人口老化的問題逐漸受到重視，高齡者的健康議題成為世人關注重點。久坐行為以成為現代人生活的普遍常態，人們對個人生活型態的認知值得探討，因此本研究將探討高齡者客、主觀久坐行為差異與身體組成之關聯性。本研究之主要研究目的為瞭解高齡者客、主觀久坐行為差異與身體組成之關聯性。本研究之研究對象為198名年滿65位以上，且具獨立行走能力之高齡者，研究工具包括ActiGraph三軸加速規 (GT3X+, Pensacola, Florida)、國際身體活動量表短版問卷中文版及身體組成分析儀 (MC-780MA, TANITA, TOKYO, Japan)。本研究將使用SPSS 23進行統計分析，統計方法包括描述性統計、卡方檢定、獨立樣本t檢定及多元線性迴歸。研究結果發現研究對象客觀久坐行為平均為9.79小時，主觀久坐行為平均為4.05小時，兩者相差5.74小時。因此，本研究將研究對象客、主觀久坐行為差異分為「認知差異小」、「認知差異中等」、「認知差異大」三組。此外，高齡者客、主觀久坐行為差異與全身肌肉量沒有顯著相關，而與「認知差異中等」相比，「認知差異大」有顯著較少的全身脂肪量。本研究透過研究結果發現，高齡者客、主觀久坐行為差異越大，全身脂肪量則越少。因此，本研究建議應促進高齡者健康意識並增進高齡者自我認知，可以透過課程、活動等，讓民眾提升對自身健康的認識。

The issue of population aging is gradually receiving more attention, with the health issues of the elderly becoming a focal point of concern worldwide. Sedentary behavior has become a common feature of modern life, prompting a need to explore people's perceptions of their own lifestyles. Therefore, this study aims to investigate differences in subjectively and objectively measured sedentary behavior and its association with body composition in older adults. The primary purpose of this study is to understand the differences in subjectively and objectively measured sedentary behavior body composition among the elderly. The study included 198 elderly individuals aged 65 and above, capable of independent walking. Research tools utilized include the ActiGraph accelerometer (GT3X+, Pensacola, Florida), the International Physical Activity Questionnaire Short Form (Taiwanese version), and a body composition analyzer (MC-780MA, TANITA, TOKYO, Japan). Statistical analysis was conducted using SPSS 23, including descriptive statistics, chi-square tests, independent sample t-tests, and multiple linear regression. The study found that the average objective sedentary behavior among the participants was 9.79 hours, while the average subjective sedentary behavior was 4.05 hours, indicating a difference of 5.74 hours. Thus, the differences in objective and subjective sedentary behavior among the participants were categorized into three groups: "small cognitive difference," "moderate cognitive difference," and "large cognitive difference." Additionally, there was no significant correlation between the differences in objective and subjective sedentary behavior and total body muscle mass. However, compared to those with a "moderate cognitive difference," those with a "large cognitive difference" had significantly lower total body fat mass. Through the study findings, it was observed that greater differences between objective and subjective sedentary behavior among the elderly were associated with lower total body fat mass. Therefore, the study suggests the promotion of health awareness among the elderly and the enhancement of self-awareness through programs and activities aimed at increasing individuals' awareness of their own health.

