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Article: Associations of multiple physical activity domains with mental well-being

TitleAssociations of multiple physical activity domains with mental well-being
Authors
KeywordsAdults
Body Mass Index
Demographic Characteristics
Dose-Response Relationship
Sf-12
Issue Date2009
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/714078/description#description
Citation
Mental Health And Physical Activity, 2009, v. 2 n. 2, p. 55-64 How to Cite?
AbstractObjective: Physical activity (PA) has consistent associations with mental well-being, but studies have focused primarily on leisure-time activity, and there has been little attention to the roles of other activity domains (household, occupational and transport). We examined the dose-response relationships of PA dimensions (frequency, amount and volume) with mental well-being for all four PA domains. We also assessed the interaction effects of gender, age, body weight status, and PA domains. Method: In 2003-2004, two surveys collected data on PA, socio-demographics, height and weight, perceived neighborhood attributes, barriers to PA, and physical and mental well-being from 2194 Australian adults. Generalized linear models with restricted cubic splines identified the dose-response relationships of PA domains with mental well-being; the interactive effects of PA domains, age, gender and weight status; and the confounding effects of poor mental or physical health as barriers to PA. Results: Leisure-time PA was independently linearly related to mental well-being in most demographic groups. Stronger effects were observed for vigorous-intensity leisure-time PA. Poor health as a barrier to PA explained only a small portion of the relationships of PA with mental well-being. The magnitude and direction of the effects of household, occupational and transport PA depended on age, gender, weight status and/or participation in other PA domains. Conclusions: Individual physical capacities and characteristics, and level of discretionary choice are likely determinants of the effects of PA on mental well-being. Strategies aimed at increasing PA for mental health benefits need to take these diverse and sometimes counterintuitive effects into account. © 2009 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/176060
ISSN
2015 Impact Factor: 1.778
2015 SCImago Journal Rankings: 0.772
References

 

DC FieldValueLanguage
dc.contributor.authorCerin, Een_US
dc.contributor.authorLeslie, Een_US
dc.contributor.authorSugiyama, Ten_US
dc.contributor.authorOwen, Nen_US
dc.date.accessioned2012-11-26T09:04:48Z-
dc.date.available2012-11-26T09:04:48Z-
dc.date.issued2009en_US
dc.identifier.citationMental Health And Physical Activity, 2009, v. 2 n. 2, p. 55-64en_US
dc.identifier.issn1755-2966en_US
dc.identifier.urihttp://hdl.handle.net/10722/176060-
dc.description.abstractObjective: Physical activity (PA) has consistent associations with mental well-being, but studies have focused primarily on leisure-time activity, and there has been little attention to the roles of other activity domains (household, occupational and transport). We examined the dose-response relationships of PA dimensions (frequency, amount and volume) with mental well-being for all four PA domains. We also assessed the interaction effects of gender, age, body weight status, and PA domains. Method: In 2003-2004, two surveys collected data on PA, socio-demographics, height and weight, perceived neighborhood attributes, barriers to PA, and physical and mental well-being from 2194 Australian adults. Generalized linear models with restricted cubic splines identified the dose-response relationships of PA domains with mental well-being; the interactive effects of PA domains, age, gender and weight status; and the confounding effects of poor mental or physical health as barriers to PA. Results: Leisure-time PA was independently linearly related to mental well-being in most demographic groups. Stronger effects were observed for vigorous-intensity leisure-time PA. Poor health as a barrier to PA explained only a small portion of the relationships of PA with mental well-being. The magnitude and direction of the effects of household, occupational and transport PA depended on age, gender, weight status and/or participation in other PA domains. Conclusions: Individual physical capacities and characteristics, and level of discretionary choice are likely determinants of the effects of PA on mental well-being. Strategies aimed at increasing PA for mental health benefits need to take these diverse and sometimes counterintuitive effects into account. © 2009 Elsevier Ltd. All rights reserved.en_US
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/714078/description#descriptionen_US
dc.relation.ispartofMental Health and Physical Activityen_US
dc.subjectAdultsen_US
dc.subjectBody Mass Indexen_US
dc.subjectDemographic Characteristicsen_US
dc.subjectDose-Response Relationshipen_US
dc.subjectSf-12en_US
dc.titleAssociations of multiple physical activity domains with mental well-beingen_US
dc.typeArticleen_US
dc.identifier.emailCerin, E: ecerin@hku.hken_US
dc.identifier.authorityCerin, E=rp00890en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.mhpa.2009.09.004en_US
dc.identifier.scopuseid_2-s2.0-70449526801en_US
dc.identifier.hkuros168070-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-70449526801&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume2en_US
dc.identifier.issue2en_US
dc.identifier.spage55en_US
dc.identifier.epage64en_US
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridCerin, E=14522064200en_US
dc.identifier.scopusauthoridLeslie, E=7004928143en_US
dc.identifier.scopusauthoridSugiyama, T=18438631200en_US
dc.identifier.scopusauthoridOwen, N=7102307209en_US

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