar, D., Deswal, A., Dunbar, S.B., Francis, G.S., Hor-wich, T., et al. (2016) Contributory Risk and Management of Comorbidities of Hypertension, Obesity, Diabetes Mellitus, Hyperlipidemia, and Metabolic Syndrome in Chronic Heart Failure: A Scientific Statement from the American Heart As-sociation. Circulation, 134, e535-e578. [Google Scholar] [CrossRef
[9] Mottillo, S., Filion, K.B., Genest, J., Joseph, L., Pilote, L., Poirier, P., Rinfret, S., Schiffrin, E.L. and Eisenberg, M.J. (2010) The Metabolic Syndrome and Cardiovascular Risk a Systematic Review and Meta-Analysis. Journal of the American College of Cardiology, 56, 1113-1132. [Google Scholar] [CrossRef] [PubMed]
[10] Myers, J., Kokkinos, P. and Nyelin, E. (2019) Physical Activity, Cardiorespiratory Fitness, and the Metabolic Syndrome. Nutrients, 11, Article No. 1652. [Google Scholar] [CrossRef] [PubMed]
[11] Doughty, K.N., Del Pilar, N.X., Audette, A. and Katz, D.L. (2017) Life-style Medicine and the Management of Cardiovascular Disease. Current Cardiology Reports, 19, Article No. 116. [Google Scholar] [CrossRef] [PubMed]
[12] Kushner, R.F. and Sorensen, K.W. (2013) Lifestyle Medicine: The Future of Chronic Disease Management. Current Opinion in Endocrinology, Diabetes and Obesity, 20, 389-395. [Google Scholar] [CrossRef] [PubMed]
[13] Kelly, J.T., Su, G., Zhang, L., Qin, X., Marshall, S., Gonzalez-Ortiz, A., Clase, C.M., et al. (2021) Modifiable Lifestyle Factors for Primary Prevention of CKD: A Systemat-ic Review and Meta-Analysis. Journal of the American Society of Nephrology, 32, 239-253. [Google Scholar] [CrossRef
[14] Li, Y., Schoufour, J., Wang, D.D., Dhana, K., Pan, A., Liu, X., Song, M., Liu, G., Shin, H.J., Sun, Q., et al. (2020) Healthy Lifestyle and Life Expectancy Free of Cancer, Cardiovascu-lar Disease, and Type 2 Diabetes: Prospective Cohort Study. BMJ, 368, l6669. [Google Scholar] [CrossRef] [PubMed]
[15] Zhang, Y.B., Chen, C., Pan, X.F., Guo, J., Li, Y., Franco, O.H., Liu, G. and Pan, A. (2021) Associations of Healthy Lifestyle and Socioeconomic Status with Mortality and Incident Cardiovas-cular Disease: Two Prospective Cohort Studies. BMJ, 373, n604. [Google Scholar] [CrossRef] [PubMed]
[16] Han, H., Cao, Y., Feng, C., Zheng, Y., Dhana, K., Zhu, S., Shang, C., Yuan, C. and Zong, G. (2022) Association of a Healthy Lifestyle with All-Cause and Cause-Specific Mortality among Individuals with Type 2 Diabetes: A Prospective Study in UK Biobank. Diabetes Care, 45, 319-329. [Google Scholar] [CrossRef] [PubMed]
[17] Livingstone, K.M., Abbott, G., Ward, J. and Bowe, S.J. (2021) Unhealthy Lifestyle, Genetics and Risk of Cardiovascular Disease and Mortality in 76,958 Individuals from the UK Biobank Cohort Study. Nutrients, 13, Article No. 4283. [Google Scholar] [CrossRef] [PubMed]
[18] Ford, E.S., Zhao, G., Tsai, J. and Li, C. (2011) Low-Risk Lifestyle Be-haviors and All-Cause Mortality: Findings from the National Health and Nutrition Examination Survey III Mortality Study. American Journal of Public Health, 101, 1922-1929. [Google Scholar] [CrossRef
[19] Wang, B., Wang, N., Sun, Y., Tan, X., Zhang, J. and Lu, Y. (2022) Association of Combined Healthy Lifestyle Factors with Incident Dementia in Patients with Type 2 Diabetes. Neurology, 99, e2336-e2345. [Google Scholar] [CrossRef
