Prospective association of daily ambulatory activity with metabolic syndrome in middle-aged and older Japanese adults: the Toon Health Study

Cornier MA, Dabelea D, Hernandez TL, Lindstrom RC, Steig AJ, Stob NR, et al. The metabolic syndrome. Endocr Rev. 2008;29:777–822.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Saklayen MG. The Global Epidemic of the Metabolic Syndrome. Curr Hypertens Rep. 2018;20:12.

Article  PubMed  PubMed Central  Google Scholar 

Ranasinghe P, Mathangasinghe Y, Jayawardena R, Hills AP, Misra A. Prevalence and trends of metabolic syndrome among adults in the Asia-Pacific region: a systematic review. BMC Public Health. 2017;17:101.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zhang D, Liu X, Liu Y, Sun X, Wang B, Ren Y, et al. Leisure-time physical activity and incident metabolic syndrome: a systematic review and dose-response meta-analysis of cohort studies. Metabolism. 2017;75:36–44.

Article  CAS  PubMed  Google Scholar 

Amirfaiz S, Shahril MR. Objectively measured physical activity, sedentary behavior, and metabolic syndrome in adults: systematic review of observational evidence. Metab Syndr Relat Disord. 2019;17:1–21.

Article  PubMed  Google Scholar 

Wu J, Zhang H, Yang L, Shao J, Chen D, Cui N, et al. Sedentary time and the risk of metabolic syndrome: a systematic review and dose-response meta-analysis. Obes Rev. 2022;23:e13510.

Article  PubMed  Google Scholar 

Bijnen FC, Feskens EJ, Caspersen CJ, Mosterd WL, Kromhout D. Age, period, and cohort effects on physical activity among elderly men during 10 years of follow-up: the Zutphen Elderly Study. J Gerontol A Biol Sci Med Sci. 1998;53:M235–241.

Article  CAS  PubMed  Google Scholar 

Tanaka C, Fujiwara Y, Sakurai R, Fukaya T, Yasunaga M, Tanaka S. Locomotive and non-locomotive activities evaluated with a triaxial accelerometer in adults and elderly individuals. Aging Clin Exp Res. 2013;25:637–43.

Article  PubMed  Google Scholar 

National Health Service. Walking for health. https://www.nhs.uk/Live-well/exercise/running-and-aerobic-exercises/walking-for-health/. Accessed 18 Jan 2024.

Ara I, Aparicio-Ugarriza R, Morales-Barco D, Nascimento de Souza W, Mata E, González-Gross M. Physical activity assessment in the general population; validated self-report methods. Nutr Hosp. 2015;31:211–218.

PubMed  Google Scholar 

Kraus WE, Janz KF, Powell KE, Campbell WW, Jakicic JM, Troiano RP, et al. 2018 Physical Activity Guidelines Advisory Committee. Daily step counts for measuring physical activity exposure and its relation to health. Med Sci Sports Exerc. 2019;51:1206–12.

Article  PubMed  PubMed Central  Google Scholar 

Hall KS, Hyde ET, Bassett DR, Carlson SA, Carnethon MR, Ekelund U, et al. Systematic review of the prospective association of daily step counts with risk of mortality, cardiovascular disease, and dysglycemia. Int J Behav Nutr Phys Act. 2020;17:78.

Article  PubMed  PubMed Central  Google Scholar 

Paluch AE, Bajpai S, Bassett DR, Carnethon MR, Ekelund U, Evenson KR, et al. Steps for health collaborative. Daily steps and all-cause mortality: a meta-analysis of 15 international cohorts. Lancet Public Health. 2022;7:e219–e228.

Article  PubMed  PubMed Central  Google Scholar 

Paluch AE, Bajpai S, Ballin M, Bassett DR, Buford TW, Carnethon MR, et al. Steps for health collaborative. Prospective association of daily steps with cardiovascular disease: a harmonized meta-analysis. Circulation. 2023;147:122–31.

Article  PubMed  Google Scholar 

Saito I, Maruyama K, Kato T, Takata Y, Tomooka K, Kawamura R, et al. Role of insulin resistance in the association between resting heart rate and type 2 diabetes: a prospective study. J Diabetes Complic. 2022;36:108319.

Article  CAS  Google Scholar 

Kumahara H, Schutz Y, Ayabe M, Yoshioka M, Yoshitake Y, Shindo M, et al. The use of uniaxial accelerometry for the assessment of physical-activity-related energy expenditure: a validation study against whole-body indirect calorimetry. Br J Nutr. 2004;91:235–43.

Article  CAS  PubMed  Google Scholar 

Crouter SE, Schneider PL, Karabulut M, Bassett DR Jr. Validity of 10 electronic pedometers for measuring steps, distance, and energy cost. Med Sci Sports Exerc. 2003;35:1455–60.

Article  PubMed  Google Scholar 

Schneider PL, Crouter S, Bassett DR. Pedometer measures of free-living physical activity: comparison of 13 models. Med Sci Sports Exerc. 2004;36:331–5.

Article  PubMed  Google Scholar 

Nishida Y, Higaki Y, Taguchi N, Hara M, Nakamura K, Nanri H, et al. Intensity-specific and modified effects of physical activity on serum adiponectin in a middle-aged population. J Endocr Soc. 2018;3:13–26.

