Physical Inactivity in the Baltic Countries

Pomerleau, Joceline; McKee, Martin; Robertson, Aileen; Vaasc, Sirje; Kadziauskiene, Kamelija; Abaravicius, Algis; Bartkeviciute, Roma; Pudule, Iveta; Grīnberga, Daiga

doi:10.1006/pmed.2000.0761

Cited by 52 publications

(52 citation statements)

References 10 publications

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“…Most of the literature of high-income countries, such as the United States, Australia and England, and middle-and low-income countries, such as Peru and the Baltic countries, confi rmed that men are more active in leisure time than women. 5,17,19,22 In the present study, men were also more active than women in transportation activities, although the frequency of active women in household chores was three times higher than that of men. Likewise, Florindo et al (2009) 6 showed that men were more active in leisure time, at work and in transportation, while household chores signifi cantly increased the physical activity level in women.…”

Section: Discussioncontrasting

confidence: 57%

“…The same pattern was found for physical activity at work in Australia, 20 Albania 23 and the United States, 1 and for physical activity in the four domains in Brazil, 6 Colombia 8 and other 51 middleand low-income countries. 9 The positive association between level of education and physical activity practice in leisure time has been observed in Brazil 2,14 and in countries such as Peru, 22 Baltic countries, 19 Mexico 11 and in high-income countries as well. 1,3,5,20 In the present study, activities performed at work, in transportation and heavy household cleaning were those that most contributed for the physical activity level in individuals with lower level of education.…”

Section: Discussionmentioning

confidence: 98%

“…Studies in Brazil, 2,14 Spain, 3 Germany, 21 Baltic countries 19 and Australia 17 showed a reduction in physical activity practice in leisure time with age. The same pattern was found for physical activity at work in Australia, 20 Albania 23 and the United States, 1 and for physical activity in the four domains in Brazil, 6 Colombia 8 and other 51 middleand low-income countries.…”

Section: Discussionmentioning

confidence: 98%

“…2,11,14,19,22,23 In high-income countries, such as the United States, Germany, England and Australia, prevalences varied between 25% and 62%. 1,3,5,6,12,17,21 A Behavioral Risk Factors Surveillance System (BRFSS) survey conducted in 2006, with a sample of 50 U.S. states, in addition to the District of Columbia, Virgin Islands and Puerto Rico, showed prevalences of physical inactivity in leisure time between 14.2% and 41.2%; 12 thus, lower than those found in all Brazilian state capitals and the Federal District.…”

Section: Discussionmentioning

confidence: 99%

“…Leisure is the most frequently studied domain, with higher frequency in epidemiological surveys, both in high-income countries 1,3,5,12,13,17 and middle-or low-income ones. 2,11,14,19,22,23 However, other types of physical activities, in addition to leisure-time ones, are important, especially in middle-and low-income countries, due to certain social characteristics. 10 The aim of the present study was to describe the practice of physical activities of adults in the leisure-time, occupational, transportation and household domains and its association with sociodemographic and environmental factors.…”

mentioning

confidence: 99%

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Prática de atividades físicas e fatores associados em adultos, Brasil, 2006

et al. 2009

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OBJETIVO: Estimar a prevalência da prática de atividades físicas por adultos e sua associação com fatores sociodemográficos e ambientais. MÉTODOS: Foram utilizados dados do Sistema de Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico coletados em 2006. Os 54.369 adultos entrevistados residiam em domicílios com linha telefônica fixa nas capitais brasileiras e Distrito Federal. A prática de atividades físicas foi considerada nos domínios do lazer, trabalho, atividade doméstica e deslocamento. As variáveis estudadas incluíram características sociodemográficas dos indivíduos e ambientais das cidades; a associação com as atividades físicas foi analisada segundo sexo. RESULTADOS: As proporções de indivíduos ativos foram de 14,8% no lazer, 38,2% no trabalho, 11,7% no deslocamento e 48,5% nas atividades domésticas. Índices superiores a 60% de inativos no lazer foram observados em dez capitais. Os homens foram mais ativos que as mulheres em todos os domínios, exceto nas atividades domésticas. A proporção de indivíduos ativos decresceu com o aumento da idade. A escolaridade associou-se diretamente com a atividade física no lazer. Os homens ativos no deslocamento tiveram maior chance de ser ativos no lazer, enquanto que as pessoas inativas no trabalho tiveram maior chance de serem ativas no lazer. A existência de local para praticar atividades físicas próximo à residência associou-se à atividade física no lazer. CONCLUSÕES: Os resultados obtidos são importantes para o monitoramento dos níveis de atividades físicas no Brasil. Para a promoção das atividades físicas, deve-se considerar as diferenças entre homens e mulheres, as diferenças nas faixas etárias e nos níveis de escolaridade. Deve-se investir principalmente na promoção das atividades físicas no lazer e como forma de deslocamento e em locais adequados para a prática próximos às residências.

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Section: Discussioncontrasting

confidence: 57%

Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

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Prática de atividades físicas e fatores associados em adultos, Brasil, 2006

et al. 2009

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Monitoring physical activity in Baltic countries: the FINBALT study, HBSC and other surveys in young people

et al. 2006

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Aim: The promotion of health through increased physical activity (PA) has become a national public health objective for both adults and children. To achieve this aim a good and comparable monitoring system of PA and its determinants is needed. The aim of the current review paper is to describe how PA is monitored and what the trends are in PA among adults and children in Baltic countries and Finland as well as the association between PA, body mass index (BMI) and socio-economic determinants. Subjects and methods: Data from two relevant surveys at the moment were used to make comparisons in PA trends between Baltic countries and Finland: FINBALT Health Monitor for adults aged 16-64 years and Health Behaviour in School-aged Children (HBSC) for 11-, 13-and 15-year-old schoolchildren. Results and conclusions:The percentage of adults involved in PA twice a week in Baltic countries is remarkably lower than in Finland. Among schoolchildren no clear country difference is obvious in the participation in leisure time PA between Baltic countries and Finland. After graduating school, involvement in organised PA decreases in young people remarkably. Both overweight and obese adults and children tend to be less physically active than normal weight persons. Adults and young people from more affluent families are more physically active than those in less affluent families. In order to better explain the changes in PA trends and the effectiveness of preventive work, more and better indicators that determine the involvement in PA and the effectiveness of interventions have to be added to the survey questionnaires.

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