研究生: |
林其瑩 Lin, Chi-Ying |
---|---|
論文名稱: |
運用Walk Score®網站探討宜走性環境與臺灣高齡者身體活動之關聯性 Association of Walk Score® -Measured Neighborhood Walkability and Physical Activity among Older Adults in Taiwan |
指導教授: |
廖邕
Liao, Yung |
口試委員: | 張晏蓉 薛名淳 |
口試日期: | 2021/07/06 |
學位類別: |
碩士 Master |
系所名稱: |
健康促進與衛生教育學系健康促進與衛生教育碩士在職專班 Department of Health Promotion and Health Education_Continuing Education Master's Program of Health Promotion and Health Education |
論文出版年: | 2021 |
畢業學年度: | 109 |
語文別: | 中文 |
論文頁數: | 90 |
中文關鍵詞: | 高齡者 、身體活動 、宜走性環境 、Walk Score |
英文關鍵詞: | Older Adults, Physical Activity, Neighborhood Walkability, Walk Score |
研究方法: | 次級資料分析 |
DOI URL: | http://doi.org/10.6345/NTNU202100974 |
論文種類: | 學術論文 |
相關次數: | 點閱:235 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
隨著醫藥的進步及公共衛生的改善,全球高齡人口不斷攀升,高齡者的健康促進及疾病的預防成為各國重視的健康議題。而身體活動已證實為預防慢性病有效因子,因此如何增加高齡者身體活動量儼然成為公共衛生政策推動之方向。本研究針對臺灣高齡者居住區域宜走性環境與其身體活動間之關聯性進行探討,研究目的為 (1)調查研究對象社會人口學變項及身體活動之現況。 (2)瞭解研究對象社會人口學變項與身體活動之關聯性。 (3)瞭解研究對象之宜走性環境 (Walk Score分數)與身體活動之關聯性。
本研究針對臺灣地區65歲以上高齡者利用分層隨機抽樣進行電話訪問調查,主要變項包含社會人口學變項 (性別、年齡、居住地區、身體質量指數、工作狀態、教育程度),身體活動時間測量 (國際身體活動量表電訪短版問卷)及居住區域宜走性環境測量 (Walk Score分數),回收之有效樣本為1,056份,資料以IBM SPSS 23.0進行分析,統計方法包括描述性統計、卡方檢定、二元邏輯斯迴歸方法。
研究結果顯示, (1)臺灣高齡者達到身體活動建議量 (每周150分鐘(含)以上身體活動)者占總體84.1%。 (2)研究對象年齡為「75歲以上」相較於「65-74歲」較不易達到身體活動建議量 (勝算比=0.65);教育程度在「大專以上」相較於「高中職以下」較易達到身體活動建議量 (勝算比=1.90)。 (3)本研究運用二元邏輯斯迴歸分析,採用二個模型進行分析高齡者居住區域宜走性環境與身體活動之關聯性,第一個模型是未控制任何混淆因子,第二個模型為控制「年齡」及「教育程度」因子後的結果。第一個模型及第二個模型結果皆顯示,居住區域宜走性環境與達到身體活動建議量間無顯著關聯性。
本研究結果可提供政府於規劃及推動高齡者身體活動相關政策之參考,除了提升高齡者對身體活動之重視及實踐外,因本研究發現Walk Score®網站所提供的Walk Score分數與我國高齡者身體活動無統計上顯著相關,因此亦建議未來公共衛生政策執行者可運用其他宜走性環境測量工具 (如地理資訊系統)進行評估。
With the advancement of medicine and the improvement of public health, the global elderly population continues to rise, and the health promotion of the elderly and the prevention of diseases have become health issues that many countries hold in high regard. Physical activity has been proven to be an effective factor in the prevention of chronic diseases, and thus how to promote the physical activity of the elderly has become the direction of public health policy. This study aims to explore the association of Walk Score® -measured neighborhood walkability and physical activity among older adults in Taiwan. Therefore, the aims of this study are (1) to describe the prevalence of socio-demographic variables and physical activity. (2) to examine the association of the socio-demographic variables and physical activity. (3) to examine the association of the Walk Score® -measured neighborhood walkability and physical activity.
