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研究生: 鍾佳妤
Chung, Chia-Yu
論文名稱: 高齡者鄰里環境宜走性與靜態行為之關聯性研究
Association between Neighborhood Walkability and Sedentary Behavior among Taiwan Older Adults
指導教授: 廖邕
Liao, Yung
口試委員: 陳伯儀
Chen, Bo-I
薛名淳
Hsueh, Ming-Chun
口試日期: 2021/05/10
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: 88
中文關鍵詞: Walk Score®高齡者鄰里環境宜走性靜態行為
英文關鍵詞: Walk Score®, Older Adult, Neighborhood Walkability, Sedentary Behavior
DOI URL: http://doi.org/10.6345/NTNU202100587
論文種類: 學術論文
相關次數: 點閱:171下載:21
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  • 「靜態行為」已成為影響高齡者健康的危害因子,而鄰里環境宜走性被認為是導致高齡者靜態行為的因素之一,對於臺灣高齡者靜態行為現況、鄰里環境與靜態行為之關聯性探討有其必要性。本研究擬定之研究目的為 (1) 調查臺灣高齡者靜態行為之現況、 (2) 瞭解臺灣高齡者社會人口學變項與靜態行為之關聯性、 (3) 瞭解臺灣高齡者鄰里環境宜走性與靜態行為之關聯性。
    本研究針對臺灣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、婚姻狀態、教育程度、都市化程度、居住地區) 、靜態行為時間測量 (國際身體活動量調查短版問卷IPAQ-SV) 、客觀鄰里環境宜走性評估 (Walk Score®網站) ,回收有效樣本為1,056位高齡者,資料使用IBM SPSS 23.0進行分析,統計方法包括描述性統計、卡方檢定、二元邏輯斯迴歸分析。
    研究結果發現臺灣高齡者每日靜態行為時間為272.2分鐘,以年齡75歲 (含) 以上、已婚男性、高教育程度、居住於六都與東部及外島地區者有較多的靜態行為時間,分別使用卡方檢定與二元邏輯斯迴歸分析顯示臺灣高齡者社會人口學變項 (性別、年齡、婚姻、教育程度、都市化程度、居住地區) 與靜態行為皆無統計上的相關性,將研究樣本進一步區分為年齡65至74歲及75歲 (含) 以上兩組,採用二元邏輯斯迴歸分析發現臺灣居住於「非常適合步行」地區65至74歲的高齡者較不容易每日靜態行為時間大於7小時;而居住於「非常適合步行」及「部分適合步行」地區75歲 (含) 以上的高齡者較容易每日靜態行為時間大於7小時。因此,環境的便利性為65至74歲的族群為減少靜態行為的影響因子;在75歲 (含) 以上的高齡者因環境便利性而更容易有較長的靜態行為時間。
    本研究之結果可提供公部門規劃及減少高齡者靜態行為相關政策之參考,以達高齡者健康促進之目的。建議未來研究可進一步探討高齡者靜態行為類型,並且關注鄰里環境宜走性居住於「非常適合步行」地區的75歲 (含) 以上高齡者靜態行為問題。

    “Sedentary behavior” has become a hazard factor that affects older adults’ health. Studies indicate that neighborhood walkability is one of key factors associated with sedentary behavior in older adult population. Therefore, it is necessary to the relationship between neighborhood walkability and sedentary behavior among older Taiwanese adults. This study aimed to investigate (1) time spent of sedentary behavior, (2) relationship between socio-demographic factors and sedentary behavior, and (3) association between neighborhood walkability and sedentary behavior in the population of older Taiwanese adults.
    A cross-sectional using telephone interview targeting Taiwanese older adults was employed in this research. The main variables include socio-demographic variables (such as gender, age, marital status, education level, degree of urbanization, and residential area), time spent in sedentary behavior (International Physical Activity Questionnaire – short version), and Walk Score®-assessed neighborhood walkability. A total of 1,056 participants were included. Descriptive statistics, Chi-square test, and adjusted binary logistic regression were performed using IBM SPSS 23.0.
