Correlates of Leisure-Time Physical Activity Differ by Body-Mass-Index Status in Brazilian Adults

2008 ◽  
Vol 5 (4) ◽  
pp. 571-578 ◽  
Author(s):  
Pedro Curi Hallal ◽  
Felipe Fossati Reichert ◽  
Fernando Vinholes Siqueira ◽  
Samuel Carvalho Dumith ◽  
Juliano Peixoto Bastos ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Population Based ◽  
Cross Sectional Study ◽  
Education Level ◽  
Normal Weight ◽  
Cross Sectional

Objectives:The objective of this study was to evaluate physical activity (PA) levels in adults and their association with sex, age, and education level across categories of body mass index (BMI).Methods:We conducted a population-based, cross-sectional study including 3100 individuals age ≥20 years living in Pelotas, Brazil. PA was assessed using the leisure-time section of the long International Physical Activity Questionnaire. “No PA” was defined as zero minutes of activity/week; “insuffcient PA” was defined as <150 minutes of activity/week; “high PA” was defined as ≥500 minutes of activity/week. BMI was categorized into normal (<25 kg/m2), overweight (25–29.9 kg/m2), and obesity (≥30 kg/m2).Results:The prevalence of insufficient PA was 71.6% among normal BMI subjects, 71.3% among overweight individuals, and 73.7% among obese ones (P = .67). No PA and high PA were also not associated with BMI. The associations between sex, age, and education level and PA levels tended to be stronger among normal-weight individuals compared with overweight and obese individuals. Among the obese, most associations were not significant. Among normal-weight individuals, higher PA levels were observed in men, young adults, and those with higher education.Conclusions:Variables associated with leisure-time PA differed between normal-weight, overweight, and obese individuals. Studies on PA correlates might benefit from stratifying by BMI.

Leisure-Time Physical Activity: Association With Activity Levels in Other Domains

2010 ◽  
Vol 7 (4) ◽  
pp. 460-464 ◽  
Author(s):  
Airton J. Rombaldi ◽  
Ana M.B. Menezes ◽  
Mario Renato Azevedo ◽  
Pedro C. Hallal
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Population Based ◽  
Cross Sectional Study ◽  
Moderate Intensity ◽  
Activity Levels ◽  
Cross Sectional ◽  
Moderate Intensity Physical Activity ◽  
Intensity Physical Activity

Objectives:To explore whether participation in leisure-time physical activity (LTPA) is associated with participation in occupational, housework, and transport-related physical activity.Methods:Population-based cross-sectional study covering a multistage sample of 972 subjects age 20 to 69 years. Physical activity was measured using the long version of the International Physical Activity Questionnaire. A LTPA score was calculated as follows: min/wk of walking + min/wk of moderate-intensity physical activity + (min/wk of vigorous-intensity physical activity × 2). Similar scores were generated for each domain. For categorical analyses, the scores were divided into 3 categories: 0 min/wk, 10−149 min/wk, and ≥150 min/wk.Results:The proportion of subjects practicing less than 150 min/wk of physical activity in each domain was: leisure-time (69.8%), occupational (58.3%), housework (35.0%), transportation (51.9%). Subjects with a transport-related physical activity score equal to or above 150 min/wk were 40% less likely to be sedentary in leisure-time in comparison with those who did not practice transport-related physical activity. Housework and occupational physical activity were not related to participation in LTPA.Conclusions:Future physical activity campaigns should focus on other domains instead of LTPA alone, particularly supporting transport-related physical activity as a strategy of health promotion.

scholarly journals Association of Probiotic Consumption and Body Mass Index in the US Population: Insights from NHANES (P21-022-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Ajita Jadhav ◽  
Kathleen Melanson
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Antibiotic Use ◽  
Population Based ◽  
Cross Sectional Study ◽  
Healthy Eating Index ◽  
Weighted Mean ◽  
Cross Sectional ◽  
Supplement Use