A telephone-based cross-sectional survey targeting Taiwanese older adults was conducted. Data related to socio-demographic variables (gender, age, area of residence, body mass index, work status, education level), physical activity time measured (The International Physical Activity Questionnaire Taiwan Version) and neighborhood walkability (Walk Score® website) were obtained from 1,056 older adults. Descriptive statistics, Chi-square test, adjusted binary logistic regression were performed using IBM SPSS 23.0.
The result showed that (1) The elderly in Taiwan who achieved physical activity recommendation (at least 150 minutes of physical activity throughout the week) accounted for 84.1% of the total. (2) Elderly who aged over 75 years old were less likely to achieve physical activity recommendation than aged 65-74 years old (odds ratio [OR]=0.65), and with educational level of "junior college or above" were more likely to achieve physical activity recommendation than that of "senior vocational school or below" (OR=1.9). (3) This study used adjusted binary logistic regression analysis and used two models for analyzing the association of the Walk Score® -measured neighborhood walkability and physical activity. The first model didn’t control any confounding factors, and the second model controlled "age" and "education level". Both models showed that there were no significant association of the Walk Score® -measured neighborhood walkability and physical activity recommendation.
The above-mentioned results are critical to inform government policy-makers and physical activity intervention designers for health promotion of the elderly. In addition to enhancing the importance and practice of physical activity by the elderly, this study found that the Walk Score provided by the Walk Score® website is not statistically significantly related to the physical activity of the elderly in Taiwan. Therefore, it is also recommended that future public health policy implementers could use suitable environmental measurement tools for walkability, such as the use of Geographic Information System (GIS).
中文部分:
內政部統計處 (2019)。內政部統計查詢網。取自https://statis.moi.gov.tw/micst/stmain.jsp?sys=100。
方士豪 (2019)。區域犯罪事件與臺灣高齡者身體活動及螢幕觀看時間之關聯性研究 (未出版之碩士論文)。國立臺灣師範大學,台北市。
王立亭 (2017)。臺北市高齡者身體活動與看電視對過重肥胖關係之研究 (未出版之碩士論文)。國立臺灣師範大學,台北市。
王鵲惠、聶喬齡 (2016)。做運動,解憂愁~探討身體活動對憂鬱症之影響。體育學系學刊,15,1-13。
向芷妤 (2017)。探討臺灣高齡者認知環境因素與休閒娛樂、交通步行行為之關聯性研究 (未出版之碩士論文)。國立臺灣師範大學國立臺灣師範大學,台北市。
吳一德、胡巧欣 (2010)。身體活動、代謝症候群與健康生活品質相關之探討。中華體育季刊,24(2),1-9。 doi:10.6223/qcpe.2402.201006.2001
李逸軒 (2018)。以社會生態模式探索與中高齡者身體活動量相關之個人、人際與環境因素 (未出版之碩士論文)。國立成功大學,台南市。
李蘭、晏涵文、陳富莉、陸玓玲、吳文琪、江宜珍 (2010)。健康行為與健康教育。臺北市:巨流圖書公司。
徐錦興、曹德弘 (2011)。身體活動與體重管理。運動與健康研究,1(1),1-13。doi:10.29505/JEHR.201110.0001
國家發展委員會 (2020)。中華民國人口推估(2020至2070年)。臺北市:國家發展委員會。
張依依 (2017)。台灣騎樓街區的興衰與保存芻議。人文社會學報,(17),135-165。
張家榮、林恩麒、康正男 (2016)。如何營造高齡者運動環境。運動管理,(34),40-50。
郭俐秀 (2016)。高齡者身體活動、失眠與認知功能及主觀記憶抱怨的關係探討 (未出版之碩士論文)。國立屏東大學,屏東縣。
陳怡伶 (2018)。臺灣高齡者家中飼養寵物狀態、遛狗行為與休閒身體活動之研究 (未出版之碩士論文)。國立臺灣師範大學,台北市。
陳信志 (2016)。臺灣高齡者身體活動量與健康生活品質之研究 (未出版之碩士論文)。國立臺灣師範大學,台北市。
黃茗宏、吳易鍾 (2016)。新北市騎樓整平計畫。鋪面工程,14(1),45-54。
劉影梅 (2004)。國際身體活動量表台灣中文版之發展與信效度驗證 (未出版之碩士論文)。國立臺灣大學,台北市。