    Our results indicated that average time spent in sedentary behavior in our sample was 272.2 minutes daily. Moreover, older adults who were aged 75 years old and above, married, well-educated, living in Eastern Taiwan (including outer islands) engaged in higher sedentary time. Chi-square test and binary logistic regression analysis showed that there was no statistical associations between socio-demographic variables and sedentary behavior of the older adults in Taiwan.
    By stratifying our sample into age groups, binary logistic regression analysis showed that older adults aged 65 to 74 years living in “very walkable” area were less likely to engage in sedentary behavior more than 7 hours daily. However, older adults over 75 years old living in “very walkable” and “somewhat walkable” areas were more likely to have prolonged sedentary time (more than 7 hours/ day). The results of this research provided the evidence informing urban planning and policy-makers to reduce older adults’ sedentary behavior. It also suggests that future studies are needed to explore types of sedentary behavior of older adults, and pay attention to the sedentary behavior issues of older adults aged over 75 years old living in “very walkable” areas.

    謝 辭 i 摘 要 ii ABSTRACT iv 目 次 vi 表目次 viii 圖目次 ix 第一章 緒論 1 第一節 研究動機與重要性 1 第二節 研究目的 6 第三節 研究問題 7 第四節 名詞操作型定義 8 第五節 研究限制 10 第二章 文獻探討 11 第一節 高齡者靜態行為 11 第二節 鄰里環境宜走性與評估工具 27 第三節 靜態行為之生態學架構 33 第三章 研究方法 41 第一節 研究架構 41 第二節 研究對象 42 第三節 研究假設 44 第四節 研究工具 45 第五節 研究流程 47 第六節 資料處理及分析方法 49 第四章 研究結果與討論 50 第一節 高齡者靜態行為之現況 50 第二節 高齡者社會人口學變項與靜態行為之關聯性 54 第三節 高齡者鄰里環境宜走性與靜態行為之邏輯斯迴歸分析 59 第四節 綜合討論 62 第五章 結論與建議 67 第一節 結論 67 第二節 建議 68 參考資料 70 附錄 80 附件一、研究倫理審查核可證明 80 附件二、電訪問卷 81

    中文部份
    王立亭、方怡堯、何信弘、張少熙 (2020)。台北都會區不同性別高齡者休閒時間身體活動和靜態行為與健康生活品質之關係。台灣公共衛生雜誌,39 (6), 696-708.
    內政部(2019)。108年人口統計年報。取自http://sowf.moi.gov.tw/stat/year/list.htm
    古博文、孫文榮、陳俐蓉(2016a)。老年人靜態行為問卷之發展。大專體育學刊,18(1),41-55,doi: 10.5297/ser.1801.004.
    古博文、陳俐蓉、許志宏(2016b)。老年靜態行為與認知老化之文獻回顧。體育學報特別議題專刊,49(S),1-16,doi: 10.3966/10247297201606490s001.
    行政院主計處 (2019)。2019年每百戶擁有電話機數統計。取自主計處中國華民國統計資訊網:http://www.stat.gov.tw/ct.asp?xItem=37135&ctNode=517&mp=4
    吳佳儀(2002)。社區老人睡眠品質與身體活動、憂鬱之相關性探討‧(未發表之)。台北市:國立臺灣大學護理學研究所。
    國家發展委員會. (2014).中華民國人口推估(2020至2070年). Retrieved from 國家發展委員會:
    廖邕、林倩宇、朴勝泰、岡浩一朗(2018)。環境因素與高齡者步行行為之系統性文獻回顧。大專體育學刊,51(4),411-424,doi:10.3966/102472972018125104001.
    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‧(未發表之)。台北市:國立臺灣大學護理學研究所。
    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。台灣衛誌,38(4),445-452,doi:10.6288/tjph.201908_3 8(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。台灣衛誌,37(4),375-393,doi: 10.6288/tjph.201808_37(4).107023.
    薛名淳、黃品瑄、廖邕(2017)。久坐行為流行病學之研究架構。大專體育學刊,(142),65-74,doi: 10.6162/srr.2017.142.07.
    薛名淳、廖邕、黃品瑄、張少熙(2017)。高齡者久坐行為與健康之文獻回顧。台灣衛誌,36(4),337-349,doi: 10.6288/tjph201736106024.
