Gabriela Cárdenas Fuentes1,2, Rowaedh Ahmed Bawaked1,2, Miguel Ángel Martínez González3,4,5,6, Dolores Corella3,7, Isaac Subirana Cachinero8,9, Jordi Salas-Salvadó3,5,10, Ramón Estruch3,5,11, Lluis Serra-Majem3,12,13, Emilio Ros3,14, José Lapetra Peralta3,15, Miguel Fiol3,16, Javier Rekondo3,17, Enrique Gómez-Gracia5,18, Josep Antoni Tur Marí19, Xavier Pinto Sala3,5,20, Nancy Babio3,10, Carolina Ortega3,7, José Alfredo Martínez3,21, Helmut Schröder1,8. 1. Cardiovascular Risk and Nutrition Research Group (CARIN), Epidemiology and Public Health Research Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain. 2. PhD Programme in Biomedicine, Department of Experimental and Health Sciences, Universidad Pompeu Fabra, Barcelona, Spain. 3. CIBEROBN Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain. 4. Department of Preventive Medicine and Public Health, School of Medicine and IdiSNA (Institute for Health Research), University of Navarra, Pamplona, Spain. 5. The PREDIMED (Prevención con Dieta Mediterránea) Research Network (RD/06/0045), Instituto de Salud Carlos III (ISC III), Madrid, Spain. 6. Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA. 7. Department of Epidemiology, Preventive Medicine and Public Health, School of Medicine, University of Valencia, Valencia, Spain. 8. CIBER Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain. 9. Cardiovascular Epidemiology and Genetics Research Group, Epidemiology and Public Health Research Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain. 10. Human Nutrition Unit, University Hospital of Sant Joan de Reus, Department of Biochemistry and Biotechnology, Faculty of Medicine and Health Sciences, IISPV, Rovira i Virgili University, Reus, Spain. 11. Department of Internal Medicine, Hospital Clínic, IDIBAPS, University of Barcelona, Barcelona, Spain. 12. Department of Nutrition, Food Sciences and Gastronomy, University of Barcelona, Barcelona, Spain. 13. Department of Clinical Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain. 14. Lipid Clinic, Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain. 15. Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, Centro de Salud San Pablo, Sevilla, Spain. 16. Institute of Health Sciences, University of Balearic Islands and Son Espases Hospital, Palma de Mallorca, Spain. 17. Department of Cardiology, University Hospital Araba, Vitoria, Spain. 18. Department of Preventive Medicine, University of Malaga, Malaga, Spain. 19. Research Group on Community Nutrition and Oxidative Stress, Universitat de les Illes Balears & CIBERobn, Palma de Mallorca, Spain. 20. Lipids and Vascular Risk Units, Internal Medicine, University Hospital of Bellvitge, Hospitalet de Llobregat, Barcelona, Spain. 21. Department of Nutrition and Food Sciences, Physiology and Toxicology, University of Navarra, Pamplona, Spain.
Abstract
Background: There is limited, and inconsistent, data on the prospective association between physical activity and surrogate markers of adiposity in older adults. We aim to determine the prospective association of leisure time physical activity (LTPA) with body mass index (BMI), waist circumference (WC) and the incidence of obesity. Methods: This prospective analysis included 7144 individuals with a mean age of 67 ± 6.2 years, from the PREvención con DIeta MEDiterránea (PREDIMED) study. BMI and WC were measured and LTPA was recorded using the Minnesota Leisure Time Physical Activity Questionnaire. Exposure and outcome variables were calculated as cumulative average of repeated measurements. Results: Total LTPA was inversely associated (P < 0.001) with BMI and WC. The difference in BMI and WC between extreme quintiles of LTPA (Q1-Q5) was 2.1 kg/m2 (95% confidence interval (CI) 1.68; 2.49, P < 0.001) and 4.8 cm (CI 2.28; 7.25, P < 0.001), respectively. Low-intensity LTPA was inversely associated with BMI but not with WC, while moderate/vigorous LTPA showed an inverse relationship with BMI and WC. The hazard of general and abdominal obesity incidence decreased across quintiles of total and moderate/vigorous LTPA (P < 0.001 for both), whereas low-intensity LTPA was inversely associated with the incidence of general obesity (P < 0.001). Conclusion: LTPA was inversely associated with BMI, WC and incidence of general and abdominal obesity. The finding that low-intensity LTPA was inversely related to BMI and the incidence of obesity is of particular importance because this level of physical activity could be a feasible option for many older adults.
