The Prospective Association Between Physical Activity, Insomnia Symptoms and Productivity in an Australian Population-based Cohort

Abstract Background In China, an abundance of cardiovascular risk factors has contributed to the increasing prevalence of cardiovascular diseases (CVD), which caused almost 4 million deaths per year. However, comprehensive evidence on the geographical profiles of cardiovascular disease risk in China is lacking, as findings in prior studies have been limited to relatively small sample sizes, had incomplete regional coverage, or focused on a narrow risk factor spectrum. Purpose To compare the population CVD risk among different regions across China, and to describe the geographical distributions of CVD risk factors and their clusters throughout the nation. Methods In a nationwide population-based screening project covering 252 counties of China, standardized measurements were conducted to collect information on 12 major CVD risk factors. Individuals of high CVD risk were identified as those with previous CVD, or with a predicted 10-year risk of CVD greater than 10% according to the WHO risk prediction charts. We applied factor analysis to generate “clusters” that characterized the clustering of these risk factors, then explored their relationship with the local ambient temperature and per capital GDP. Results Among 983476 participants included, 9.2% were of high CVD risk, with a range of 1.6% to 23.6% across counties. Among the seven regions in China, the rate was relatively high in the Northeast (11.8%) and North China (10.4%), while low in the South China (7.2%) and Northwest (7.8%). We identified 6 clusters underlying CVD risk factors, including Obesity factor, Blood pressure factor, Staple food factor, Non-staple food factor, Smoking and alcohol factor, and Metabolic and physical activity factor (Figure). We found high risk regions were facing different leading challenges, like obesity and blood pressure for the North China, while unhealthy non-staple food for the Northeast. The South China, as the region with the lowest CVD risk, still had the highest prevalence of unhealthy staple food. Lower annual average ambient temperature was associated with higher risk in Blood pressure factor, Obesity factor and Non-staple food factor, but lower risk in Staple food factor and Metabolic and physical activity factor (p<0.001 for all), consistently between rural and urban. Higher per capital GDP was associated with lower risk in Non-staple food factor in urban and higher risk in Metabolic and physical activity factor in rural (p<0.05 for both). The correlation between per capital GDP and Smoking and alcohol factor differed significantly between in rural and urban regions (p=0.042). Conclusions The geographical profile of CVD risk in China is complex - population risk levels varied substantially across regions, which were contributed by different risk factors. China needs geographically targeted intervention strategies considering environmental and socio-economic factors to control CVD risk and reduce the burden related to CVD. Geographical disparity of risk clusters Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): The National Key Research and Development Program from the Ministry of Science and Technology of China; the CAMS Innovation Fund for Medical Science

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379 Do Depressive Symptoms Mediate the Association Between Insomnia and Physical Activity?

SLEEP ◽

10.1093/sleep/zsab072.378 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A150-A151

Author(s):

Jamie Walker ◽

Rebecca Campbell ◽

Ivan Vargas

Keyword(s):

