Prevalence Of Leisure-time Physical Inactivity Research Articles

Identifying the health benefits of city bike infrastructure expansion policy

ABSTRACT The aim of this study was to understand how policy actions implemented by city governments to improve infrastructure within the built environment can in turn influence healthy behaviors and population health. The authors investigated the associations between policy actions implemented by city governments to improve biking infrastructure and multiple health outcomes including leisure-time physical inactivity, obesity and coronary heart disease (CHD). In addition, this study tested if bike use for commuting and leisure-time physical activity were mediators between policy actions to improve biking infrastructure and health outcomes, and whether the health effects of bike infrastructure were different in cities of different population density. We merged local sustainability survey data with city-level chronic disease measures for the largest cities in the U.S. (n = 457). Results from regressions using Ordinary Least Squares estimation and mediation tests showed policies implemented to improve biking infrastructure were associated with lower prevalence of leisure-time physical inactivity, obesity and CHD. These relationships were most notable in medium-density cities (1,500–3,000/sq. mi). Moreover, leisure-time physical activity and active commuting mediated the relationship between bike infrastructure improvement policies and health outcomes. This study demonstrated the value of a policy-based intervention in enhancing population health.

Racial/Ethnic Differences in Physical Activity in a Low-Income Sample in Texas.

National data reveal that the age-adjusted prevalence of leisure-time physical inactivity is higher among Blacks and Hispanics compared with Whites. However, these estimates do not consider nonleisure physical activity (PA). Also, race/ethnicity in these findings may by confounded by socioeconomic status disparities in PA. Here, we examine racial/ethnic differences in multiple measures of PA within a lower socioeconomic status sample. Participants in the current cross-sectional study (n = 1526 adults, aged ≥ 18y) were recruited from Supplemental Nutrition Assistance Program-Education classes (nutrition education classes that target low-income people) in Texas. Self-report data were obtained using survey questionnaires in spring and fall 2018. PA outcomes of 4 different intensities were assessed: mean daily time spent walking, engaging in moderate and vigorous PA, and sitting. Additional PA-related measures included use and awareness of community PA resources. Linear regression models examined racial/ethnic differences in the 4 PA outcomes after adjusting for participant gender, age, household composition measures, and various socioeconomic status measures. In this low-income sample, Hispanic and Black participants spent 6 to 9 more minutes per day walking and engaging in moderate and vigorous PA compared with White/other participants (P < .05 for each measure). Conversely, White/other participants reported spending 82 more minutes sitting per day than Black and Hispanic participants (P < .01). Overall, Black participants were most likely to utilize community PA resources and report ease of engaging in exercise. Together, these results reveal greater engagement in PA by racial/ethnic minorities in low-income communities compared with Whites. Our results have implications for tailoring PA programming to these communities.

COVID-Inconfidentes: how did COVID-19 and work from home influence the prevalence of leisure-time physical inactivity? An analysis of before and during the pandemic

BackgroundThe COVID-19 pandemic has brought drastic changes to the lives of the global population. The restrictions imposed by government agencies impacted the daily lives of citizens, influencing several health behaviors, such as physical activity (PA). Thus, the present study aimed to assess the prevalence of physical inactivity (PI) and its associated factors before and during the COVID-19 pandemic.MethodsA population-based household seroepidemiological survey was conducted in two Brazilian municipalities located in the state of Minas Gerais, in which 1750 volunteers were interviewed between October and December 2020. Face-to-face interviews were conducted using a structured questionnaire in an electronic format. The moments considered for the PI analysis were M0 (before the pandemic), M1 (from March to July 2020), and M2 (from October to December 2020). Descriptive statistics and univariate and multivariate logistic regression were used to examine the factors associated with PI before (M0) and during the pandemic (M1 and M2).ResultsThe prevalence of PI was higher in the first months of the pandemic (M1) (67.3%; 95% confidence interval (CI): 62.4–71.9) than in the months from October to December 2020 (M2) (58.7%; 95% CI: 52.8–64.3); however, at both times (M1 and M2), PI was more prevalent than in the period before the pandemic started (M0) (39.7%; 95% CI: 35.6–43.8). Individuals who were overweight, obese, and had low educational levels were more likely to be physically inactive. At both M1 and M2, individuals who worked at a work from home were less likely to have PI.ConclusionsThe results suggest that the COVID-19 pandemic negatively influenced PA, substantially increasing the prevalence of PI. The determinants associated with PI were education, body mass index, and work from home.

