Patterns and Determinants of Physical Inactivity in Rural and Urban Areas in Peru: A Population-Based Study

2016 ◽  
Vol 13 (6) ◽  
pp. 654-662 ◽  
Author(s):  
J. Jaime Miranda ◽  
Rodrigo M. Carrillo-Larco ◽  
Robert H Gilman ◽  
Jose L. Avilez ◽  
Liam Smeeth ◽  
...  
Keyword(s):  
Physical Activity ◽  
Urban Areas ◽  
Physical Inactivity ◽  
Leisure Time ◽  
Multivariable Analysis ◽  
Population Based ◽  
Surveillance Systems ◽  
Sedentary Behaviors ◽  
Cross Sectional ◽  
Watching Tv

Background:Physical inactivity and sedentary behaviors have been linked with impaired health outcomes. Establishing the physical inactivity profiles of a given population is needed to establish program targets and to contribute to international monitoring efforts. We report the prevalence of, and explore sociodemographical and built environment factors associated with physical inactivity in 4 resource-limited settings in Peru: rural Puno, urban Puno, Pampas de San Juan de Miraflores (urban), and Tumbes (semiurban).Methods:Cross-sectional analysis of the CRONICAS Cohort Study’s baseline assessment. Outcomes of interest were physical inactivity of leisure time (<600 MET-min/week) and transport-related physical activity (not reporting walking or cycling trips) domains of the IPAQ, as well as watching TV, as a proxy of sedentarism (≥2 hours per day). Exposures included demographic factors and perceptions about neighborhood’s safety. Associations were explored using Poisson regression models with robust standard errors. Prevalence ratios (PR) and 95% confidence intervals (95% CI) are presented.Results:Data from 3593 individuals were included: 48.5% males, mean age 55.1 (SD: 12.7) years. Physical inactivity was present at rates of 93.7% (95% CI 93.0%–94.5%) and 9.3% (95% CI 8.3%–10.2%) within the leisure time and transport domains, respectively. In addition, 41.7% (95% CI 40.1%–43.3%) of participants reported watching TV for more than 2 hours per day. Rates varied according to study settings (P < .001). In multivariable analysis, being from rural settings was associated with 3% higher prevalence of leisure time physical inactivity relative to highly urban Lima. The pattern was different for transport-related physical inactivity: both Puno sites had around 75% to 50% lower prevalence of physical inactivity. Too much traffic was associated with higher levels of transport-related physical inactivity (PR = 1.24; 95% CI 1.01–1.54).Conclusions:Our study showed high levels of inactivity and marked contrasting patterns by rural/urban sites. These findings highlight the need to generate synergies to expand nationwide physical activity surveillance systems.

scholarly journals Gender-specific physical activity-related injuries and risk factors among university students in China: a multicentre population-based cross-sectional study

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e040865
Author(s):  
Weicong Cai ◽  
Shangmin Chen ◽  
Liping Li ◽  
Pengying Yue ◽  
Xiaofan Yu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
University Students ◽  
Leisure Time ◽  
Population Based ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
The Past ◽  
Chinese University ◽  
Gender Specific

ObjectivesData on the problem of physical activity-related injury (PARI) in university students and the risk factors for PARI among different genders are rare. We conducted a multicentre population-based study to investigate the occurrence of PARI and to explore the gender-specific risk factors for PARI among Chinese university students.DesignCross-sectional study.ParticipantsA total of 5341 students in grades 1–3 at eight universities in four Chinese cities were selected to complete the online questionnaires during March and April 2017. The questionnaires assessed sociodemographic characteristics, physical activity PA) involvement, sleep duration, sedentary behaviour and PARI experiences in the past 12 months.Main outcome measuresPARI during the past 12 months.ResultsAmong the 5341 participants, 1293 suffered from at least one PARI in the past 12 months, with an overall incidence rate of 24.2% (males: 26.2%, females: 23.2%) and an injury risk of 0.38 injuries/student/year (males: 0.48, females: 0.32). Over half of the injured (57.3%) experienced a withdrawal time of PA and nearly two-fifths (39.6%) required medical attention. Irrespective of gender, Shantou and Xi’an students, sports team members and those who engaged in sports and leisure-time vigorous-intensity PA (VPA) at a higher frequency were more likely to suffer from PARI. Male students who participated in sports and leisure-time VPA for long durations had a greater likelihood of sustaining PARI, while having a chronic condition and being involved in sports and leisure-time moderate-intensity PA at a higher frequency and longer duration were potential contributors to PARI among females.ConclusionsThe occurrence of PARI and its risk factors differed by gender, which provides a direction towards developing targeted and effective gender-specific preventative programmes to protect Chinese university students from PARI.

