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Vasilopoulos T, Drozda D, Vincent HK. Physical activity positively impacts disability outcomes during transition from midlife to early older age irrespective of body mass index. Arch Gerontol Geriatr 2024; 120:105339. [PMID: 38340391 DOI: 10.1016/j.archger.2024.105339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 01/17/2024] [Accepted: 01/20/2024] [Indexed: 02/12/2024]
Abstract
We examined the effects of physical activity (PA) and body mass index (BMI) longitudinal patterns (trajectories) on subjective measures of mobility, function, and disability in adults and assessed whether effects of PA trajectories on function varied due to BMI. Group-based trajectory analyses were used to determine patterns of change in PA and BMI using data from the Health and Retirement Study 1931-1941 birth cohort (n = 10,507). Physical function was assessed by Mobility Limitations (0-5 scale) and Large Muscle Function (0-4 scale) Indexes, as well as with score for activities of daily living (ADLs) and instrumental activities of daily living (IADLs), with higher scores being worse. Our analyses estimated four distinct PA trajectories: decreasing, (2) fluctuating, (3) stable high, and (4) emergent (previously low/sedentary with increased PA over the study period). Worse mobility limitations, large muscle function, ADLs, and IADLs were associated with Decreasing and Fluctuating PA groups. Better outcomes were associated with Emergent and Stable High PA groups. The five BMI trajectories were stable normal/overweight, modest decreasing, fluctuating, steep decreasing, and increasing. No significant interaction existed between PA and BMI trajectories for Mobility Limitations (P= 0.577), Large Muscle Function (P= 0.511), ADLs (P= 0.600), and IADLs (P= 0.152). These findings may empower clinicians to promote messages to midlifers that meaningful changes in PA can improve function in older age.
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Affiliation(s)
- Terrie Vasilopoulos
- Department of Anesthesiology, College of Medicine, University of Florida, Gainesville, FL 32610, USA; Department of Orthopaedic Surgery and Sports Medicine, College of Medicine, University of Florida, Gainesville, FL 32611, USA.
| | - David Drozda
- Department of Physical Medicine and Rehabilitation, College of Medicine, University of Florida, Gainesville, FL 32611, USA
| | - Heather K Vincent
- Department of Physical Medicine and Rehabilitation, College of Medicine, University of Florida, Gainesville, FL 32611, USA
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Puzianowska-Kuznicka M, Kurylowicz A, Wierucki L, Owczarek AJ, Jagiello K, Mossakowska M, Zdrojewski T, Chudek J. Obesity in Caucasian Seniors on the Rise: Is It Truly Harmful? Results of the PolSenior2 Study. Nutrients 2022; 14:4621. [PMID: 36364882 PMCID: PMC9658066 DOI: 10.3390/nu14214621] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 10/24/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022] Open
Abstract
Obesity is associated with an increased risk of morbidity and mortality; however, data suggest that in old age, obesity is not detrimental. The study’s objective was to verify whether obesity frequency still increases in Polish Caucasian seniors and to verify the “obesity paradox”. Five thousand and fifty-seven community-dwelling individuals aged ≥ 65 years completed a detailed medical questionnaire, underwent measurements of the body mass index (BMI) and the waist circumference (WC), and an evaluation of physical and cognitive performances. Over a decade, general obesity increased by 2.1%, mostly due to a 3.9% increase in men. Abdominal obesity increased by 1.0%, mainly due to males, in whom it increased by 3.9%. Obesity increased the risk of several aging-related diseases, but this effect was less pronounced in the oldest-old. Obesity did not adversely affect the physical and cognitive functioning or mortality. Through a multivariable analysis, the BMI and WC remained the independent predictors of the Katz Activities of Daily Living score (p < 0.001 and p < 0.05, respectively) and Mini-Mental State Examination score (both p < 0.001). The Kaplan−Meier survival curves revealed that overweight and obesity classes 1 and 2 were associated with the lowest mortality. Through a multivariable analysis, overweight, class 1 obesity, and abdominal obesity remained the independent predictors of a decreased mortality (all p < 0.001). In conclusion, we found that overweight and obesity are not detrimental in seniors, including the oldest-old. We suggest that the anthropometric values defining obesity should be modified for age-advanced people.