[20] Khera, A.V., Emdin, C.A., Drake, I., Natarajan, P., Bick, A.G., Cook, N.R., Chasman, D.I., Baber, U., Mehran, R., Rader, D.J., et al. (2016) Genetic Risk, Adherence to a Healthy Lifestyle, and Coronary Disease. The New England Journal of Medicine, 375, 2349-2358. [Google Scholar] [CrossRef
[21] Song, Z., Yang, R., Wang, W., Huang, N., Zhuang, Z., Han, Y., Qi, L., Xu, M., Tang, Y.D. and Huang, T. (2021) Association of Healthy Lifestyle Including a Healthy Sleep Pattern with Incident Type 2 Diabetes Mellitus among Individuals with Hypertension. Cardiovascular Diabetology, 20, Article No. 239. [Google Scholar] [CrossRef] [PubMed]
[22] Arnett, D.K., Blumenthal, R.S., Albert, M.A., Buroker, A.B., Goldberger, Z.D., Hahn, E.J., Himmelfarb, C.D., Khera, A., et al. (2019) 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation, 140, e563-e595. [Google Scholar] [CrossRef
[23] Zhou, T., Yuan, Y., Xue, Q., Li, X., Wang, M., Ma, H., Heianza, Y. and Qi, L. (2022) Adherence to a Healthy Sleep Pattern Is Associated with Lower Risks of All-Cause, Car-diovascular and Cancer-Specific Mortality. Journal of Internal Medicine, 291, 64-71. [Google Scholar] [CrossRef] [PubMed]
[24] Kelly, N.A., Soroka, O., Onyebeke, C., Pinheiro, L.C., Banerjee, S., Saf-ford, M.M. and Goyal, P. (2022) Association of Healthy Lifestyle and All-Cause Mortality According to Medication Burden. Journal of the American Geriatrics Society, 70, 415-428. [Google Scholar] [CrossRef] [PubMed]
[25] Krebs-Smith, S.M., Pannucci, T.E., Subar, A.F., Kirkpatrick, S.I., Lerman, J.L., Tooze, J.A., Wilson, M.M. and Reedy, J. (2018) Update of the Healthy Eating Index: HEI-2015. Journal of the Academy of Nutrition and Dietetics, 118, 1591-1602. [Google Scholar] [CrossRef] [PubMed]
[26] Chen, F., Du, M., Blumberg, J.B., Ho Chui, K.K., Ruan, M., Rogers, G., Shan, Z., Zeng, L. and Zhang, F.F. (2019) Association among Dietary Supplement Use, Nutrient Intake, and Mortality among U.S. Adults: A Cohort Study. Annals of Internal Medicine, 170, 604-613. [Google Scholar] [CrossRef
[27] Chudasama, Y.V., Khunti, K., Gillies, C.L., Dhalwani, N.N., Davies, M.J., Yates, T. and Zaccardi, F. (2020) Healthy Lifestyle and Life Expectancy in People with Multimorbidity in the UK Biobank: A Longitudinal Cohort Study. PLOS Medicine, 17, e1003332. [Google Scholar] [CrossRef] [PubMed]
[28] Wu, D., Gao, X., Shi, Y., Wang, H., Wang, W., Li, Y. and Zheng, Z. (2022) Association between Handgrip Strength and the Systemic Immune-Inflammation Index: A Nationwide Study, NHANES 2011-2014. International Journal of Environmental Research and Public Health, 19, Article No. 13616. [Google Scholar] [CrossRef] [PubMed]
[29] Rahman, E.U., Chobufo, M.D., Farah, F., Mohamed, T., El-hamdani, M., Rueda, C., Aronow, W.S., Fonarow, G.C. and Thompson, E. (2022) Prevalence and Temporal Trends of Anemia in Patients with Heart Failure. QJM, 115, 437-441. [Google Scholar] [CrossRef] [PubMed]
[30] Rutten-Jacobs, L.C., Larsson, S.C., Malik, R., Rannikmae, K., et al. (2018) Genetic Risk, Incident Stroke, and the Benefits of Adhering to a Healthy Lifestyle: Cohort Study of 306 473 UK Biobank Participants. BMJ, 363, k4168. [Google Scholar] [CrossRef] [PubMed]
[31] Dhana, K., Evans, D.A., Rajan, K.B., Bennett, D.A. and Morris, M.C. (2020) Healthy Lifestyle and the Risk of Alzheimer Dementia: Findings from 2 Longitudinal Studies. Neurology, 95, e374-e383. [Google Scholar] [CrossRef