scholarly journals Associations Between Leisure-Time Sedentary Behaviors with Unhealthy Dietary Behaviors and Leisure-Time Physical Activity Among Chinese Adults: A Cross-Sectional Study

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1771-1771
Author(s):  
Yun Wang ◽  
Yi-Fei Ouyang ◽  
Xiao-Fang Jia ◽  
Bing Zhang ◽  
Zhihong Wang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Computer Time ◽  
Cross Sectional Study ◽  
Dietary Behaviors ◽  
Sedentary Behaviors ◽  
Chinese Adults ◽  
Cross Sectional ◽  
Television Time

Abstract Objectives Evidence that sedentary behaviors were correlated with unhealthy diet and physical activity were mostly among children and adolescents, but still limited for adults. The aim of this study was to examine the associations between screen-based leisure-time sedentary behaviors (LTSB) including television time and computer time with unhealthy dietary behaviors, and leisure-time physical activity (LTPA) among Chinese adults. Methods Participants (n = 10,108, aged 18–59 years) from a recent cross-sectional study of CHNS (China Health and Nutrition Survey) conducted in 2015 were analyzed. Time spent in LTSB and LTPA were collected from questionnaire. Unhealthy dietary behaviors were collected from three consecutive 24-hour food recalls and the food frequency method. Multivariable logistic regression models were produced to study the odds ratios for unhealthy dietary behaviors and LTPA as the function of the quintile of LTSB. Results Versus the lowest quartile, the OR(95%CI) of the highest quintile of computer time for insufficient vegetable intake (&lt; 300 g/d) was 1.4(1.0,2.0) for male and 1.5(1.1,2.2) for female; the OR(95%CI) for excessive snack intake (≥1 time/day) was 1.6(1.0,2.3) for male and 1.7(1.3,2.4) for female; the OR(95%CI) for excessive western fast food intake (≥1 time/week) was 2.4(1.2,4.4) for male and 2.7(1.4,4.9) for female. The OR(95%CI) of the highest quintile of television time for no LTPA group (0 Mets.h/w) was 1.8(1.3,2.6) for male and 1.5(1.1,2.0) for female; the OR(95%CI) for sufficient LTPA group (≥8 Mets.h/w) was 0.5(0.4,0.8) for male and 0.7(0.5,0.9) for female. The OR(95%CI) of the highest quintile of computer time for no LTPA group (0 Mets.h/w) was 0.4(0.3,0.6) for male and 0.5(0.4,0.7) for female; the OR(95%CI) for sufficient LTPA (≥8 Mets.h/w) group was 2.4(1.7,3.3) for male and was 2.1(1.5,2.9) for female. Conclusions LTSB were associated with unhealthy dietary behaviors and mixed LTPA among Chinese adults. The patterns of “Television time-less LTPA” and “Computer time-unhealthy diet-more LTPA” for Chinese adults were principal associations. Our findings suggest the need for different behavior preventive intervention on different types of screen-based LTSB among Chinese adults. Funding Sources The survey received funding from NIH and from Ministry of Finance of the People's Republic of China.

scholarly journals A population-based survey on physical inactivity and leisure time physical activity among adults in Chiang Mai, Thailand, 2014

2017 ◽  
Vol 75 (1) ◽  
Author(s):  
Sanhapan Thanamee ◽  
Kanokporn Pinyopornpanish ◽  
Apichai Wattanapisit ◽  
Suparerk Suerungruang ◽  
Kanittha Thaikla ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Inactivity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Population Based ◽  
Chiang Mai ◽  
Population Based Survey

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 Physical activity and sedentary behaviors (screen time and homework) among overweight or obese adolescents: a cross-sectional observational study in Yazd, Iran

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ali Mohammad Hadianfard ◽  
Hassan Mozaffari-Khosravi ◽  
Majid Karandish ◽  
Maryam Azhdari
Keyword(s):  
Physical Activity ◽  
Online Education ◽  
Family Size ◽  
Screen Time ◽  
Physical Inactivity ◽  
Normal Weight ◽  
Sedentary Behaviors ◽  
Food Record ◽  
Cross Sectional ◽  
Passive Transportation