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Affiliation(s)
- Monika Puzianowska-Kuznicka
- Department of Human Epigenetics, Mossakowski Medical Research Institute, 02-106 Warsaw, Poland
- Department of Geriatrics and Gerontology, Medical Centre of Postgraduate Education, 01-813 Warsaw, Poland
| | - Alina Kurylowicz
- Department of Human Epigenetics, Mossakowski Medical Research Institute, 02-106 Warsaw, Poland
- Department of General Medicine and Geriatric Cardiology, Medical Centre of Postgraduate Education, 01-813 Warsaw, Poland
| | - Lukasz Wierucki
- Division of Preventive Medicine and Education, Medical University of Gdansk, 80-211 Gdansk, Poland
| | | | - Kacper Jagiello
- Division of Preventive Medicine and Education, Medical University of Gdansk, 80-211 Gdansk, Poland
| | - Malgorzata Mossakowska
- Study on Ageing and Longevity, International Institute of Cell and Molecular Biology, 02-109 Warsaw, Poland
| | - Tomasz Zdrojewski
- Division of Preventive Medicine and Education, Medical University of Gdansk, 80-211 Gdansk, Poland
| | - Jerzy Chudek
- Department of Internal Diseases and Oncological Chemotherapy, Medical University of Silesia, 40-027 Katowice, Poland
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Dose–response relationship between body mass index and risks of all-cause mortality and disability among the elderly: A systematic review and meta-analysis. Clin Nutr 2019; 38:1511-1523. [DOI: 10.1016/j.clnu.2018.07.021] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Accepted: 07/18/2018] [Indexed: 01/01/2023]
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Kulmala J, Ngandu T, Havulinna S, Levälahti E, Lehtisalo J, Solomon A, Antikainen R, Laatikainen T, Pippola P, Peltonen M, Rauramaa R, Soininen H, Strandberg T, Tuomilehto J, Kivipelto M. The Effect of Multidomain Lifestyle Intervention on Daily Functioning in Older People. J Am Geriatr Soc 2019; 67:1138-1144. [PMID: 30809801 DOI: 10.1111/jgs.15837] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 01/25/2019] [Accepted: 01/25/2019] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To investigate the effect of a 2-year multidomain lifestyle intervention on daily functioning of older people. DESIGN A 2-year randomized controlled trial (ClinicalTrials.gov, NCT01041989). SETTING Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability. PARTICIPANTS A total of 1260 older adults, with a mean age of 69 years at the baseline, who were at risk of cognitive decline. INTERVENTION A multidomain intervention, including simultaneous physical activity intervention, nutritional counseling, vascular risk monitoring and management, and cognitive training and social activity. MEASUREMENTS The ability to perform daily activities (activities of daily living [ADLs] and instrumental ADLs) and physical performance (Short Physical Performance Battery). RESULTS The mean baseline ADL score was 18.1 (SD = 2.6) points; the scale ranges from 17 (no difficulties) to 85 (total ADL dependence). During the 2-year intervention, the ADL disability score slightly increased in the control group, while in the intervention group, it remained relatively stable. Based on the latent growth curve model, the difference in the change between the intervention and control groups was -0.95 (95% confidence interval [CI] = -1.61 to -0.28) after 1 year and -1.20 (95% CI = -2.02 to -0.38) after 2 years. In terms of physical performance, the intervention group had a slightly higher probability of improvement (from score 3 to score 4; P = .041) and a lower probability of decline (from score 3 to scores 0-2; P = .043) for chair rise compared to the control group. CONCLUSION A 2-year lifestyle intervention was able to maintain the daily functioning of the at-risk older population. The clinical significance of these results in this fairly well-functioning population remains uncertain, but the study results hold promise that healthy eating, exercise, and cognitive and social activity may have favorable effects on functional independence in older people.
