scholarly journals 463Association of physical activity with obstructive sleep opena

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Miss Xueru Duan ◽  
◽  
◽  
Keyword(s):  
Physical Activity ◽  
Leisure Time Physical Activity ◽  
Longitudinal Design ◽  
Orthogonal Transformation ◽  
Three Dimensions ◽  
Baseline Survey ◽  
Occupational Activity ◽  
Berlin Questionnaire ◽  
Transport Activity ◽  
Obstructive Sleep

Abstract Background Obstructive sleep apnea (OSA) is the most common sleep disorder in clinical practice, which leads to impaired quality of life and is associated with adverse health outcomes. Due to limitations of continuous positive airway pressure (CPAP), the gold standard treatment for OSA, studies have recommended lifestyle interventions such as physical activity to prevent OSA. This study was to investigate the association of physical activity with OSA risk among adult Chinese. Methods 9733 participants aged 35-74 years were selected from baseline survey of the Guangzhou Heart Study. OSA was ascertained by using Berlin Questionnaire and the physical activity, including leisure-time physical activity (LTPA), occupational activity and transport activity, was measured with modified Global Physical Activity Questionnaire. Principal component analysis was used to extract the patterns of LTPA with varimax orthogonal transformation. Odds ratio (OR) with 95% confidence interval (95% CI) was calculated by using logistic regression method. Results For all participants, LTPA (High vs. Inactive, OR: 0.81, 95% CI: 0.64 - 1.03), occupational activity (Vigorous vs. Retirement, OR:1.28, 95% CI: 0.93 - 1.75) and transport activity (High vs. Retirement, OR: 1.05, 95% CI: 0.69 - 1.60) were not associated with OSA risk after considering potential confounders. Any specific component of LTPA and two LTPA patterns were not associated with OSA risk, either. Stratified analysis yielded similar nonsignificant association of OSA risk with three dimensions of physical activity in both retirement group and non-retirement group. Conclusion This study found that three dimensions of physical activity, including LTPA, transport activity and occupational activity, were not associated with any risk of OSA. Future studies with longitudinal design are needed. Key message Physical activity may not decrease the risk of obstructive sleep apena.

Occupational physical activity and cardiovascular disease in the United States

2021 ◽  
pp. oemed-2020-106948
Author(s):  
Tyler D. Quinn ◽  
Patrick L. Yorio ◽  
Peter M. Smith ◽  
Yongsuk Seo ◽  
Geoffrey P. Whitfield ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cardiovascular Disease ◽  
Cardiovascular Health ◽  
Leisure Time Physical Activity ◽  
Smoking Status ◽  
The United States ◽  
Occupational Activity ◽  
Occupational Physical Activity ◽  
Cross Sectional ◽  
Never Smokers

BackgroundEmerging evidence, predominately from European and Asian countries, describes opposing effects of occupational physical activity (OPA) and leisure-time physical activity (LTPA) on cardiovascular health. This analysis examined cardiovascular disease (CVD) prevalence associated with OPA and LTPA.MethodsThis cross-sectional analysis of 2015 National Health Interview Survey data (n=16 974) employed logistic regression to estimate odds (OR) of self-reported CVD (coronary heart disease, heart attack, stroke or angina) with self-reported total occupational activity (TOA), occupational exertion (OE), occupational standing and walking (OSW) and LTPA. OPA was measured using two questions: ‘How often does your job involve…’ (1) ‘repeated lifting, pushing, pulling or bending?’ (OE) and (2) ‘standing or walking around?’ (OSW) with responses on a 5-item Likert scale (0=never, 4=always). TOA was categorised similarly after summing OE and OSW scores. LTPA was defined as 0, 1–149 or ≥150 min/week of moderate-to-vigorous activity. All models adjusted for common socioeconomic variables and additional analyses were stratified by sex, smoking status and LTPA.ResultsOdds for CVD were higher when ‘always’ performing TOA (OR 1.99 95% CI 1.12 to 3.53), OE (OR 2.15, 95% CI 1.45 to 3.19) or OSW (OR 1.84, 95% CI 1.07 to 3.17) compared with ‘never’. When restricting to never-smokers, odds for CVD were higher when ‘always’ performing TOA (OR 3.00, 95% CI 1.38 to 6.51) and OE (OR 3.00, 95% CI 1.80 to 5.02) versus ‘never’.ConclusionAssociations of high OPA with CVD were equally apparent across sexes, stronger in lower LTPA levels and stronger in never-smokers. While uncontrolled confounding is still possible, even after extensive adjustment, the seemingly paradoxical adverse associations with OPA and CVD should be investigated further.