Geographical Variations in the Environmental Determinants of Physical Inactivity among U.S. Adults.

Physical inactivity is a major modifiable risk factor for morbidity, disability and premature mortality worldwide. This study assessed the geographical variations in the impact of environmental quality on physical inactivity among U.S. adults. Data on county-level prevalence of leisure-time physical inactivity came from the Behavioral Risk Factor Surveillance System. County environment was measured by the Environmental Quality Index (EQI), a comprehensive index of environmental conditions that affect human health. The overall EQI consists of five subdomains—air, water, land, social, and built environment. Geographically weighted regressions (GWRs) were performed to estimate and map county-specific impact of overall EQI and its five subdomains on physical inactivity prevalence. The prevalence of leisure-time physical inactivity among U.S. counties was 25% in 2005. On average, one standard deviation decrease in the overall EQI was associated with an increase in county-level prevalence of leisure-time physical inactivity by nearly 1%. However, substantial geographical variations in the estimated environmental determinants of physical inactivity were present. The estimated changes of county-level prevalence of leisure-time physical inactivity resulted from one standard deviation decrease of the overall EQI ranged from an increase of over 3% to a decrease of nearly 2% across U.S. counties. Analogous, the estimated changes of county-level prevalence of leisure-time physical inactivity resulted from one standard deviation decrease of the EQI air, water, land, social, and built environment subdomains ranged from an increase of 2.6%, 1.5%, 2.9%, 3.3%, and 1.7% to a decrease of 2.9%, 1.4%, 2.4%, 2.4%, and 0.8% across U.S. counties, respectively. Given the substantial heterogeneities in the environmental determinants of physical inactivity, locally customized physical activity interventions are warranted to address the most concerning area-specific environmental issue.

Leisure-time physical inactivity among healthcare workers.

To estimate the prevalence of leisure-time physical inactivity (LTPI) and associated factors among healthcare workers. The cross-sectional study carried out with 2684 healthcare workers from 4 municipalities from the northeast region, Brazil. The LTPI was assessed by dichotomous question. The association between LTPI and the various independent variables was examined through the multinomial logistic regression analysis (crude and adjusted). The prevalence of LTPI was 47.9% (95% confidence interval (CI): 46.01-48.80). The adjusted analysis (sociodemographic and occupational characteristics) showed that women and individuals with higher levels of education were more LTPI (p = 0.05). The prevalence of LTPI was high among the population investigated, especially among women and individuals with higher education. These results show the importance of developing actions to encourage adherence to physical activity during leisure time among workers, especially among the most vulnerable groups (people with higher education and women), given the benefits of this behavior to health. Int J Occup Med Environ Health 2018;31(3):251-260.

INATIVIDADE FÍSICA NO LAZER EM ESTUDANTES DE EDUCAÇÃO FÍSICA, BAHIA

Introduction: Physical inactivity is one of the main risk factors related to worldwide mortality, with great implications for chronic diseases. In relation to university students, physical inactivity represents a prevalent behavior. Objective: To estimate the prevalence and factors associated with leisure-time physical inactivity in university students of a Physical Education course. Methodology: It is a cross-sectional study carried out in a public higher education institution from state of Bahia. The physical inactivity investigated by Prevalence Ratio (PR). Significance level was 5%. Results: 111 university students participated in it. The prevalence of physical inactivity in leisure-time was 14.4%. Female students were associated with leisure-time physical inactivity (PR: 6.22; CI95%: 1.62 – 23.90), university students of higher age groups were less inactive in leisure-time when compared to younger ones (PR: 0.18; 95%CI: 0.04 – 0.92), and married students were more inactive in leisure-time. Conclusion: The prevalence of physical inactivity in the leisure-time was lower in Physical Education students. Married female students aged between 18 to 20 years old had higher prevalence of leisure-time physical inactivity.

