Low Amount and Intensity of Leisure-time Physical Activity in Asian Indian Adults

2021 ◽  
pp. 089011712110598
Author(s):  
Aayush Visaria ◽  
Bharath Nagaraj ◽  
Megh Shah ◽  
Nikhit Kethidi ◽  
Anurag Modak ◽  
...  
Keyword(s):  
Physical Activity ◽  
Racial Differences ◽  
Asian Indian ◽  
Leisure Time ◽  
Asian Indians ◽  
Health Care Service ◽  
Lower Odds ◽  
Muscle Strengthening ◽  
Highly Active ◽  
Metabolic Equivalents

Purpose We sought to describe leisure-time, aerobic, and muscle strengthening physical activity (PA) patterns in U.S. Asian Indians, in comparison to other races/ethnicities. Design, Setting, and Sample We utilized the 2011–2018 National Health Interview Surveys, a set of cross-sectional, nationally representative surveys of the U.S. noninstitutionalized population. Our study population included 257 652 adults who answered PA questions. Measures PA was classified per 2008 U.S. guidelines and continuously per estimated metabolic equivalents (METs). Race was classified into White, Black, Asian Indian, Other Asian, and American Indian/Alaskan Native/Multiracial. Analysis We used survey design-adjusted, multivariable logistic regression to determine odds of sufficient and highly active physical activity levels, adjusting for predisposing, enabling, need, and health care service factors as guided by the Anderson Model. We also used linear regression to determine racial differences in average MET-minutes/week. Analysis was additionally stratified by comorbidity status. Results While Asian Indians (N = 3049) demonstrated similar odds of sufficient aerobic PA as Whites (aOR [95% CI]: .97 [.88,1.07]), Asian Indians had 22% lower odds of meeting highly active aerobic PA levels (.78 [.71,0.87]) and 18% lower odds of meeting sufficient muscle strengthening PA levels (.82 [.73,0.91]). This translated to an average 172 (95% CI: 45 300) fewer MET-minutes. Furthermore, this decrease in MET-minutes/week was especially apparent in those without hypertension (β[95% CI]: −164 [-314,-15]) without diabetes (−185 [-319,-52]), and low/normal BMI (−422 [-623,-222]). Conclusion Asian Indians, especially those without comorbidities, are less likely to engage in high-intensity physical activity than Whites.

scholarly journals Racial/Ethnic Differences in Leisure-Time Physical Activity Among United States Adults With and Without Diabetes

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A474-A474
Author(s):  
Aayush Visaria ◽  
Nikhit Kethidi ◽  
Rachana Chilakapati ◽  
Jai Shahani ◽  
Anurag Modak ◽  
...  
Keyword(s):  
Physical Activity ◽  
Ethnic Differences ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Moderate Level ◽  
Lower Odds ◽  
Muscle Strengthening ◽  
Highly Active ◽  
Metabolic Equivalents ◽  
Racial Ethnic