衛生福利部國民健康署(2020)。107年健康促進統計年報。取自https://www.hpa.gov.tw/Pages/Detail.aspx?nodeid=268&pid=12886
賴易聖 (2017)。汽機車特性對年長者穿越道路決策行為之影響 (未出版之碩士論文)。國立交通大學,新竹市。
賴鼎富、林倩宇、黃翊軒、廖邕 (2019)。Walk Score®作為台灣地區宜走性環境測量工具之效度檢驗。台灣公共衛生雜誌,38(4),445-452。doi:10.6288/TJPH.201908_38(4).108036。
賴鼎富、廖邕、薛名淳、林倩宇 (2018)。Walk Score^®之相關文獻回顧:身體活動、步行行為及慢性疾病風險。台灣公共衛生雜誌,37(4),375-393。doi:10.6288/TJPH.201808_37(4).107023。
戴遐齡 (2015)。中華民國104年運動城市調查。教育部體育署委託調查報告。臺北市:教育部體育署。
顏兆熊 (2017)。體能活動與健康效益之劑量:反應相關性。臨床醫學月刊,79(1),49-56。doi:10.6666/ClinMed.2017.79.1.009。
譚伊妤 (2017)。老年人運動行為與醫療資源利用、身心健康狀況關聯性之探討-以NHANES為例 (未出版之碩士論文)。高雄醫學大學,高雄市。
英文部分:
Abley, S., & Turner, S. (2011). Predicting walkability. Wellington, New Zealand: NZ Transport Agency.
Ainsworth, B. E., Haskell, W. L., Whitt, M. C., Irwin, M. L., Swartz, A. M., Strath, S. J., ... & Leon, A. S. (2000). Compendium of physical activities: an update of activity codes and MET intensities. Medicine Science in Sports Exercise, 32(9), S498-S516.
Bherer, L., Erickson, K. I., & Liu-Ambrose, T. (2013). A Review of the Effects of Physical Activity and Exercise on Cognitive and Brain Functions in Older Adults. Journal of Aging Research, 2013. doi:10.1155/2013/657508
Biernat, E., & Tomaszewski, P. (2011). Socio-demographic and leisure activity determinants of physical activity of working Warsaw residents aged 60 to 69 years. Journal of human kinetics, 30, 173.
Blondell, S. J., Hammersley-Mather, R., & Veerman, J. L. (2014). Does physical activity prevent cognitive decline and dementia?: A systematic review and meta-analysis of longitudinal studies. BMC public health, 14(1), 510. doi:10.1186/1471-2458-14-510
Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Cambridge, Massachusetts, and London, England: Harvard university press.
Brown, S. C., Pantin, H., Lombard, J., Toro, M., Huang, S., Plater-Zyberk, E., ... Szapocznik, J. (2013). Walk Score®: Associations with Purposive Walking in Recent Cuban Immigrants. American journal of preventive medicine, 45(2), 202-206. doi:10.1016/j.amepre.2013.03.021
Brownson, R. C., Hoehner, C. M., Day, K., Forsyth, A., & Sallis, J. F. (2009). Measuring the Built Environment for Physical Activity: State of the Science. American journal of preventive medicine, 36(4), S99-S123.e112. doi:10.1016/j.amepre.2009.01.005
Cambra, P. (2012). Pedestrian accessibility and attractiveness indicators for walkability assessment (Department of Civil Engineering Architecture, Instituto Superior Técnico, Universidade Técnica de Lisboa, Lisbon). Retrieved from https://www.semanticscholar.org/paper/Pedestrian-Accessibility-and-Attractiveness-for-Cambra-Ordenamento/ee089f66f347e662905d92ef1bbe16d7d74a9aa1#citing-papers
Cao, X., Mokhtarian, P. L., & Handy, S. L. (2007). Do changes in neighborhood characteristics lead to changes in travel behavior? A structural equations modeling approach. Transportation, 34(5), 535-556. doi:10.1007/s11116-007-9132-x
Carlson, J. A., Sallis, J. F., Conway, T. L., Saelens, B. E., Frank, L. D., Kerr, J., ... & King, A. C. (2012). Interactions between psychosocial and built environment factors in explaining older adults' physical activity. Preventive medicine, 54(1), 68-73.
