A review of population-based prevalence studies of physical activity in adults in the Asia-Pacific region

Background: Physical activity (PA) surveillance is an important component of non-communicable disease risk factor monitoring, and occurs through national and international surveillance systems. This review identifies population PA estimates for adults in the Asia-Pacific region, and examines variation in trends and prevalence rates obtained using different PA measures.

Methods: Data were obtained from a MEDLINE search; World Health Organization’s Global Health Infobase; Government websites and reference lists of relevant papers. Inclusion criteria included: national studies or those reporting large scale population-level data; data published from 2000 to 2010 and trend data prior; sample sizes over n = 1000, or fewer subjects in small nations.

Results: In total, 56 population surveys from 29 Asia-Pacific countries were identified. Data on ‘sufficient physical activity’ amongst adults were available from 45 studies (80%), with estimates ranging from 7% to 93% (median 62%, inter-quartile range 40%-85%). For 14 countries, estimates of ‘sufficient activity’ were documented in multiple surveys using different methods, with the largest variation from 18% to 92% in Nepal. Median or mean METminutes/ day, reported in 20 studies, ranged from 6 to 1356. Serial trend data were available for 11 countries (22%), for periods spanning 2-10 years. Of these, five countries demonstrated increases in physical activity over time, four demonstrated decreases and three showed no changes.

Conclusions: Many countries in the Asia-Pacific region collect population-level PA data. This review highlights differences in estimates within and between countries. Some differences may be real, others due to variation in the PA questions asked and survey methods used. Use of standardized protocols and measures, and combined reporting of data are essential goals of improved international PA surveillance.

Characteristics of participants in Australia's Get Healthy telephone-based lifestyle information and coaching service : reaching disadvantaged communities and those most at need

To address increasing rates of overweight and obesity, a population-based telephone intervention was introduced in New South Wales, Australia. The Get Healthy Information and Coaching Service® (GHS) offered participants a 6-month coaching program or detailed self-help information. Determining the population reach of GHS is of public health importance to ensure that the program reaches disadvantaged groups. This paper describes the socio-demographic and risk profile of participants (n = 4828) in the first 18 months of operations, determines how representative they are of the population, assesses changes in participants’ socio-demographic profile and compares ‘information-only’ and ‘coaching’ participants. The results show that GHS users are representative of the adult population in relation to education, employment status, Aboriginal status, fruit and vegetable consumption and alcohol use. However, more female, middle-aged, English-speaking, rural and socially disadvantaged adults participated in GHS. Coaching Participants were more likely to be overweight and to be ex-smokers than the general population. There was substantial variability in GHS recruitment, when mass-reach television advertising was used, participants enrolled from a major city and from more disadvantaged communities. The GHS has broader population reach than many local interventions, but further efforts are needed to increase reach by Aboriginal communities, other minorities and men.

Active, healthy cities ? how does population physical activity vary between Australian cities?

Issue addressed: Despite recognition that urban infrastructure influences physical activity, there have been no comparisons between Australian city-level patterns of physical activity. This study ranked Australian cities in terms of adults? participation in leisure-time physical activity and examined city-level variations in activity trends between 2001 and 2009. Methods: Data on participation in leisure-time physical activity in adults (=15 years) between 2001 and 2009 were obtained from the Exercise Recreation and Sport Survey (ERASS), a computer-assisted telephone interview conducted to collect population-level sport participation information by the Australian Sports Commission. Data were analysed for respondents residing in the eight capital cities of Australia. The prevalence of meeting recommended ?health-enhancing physical activity? (HEPA) and levels of walking were calculated by age, gender and survey year. Multiple linear logistic regression analyses were used to compare cities. Results: Pooled data from 174,323 adults across years showed that Melbourne, Brisbane, Perth and Canberra residents were significantly more active than Sydney, Adelaide and Hobart residents in terms of HEPA. Hobart, Perth and Melbourne residents were significantly more likely to walk =5 sessions a week compared with their counterparts in other cities. HEPA and walking increased across most cities between 2001 and 2009. Conclusion: There are significant differences between Australian cities in physical activity and walking levels, over and above differences attributable to age, gender or educational levels. While this may be due to infrastructure differences, comparative information on indicators of the built environment and transport infrastructure are not available.

Advancing science and policy through a coordinated international study of physical activity and built environments: IPEN Adult methods

Background: National and international strategies to increase physical activity emphasize environmental and policy changes that can have widespread and long-lasting impact. Evidence from multiple countries using comparable methods is required to strengthen the evidence base for such initiatives. Because some environment and policy changes could have generalizable effects and others may depend on each country’s context, only international studies using comparable methods can identify the relevant differences. Methods: Currently 12 countries are participating in the International Physical Activity and the Environment Network (IPEN) study. The IPEN Adult study design involves recruiting adult participants from neighborhoods with wide variations in environmental walkability attributes and socioeconomic status (SES). Results: Eleven of twelve countries are providing accelerometer data and 11 are providing GIS data. Current projections indicate that 14,119 participants will provide survey data on built environments and physical activity and 7145 are likely to provide objective data on both the independent and dependent variables. Though studies are highly comparable, some adaptations are required based on the local context. Conclusions: This study was designed to inform evidence-based international and country-specific physical activity policies and interventions to help prevent obesity and other chronic diseases that are high in developed countries and growing rapidly in developing countries.