The aims of this study were to (i) examine gender differences in physical inactivity in countries with different levels of Human Development Index (HDI); and (ii) assess whether small changes in the ...prevalence of inactivity in women could achieve the World Health Organization's (WHO) global inactivity target.
Data on inactivity were extracted for 142 countries for the year 2010 from the WHO Data Repository. Data for HDI were obtained for the year 2010 from the United Nations Development Program. Absolute and relative gender differences were calculated for countries according to four HDI categories. The potential effects of increasing women's activity levels on achievement of the WHO physical inactivity target were computed.
Overall inactivity prevalence was higher in women (27%) than in men (20%). Women were more inactive than men in all except eight countries. Absolute gender differences median 7.5% (range -10.1 to 33.2) did not vary by HDI category, but there was a small negative correlation between relative gender difference in inactivity and HDI (rho -0.19; p = 0.02), which was mostly influenced by three outlier countries with low HDI. A decrease in inactivity levels of 4.8% points among women across the world would achieve the WHO target of reducing global levels of inactivity by 10%.
Gender differences in the prevalence of physical inactivity were highly variable, both within and across categories of HDI. Interventions which result in small changes in inactivity prevalence in women would achieve the 2025 WHO global target for inactivity, without any change to the prevalence in men.
There is rapidly-emerging evidence on the harmful health effects of sedentary behaviors. The aim of this paper was to quantify time in sedentary behaviors and document socio-demographic variations in ...different life domains among adults.
A population-based survey was carried out in 2012 through face-to-face interviews with Brazilian adults aged 20+ years (N = 2,927). Information about time spent sedentary in a typical weekday was collected for five different domains (workplace, commuting, school/university, watching TV, and computer use at home). Descriptive and bivariate analyses examined variations in overall and domain-specific sedentary time by gender, age, educational attainment and socioeconomic position.
On average, participants reported spending 5.8 (SD 4.5) hours per day sitting. The median value was 4.5 (interquartile range: 2.5-8) hours. Men, younger adults, those with higher schooling and from the wealthiest socioeconomic groups had higher overall sedentary scores. TV time was higher in women, older adults and among those with low schooling and socioeconomic position. Sedentary time in transport was higher in men, younger adults, and participants with high schooling and high socioeconomic position. Computer use at home was more frequent among young adults and those from high socioeconomic groups. Sitting at work was higher in those with higher schooling and from the wealthiest socioeconomic groups. Sedentary behavior at school was related inversely to age and directly to schooling.
Patterns of sedentary behavior are different by life domains. Initiatives to reduce prolonged sitting among Brazilian adults will be required on multiple levels for different life domains.
This study was conducted to examine the lifestyle behaviors and health promoting practices of physicians, nurses, and community health workers in Brazil.
A random sample of primary health care units ...in Brazil was selected, and a pretested questionnaire was administered via phone interviews, in 2011, to 182 physicians, 347 nurses, and 269 community health workers, totaling 798 health professionals. The total initial sample included 1600 eligible health professionals. Variables measured included physical activity, alcohol intake, hours of sleep, diet, and perceived self-efficacy to provide preventive counseling on related lifestyle behaviors.
More than 25 % of physicians, nurses, and community health workers reported eating 0-2 portions of fruits and vegetables per day. In terms of cervical and breast cancer, nurses reported to be 'very prepared' to advise patients on these topics more frequently than physicians. The prevalence of smoking ranged from 4.9 % among nurses to 7.4 % among community health workers. The proportion of physical inactivity ranged from 40.3 % among nurses to 52.1 % among community health workers.
A reasonably high proportion of physicians, nurses, and community health workers report not engaging in healthy lifestyle behaviors that impact chronic diseases, thus, they may be less likely to encourage such behaviors in their patients.
We examined the association of physical activity (PA) facilities and access to school with total PA and domain-specific PA in adolescents. We enrolled 2610 adolescents (mean: 14.9 years) from Sao ...Paulo city. The number and presence of sports courts, swimming pools, locker rooms, running/athletics tracks, entrance accessible for student cyclists, bike racks, speed limit signal around the school, and pedestrian crossing were assessed in each school. All participants responded to a questionnaire about frequency and duration of physical education classes, leisure time, and active commuting. Total PA was obtained by adding up all PA domains. Presence of three or more (OR: 1.62; 95% CI: 1.15 to 2.30) sports courts, swimming pool available in usable conditions (OR: 1.45; 95% CI: 1.01 to 2.10), running/athletics tracks (OR: 2.35; 95% CI: 1.07 to 5.18), and bike racks (OR: 1.38; 95% CI: 1.07 to 1.78) were positively associated with total PA. Number of sports courts, swimming pool available in usable conditions, speed limit signals around the school, and pedestrian crossings were positively associated with physical education classes. The bike racks, speed limit signs around the school, and pedestrian crossings were positively associated with active commuting. School environment was associated with increased PA. Our findings should be considered in future epidemiologic studies and for educational and health policy makers.