Carr, L. J., Dunsiger, S. I., & Marcus, B. H. (2010). Walk Score™ As a Global Estimate of Neighborhood Walkability. American journal of preventive medicine, 39(5), 460-463. doi:10.1016/j.amepre.2010.07.007
Carr, L. J., Dunsiger, S. I., & Marcus, B. H. (2011). Validation of Walk Score for estimating access to walkable amenities. British journal of sports medicine, 45(14), 1144-1148.
Caspersen, C. J., Powell, K. E., & Christenson, G. M. (1985). Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public health report, 100(2), 126-131.
Cerin, E., & Leslie, E. (2008). How socio-economic status contributes to participation in leisure-time physical activity. Social science & medicine, 66(12), 2596-2609.
Cerin, E., Lee, K. Y., Barnett, A., Sit, C. H., Cheung, M. C., Chan, W. M., & Johnston, J. M. (2013). Walking for transportation in Hong Kong Chinese urban elders: a cross-sectional study on what destinations matter and when. International journal of behavioral nutrition and physical activity, 10(1), 78.
Choi, J., Lee, M., Lee, J.-k., Kang, D., & Choi, J.-Y. (2017). Correlates associated with participation in physical activity among adults: a systematic review of reviews and update. BMC public health, 17(1), 356.
Chudyk, A. M., McKay, H. A., Winters, M., Sims-Gould, J., & Ashe, M. C. (2017). Neighborhood walkability, physical activity, and walking for transportation: A cross-sectional study of older adults living on low income. BMC geriatrics, 17(1), 82.
Chudyk, A. M., Winters, M., Moniruzzaman, M., Ashe, M. C., Gould, J. S., & McKay, H. (2015). Destinations matter: The association between where older adults live and their travel behavior. Journal of Transport and Health, 2(1), 50-57.
Cole, R., Dunn, P., Hunter, I., Owen, N., & Sugiyama, T. (2015). Walk Score and Australian adults' home-based walking for transport. Health & Place, 35, 60-65. doi:10.1016/j.healthplace.2015.06.011
De Mello, M. T., de Aquino Lemos, V., Antunes, H. K. M., Bittencourt, L., Santos-Silva, R., & Tufik, S. (2013). Relationship between physical activity and depression and anxiety symptoms: A population study. Journal of Affective Disorders, 149(1-3), 241-246. doi:10.1016/j.jad.2013.01.035
Dinas, P. C., Koutedakis, Y., & Flouris, A. (2011). Effects of exercise and physical activity on depression. Irish journal of medical science, 180(2), 319-325.
Ding, D., Lawson, K. D., Kolbe-Alexander, T. L., Finkelstein, E. A., Katzmarzyk, P. T., Van Mechelen, W., ... & Lancet Physical Activity Series 2 Executive Committee. (2016). The economic burden of physical inactivity: a global analysis of major non-communicable diseases. The Lancet, 388(10051), 1311-1324.
Duncan, D. T. (2013). What’s your Walk Score®?: Web-based neighborhood walkability assessment for health promotion and disease prevention. American journal of preventive medicine, 45(2), 244-245.
Duncan, D. T., Aldstadt, J., Whalen, J., & Melly, S. J. (2013). Validation of Walk Scores and Transit Scores for estimating neighborhood walkability and transit availability: a small-area analysis. GeoJournal, 78(2), 407-416.
Duncan, D. T., Méline, J., Kestens, Y., Day, K., Elbel, B., Trasande, L., & Chaix, B. (2016). Walk score, transportation mode choice, and walking among French adults: a GPS, accelerometer, and mobility survey study. International journal of environmental research and public health, 13(6), 611.
Forsyth, A. (2015). What is a walkable place? The walkability debate in urban design. Urban design international, 20(4), 274-292.