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Affiliation(s)
- Jenni Kulmala
- Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland.,Division of Clinical Geriatrics, Center for Alzheimer Research, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden.,School of Health Care and Social Work, Seinäjoki University of Applied Sciences, Seinäjoki, Finland
| | - Tiia Ngandu
- Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland.,Division of Clinical Geriatrics, Center for Alzheimer Research, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden
| | - Satu Havulinna
- Ageing, Disability and Functioning Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Esko Levälahti
- Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Jenni Lehtisalo
- Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Alina Solomon
- Division of Clinical Geriatrics, Center for Alzheimer Research, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden.,Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland
| | - Riitta Antikainen
- Center for Life Course Health Research, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, Oulu University Hospital, Oulu, Finland.,Oulu City Hospital, Oulu, Finland
| | - Tiina Laatikainen
- Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland.,Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.,Joint Municipal Authority for North Karelia Social and Health Services (Siun Sote), Joensuu, Finland
| | | | - Markku Peltonen
- Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Rainer Rauramaa
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Hilkka Soininen
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland.,Neurocenter, Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Timo Strandberg
- Center for Life Course Health Research, University of Oulu, Oulu, Finland.,University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Jaakko Tuomilehto
- Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland.,National School of Public Health, Madrid, Spain
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden.,Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland.,Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.,Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College London, London, United Kingdom
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Chen N, Li X, Wang J, Zhou C, Wang C. Rural-urban differences in the association between disability and body mass index among the oldest-old in China. Arch Gerontol Geriatr 2018; 81:98-104. [PMID: 30529805 DOI: 10.1016/j.archger.2018.12.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2018] [Revised: 11/21/2018] [Accepted: 12/03/2018] [Indexed: 12/28/2022]
Abstract
INTRODUCTION The issue of disability prevention is considered as a priority for research in geriatrics in modern society, especially for the oldest-old. There are many evidences certificated that obesity is associated with disability in developed countries. However, few studies pay attention to relationship between them in developing countries. Furthermore, it is also unknown whether the association is similar among the oldest-old in rural and urban areas. The purpose of this study is to explore rural-urban differences in the association between disability and BMI among the oldest-old in China. METHODS 4076 seniors (80+) were included from the 2014 wave of Chinese Longitudinal Healthy Study. Disability, body mass index and other information including socio-demographic variables, health behavior conditions and health status were collected. Logistic regression analysis was employed to examine the association. RESULTS Of 4076 respondents, 1817 (44.6%) were urban elderly. Overall, 26.6% of the participants had disability, and 31.8% for urban, 22.4% for rural. After controlling for other variables, the significant association between BMI and disability was found for urban oldest seniors, but not for rural ones. Age, living arrangement, Non-communicable disease and annual physical examination were important determinants related to disability. CONCLUSIONS The association between BMI and disability differed according to residence. Both overweight and underweight were red flags of disability among Chines seniors (80+) in urban areas. Therefore, proper weight management is important for preventing disability among urban oldest-old. Additionally, annual physical examination, prevention and control of chronic diseases should be recommended to all of the oldest-old.
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Affiliation(s)
- Na Chen
- School of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, PR China
| | - Xin Li
- School of Pharmacy, Nanjing Medical University, Nanjing, PR China
| | - Jin Wang
- Institute of Literature in Chinese Medicine, Nanjing Medical University, Nanjing, PR China.
| | - Chengchao Zhou
- School of Public Health, Shandong University, Jinan, PR China.