    英文部分
    Aguilar-Farías, N., Brown, W. J., Olds, T. S., & Peeters, G. M. E. E. (2015). Validity of self-report methods for measuring sedentary behaviour in older adults. Journal of Science and Medicine in Sport, 18(6), 662-666.
    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 and Science in Sports and Exercise, 32(9 Suppl), S498-504. doi:10.1097/00005768-200009001-00009
    Amagasa, S., Inoue, S., Fukushima, N., Kikuchi, H., Nakaya, T., Hanibuchi, T., . . . Owen, N. (2019). Associations of neighborhood walkability with intensity- and bout-specific physical activity and sedentary behavior of older adults in Japan. Geriatr Gerontol Int, 19(9), 861-867. doi:10.1111/ggi.13730
    Andrade, F. M. D., Ribeiro, A. P., Bernal, R. T. I., Machado Í, E., & Malta, D. C. (2020). Profile of care for violence against the elderly in urgency and emergency services: VIVA analysis Survey 2017. Rev Bras Epidemiol, 23. doi:10.1590/1980-549720200008.supl.1
    Bankoski, A., Harris, T. B., McClain, J. J., Brychta, R. J., Caserotti, P., Chen, K. Y., . . . Koster, A. (2011). Sedentary activity associated with metabolic syndrome independent of physical activity. Diabetes Care, 34(2), 497-503. doi:10.2337/dc10-0987
    Banks, E., Jorm, L., Rogers, K., Clements, M., & Bauman, A. (2011). Screen-time, obesity, ageing and disability: findings from 91 266 participants in the 45 and Up Study. Public Health Nutrition, 14(1), 34-43. doi:10.1017/S1368980010000674
    Barnett, A., Cerin, E., Zhang, C. J. P., Sit, C. H. P., Johnston, J. M., Cheung, M. M. C., & Lee, R. S. Y. (2016). Associations between the neighbourhood environment characteristics and physical activity in older adults with specific types of chronic conditions: the ALECS cross-sectional study. The International Journal of Behavioral Nutrition and Physical Activity, 13, 53. doi:10.1186/s12966-016-0377-
    Bauman, A., Ainsworth, B. E., Sallis, J. F., Hagstromer, M., Craig, C. L., Bull, F. C., . . . Group, I. P. S. (2011). The descriptive epidemiology of sitting. A 20-country comparison using the International Physical Activity Questionnaire (IPAQ). American Journal of Preventive Medicine, 41(2), 228-235. doi:10.1016/j.amepre.2011.05.003
    Bey, L., & Hamilton, M. T. (2003). Suppression of skeletal muscle lipoprotein lipase activity during physical inactivity: a molecular reason to maintain daily low-intensity activity. Journal of Physiology, 551(Pt 2), 673-682. doi:10.1113/jphysiol.2003.045591
    Bowman, S. A. (2006). Television-viewing characteristics of adults: correlations to eating practices and overweight and health status. Preventing Chronic Disease, 3, 1-11.
    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. doi:10.1136/bjsm.2009.069609
    Chang, S. H., Fang, I. Y., Hsueh, M. C., & Liao, Y. (2015). Gender Differences in Sociodemographic Correlates with Excessive Television Viewing Time in Taiwanese Older Adults. Iranian Journal of Public Health, 44(6), 875-876.
