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Background: The aim of this cross-sectional study was to elucidate the associations between various domains of physical activity, such as occupation-related (OPA), transportation-related (TPA), leisure-time (LTPA) and overall physical activity (PA), and diabetic kidney disease. Methods: Our study encompassed 2,633 participants, drawn from the cross-sectional surveys of the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2018, and employed survey-weighted logistic regression, generalized linear regression, and restricted cubic spline (RCS) analyses to ascertain the relationship between different domains of physical activity and diabetic kidney disease. Results: After controlling for all confounders, multivariate logistic regression analyses revealed a lack of correlation between the various domains of physical activity and the prevalence of diabetic kidney disease. Multiple generalized linear regression analyses showed that durations of PA (ß = 0.05, 95% CI, 0.01-0.09, P = 0.012) and TPA (ß = 0.32, 95% CI, 0.10-0.55, P = 0.006) were positively associated with eGFR levels; and LTPA durations were inversely associated with UACR levels (ß = -5.97, 95% CI, -10.50 - -1.44, P = 0.011). The RCS curves demonstrated a nonlinear relationship between PA, OPA, and eGFR, as well as a nonlinear correlation between PA and ACR. Subgroup and sensitivity analyses largely aligned with the outcomes of the multivariate generalized linear regression, underscoring the robustness of our findings. Conclusion: Our population-based study explored the association between different domains of physical activity and diabetic kidney disease. Contrary to our expectations, we found no significant association between the duration of physical activity across all domains and the prevalence of diabetic nephropathy. Nonetheless, renal function markers, including eGFR and UACR, exhibited significant correlations with the duration of total physical activity (TPA) and leisure-time physical activity (LTPA), respectively, among diabetic patients. Interestingly, our findings suggest that diabetic patients engage in physical activity to preserve renal function, ensuring moderate exercise durations not exceeding 35 hours per week.

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BACKGROUND: The global prevalence of insufficient physical activity (PA) was reported to be 27.5% in 2016, and there were stable levels of insufficient PA worldwide between 2001 and 2016. The global target of a 10% reduction in insufficient PA by 2025 will not be met if the trends remain. The relevant data for trends in China were still scarce. This study aimed to determine nationwide temporal trends in insufficient PA among adults in China from 2010 to 2018. METHODS: 645 903 adults aged 18 years or older were randomly selected from four nationally representative cross-sectional surveys of the China Chronic Disease and Risk Factor Surveillance conducted in 2010, 2013, 2015, and 2018. PA was measured using the Global Physical Activity Questionnaire. Temporal changes in insufficient PA prevalence and participation of domain-specific moderate- to vigorous-intensity PA (MVPA) were analyzed using logistic regression. RESULTS: From 2010 to 2018, the age-adjusted prevalence of insufficient PA in China increased from 17.9% (95% confidence interval 16.3% to 19.5%) in 2010 to 22.3% (20.9% to 23.8%) in 2018 (P for trend < 0.001). By age group, with a significant increase in insufficient PA in adults aged 18-34 years (P for trend < 0.001), which rose more rapidly than in adults aged ≥ 35 years (P for interaction < 0.001). Insufficient PA has increased significantly among adults engaged in agriculture-related work, non-manual work, and other manual work (all P for trend < 0.05). And among the occupational groups, those engaged in agriculture-related work had the fastest increase (P for interaction = 0.01). The percentage of adults participating in work-related MVPA decreased from 79.6% (77.8% to 81.5%) to 66.8% (64.9% to 68.7%) along with a decrease in time spent on work-related MVPA, while percentages of adults participating in recreation-related MVPA increased from 14.2% (12.5% to 15.9%) to 17.2% (16.0% to 18.4%) (all P for trend < 0.05). CONCLUSIONS: Among Chinese adults, an increasing trend was found in insufficient PA from 2010 to 2018, with more than one-fifth of adults failing to achieve the recommendation of adequate PA. More targeted PA promotion strategies should be developed to improve population health.