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「高齢者肥満症診療ガイドライン2018」. Nihon Ronen Igakkai Zasshi 2018. [PMID: 30464154 DOI: 10.3143/geriatrics.55.g1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
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7
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Diet and physical activity as possible mediators of the association between educational attainment and body mass index gain among Australian adults. Int J Public Health 2018; 63:883-893. [PMID: 29687156 DOI: 10.1007/s00038-018-1100-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Revised: 03/19/2018] [Accepted: 04/06/2018] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVES To quantify the mediating role of leisure time physical activity (LTPA) and five dietary behaviours on educational differences in 13-year body mass index (BMI) gain across adulthood. METHODS Participants from the Melbourne Collaborative Cohort Study (4791 women; 3103 men) who maintained or gained BMI over 1990-1994 to 2003-2007 and met our inclusion criteria were selected. Education, potential mediators and confounders (age, alcohol, and smoking) were measured at baseline. We conducted sex-specific multiple mediation analyses using MacKinnon's product of coefficients method. RESULTS A higher educational attainment was associated with a 0.27 kg m-2 (95% CI 0.14, 0.39) lesser 13-year BMI gain among women only. We observed significant indirect effects of educational attainment on 13-year BMI gain through LTPA and nutrient-rich foods (each associated with a higher educational attainment and lesser 13-year BMI gain) and diet soft drink (associated with a lower educational attainment and greater 13-year BMI gain), which mediated 10, 15 and 20% of this relationship, respectively (45% in total). CONCLUSIONS Nutrient-rich foods, LTPA and diet soft drink may represent effective public health targets to reduce inequities in excess weight across adulthood.
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9
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Milne RL, Fletcher AS, MacInnis RJ, Hodge AM, Hopkins AH, Bassett JK, Bruinsma FJ, Lynch BM, Dugué PA, Jayasekara H, Brinkman MT, Popowski LV, Baglietto L, Severi G, O'Dea K, Hopper JL, Southey MC, English DR, Giles GG. Cohort Profile: The Melbourne Collaborative Cohort Study (Health 2020). Int J Epidemiol 2017; 46:1757-1757i. [PMID: 28641380 DOI: 10.1093/ije/dyx085] [Citation(s) in RCA: 118] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/02/2017] [Indexed: 11/12/2022] Open
Affiliation(s)
- R L Milne
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - A S Fletcher
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - R J MacInnis
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - A M Hodge
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - A H Hopkins
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - J K Bassett
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - F J Bruinsma
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - B M Lynch
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
- Physical Activity Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - P A Dugué
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - H Jayasekara
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - M T Brinkman
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - L V Popowski
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - L Baglietto
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
- Centre de Recherche en Épidémiologie et Santé des Populations, Université Paris-Saclay, Villejuif, France
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - G Severi
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
- Centre de Recherche en Épidémiologie et Santé des Populations, Université Paris-Saclay, Villejuif, France
- Human Genetics Foundation (HuGeF), Turin, Italy
| | - K O'Dea
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre of Population Health Research, University of South Australia, Adelaide, SA, Australia
| | - J L Hopper
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - M C Southey
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Genetic Epidemiology Laboratory, University of Melbourne, Parkville, VIC, Australia
| | - D R English
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - G G Giles
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
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Danon-Hersch N, Fustinoni S, Bovet P, Spagnoli J, Santos-Eggimann B. Association between Adiposity and disability in the Lc65+ Cohort. J Nutr Health Aging 2017; 21:799-810. [PMID: 28717810 DOI: 10.1007/s12603-016-0813-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
OBJECTIVES To examine the longitudinal association between body mass index (BMI) and waist circumference (WC) with mortality and incident disability in Lc65+ cohort. DESIGN Population-based cohort of non-institutionalized adults with up to 8.9 years of follow-up. SETTING City of Lausanne, Switzerland. PARTICIPANTS 1,293 individuals aged 65 to 70 at baseline (58% women). MEASUREMENTS BMI, WC and covariates were measured at baseline in 2004-2005. Vital status was obtained up to the 31st December 2013 and difficulty with basic activities of daily living (BADL) was reported in a self-administered questionnaire sent to participants every year. Main outcomes were total mortality and disability, defined as difficulty with BADL for ≥2 years or institutionalization. Cox regression was used with BMI/WC quintiles 2 as the reference. RESULTS 130 persons died over a median follow-up of 8.47 years (crude mortality rate, men: 16.5/1,000 person-years, women: 9.7/1,000 person-years). In Cox regression adjusted for age, sex, education, financial situation, smoking and involuntary weight loss (IWL) at baseline, mortality was significantly associated with neither BMI nor WC, but there were trends towards non-significant J-curves across both BMI and WC quintiles. Disability (231 cases) tended to increase monotonically across both BMI and WC quintiles and was significantly associated with BMI quintile 5 (HR=2.44, 95% CI [1.65-3.63]), and WC quintiles 4 (HR=1.81 [1.15-2.85]) and 5 (HR=2.58, [1.67-4.00]). CONCLUSION Almost half of the study population had a substantially increased HR of disability, as compared to the reference BMI/WC categories. This observation emphasizes the need for life-long strategies aimed at preventing excess weight, muscle loss and functional decline through adequate nutrition and regular physical activity, starting at early age and extending throughout life.