    Chang, S. H., Rutherford, R., Hsueh, M. C., Yu, Y. C., Park, J. H., Wang, S., & Liao, Y. (2020). Neighborhood Environment and Objectively Measured Sedentary Behavior Among Older Adults: A Cross-Sectional Study. Front Public Health, 8, 552198. doi:10.3389/fpubh.2020.552198
    Chastin, S. F., Buck, C., Freiberger, E., Murphy, M., Brug, J., Cardon, G., . . . Oppert, J. M. (2015). Systematic literature review of determinants of sedentary behaviour in older adults: a DEDIPAC study. The International Journal of Behavioral Nutrition and Physical Activity, 12, 127. doi:10.1186/s12966-015-0292-3
    Chaudhury, H., Campo, M., Michael, Y., & Mahmood, A. (2016). Neighbourhood environment and physical activity in older adults. Social Science and Medicine, 149, 104-113. doi:10.1016/j.socscimed.2015.12.011
    de Rezende, L. F., Rey-López, J. P., Matsudo, V. K., & do Carmo Luiz, O. (2014). Sedentary behavior and health outcomes among older adults: a systematic review. BMC Public Health, 14, 333. doi:10.1186/1471-2458-14-333
    Duncan, D. T. (2013). What's your Walk Score(R)?: Web-based neighborhood walkability assessment for health promotion and disease prevention. American Journal of Preventive Medicine, 45(2), 244-245. doi:10.1016/j.amepre.2013.04.008
    Ekelund, U., Steene-Johannessen, J., Brown, W. J., Fagerland, M. W., Owen, N., Powell, K. E., . . . Lee, I. M. (2016). Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women. The Lancet, 388(10051), 1302-1310. doi:10.1016/s0140-6736(16)30370-1
    Gao, J., Fu, H., Li, J., & Jia, Y. (2015). Association between social and built environments and leisure-time physical activity among Chinese older adults--a multilevel analysis. BMC Public Health, 15, 1317. doi:10.1186/s12889-015-2684-3.
    Gao, Y., Rantalainen, T., Finni, T., Portegijs, E., Eronen, J., Rantanen, T., & Rantakokko, M. (2020). Daily Physical Activity and Sedentary Time Assessed by Acceleration Based on Mean Amplitude Deviation among Older People. International Journal of Environmental Research and Public Health, 17(18). doi:10.3390/ijerph17186887
    Gardiner, P. A., Clark, B. K., Healy, G. N., Eakin, E. G., Winkler, E. A., & Owen, N. (2011). Measuring older adults' sedentary time: reliability, validity, and responsiveness. Medicine and Science in Sports and Exercise, 43(11), 2127-2133. doi:10.1249/MSS.0b013e31821b94f7
    Gardiner, P. A., Healy, G. N., Eakin, E. G., Clark, B. K., Dunstan, D. W., Shaw, J. E., . . . Owen, N. (2011). Associations between television viewing time and overall sitting time with the metabolic syndrome in older men and women: the Australian Diabetes, Obesity and Lifestyle study. Journal of the American Geriatrics Society, 59(5), 788-796. doi:10.1111/j.1532-5415.2011.03390.x
    Gilchrist, S. C., et al. (2020). Association of Sedentary Behavior With Cancer Mortality in Middle-aged and Older US Adults. JAMA Oncol ,6(8): 1210-1217. doi:10.1001/ jamaoncol.2020.2045
    Grøntved, A., & Hu, F. B. (2011). Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: a meta-analysis. JAMA, 305(23), 2448-2455. doi:10.1001/jama.2011.812
    Hajna, S., Ross, N. A., Joseph, L., Harper, S., & Dasgupta, K. (2015). Neighbourhood walkability, daily steps and utilitarian walking in Canadian adults. BMJ Open, 5(11), e008964. doi:10.1136/bmjopen-2015-008964
    Hamilton, M. T., Healy, G. N., Dunstan, D. W., Zderic, T. W., & Owen, N. (2008). Too Little Exercise and Too Much Sitting: Inactivity Physiology and the Need for New Recommendations on Sedentary Behavior. Current Cardiovascular Risk Reports, 2(4), 292-298. doi:10.1007/s12170-008-0054-8
    Hart, T. L., Swartz, A. M., Cashin, S. E., & Strath, S. J. (2011). How many days of monitoring predict physical activity and sedentary behaviour in older adults? The International Journal of Behavioral Nutrition and Physical Activity, 8, 62. doi:10.1186/1479-5868-8-62
    Harvey, J. A., Chastin, S. F., & Skelton, D. A. (2015). How Sedentary are Older People? A Systematic Review of the Amount of Sedentary Behavior. Journal of Aging and Physical Activity, 23(3), 471-487. doi:10.1123/japa.2014-0164