[32] Lourida, I., Hannon, E., Littlejohns, T.J., Langa, K.M., Hypponen, E., Kuzma, E. and Llewellyn, D.J. (2019) Association of Lifestyle and Genetic Risk with Incidence of De-mentia. JAMA, 322, 430-437. [Google Scholar] [CrossRef] [PubMed]
[33] Jia, J., Zhao, T., Liu, Z., Liang, Y., Li, F., Li, Y., Liu, W., Li, F., Shi, S., Zhou, C., et al. (2023) Association between Healthy Lifestyle and Memory Decline in Older Adults: 10 Year, Popula-tion Based, Prospective Cohort Study. BMJ, 380, e072691. [Google Scholar] [CrossRef] [PubMed]
[34] Fan, M., Sun, D., Zhou, T., Heianza, Y., Lv, J., Li, L. and Qi, L. (2020) Sleep Patterns, Genetic Susceptibility, and Incident Car-diovascular Disease: A Prospective Study of 385,292 UK Biobank Participants. European Heart Journal, 41, 1182-1189. [Google Scholar] [CrossRef] [PubMed]
[35] Song, Q., Wang, M., Zhou, T., Sun, D., Ma, H., Li, X., Heianza, Y. and Qi, L. (2022) The Lifestyle-Related Cardiovascular Risk Is Modified by Sleep Patterns. Mayo Clinic Proceedings, 97, 519-530. [Google Scholar] [CrossRef] [PubMed]
[36] Ekelund, U., Tarp, J., Steene-Johannessen, J., Hansen, B.H., Jefferis, B., Fagerland, M.W., et al. (2019) Dose-Response Associations between Accelerometry Measured Physical Ac-tivity and Sedentary Time and All Cause Mortality: Systematic Review and Harmonised Meta-Analysis. BMJ, 366, l4570. [Google Scholar] [CrossRef] [PubMed]
[37] Stamatakis, E., Gale, J., Bauman, A., Ekelund, U., Hamer, M. and Ding, D. (2019) Sitting Time, Physical Activity, and Risk of Mortality in Adults. Journal of the American College of Cardiology, 73, 2062-2072. [Google Scholar] [CrossRef] [PubMed]
[38] Karamzad, N., Izadi, N., Sanaie, S., Ahmadian, E., Eftekhari, A., Sullman, M.J.M. and Safiri, S. (2020) Asthma and Metabolic Syndrome: A Comprehensive Systematic Review and Me-ta-Analysis of Observational Studies. Journal of Cardiovascular and Thoracic Research, 12, 120-128. [Google Scholar] [CrossRef] [PubMed]
[39] Safaei, M., Sundararajan, E.A., Driss, M., Boulila, W. and Shapi’i, A. (2021) A Systematic Literature Review on Obesity: Understanding the Causes & Consequences of Obesity and Review-ing Various Machine Learning Approaches Used to Predict Obesity. Computers in Biology and Medicine, 136, Article ID: 104754. [Google Scholar] [CrossRef] [PubMed]
[40] Goodarzi, M.O. (2018) Genetics of Obesity: What Genet-ic Association Studies Have Taught Us about the Biology of Obesity and Its Complications. The Lancet Diabetes & En-docrinology, 6, 223-236. [Google Scholar] [CrossRef
[41] American Diabetes Association (2020) Standards of Medical Care in Diabetes-2020 Abridged for Primary Care Providers. Clinical Diabetes, 38, 10-38. [Google Scholar] [CrossRef] [PubMed]
[42] O’Doherty, M.G., Cairns, K., O’Neill, V., Lamrock, F., Jorgensen, T., Brenner, H., Schottker, B., Wilsgaard, T., Siganos, G., Kuulasmaa, K., et al. (2016) Effect of Major Lifestyle Risk Fac-tors, Independent and Jointly, on Life Expectancy with and without Cardiovascular Disease: Results from the Consortium on Health and Ageing Network of Cohorts in Europe and the United States (CHANCES). European Journal of Epide-miology, 31, 455-468. [Google Scholar] [CrossRef] [PubMed]