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Affiliation(s)
- N Danon-Hersch
- Nadia Danon-Hersch, Institute of Social and Preventive Medicine (IUMSP), University and University Hospital Center, Biopole 2, Route de la Corniche 10, 1010 Lausanne, Switzerland, Tel : +41 21 314 91 09; Fax: +41 21 314 97 67; ;
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Kantor ED, Udumyan R, Signorello LB, Giovannucci EL, Montgomery S, Fall K. Adolescent body mass index and erythrocyte sedimentation rate in relation to colorectal cancer risk. Gut 2016; 65:1289-95. [PMID: 25986947 PMCID: PMC4674372 DOI: 10.1136/gutjnl-2014-309007] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Accepted: 04/06/2015] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Adult obesity and inflammation have been associated with risk of colorectal cancer (CRC); however, less is known about how adolescent body mass index (BMI) and inflammation, as measured by erythrocyte sedimentation rate (ESR), relate to CRC risk. We sought to evaluate these associations in a cohort of 239 658 Swedish men who underwent compulsory military enlistment examinations in late adolescence (ages 16-20 years). DESIGN At the time of the conscription assessment (1969-1976), height and weight were measured and ESR was assayed. By linkage to the national cancer registry, these conscripts were followed for CRC through 1 January 2010. Over an average of 35 years of follow-up, 885 cases of CRC occurred, including 501 colon cancers and 384 rectal cancers. Cox regression was used to estimate adjusted HRs and corresponding 95% CIs. RESULTS Compared with normal weight (BMI 18.5 to <25 kg/m(2)) in late adolescence, upper overweight (BMI 27.5 to <30 kg/m(2)) was associated with a 2.08-fold higher risk of CRC (95% CI 1.40 to 3.07) and obesity (BMI 30+ kg/m(2)) was associated with a 2.38-fold higher risk of CRC (95% CI 1.51 to 3.76) (p-trend: <0.001). Male adolescents with ESR (15+ mm/h) had a 63% higher risk of CRC (HR 1.63; 95% CI 1.08 to 2.45) than those with low ESR (<10 mm/h) (p-trend: 0.006). Associations did not significantly differ by anatomic site. CONCLUSIONS Late-adolescent BMI and inflammation, as measured by ESR, may be independently associated with future CRC risk. Further research is needed to better understand how early-life exposures relate to CRC.