Abstract Objectives To determine the association between probiotic consumption through food or supplements and Body Mass Index (BMI) in National Health And Nutrition Examination Survey (NHANES) data. Methods This large US population based cross-sectional study includes 2005–2014 NHANES data. We utilized 24-hour Dietary Recall (DR) interviews and Dietary Supplement Use 30-Day recall (DSQ) to extract the Probiotic Food (PF) and Probiotic Supplements (PS) consumption, respectively, using text search terms. Adults (≥18 years), who responded to DR interviews and DSQ, were included, while pregnant women were excluded from the study. Differences in probiotic consumers and non-consumers were assessed with χ2/Wilcoxon tests. To assess the relationship among probiotic consumption and BMI, we performed multiple linear regression while adjusting for confounders such as gender, race, age, Healthy Eating Index (HEI), Kcal consumption, physical activity and antibiotic use. Results of associations were analyzed separately for PF and PS, and weighted to reflect national estimates. Results Study included 15,104,111 (13.8%) PF consumers and 94,421,839 (86.2%) non-consumers. PF consumers were generally female (63.2% vs. 51.6%), white (77.6% vs. 67.1%), older [mean (±SD) 48.54 ± 0.99 vs. 46.29 ± 0.55 years], had higher HEI [57.52 ± 0.86 vs. 52.33 ± 0.37] and Kcal consumption [3861.77 ± 63.70 vs. 3737.49 ± 31.62], but similar physical activity (46.9% vs. 46.9%) and antibiotic use (4.9% vs. 4.6%) compared to non-consumers. We also identified 1108,619 (1.1%) PS users and 101,698,442 (98.9%) non-users. Compared to non-users, PS users were commonly female (67.8% vs. 51.8%), white (84.5% vs. 66.4%), older [52.60 ± 3.11 vs. 46.36 ± 1.06 years], had higher HEI [60.92 ± 2.41 vs. 52.70 ± 0.37], similar physical activity (45.3% vs. 45.0%) and Kcal Consumption [3599.08 ± 182.06 vs. 3737.43 ± 31.83], but more antibiotic users (9.4% vs. 4.5%). After adjusting for confounders, the weighted mean BMI was 0.48 kg/m2 [95% Confidence Interval (CI) = (−0.68) – (−0.28)] lower for PF consumers than non-consumers. PS users had even lower weighted mean BMI [−1.10 kg/m2, 95% CI = (−1.71) – (−0.48)] compared to non-users. Conclusions In this large nationally representative population-based study, probiotic consumption via food or supplement was associated with lower body mass index. Funding Sources None.

scholarly journals Tracking of physical activity from adolescence to adulthood: a population-based study

2007 ◽  
Vol 41 (1) ◽  
pp. 69-75 ◽  
Author(s):  
Mario Renato Azevedo ◽  
Cora Luiza Araújo ◽  
Marcelo Cozzensa da Silva ◽  
Pedro Curi Hallal
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Prevalence Ratio ◽  
Population Based ◽  
Cross Sectional Study ◽  
Regular Physical Activity ◽  
Cross Sectional ◽  
Population Based Study ◽  
Adult Behavior

OBJECTIVE: To assess the association between regular physical activity in adolescence and leisure-time physical activity in adulthood, with emphasis on gender differences. METHODS: A population-based cross-sectional study was carried out in Pelotas, Southern Brazil, in 2003. A representative sample of households was selected in multiple stages and subjects aged 20-59 years were interviewed. Leisure-time physical activity was evaluated using the International Physical Activity Questionnaire. Data on adolescent physical activity were based on subjects' recall. RESULTS: Of 2,577 subjects interviewed, 27.5% were classified as adequately active, and 54.9% reported regular physical activity in adolescence. Subjects who engaged in regular physical activity during adolescence were more likely to be adequately active in adulthood (adjusted prevalence ratio 1.42; 95% CI: 1.23; 1.65). This effect was stronger in women (adjusted prevalence ratio: 1.51; 95% CI: 1.22; 1.86) than men (adjusted prevalence ratio: 1.35; 95% CI: 1.10; 1.67). CONCLUSIONS: Promoting physical activity in school age may be a successful intervention against the epidemic of adult inactivity. Although women were less likely to report regular physical activity in adolescence, the effect of this experience on adult behavior was stronger than in men.

scholarly journals Relationships of Musculoskeletal Symptoms, Sociodemographics, and Body Mass Index With Leisure-Time Physical Activity Among Nurses

2018 ◽  
Vol 66 (12) ◽  
pp. 577-587 ◽  
Author(s):  
Soohyun Nam ◽  
MinKyoung Song ◽  
Soo-Jeong Lee
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
High Body Mass Index ◽  
Physical Activity Promotion ◽  
Musculoskeletal Symptoms ◽  
Cross Sectional ◽  
Activity Promotion

