The Clustering of Lifestyle Behaviours in New Zealand and their Relationship with Optimal Wellbeing

Purpose The purpose of this research was to determine (1) associations between multiple lifestyle behaviours and optimal wellbeing and (2) the extent to which five lifestyle behaviours—sleep, physical activity, sedentary behaviour, sugary drink consumption, and fruit and vegetable intake—cluster in...

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Veröffentlicht in:International journal of behavioral medicine 2016-10, Vol.23 (5), p.571-579
Hauptverfasser: Prendergast, Kate B., Mackay, Lisa M., Schofield, Grant M.
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Mackay, Lisa M.
Schofield, Grant M.
description Purpose The purpose of this research was to determine (1) associations between multiple lifestyle behaviours and optimal wellbeing and (2) the extent to which five lifestyle behaviours—sleep, physical activity, sedentary behaviour, sugary drink consumption, and fruit and vegetable intake—cluster in a national sample. Method A national sample of New Zealand adults participated in a web-based wellbeing survey. Five lifestyle behaviours—sleep, physical activity, sedentary behaviour, sugary drink consumption, and fruit and vegetable intake—were dichotomised into healthy (meets recommendations) and unhealthy (does not meet recommendations) categories. Optimal wellbeing was calculated using a multi-dimensional flourishing scale, and binary logistic regression analysis was used to calculate the relationship between multiple healthy behaviours and optimal wellbeing. Clustering was examined by comparing the observed and expected prevalence rates (O/E) of healthy and unhealthy two-, three-, four-, and five-behaviour combinations. Results Data from 9425 participants show those engaging in four to five healthy behaviours (23 %) were 4.7 (95 % confidence interval (CI) 3.8–5.7) times more likely to achieve optimal wellbeing compared to those engaging in zero to one healthy behaviour (21 %). Clustering was observed for healthy (5 %, O/E 2.0, 95 % CI 1.8–2.2) and unhealthy (5 %, O/E 2.1, 95 % CI 1.9–2.3) five-behaviour combinations and for four- and three-behaviour combinations. At the two-behaviour level, healthy fruit and vegetable intake clustered with all behaviours, except sleep which did not cluster with any behaviour. Conclusion Multiple lifestyle behaviours were positively associated with optimal wellbeing. The results show lifestyle behaviours cluster, providing support for multiple behaviour lifestyle-based interventions for optimising wellbeing.
doi_str_mv 10.1007/s12529-016-9552-0
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Method A national sample of New Zealand adults participated in a web-based wellbeing survey. Five lifestyle behaviours—sleep, physical activity, sedentary behaviour, sugary drink consumption, and fruit and vegetable intake—were dichotomised into healthy (meets recommendations) and unhealthy (does not meet recommendations) categories. Optimal wellbeing was calculated using a multi-dimensional flourishing scale, and binary logistic regression analysis was used to calculate the relationship between multiple healthy behaviours and optimal wellbeing. Clustering was examined by comparing the observed and expected prevalence rates (O/E) of healthy and unhealthy two-, three-, four-, and five-behaviour combinations. Results Data from 9425 participants show those engaging in four to five healthy behaviours (23 %) were 4.7 (95 % confidence interval (CI) 3.8–5.7) times more likely to achieve optimal wellbeing compared to those engaging in zero to one healthy behaviour (21 %). Clustering was observed for healthy (5 %, O/E 2.0, 95 % CI 1.8–2.2) and unhealthy (5 %, O/E 2.1, 95 % CI 1.9–2.3) five-behaviour combinations and for four- and three-behaviour combinations. At the two-behaviour level, healthy fruit and vegetable intake clustered with all behaviours, except sleep which did not cluster with any behaviour. Conclusion Multiple lifestyle behaviours were positively associated with optimal wellbeing. The results show lifestyle behaviours cluster, providing support for multiple behaviour lifestyle-based interventions for optimising wellbeing.</description><identifier>ISSN: 1070-5503</identifier><identifier>EISSN: 1532-7558</identifier><identifier>DOI: 10.1007/s12529-016-9552-0</identifier><identifier>PMID: 26944753</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adult ; Behavior ; Cluster Analysis ; Exercise ; Family Medicine ; Female ; Fruit ; General Practice ; Health ; Health Behavior ; Health Psychology ; Humans ; Life Style ; Lifestyles ; Male ; Medicine ; Medicine &amp; Public Health ; Middle Aged ; New Zealand ; Prevalence ; Sleep</subject><ispartof>International journal of behavioral medicine, 2016-10, Vol.23 (5), p.571-579</ispartof><rights>International Society of Behavioral Medicine 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-61b13682d410bf699aa27fcda6717ca6d941409bf45aa3a1a9dace2b2034832e3</citedby><cites>FETCH-LOGICAL-c415t-61b13682d410bf699aa27fcda6717ca6d941409bf45aa3a1a9dace2b2034832e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12529-016-9552-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12529-016-9552-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26944753$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Prendergast, Kate B.