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| DOI | 10.3389/FPUBH.2021.799870 | ||||
| Año | 2022 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Background: While mentally passive sedentary behavior such as television viewing (TV) is often related with depressive symptoms, some research shows that physical activity (PA) may attenuate this association. Thus, this study aimed to examine the associations between TV, PA, and depressive symptoms, considering sociodemographic covariates.Methods: A sample of 29,285 adults (13,943 men; 15,342 women) with a mean age of 50.9 +/- 17.4 years (50.6 +/- 17.3 men; 51.1 +/- 17.5 women) from the European Social Survey agreed to be respondents for this study. Data for sociodemographic variables, TV watching, PA, and depressive symptoms were self-reported. Different statistical procedures were conducted to provide evidence for the association between study variables. ANCOVA was used to analyze the association between TV watching and depressive symptoms. Linear regression analysis was conducted to analyze the association between PA and depressive symptoms. General Linear Model was performed to analyze the association of TV watching and on depressive symptoms, controlling for PA.Results: European adults who responded watching more than 2 h per day showed higher scores for depressive symptoms. Higher participation in PA was negatively and significantly associated with depressive symptoms in men (beta = -0.15, 95% CI: -0.18, -0.13), and women (beta = -0.23, 95% CI: -0.26, -0.21). Men spending 1-2 h/day TV watching and engaging in PA >= 5 days/week presented the lowest scores on depressive symptoms. The lowest scores on depressive symptoms was observed in women engaging 2-4 days/week in PA and spending Conclusions: More time spent in TV watching is related with increased scores on depressive symptoms. However, regular PA participation can weaken this association.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Santos, Joao | - |
Univ Lisbon - Portugal
Universidade de Lisboa - Portugal |
| 2 | Ihle, Andreas | Hombre |
Univ Geneva - Suiza
Swiss Natl Ctr Competence Res LIVES Overcoming Vu - Suiza Université de Genève - Suiza Swiss National Centre of Competence in Research LIVES—Overcoming Vulnerability: Life Course Perspectives - Suiza |
| 3 | Peralta, Miguel | Hombre |
Univ Lisbon - Portugal
Universidade de Lisboa - Portugal |
| 4 | Domingos, Christophe | Hombre |
Life Qual Res Ctr - Portugal
Life Quality Research Centre - Portugal |
| 5 | Gouveia, Elvio R. | Hombre |
Univ Geneva - Suiza
Univ Madeira - Portugal LARSyS - Portugal Université de Genève - Suiza Universidade da Madeira - Portugal Interactive Technologies Institute - Portugal |
| 6 | Ferrari, Gerson | Hombre |
Universidad de Santiago de Chile - Chile
Universidad Católica del Maule - Chile |
| 7 | Werneck, André Oliveira | Hombre |
UNIV SAO PAULO - Brasil
Universidade de São Paulo - Brasil |
| 8 | Rodrigues, Filipe | Hombre |
Life Qual Res Ctr - Portugal
ESECS Polytech Leiria - Portugal Life Quality Research Centre - Portugal Polytechnic Institute of Leiria - Portugal |
| 9 | Marques, Adilson | - |
Univ Lisbon - Portugal
Universidade de Lisboa - Portugal |
| Fuente |
|---|
| Fundação para a Ciência e a Tecnologia |
| European Commission |
| Seventh Framework Programme |
| Max-Planck-Gesellschaft |
| Bundesministerium für Bildung und Forschung |
| Horizon 2020 |
| National Institute on Aging |
| Sixth Framework Programme |
| German Ministry of Education and Research |
| U.S. National Institute on Aging |
| Fifth Framework Programme |
| Max Planck Society for the Advancement of Science |
| Portuguese Foundation for Science and Technology, I.P., |
| DG Employment, Social Affairs and Inclusion |
| Agradecimiento |
|---|
| This paper uses data from SHARE Wave 7 (doi: 10.6103/SHARE.w7.711). The SHARE data collection has been funded by the European Commission through FP5 (QLK6-CT-2001-00360), FP6 (SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812), FP7 (SHARE-PREP: GA N.211909, SHARE-LEAP: GA N. 227822, SHARE M4: GA N.261982, DASISH: GA N. 283646) and Horizon 2020 (SHARE-DEV3: GA N.676536, SHARE-COHESION: GA N. 870628, SERISS: GA N.654221, SSHOC: GA N.823782) and by DG Employment, Social Affairs and Inclusion. Additional funding from the German Ministry of Education and Research, the Max Planck Society for the Advancement of Science, the U.S. National Institute on Aging (U01_AG09740-13S2, P01_AG005842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG-4553-01, IAG_BSR06-11, OGHA_04-064, HHSN271201300071C) and fromvarious national funding sources is gratefully acknowledged (see www.share-project.org).This project was supported by the Portuguese Foundation for Science and Technology, I.P., Grant/Award Number UID/CED/04748/2020. |
| This paper uses data from SHARE Wave 7 (doi: 10.6103/SHARE.w7.711). The SHARE data collection has been funded by the European Commission through FP5 (QLK6-CT-2001-00360), FP6 (SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812), FP7 (SHARE-PREP: GA N◦211909, SHARE-LEAP: GA N◦227822, SHARE M4: GA N◦261982, DASISH: GA N◦283646) and Horizon 2020 (SHARE-DEV3: GA N◦676536, SHARE-COHESION: GA N◦870628, SERISS: GA N◦654221, SSHOC: GA N◦823782) and by DG Employment, Social Affairs and Inclusion. Additional funding from the German Ministry of Education and Research, the Max Planck Society for the Advancement of Science, the U.S. National Institute on Aging (U01_AG09740-13S2, P01_AG005842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG-4553-01, IAG_BSR06-11, OGHA_04-064, HHSN271201300071C) and from various national funding sources is gratefully acknowledged (see www.share-project.org). This project was supported by the Portuguese Foundation for Science and Technology, I.P., Grant/Award Number UID/CED/04748/2020. |