scholarly journals Educational differentials in key domains of physical activity by ethnicity, age and sex: a cross-sectional study of over 40 000 participants in the UK household longitudinal study (2013–2015)

BMJ Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. e033318
Author(s):  
Meg E Fluharty ◽  
Snehal M Pinto Pereira ◽  
Michaela Benzeval ◽  
Mark Hamer ◽  
Barbara Jefferis ◽  
...  
Keyword(s):  
Physical Activity ◽  
Longitudinal Study ◽  
Leisure Time Physical Activity ◽  
Cross Sectional Study ◽  
Occupational Activity ◽  
Activity Levels ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
The Difference ◽  
The Uk

ObjectivesTo assess whether educational differentials in three key physical activity (PA) domains vary by age, sex and ethnicity.DesignNational cross-sectional survey.SettingUK.ParticipantsAltogether 40 270 participants, aged 20 years and over, from the UK Household Longitudinal Study with information on education, PA and demographics collected in 2013–2015.Outcome measuresParticipation in active travel (AT), occupational activity (OA) and leisure time physical activity (LTPA) at the time of assessment.ResultsLower educational attainment was associated with higher AT and OA, but lower weekly LTPA activity; these associations were modified by sex, ethnicity and age. Education-related differences in AT were larger for women—the difference in predicted probability of activity between the highest and the lowest education groups was −10% in women (95% CI: −11.9% to 7.9%) and −3% in men (−4.8% to –0.4%). Education-related differences in OA were larger among men −35% (-36.9% to –32.4%) than women −17% (-19.4% to –15.0%). Finally, education-related differences in moderate-to-vigorous LTPA varied by ethnicity; for example, differences were 17% (16.2% to 18.7%) for white individuals compared with 6% (0.6% to 11.6%) for black individuals.ConclusionsEducational differences in PA vary by domain and are modified by age, sex and ethnicity. A better understanding of physically inactive subgroups may aid development of interventions to both increase activity levels and reduce health inequalities.

A Dutch Translation of a Questionnaire Assessing Self-Efficacy in Leisure-Time Physical Activity

2001 ◽  
Vol 9 (2) ◽  
pp. 223-232 ◽  
Author(s):  
Martin Stevens ◽  
Anita Bakker-van Dijk ◽  
Mathieu H.G. de Greef ◽  
Koen A.P.M. Lemmink ◽  
Piet Rispens
Keyword(s):  
Physical Activity ◽  
Self Efficacy ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Intraclass Correlation ◽  
Reliability And Validity ◽  
Correlation Coefficients ◽  
Three Dimensions ◽  
Dutch Translation ◽  
Sum Scores

The purpose of this study was to assess the reliability and validity of a Dutch translation of a questionnaire to measure self-efficacy in leisure-time physical activity. The questionnaire consisted of three subscales measuring three dimensions of self-efficacy. It was completed by 461 participants, 55–65 years old. Fifty-nine participants took part in a test-retest study. Factor analysis and correlations between the sum-scores of the 3 scales confirmed that each scale measures a different dimension of self-efficacy. The criterion-related validity of 2 of the scales was found to be moderate. All 3 scales had a satisfactory internal consistency, indicating that they are reliable. Stability was assessed with a test-retest procedure, which yielded satisfactory results for 2 of the 3 scales. The results revealed an improvement in self-efficacy for 2 of the scales over a 4-week time period. When outliers were excluded, satisfactory values were obtained for intraclass correlation coefficients between the first and second measurements.

