Dataset Information

Time's up. descriptive epidemiology of multi-morbidity and time spent on health related activity by older Australians: a time use survey.

ABSTRACT: Most Western health systems remain single illness orientated despite the growing prevalence of multi-morbidity. Identifying how much time people with multiple chronic conditions spend managing their health will help policy makers and health service providers make decisions about areas of patient need for support. This article presents findings from an Australian study concerning the time spent on health related activity by older adults (aged 50 years and over), most of whom had multiple chronic conditions. A recall questionnaire was developed, piloted, and adjusted. Sampling was undertaken through three bodies; the Lung Foundation Australia (COPD sub-sample), National Diabetes Services Scheme (Diabetes sub-sample) and National Seniors Australia (Seniors sub-sample). Questionnaires were mailed out during 2011 to 10,600 older adults living in Australia. 2540 survey responses were received and analysed. Descriptive analyses were completed to obtain median values for the hours spent on each activity per month. The mean number of chronic conditions was 3.7 in the COPD sub-sample, 3.4 in the Diabetes sub-sample and 2.0 in the NSA sub-sample. The study identified a clear trend of increased time use associated with increased number of chronic conditions. Median monthly time use was 5-16 hours per month overall for our three sub-samples. For respondents in the top decile with five or more chronic conditions the median time use was equivalent to two to three hours per day, and if exercise is included in the calculations, respondents spent from between five and eight hours per day: an amount similar to full-time work. Multi-morbidity imposes considerable time burdens on patients. Ageing is associated with increasing rates of multi-morbidity. Many older adults are facing high demands on their time to manage their health in the face of decreasing energy and mobility. Their time use must be considered in health service delivery and health system reform.

SUBMITTER: Jowsey T

PROVIDER: S-EPMC3613388 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Time's up. descriptive epidemiology of multi-morbidity and time spent on health related activity by older Australians: a time use survey.

Jowsey Tanisha T McRae Ian S IS Valderas Jose M JM Dugdale Paul P Phillips Rebecca R Bunton Robin R Gillespie James J Banfield Michelle M Jones Lesley L Kljakovic Marjan M Yen Laurann L

PloS one 20130401 4

Most Western health systems remain single illness orientated despite the growing prevalence of multi-morbidity. Identifying how much time people with multiple chronic conditions spend managing their health will help policy makers and health service providers make decisions about areas of patient need for support. This article presents findings from an Australian study concerning the time spent on health related activity by older adults (aged 50 years and over), most of whom had multiple chronic ...[more]

PMID: 23560046

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Project description:BACKGROUND: Foot problems are common in older people and are associated with impaired mobility and quality of life. However, the characteristics of foot problems in older Australians for whom English is a second language have not been evaluated. METHODS: One hundred and four community-dwelling people aged 64 to 90 years with disabling foot pain (according to the case definition of the Manchester Foot Pain and Disability Index, or MFPDI) were recruited from four Greek elderly citizens clubs in Melbourne, Australia. All participants completed a Greek language questionnaire consisting of general medical history, the Medical Outcomes Study Short-Form 36 (SF-36) questionnaire, the MFPDI, and specific questions relating to foot problems and podiatry service utilisation. In addition, all participants underwent a brief clinical foot assessment. RESULTS: The MFPDI score ranged from 1 to 30 (median 14), out of a total possible score of 34. Women had significantly higher total MFPDI scores and MFPDI subscale scores. The MFPDI total score and subscale scores were significantly associated with most of the SF-36 subscale scores. The most commonly reported foot problem was difficulty finding comfortable shoes (38%), and the most commonly observed foot problem was the presence of hyperkeratotic lesions (29%). Only 13% of participants were currently receiving podiatry treatment, and 40% stated that they required more help looking after their feet. Those who reported difficulty finding comfortable shoes were more likely to be female, and those who required more help looking after their feet were more likely to be living alone and have osteoarthritis in their knees or back. CONCLUSIONS: Foot problems appear to be common in older Greek Australians, have a greater impact on women, and are associated with reduced health-related quality of life. These findings are broadly similar to previous studies in English-speaking older people in Australia. However, only a small proportion of this sample was currently receiving podiatry treatment, and a substantial number stated that they required more help looking after their feet. To address this issue, steps need to be taken to increase awareness of podiatry services among older Greek Australians.

Project description:BackgroundLittle is known regarding the patterning and socio-demographic distribution of multiple sedentary behaviours in children. The aims of this study were to: 1) describe the leisure-time sedentary behaviour of 9-10 year old British children, and 2) establish associations with objectively-measured sedentary time.MethodsCross-sectional analysis in the SPEEDY study (Sport, Physical activity and Eating behaviour: Environmental Determinants in Young people) (N=1513, 44.3% boys). Twelve leisure-time sedentary behaviours were assessed by questionnaire. Objectively-measured leisure-time sedentary time (Actigraph GT1M, <100 counts/minute) was assessed over 7 days. Differences by sex and socioeconomic status (SES) in self-reported sedentary behaviours were tested using Kruskal-Wallis tests. The association between objectively-measured sedentary time and the separate sedentary behaviours (continuous (minutes) and categorised into 'none' 'low' or 'high' participation) was assessed using multi-level linear regression.ResultsSex differences were observed for time spent in most sedentary behaviours (all p ≤ 0.02), except computer use. Girls spent more time in combined non-screen sedentary behaviour (median, interquartile range: girls: 770.0 minutes, 390.0-1230.0; boys: 725.0, 365.0 - 1182.5; p = 0.003), whereas boys spent more time in screen-based behaviours (girls: 540.0, 273.0 - 1050.0; boys: 885.0, 502.5 - 1665.0; p < 0.001). Time spent in five non-screen behaviours differed by SES, with higher values in those of higher SES (all p ≤ 0.001). Regression analyses with continuous exposures indicated that reading (β = 0.1, p < 0.001) and watching television (β = 0.04, p < 0.01) were positively associated with objectively-measured sedentary time, whilst playing board games (β = -0.12, p < 0.05) was negatively associated. Analysed in categorical form, sitting and talking (vs. none: 'low' β = 26.1,ns; 'high' 30.9, p < 0.05), playing video games (vs. none: 'low' β = 49.1, p < 0.01; 'high' 60.2, p < 0.01) and watching television (vs. lowest tertile: middle β = 22.2,ns; highest β = 31.9, p < 0.05) were positively associated with objectively-measured sedentary time whereas talking on the phone (vs. none: 'low' β = -38.5, p < 0.01; 'high' -60.2, p < 0.01) and using a computer/internet (vs. none: 'low' β = -30.7, p < 0.05; 'high' -4.2,ns) were negatively associated.ConclusionsBoys and girls and children of different socioeconomic backgrounds engage in different leisure-time sedentary behaviours. Whilst a number of behaviours may be predictive of total sedentary time, collectively they explain little overall variance. Future studies should consider a wide range of sedentary behaviours and incorporate objective measures to quantify sedentary time where possible.

Dataset Information

Time's up. descriptive epidemiology of multi-morbidity and time spent on health related activity by older Australians: a time use survey.

Publications

Time's up. descriptive epidemiology of multi-morbidity and time spent on health related activity by older Australians: a time use survey.

Similar Datasets

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