方彬彬、劉宏祐、盧俊宏 (2020)。老人久坐行為對健康和壽命的影響：探討身體活動之助益。文化體育學刊，31，33-45。https://doi.org/10.6634/jpss-ccu.202010_(31).0004
王秀紅、王瑞霞、邱啟潤、李建廷 (1992)。婦女健康促進行為及其相關因素的探討－以高雄市三民區及屏東縣高樹鄉居民為例。公共衛生，19(3)，251-265。
王瑞霞、許秀月 (1997)。社區老年人健康促進行爲及其相關因素的探討－以高雄市三民區老人爲例。護理研究，5(4)，321-330。https://doi.org/10.7081/nr.199708.0321
王鶴森、吳泰賢、吳慧君、李佳倫、李意旻、林高正、郭婕、溫小娟、劉介仲、蔡佈曦、蔡琪文、鄭宇容、鄭景峰、謝悅齡、顏惠芷 (2011)。運動生理學 (3版)。新文京。
內政部戶政司 (無日期)。全國人口資料統計地圖。內政部戶政司。擷取於3月31日2024年，https://gis.ris.gov.tw/index.html
林勁宏 (2012)。大學員工身體組成變化之探討。運動生理暨體能學報，14，49-57。 https://doi.org/10.6127/jepf.2012.14.05
林勁宏、盧淑雲、洪大程、游文杉、許美智 (2011)。大學生身體組成與脂肪分布之探討。運動生理暨體能學報，12，31-40。https://doi.org/10.6127/jepf.2011.12.04
徐金鋒、陳麗華、鍾福啟、趙高政、曾明郎 (2011)。高科技男性工程師身體活動測量工具效度探討。健康管理學刊，9(1)，75-81。https://doi.org/10.29805/jhm.201106.0006
張彩秀 (1995)。不同運動行為的中老年人主觀健康狀況之研究。弘光醫專學報 (25)，1-20。https://doi.org/10.6615/bhimnt.199501.25.01
張淑芳 (2014)。老年肌少症之診斷與治療。護理雜誌，61(2)，101-105。 https://doi.org/10.6224/jn.61.2.101
曹德弘 (1997)。身體組成測量方法的新動向。中華體育季刊，11(3)，49-54。 https://doi.org/10.6223/qcpe.1103.199712.1708
許素馨 (2023)。久坐傷身: 高齡者不同主客觀靜態時間與功能性體適能之差異研究 [碩士論文，國立臺灣師範大學]。華藝線上圖書館。https://doi.org/10.6345/NTNU202301747
陳竑廷、吳慧君、廖智雄、鍾雨純 (2015)。老年人肌肉減少影響功能性體適能及衰弱程度。文化體育學刊，21，1-9。https://doi.org/10.6634/jpss-ccu.201512.21.01
陳嬿如、林承萓、廖邕 (2016)。身體活動流行病學架構之介紹。大專體育，(137)，31-36。https://doi.org/10.6162/srr.2016.137.04
國家發展委員會 (2022，8月23日)。中華民國人口推估 (2022至2070年)。國家發展委員會。https://www.ndc.gov.tw/nc_14813_36128
黃翊軒 (2021)。客觀環境因素與高齡者螢幕觀看行為之關聯性 [碩士論文，國立臺灣師範大學]。臺灣碩博士論文知識加值系統。https://hdl.handle.net/11296/ysszpt
衛生福利部 (2023，無日期)。成人肥胖防治實證指引。衛生福利部。https://www.hpa.gov.tw/File/Attach/10042/File_20342.pdf
劉影梅 (2004)。國際身體活動量表臺灣中文版之發展與信效度驗證 [博士論文，國立臺灣大學]。華藝線上圖書館。https://doi.org/10.6342/NTU.2004.02074
劉影梅、吳佳珊 (2009)。身體活動評估與量表。中華民國糖尿病衛教學會會訊，5(3)，11-17。https://doi.org/10.6583/tade.2009.5(3).6
劉崇志 (2021)。老人運動自我效能與自覺健康之相關研究 [碩士論文，弘光科技大學]。臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/c854sy
蔡明書、林曼蕙 (2008)。不同身體活動量高齡者之身體型態及下肢運動機能探討。大專體育學術專刊，97，830-835。 https://doi.org/10.6695/aues.200805_97.0120
盧廷峻、張世沛 (2010)。身體組成與肥胖對健康之影響。臺中學院體育，6，101-110。https://doi.org/10.6980/tzxyty.201001.0100
賴鼎富、蕭綺、黃婉綺、薛名淳、廖邕 (2022)。三軸加速規應用於身體活動及靜態行為測量使用之敘述性綜論。運動表現期刊，9(2)，59-77。 https://doi.org/10.53106/240996512022090902001
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，142，65-74。https://doi.org/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。臺灣公共衛生雜誌，36(4)，337-349。https://doi.org/10.6288/tjph201736106024
魏淑卿、林俊達、黎俊彥 (2010)。不同國際身體活動量老年人功能性活動表現之差異。嘉大體育健康休閒期刊，9(2)，202-205。https://doi.org/10.6169/ncyujpehr.9.2.20
Aarsland, D., Sardahaee, F. S., Anderssen, S., & Ballard, C. (2010). Is physical activity a potential preventive factor for vascular dementia? A systematic review. Aging Ment Health, 14(4), 386-395. https://doi.org/10.1080/13607860903586136