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PURPOSE: This study aims to investigate the association between domain-specific physical activity (PA), sedentary behavior, subjective health perception, and health-related quality of life (HR-QoL) in Korean adults aged ≥ 65 years. METHODS: This cross-sectional study analyzed 6,004 older adults from the Korean National Health and Nutrition Examination Survey 2017-2020. PA and sedentary behavior were measured using a global PA questionnaire, and HR-QoL was assessed using the EuroQol-5 Dimension (EQ-5D, three-level version). Multiple logistic regression was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) after adjusting for confounding parameters. RESULTS: Older adults who were physically active at work showed a negative association with subjectively good health and HR-QoL, whereas those physically active in transport or leisure time showed a positive association with subjectively good health and HR-QoL. Older adults highly engaged in sedentary behavior showed a worse perception of health and HR-QoL. Compared to high sedentary behavior and physical activity during leisure time or transport, the EQ-5D index was higher than that of their counterparts. CONCLUSION: Both domain-specific PA and sedentary behavior were significantly associated with older adults' perception of health and HR-QoL. Interventions are needed to improve HR-QoL by reducing sedentary behavior and encouraging physical activity in transportation or leisure time among adults aged 65 years and above.

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Physical inactivity (PI) has been described as an independent risk factor for a large number of major non-communicable diseases and is associated with an increased risk of premature death. Additionally, sedentary behaviour has been associated with increased overall mortality. We estimated the national prevalence of PI and sedentary behaviour using the Global Physical Activity Questionnaire version 2. Using unconditional logistic regressions, the possible risk factors for PI were assessed. Over half of the people included in this study (54.9%; 95% CI: 54.1-57.3%) were physically inactive, with the median time spent engaged in sedentary behaviour being 120 min per day. Statistically significant associations with PI were observed with regard to sex, living area, and alcohol consumption. PI prevalence in Panama was elevated and showed a sex difference (women: 64.7%, 95% CI: 63.7-66.7%; men: 43.4%, 95% CI: 41.5-47.5%). According to our analysis of three-domain-related physical activities, the main contribution to the total estimated energy expenditure of physical activity/week came from the transport domain, followed by the work/household domain, and the least significant contributor was consistently the domain of exercise- and sports-related physical activities.

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Introduction: Lifestyle modifications can reduce the risk of type 2 diabetes mellitus (T2DM) and hypertension. Our study investigated whether domain-specific physical activity (such as work, transport and leisure) and sedentary behaviour were associated with T2DM and hypertension, and whether these associations were moderated by sex and age. Method: For this cross-sectional study, data were obtained from a population survey in Singapore (n=2,867) conducted from February 2019 to March 2020. T2DM and hypertension were self-reported. Global physical activity questionnaire was used to assess domain-specific physical activity (in metabolic equivalent of task [MET]-minutes) and sedentary time (in hours). Logistic regression models were generated to examine the abovementioned associations, and adjusted for age, sex, education, ethnicity, personal income, body mass index, diet and hypertension/diabetes. Interaction terms were included individually to investigate whether age and sex moderated the associations. Results: Individuals with >826 MET-minutes of leisure-related physical activity per week had lower odds of having T2DM (odds ratio [OR] 0.46, 95% confidence interval [CI] 0.24-0.86) and hypertension (OR 0.59, 95% CI 0.37-0.94) than those with no leisure-related physical activity. Individuals with >8 hours of sedentary time daily had higher odds of having hypertension (OR 1.69, 95% CI 1.06-2.69) than those with 0-5 hours of sedentary time. Logistic regression models including interaction terms showed that the association between leisure-related physical activity and hypertension was significant for those aged 18-34 (OR 0.15, 95% CI 0.03-0.66) and 50-64 years (OR 0.44, 95% CI 0.21-0.91). The association between sedentary time and hypertension was significant for those aged 18-34 years (OR 15.07, 95% CI 1.69-133.92). Conclusion: Our results support the widespread promotion of an active lifestyle to lower the prevalence of diabetes and hypertension in Singapore.

