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저체중 노인의 추정 심폐체력과 모든 원인 사망과의 연관성

Association between Estimated Cardiorespiratory Fitness and All-cause Mortality in Underweight Older Adults

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참고문헌

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초록

PURPOSE: This study investigated the association between estimated cardiorespiratory fitness (eCRF) and all-cause mortality in underweight older adults. METHODS: Data from the 2006 Korean longitudinal study of aging (KLoSA) involving 348 study participants aged 60 years and older (58.0% women) was analyzed in this study. CRF was estimated with sex- and age-specific algorithms developed by the fitness registry and the importance of exercise national database (FRIEND). Participants were classified into lowest 25% (Q1), lower 25% (Q2), middle 25% (Q3), and highest 25% (Q4) on the basis of individual eCRF distributions. Cox proportional hazards regression was used to calculate hazard ratio (HR) and 95% confidence interval (CI) according to eCRF levels. RESULTS: During 7.8±3.2-year follow-up period, a total of 175 deaths occurred from all causes. Cox regression analysis showed that HR of all-cause mortality was 0.686 (95% CI, 0.474-0.991, p=.045) for Q2, 0.382 (95% CI, 0.253-0.575, p<.001) for Q3, and 0.248 (95% CI, 0.155-0.397, p<.001) for Q4 compared to Q1 as reference (HR=1). The HR of Q4 for all-cause mortality remained significant even after adjustments for covariates, including age and marital status. CONCLUSIONS: The current findings suggest that high eCRF is associated with a decreased risk of all-cause mortality in underweight older adults.

Abstract

PURPOSE: This study investigated the association between estimated cardiorespiratory fitness (eCRF) and all-cause mortality in underweight older adults. METHODS: Data from the 2006 Korean longitudinal study of aging (KLoSA) involving 348 study participants aged 60 years and older (58.0% women) was analyzed in this study. CRF was estimated with sex- and age-specific algorithms developed by the fitness registry and the importance of exercise national database (FRIEND). Participants were classified into lowest 25% (Q1), lower 25% (Q2), middle 25% (Q3), and highest 25% (Q4) on the basis of individual eCRF distributions. Cox proportional hazards regression was used to calculate hazard ratio (HR) and 95% confidence interval (CI) according to eCRF levels. RESULTS: During 7.8±3.2-year follow-up period, a total of 175 deaths occurred from all causes. Cox regression analysis showed that HR of all-cause mortality was 0.686 (95% CI, 0.474-0.991, p=.045) for Q2, 0.382 (95% CI, 0.253-0.575, p<.001) for Q3, and 0.248 (95% CI, 0.155-0.397, p<.001) for Q4 compared to Q1 as reference (HR=1). The HR of Q4 for all-cause mortality remained significant even after adjustments for covariates, including age and marital status. CONCLUSIONS: The current findings suggest that high eCRF is associated with a decreased risk of all-cause mortality in underweight older adults.

참고문헌 (40)