Abstract Background: Physical activity (PA) is a key lifestyle recommendation for diabetes mellitus (DM) prevention and management. The purpose of this study was to describe the patterns of leisure-time, aerobic & muscle-strengthening PAs across races/ethnicities and DM status. Methods: We included 91,386 adults ≥18 years from the 2011–2018 National Health Interview Surveys who were able to participate in light-moderate PA. Aerobic PA was classified per 2008 guidelines as inactive (0 minutes/week [min/wk] of moderate or vigorous activity), insufficiently active (0–150 moderate-equivalent min/wk, defined as sum of moderate-level and 2*vigorous-level PA), sufficiently active (150–300 moderate-equivalent min/wk), and highly active (>300 min/wk of moderate-level PA, >150 min/wk of vigorous-level PA, or >300 moderate-equivalent min/wk). We also classified aerobic PA continuously in terms of metabolic equivalents (METs; 4 METs for moderate and 8 METs for vigorous PA). Muscle-strengthening PA was dichotomized into ≥3 times/wk (adequate) and <3 times/wk (inadequate). Race/ethnicity was categorized as non-Hispanic White (NHW), non-Hispanic Black (NHB), Asian Indian (AI), Other Asian (OA), and Hispanic/Other (H/O). We used self-reported DM-stratified multivariable logistic and linear regression to assess racial/ethnic differences in PA. All analyses accounted for the survey design and weights to obtain nationally representative estimates. Results: Among the 91,386 participants, 45,676 (53%) were male, 11,835 (10%) were ≥65 years, and 5,106 (5.2%) had DM. Asian groups had lower adequate muscle-strengthening PA than others (%[SE]: NHW, 35[0.3]%; NHB, 35[0.7]%; AI, 27[1.6]%; OA, 30[1.3]%; H/O, 34[0.8]%; p<0.0001). AIs also had a lower proportion of ‘highly active’ individuals (%[SE]: NHW, 67[0.2]%; NHB, 65[0.7]%; AI, 57[1.8]%; OA, 61[1.5]%; H/O, 67[0.8]%; p<0.0001). Non-DM AIs had mean (SE) 622 (133) lower METs than NHWs (covariate adjusted mean METs [SE]: NHW, 3,568 [305]; NHB, 3,873 [309]; AI, 2,946 [333]; OA, 3,107 [321]; H/O, 3,736 [325]; p<0.001). This difference was also present in those with DM (adjusted mean METs [SE]: NHW, 2,231 [314]; NHB, 2,231 [379]; AI, 1,366 [456]; OA, 1,847 [495]; H/O, 2,454 [401]; p=0.013). Non-DM AIs and OAs had ~30% lower odds of being at least ‘sufficiently active’ relative to NHWs (aOR [95% CI]: AI, 0.70 [0.56, 0.87]; OA, 0.72 [0.61, 0.85]). All races/ethnicities had lower odds of adequate muscle-strengthening PA compared to NHWs (aOR [95% CI]: NHB, 0.94 [0.90, 0.99]; AI, 0.68 [0.60, 0.79]; OA, 0.75 [0.68, 0.84]; H/O, 0.73 [0.69, 0.77]). These inverse associations persisted in DM-diagnosed OAs, but not AIs. Conclusion: Among those with and without DM, there exist racial/ethnic differences in strength-related and aerobic activities. Asian groups may benefit from aggressive counseling and PA interventions to both prevent and manage DM.

scholarly journals Excess Body Mass and Leisure Time Physical Activity in the Incidence and Persistence of Chronic Pain

Pain Medicine ◽  
2020 ◽  
Vol 21 (11) ◽  
pp. 3094-3101
Author(s):  
Rahman Shiri ◽  
Tea Lallukka ◽  
Ossi Rahkonen ◽  
Päivi Leino-Arjas
Keyword(s):  
Physical Activity ◽  
Chronic Pain ◽  
Body Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
The Body ◽  
Health Study ◽  
Highly Active ◽  
The City

Abstract Objective To estimate the effects of excess body mass and leisure time physical activity on the incidence and persistence of chronic pain. Design A prospective cohort study. Methods As a part of the Finnish Helsinki Health Study, we included three cohorts of employees of the City of Helsinki (18,562 observations) and defined incident chronic pain as having pain in any part of the body for more than three months at follow-up in participants without chronic pain at baseline (N = 13,029 observations). Persistent chronic pain was defined as having pain for more than three months at both baseline and follow-up (N = 5,533 observations). Results Overweight (adjusted odds ratio [OR] = 1.18, 95% confidence interval [CI] = 1.06–1.31) and obesity (OR = 1.65, 95% CI = 1.45–1.88) increased the incidence of chronic pain. Moreover, overweight (OR = 1.16, 95% CI = 1.02–1.32) and obesity (OR = 1.48, 95% CI = 1.26–1.74) increased the risk of persistent chronic pain. Vigorous leisure time physical activity reduced the incidence of chronic pain (OR = 0.85, 95% CI = 0.75–0.96). Physical activity did not influence the risk of persistent chronic pain. Furthermore, overweight/obesity modified the effect of leisure time physical activity on incident chronic pain. Inactive overweight or obese participants were at the highest risk of chronic pain (OR = 1.71, 95% CI = 1.40–2.09), while the OR dropped to 1.44 (95% CI = 1.19–1.75) in moderately active overweight or obese participants and to 1.20 (95% CI = 0.97–1.47) in highly active overweight or obese participants. Conclusions Obesity not only increases the risk of developing chronic pain, but also increases the risk of persistent pain, while leisure time physical activity reduces the risk of developing chronic pain.

scholarly journals Rural-Urban Differences in Meeting Physical Activity Recommendations and Health Status in Cancer Survivors in Central Pennsylvania

