Purpose: To investigate the longitudinal associations between body mass index (BMI) categories and falls risk in men and women.
Methods: Prospective cohort study using data from 50,041 community-dwelling adults aged ≥ 50 years assessed in Wave 6 and 7 in the cross-national Survey of Health, Ageing and Retirement in Europe (SHARE). Socio-demographic and clinical factors were assessed at baseline (Wave 6). Functional impairment was defined by any limitations in activities of daily living (ADL) or instrumental ADL (IADL). Participants were classified as underweight, normal weight, overweight or obese at baseline. At 2-year follow-up (Wave 7), falls in the previous six months were recorded. The longitudinal associations between BMI categories and falls were analysed by binary logistic regression models; odds ratios (OR) and 95% confidence intervals (CI) were calculated. All analyses were adjusted for socio-demographic and clinical factors. Furthermore, analyses were stratified by sex, age and functional impairment.
Results: Mean age was 67.0 years (range 50-102); 28,132 participants were women; 4057 (8.1%) participants reported falls at follow-up. Participants had an increased falls risk [OR (95% CI)] if they were underweight [1.41 (1.06-1.88), p = 0.017] or obese [1.20 (1.09-1.32), p < 0.001] compared to those with normal weight. The association of underweight and obesity with increased falls risk was consistent in participants aged ≥ 65 years. In participants with functional impairment, underweight was associated with higher falls risk [1.61 (1.09-2.40), p = 0.018], while obesity was not.
Conclusion: A U-shaped relationship between BMI and falls risk was found in community-dwelling adults.
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http://dx.doi.org/10.1007/s41999-021-00485-5 | DOI Listing |
JAMA Netw Open
January 2025
School of Life Course and Population Sciences, King's College London, London, United Kingdom.
Importance: Reducing the burden of stroke is a public health priority. While higher stroke incidence among ethnic minority populations (defined in the context of this study as individuals who are not White) is well established, reports on ethnic inequalities in care or outcomes are conflicting and often limited to hospital-admitted patients and short-term outcomes.
Objective: To investigate ethnic differences in stroke care and outcomes up to 5 years after stroke and describe temporal trends and contributory factors.
J Behav Med
January 2025
Department of Counseling Psychology and Human Services, Prevention Science Institute, University of Oregon, Eugene, OR, USA.
Executive functioning (EF) has been linked to chronic disease risk in children. Health behaviors are thought to partially explain this association. The current cross-sectional study evaluated specific domains of EF and varied health behaviors in three pediatric life stages.
View Article and Find Full Text PDFSports Med Open
January 2025
Department of Health, Nutrition, and Food Sciences, Florida State University, Tallahassee, FL, USA.
Background: Little is known about the lower extremity muscle co-contraction patterns during sprinting and its relation to running velocity (i.e., performance).
View Article and Find Full Text PDFGeroscience
January 2025
Center for Aging and Population Health, School of Public Health, University of Pittsburgh, 310 BelPB, 130 N. Bellefield Avenue, Pittsburgh, PA, 15213, USA.
Unintentional weight loss in older populations is linked to greater mortality and morbidity risks. This study aims to understand the metabolic mechanisms of unintentional weight loss and their relationship with body composition changes in older adults. We investigated plasma metabolite associations with weight and body composition changes over 5 years in 1335 participants (mean age 73.
View Article and Find Full Text PDFEat Weight Disord
January 2025
Division of Endocrinology, Diabetology and Clinical Nutrition, Sant'Anna Hospital - ASST Lariana, Como, Italy.
Purpose: To report data on the real-world effectiveness and safety of injectable (IS) and oral (OS) therapies in obese or overweight diabetes (T2DM) patients on glycometabolic control, weight loss (WL) and weight maintenance after the use of semaglutide.
Methods: 175 subjects with obesity or overweight and T2DM were retrospectively assessed. Of these, 129 (75F, 54 M; mean age 61.
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