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Affiliation(s)
- Elizabeth D. Kantor
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Ruzan Udumyan
- Clinical Epidemiology and Biostatistics, Örebro University Hospital, Örebro, Sweden
| | - Lisa B. Signorello
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Edward L. Giovannucci
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA,Department of Nutrition, Harvard School of Public Health, Boston, MA, USA,Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Scott Montgomery
- Clinical Epidemiology and Biostatistics, Örebro University Hospital, Örebro, Sweden,Research Department of Epidemiology and Public Health, University College London, London, UK,Clinical Epidemiology Unit, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Katja Fall
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA,Clinical Epidemiology and Biostatistics, Örebro University Hospital, Örebro, Sweden,Clinical Epidemiology Unit, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden
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12
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Physical impairment and body weight history in postmenopausal women: the Women's Health Initiative. Public Health Nutr 2016; 19:3169-3177. [PMID: 27269298 DOI: 10.1017/s1368980016001415] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
OBJECTIVE To examine whether weight history and weight transitions over adult lifespan contribute to physical impairment among postmenopausal women. DESIGN BMI categories were calculated among postmenopausal women who reported their weight and height at age 18 years. Multiple-variable logistic regression was used to determine the association between BMI at age 18 years and BMI transitions over adulthood on severe physical impairment (SPI), defined as scoring <60 on the Physical Functioning subscale of the Rand thirty-six-item Short-Form Health Survey. SETTING Participants were part of the Women's Health Initiative Observational Study (WHI OS), where participants' health was followed over time via questionnaires and clinical assessments. SUBJECTS Postmenopausal women (n 76 016; mean age 63·5 (sd 7·3) years). RESULTS Women with overweight (BMI=25·0-29·9 kg/m2) or obesity (BMI≥30·0 kg/m2) at 18 years had greater odds (OR (95 % CI)) of SPI (1·51 (1·35, 1·69) and 2·14 (1·72, 2·65), respectively) than normal-weight (BMI=18·5-24·9 kg/m2) counterparts. Transitions from normal weight to overweight/obese or to underweight (BMI<18·5 kg/m2) were associated with greater odds of SPI (1·97 (1·84, 2·11) and 1·35 (1·06, 1·71), respectively) compared with weight stability. Shifting from underweight to overweight/obese also had increased odds of SPI (1·52 (1·11, 2·09)). Overweight/obese to normal BMI transitions resulted in a reduced SPI odds (0·52 (0·39, 0·71)). CONCLUSIONS Higher weight history and transitions into higher weight classes were associated with higher likelihood of SPI, while transitioning into lower weight classes for those with overweight/obesity was protective among postmenopausal women.
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Midlife job profiles and disabilities in later life: a 28-year follow-up of municipal employees in Finland. Int Arch Occup Environ Health 2016; 89:997-1007. [DOI: 10.1007/s00420-016-1133-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Accepted: 04/21/2016] [Indexed: 10/21/2022]
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Franzon K, Zethelius B, Cederholm T, Kilander L. Modifiable midlife risk factors, independent aging, and survival in older men: report on long-term follow-up of the Uppsala Longitudinal Study of Adult Men cohort. J Am Geriatr Soc 2015; 63:877-85. [PMID: 25919442 DOI: 10.1111/jgs.13352] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVES To examine relationships between modifiable midlife factors, aging, and physical and cognitive function (independent aging) and survival in very old age. DESIGN Prospective cohort. SETTING Uppsala Longitudinal Study of Adult Men, Uppsala, Sweden. PARTICIPANTS Swedish men investigated in 1970-74 (aged 48.6-51.1) and followed up for four decades (N=2,293). MEASUREMENTS Conventional cardiovascular risk factors, body mass index (BMI), and dietary biomarkers were measured, and a questionnaire was used to gather information on lifestyle variables at age 50. Four hundred seventy-two men were reinvestigated in 2008-09 (aged 84.8-88.9). Independent aging was defined as survival to age 85, Mini-Mental State Examination score of 25 or greater, not living in an institution, independent in personal care and hygiene, able to walk outdoors without personal help, and no diagnosis of dementia. The National Swedish Death Registry provided survival data. RESULTS Thirty-eight percent of the cohort survived to age 85. Seventy-four percent of the participants in 2008-09 were aging independently. In univariable analyses, high leisure-time physical activity predicted survival but not independent aging. Low work-time physical activity was associated more strongly with independent aging (odds ratio (OR)=1.84, 95% confidence interval (CI)=1.18-2.88) than with survival (OR=1.27, 95% CI=1.05-1.52). In multivariable analyses, midlife BMI was negatively associated (OR=0.80/SD, 95% CI=0.65-0.99/SD), and never or former smoking was positively associated (OR=1.66, 95% CI=1.07-2.59), with independent aging. As expected, conventional cardiovascular and lifestyle risk factors were associated with mortality. CONCLUSION A normal midlife BMI and not smoking were associated with independent aging close to four decades later, indicating that normal weight at midlife has the potential not only to increase survival, but also to preserve independence with aging.
