Linking Evidence to Health Policy for the Ageing: A Social Health Atlas of Older Adults in a Major Japanese City Megumi Kano,1 Jimpei Misawa,2 Kayo Suzuki,3 Masataka Nakagawa,3 Katsunori Kondo3 1WHO Centre for Health Development, Kobe, Japan; 2Rikkyo University, Tokyo, Japan; 3 Center for Well-being and Society, Nihon Fukushi University, Nagoya, Japan 1| IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic Japan’s achievements in longevity Life expectancy at birth – 86 yrs for women, 80 yrs for men Healthy life expectancy at age 60 – 21.7 yrs for women, 17.5 yrs for men Key contributing factors: – Health system and health services – Social and physical environment – Health behaviour – Genetics 2| IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic The demographics of ageing in Japan 3| IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic RAPID ageing 4| IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic Key Challenges Ageing of the urban population Dwindling resource base Growing income inequalities health inequalities? “Ageing in Place” Lack of data to enable evidence-based policy and practice, especially at the local government level 5| IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic Project Objectives To establish a mechanism for integrating research into policy and programme development to promote elderly health and wellbeing in a major metropolitan area of Japan To build the epidemiological evidence base on the broader determinants of health and wellbeing among elderly residents in rapidly ageing urban areas To empower local stakeholders to create healthy conditions in which people live, work, and age 6| IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic Main Project Partners City of Kobe: Public Health and Welfare Bureau, Health Division, Long Term Care Insurance Unit (Kobe, Japan) Centre for Well-being and Society, Nihon Fukushi University (Nagoya, Japan) and the JAGES Research Group WHO Centre for Health Development (Kobe, Japan) Common interests in urban health, health equity assessment, social determinants of health, and evidence-based policy/programme development 7| IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic Japan Gerontological Evaluation Study (JAGES) One of the few population-based social epidemiological gerontological surveys in Japan Conducted in 1999, 2003/4, 2006/7, 2010/11 2010/11 included 112,123 individuals across 31 municipalities in 12 prefectures Kobe City was among the first few major metropolitan areas to join this study in 2010/11 8| IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic Survey Items Health status indicators: self-rated health, chronic conditions, health behavior, oral health, nutrition/diet, tobacco, alcohol, ADL/IADL, etc Psychological indicators: depression, subjective well-being, etc Social indicators: social support, social capital, social participation Socioeconomic status indicators: income, education, relative deprivation, pension, etc Environmental indicators: road safety, parks and recreation, accessibility, etc 9| IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic JAGES Survey: Kobe Kobe City has the sixth largest population in Japan and a significant proportion of elderly residents (20% in 2005) It is a “government-decreed city” Representative sample of 15,000 independent, communitydwelling elderly residents aged 65 years or older – 9,873 responses (66% response rate) – 9,328 valid responses Self-administered mail survey conducted between December 2011 and February 2012 10 | IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic Kobe sample characteristics Age (years) 65-74 75-84 85-94 95-99 56.3% 37.7% 5.8% 0.2% Sex Male 45.2% Female 54.8% Equivalent household income group Low (<2 million JPY) 43.6% Middle (2-4 million JPY) 33.9% High (>4 million JPY) 8.4% Household composition Lone elderly 23.3% Elderly couple 44.8% Other 31.9% 11 | IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic Proportion reporting "very good" or "somewhat good" health 70% 12 60% | 67.6% 75% 65% IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic Mean 85% Kobe 83.5% 87.2% 90% 82.8% 82.7% 82.1% 81.4% 80.8% 80.5% 80.3% 80.2% 79.7% 79.5% 79.4% 78.8% 78.2% 78.2% 78.2% 78.0% 78.0% 77.9% 77.6% 77.2% 77.1% 76.7% 76.1% 75.9% 75.2% 74.0% 72.8% 80% 79.2% Self-rated health: “Very/Somewhat good” Nagoya Gini coefficient 0.3 0.2 0.1 0.0 13 | IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic 0.342 0.349 0.352 0.356 0.356 0.363 0.365 0.359 0.329 Gini coefficient for total population = 0.329 0.375 0.375 0.381 0.383 0.385 0.398 0.398 0.401 0.405 0.405 0.405 0.409 0.411 0.415 0.417 0.418 0.421 Kobe 0.388 0.4 0.394 0.438 0.5 0.422 0.476 Income inequality 40% 14 | 38.7% 60% 53.3% 50.8% 70% 80% 50% 30% 20% IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic 90% 85.2% 85.1% 100% 82.5% 81.7% 81.2% 79.8% 79.7% 78.4% 78.3% 77.9% 75.3% 72.7% 72.6% 71.9% 71.1% 69.3% 69.1% 68.4% 67.9% 67.4% 66.8% 66.6% 65.6% 65.5% 64.1% 63.6% 63.6% 71.9% There are parks and pedestrian paths good for walking and exercising Physical environment: Parks and pedestrian paths Kobe 40% 15 | Kobe 30% 20% 10% 0% IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic 60% 62.3% 58.5% 56.8% 55.5% 55.3% 51.2% 51.0% 50.0% 49.3% 48.5% 46.9% 46.8% 46.4% 45.5% 45.2% 43.4% 43.2% 42.2% 42.0% 41.8% 40.7% 40.6% 40.6% 39.6% 39.0% 37.7% 37.4% 50% 36.9% 36.6% 35.6% 42.9% There are homes or facilities where I can casually drop in Social-physical environment: Places to visit for a casual drop in 70% 70% 16 | Kobe 60% 50% 40% IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic 78.9% 78.8% 78.6% 78.4% 78.2% 77.5% 76.1% 76.1% 75.5% 74.6% 73.8% 73.7% 73.4% 73.3% 72.5% 72.2% 72.2% 72.1% 71.9% 71.7% 71.1% 70.9% 69.3% 69.0% 68.0% 67.9% 67.7% 80% 67.4% 72.4% Perception that people in the community can be trusted (%) 90% 88.3% Social capital: Trust in the community 100% Determinants of health *Ages 65-74 only Multilevel analysis at the submunicipality level Ecological analysis at the municipality level Prevalence of low BMI < Prevalence of social isolation 80% 閉 60% じ こ も り 40% 者 の 割 合 20% . 18 5 r =.568 0% 0% 17 | in the community IFATrust 11th Global Conference on Ageing | 28 May – 1 June, 2012 Coefficient of correlation=-.539 20% 40% 60% Sense of decline in community activities and この3年間で地域住民の活動や交流が衰退したと感じた人の割合 in past 3 years Prague, Czechrelationships Republic Coefficient of correlation=.568 Small-area data mapping Has not received health check-up in the past year (%) 18 | Goes out less than once a week (%) Geriatric Depression Scale score (*Only among >=75) IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic Had a fall in the past year (%) Interactive data mapping http://www.doctoral.sakura.ne.jp/WebAtlas/Kihonchecklist/Single/kinki/atlas.html 19 | IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic Conclusions Older adults in large urban areas may feel healthier and benefit from better infrastructure and economy, but may experience poorer social well-being compared to smaller, more rural municipalities Multilevel analysis confirmed some of the correlations between neighbourhood-level social factors and health indicators Systematic collection, mapping, and analysis of social and health data by small geographic units are crucial to develop policies and programmes that are responsive to the geographically non-uniform needs of the local elderly population Technological innovations have made interactive data mapping a feasible and effective tool for both researchers and policy-makers 20 | IFA 11th Global Conference on Ageing | 28 May – 1 June, 2012 Prague, Czech Republic
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