Mapping the Prevalence of Physical Inactivity in U.S. States, 1984-2015

BackgroundPhysical inactivity is a leading cause of morbidity, disability and premature mortality in the U.S. and worldwide. This study aimed to map the prevalence of physical inactivity across U.S. states over the past three decades, and estimate the over-time adjusted changes in the prevalence of physical inactivity in each state.MethodsIndividual-level data (N = 6,701,954) were taken from the 1984–2015 Behavioral Risk Factor Surveillance System (BRFSS), an annually repeated cross-sectional survey of state-representative adult population. Prevalence of self-reported leisure-time physical inactivity was estimated by state and survey year, accounting for the BRFSS sampling design. Logistic regressions were performed to estimate the changes in the prevalence of physical inactivity over the study period for each state, adjusting for individual characteristics including sex, age, race/ethnicity, education, marital status, and employment status.ResultsThe prevalence of leisure-time physical inactivity varied substantially across states and survey years. In general, the adjusted prevalence of physical inactivity gradually declined over the past three decades in a majority of states. However, a substantial proportion of American adults remain physically inactive. Among the 50 states and District of Columbia, 45 had over a fifth of their adult population without any leisure-time physical activity, and 8 had over 30% without physical activity in 2015. Moreover, the adjusted prevalence of physical inactivity in several states (Arizona, North Carolina, North Dakota, Utah, West Virginia, and Wyoming) remained largely unchanged or even increased (Minnesota and Ohio) over the study period.ConclusionsAlthough the prevalence of physical inactivity declined over the past three decades in a majority of states, the rates remain substantially high and vary considerably across states. Closely monitoring and tracking physical activity level using the state physical activity maps can help guide policy and program development to promote physical activity and reduce the burden of chronic disease.

ERICA: leisure-time physical inactivity in Brazilian adolescents.

ABSTRACTOBJECTIVE To evaluate the prevalence of leisure-time physical inactivity in Brazilian adolescents and their association with geographical and sociodemographic variables.METHODS The sample was composed by 74,589 adolescents participating in the Study of Cardiovascular Risks in Adolescents (ERICA). This cross-sectional study of school basis with national scope involved adolescents aged from 12 to 17 years in Brazilian cities with more than 100 thousand inhabitants. The prevalence of leisure-time physical inactivity was categorized according to the volume of weekly practice (< 300; 0 min). The prevalences were estimated for the total sample and by sex. Poisson regression models were used to assess associated factors.RESULTS The prevalence of leisure-time physical inactivity was 54.3% (95%CI 53.4-55.2), and higher for the female sex (70.7%, 95%CI 69.5-71.9) compared to the male (38.0%, 95%CI 36.7-39.4). More than a quarter of adolescents (26.5%, 95%CI 25.8-27.3) reported not practicing physical activity in the leisure time, a condition more prevalent for girls (39.8%, 95%CI 38.8-40.9) than boys (13.4%, 95%CI 12.4-14.4). For girls, the variables that were associated with physical inactivity were: reside in the Northeast (RP = 1.13, 95%CI 1.08-1.19), Southeast (RP = 1.16, 95%CI 1.11-1.22) and South (RP = 1.12, 95%CI 1.06-1.18); have 16-17 years (RP = 1.06, 95%CI 1.12-1.15); and belong to the lower economic class (RP = 1.33, 95%CI 1.20-1.48). The same factors, except reside in the Southeast and South, were also associated with not practicing physical activity in the leisure time for the same group. In males, as well as the region, being older (p < 0.001) and declaring to be indigenous (RP = 0.37, 95%CI 0.19-0.73) were also associated with not practicing physical activities in the leisure time.CONCLUSIONS The prevalence of leisure-time physical inactivity in Brazilian adolescents is high. It presents regional variations and is associated with age and low socioeconomic status. Special attention should be given to girls and to those who do not engage in any physical activity during the leisure time, so that they can adopt a more active lifestyle.

Perceived barriers to leisure-time physical activity and associated factors in adolescents.

