Associação entre prática de atividade física no tempo de lazer e medicação permanente em adultos de uma região de baixo nível socioeconômico (original) (raw)
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Relationship between Physical Activity and Medicine Use in the Spanish Population
Sustainability
Health care costs in first world populations are rising, partly due to increased use of medicines. Sedentary lifestyles and global demographic ageing have contributed to this. A physically more active population could reduce the use of medicines. The aim is to analyse the relationships between physical activity level (PAL) and medication use in the Spanish population, by sexes and age groups. Methods: A cross-sectional study with 17,199 participants, from the Spanish National Health Survey 2017. A study of normality: Normality was studied using the Kolmogorov–Smirnov test. A descriptive analysis was performed to characterise the sample. Non-parametric statistical tests were used: chi-square statistics (ordinal variables) and a Mann–Whitney U test (continuous variables) to analyse intergroup differences. A correlation study was carried out—Spearman’s rho—between medication use and PAL. A multiple binary logistic regression was performed, taking medication use as the dependent variabl...
Objective. To assess the physical activity of working residents of Warsaw aged 20–69 years, as well as to identify the sociodemographic factors associated with their levels of physical activity. Materials and method. The study involved 2,544 working residents of Warsaw aged 20–69 years. The short version of the IPAQ was applied and four physical activity levels (insufficient, sufficient, augmented, high) were distinguished. The relationships between physical activity and gender, age, BMI, education, economic and martial status as well as participation in recreation were determined. Results. High levels of physical activity were reached by 8% of respondents, 22% achieved augmented level, 32% were sufficiently and 32% insufficiently active. Out of 2544 studied subjects, 6% declared complete sedentariness. Females were, as compared to males, more frequently (p<0.05) insufficiently active (35.9 vs. 31.9%). In obese and overweight subjects insufficient physical activity predominated (42.9 and 36.2%, respectively) and was significantly more frequent than in subjects with normal BMI (31.0%). Moreover, the subjects living in partner relationships were significantly (p<0.05) more frequently insufficiently active than those staying single (36.3 vs. 30.3%). Respondents who declared regular participation in leisure activities were less frequently insufficiently active (20.0%) and more frequently met the criteria of sufficient (37.6%), augmented (28.0%) or high (14.4%) level of physical activity. No significant effects were found with respect to education of respondents. Conclusions. Prophylactic schedules associated with the improvement of physical activity level should be addressed particularly to females, people taking up recreation occasionally or to those not involved in recreation at all, living in partner relationships, youngest (21–30 years), in obese and overweight and in the lowest economic category.
Leisure physical activity of people with and without chronic non-communicable diseases
Revista Brasileira de Enfermagem, 2020
Objectives: to analyze the leisure physical activity of people with and without chronic non-communicable diseases by the single health system of the city of Ribeirão Preto – São Paulo. Methods: observational cross-sectional study, data were collected by means of interviews in a sample for convenience and random of adults. Results: there were 719 people, where 70.1% had chronic non-communicable diseases, being 68.1% inactive. Physical inactivity presents a similar distribution between the groups with and without disease and a national average in leisure physical activity. Conclusions: these data are aimed at health services that do not encourage physical and auditory leisure activities, such as multiprofessional activities in the health area.
BMC public health, 2015
Physical activity and healthcare utilization has negative association. However, there appears to be limited knowledge of how this association is affected by self-rated health (SRH) and socio-economic status (SES). Therefore, the aim of this study was to examine the association between leisure-time physical activity (LTPA) and healthcare utilization, and investigate how SRH, gender, age and SES affected this association. A cross-sectional public health survey was conducted in Skåne, Sweden 2012, based on a random sample with 55,000 participants (response rate 51 %; 28,028 individuals included in the study) aged 18-80 years. The data was linked to individual healthcare utilization data and socio-economic data. Logistic regression analyses were conducted to study the association between LTPA and healthcare utilization. Path analysis was used to investigate the possible mediation effect of SRH to the association between LTPA and healthcare utilization. Compared to sedentary leisure time...