Aktürk, Ü., Aktürk, S., & Erci, B. (2019). The effects of depression, personal characteristics, and some habits on physical activity in the elderly. Perspect Psychiatr Care, 55(1), 112-118. https://doi.org/10.1111/ppc.12322
Arai, Y., Takayama, M., Gondo, Y., Inagaki, H., Yamamura, K., Nakazawa, S., Kojima, T., Ebihara, Y., Shimizu, K., Masui, Y., Kitagawa, K., Takebayashi, T., & Hirose, N. (2008). Adipose endocrine function, insulin-like growth factor-1 axis, and exceptional survival beyond 100 years of age. The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences, 63(11), 1209-1218. https://doi.org/10.1093/gerona/63.11.1209
Atkin, A. J., Gorely, T., Clemes, S. A., Yates, T., Edwardson, C., Brage, S., Salmon, J., Marshall, S. J., & Biddle, S. J. (2012). Methods of Measurement in epidemiology: sedentary Behaviour. International Journal of Epidemiology, 41(5), 1460-1471. https://doi.org/10.1093/ije/dys118
Aunger, J., & Wagnild, J. (2022). Objective and subjective measurement of sedentary behavior in human adults: A toolkit. American Journal of Human Biology, 34(1), e23546. https://doi.org/10.1002/ajhb.23546
Azoulay, E., Yackobovitch-Gavan, M., Yaacov, H., Gilboa, I., Lopez, A., Sheppes, T., Waksman, Y., Lebenthal, Y., & Brener, A. (2021). Weight Status and Body Composition Dynamics in Children and Adolescents During the COVID-19 Pandemic. Front Pediatr, 9, 707773. https://doi.org/10.3389/fped.2021.707773
Bakker, E. A., Hartman, Y. A. W., Hopman, M. T. E., Hopkins, N. D., Graves, L. E. F., Dunstan, D. W., Healy, G. N., Eijsvogels, T. M. H., & Thijssen, D. H. J. (2020). Validity and reliability of subjective methods to assess sedentary behaviour in adults: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity, 17(1), 75. https://doi.org/10.1186/s12966-020-00972-1
Bassett, A. J., Ahlmen, A., Rosendorf, J. M., Romeo, A. A., Erickson, B. J., & Bishop, M. E. (2020). The Biology of Sex and Sport. The Journal of Bone and Joint Surgery Reviews, 8(3), e0140. https://doi.org/10.2106/jbjs.Rvw.19.00140
Baumgartner, R. N. (1993). Body composition in elderly persons: a critical review of needs and methods. Progress in Food and Nutrition Science, 17(3), 223-260.
Biskup, M., Macek, P., Terek-Derszniak, M., Zak, M., Krol, H., Falana, K., & Gozdz, S. (2023). Agreement between Accelerometer-Assessed and Self-Reported Physical Activity and Sedentary Behavior in Female Breast Cancer Survivors. Diagnostics (Basel), 13(22). https://doi.org/10.3390/diagnostics13223447
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 Reports, 100(2), 126-131.