Physical Activity ◽

Depressive Symptoms ◽

Online Survey ◽

Longitudinal Design ◽

Energy Levels ◽

Depression Scale ◽

Severity Index ◽

Future Research ◽

Activity Levels ◽

Insomnia Symptoms

Abstract Introduction Insomnia and depression are highly comorbid and have been shown to be independently associated with lower levels of physical activity. It is not clear, however, if being less physically active is a risk factor for or consequence of depression and insomnia. The factors that explain the associations between insomnia, depression, and physical activity are likely complex and overlapping. For example, insomnia may predict inactivity by impacting one’s energy levels, leaving them too tired to exercise. Insomnia may also interfere with one’s motivation to exercise due to low mood, as insomnia is associated with the development of depressive symptoms. The purpose of the present study was to explore whether depression mediated the link between insomnia and low levels of physical activity. Methods A national online survey was conducted from April-June 2020. Participants completed surveys to assess demographics, mood, sleep, and physical activity. Depressive symptoms were estimated with the Center for Epidemiologic Studies Depression Scale (CES-D). Insomnia symptoms were estimated with the Insomnia Severity Index (ISI). Physical activity levels were estimated with the International Physical Activity Questionnaire (IPAQ). Analyses were conducted using multiple linear regression, with separate models for depression, insomnia, and the combination of the two, on levels of physical activity. Results 3,952 adults (Mage = 46.9 years) completed the survey. According to the unadjusted models, greater insomnia symptoms were associated with greater depressive symptoms (b = 0.4523, SE = 0.019593, p < .001), and lower levels of physical activity (b = -38.741, SE = 18.236, p = 0.0337). The relationship between insomnia and physical activity was no longer significant, however, when controlling for depression (b = -6.140, SE = 19.274, p = 0.75). According to the mediation analyses, there was an indirect effect of insomnia on physical activity that was explained by differences in depressive symptoms (Sobel Test = -4.895, SE = 6.518, p < .001). Conclusion Our findings support previous research indicating associations between symptoms of insomnia and depression and physical activity. Future research should examine if these same results hold using a longitudinal design. Support (if any) Vargas: K23HL141581

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COVID-19 Pandemic and Remote Education Contributes to Improved Nutritional Behaviors and Increased Screen Time in a Polish Population-Based Sample of Primary School Adolescents: Diet and Activity of Youth during COVID-19 (DAY-19) Study

Nutrients ◽

10.3390/nu13051596 ◽

2021 ◽

Vol 13 (5) ◽

pp. 1596

Author(s):

Aleksandra Kołota ◽

Dominika Głąbska

Keyword(s):

Physical Activity ◽

Primary School ◽

Screen Time ◽

Fast Food ◽

Population Based ◽

Polish Population ◽

Remote Education ◽

Physically Active ◽

Validated Questionnaire ◽

Diet And Physical Activity

The Coronavirus-19 disease (COVID-19) pandemic has influenced the nutrition of individuals, including the diet followed, food availability, and food security. However, thus far, only a few studies have been published regarding the diet and activity of children and adolescents. The aim of the present study was to analyze the influence of the COVID-19 pandemic and remote education in this period on the diet and physical activity in a Polish population-based sample of primary school adolescents. In June 2020, the Diet and Activity of Youth during COVID-19 (DAY-19) Study was conducted on a population recruited based on stratified random sampling from all regions (schools sampled from counties, and counties from voivodeships). The sample consisted of a total of 1334 adolescents aged 10–16 years. The study assessed the diet and physical activity of the participants using a validated questionnaire which included questions about the period of remote education and the period before the COVID-19 pandemic. The participants were asked about the following: consumption of fruit, vegetables, soft drinks, water, French fries, and fast food; eating meals in front of the television; and the number of days they are physically active and the number of hours they spend watching television. The obtained data were analyzed by stratifying the respondents by the gender, age, size of the city and total COVID-19 morbidity in the voivodeship. It was observed that, during the pandemic and the resultant remote education, the proportion of respondents who declared the recommended intake of fruits and vegetables had increased compared to that before the pandemic—a higher proportion consumed at least three portions of fruit per day (19.0% before pandemic vs. 27.4% during pandemic; p < 0.0001), as well as three and four or more portions of vegetables per day (11.9% vs. 14.5% and 7.5% vs. 11.1%; p = 0.0004). At the same time, the proportion of respondents consuming at least three cups of water per day had increased (41.1% vs. 47.9%; p = 0.0020), whereas the proportion of respondents who never or rarely eat their meals in front of the television had decreased (35.6% vs. 28.9%; p < 0.0001), and the proportion watching television for more than 2 h a day had increased (78.3% vs. 88.4%; p < 0.0001). Based on the results, it may be concluded that, during the period of remote education due to the COVID-19 pandemic, the dietary behaviors of the studied population of Polish adolescents were more beneficial, which included a higher intake of fruit, vegetables, and water, compared to before the pandemic. In spite of the increasing screen time, including eating in front of the television, there was no reduction in the number of days the respondents were physically active.

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