2019 ◽  
Author(s):  
Scherezade K. Mama ◽  
Nishat Bhuiyan ◽  
Wayne Foo ◽  
Joel E. Segel ◽  
Shirley M. Bluethmann ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Status ◽  
Cancer Survivors ◽  
Leisure Time ◽  
Cancer Type ◽  
Physical And Mental Health ◽  
Urban Residence ◽  
Logistic Regression Models ◽  
Muscle Strengthening ◽  
Central Pennsylvania

Abstract Background: This study explored rural-urban differences in meeting physical activity (PA) recommendations and health status in cancer survivors in central Pennsylvania and associations between PA and health status. Methods: Cancer survivors (N=2,463) were identified through a state cancer registry and mailed questionnaires assessing PA and health status. Rural-urban residence was based on county of residence at diagnosis. Participants self-reported frequency and duration of leisure-time PA and were classified as: 1) meeting aerobic recommendations (≥150 minutes/week), 2) muscle-strengthening recommendations (≥2 times/week), 3) both aerobic and muscle-strengthening recommendations, or 4) neither recommendation. Logistic regression models examined associations between rural-urban residence and meeting PA recommendations and associations between PA and health status, adjusting for cancer type, gender and income. Results: Nearly 600 (N=591, 24.0%) cancer survivors returned completed questionnaires (rural 9.5%, urban 90.5%). Half (50.0%) of rural cancer survivors reported no leisure-time PA compared to 35.2% of urban cancer survivors (p=.020), and urban cancer survivors were 2.6 times more likely to meet aerobic PA recommendations (95% CI: 1.1-6.4). Odds of reporting good physical and mental health were 2.3 times higher among survivors who reported meeting aerobic recommendations compared to those who did not meet PA recommendations (95% CI: 1.1-4.5), adjusting for rurality and covariates. Conclusions: Results demonstrate persistent rural-urban differences in meeting PA recommendations in cancer survivors and its association with self-reported health. These findings underscore the need for interventions to increase PA in rural cancer survivors in an effort to improve health status and reduce cancer health disparities in this population.

Is a smartphone application effective in improving physical activity among medical school students? Results from a quasi-experimental study

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Naveen Pentakota ◽  
Gomathi Ramaswamy ◽  
Pruthu Thekkur ◽  
Divya Nair ◽  
Palanivel Chinnakali ◽  
...  
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Experimental Study ◽  
Leisure Time ◽  
Smartphone Application ◽  
Anthropometric Measurements ◽  
World Health ◽  
Medical College ◽  
Metabolic Equivalents ◽  
Quasi Experimental

Abstract Introduction Physical activity (PA) is proven to be an effective strategy to avert the life threatening cardiovascular diseases. There is need for developing feasible aids to improve compliance to PA. Hence, we conducted a study among medical college students a) to assess the prevalence of recommended PA level and b) to assess the effectiveness of installing a smartphone application (app) in improving PA. Methodology A quasi-experimental study was conducted among medical college students in Puducherry, India. The baseline PA was assessed using the Global Physical Activity Questionnaire (GPAQ) and anthropometric measurements such as height and weight were measured as per World Health Organization (WHO) standards. A smartphone app (Runtastic) was installed on the mobile phones of all study participants. At the end of 1 month, the end line PA and anthropometric measurements were captured using same scales. Results Of the total 350 students who were included, the mean age of the participants was 18.9 (0.9) years and 58% of them were male. The proportion of participants with the WHO recommended level of PA increased from 81% at the baseline to 91% after 1 month of installation of the mobile app (p < 0.001). There was also a statistically significant increase in the leisure time PA [median (interquartile range – IQR) of metabolic equivalents (METS): 0 (0–1600) vs. 1260.0 (0–1920)]. Clinically significant change was not seen in body mass index (BMI) though the reduction was statistically significant [(mean (standard deviation – SD) of BMI: 22.54 (2.49) vs. after intervention 22.46 (2.47); p = 0.018]. Conclusion This quasi-experimental study conducted among medical college students reported significant improvement in total and leisure time PA.