Castillo, E. M., Goodman-Gruen, D., Kritz-Silverstein, D., Morton, D. J., Wingard, D. L., & Barrett-Connor, E. (2003). Sarcopenia in elderly men and women: the Rancho Bernardo study. American Journal of Preventive Medicine, 25(3), 226-231. https://doi.org/10.1016/s0749-3797(03)00197-1
Chang, A. K., & Sok, S. R. (2015). Predictors of Sedentary Behavior in Elderly Koreans With Hypertension. Journal of Nursing Research, 23(4), 262-270. https://doi.org/10.1097/jnr.0000000000000094
Chodzko-Zajko, W. J., Proctor, D. N., Fiatarone Singh, M. A., Minson, C. T., Nigg, C. R., Salem, G. J., & Skinner, J. S. (2009). American College of Sports Medicine position stand. Exercise and physical activity for older adults. Medicine & Science in Sports & Exercise, 41(7), 1510-1530. https://doi.org/10.1249/MSS.0b013e3181a0c95c
Clark, B. K., Healy, G. N., Winkler, E. A., Gardiner, P. A., Sugiyama, T., Dunstan, D. W., Matthews, C. E., & Owen, N. (2011). Relationship of television time with accelerometer-derived sedentary time: NHANES. Medicine & Science in Sports & Exercise, 43(5), 822-828. https://doi.org/10.1249/MSS.0b013e3182019510
Clark, B. K., Sugiyama, T., Healy, G. N., Salmon, J., Dunstan, D. W., Shaw, J. E., Zimmet, P. Z., & Owen, N. (2010). Socio-demographic correlates of prolonged television viewing time in Australian men and women: the AusDiab study. Journal of Physical Activity and Health, 7(5), 595-601. https://doi.org/10.1123/jpah.7.5.595
Cunha, A. C. D., Santos Neto, E. T. D., & Salaroli, L. B. (2022). Self-assessment of the health status and leisure activities of individuals on haemodialysis. Scientific Reports, 12(1), 20344. https://doi.org/10.1038/s41598-022-23955-7
Davis, M. G., Fox, K. R., Hillsdon, M., Sharp, D. J., Coulson, J. C., & Thompson, J. L. (2011). Objectively measured physical activity in a diverse sample of older urban UK adults. Medicine & Science in Sports & Exercise, 43(4), 647-654. https://doi.org/10.1249/MSS.0b013e3181f36196
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. https://doi.org/10.1186/1471-2458-14-333
Doherty, A. R., Kelly, P., Kerr, J., Marshall, S., Oliver, M., Badland, H., Hamilton, A., & Foster, C. (2013). Using wearable cameras to categorise type and context of accelerometer-identified episodes of physical activity. International Journal of Behavioral Nutrition and Physical Activity, 10, 22. https://doi.org/10.1186/1479-5868-10-22
Fitzsimons, C. F., Kirk, A., Baker, G., Michie, F., Kane, C., & Mutrie, N. (2013). Using an individualised consultation and activPAL™ feedback to reduce sedentary time in older Scottish adults: results of a feasibility and pilot study. Preventive Medicine, 57(5), 718-720. https://doi.org/10.1016/j.ypmed.2013.07.017
F, M. S., Petrica, J., Serrano, J., Paulo, R., Ramalho, A., Lucas, D., Ferreira, J. P., & Duarte-Mendes, P. (2019). The Sedentary Time and Physical Activity Levels on Physical Fitness in the Elderly: A Comparative Cross Sectional Study. International Journal of Environmental Research and Public Health, 16(19), 3697. https://doi.org/10.3390/ijerph16193697
Gemming, L., Doherty, A., Utter, J., Shields, E., & Ni Mhurchu, C. (2015). The use of a wearable camera to capture and categorise the environmental and social context of self-identified eating episodes. Appetite, 92, 118-125. https://doi.org/10.1016/j.appet.2015.05.019
Gennuso, K. P., Gangnon, R. E., Matthews, C. E., Thraen-Borowski, K. M., & Colbert, L. H. (2013). Sedentary behavior, physical activity, and markers of health in older adults. Medicine & Science in Sports & Exercise, 45(8), 1493-1500. https://doi.org/10.1249/MSS.0b013e318288a1e5
Gianoudis, J., Bailey, C. A., & Daly, R. M. (2015). Associations between sedentary behaviour and body composition, muscle function and sarcopenia in community-dwelling older adults. Osteoporosis International, 26(2), 571-579. https://doi.org/10.1007/s00198-014-2895-y
Giurgiu, M., Bussmann, J. B., Hill, H., Anedda, B., Kronenwett, M., Koch, E. D., Ebner-Priemer, U. W., & Reichert, M. (2020). Validating accelerometers for the assessment of body position and sedentary behavior. Journal for the Measurement of Physical Behaviour, 3(3), 253-263.