Nurses have a high prevalence of musculoskeletal symptoms from patient handling tasks such as lifting, transferring, and repositioning. Comorbidities such as musculoskeletal symptoms may negatively affect engagement in leisure-time physical activity (LTPA). However, limited data are available on the relationship between musculoskeletal symptoms and LTPA among nurses. The purpose of this study was to describe musculoskeletal symptoms and LTPA, and to examine the relationships of musculoskeletal symptoms, sociodemographics, and body mass index with LTPA among nurses. Cross-sectional data on sociodemographics, employment characteristics, musculoskeletal symptoms, body mass index, and LTPA were collected from a statewide random sample of 454 California nurses from January to July 2013. Descriptive statistics, bivariate and multiple logistic regressions were performed. We observed that non-White nurses were less likely to engage in regular aerobic physical activity than White nurses (odds ratio [OR] = 0.61; 95% confidence interval [CI] = [0.40, 0.94]). Currently working nurses were less likely to engage in regular aerobic physical activity than their counterparts (OR = 0.48; 95% CI = [0.25, 0.91]). Nurses with higher body mass index were less likely to perform regular aerobic physical activity (OR = 0.93; 95% CI = [0.89, 0.97]) or muscle-strengthening physical activity (OR = 0.92; 95% CI = [0.88, 0.96]). This study found no evidence that musculoskeletal symptoms may interfere with regular engagement in LTPA. Physical activity promotion interventions should address employment-related barriers, and particularly target racial minority nurses and those who have a high body mass index.

scholarly journals Body mass index, asthma, and respiratory symptoms: a population-based study

2020 ◽  
Vol 46 (1) ◽  
Author(s):  
Elaine Cristina Caon de Souza ◽  
Marcia Margaret Menezes Pizzichini ◽  
Mirella Dias ◽  
Maíra Junkes Cunha ◽  
Darlan Lauricio Matte ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Respiratory Symptoms ◽  
Family Income ◽  
Smoking Status ◽  
Demographic Data ◽  
Population Based ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Cross Sectional

ABSTRACT Objective: To estimate the prevalence of respiratory symptoms and asthma, according to body mass index (BMI), as well as to evaluate factors associated with physician-diagnosed asthma, in individuals ≥ 40 years of age. Methods: This was a population-based cross-sectional study conducted in Florianópolis, Brazil, with probability sampling. Data were collected during home visits. Demographic data were collected, as were reports of physician-diagnosed asthma, respiratory symptoms, medications in use, and comorbidities. Anthropometric measurements were taken. Individuals also underwent spirometry before and after bronchodilator administration. Individuals were categorized as being of normal weight (BMI < 25 kg/m2), overweight (25 kg/m2 ≥ BMI < 30 kg/m2), or obese (BMI ≥ 30 kg/m2). Results: A total of 1,026 individuals were evaluated, 274 (26.7%) were of normal weight, 436 (42.5%) were overweight, and 316 (30.8%) were obese. The prevalence of physician-diagnosed asthma was 11.0%. The prevalence of obesity was higher in women (p = 0.03), as it was in respondents with ≤ 4 years of schooling (p < 0.001) or a family income of 3-10 times the national minimum wage. Physician-diagnosed asthma was more common among obese individuals than among those who were overweight and those of normal weight (16.1%, 9.9%, and 8.0%, respectively; p = 0.04), as were dyspnea (35.5%, 22.5%, and 17.9%, respectively; p < 0.001) and wheezing in the last year (25.6%, 11.9%, and 14.6%, respectively; p < 0.001). These results were independent of patient smoking status. In addition, obese individuals were three times more likely to report physician-diagnosed asthma than were those of normal weight (p = 0.005). Conclusions: A report of physician-diagnosed asthma showed a significant association with being ≥ 40 years of age and with having a BMI ≥ 30 kg/m2. Being obese tripled the chance of physician-diagnosed asthma.

Physical Activity Levels According to Physical and Social Environmental Factors in a Sample of Adults Living in South Brazil

2010 ◽  
Vol 7 (s2) ◽  
pp. S204-S212 ◽  
Author(s):  
Tales C. Amorim ◽  
Mario R. Azevedo ◽  
Pedro C. Hallal
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Population Level ◽  
Population Based ◽  
Cross Sectional Study ◽  
Neighborhood Environment ◽  
Activity Levels ◽  
Cross Sectional ◽  
Social Environmental

Objective:To evaluate the association between the physical and social environment and physical activity (leisure-time and transport-related) in a population-based sample of adults.Methods:Cross-sectional study including 972 adults (20−69 years) living in the urban area of Pelotas, Brazil. Physical activity was measured using the long International Physical Activity Questionnaire. Environmental variables were assessed using a modified version of the Neighborhood Environment Walkability Scale.Results:69.8% (95% CI = 66.9−72.7) and 51.9% (95% CI = 48.8−55.1) of the subjects did not reach 150 min/wk on leisure-time and transport-related physical activity, respectively. Subjects living near green areas were more likely to be active in leisure-time, as well as those who reported to live in safe neighborhoods. Transport-related physical activity was higher among individuals living in areas with garbage accumulation, and was lower among those living in neighborhoods which are difficult to walk or cycle due to traffic. Social support was strongly associated with leisure-time physical activity.Conclusions:Safety investments, which are urgently required in Brazil, are likely to have a desirable side effect at increasing physical activity at the population level. Building enjoyable and safe public spaces for physical activity practice must be prioritized.

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