Abdou Y Omorou1, Anne Vuillemin2, Medhi Menai3, Clotilde Latarche4, Emmanuelle Kesse-Guyot3, Pilar Galan3, Serge Hercberg3, Jean-Michel Oppert5, Serge Briançon1. 1. EA 4360 APEMAC, University of Lorraine, Paris Descartes University, Nancy, France; Service d'Epidémiologie et Evaluation Cliniques, Inserm CIC-EC, CHRU de Nancy Brabois, France. 2. EA 4360 APEMAC, University of Lorraine, Paris Descartes University, Nancy, France. Electronic address: anne.vuillemin@univ-lorraine.fr. 3. Université Paris 13, Sorbonne Paris Cité - EREN (Equipe de Recherche en Epidémiologie Nutritionnelle), U1153 Inserm, Inra, Cnam, Centre de Recherche en Epidémiologie et Biostatistiques, CRNH IdF, Bobigny, France. 4. Service d'Epidémiologie et Evaluation Cliniques, Inserm CIC-EC, CHRU de Nancy Brabois, France. 5. Université Paris 13, Sorbonne Paris Cité - EREN (Equipe de Recherche en Epidémiologie Nutritionnelle), U1153 Inserm, Inra, Cnam, Centre de Recherche en Epidémiologie et Biostatistiques, CRNH IdF, Bobigny, France; Department of Nutrition, Pitie-Salpetriere University Hospital (AP-HP), University Pierre et Marie Curie-6, Paris Institute of Cardiometabolim and Nutrition (ICAN), Paris, France.
Abstract
BACKGROUND: The directionality of the associations of domain-specific physical activity (PA) and sedentary behaviour (SB) with health-related quality of life (HRQoL) in adults remain insufficiently known. This study investigated the longitudinal associations of 10-year cumulative levels of PA and SB with HRQoL and the reverse associations. METHODS: A sample of 2093 (47.8% men) participants from a cohort of French adult (SU.VI.MAX) was included. Data were collected at 3 time points (1998, 2001 and 2007) using the Modifiable Activity Questionnaire (MAQ) for PA (leisure-time and occupational) and SB (screen-viewing, reading and total sitting time) and the DUKE Health Profile for HRQoL. The cumulative level (from 0 to 3) referred to the number of time points where a high PA level, high SB or good HRQoL was reported. Regression models examined the 10-year cumulative level of PA, SB as predictors of HRQoL and reverse associations. RESULTS: The 10-year cumulative level of high PA, both leisure-time and occupational, predicted a higher HRQoL while the 10-year cumulative level of high screen-viewing time and high total sitting time was associated with lower HRQoL. For the reverse association, cumulative level of good HRQoL predicted more leisure-time PA, less screen-viewing time and less total sitting time but was not related to occupational PA. CONCLUSION: Relationships between PA, SB and HRQoL are complex and should not be oversimplified in one or the other direction. Taking into account domain-specific PA and SB in health promotion programs appears of prime importance to design interventions aiming at improving HRQoL.
BACKGROUND: The directionality of the associations of domain-specific physical activity (PA) and sedentary behaviour (SB) with health-related quality of life (HRQoL) in adults remain insufficiently known. This study investigated the longitudinal associations of 10-year cumulative levels of PA and SB with HRQoL and the reverse associations. METHODS: A sample of 2093 (47.8% men) participants from a cohort of French adult (SU.VI.MAX) was included. Data were collected at 3 time points (1998, 2001 and 2007) using the Modifiable Activity Questionnaire (MAQ) for PA (leisure-time and occupational) and SB (screen-viewing, reading and total sitting time) and the DUKE Health Profile for HRQoL. The cumulative level (from 0 to 3) referred to the number of time points where a high PA level, high SB or good HRQoL was reported. Regression models examined the 10-year cumulative level of PA, SB as predictors of HRQoL and reverse associations. RESULTS: The 10-year cumulative level of high PA, both leisure-time and occupational, predicted a higher HRQoL while the 10-year cumulative level of high screen-viewing time and high total sitting time was associated with lower HRQoL. For the reverse association, cumulative level of good HRQoL predicted more leisure-time PA, less screen-viewing time and less total sitting time but was not related to occupational PA. CONCLUSION: Relationships between PA, SB and HRQoL are complex and should not be oversimplified in one or the other direction. Taking into account domain-specific PA and SB in health promotion programs appears of prime importance to design interventions aiming at improving HRQoL.
Authors: O López-Torres; B Del Pozo-Cruz; B Maroto-Sánchez; S Vila-Maldonado; A Gómez-Cabello; M Martín-García; A González-Agüero; N Gusi; L Espino; J A Casajús; M González-Gross; I Ara; R Pedrero-Chamizo Journal: Qual Life Res Date: 2019-08-01 Impact factor: 4.147
Authors: Lena V Kallings; Victoria Blom; Björn Ekblom; Tobias Holmlund; Jane Salier Eriksson; Gunnar Andersson; Peter Wallin; Elin Ekblom-Bak Journal: BMC Public Health Date: 2021-05-06 Impact factor: 3.295
Authors: Jennifer Fortune; Meriel Norris; Andrea Stennett; Cherry Kilbride; Grace Lavelle; Wendy Hendrie; Christina Victor; Jennifer Mary Ryan Journal: Sci Rep Date: 2021-10-13 Impact factor: 4.379