Participation in recreational physical activity: Why do socioeconomic groups differ?

This qualitative study explored how influences on recreational physical activity (RPA) were patterned by socioeconomic position. Face-to-face interviews were conducted with 10 males and 10 females in three socioeconomic groups (N = 60). Influences salient across all groups included previous opportunities, physical health, social assistance, safety, environmental aesthetics and urban design, physical and health benefits, and barriers of self-consciousness, low skill, and weather/time of year. Influences more salient to the high socioeconomic group included social benefits, achieving a balanced lifestyle, and the barrier of an unpredictable lifestyle. Influences more salient to the high and mid socioeconomic groups included efficacy, perceived need, activity demands, affiliation, emotional benefits, and the barrier of competing demands. Influences more salient to the low socioeconomic group included poor health and barriers of inconvenient access and low personal functioning. Data suggest that efforts to increase RPA in the population should include both general and socioeconomically targeted strategies.

Physical activity profile in heart failure patients from a Brazilian tertiary cardiology hospital

Background: Physical activity (PA) has proven benefits in the primary prevention of heart diseases such as heart failure (HF). Although it is well known, HF PA habits and physicians` advice have been poorly described. The aim of this study was to investigate if physicians were advising HF patients to exercise and to quantify patients` exercise profiles in a complex cardiology hospital. Methods: All 131 HF patients (80 male, average age 53 +/- 10 years, NYHA class I-V, left ventricular ejection fraction 35 +/- 11%, 35 ischemic, 35 idiopatic , 32 hypertensive and 29 with Chagas disease) went to the hospital for a HF routine check-up. On this occasion, after seeing the physician, we asked the patients if the physician had advised them about PA. Then, we asked them to fill in the international physical activity questionnaire (IPQA) Short Form to classify their PA level. Results: Our data showed a significant difference between patients who had received any kind of PA advice from physicians (36%) and those who had not (64%, p<0.0001). Using the IPAQ criteria, of the 36% of patients who had received advice, 12.4% were classified as low and 23.6% as moderate. Of the 64% of patients who did not receive advice, 26.8% were classified as lowand 37.2% as moderate. Etiology (except Chagas), functional class, ejection fraction, sex and age did not influence the PA profile. Conclusions: Physicians at a tertiary cardiology hospital were not giving patients satisfactory advice as to PA. Our data supports the need to strengthen exercise encouragement by physicians and for complementary studies on this area. (Cardiol J 2010; 17, 2: 143-148)

The Association Between Physical Activity, Productivity, and Health Care Utilization Among Employees in Brazil

Objective: To document the relationship between physical activity, absenteeism, presenteeism, health care utilization, and morbidity among Brazilian automotive workers. Methods: Eligible employees (N = 620) completed a questionnaire. Univariate correlations, multivariate logistic regression, and Pearson`s product-moment correlation coefficient were used. Results: Work absenteeism was associated with physical activity at work (OPA) (odds ratio, [OR] = 1.63, 95% confidence interval [CI] = 1.31 to 2.02) and leisure physical activity time excluding sport (OR = 0.73, 95% CI = 0.58 to 1.00). Health care utilization was associated with OPA (OR = 1.25, 95% CI = 0.99 to 1.58) and leisure physical activity time excluding sport (OR = 0.76, 95% CI = 0.57 to 1.02). Presenteeism showed an indirect relationship with OPA (r = 0.099, P = 0.014). Referred morbidity was associated with OPA (OR = 1.3, 95% CI = 1.06 to 1.61) and sports during leisure time (OR = 0.67, 95% CI = 0.54 to 0.82). Conclusions: Physical activity components seem to have differential relationships to the studied outcomes. Associations measured indicate negative impacts of OPA on absenteeism, health care utilization, and morbidity, although overall physical activity did not show these relationships.

Correlates of adults' participation in physical activity: review and update

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Differences in physical activity between black and white girls living in rural and urban areas

This study examined the relationship of race and rural/urban setting to physical, behavioral, psychosocial, and environmental factors associated with physical activity. Subjects included 1,668 eighth-grade girls from 31 middle schools: 933 from urban settings, and 735 from rural settings. Forty-six percent of urban girls and 59% of rural girls were Black. One-way and two-way ANOVAs with school as a covariate were used to analyze the data. Results indicated that most differences were associated with race rather than setting. Black girls were less active than White girls, reporting significantly fewer 30-minute blocks of both vigorous and moderate-to-vigorous physical activity. Black girls also spent more time watching television, and had higher BMIs and greater prevalence of overweight than White girls. However, enjoyment of physical education and family involvement in physical activity were greater among Black girls titan White girls. Rural White girls and urban Black girls had more favorable attitudes toward physical activity. Access to sports equipment, perceived safety of neighborhood, and physical activity self-efficacy were higher in White girls than Black girls.