  1. Statistics Korea, "2019 statistics of elderly", Statistics Korea, 21~25 (2019)
  2. 이시은, "한국 지역사회 거주 노인의 영양관련 요인이 사망위험에 미치는 영향", 디지털융복합연구, 16(10), pp.343~350 (2018), 한국디지털정책학회[DOI]
  3. WHO, "Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies", Lancet, 363(9403), pp.157~163 (2004)
  4. Tanaka S, "Overweight", obesity and underweight are both risk factors for osteoporotic fractures at different sites in Japanese postmenopausal women, 2013, pp.24(1), 69~76
  5. Kim S, "Body Mass Index and Decline of Cognitive Function", PLoS One, 11(2), pp.e0148908~ (2016)
  6. Minagawa Y, "The Role of Underweight in Active Life Expectancy among Older Adults in Japan", J Gerontol B Psychol Sci Soc Sci, pp.gbaa013~ (2020)
  7. Wu CY, "Association of body mass index with all-cause and cardiovascular disease mortality in the elderly", PLoS One, 9(7), pp.e102589~ (2014)
  8. Mamhidir AG, "Underweight, weight loss and related risk factors among older adults in sheltered housing--a Swedish follow-up study", J Nutr Health Aging, (4), pp.255~262 (2006)
  9. Gupta A, "Prevalence and risk factors of underweight, overweight and obesity among a geriatric population living in a high-altitude region of rural Uttarakhand, India", Public Health Nutr, 21(10), pp.1904~1911 (2018)
  10. Yerrakalva D, "The associations of"fatness, ""fitness, "and physical activity with all-cause mortality in older adults : A systematic review", Obesity(Silver Spring), 23(10), pp.1944~1956 (2015)
  11. Woo J, "BMI, body composition, and physical functioning in older adults", Obesity(Silver Spring), 15(7), pp.1886~1894 (2007)
  12. Blair SN, "Changes in physical fitness and all-cause mortality. A prospective study of healthy and unhealthy men", JAMA, 273(14), pp.1093~1098 (1995)
  13. Lee DC, "Mortality trends in the general population: the importance of cardiorespiratory fitness", J Psychopharmacol, 24(4), pp.27~35 (2010)
  14. Lin X, "Effects of exercise training on cardiorespiratory fitness and biomarkers of cardiometabolic health: A systematic review and meta-analysis of randomized controlled trials", J Am Heart Assoc, 4(7), pp.e002014~ (2015)
  15. Zeiher J, "Individual and interpersonal correlates of cardiorespiratory fitness in adults-Findings from the German Health Interview and Examination Survey", Sci Rep, 10(1), pp.445~ (2020)
  16. Imboden MT, "Cardiorespiratory fitness and mortality in healthy men and women", J Am Coll Cardiol, 72(19), pp.2283~2292 (2018)
  17. McAuley PA, "Obesity paradox and cardiorespiratory fitness in 12, 417 male veterans aged 40 to 70 years", Mayo Clin Proc, 85(2), pp.115~121 (2010)
  18. Greening NJ, "Does body mass index influence the outcomes of a Waking-based pulmonary rehabilitation programme in COPD?", Chron Respir Dis, 9(2), pp.99~106 (2012)
  19. Jensen MT, "Cardiorespiratory fitness and death from cancer: a 42-year follow-up from the Copenhagen Male Study", Br J Sports Med, 51(18), pp.1364~1369 (2017)
  20. Gupta S, "Cardiorespiratory fitness and classification of risk of cardiovascular disease mortality", Circulation, 123(13), pp.1377~1383 (2011)
  21. Nes BM, "Estimating VO2peak from a non-exercise prediction model; The HUNT Study", Med Sci Sports Exerc, 43(11), pp.2024~2030 (2011)
  22. Schembre SM, "Non-exercise estimation of VO(2)max using the international physical activity questionnaire", Meas Phys Educ Exerc Sci, 15(3), pp.168~181 (2011)
  23. Martinez-Gomez D, "Nonexercise cardiorespiratory fitness and mortality in older adults", Med Sci Sports Exerc, 47(3), pp.568~574 (2015)
  24. Stamatakis E, "A non-exercise testing method for estimating cardiorespiratory fitness : associations with all-cause and cardiovascular mortality in a pooled analysis of eight population-based cohorts", Eur Heart J, 34(10), pp.750~758 (2013)
  25. Korean Society for the Study of Obesity, "Obesity treatment guidelines 2014", Korean society for the study of obesity, 21~28 (2014)
  26. Myers J, "A Reference Equation for Normal Standards for VO2 Max : Analysis from the Fitness Registry and the Importance of Exercise National Database(FRIEND Registry)", Prog Cardiovasc Dis, 60(1), pp.21~29 (2017)
  27. Centers for Disease Control and Prevention (CDC), "Cigarette smoking among adults--United States, 1992, and changes in the definition of current cigarette smoking", (MMWR) Morb Mortal Wkly Rep, 43(19), pp.342~346 (1994)
  28. Xi B, "Relationship of Alcohol Consumption to All-Cause, Cardiovascular, and Cancer-Related Mortality in U.S. Adults", J Am Coll Cardiol, 70(8), pp.913~922 (2017)
  29. Kang YW, "A validity study on the korean minimental state examination (K-MMSE) in dementia patients", J Korean Neurol Assoc, 15(2), pp.300~308 (1997)
  30. Cho MJ, "Diagnostic Validity of the CES-D(Korean Version)in the Assessment of DSM-III-R Major Depression", J Korean Neuropsychiatr Assoc, 32(3), pp.381~399 (1993)
  31. Won CW, "The Development of Korean Activities of Daily Living (K-ADL) and Korean Instrumental Activities of Daily Living (K-IADL) Scale", Ann Geriatr Med Res, 6(2), pp.107~120 (2002)
  32. Boots EA, "Cardiorespiratory fitness is associated with brain structure, cognition, and mood in a middle-aged cohort at risk for Alzheimer’s disease", Brain Imaging Behav, 9(3), pp.639~649 (2015)
  33. Zhang Y, "Nonexercise Estimated Cardiorespiratory Fitness and Mortality Due to All Causes and Cardiovascular Disease : The NHANES III Study", Mayo Clin Proc Innov Qual Outcomes, 1(1), pp.16~25 (2017)
  34. Lee Y, "Frailty and body mass index as predictors of 3-year mortality in older adults living in the community", Gerontology, 60(6), pp.475~482 (2014)
  35. McAuley P, "Fitness and fatness as mortality predictors in healthy older men : the veterans exercise testing study", J Gerontol A Biol Sci Med Sci, 64(6), pp.695~699 (2009)
  36. Zaccardi F, "Comparative Relevance of Physical Fitness and Adiposity on Life Expectancy : A UK Biobank Observational Study", Mayo Clin Proc, 94(6), pp.985~994 (2019)
  37. Al Snih S, "Handgrip strength and mortality in older Mexican Americans", J Am Geriatr Soc, 50(7), pp.1250~1256 (2002)
  38. Lee DC, "Long-term effects of changes in cardiorespiratory fitness and body mass index on all-cause and cardiovascular disease mortality in men : the Aerobics Center Longitudinal Study", Circulation, 124(23), pp.2483~2490 (2011)
  39. Woo J, "Fitness, fatness and survival in elderly populations", Age(Dordr), 35(3), pp.973~984 (2013)
  40. Schupf N, "Decline in cognitive and functional skills increases mortality risk in nondemented elderly", Neurology, 65(8), pp.1218~1226 (2005)

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