Relation of Body Mass Index and Body Fat Mass for Spanish University Students, Taking into Account Leisure-Time Physical Activity

2009 ◽  
Vol 108 (2) ◽  
pp. 343-348 ◽  
Author(s):  
Javier Molina-García ◽  
Isabel Castillo ◽  
Carlos Pablos ◽  
Ana Queralt
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
University Students ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Body Fat Mass ◽  
Metabolic Equivalents

The objective of this cross-sectional study was to analyze the relation of Body Mass Index with body fat mass while taking into account the amount of leisure-time physical activity for 299 male university students. Body fat mass was measured by bioelectrical impedance analysis. An estimation of energy expenditure in leisure-time physical activity in metabolic equivalents (METs) was obtained so participants were divided into six activity groups by percentile: no physical activity by the first group and participants physically active were divided into five groups by percentiles: <25%, 26–50%, 51–75%, 76–90%, and 91–100%. Correlations of Body Mass Index with body fat mass were strong in different groups—values ranged from .76 to .85, except for the >90% group.

Leisure time physical activity prevents accumulation of central fat in HIV/AIDS subjects on highly active antiretroviral therapy

2007 ◽  
Vol 18 (10) ◽  
pp. 692-696 ◽  
Author(s):  
Alex Antonio Florindomph ◽  
Maria do Rosario Dias de Oliveira Latorre ◽  
Patrícia Constante Jaime ◽  
Aluísio Augusto Cotrim Segurado
Keyword(s):  
Physical Activity ◽  
Antiretroviral Therapy ◽  
Highly Active Antiretroviral Therapy ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Subcutaneous Fat ◽  
Significant Negative Correlation ◽  
Cross Sectional ◽  
Highly Active ◽  
Hiv Aids

The aim of this study was to verify the relationship between habitual physical activity and body fat in HIV/AIDS subjects on highly active antiretroviral therapy. This was a cross-sectional study covering 169 men and 51 women. It was conducted at the AIDS Clinic of the School of Medicine, University of São Paulo. The dependent variables analysed were central subcutaneous fat (CSF) and waist-to-hip-ratio (WHR). The independent variable was the score for leisure time physical activity (LTPA). The control variables were sex, age, education, energy intake, body mass index, smoking, diagnosis of AIDS, T-CD4+ lymphocyte levels and duration of use of protease inhibitors. Multiple linear regressions were used for statistical analysis. After controls, there was significant negative correlation for LTPA with CSF ( β=−2.849; Pvariable=0.013; r2adjusted=0.65; Pmodel<0.001), and LTPA was in the limit of the significance with WHR ( β=−0.005; Pvariable=0.073; r2adjusted=0.41; Pmodel<0.001). Physical activity contributed towards preventing fat accumulation in HIV/AIDS subjects.

scholarly journals Physical Activity and Its Related Factors during the First COVID-19 Lockdown in Germany

2021 ◽  
Vol 13 (10) ◽  
pp. 5711
Author(s):  
Eszter Füzéki ◽  
Jan Schröder ◽  
David A. Groneberg ◽  
Winfried Banzer
Keyword(s):  
Physical Activity ◽  
Regression Analysis ◽  
Fixed Effects ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Binary Logistic Regression Analysis ◽  
Paired Data ◽  
Muscle Strengthening ◽  
Physical Activity Recommendations ◽  
Activity Recommendations

Lockdown measures including the closure of physical activity facilities were installed against the spread of the novel coronavirus in March 2020. The aim of the current online survey was to assess the lockdown effects on physical activity in German adults. We assessed physical activity using the European Health Interview Survey (EHIS) questionnaire. Pre-lockdown vs. lockdown differences were tested with the Χ2 test and the Student’s t-test for paired data. Predictor variables to explain compliance with physical activity recommendations were identified using a fixed effects binary logistic regression analysis. Data of 979 respondents were analyzed. Transport related and leisure time physical activity decreased (p < 0.001, d = 0.16; p < 0.001, d = 0.22, respectively). Compliance with physical activity recommendations decreased from 38.1% to 30.4% (chi2 [1, 1958] = 12.754, p < 0.001, V = 0.08). In the regression analysis, BMI (OR 0.944, 95% CI 0.909–0.981; p = 0.003), education (OR 1.111, 95% CI 1.021–1.208; p = 0.015), transport related (OR 1.000, 95% CI 1.000–1.000; p = 0.008) and leisure time physical activity (OR 1.004, 95% CI 1.003–1.004; p < 0.001), muscle strengthening (OR 5.206, 95% CI 4.433–6.114; p < 0.001), as well as the ‘lockdown vs. normal’ categorical variable (OR 0.583, 95% CI 0.424–0.802; p = 0.001) showed a contribution, while sex (p = 0.152), age (p = 0.266), work related physical activity (p = 0.133), and remote working (p = 0.684) did not. Physical activity declined in German adults, and should also be promoted in light of the emerging evidence on its protective effects of against COVID-19. Special attention should be given to muscle strengthening activities and groups with lower educational attainment.

