W59. PHYSICAL ACTIVITY AND MENTAL HEALTH: A MENDELIAN RANDOMIZATION STUDY

AbstractBackgroundPartial- or full-lockdowns, among other interventions during the COVID-19 pandemic, may disproportionally affect people (their behaviors and health outcomes) with lower socioeconomic status (SES). This study examines income-related health inequalities and their main contributors in China during the pandemic.MethodsThe 2020 China COVID-19 Survey is an anonymous 74-item survey administered via social media in China. A national sample of 10,545 adults in all 31 provinces, municipalities, and autonomous regions in mainland China provided comprehensive data on sociodemographic characteristics, awareness and attitudes towards COVID-19, lifestyle factors, and health outcomes during the lockdown. Of them, 8448 subjects provided data for this analysis. Concentration Index (CI) and Corrected CI (CCI) were used to measure income-related inequalities in mental health and self-reported health (SRH), respectively. Wagstaff-type decomposition analysis was used to identify contributors to health inequalities.ResultsMost participants reported their health status as “very good” (39.0%) or “excellent” (42.3%). CCI of SRH and mental health were − 0.09 (p < 0.01) and 0.04 (p < 0.01), respectively, indicating pro-poor inequality in ill SRH and pro-rich inequality in ill mental health. Income was the leading contributor to inequalities in SRH and mental health, accounting for 62.7% (p < 0.01) and 39.0% (p < 0.05) of income-related inequalities, respectively. The COVID-19 related variables, including self-reported family-member COVID-19 infection, job loss, experiences of food and medication shortage, engagement in physical activity, and five different-level pandemic regions of residence, explained substantial inequalities in ill SRH and ill mental health, accounting for 29.7% (p < 0.01) and 20.6% (p < 0.01), respectively. Self-reported family member COVID-19 infection, experiencing food and medication shortage, and engagement in physical activity explain 9.4% (p < 0.01), 2.6% (the summed contributions of experiencing food shortage (0.9%) and medication shortage (1.7%),p < 0.01), and 17.6% (p < 0.01) inequality in SRH, respectively (8.9% (p < 0.01), 24.1% (p < 0.01), and 15.1% (p < 0.01) for mental health).ConclusionsPer capita household income last year, experiences of food and medication shortage, self-reported family member COVID-19 infection, and physical activity are important contributors to health inequalities, especially mental health in China during the COVID-19 pandemic. Intervention programs should be implemented to support vulnerable groups.

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Effect of a physical activity and sleep m-health intervention on a composite activity-sleep behaviour score and mental health: a mediation analysis of two randomised controlled trials

International Journal of Behavioral Nutrition and Physical Activity ◽

10.1186/s12966-021-01112-z ◽

2021 ◽

Vol 18 (1) ◽

Author(s):

Mitch J. Duncan ◽

Anna T. Rayward ◽

Elizabeth G. Holliday ◽

Wendy J. Brown ◽

Corneel Vandelanotte ◽

...

Keyword(s):

Mental Health ◽

Physical Activity ◽

Trial Registration ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Sleep Health ◽

