Correlates of prolonged television viewing time in older Japanese men and women

BMC Public Health (Impact Factor: 2.26). 03/2013; 13(1):213. DOI: 10.1186/1471-2458-13-213
Source: PubMed


In addition to insufficient moderate-to-vigorous physical activity (MVPA), prolonged sitting time is also a health risk for older adults. An understanding of population subgroups who have prolonged television viewing (TV) time, a predominant sedentary behavior, can aid in the development of relevant health promotion initiatives; however, few such studies have focused on older adults, the most sedentary segment of the population as a whole. The aim of this study is to examine the socio-demographic attributes associated with TV time among community-dwelling Japanese older men and women.

A population-based, cross-sectional mail survey was used to collect data on TV time, MVPA, and socio-demographic characteristics. The survey was conducted from February through March 2010. Participants were 2700 community-dwelling older adults (aged 65–74 years, 50% men) who were randomly selected from the registry of residential addresses of three cities in Japan. Data from 1665 participants (mean age: 69.5 years, 52% men) who completed all variables for the present study were analyzed. Multivariate logistic regression analyses were used to calculate the odds ratios (ORs) of prolonged TV time (>2 hours/day) for each socio-demographic attribute, stratified by gender.

Of the 1665 participants, 810 (48.6%) watched TV for more than 2 hours/day. The median television viewing time (25th, 75th percentile) was 2.00 (1.07, 3.50) hours/day. Prolonged TV time was associated with not in full-time employment, lower educational attainment, weight status, living in regional areas and low MVPA for the whole sample. For men, prolonged TV time was associated with lower educational attainment; (OR = 1.53, 95% CI: 1.12-2.07), underweight (OR = 1.63, 95% CI: 1.02-2.60), overweight (OR = 1.57, 95% CI: 1.11-2.21), and low MVPA (OR = 1.43, 95% CI: 1.02-2.02). For women, living in regional areas (OR = 2.02, 95% CI: 1.33-3.08), living alone (OR = 1.61, 95% CI: 1.03-2.49), not driving (OR = 1.79, 95% CI 1.21-2.65), overweight (OR = 1.50, 95% CI: 1.00-2.24), and low MVPA (OR = 1.51. 95% CI: 1.05-2.17) were associated with prolonged TV time.

These findings identify particular socio-demographic and behavioral characteristics related to TV time among Japanese older adults. It should be noted that correlates of prolonged TV time differed by gender. Women in living situations with limited transportation options tended to spend prolonged time watching TV. Health promotion initiatives for older adults, particularly for older women, may be more effective if they take these attributes into account.

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Available from: Hiroyuki Kikuchi, Aug 21, 2014
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    ABSTRACT: O objetivo desse estudo foi analisar a produção de artigos sobre comportamentos sedentários em idosos. Trata-se de uma revisão sistemática a partir da base de dados Pubmed. Os descritores utilizados foram “sedentary behavior” e “sitting time” combinados com elderly, older e aging. Foram incluídos artigos originais completos disponíveis até dezembro de 2013, que apresentassem medida do comportamento sedentário. Considerou-se o tipo de inquérito e delineamento, local da coleta dos dados, instrumentos, definição operacional e ponto de corte para comportamento sedentário. Foram encontrados 559 artigos, e desses 130 foram excluídos por duplicação, resultando em 429, desses 39 atenderam os critérios de inclusão estabelecidos. Os artigos foram publicados entre 2003 a 2013. Acelerômetro e questionário foram os instrumentos mais pronunciados para medida do comportamento sedentário nos artigos analisados. Foram identificadas lacunas na produção científica em relação aos pontos de corte para definir a quantidade de tempo sentado que representa risco à saúde das pessoas idosas, definição operacional universal, bem como falta de padronização dos instrumentos. Sugerem-se mais estudos relacionados com essa temática a fim de reduzir as lacunas existentes.
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    • "They found higher sitting time in participants who where living alone (and single) (Burton et al., 2012). Likewise, a study in older Japanese women, found TV viewing time to be associated with living alone (Kikuchi et al., 2013). As a whole, the results of the present study confirm the framework suggested by (Owen et al., 2014) of a relationship between the domestic environment and sedentary behaviour in adults, and suggest that some housing characteristics may be less " sitting friendly " than others. "
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    ABSTRACT: Built environmental attributes have been studied in relation to domestic time spent sedentary. An indoor behaviour has thus been linked to an outdoor setting. Yet, attributes of the actual domestic environment may also influence the time spent sedentary at home. Therefore, the aim was to examine if housing characteristics were cross-sectionally and prospectively related to leisure-time sitting in adults. In the Danish Health2006 cohort, 2308 adults were followed for 5 years. At baseline, subjects self-reported housing characteristics (habitat type, habitat surface area and household size), moderate-to-vigorous physical activity (MVPA) and socio-demographic factors. Leisure-time sitting was self-reported at baseline and 5-year follow-up. Multiple linear regression was used to assess cross-sectional and prospective associations. At baseline habitat surface area and household size were inversely associated with leisure-time sitting (p<0.01). Living in an apartment was associated with higher leisure-time sitting compared to living in a house (p<0.01). Household size was a predictor of 5-year leisure-time sitting (p<0.01), after adjustment for confounders and the other housing characteristics. Habitat type, habitat surface area and household size were associated with leisure-time sitting in adults, while especially household size was a predictor of leisure-time sitting five years later. The findings highlight the importance of home-environmental attributes when targeting a reduction in sedentary behaviours. Copyright © 2015. Published by Elsevier Inc.
    No preview · Article · Aug 2015 · Preventive Medicine
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    • "In addition, it has to be noted that the studies reviewed employed different definitions for urban and regional areas. For instance, an Australian study used state capital cities and non-state capital cities to distinguish the two areas (Clark et al., 2010), while a Japanese study collected data from three distinct areas (Tokyo metropolitan area, metropolitan suburb, and rural town), and examined how sedentary behavior differed between them (Kikuchi et al., 2013). Further research is needed to provide insights into the definition of " urban " areas (for each country), in which residents are less likely to be sedentary. "
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    ABSTRACT: Objective: Physical activity recommendations are beginning to address sedentary behaviors – time spent sitting. Environmental and policy initiatives for physical activity might assist in addressing sedentary behaviors, but sedentary-specific innovations may be required. This review synthesizes current evidence on associations of neighborhood environmental attributes with adults’ sedentary behaviors. Methods: A search was conducted using three electronic databases (PubMed, Web of Science, and Transport Research Information Services). Relevant articles were assessed for their eligibility for inclusion (English-language articles with a quantitative examination of associations of neighborhood environmental attributes with adults’ sedentary behaviors). Results: Within 17 studies meeting inclusion criteria, associations of environmental attributes with sedentary behaviors were examined in 89 instances. Significant associations were found in 28% (n=25) of them; however, non-significant associations were found in 56% (n=50) of these instances. The most consistent association was for lower levels of sedentary behavior among residents of urban compared to regional areas. Conclusions: There is a modest but mixed initial evidence in associations of neighborhood environmental attributes with adults’ sedentary behaviors. A research agenda required for this emerging field should include the development of more-relevant conceptual models, measuring domain-specific sedentary behavior objectively, examining environments in close vicinity of and a larger area around home, and the use of prospective designs.
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