Forsyth, A., & Southworth, M. (2008). Cities afoot—Pedestrians, walkability and urban. Journal of Urban Design, 13(1), 1-3. doi:10.1080/13574800701816896
Gell, N. M., Rosenberg, D. E., Carlson, J., Kerr, J., & Belza, B. (2015). Built environment attributes related to GPS measured active trips in mid-life and older adults with mobility disabilities. Disability health journal, 8(2), 290-295.
Giles-Corti, B., Timperio, A., Bull, F., & Pikora, T. (2005). Understanding Physical Activity Environmental Correlates: Increased Specificity for Ecological Models. Exercise and Sport Sciences Reviews, 33(4), 175-181.
Godfrey, A., Lord, S., Galna, B., Mathers, J. C., Burn, D. J., & Rochester, L. (2014). The association between retirement and age on physical activity in older adults. Age ageing, 43(3), 386-393.
Gothe, N. P. (2018). Correlates of physical activity in urban African American adults and older adults: Testing the Social Cognitive Theory. Annals of Behavioral Medicine, 52(9), 743-751.
Gustaw, T., Schoo, E., Barbalinardo, C., Rodrigues, N., Zameni, Y., Motta, V. N., ... & Janaudis‐Ferreira, T. (2017). Physical activity in solid organ transplant recipients: participation, predictors, barriers, and facilitators. Clinical transplantation, 31(4), e12929.
Handy, S. L., Boarnet, M. G., Ewing, R., & Killingsworth, R. E. (2002). How the built environment affects physical activity: views from urban planning. American journal of preventive medicine, 23(2), 64-73.
Haskell, W. L., Blair, S. N., & Hill, J. O. (2009). Physical activity: health outcomes and importance for public health policy. Preventive Medicine, 49(4), 280-282.
Hirsch, J. A., Moore, K. A., Evenson, K. R., Rodriguez, D. A., & Roux, A. V. D. (2013). Walk Score® and Transit Score® and Walking in the Multi-Ethnic Study of Atherosclerosis. American journal of preventive medicine, 45(2), 158-166. doi:10.1016/j.amepre.2013.03.018
Inoue, S., Ohya, Y., Odagiri, Y., Takamiya, T., Kamada, M., Okada, S., ... & Shimomitsu, T. (2011). Perceived Neighborhood Environment and Walking for Specific Purposes Among Elderly Japanese. Journal of Epidemiology, advpub, 1110120263-1110120263. doi:10.2188/jea.JE20110044
Kanavaki, A. M., Rushton, A., Efstathiou, N., Alrushud, A., Klocke, R., Abhishek, A., & Duda, J. L. (2017). Barriers and facilitators of physical activity in knee and hip osteoarthritis: a systematic review of qualitative evidence. BMJ open, 7(12), e017042.
Kirk-Sanchez, N. J., & McGough, E. L. (2014). Physical exercise and cognitive performance in the elderly: current perspectives. Clinical interventions in aging, 9, 51-62. doi:10.2147/CIA.S39506
Koohsari, M. J., Kaczynski, A. T., Nakaya, T., Shibata, A., Ishii, K., Yasunaga, A., …Oka, K. (2019). Walkable urban design attributes and japanese older adults’ body mass index: mediation effects of physical activity and sedentary behavior. American Journal of Health Promotion, 33(5), 764-767.
Koohsari, M. J., Sugiyama, T., Hanibuchi, T., Shibata, A., Ishii, K., Liao, Y., & Oka, K. (2018). Validity of Walk Score® as a measure of neighborhood walkability in Japan. Preventive Medicine Reports, 9, 114-117. doi:10.1016/j.pmedr.2018.01.001
Koohsari, M. J., Sugiyama, T., Shibata, A., Ishii, K., Hanibuchi, T., Liao, Y., ... Oka, K. (2018). Walk Score® and Japanese adults' physically-active and sedentary behaviors. Cities, 74, 151-155. doi:10.1016/j.cities.2017.11.016
Lee, I. M., Shiroma, E. J., Lobelo, F., Puska, P., Blair, S. N., & Katzmarzyk, P. T. (2012). Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. The Lancet, 380(9838), 219-229. doi:10.1016/S0140-6736(12)61031-9
Leslie, E., Cerin, E., Owen, N., & Bauman, A. (2007). Objectively assessing’walkability’of local communities: using GIS to identify the relevant environmental attributes. In Lai P.C. & Mak A.S.H. (Eds.), GIS for Health and the Environment (pp. 90-104). New York, NY: Springer.