</creatorcontrib><creatorcontrib>Mackay, Lisa M.</creatorcontrib><creatorcontrib>Schofield, Grant M.</creatorcontrib><title>The Clustering of Lifestyle Behaviours in New Zealand and their Relationship with Optimal Wellbeing</title><title>International journal of behavioral medicine</title><addtitle>Int.J. Behav. Med</addtitle><addtitle>Int J Behav Med</addtitle><description>Purpose The purpose of this research was to determine (1) associations between multiple lifestyle behaviours and optimal wellbeing and (2) the extent to which five lifestyle behaviours—sleep, physical activity, sedentary behaviour, sugary drink consumption, and fruit and vegetable intake—cluster in a national sample. Method A national sample of New Zealand adults participated in a web-based wellbeing survey. Five lifestyle behaviours—sleep, physical activity, sedentary behaviour, sugary drink consumption, and fruit and vegetable intake—were dichotomised into healthy (meets recommendations) and unhealthy (does not meet recommendations) categories. Optimal wellbeing was calculated using a multi-dimensional flourishing scale, and binary logistic regression analysis was used to calculate the relationship between multiple healthy behaviours and optimal wellbeing. Clustering was examined by comparing the observed and expected prevalence rates (O/E) of healthy and unhealthy two-, three-, four-, and five-behaviour combinations. Results Data from 9425 participants show those engaging in four to five healthy behaviours (23 %) were 4.7 (95 % confidence interval (CI) 3.8–5.7) times more likely to achieve optimal wellbeing compared to those engaging in zero to one healthy behaviour (21 %). Clustering was observed for healthy (5 %, O/E 2.0, 95 % CI 1.8–2.2) and unhealthy (5 %, O/E 2.1, 95 % CI 1.9–2.3) five-behaviour combinations and for four- and three-behaviour combinations. At the two-behaviour level, healthy fruit and vegetable intake clustered with all behaviours, except sleep which did not cluster with any behaviour. Conclusion Multiple lifestyle behaviours were positively associated with optimal wellbeing. 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Behav. Med</stitle><addtitle>Int J Behav Med</addtitle><date>2016-10-01</date><risdate>2016</risdate><volume>23</volume><issue>5</issue><spage>571</spage><epage>579</epage><pages>571-579</pages><issn>1070-5503</issn><eissn>1532-7558</eissn><abstract>Purpose The purpose of this research was to determine (1) associations between multiple lifestyle behaviours and optimal wellbeing and (2) the extent to which five lifestyle behaviours—sleep, physical activity, sedentary behaviour, sugary drink consumption, and fruit and vegetable intake—cluster in a national sample. Method A national sample of New Zealand adults participated in a web-based wellbeing survey. Five lifestyle behaviours—sleep, physical activity, sedentary behaviour, sugary drink consumption, and fruit and vegetable intake—were dichotomised into healthy (meets recommendations) and unhealthy (does not meet recommendations) categories. Optimal wellbeing was calculated using a multi-dimensional flourishing scale, and binary logistic regression analysis was used to calculate the relationship between multiple healthy behaviours and optimal wellbeing. Clustering was examined by comparing the observed and expected prevalence rates (O/E) of healthy and unhealthy two-, three-, four-, and five-behaviour combinations. Results Data from 9425 participants show those engaging in four to five healthy behaviours (23 %) were 4.7 (95 % confidence interval (CI) 3.8–5.7) times more likely to achieve optimal wellbeing compared to those engaging in zero to one healthy behaviour (21 %). Clustering was observed for healthy (5 %, O/E 2.0, 95 % CI 1.8–2.2) and unhealthy (5 %, O/E 2.1, 95 % CI 1.9–2.3) five-behaviour combinations and for four- and three-behaviour combinations. At the two-behaviour level, healthy fruit and vegetable intake clustered with all behaviours, except sleep which did not cluster with any behaviour. Conclusion Multiple lifestyle behaviours were positively associated with optimal wellbeing. The results show lifestyle behaviours cluster, providing support for multiple behaviour lifestyle-based interventions for optimising wellbeing.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>26944753</pmid><doi>10.1007/s12529-016-9552-0</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Behavior
Cluster Analysis
Exercise
Family Medicine
Female
Fruit
General Practice
Health
Health Behavior
Health Psychology
Humans
Life Style
Lifestyles
Male
Medicine
Medicine & Public Health
Middle Aged
New Zealand
Prevalence
Sleep
title The Clustering of Lifestyle Behaviours in New Zealand and their Relationship with Optimal Wellbeing
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