The Association Between Healthy Lifestyle Behaviours and Coronavirus Protective Behaviours.
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ABSTRACT: Background
Based on models of cross-behavioural associations and the role of past behaviour in predicting behaviour, an association was hypothesized between healthy lifestyle behaviours prior to the COVID-19 pandemic and adherence to coronavirus protective behaviours. Self-assessed health was also examined as a potential moderator.Methods
A cross-sectional sample (N?=?463) completed online questionnaires during a COVID-19-related lockdown that measured engagement in healthy lifestyle behaviours (e.g., exercising and eating fruits and vegetables), adherence to coronavirus protective behaviours (e.g., wearing a face mask and practicing social distancing), and self-assessed health (subjective evaluation of overall health).Results
As predicted, higher engagement in healthy lifestyle behaviours prior to the pandemic was significantly correlated with higher adherence to coronavirus protective behaviours (Pearson r(459)?=?.308, p?ConclusionsThe findings highlight cross-behavioural facilitating processes, specifically between lifestyle behaviours and adherence to recommended protective behaviours during the pandemic. They also draw attention to the need to address individuals whose poorer evaluations of their general health might prevent them from implementing their behavioural intentions.
SUBMITTER: Nudelman G
PROVIDER: S-EPMC7875448 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature
Publications
The Association Between Healthy Lifestyle Behaviours and Coronavirus Protective Behaviours.
Nudelman Gabriel G Peleg Shira S Shiloh Shoshana S
International journal of behavioral medicine 20210210 6
<h4>Background</h4>Based on models of cross-behavioural associations and the role of past behaviour in predicting behaviour, an association was hypothesized between healthy lifestyle behaviours prior to the COVID-19 pandemic and adherence to coronavirus protective behaviours. Self-assessed health was also examined as a potential moderator.<h4>Methods</h4>A cross-sectional sample (N = 463) completed online questionnaires during a COVID-19-related lockdown that measured engagement in healthy lifes ...[more]
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Project description:BACKGROUND:Establishing healthy nutrition, activity, and sleep behaviours early in life is a key strategy in childhood obesity prevention. Parents are the primary influence on the development and establishment of obesity-related behaviours in young children. There is evidence that autonomy supporting parenting practices are crucial for the development of self-regulation and the internalisation of healthy behaviours in children. It is therefore imperative that parenting practices are targeted as part of an obesity prevention intervention. However, there is limited understanding of barriers and facilitators to parents using autonomy supporting parenting practices with their children aged 0-5?years. Therefore, the aim of the study was to identify barriers and facilitators to using autonomy supporting parenting practices. A secondary aim was to determine parent preferences in respect to an intervention program to be delivered in community playgroups. METHODS:Parents were recruited through Playgroup Queensland (PGQ), a not-for-profit organisation in Brisbane, Australia, to attend a focus group during their usual playgroup session. The focus group interview guide was designed to promote discussion among the participants in respect to their shared experiences as parents of young children. The focus group transcripts were coded and analysed using qualitative content analysis. Five focus groups with parents (n?=?30) were conducted in May 2018. Most of the participants were mothers [1], and the majority (76%) had a child at playgroup aged between 2 and 4?years. RESULTS:The support and guidance received from other parents at playgroup was a facilitator to autonomy supporting parenting practices. Barriers included beliefs around the need to use rewards to encourage child eating, beliefs around the need for screens as babysitters, and feeling disempowered to change sleep behaviours. Parents were enthusiastic about a potential program that would leverage off the existing playgroup support networks, but they did not want to be "educated", or to lose their "playgroup time" to an intervention. Rather they wanted strategies and support to deal with the frustrations of food, screen and sleep parenting. CONCLUSION:These results will be used to inform the development of a childhood obesity prevention intervention to be delivered in a community playgroup setting.
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Project description:ObjectiveTo explore the association between cardiometabolic dysregulation, an integral component of allostatic load, and health risk behaviours (HRBs) of the Hong Kong healthy adult population.DesignSecondary analysis of cross-sectional anonymous data.SettingData on sociodemographics, self-reported health status, HRBs and biomarkers were extracted from the Hong Kong Population Health Survey 2014/2015.ParticipantsOne thousand five hundred and fifty-one participants aged 18-64 years without self-reported diagnoses of hypertension, diabetes mellitus, hyperlipidaemia, cardiovascular disease, cognitive impairment or cancer.Primary outcome measuresCardiometabolic dysregulation index (CMDI), ranging from 0 to 6, was calculated by counting the number of biomarkers including systolic blood pressure, diastolic blood pressure, waist to hip ratio, glycated haemoglobin, total cholesterol to high-density lipoprotein cholesterol ratio, and triglycerides that were above the respective normal level suggested by international guidelines and literature. HRBs including smoking, dietary habits and sleeping hours were collected by self-report questionnaire. Alcohol consumption was assessed by the 10-item Alcohol Use Disorders Identification Test, while physical activity level was measured using the Global Physical Activity Questionnaire. A composite HRB score, ranging from 0 to 5, was calculated as the cumulative number of HRBs. The effect of HRB on CMDI was evaluated by negative binomial regression with adjustment for socioeconomic status, health awareness and comorbidities of the participants.ResultsThe mean CMDI of the studied population was 1.6; 29.5% had a CMDI of 0, whereas 1.5% had a CMDI of 6. Significant difference was observed in mean CMDI between gender and different age groups. Sleeping less than 6 hours (incidence rate ratio (IRR)=1.26, p<0.001), smoking (IRR=1.15, p=0.027), insufficient physical activity (IRR=1.12, p=0.007) and higher composite HRB score (IRR=1.12, 95% CI 1.06 to 1.18) were significantly associated with higher CMDI.ConclusionSmoking, physical inactivity and inadequate sleep-an essential yet often overlooked health behaviour-were associated with higher CMDI in the Hong Kong healthy adult population.
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