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Affiliation(s)
- Kristin Franzon
- Geriatrics, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Björn Zethelius
- Geriatrics, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.,Medical Products Agency, Uppsala, Sweden
| | - Tommy Cederholm
- Clinical Nutrition and Metabolism, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Lena Kilander
- Geriatrics, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
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Wong E, Stevenson C, Backholer K, Woodward M, Shaw JE, Peeters A. Predicting the risk of physical disability in old age using modifiable mid-life risk factors. J Epidemiol Community Health 2014; 69:70-6. [PMID: 25216667 DOI: 10.1136/jech-2014-204456] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BACKGROUND We aimed to investigate the relationship between potentially modifiable risk factors in middle age and disability after 13 years using the Framingham Offspring Study (FOS). We further aimed to develop a disability risk algorithm to estimate the risk of future disability for those aged 45-65 years. METHODS FOS is a longitudinal study. We used examination 5 (1991-1995; 'baseline') and examination 8 (2005-2008; 'follow-up'). We included participants aged between 45-65 years at 'baseline' with complete predictor and outcome measures (n=2031; mean age 53.9 years). Predictors considered were body mass index, smoking, hypertension, diabetes and dyslipidaemia. We used multinomial logistic regression to identify predictors of disability or death.We assessed external validity using Australian data. RESULTS By examination 8, 156 participants had disability and 198 had died. Disability was associated with smoking (OR (95% CI) 1.81 (1.18 to 2.78)); obesity (2.95 (1.83 to 4.77)); diabetes 1.96 (1.11 to 3.45) and being female (OR 1.67 (1.13 to 2.45). The model performed moderately well in predicting disability and death in an Australian population. Based on our algorithm, a 45-year-old man/woman with the combined risk factors of obesity, diabetes and smoking has similar likelihood of surviving free of disability to a 65-year-old man/woman without any of the same risk factors. CONCLUSIONS AND RELEVANCE The derived risk algorithm allows, for the first time, quantification of the substantial combined impact on future disability of key modifiable risk factors in mid-life. Here we demonstrated the combined impact of obesity, diabetes and smoking to be similar to 20 years of aging.
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Affiliation(s)
- Evelyn Wong
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | | | - Kathryn Backholer
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Mark Woodward
- The George Institute for Global Health, University of Sydney, Camperdown, New South Wales, Australia Nuffield Department of Population Health, University of Oxford, Oxford, UK Department of Epidemiology, Johns Hopkins University, Baltimore, USA
| | - Jonathan E Shaw
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | - Anna Peeters
- Baker IDI Heart and Diabetes Institute, Melbourne, Australia Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
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Yin Z, Shi X, Kraus VB, Brasher MS, Chen H, Liu Y, Lv Y, Zeng Y. Gender-dependent association of body mass index and waist circumference with disability in the Chinese oldest old. Obesity (Silver Spring) 2014; 22:1918-1925. [PMID: 24777985 PMCID: PMC4114995 DOI: 10.1002/oby.20775] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2014] [Revised: 03/23/2014] [Accepted: 04/13/2014] [Indexed: 12/22/2022]
Abstract
OBJECTIVES To explore associations of BMI and waist circumference (WC) with disability among the Chinese oldest old. METHODS The 5,495 oldest old in the sixth wave of Chinese Longitudinal Healthy Longevity Study conducted in 2011 were included in this study. Disability was assessed by activities of daily living (ADL); height and weight for BMI and WC were measured; information including socio-demographics, lifestyles, and health status was collected. RESULTS Generalized additive models analysis showed that the association of BMI/WC with ADL disability was nonlinear. Among the males, logistic regression results supported a "J" shape association between ADL disability with BMI/WC-the highest tertile group in BMI or WC was significantly associated with an increased risk of ADL disability: odds ratio 1.78 (95% confidence interval (CI): 1.26-2.52) for BMI and 2.01 (95% CI: 1.44-2.82) for WC. Among females, an inverse "J" shape association was found, only the lowest tertile group before the cutoff point had an increased risk of ADL disability: odds ratio 1.42 (95%CI: 1.02-1.97) for BMI and 1.47 (95% CI:1.06-2.04) for WC. CONCLUSIONS Associations of BMI and WC with ADL disability are significant even in the oldest old, but differ between the genders.