    Healy, G. N., Dunstan, D. W., Salmon, J., Shaw, J. E., Zimmet, P. Z., & Owen, N. (2008). Television time and continuous metabolic risk in physically active adults. Medicine and Science in Sports and Exercise, 40(4), 639-645. doi:10.1249/MSS.0b013e3181607421
    Hsueh, M. C., Liao, Y., & Chang, S. H. (2016). Associations of Total and Domain-Specific Sedentary Time With Type 2 Diabetes in Taiwanese Older Adults. Journal of Epidemiology, 26(7), 348-354. doi:10.2188/jea.JE20150095
    Humpel, N., Owen, N., Iverson, D., Leslie, E., & Bauman, A. (2004). Perceived environment attributes, residential location, and walking for particular purposes. American Journal of Preventive Medicine, 26(2), 119-125. doi:10.1016/j.amepre.2003.10.005
    King, W. C., Brach, J. S., Belle, S., Killingsworth, R., Fenton, M., & Kriska, A. M. (2003). The relationship between convenience of destinations and walking levels in older women. American Journal of Health Promotion, 18(1), 74-82. doi:10.4278/0890-1171-18.1.74
    Koohsari, M. J., Sugiyama, T., Hanibuchi, T., Shibata, A., Ishii, K., Liao, Y., & Oka, K. (2018). Validity of Walk Score(R) as a measure of neighborhood walkability in Japan. Prev Med Rep, 9, 114-117. doi:10.1016/j.pmedr.2018.01.001
    Ku, P. W., Steptoe, A., Liao, Y., Hsueh, M. C., & Chen, L. J. (2019). A Threshold of Objectively-Assessed Daily Sedentary Time for All-Cause Mortality in Older Adults: A Meta-Regression of Prospective Cohort Studies. J Clin Med, 8(4). doi:10.3390/jcm8040564
    Ku PW, Steptoe A, Liao Y, Hsueh MC, Chen LJ. (2018) A cut-off of daily sedentary time and all-cause mortality in adults: a meta-regression analysis involving more than 1 million participants. BMC Med 2018;16:74. doi:10.1186/s12916-018-1062-2.
    Leão, O. A. A., Knuth, A. G., & Meucci, R. D. (2020). Sedentary behavior in elderly residents from the rural area in Southern Brazil. Rev Bras Epidemiol, 23, e200008. doi:10.1590/1980-549720200008
    Liao, Y., Lin, C. Y., Lai, T. F., Chen, Y. J., Kim, B., & Park, J. H. (2019). Walk Score((R)) and Its Associations with Older Adults' Health Behaviors and Outcomes. International Journal of Environmental Research and Public Health, 16(4). doi:10.3390/ijerph16040622
    Liou, Y. M., Jwo, C. J., Yao, K. G., Chiang, L. C., & Huang, L. H. (2008). Selection of appropriate Chinese terms to represent intensity and types of physical activity terms for use in the Taiwan version of IPAQ. Journal of Nursing Research, 16(4), 252-263. doi:10.1097/01.jnr.0000387313.20386.0a
    Loprinzi, P. D., Edwards, M. K., Sng, E., & Addoh, O. (2016). Sedentary behavior and residual-specific mortality. Health Promot Perspect, 6(4), 196-201. doi:10.15171/hpp.2016.32
    Luijkx, M., & Helbich, M. (2019). Neighborhood Walkability Is Not Associated with Adults' Sedentary Behavior in the Residential Setting: Evidence from Breda, The Netherlands. International Journal of Environmental Research and Public Health, 16(18). doi:10.3390/ijerph16183487
    Lynch, B. M. (2010). Sedentary behavior and cancer: a systematic review of the literature and proposed biological mechanisms. Cancer Epidemiology, Biomarkers and Prevention, 19(11), 2691-2709. doi:10.1158/1055-9965.EPI-10-0815
    Martinez-Gomez, D., Guallar-Castillon, P., Mota, J., Lopez-Garcia, E., & Rodriguez-Artalejo, F. (2015). Physical Activity, Sitting Time and Mortality in Older Adults with Diabetes. International Journal of Sports Medicine, 36(14), 1206-1211. doi:10.1055/s-0035-1555860
    Martínez-Gómez, D., Guallar-Castillón, P., León-Muñoz, L. M., López-García, E., & Rodríguez-Artalejo, F. (2013). Combined impact of traditional and non-traditional health behaviors on mortality: a national prospective cohort study in Spanish older adults. BMC Medicine, 11, 47. doi:10.1186/1741-7015-11-47
    Martínez, M. A., et al. (2018). Correlates of sedentary behaviors in Chile: evidence from the National Health Survey 2009-2010. Revista Medica de Chile, 146(1): 22-31.