Background: There is limited, and inconsistent, data on the prospective association between physical activity and surrogate markers of adiposity in older adults. We aim to determine the prospective association of leisure time physical activity (LTPA) with body mass index (BMI), waist circumference (WC) and the incidence of obesity. Methods: This prospective analysis included 7144 individuals with a mean age of 67 ± 6.2 years, from the PREvención con DIeta MEDiterránea (PREDIMED) study. BMI and WC were measured and LTPA was recorded using the Minnesota Leisure Time Physical Activity Questionnaire. Exposure and outcome variables were calculated as cumulative average of repeated measurements. Results: Total LTPA was inversely associated (P < 0.001) with BMI and WC. The difference in BMI and WC between extreme quintiles of LTPA (Q1-Q5) was 2.1 kg/m2 (95% confidence interval (CI) 1.68; 2.49, P < 0.001) and 4.8 cm (CI 2.28; 7.25, P < 0.001), respectively. Low-intensity LTPA was inversely associated with BMI but not with WC, while moderate/vigorous LTPA showed an inverse relationship with BMI and WC. The hazard of general and abdominal obesity incidence decreased across quintiles of total and moderate/vigorous LTPA (P < 0.001 for both), whereas low-intensity LTPA was inversely associated with the incidence of general obesity (P < 0.001). Conclusion: LTPA was inversely associated with BMI, WC and incidence of general and abdominal obesity. The finding that low-intensity LTPA was inversely related to BMI and the incidence of obesity is of particular importance because this level of physical activity could be a feasible option for many older adults.
Authors: Saara Laine; Tanja Sjöros; Taru Garthwaite; Maria Saarenhovi; Petri Kallio; Eliisa Löyttyniemi; Henri Vähä-Ypyä; Harri Sievänen; Tommi Vasankari; Kirsi Laitinen; Noora Houttu; Ekaterina Saukko; Juhani Knuuti; Virva Saunavaara; Ilkka H A Heinonen Journal: Sci Rep Date: 2022-10-19 Impact factor: 4.996
Authors: Helmut Schröder; Gabriela Cárdenas-Fuentes; Miguel Angel Martínez-González; Dolores Corella; Jesús Vioque; Dora Romaguera; J Alfredo Martínez; Francisco J Tinahones; José López Miranda; Ramon Estruch; Aurora Bueno-Cavanillas; Fernando Arós; Ascensión Marcos; Josep A Tur; Julia Warnberg; Lluis Serra-Majem; Vicente Martín; Clotilde Vázquez; José Lapetra; Xavier Pintó; Josep Vidal; Lidia Daimiel; José Juan Gaforio; Pilar Matía-Martín; Emilio Ros; Olga Castañer; Camille Lassale; Miguel Ruiz-Canela; Eva M Asensio; Josep Basora; Laura Torres-Collado; Antonio Garcia-Rios; Itziar Abete; Estefania Toledo; Pilar Buil-Cosiales; Mònica Bullo; Albert Goday; Montserrat Fitó; Jordi Salas-Salvadó Journal: Int J Behav Nutr Phys Act Date: 2018-11-13 Impact factor: 6.457
Authors: Lena D Sialino; Laura A Schaap; Sandra H van Oostrom; H Susan J Picavet; Johannes W R Twisk; W M Monique Verschuren; Marjolein Visser; Hanneke A H Wijnhoven Journal: BMC Geriatr Date: 2021-06-02 Impact factor: 3.921