The objective of this study was to identify the prevalence of perceived barriers to leisure-time physical activity in teenagers and to examine the possible association of these barriers with leisure-time physical inactivity. This cross-sectional study was conducted in 2011 and a representative sample of 1,409 high school students from public schools in the city of Londrina/Paraná was selected through multistage sampling. For data collection, the adolescents completed a questionnaire. The relationship between leisure-time physical inactivity (<300 minutes/week) and perceived barriers was analyzed by calculating the prevalence ratio (PR) in Poisson regression models. "Lack of friends company" was the most prevalent barrier for both girls (75.8%) and boys (58.7%). "Feel lazy" for girls (PR: 1.21; CI 95%: 1.08 to 1.36) and "prefer to do other things" for the boys (PR: 1.48; CI 95%: 1.01 to 2.15) were the barriers most strongly associated with leisure-time physical inactivity. For both genders, a strong dose-response relationship was observed between the number of perceived barriers and leisure-time physical inactivity. The perception of barriers was associated with a higher prevalence of leisure-time physical inactivity in adolescents and should therefore be considered in actions for promoting physical activity in this population.The objective of this study was to identify the prevalence of perceived barriers to leisure-time physical activity in teenagers and to examine the possible association of these barriers with leisure-time physical inactivity. This cross-sectional study was conducted in 2011 and a representative sample of 1,409 high school students from public schools in the city of Londrina/Paraná was selected through multistage sampling. For data collection, the adolescents completed a questionnaire. The relationship between leisure-time physical inactivity (<300 minutes/week) and perceived barriers was analyzed by calculating the prevalence ratio (PR) in Poisson regression models. "Lack of friends company" was the most prevalent barrier for both girls (75.8%) and boys (58.7%). "Feel lazy" for girls (PR: 1.21; CI 95%: 1.08 to 1.36) and "prefer to do other things" for the boys (PR: 1.48; CI 95%: 1.01 to 2.15) were the barriers most strongly associated with leisure-time physical inactivity. For both genders, a strong dose-response relationship was observed between the number of perceived barriers and leisure-time physical inactivity. The perception of barriers was associated with a higher prevalence of leisure-time physical inactivity in adolescents and should therefore be considered in actions for promoting physical activity in this population.

Fatores demográficos e hábitos de vida relacionados com a inatividade física de lazer entre gêneros

OBJETIVO: Analisar a associação entre variáveis sociodemográficas e hábitos de vida com Inatividade Física de Lazer, entre os sexos, em população de baixa renda. MÉTODOS: Estudo transversal de base populacional, em Duque de Caxias, Rio de Janeiro (2005). A coleta de dados constou de visita domiciliar e amostra de 1 113 adultos. Foram avaliados alguns dados sobre Atividade Física de Lazer, informações sociodemográficas, hábitos de vida (hábito de fumar, consumo de refrigerantes) e medidas antropométricas. Na análise de dados foi empregado o modelo hierárquico, utilizando a regressão de Poisson e a Inatividade Física de Lazer (indivíduos que responderam não praticar nenhum tipo de Atividade Física de Lazer) como desfecho. O primeiro nível do modelo considerou variáveis sociodemográficas e o segundo, o estado nutricional (índice de massa corporal em kg/m² (baixo peso &lt;18,5; eutrófico ≥18,5 e &lt;25,0; sobrepeso ≥25,0 e &lt;30,0; e obeso ≥30,0), hábitos de vida e consumo alimentar. RESULTADOS: A prevalência de Inatividade Física de Lazer foi de 33,0% (IC95%: 28,6-37,6) para os homens, e 67,0% (IC95%: 62,3-71,3) para as mulheres. No modelo final, entre os homens, a Inatividade Física de Lazer foi associada com excesso de peso (sobrepeso: RP=1,50, obesidade: RP=1,50, p-valor=0,004) e cor de pele (pretos/pardos: RP=0,71, p-valor=0,003). Entre mulheres, a Inatividade Física de Lazer foi associada com escolaridade (RP=1,15, p-valor=0,019), perímetro de cintura (RP=0,87, p-valor=0,042), hábito de fumar (RP=1,17, p-valor=0,003) e maior ingestão de refrigerantes (RP=1,22, p-valor=0,015). CONCLUSÃO: Os fatores associados com a Inatividade Física de Lazer diferiram entre os gêneros. As mulheres possuíam estilos de vida não saudáveis, ou seja, fumavam, consumiam mais refrigerantes, e eram mais inativas fisicamente.