Abstract Background The growing number of adolescents who are overweight or obese (OW / OB) is a public concern. The present study was aimed to evaluate physical activity (PA) and sedentary behaviors (SB) (screen time (ST) and homework time (HT)) among Yazd OW/OB adolescents. Methods This cross-sectional study was performed among 510 students aged 12-16 in Yazd, Iran. The general information, PA, and SB (ST and HT) were collected by interview based on the WHO standard questionnaire. Anthropometric data were assessed by precise instruments. Daily energy intake (Energy) was obtained from a 7-day food record. Nutritionist 4 software (version I) was run to estimate the energy. Results There was a high prevalence of SB > 2h/day (97.6), ST > 2h/day (70.3%), overweight or obesity (40%), abdominal obesity (36.9%), physical inactivity (29.8%) among the students. The younger age (p = 0.014), energy (p < 0.001), no access to the yard (p < 0.001), family size ≤ 2 (p = 0.023), passive transportation, (p = 0.001), the highest school days’ HT (p = 0.033) and SB (p = 0.021), and the highest weekends’ HT among the students were the risk factors for OW/OB. The highest PA level was associated with a lower risk of OW/OB (p < 0.001). The findings were not the same in both sexes. Compared to the normal weight students, OW / OB spent more time on school days and weekdays for ST (P <0.001), HT (P <0.001, P = 0.005) and SB (P <0.001), respectively. OW/OB students showed a higher weekends’ ST (p < 0.001) and lower HT (p = 0.048) than normal-weight students. Conclusion The prevalence of SB, ST, OW/OB, and physical inactivity were common. The school days and weekends’ HT, the school days’ SB and HT, age, energy, PA, and access to the yard, family size, and passive transportation were related to the greater chances of OW/OB students. Given that the expansion of online education and self-isolation in a new situation with COVID-19, it seems we will meet the worrying results.

scholarly journals Prevalence and associated factors with insufficient leisure-time physical activity of adolescents: results of a cross-sectional school population-based study

2020 ◽  
pp. 1
Author(s):  
Camilo L. M. Lourenço ◽  
Venicius Dantas Da Silva ◽  
Edmar Lacerda Mendes
Keyword(s):  
Physical Activity ◽  
Odds Ratio ◽  
Associated Factors ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Population Based ◽  
Minas Gerais ◽  
Cross Sectional ◽  
Population Based Study ◽  
School Population

<p>Objetivo: estimar la prevalencia y los factores asociados con una actividad física insuficiente (AFI) en el tiempo libre entre los adolescentes de una ciudad mediana en el estado de Minas Gerais, Brasil. Métodos: Los datos de la encuesta transversal ACtVU (Uberaba - MG, Brasil) realizada entre mayo y octubre de 2015. Los estudiantes de secundaria de ambos sexos (de 14 a 18 años) comprendieron la muestra. AFI (&lt;300 minutos/semana) fue la variable dependiente y los indicadores sociodemográficos, de comportamiento y de salud fueron las variables independientes evaluadas mediante cuestionarios. Se utilizó la regresión logística binaria para estimar la Odds Ratio (OR). El IMC se utilizó como variable de control. Resultados: 984 estudiantes participaron en este estudio. El porcentaje de AFI fue del 44,9% (IC95%: 41,7; 48,1) y fue mayor entre las niñas (57,1% frente al 29,3% en los niños). Se encontró una mayor probabilidad de AFI en: la calificación para ambos sexos (OR = 2.23 niños, OR = 2.28 niñas), tiempo de pantalla entre semana (OR = 1.29), uso excesivo de teléfonos inteligentes durante la semana (OR = 1.54) y los fines de semana (OR = 1.22) entre niños, que estudian esta noche (OR = 1.80), que tienen un trabajo (OR = 1.24), ingresos familiares (OR = 1.41 para 3 a 5 salarios mínimos y OR = 1.65 para ≥ 6 salarios mínimos), tiempo de pantalla entre semana (OR = 1.87) e insatisfacción con el propio peso (OR = 1.32) entre las niñas. Conclusión: la prevalencia de AFI fue alta. La mayoría de los factores asociados fueron diferentes en niños y niñas.</p>

scholarly journals ERICA: leisure-time physical inactivity in Brazilian adolescents