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BACKGROUND: It remains unclear whether all physical activity (PA) domains (e.g., occupation-related PA [OPA], transportation-related PA [TPA], and leisure-time PA [LTPA]) have equivalent beneficial relationships. We aimed to investigate the associations of OPA, TPA, and LTPA with depressive symptoms in adults. METHODS: We included and analyzed 31,221 participants (aged ≥18 years) from the cross-sectional 2007-2018 U.S. National Health and Nutrition Examination Survey (NHANES). The PA domains were assessed by a self-report questionnaire and categorized based on the PA guidelines. Depressive symptoms were measured by the nine-item Patient Health Questionnaire. RESULTS: Participants achieving PA guidelines (≥150 min/week) were 26% (odds ratio [OR] 0.74, 95% confidence interval [CI] 0.68-0.80) and 43% (OR 0.57, 95% CI 0.51-0.62) less likely to have depressive symptoms depending on total PA and LTPA, respectively, while OPA or TPA did not demonstrate lower risks of depressive symptoms. LTPA at levels of 1-149, 150-299, and ≥300 min/week was associated with 31% (OR 0.69, 95% CI 0.60-0.78), 43% (OR 0.57, 95% CI 0.49-0.67), and 51% (OR 0.49, 95% CI 0.43-0.55) lower odds of depressive symptoms, respectively. CONCLUSION: LTPA, but not OPA or TPA, was associated with a lower risk of depressive symptoms at any amount, suggesting that significant mental health would benefit from increased PA, even at levels below the recommendation.

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OBJECTIVES: This study aimed to explore the socio-economic inequalities in physical activity (PA) based on domains of daily life, such as work, transport, recreation and sedentary life, among Japanese adults during the COVID-19 pandemic. STUDY DESIGN: This was a cross-sectional study. METHODS: This study used data from the 2020 National Sport and Lifestyle Survey, conducted by the Sasakawa Sports Foundation. Data of 2,296 (1,103 women) participants were analysed. PAs were assessed using the Global Physical Activity Questionnaire. Educational level and household income were used as indicators of socio-economic status. We calculated the slope index of inequality (SII) and relative index of inequality (RII). RESULTS: We detected absolute and relative inequalities for household income in all PA domains, except for work-related PA. The higher the participants' income, the longer they engaged in transport- and recreation-related PA and sedentary behaviour. Recreation-related PA had a larger disparity than other domains, with SII at 20.8% (95% confidence interval [CI] -28.4 to -13.1) and RII at 0.58 (95% CI 0.47-0.71). At the educational level, each inequality was observed in work- and recreation-related PA and sedentary behaviour. The higher the participants' educational level, the longer they engaged in recreation-related PA and sedentary behaviour. However, work-related PA was longer at lower educational levels, with RII at 1.90 (95% CI 1.48-2.44). The inequality in recreation-related PA was also relatively large (SII 23.3%, 95% CI -30.9 to -15.7; RII 0.54, 95% CI 0.45-0.66). CONCLUSION: Our study revealed significant socio-economic disparities in each PA domain, particularly in recreational PA. These results suggest a widening gap because of the COVID-19 pandemic.

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BACKGROUND: This study aimed to investigate the associations of domain-specific physical activity (PA) with the prevalence of depressive symptoms. METHODS: We analyzed data from 11,679 (5,056 men and 6,623 women) participants aged ³19 years in the Korea National Health and Nutrition Examination Survey (2016 and 2018 waves). Depressive symptoms were measured using the Korean version of the Patient Health Questionnaire-9 (PHQ-9), with a cut-off score for depression of 11. The participants were first categorized by sex, and then by their PA level in different PA domains into three different groups. We examined the correlations between domain-specific PA and depressive symptoms using logistic regression analysis after controlling for confounders. RESULTS: Total amount of PA was not associated with depressive symptoms. However, in both sexes, those high in leisure and transport PA had lower levels of depressive symptoms compared with those with no leisure and transport PA (p for trend <0.001). After adjusting for covariates, those high in work PA showed a significantly higher likelihood of having depressive symptoms both in male (OR= 2.74, 95% CI 1.56-4.82) and female participants (OR= 2.84, 95% CI 1.70-4.49), compared to those with no work PA. LIMITATION: Cross-sectional nature of the data prevents causal associations. CONCLUSIONS: Although the total amount of PA participation was not associated with depressive symptoms, domain-specific PAs were differently associated with depressive symptoms. Specifically, higher amount of work PA was significantly associated with higher prevalence of depressive symptoms; this topic deserves further attention and future investigation.

