Worldwide variability in physical inactivity a 51-country survey.
ABSTRACT Physical inactivity is an important risk factor for chronic diseases, but for many (mainly developing) countries, no prevalence data have ever been published.
To present data on the prevalence of physical inactivity for 51 countries and for different age groups and settings across these countries.
Data analysis (conducted in 2007) included data from 212,021 adult participants whose questionnaires were culled from 259,526 adult observations from 51 countries participating in the World Health Survey (2002-2003). The validated International Physical Activity Questionnaire (IPAQ) was used to assess days and duration of vigorous, moderate, and walking activities during the last 7 days.
Country prevalence of physical inactivity ranged from 1.6% (Comoros) to 51.7% (Mauritania) for men and from 3.8% (Comoros) to 71.2% (Mauritania) for women. Physical inactivity was generally high for older age groups and lower in rural as compared to urban areas.
Overall, about 15% of men and 20% of women from the 51 countries analyzed here (most of which are developing countries) are at risk for chronic diseases due to physical inactivity. There were substantial variations across countries and settings. The baseline information on the magnitude of the problem of physical inactivity provided by this study can help countries and health policymakers to set up interventions addressing the global chronic disease epidemic.
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ABSTRACT: Background In recent years, there has been a decline in physical activity among adults. Motivation has been shown to be a crucial factor in maintaining physical activity. The purpose of this study was to examine whether motives for participation could accurately discriminate gender, age, and type of physical activity.MethodsA quantitative, cross-sectional descriptive research design was employed. The Physical Activity and Leisure Motivation Scale (PALMS) was used to assess motives for physical activity in 1,360 adults (703 males, 657 females) who had been exercising regularly for at least six months. The PALMS consists of 40 items that constitute eight sub-scales (mastery, enjoyment, psychological condition, physical condition, appearance, others¿ expectations, affiliation, competition/ego). Respondents were divided into two age groups (young adults aged 20 to 40 years and middle-aged adults 41 to 64 years) and five types of activity (individual racing sports plus bowls, team sports, racquet sports, martial arts, and exercise).ResultsThe group discriminant function analyses revealed significant canonical functions correctly classifying the cases into gender (82%), age group (83%), team sport players 76%, individual racing sport plus bowls players 91%, racquet sport players 90%, exercisers 84%, and martial art players 91%. The competition/ego, appearance, physical condition, and mastery sub-scales contributed most to gender differences. Five sub-scales (mastery, psychological condition, others¿ expectations, affiliation, and enjoyment) contributed most to the discriminant function for age. For type of activity, different sub-scales were the strongest contributors to the discriminant function for each type of PA.Conclusion The findings in this study suggest that strong and important motives for participation in physical activity are different across type of activity, age, and gender in adults. Understanding the motives that influence physical activity participation is critical for developing interventions to promote higher levels of involvement.BMC Public Health 01/2015; 15(1):66. · 2.32 Impact Factor
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ABSTRACT: Physical inactivity has been associated with obesity and related chronic diseases. Understanding built environment (BE) influences on specific domains of physical activity (PA) around homes and workplaces is important for public health interventions to increase population PA. To examine the association of home and workplace BE features with PA occurring across specific life domains (work, leisure, and travel). Between 2012 and 2013, telephone interviews were conducted with participants in four Missouri metropolitan areas. Questions included sociodemographic characteristics, home and workplace supports for PA, and dietary behaviors. Data analysis was conducted in 2013; logistic regression was used to examine associations between BE features and domain-specific PA. In home neighborhoods, seven of 12 BE features (availability of fruits and vegetables, presence of shops and stores, bike facilities, recreation facilities, crime rate, seeing others active, and interesting things) were associated with leisure PA. The global average score of home neighborhood BE features was associated with greater odds of travel PA (AOR=1.99, 95% CI=1.46, 2.72); leisure PA (AOR=1.84, 95% CI=1.44, 2.34); and total PA (AOR=1.41, 95% CI=1.04, 1.92). Associations between workplace neighborhoods' BE features and workplace PA were small but in the expected direction. This study offers empirical evidence on BE supports for domain-specific PA. Findings suggest that diverse, attractive, and walkable neighborhoods around workplaces support walking, bicycling, and use of public transit. Public health practitioners, researchers, and worksite leaders could benefit by utilizing worksite domains and measures from this study for future BE assessments. Copyright © 2014 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.American Journal of Preventive Medicine 11/2014; · 4.28 Impact Factor
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ABSTRACT: The "Walking Estimated-Limitation Calculated by History" (WELCH) questionnaire is a short four-item questionnaire that estimates the walking capacity of a patient in comparison with relatives, friends or people the same age. As such, it should be relatively insensitive to age, yet this has never been tested. A prospective study was performed among 525 patients presenting vascular-type claudication. Patients were grouped into quintiles of age-from quintile 1 for the youngest patients to quintile 5 for the oldest ones. Patients completed a self-administered questionnaire and then had their maximal walking time (MWT) measured on a treadmill. We estimated the coefficient of correlation, the slope and the intercept of the relationship between the WELCH score and the MWT, then the accuracy of a WELCH score under 25 to predict the ability to walk for 5 min on a treadmill. The slopes of the relationships and the correlation coefficients were not significantly different in each quintile, but a significant shift in the intercept of regressing lines was found with age. Nevertheless, the accuracy in predicting treadmill results from the WELCH score with a cut-off point of 25 was, respectively, 68.6, 72.4, 80.0, 72.4 and 73.3 % in quintiles 1, 2, 3, 4 and 5 (p = 0.45). The relationship of MWT on a treadmill and the WELCH score is slightly influenced by age, but a score superior to 25 seems to be of equal discriminatory performance in different quintiles of age to predict the ability to walk for 5 min on a treadmill. This makes this cut-off limit of interest for routine use, regardless of age.Quality of Life Research 01/2015; · 2.86 Impact Factor