2016 ◽  
Vol 50 (suppl 1) ◽  
Author(s):  
Felipe Vogt Cureau ◽  
Thiago Luiz Nogueira da Silva ◽  
Katia Vergetti Bloch ◽  
Elizabeth Fujimori ◽  
Dilson Rodrigues Belfort ◽  
...  
Keyword(s):  
Physical Activity ◽  
Low Socioeconomic Status ◽  
Physical Inactivity ◽  
Leisure Time ◽  
Total Sample ◽  
Cross Sectional Study ◽  
Cardiovascular Risks ◽  
Cross Sectional ◽  
Low Socioeconomic ◽  
Economic Class

ABSTRACT OBJECTIVE 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.

scholarly journals Epidemiology of leisure-time physical activity: a population-based study in southern Brazil

2005 ◽  
Vol 21 (1) ◽  
pp. 275-282 ◽  
Author(s):  
Juvenal Soares Dias-da-Costa ◽  
Pedro Curi Hallal ◽  
Jonathan Charles Kingdon Wells ◽  
Tiago Daltoé ◽  
Sandra Costa Fuchs ◽  
...  
Keyword(s):  
Physical Activity ◽  
Skin Color ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Economic Status ◽  
Adult Population ◽  
Female Gender ◽  
Developed Countries ◽  
Population Based ◽  
Cross Sectional

We aimed to measure the prevalence of physical inactivity (PI) during leisure time and to identify variables associated with it in a southern Brazilian adult population. A population-based cross-sectional study was carried out, covering a multiple-stage sample of 1,968 subjects aged 20-69 years. Weekly participation in leisure-time physical activity was addressed. For each activity, energy expenditure was calculated using data on duration, metabolic equivalent, and body weight. Energy expenditures of individual activities were summed to give a weekly total. PI was defined as fewer than 1,000 kilocalories per week. The prevalence of PI was 80.7% (95%CI: 78.9-82.4). After adjusted analyses, the following variables were positively associated with the outcome: female gender, age, living with a partner, and smoking. Schooling and economic status were inversely associated with PI. Chronically undernourished individuals were significantly more likely to be inactive. We found no differences according to skin color or alcohol consumption. In conclusion, the prevalence of PI in this adult population was higher than in populations from developed countries, but the associated variables were similar.

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.

Sedentary Behaviors, Leisure-Time Physical Inactivity, and Chronic Diseases in Brazilian Workers: A Cross Sectional Study

2014 ◽  
Vol 11 (8) ◽  
pp. 1622-1634 ◽  
Author(s):  
Leandro Martin Totaro Garcia ◽  
Kelly Samara da Silva ◽  
Giovâni F. Del Duca ◽  
Filipe Ferreira da Costa ◽  
Markus Vinicius Nahas
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Diseases ◽  
Physical Inactivity ◽  
Leisure Time ◽  
Cross Sectional Study ◽  
Sedentary Behaviors ◽  
Sectional Study ◽  
Cross Sectional ◽  
And Gender

Background:Our purpose was to examine the association of television viewing (hours/day), sedentary work (predominantly sitting at work), passive transportation to work (car or motorcycle), and the clustering of these behaviors (“sedentary lifestyle”), as well as leisure-time physical inactivity (LTPI), with chronic diseases (hypertension, hypercholesterolemia, type 2 diabetes, obesity, and clustering of chronic diseases) in Brazilian workers.Methods:Cross-sectional study conducted from 2006 to 2008 in 24 Brazilian federal units (n = 47,477). A questionnaire was applied. Descriptive statistics, binary and multinomial logistic regressions were used.Results:Magnitude of association with chronic diseases varied greatly across domains and gender. Sedentariness at work was the most consistent behavior associated with chronic diseases, especially in men (ORhypertension = 1.10, 95% CI: 1.01–1.20; ORhypercholesterolemia = 1.34, 95% CI: 1.21–1.48; ORobesity = 1.27, 95% CI: 1.15–1.41; OR1chronic disease = 1.17, 95% CI: 1.09–1.26; OR≥2chronic diseases = 1.61, 95% CI: 1.46–1.78) compared with women (ORhypercholesterolemia = 1.15, 95% CI: 1.01–1.31; ORobesity = 1.24, 95% CI: 1.04–1.48). LTPI was associated with all diseases in men (except type 2 diabetes), but only with obesity in women.Conclusion:Adverse health consequences may be differently associated according to behavior domain and gender. Sedentary work and LTPI were consistently associated with chronic disease in Brazilian workers, especially in men.

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