scholarly journals Occupational physical activity, mortality and CHD events in the Italian Longitudinal Study

2021 ◽  
Author(s):  
Elena Strippoli ◽  
Amanda Hughes ◽  
Gabriella Sebastiani ◽  
Paola Di Filippo ◽  
Angelo d’Errico
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Sociodemographic Factors ◽  
Occupational Activity ◽  
Occupational Physical Activity ◽  
Physical And Mental Health ◽  
Cox Models ◽  
Beneficial Effects ◽  
Risk Of Mortality

Abstract Purpose Several recent studies have suggested a ‘physical activity paradox’ whereby leisure-time physical activity benefits health, but occupational physical activity is harmful. However, other studies imply that occupational physical activity is beneficial. Using data from a nationally representative Italian sample, we investigate if the context, or domain, of physical activity matters for mortality and coronary heart disease (CHD) events. Methods Among 40,220 men and women aged 40–55 at baseline, we used Cox models to compare associations of occupational, domestic and leisure-time physical activity with risk of mortality and CHD events over a follow-up period of up to 14 years. We accounted for sociodemographic factors, smoking, body mass index (BMI), physical and mental health, and educational qualifications. Results Occupational physical activity was not significantly associated with risk of mortality or CHD events for women, or with CHD events for men. In crude models, risk of mortality was higher for men in the highest occupational activity group, compared to the lowest (HR 1.26, 95% CI 1.01, 1.57). This attenuated with adjustment for health-related behaviours, health, and education (HR 1.03, 95% CI 0.77, 1.38). In crude models, leisure-time physical activity was significantly associated with decreased mortality and CHD risk only for men. Domestic physical activity was not associated with either outcome for either gender. Conclusion In a large sample of middle-aged Italian workers, we found limited evidence of harmful or beneficial effects of occupational physical activity on mortality or CHD events. However, confidence intervals were wide, and results consistent with a range of effects in both directions.

A Quantitative Survey to Measure Energy Expenditure in Midlife Women

1993 ◽  
Vol 1 (1) ◽  
pp. 29-40 ◽  
Author(s):  
JoEllen Wilbur ◽  
Karyn Holm ◽  
Alice Dan
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Cardiorespiratory Fitness ◽  
Leisure Time Physical Activity ◽  
Three Dimensional ◽  
Leisure Activity ◽  
Midlife Women ◽  
Occupational Activity ◽  
Physical Activity Questionnaire ◽  
Activity Questionnaire

The Taylor Leisure Time Physical Activity Questionnaire and the Tecumseh Occupational Physical Activity Questionnaire were modified to measure energy expenditure in midlife women. A three-dimensional measure of female physical activity resulted which reflected leisure, occupational, and household activities. Total daily energy expenditure for the specific activities was calculated using established metabolic units and reported time spent performing the activities. Test-retest reliability was evaluated at two weeks for 15 % (n = 59) of the sample of 375 midlife women. There was high agreement on participation in the various activities, but low agreement on the time spent doing the activities. Cardiorespiratory fitness, established with a Monarch bicycle ergometer, was used to test the validity of the energy expenditure measure. Correlations were significant between cardiorespiratory fitness and both leisure activity and household activity, but not between cardiorespiratory fitness and occupational activity.

Relationship of leisure-time physical activity and occupational activity to the prevalence of obesity

2001 ◽  
Vol 25 (5) ◽  
pp. 606-612 ◽  
Author(s):  
GA King ◽  
EC Fitzhugh ◽  
DR Bassett Jr ◽  
JE McLaughlin ◽  
SJ Strath ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Occupational Activity ◽  
Prevalence Of Obesity ◽  
Relationship Of
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