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Background Whether all domains of daily-life moderate-to-vigorous physical activity (MVPA) are associated with lower blood pressure (BP) and how this association depends on age and body mass index remains unclear. Methods and Results In the population-based Lifelines cohort (N=125 402), MVPA was assessed by the Short Questionnaire to Assess Health-Enhancing Physical Activity, a validated questionnaire in different domains such as commuting, leisure-time, and occupational PA. BP was assessed using the last 3 of 10 measurements after 10 minutes' rest in the supine position. Hypertension was defined as systolic BP ≥140 mm Hg and/or diastolic BP ≥90 mm Hg and/or use of antihypertensives. In regression analysis, higher commuting and leisure-time but not occupational MVPA related to lower BP and lower hypertension risk. Commuting-and-leisure-time MVPA was associated with BP in a dose-dependent manner. ß Coefficients (95% CI) from linear regression analyses were -1.64 (-2.03 to -1.24), -2.29 (-2.68 to -1.90), and finally -2.90 (-3.29 to -2.50) mm Hg systolic BP for the low, middle, and highest tertile of MVPA compared with "No MVPA" as the reference group after adjusting for age, sex, education, smoking and alcohol use. Further adjustment for body mass index attenuated the associations by 30% to 50%, but more MVPA remained significantly associated with lower BP and lower risk of hypertension. This association was age dependent. ß Coefficients (95% CI) for the highest tertiles of commuting-and-leisure-time MVPA were -1.67 (-2.20 to -1.15), -3.39 (-3.94 to -2.82) and -4.64 (-6.15 to -3.14) mm Hg systolic BP in adults <40, 40 to 60, and >60 years, respectively. Conclusions Higher commuting and leisure-time but not occupational MVPA were significantly associated with lower BP and lower hypertension risk at all ages, but these associations were stronger in older adults.

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The potential beneficial effects of physical activity during pregnancy on postpartum depressive symptoms (PPD) remain inconclusive. Using data from two prospective French birth cohorts, we aimed to examine the relationship between domain-specific physical activity (including leisure-time sedentary behavior) in pregnancy and the occurrence of PPD. Participants of the ELFE cohort (n = 15,538) completed the Pregnancy Physical Activity Questionnaire (PPAQ), which assesses the following physical activity/sedentary behavior domains: household/caregiving, occupational, sports/exercise, transportation and leisure-time sedentary behavior during the third pregnancy trimester. In the EDEN cohort (n = 1745) women completed the Baecke Questionnaire (BQ) measuring occupational, sports/exercise, and leisure-time activity during the first trimester of pregnancy. Depressive symptoms in the first postpartum year were measured using the Edinburgh Postnatal Depression Scale in both cohorts. Associations of physical activity/sedentary behavior with PPD symptoms were determined by logistic regression analysis, with adjustment on potential confounding factors. In the adjusted models, higher levels of household/caregiving activities (OR = 1.10 (95% CI 1.01-1.19)) and leisure-time sedentary behavior (OR = 1.16 (95% CI 1.06-1.23)), in the third pregnancy trimester were associated with an increased odds of PPD. No significant associations were found for physical activity domains during the first pregnancy trimester. Higher levels of household and caregiving activities and leisure-time sedentary behavior in the last trimester of pregnancy appear to increase the likelihood of postpartum depression. Purpose and context should be taken into account when encouraging physical activity as a strategy to help prevent postpartum mental health problems from pregnancy onwards. Reducing sedentary behavior could be a complementary strategy.