Health status and socioeconomic factors as determinants of physical activity level in the elderly
Medical science monitor : international medical journal of experimental and clinical research, 2003
The aim of our study was to assess the health status and Physical Activity Level (PAL) of the elderly population and determine the role of health status and socioeconomic factors in PAL. A total of 84 subjects (65 men and 19 women) participated in this study. These individuals were living independently, and attending rehabilitation centers for the elderly in Thessaloniki, Greece. The mean age of the subjects was 74.4 years (SD 7.9). Data was collected with a special questionnaire regarding health status and PAL, during individual interviews. The mean PAL value was 1.519, SD 0.115. Significant positive correlation was found between PAL and educational level (r=0.286, p<0.05). Regarding the relation of illnesses to PAL, one-way ANOVA indicated that individuals under treatment for heart arrhythmia and myocardial infarction, as well as those who had undergone a by-pass operation, had higher PAL values (1.659+/-0.0649, 1.551+/-0.093 and 1.613+/-0.0978, respectively) compared to those ...
Arquivos Brasileiros de Cardiologia, 2009
Background: Studies that considered only the leisure physical activity found that the physical inactivity is higher among lower-income individuals. There is a possibility that this association shows modifications, when considering transportation, work and domestic activities. Objective: To determine whether there is a difference between the prevalence of physical inactivity between individuals of high and low socioeconomic levels. Methods: The sample consisted of individuals of both sexes, aged 18 or older, from two groups of different socioeconomic levels. The low socioeconomic level (LSEL) group consisted of the parents of students from a public school. The high socioeconomic level (HSEL) group consisted of the parents of students from a private College. The International Physical Activity Questionnaire (IPAQ) was used to determine the level of physical activity. Results: A total of 91 individuals were evaluated in the LSEL group and 59 in the HSEL group. In the LSEL group, 42.9% (39) of the individuals were classified as insufficiently active, compared to 57.6% (34) of individuals in the HSEL group. Taking as a parameter of physical inactivity the time of weekly physical activity < 150 minutes, there was a decrease in the classification of inactivity in both groups, although with the maintenance of higher inactivity among individuals of HSEL (49.2% vs 28.6%; p= 0.01). Conclusion: The individuals of HSEL are more sedentary than the individuals of LSEL.
Retos, 2016
Background: Physical activity is of particular interest due to its potential for improving quality of life and reducing health care costs. The contribution of this paper is to analyse the correlates of physical activity (PA) among individuals aged 50-70 years old. We differentiate between physical activity during leisure time (LTPA) and total physical activity (Total PA) and besides we offer potential policy advice to increase PA. Methods: We use a cross-sectional survey from a sample of Spanish individuals between 50 and 70 years of age. We analyse the correlates of LTPA and Total PA by estimating ordered probit models including socio-demographic characteristics, health and emotional wellbeing and social support. Results: The covariates explain in different ways LTPA and Total PA levels. In particular, the accomplishment of a minimum of LTPA is positively related to partner participation in LTPA (p<0.01), a good life satisfaction (p<0.01), being male (p<0.01) and secondary...
A influência de factores pessoais, sociais e ambientais na prática de actividade física dos adultos
Rev. Port. Sau. Pub, 2010
Despite the guidelines and the well-recognized benefits of regular physical activity, there is evidence that a large number of people is still reported to be inactive. Therefore, the need for interventions that can promote a healthier behavior has increased. As an understanding of the determinants of physical activity behavior by health professionals is an important prerequisite to designing effective interventions, studies on the identification of the determinants of physical activity are warranted. The purpose of this work is to review and update the research on determinants underlying physical activity behaviour in adults and to provide an overview of physical activity patterns among adult populations. The findings highlight the need for an evaluation of the interactive effects of psychosocial, cultural, environmental and public policy influences on physical activity forging a trans-disciplinary paradigm.
Sociodemographic Associations of Physical Activity in People of Working Age
International Journal of Environmental Research and Public Health
The aim of this study was to identify relationships between the physical activity and sociodemographic status of respondents aged 18–64 years. The research was conducted in 2014 and 2015 in Wrocław, Poland. The study group comprised 4460 people. The sample selection was random and stratified. The research tool was the International Physical Activity Questionnaire—Short Form. Levels of physical activity declared by respondents were compared with the recommendations of the American College of Sports Medicine (ACSM). Data on respondents’ sociodemographic status was also obtained. The Mann–Whitney U test for samples, Kruskal–Wallis test by ranks, and total and binary logistic regression were used in statistical analysis. Among the respondents, the ACSM health recommendations were met by 43.7% in total (43.2% women and 44.3% men). All analyzed sociodemographic variables differentiated respondents’ physical activity. The youngest respondents were found to be the most physically active. Wr...