scholarly journals Associations Between Trajectories of Leisure-Time Physical Activity and Television Viewing Time Across Adulthood: The Cardiovascular Risk in Young Finns Study

2019 ◽  
Vol 16 (12) ◽  
pp. 1078-1084
Author(s):  
Xiaolin Yang ◽  
Irinja Lounassalo ◽  
Anna Kankaanpää ◽  
Mirja Hirvensalo ◽  
Suvi P. Rovio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Television Viewing ◽  
Leisure Time Physical Activity ◽  
Mixture Modeling ◽  
Self Report ◽  
Lower Probability ◽  
Viewing Time ◽  
Highly Active ◽  
Very High

Background: The purpose of this study was to examine trajectories of leisure-time physical activity (LTPA) and television-viewing (TV) time and their associations in adults over 10 years. Methods: The sample comprised 2934 participants (men, 46.0%) aged 24–39 years in 2001 and they were followed up for 10 years. LTPA and TV time were assessed using self-report questionnaires in 2001, 2007, and 2011. Longitudinal LTPA and TV-time trajectories and their interactions were analyzed with mixture modeling. Results: Three LTPA (persistently highly active, 15.8%; persistently moderately active, 60.8%; and persistently low active, 23.5%) and 4 TV time (consistently low, 38.6%; consistently moderate, 48.2%; consistently high, 11.7%; and consistently very high, 1.5%) trajectory classes were identified. Persistently highly active women had a lower probability of consistently high TV time than persistently low-active women (P = .02), whereas men who were persistently highly active had a higher probability of consistently moderate TV time and a lower probability of consistently low TV time than their persistently low-active counterparts (P = .03 and P = .01, respectively). Conclusions: Maintaining high LTPA levels were accompanied by less TV over time in women, but not in men. The associations were partially explained by education, body mass index, and smoking.

scholarly journals Effect of Underlying Cardiometabolic Diseases on the Association Between Sedentary Time and All‐Cause Mortality in a Large Japanese Population: A Cohort Analysis Based on the J‐MICC Study

2021 ◽  
Author(s):  
Teruhide Koyama ◽  
Etsuko Ozaki ◽  
Nagato Kuriyama ◽  
Satomi Tomida ◽  
Tamami Yoshida ◽  
...  
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Japanese Population ◽  
Leisure Time ◽  
Sedentary Time ◽  
Leisure Time Physical Activity ◽  
Categorical Variables ◽  
Cardiometabolic Diseases ◽  
Metabolic Equivalents ◽  
All Cause Mortality

Background This study aimed to determine the association between sedentary time and mortality with regard to leisure‐time physical activity with or without cardiometabolic diseases such as hypertension, dyslipidemia, and diabetes mellitus. Methods and Results Using data from the J‐MICC (Japan Multi‐Institutional Collaborative Cohort) Study, 64 456 participants (29 022 men, 35 434 women) were analyzed. Hazard ratios (HRs) and 95% CIs were used to characterize the relative risk of all‐cause mortality to evaluate its association with sedentary time (categorical variables: <5, 5 to <7, 7 to <9, ≥9 h/d and 2‐hour increments in exposure) according to the self‐reported hypertension, dyslipidemia, and diabetes mellitus using a Cox proportional hazards model. A total of 2257 participants died during 7.7 years of follow‐up. The corresponding HRs for each 2‐hour increment in sedentary time among participants with all factors, no factors, hypertension, dyslipidemia, and diabetes mellitus were 1.153 (95% CI, 1.114–1.194), 1.125 (95% CI, 1.074–1.179), 1.202 (95% CI, 1.129–1.279), 1.176 (95% CI, 1.087–1.273), and 1.272 (95% CI, 1.159–1.396), respectively. Furthermore, when analyzed according to the combined different factors (hypertension, dyslipidemia, and diabetes mellitus), HRs increased with each additional factor, and participants reporting all 3 conditions had the highest HR of 1.417 (95% CI, 1.162–1.728) independently of leisure‐time metabolic equivalents. Conclusions The association between sedentary time and increased mortality is stronger among patients with hypertension, dyslipidemia, and diabetes mellitus regardless of leisure‐time physical activity in a large Japanese population.

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