    Matthews, C. E., George, S. M., Moore, S. C., Bowles, H. R., Blair, A., Park, Y., . . . Schatzkin, A. (2012). Amount of time spent in sedentary behaviors and cause-specific mortality in US adults. American Journal of Clinical Nutrition, 95(2), 437-445. doi:10.3945/ajcn.111.019620
    Mingo, J., & Armstrong, R. (1988). The Office Couch Potato handbook. San Francisco: CA:Last Gasp.
    Network., S. B. R. (2013). Letter to the Editor: Standardized use of the terms “sedentary” and “sedentary behaviours” (17552966). Retrieved from
    Nykiforuk, C. I., McGetrick, J. A., Crick, K., & Johnson, J. A. (2016). Check the score: Field validation of Street Smart Walk Score in Alberta, Canada. Prev Med Rep, 4, 532-539. doi:10.1016/j.pmedr.2016.09.010
    Onambele-Pearson, G., et al. (2019). Influence of Habitual Physical Behavior - Sleeping, Sedentarism, Physical Activity - On Bone Health in Community-Dwelling Older People. Frontiers in Physiology, 10: 408.
    Owari, Y. and N. Miyatake (2019). Relationship between Psychological Distress and Continuous Sedentary Behavior in Healthy Older Adults. Medicina, 55(7): 324.
    Owen, N. (2012). Sedentary behavior: understanding and influencing adults' prolonged sitting time. Preventive Medicine, 55(6), 535-539. doi:10.1016/j.ypmed.2012.08.024
    Owen, N., Healy, G. N., Matthews, C. E., & Dunstan, D. W. (2010). Too much sitting: the population health science of sedentary behavior. Exercise and Sport Sciences Reviews, 38(3), 105-113. doi:10.1097/JES.0b013e3181e373a2
    Owen, N., Sugiyama, T., Eakin, E. E., Gardiner, P. A., Tremblay, M. S., & Sallis, J. F. (2011). Adults' sedentary behavior determinants and interventions. American Journal of Preventive Medicine, 41(2), 189-196. doi:10.1016/j.amepre.2011.05.01
    Oyeyemi, A. L., Kolo, S. M., Rufai, A. A., Oyeyemi, A. Y., Omotara, B. A., & Sallis, J. F. (2019). Associations of Neighborhood Walkability with Sedentary Time in Nigerian Older Adults. International Journal of Environmental Research and Public Health, 16(11). doi:10.3390/ijerph16111879
    Park, S., et al. (2019). Factors of Physical Activity and Sedentary Behavior in Elderly Koreans. American Journal of Health Behavior, 43(6): 1040-1049.
    Reid, R. E. R., Carver, T. E., Reid, T. G. R., Picard-Turcot, M. A., Andersen, K. M., Christou, N. V., & Andersen, R. E. (2017). Effects of Neighborhood Walkability on Physical Activity and Sedentary Behavior Long-Term Post-Bariatric Surgery. Obesity Surgery, 27(6), 1589-1594. doi:10.1007/s11695-016-2494-4
    Rhodes, R. E., Mark, R. S., & Temmel, C. P. (2012). Adult Sedentary Behavior: A Systematic Review. American Journal of Preventive Medicine, 42(3), e3-e28. doi:https://doi.org/10.1016/j.amepre.2011.10.020
    Rosenberg, D. E., Bull, F. C., Marshall, A. L., Sallis, J. F., & Bauman, A. E. (2008). Assessment of sedentary behavior with the International Physical Activity Questionnaire. J Phys Act Health, 5 Suppl 1, S30-44. doi:10.1123/jpah.5.s1.s30
    Russell, D., & Chase, J. D. (2019). The Social Context of Sedentary Behaviors and Their Relationships With Health in Later Life. Journal of Aging and Physical Activity, 27(4), 797-806. doi:10.1123/japa.2018-0109
    Sallis, J. F., & Owen, N. (2015). Ecological models of health behavior. In Health behavior: Theory, research, and practice, 5th ed. (pp. 43-64). Hoboken, NJ, US: Jossey-Bass/Wiley.