Intervention Effects ◽

Symptoms Of Depression ◽

Randomised Controlled

Abstract Background To examine if a composite activity-sleep behaviour index (ASI) mediates the effects of a combined physical activity and sleep intervention on symptoms of depression, anxiety, or stress, quality of life (QOL), energy and fatigue in adults. Methods This analysis used data pooled from two studies: Synergy and Refresh. Synergy: Physically inactive adults (18–65 years) who reported poor sleep quality were recruited for a two-arm Randomised Controlled Trial (RCT) (Physical Activity and Sleep Health (PAS; n = 80), or Wait-list Control (CON; n = 80) groups). Refresh: Physically inactive adults (40–65 years) who reported poor sleep quality were recruited for a three-arm RCT (PAS (n = 110), Sleep Health-Only (SO; n = 110) or CON (n = 55) groups). The SO group was omitted from this study. The PAS groups received a pedometer, and accessed a smartphone/tablet “app” using behaviour change strategies (e.g., self-monitoring, goal setting, action planning), with additional email/SMS support. The ASI score comprised self-reported moderate-to-vigorous-intensity physical activity, resistance training, sitting time, sleep duration, efficiency, quality and timing. Outcomes were assessed using DASS-21 (depression, anxiety, stress), SF-12 (QOL-physical, QOL-mental) and SF-36 (Energy & Fatigue). Assessments were conducted at baseline, 3 months (primary time-point), and 6 months. Mediation effects were examined using Structural Equation Modelling and the product of coefficients approach (AB), with significance set at 0.05. Results At 3 months there were no direct intervention effects on mental health, QOL or energy and fatigue (all p > 0.05), and the intervention significantly improved the ASI (all p < 0.05). A more favourable ASI score was associated with improved symptoms of depression, anxiety, stress, QOL-mental and of energy and fatigue (all p < 0.05). The intervention effects on symptoms of depression ([AB; 95%CI] -0.31; − 0.60,-0.11), anxiety (− 0.11; − 0.27,-0.01), stress (− 0.37; − 0.65,-0.174), QOL-mental (0.53; 0.22, 1.01) and ratings of energy and fatigue (0.85; 0.33, 1.63) were mediated by ASI. At 6 months the magnitude of association was larger although the overall pattern of results remained similar. Conclusions Improvements in the overall physical activity and sleep behaviours of adults partially mediated the intervention effects on mental health and quality of life outcomes. This highlights the potential benefit of improving the overall pattern of physical activity and sleep on these outcomes. Trial registration Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; ACTRN12617000376347. Universal Trial number: U1111–1194-2680; U1111–1186-6588. Human Research Ethics Committee Approval: H-2016-0267; H-2016–0181.

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How is the COVID-19 lockdown impacting the mental health of parents of school-age children in the UK? A cross-sectional online survey

BMJ Open ◽

10.1136/bmjopen-2020-043397 ◽

2021 ◽

Vol 11 (5) ◽

pp. e043397

Author(s):

Austen El-Osta ◽

Aos Alaa ◽

Iman Webber ◽

Eva Riboli Sasco ◽

Emmanouil Bagkeris ◽

...

Keyword(s):

Mental Health ◽

Physical Activity ◽

Social Isolation ◽

Online Survey ◽

Female Gender ◽

School Age Children ◽

School Age ◽

Cross Sectional ◽

The Uk ◽

The Impact

ObjectiveInvestigate the impact of the COVID-19 lockdown on feelings of loneliness and social isolation in parents of school-age children.DesignCross-sectional online survey of parents of primary and secondary school-age children.SettingCommunity setting.Participants1214 parents of school-age children in the UK.MethodsAn online survey explored the impact of lockdown on the mental health of parents with school-age children, and in particular about feelings of social isolation and loneliness. Associations between the UCLA Three-Item Loneliness Scale (UCLATILS), the Direct Measure of Loneliness (DMOL) and the characteristics of the study participants were assessed using ordinal logistic regression models.Main outcome measuresSelf-reported measures of social isolation and loneliness using UCLATILS and DMOL.ResultsHalf of respondents felt they lacked companionship, 45% had feelings of being left out, 58% felt isolated and 46% felt lonely during the first 100 days of lockdown. The factors that were associated with higher levels of loneliness on UCLATILS were female gender, parenting a child with special needs, lack of a dedicated space for distance learning, disruption of sleep patterns and low levels of physical activity during the lockdown. Factors associated with a higher DMOL were female gender, single parenting, parenting a child with special needs, unemployment, low physical activity, lack of a dedicated study space and disruption of sleep patterns during the lockdown.ConclusionsThe COVID-19 lockdown has increased feelings of social isolation and loneliness among parents of school-age children. The sustained adoption of two modifiable health-seeking lifestyle behaviours (increased levels of physical activity and the maintenance of good sleep hygiene practices) wmay help reduce feelings of social isolation and loneliness during lockdown.

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