Physical Inactivity at Leisure and Work

Physical inactivity has been identified as a distinct health risk. However, little is known about how this can vary at leisure and work in cardiac patients. The aim of this study was to examine the prevalence and predictors of inactivity during leisure and work in the 12 months following a cardiac event in Australian cardiac patients. A total of 346 patients consecutively admitted to hospital with acute coronary syndrome or to undergo coronary artery bypass graft surgery were interviewed in hospital, and 4 and 12 months later. Leisure and occupational physical activity was measured using the Stanford Brief Activity Survey. Sociodemographic, psychosocial, and clinical data were also collected. The prevalence of leisure-time physical inactivity declined over time, with 52% inactive preevent and 29% inactive at 12 months. Approximately 50% of participants were physically inactive in their work, regardless of whether this was measured before or after the cardiac event. Logistic regression revealed that the significant predictors of leisure-time physical inactivity at 12 months were non-home ownership (OR = 2.19; P = .007) and physical inactivity in leisure-time prior to the event (OR = 2.44; P = .001). The significant predictors of occupational physical inactivity at 12 months were white-collar occupation (OR = 3.10; P < .001) and physical inactivity at work prior to the event (OR = 12.99; P < .001). Preevent physical inactivity, socioeconomic, and clinical factors predicted both leisure and work inactivity after an acute cardiac event. Effective interventions could be designed and implemented to target those most at risk of being physically inactive at work or leisure.

Inatividade física no lazer em trabalhadores da indústria do Rio Grande do Sul, Brasil

The objective of this study was to investigate the prevalence and associated factors to physical inactivity during leisure-time in a representative sample of industrial workers from Rio Grande do Sul, Brazil. Physical inactivity was defined as the negative response to the question: Do you perform any type of physical activity during leisure-time, such as exercises (calisthenics, walking, jogging), sports, dance or martial arts? The sample included 2,265 workers, and the prevalence of physical inactivity was 45.6% (CI95%: 43.5; 47.6), which was significantly higher for females, those living with a companion, smokers, those not satisfied with their body weight, and those with a negative perception of their own leisure. Besides, it was observed a positive association of physical inactivity with age, and a negative association with self assessment of health status. Overall, results indicate that the prevalence of leisure-time physical inactivity among industrial workers in this state was high, with greater exposition to this unhealthy behavior for females, and those perceiving their own leisure-time as not satisfying.

Race/Ethnicity, Social Class, and Leisure-Time Physical Inactivity

The aims of this study were to determine 1) prevalence of leisure-time physical inactivity in a nationally representative sample of non-Hispanic white, non-Hispanic black, and Hispanic men and women; 2) prevalence of leisure-time inactivity by racial/ethnic group across social class indicators; and 3) the relationship between leisure-time inactivity and occupational physical activity, independent of other social class indicators. The National Physical Activity and Weight Loss Survey was a telephone survey of noninstitutionalized U.S. adults (4695 men, 6516 women) conducted by random digit dialing between September and December 2002. Self-reported physical activity was assessed using questions from the 2001 Behavioral Risk Factor Surveillance System. Respondents who reported no moderate- or vigorous-intensity physical activity during leisure time in a usual week were classified as inactive. Indicators of social class were education, family income, employment status, and marital status. Age-adjusted prevalence of leisure-time inactivity was 9.9% +/- 0.6 SE (standard error) and 12.0 +/- 0.6 for white men and women, respectively; 19.0 +/- 2.5 and 25.2 +/- 2.1 for non-Hispanic black men and women, and 20.9 +/- 2.1 and 27.3 +/- 2.5 for Hispanic men and women. Within each racial/ethnic group, prevalence of leisure-time inactivity was highest among participants of lower social class. Differences in inactivity by racial/ethnic group were less evident after adjustment for social class. Odds of inactivity were similar across quartiles of occupational physical activity after adjustment for age, sex, and social class. Non-Hispanic blacks and Hispanics were more inactive during their leisure time than were non-Hispanic whites. Social class but not occupational physical activity seems to moderate the relationship between race/ethnicity and leisure-time physical inactivity.