    Sallis, J. F., Owen, N., & Fisher, E. (2008). Ecological Models of Health Behavior. In Health Behavior and Health Education: Theory, Research and Practice. Ecological Models of Health Behavior Health Behavior and Health Education: Theory, Research, and Practice, 465-482.
    Salmon, J., Owen, N., Crawford, D., Bauman, A., & Sallis, J. F. (2003). Physical activity and sedentary behavior: A population-based study of barriers, enjoyment, and preference. Health Psychology, 22(2), 178-188. doi:10.1037/0278-6133.22.2.178
    Sardinha, L. B., Santos, D. A., Silva, A. M., Baptista, F., & Owen, N. (2015). Breaking-up sedentary time is associated with physical function in older adults. Journals of Gerontology. Series A: Biological Sciences and Medical Sciences, 70(1), 119-124. doi:10.1093/gerona/glu193
    Stamatakis, E., Davis, M., Stathi, A., & Hamer, M. (2012). Associations between multiple indicators of objectively-measured and self-reported sedentary behaviour and cardiometabolic risk in older adults. Preventive Medicine, 54(1), 82-87. doi:10.1016/j.ypmed.2011.10.009
    Stokols, D. (2016). Translating Social Ecological Theory into Guidelines for Community Health Promotion. American Journal of Health Promotion, 10(4), 282-298. doi:10.4278/0890-1171-10.4.282
    Sugiyama, T., Salmon, J., Dunstan, D. W., Bauman, A. E., & Owen, N. (2007). Neighborhood walkability and TV viewing time among Australian adults. American Journal of Preventive Medicine, 33(6), 444-449. doi:10.1016/j.amepre.2007.07.035
    Thyfault, J. P., Du, M., Kraus, W. E., Levine, J. A., & Booth, F. W. (2015). Physiology of sedentary behavior and its relationship to health outcomes. Medicine and Science in Sports and Exercise, 47(6), 1301-1305. doi:10.1249/MSS.0000000000000518
    Tremblay, M. S., Colley, R. C., Saunders, T. J., Healy, G. N., & Owen, N. (2010). Physiological and health implications of a sedentary lifestyle. Applied Physiology, Nutrition, and Metabolism. Physiologie Appliquée, Nutrition et Métabolisme, 35(6), 725-740. doi:10.1139/H10-079
    Van Cauwenberg, J., Van Holle, V., De Bourdeaudhuij, I., Owen, N., & Deforche, B. (2014). Older adults' reporting of specific sedentary behaviors: validity and reliability. BMC Public Health, 14, 734. doi:10.1186/1471-2458-14-734
    Van Holle, V., Van Cauwenberg, J., De Bourdeaudhuij, I., Deforche, B., Van de Weghe, N., & Van Dyck, D. (2016). Interactions between Neighborhood Social Environment and Walkability to Explain Belgian Older Adults' Physical Activity and Sedentary Time. International Journal of Environmental Research and Public Health, 13(6). doi:10.3390/ijerph13060569
    Visser, M., & Koster, A. (2013). Development of a questionnaire to assess sedentary time in older persons--a comparative study using accelerometry. BMC Geriatrics, 13, 80. doi:10.1186/1471-2318-13-80
    Wallmann-Sperlich, B., Bucksch, J., Hansen, S., Schantz, P., & Froboese, I. (2013). Sitting time in Germany: an analysis of socio-demographic and environmental correlates. BMC Public Health, 13, 196. doi:10.1186/1471-2458-13-196
    Washburn, R. A., Smith, K. W., Jette, A. M., & Janney, C. A. (1993). The Physical Activity Scale for the Elderly (PASE): development and evaluation. Journal of Clinical Epidemiology, 46(2), 153-162. doi:10.1016/0895-4356(93)90053-4
    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). doi:10.3390/su11082205

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