Article  PubMed  PubMed Central  Google Scholar 

Yamamoto N, Maruyama K, Saito I, Tomooka K, Tanigawa T, Kawamura K, et al. Latent profile analysis approach to the relationship between daily ambulatory activity patterns and metabolic syndrome in middle-aged and elderly Japanese individuals: the Toon Health Study. Environ Health Prev Med. 2023;28:57.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ishikawa-Takata K, Naito Y, Tanaka S, Ebine N, Tabata I. Use of doubly labeled water to validate a physical activity questionnaire developed for the Japanese population. J Epidemiol. 2011;21:114–21.

Article  PubMed  PubMed Central  Google Scholar 

Honda T, Chen S, Kishimoto H, Narazaki K, Kumagai S. Identifying associations between sedentary time and cardio-metabolic risk factors in working adults using objective and subjective measures: a cross-sectional analysis. BMC Public Health. 2014;14:1307.

Article  PubMed  PubMed Central  Google Scholar 

Matsuzawa Y. Committee to evaluate diagnostic standards for metabolic syndrome definition and the diagnostic standard for metabolic syndrome. Nihon Naika Gakkai Zasshi. 2005;94:794–809.

Yamagishi K, Iso H. The criteria for metabolic syndrome and the national health screening and education system in Japan. Epidemiol Health. 2017;39:e2017003.

Article  PubMed  PubMed Central  Google Scholar 

Kim J, Tanabe K, Yokoyama N, Zempo H, Kuno S. Association between physical activity and metabolic syndrome in middle-aged Japanese: a cross-sectional study. BMC Public Health. 2011;11:624.

Article  PubMed  PubMed Central  Google Scholar 

Kudo N, Nishide R, Mizutani M, Ogawa S, Tanimura S. Association between the type of physical activity and metabolic syndrome in middle-aged and older adult residents of a semi-mountainous area in Japan. Environ Health Prev Med. 2021;26:46.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Takahashi K, Yoshimura Y, Amimoto T, Kunii D, Komatsu T, Yamamoto S. Validation of food frequency questionnaire based on food groups for estimating individual nutrient intake. Jpn J Nutr. 2001;59:221–32. (in Japanese)

Article  Google Scholar 

Report of the Subdivision on Resources the Council for Science and Technology Ministry of Education, Culture, Sports, Science and Technology, Japan. Standard Tables of Food Composition in Japan 2010. http://www.mext.go.jp/b_menu/shingi/gijyutu/gijyutu3/houkoku/1298713.htm. Accessed 18 Jan 2024.

Lee IM, Shiroma EJ, Kamada M, Bassett DR, Matthews CE, Buring JE. Association of step volume and intensity with all-cause mortality in older women. JAMA Intern Med. 2019;179:1105–12.

Article  PubMed  PubMed Central  Google Scholar 

Amagasa S, Machida M, Fukushima N, Kikuchi H, Takamiya T, Odagiri Y, et al. Is objectively measured light-intensity physical activity associated with health outcomes after adjustment for moderate-to-vigorous physical activity in adults? A systematic review. Int J Behav Nutr Phys Act. 2018;15:65.

Article  PubMed  PubMed Central  Google Scholar 

Lindsay T, Wijndaele K, Westgate K, Dempsey P, Strain T, De Lucia Rolfe E, et al. Joint associations between objectively measured physical activity volume and intensity with body fatness: the Fenland study. Int J Obes. 2022;46:169–77.

Article  Google Scholar 

Whitaker KM, Pettee Gabriel K, Buman MP, Pereira MA, Jacobs DR Jr, Reis JP, et al. Associations of accelerometer-measured sedentary time and physical activity with prospectively assessed cardiometabolic risk factors: the CARDIA study. J Am Heart Assoc. 2019;8:e010212.

Article  PubMed  PubMed Central  Google Scholar 

Amagasa S, Fukushima N, Kikuchi H, Oka K, Chastin S, Tudor-Locke C, et al. Older adults daily step counts and time in sedentary behavior and different intensities of physical activity. J Epidemiol. 2021;31:350–5.

Article  PubMed  PubMed Central  Google Scholar 

Master H, Annis J, Huang S, Beckman JA, Ratsimbazafy F, Marginean K, et al. Association of step counts over time with the risk of chronic disease in the All of US Research Program. Nat Med. 2022;28:2301–8.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ponsonby AL, Sun C, Ukoumunne OC, Pezic A, Venn A, Shaw JE, et al. Objectively measured physical activity and the subsequent risk of incident dysglycemia: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Diabetes Care. 2011;34:1497–502.

Article  PubMed  PubMed Central  Google Scholar 

Kraus WE, Yates T, Tuomilehto J, Sun JL, Thomas L, McMurray JJV, et al. Relationship between baseline physical activity assessed by pedometer count and new-onset diabetes in the NAVIGATOR trial. BMJ Open Diabetes Res Care. 2018;6:e000523.

Article  PubMed  PubMed Central  Google Scholar 

Ballin M, Nordström P, Niklasson J, Alamäki A, Condell J, Tedesco S, et al. Daily step count and incident diabetes in community-dwelling 70-year-olds: a prospective cohort study. BMC Public Health. 2020;20:1830.

Article  PubMed  PubMed Central  Google Scholar 

Garduno AC, LaCroix AZ, LaMonte MJ, Dunstan DW, Evenson KR, Wang G, et al. Associations of daily steps and step intensity with incident diabetes in a prospective cohort study of older women: The OPACH Study. Diabetes Care. 2022;45:339–47.

Article  PubMed 

留言 (0)

沒有登入
gif