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BACKGROUND: Physical activity reduces the risk of colorectal cancer (CRC), but the relevant evidence derives primarily from self-reported recreational and occupational activity. Less is known about the contribution of other domains of physical activity, such as transport and household. We examined associations between domain-specific physical activities and CRC risk within the Melbourne Collaborative Cohort Study. METHODS: Analyses included 23,586 participants who were free from invasive colorectal cancer and had completed the International Physical Activity Questionnaire-Long Form at follow-up 2 (2003-2007). Cox regression, with age as the time metric, was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for ordinal categories of each physical activity domain. RESULTS: Adjusted HRs for the highest versus the lowest categories of physical activity were 0.71 (95% CI: 0.51-0.98; ptrend = 0.03) for recreational activity; 0.80 (95% CI: 0.49-1.28; ptrend = 0.38) for occupational activity; 0.90 (95% CI: 0.68-1.19; ptrend = 0.20) for transport activity; and 1.07 (95% CI: 0.82-1.40; ptrend = 0.46) for household activity. CONCLUSIONS: Recreational activity was associated with reduced CRC risk. A non-significant, inverse association was observed for occupational activity, whereas no association was found for transport or household domains.

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Background: Physical activity is associated with reduced risk of colorectal cancer, but most epidemiological studies have focused on occupational and recreational physical activity. The evidence for other domains of activity, and for sedentary behaviour, is limited. Methods: Medline, Embase and Web of Science were searched from inception to December 2015 for studies examining domain-specific physical activity or sedentary behaviour and the risk of colon and/or rectal cancer. We extracted maximally adjusted relative risks (RRs) except when RRs not adjusted for body mass index, were also presented. We used random-effects meta-analysis to compute pooled RRs comparing the highest versus the lowest level of exposure. We used meta-regression to assess sources of heterogeneity in estimates. Results: We identified 17 cohort and 21 case-control studies, of which 17 had occupational data, 23 had recreational data, three each had data on transport and household physical activity domains, and 6 studies had data on occupational sedentary behaviour. The pooled relative risks (RRs) for colon cancer were 0.74 (95% confidence interval (CI): 0.67, 0.82) for occupational activity, 0.80 (95% CI: 0.71, 0.89) for recreational activity, 0.66 (95% CI: 0.45, 0.98) for transport-related physical activity, 0.85 (95% CI: 0.71, 1.02) for household physical activity, and 1.44 (95% CI: 1.28, 1.62) for occupational sedentary behaviour. For rectal cancer, the pooled RRs were 0.88 (95% CI: 0.79, 0.98) for occupational activity, 0.87 (95% CI: 0.75, 1.01) for recreational activity, 0.88 (95% CI: 0.70, 1.12) for transport-related physical activity, 1.01 (95% CI: 0.80, 1.27) for household physical activity, and 1.02 (95% CI: 0.82, 1.28) for occupational sedentary behaviour. Conclusions: In addition to increasing occupational and recreational physical activity, promoting physical activity during transport and reducing sedentary behaviour in the workplace may also be useful colorectal cancer prevention strategies.

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OBJECTIVE: To develop and test the utility of a domain-specific physical activity efficacy scale in adolescents for predicting physical activity behaviour. DESIGN: Two independent studies were conducted. Study 1 examined the psychometric properties of a newly constructed Domain-Specific Physical Activity Efficacy Questionnaire (DSPAEQ) and study 2 tested the utility of the scale for predicting leisure- and school-time physical activity. METHODS: In study 1, descriptive physical activity data were used to generate scale items. The scales factor structure and internal consistency were tested in a sample of 272 adolescents. A subsequent sample of Canadian (N = 104) and New Zealand (N = 29) adolescents, was recruited in study 2 to explore the scale's predictive validity using a subjective measure of leisure- and school-time physical activity. RESULTS: A principle axis factor analysis in study 1 revealed a 26-item, five-factor coherent and interpretable solution; representative of leisure and recreation, household, ambulatory, transportation, and school physical activity efficacy constructs, respectively. The five-factor solution explained 81% of the response variance. In study 2 the domain-specific efficacy model explained 16% and 1% of leisure- and school-time physical activity response variance, respectively, with leisure time physical activity efficacy identified as a unique and significant contributor of leisure-time physical activity. CONCLUSION: Study 1 provides evidence for the tenability of a five factor DSPEAQ, while study 2 shows that the DSPEAQ has utility in predicting domain-specific physical activity. This latter finding underscores the importance of scale correspondence between the behavioral elements (leisure-time physical activity) and cognitive assessment of those elements (leisure-time physical activity efficacy).