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Affiliation(s)
- Zhaoxue Yin
- Division of Non-communicable Diseases Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaoming Shi
- Division of Non-communicable Diseases Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Corresponding Authors: Xiaoming Shi, NO.155 Changbai Road, Changping District, Beijing 102206, China, Tel. +86-10-58900215, Fax. +86-10-58900247, Yi Zeng, Box 3003, Room 1506, BUSSE Building, Durham, NC27710, USA, Tel. 919-660-7554, Fax: 919-668-0453,
| | - Virginia B. Kraus
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | | | - Huashuai Chen
- Center for the study of Aging and Human Development and the Geriatric Division of School of Medicine, Duke University, Durham, NC, USA
| | - Yuzhi Liu
- Center for Study of Healthy Aging and Development Studies, National School of Development, Peking University, Beijing, China
| | - Yuebin Lv
- Division of Non-communicable Diseases Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yi Zeng
- Center for the study of Aging and Human Development and the Geriatric Division of School of Medicine, Duke University, Durham, NC, USA
- Center for Study of Healthy Aging and Development Studies, National School of Development, Peking University, Beijing, China
- Corresponding Authors: Xiaoming Shi, NO.155 Changbai Road, Changping District, Beijing 102206, China, Tel. +86-10-58900215, Fax. +86-10-58900247, Yi Zeng, Box 3003, Room 1506, BUSSE Building, Durham, NC27710, USA, Tel. 919-660-7554, Fax: 919-668-0453,
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Gearon E, Backholer K, Hodge A, Peeters A. The mediating role of dietary factors and leisure time physical activity on socioeconomic inequalities in body mass index among Australian adults. BMC Public Health 2013; 13:1214. [PMID: 24359490 PMCID: PMC3912343 DOI: 10.1186/1471-2458-13-1214] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2013] [Accepted: 12/12/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The relationship between socioeconomic position and obesity has been clearly established, however, the extent to which specific behavioural factors mediate this relationship is less clear. This study aimed to ascertain the contribution of specific dietary elements and leisure-time physical activity (LTPA) to variations in obesity with education in the baseline (1990-1994) Melbourne Collaborative Cohort Study (MCCS). METHODS 18, 489 women and 12, 141 men were included in this cross-sectional analysis. A series of linear regression models were used in accordance with the products of coefficients method to examine the mediating role of alcohol, soft drink (regular and diet), snacks (healthy and sweet), savoury items (healthy and unhealthy), meeting fruit and vegetable guidelines and LTPA on the relationship between education and body mass index (BMI). RESULTS Compared to those with lowest educational attainment, those with the highest educational attainment had a 1 kg/m2 lower BMI. Among men and women, 27% and 48%, respectively, of this disparity was attributable to differences in LTPA and diet. Unhealthy savoury item consumption and LTPA contributed most to the mediated effects for men and women. Alcohol and diet soft drink were additionally important mediators for women. CONCLUSIONS Diet and LTPA are potentially modifiable behavioural risk factors for the development of obesity that contribute substantially to inequalities in BMI. Our findings highlight the importance of specific behaviours which may be useful to the implementation of effective, targeted public policy to reduce socioeconomic inequalities in obesity.
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Affiliation(s)
| | | | | | - Anna Peeters
- Obesity and population health unit, Baker IDI Heart and Diabetes Institute, Melbourne, Australia.
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