Liao, Y., Lin, C. Y., Lai, T. F., Chen, Y. J., Kim, B., & Park, J. H. (2019). Walk score® and its associations with older adults’ health behaviors and outcomes. International journal of environmental research and public health, 16(4), 622.
Lo, R. H. (2009). Walkability: what is it? Journal of Urbanism, 2(2), 145-166.
Loprinzi, P. D. (2013). Objectively measured light and moderate-to-vigorous physical activity is associated with lower depression levels among older US adults. Aging & mental health, 17(7), 801-805.
Mazumdar, S., Learnihan, V., Cochrane, T., Phung, H., O'Connor, B., & Davey, R. (2016). Is Walk Score associated with hospital admissions from chronic diseases? Evidence from a cross-sectional study in a high socioeconomic status Australian city-state. BMJ Open, 6(12), e012548. doi:10.1136/bmjopen-2016-012548
McPhee, J. S., French, D. P., Jackson, D., Nazroo, J., Pendleton, N., & Degens, H. (2016). Physical activity in older age: perspectives for healthy ageing and frailty. Biogerontology, 17(3), 567-580.
Mesters, I., Wahl, S., & Van Keulen, H. M. (2014). Socio-demographic, medical and social-cognitive correlates of physical activity behavior among older adults (45–70 years): a cross-sectional study. BMC public health, 14(1), 647.
Moschny, A., Platen, P., Klaaßen-Mielke, R., Trampisch, U., & Hinrichs, T. (2011). Barriers to physical activity in older adults in Germany: a cross-sectional study. International journal of behavioral nutrition physical activity, 8(1), 121.
Nykiforuk, C.I.J., McGetrick, J. A., Crick, K., & Johnson, J. A. (2016). Check the score: Field validation of Street Smart Walk Score in Alberta, Canada. Preventive Medicine Reports, 4, 532-539.
Pate, R. R., Pratt, M., Blair, S. N., Haskell, W. L., Macera, C. A., Bouchard, C., ... King, A. C. (1995). Physical activity and public health: a recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. Jama, 273(5), 402-407.
Rantakokko, M., Mänty, M., Iwarsson, S., Törmäkangas, T., Leinonen, R., Heikkinen, E., & Rantanen, T. (2009). Fear of moving outdoors and development of outdoor walking difficulty in older people. Journal of the American Geriatrics Society, 57(4), 634-640.
Ravaglia, G., Forti, P., Lucicesare, A., Pisacane, N., Rietti, E., Bianchin, M., & Dalmonte, E. (2008). Physical activity and dementia risk in the elderly: findings from a prospective Italian study. Neurology, 70(19 Part 2), 1786-1794.
Rhodes, R. E., Janssen, I., Bredin, S. S., Warburton, D. E., & Bauman, A. (2017). Physical activity: Health impact, prevalence, correlates and interventions. Psychology & Health, 32(8), 942-975.
Sallis, J. F., Bowles, H. R., Bauman, A., Ainsworth, B. E., Bull, F. C., Craig, C. L., ... Bergman, P. (2009). Neighborhood Environments and Physical Activity Among Adults in 11 Countries. American journal of preventive medicine, 36(6), 484-490. doi:10.1016/j.amepre.2009.01.031
Sallis, J. F., Cervero, R. B., Ascher, W., Henderson, K. A., Kraft, M. K., & Kerr, J. (2006). An ecological approach to creating active living communities. Annual review of public health, 27, 297-322.
Sallis, J. F., Owen, N., & Fisher, E. (2015). Ecological models of health behavior. In Glanz, K., Rimer, B. K., & Viswanath, K. (Eds.), Health behavior: Theory, research,practice, 5(pp. 43-64). New York, NY: John Wiley & Sons.
Schutzer, K. A., & Graves, B. S. (2004). Barriers and motivations to exercise in older adults. Preventive Medicine, 39(5), 1056-1061.