This study evaluated the test-retest reliability of a questionnaire assessing five domains of sedentary behaviour, and compared an overall indicator of sitting time with measures obtained by a ...multi-domain questionnaire, among adults living in Brazil. Data from two different studies carried out in Pelotas, Brazil, were used. Study A: evaluated 7-day reliability of a multi-domain sedentary behaviour questionnaire among 78 adults (≥18 years). Study B was a population-based study (n = 2,871 adults aged 20+ years) where a score of sedentary behaviour based on time spent sitting in five domains was compared with overall sitting time. Lin's Concordance Correlation coefficients (CCC) and Bland-Altman plots were used to assess agreement between measures. The 7-day reliability of multi-domain questionnaire did not show marked differences in the median of minutes spent in each domain (Study A). For the total score, the Lin's CCC was 0.87. When sitting time was measured by a single question, participants reported on average less sedentary time compared to the multiple-domain questionnaire (Study B). There was a slightly greater difference between measures among participants who reported higher sedentary time. Assessing sedentary behaviour in different domains would appear to be preferable to employing a general question on the total time spent sitting per day.
•Adolescents from Europe and Central Asia and North America had a higher probability of presenting a high prevalence of ≥60 MVPA ≥1 days per week compared to adolescents from other ...regions.•Increasing the prevalence of ≥60 MVPA ≥1 days per week should be a priority in promoting physical activity among girls.•Especially in low- and middle-income countries, the monitoring of ≥60 min per day of MVPA ≥1 days per week might be included as part of physical activity surveillance systems.
Guidelines recommend that adolescents should accumulate an average of 60 min per day of moderate-to-vigorous physical activity (MVPA). However, using only this cut-off could hide important information. For instance, from a population-level point of view, increasing physical activity for those with no or low physical activity could provide more health benefits than increasing physical activity for those with intermediate levels. Also, including a more sensitive cut-point of ≥1 days per week could be an additional strategy for identifying those with low access/opportunities for physical activity practice. Thus, the current study aims to estimate the prevalence of ≥60 min of MVPA ≥1 days per week among adolescents globally, and to describe any relevant gender inequalities.
We used representative datasets from 146 countries/territories collected between 2003 and 2019. MVPA was self-reported. Participants were grouped into younger (≤14 years old) and older (>14 years old) adolescents. Crude Poisson regression models were used to identify the relative differences in ≥60 min of MVPA ≥1 days per week between boys and girls, and random-effects meta-analysis models were used to identify the pooled estimates. Analyses were stratified by country and region.
Approximately 80% of both younger and older adolescents reported ≥60 min of MVPA ≥1 days per week. This prevalence was ≥94% in Europe and Central Asia and North America, while the estimates for the other regions were <77%. The prevalence of ≥60 min of MVPA ≥1 days per week was higher among boys than girls, with the largest differences occurring among the oldest adolescents (Prevalence ratio≤14y = 1.04 (95% confidence interval (95%CI)): 1.03‒1.04) vs. Prevalence ratio>14y = 1.09 (95%CI: 1.08‒1.10)).
Approximately 8 out of 10 adolescents reported accumulating ≥60 min of MVPA ≥1 days per week, with notable differences between regions. Gender differences were observed in several countries, especially among the oldest adolescents. Priorities for physical activity promotion among adolescents should include increasing access/opportunities for physical activity among those who do not achieve ≥60 min of MVPA ≥1 days per week and reducing gender inequalities.
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Objectives The aim of this review was to assess the risk of cardiovascular disease (CVD) events associated with shift work and determine if there is a dose-response relationship in this association. ...Method Electronic databases (PubMed, Scopus, and Web of Science) were searched for cohort or case-control control study designs in any population, reporting exposure to shift work as the main contributing factor to estimate CVD risk. For each study, adjusted relative risk (RR) ratios and 95% confidence intervals (CI) were extracted, and used to calculate the pooled RR using random-effect models. Meta-regression analysis was conducted to explore potential heterogeneity sources. Potential non-linear dose-response relationships were examined using fractional polynomial models. Results We included 21 studies with a total of 173 010 unique participants. The majority of the studies were ranked low-to-moderate risk of bias. The risk of any CVD event was 17% higher among shift workers than day workers. The risk of coronary heart disease (CHD) morbidity was 26% higher (1.26, 95% CI 1.10-1.43, I^2= 48.0%). Sub-group analysis showed an almost 20% higher risk of CVD and CHD mortality among shift workers than those who did not work shifts (1.22, 95% CI 1.09-1.37, I^2= 0% and 1.18, 95% CI 1.06-1.32 I^2=0%; respectively). After the first five years of shift work, there was a 7.1% increase in risk of CVD events for every additional five years of exposure (95% CI 1.05-1.10). Heterogeneity of the pooled effect size (ES) estimates was high (I^2=67%), and meta-regression analysis showed that sample size explained 7.7% of this. Conclusions The association between shift work and CVD risk is non-linear and seems to appear only after the first five years of exposure. As shift work remains crucial for meeting production and service demands across many industries, policies and initiatives are needed to reduce shift workers' CVD risk.
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