Shook, R. P., Hand, G. A., Drenowatz, C., Hebert, J. R., Paluch, A. E., Blundell, J. E., ... Blair, S. N. (2015). Low levels of physical activity are associated with dysregulation of energy intake and fat mass gain over 1 year. The American journal of clinical nutrition, 102(6), 1332-1338. doi:10.3945/ajcn.115.115360
Soares-Miranda, L., Siscovick, D. S., Psaty, B. M., Longstreth, W. T., & Mozaffarian, D. (2016). Physical Activity and Risk of Coronary Heart Disease and Stroke in Older Adults. Circulation, 133(2), 147-155. doi:10.1161/CIRCULATIONAHA.115.018323
Sriram, U., LaCroix, A. Z., Barrington, W. E., Corbie-Smith, G., Garcia, L., Going, S. B., ... & Seguin, R. A. (2016). Neighborhood walkability and adiposity in the women’s health initiative cohort. American journal of preventive medicine, 51(5), 722-730.
Strawbridge, W. J., Deleger, S., Roberts, R. E., & Kaplan, G. A. (2002). Physical Activity Reduces the Risk of Subsequent Depression for Older Adults. American Journal of Epidemiology, 156(4), 328-334. doi:10.1093/aje/kwf047
Sun, F., Norman, I. J., & While, A. E. (2013). Physical activity in older people: a systematic review. BMC public health, 13, 449. doi:10.1186/1471-2458-13-449
Thøgersen‐Ntoumani, C. (2009). An ecological model of predictors of stages of change for physical activity in Greek older adults. Scandinavian journal of medicine science in sports, 19(2), 286-296.
Topinková, E. (2008). Aging, disability and frailty. Annals of Nutrition and Metabolism, 52(Suppl. 1), 6-11.
United Nations, Department of Economic and Social Affairs, Population Division. (2019). World Population Prospects 2019: Highlights. New York, NY: United Nations.
Van Cauwenberg, J., Van Holle, V., De Bourdeaudhuij, I., Van Dyck, D., & Deforche, B. (2016). Neighborhood walkability and health outcomes among older adults: The mediating role of physical activity. Health & Place, 37, 16-25. doi:10.1016/j.healthplace.2015.11.003
Warburton, D. E., & Bredin, S. S. (2016). Reflections on Physical Activity and Health: What Should We Recommend? Canadian Journal of Cardiology, 32(4), 495-504. doi:10.1016/j.cjca.2016.01.024
Warburton, D. E., Charlesworth, S., Ivey, A., Nettlefold, L., & Bredin, S. S. (2010). A systematic review of the evidence for Canada's Physical Activity Guidelines for Adults. International Journal of Behavioral Nutrition and Physical Activity, 7(1), 39. doi:10.1186/1479-5868-7-39
Warburton, D. E., Katzmarzyk, P. T., Rhodes, R. E., & Shephard, R. J. (2007). Evidence-based guidelines for physical activity of adult Canadians. Appl Physiol Nutr Metab, 32 Suppl 2F, S17-74. doi:10.1139/h07-168
Winters, M., Barnes, R., Venners, S., Ste-Marie, N., McKay, H., Sims-Gould, J., & Ashe, M. C. (2015). Older adults’ outdoor walking and the built environment: does income matter? BMC public health, 15(1), 876.
Winters, M., Voss, C., Ashe, M. C., Gutteridge, K., McKay, H., & Sims-Gould, J. (2015). Where do they go and how do they get there? Older adults' travel behaviour in a highly walkable environment. Social science medicine, 133, 304-312.
World Health Organization. (2010a). Global recommendations on physical activity for health. Geneva, Switzerland: World Health Organization.
World Health Organization. (2010b). Set of recommendations on the marketing of foods and non-alcoholic beverages to children. Geneva, Switzerland: World Health Organization.
World Health Organization. (2018). Global action plan on physical activity 2018-2030: more active people for a healthier world. Geneva, Switzerland: World Health Organization.
Zhang, J., Tan, P. Y., Zeng, H., & Zhang, Y. (2019). Walkability assessment in a rapidly urbanizing city and its relationship with residential estate value. Sustainability, 11(8), 2205.