Gómez-Cabello, A., Pedrero-Chamizo, R., Olivares, P. R., Hernández-Perera, R., Rodríguez-Marroyo, J. A., Mata, E., Aznar, S., Villa, J. G., Espino-Torón, L., Gusi, N., González-Gross, M., Casajús, J. A., Ara, I., & Vicente-Rodríguez, G. (2012). Sitting time increases the overweight and obesity risk independently of walking time in elderly people from Spain. Maturitas, 73(4), 337-343. https://doi.org/10.1016/j.maturitas.2012.09.001
Grimby, G. (1995). Muscle performance and structure in the elderly as studied cross-sectionally and longitudinally. The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences, 50A(Special_Issue), 17-22. https://doi.org/10.1093/gerona/50a.special_issue.17
Hart, T. L., Ainsworth, B. E., & Tudor-Locke, C. (2011). Objective and subjective measures of sedentary behavior and physical activity. Medicine & Science in Sports & Exercise, 43(3), 449-456. https://doi.org/10.1249/MSS.0b013e3181ef5a93
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. https://doi.org/10.1123/japa.2014-0164
Headley, S., Hutchinson, J., Wooley, S., Dempsey, K., Phan, K., Spicer, G., Janssen, X., Laguilles, J., & Matthews, T. (2018). Subjective and objective assessment of sedentary behavior among college employees. BMC Public Health, 18(1), 768. https://doi.org/10.1186/s12889-018-5630-3
Helmerhorst, H. J., Wijndaele, K., Brage, S., Wareham, N. J., & Ekelund, U. (2009). Objectively measured sedentary time may predict insulin resistance independent of moderate- and vigorous-intensity physical activity. Diabetes, 58(8), 1776-1779. https://doi.org/10.2337/db08-1773
Honda, T., Chen, S., Kishimoto, H., Narazaki, K., & Kumagai, S. (2014). Identifying associations between sedentary time and cardio-metabolic risk factors in working adults using objective and subjective measures: a cross-sectional analysis. BMC Public Health, 14, 1307. https://doi.org/10.1186/1471-2458-14-1307
Hsueh, M. C., Liao, Y., & Chang, S. H. (2015). Are Total and Domain-Specific Sedentary Time Associated with Overweight in Older Taiwanese Adults? International Journal of Environmental Research and Public Health, 12(10), 12697-12705. https://doi.org/10.3390/ijerph121012697
Hu, F. B., Li, T. Y., Colditz, G. A., Willett, W. C., & Manson, J. E. (2003). Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. Journal of the American Medical Association, 289(14), 1785-1791. https://doi.org/10.1001/jama.289.14.1785
Idler, E. L., & Benyamini, Y. (1997). Self-rated health and mortality: a review of twenty-seven community studies. Journal of Health and Social Behavior, 38(1), 21-37.
Inoue, S., Sugiyama, T., Takamiya, T., Oka, K., Owen, N., & Shimomitsu, T. (2012). Television viewing time is associated with overweight/obesity among older adults, independent of meeting physical activity and health guidelines. Journal of Epidemiology, 22(1), 50-56. https://doi.org/10.2188/jea.je20110054
Janssen, I., Heymsfield, S. B., Wang, Z. M., & Ross, R. (2000). Skeletal muscle mass and distribution in 468 men and women aged 18-88 yr. Journal of Applied Physiology (1985), 89(1), 81-88. https://doi.org/10.1152/jappl.2000.89.1.81
Júdice, P. B., Santos, D. A., Hamilton, M. T., Sardinha, L. B., & Silva, A. M. (2015). Validity of GT3X and Actiheart to estimate sedentary time and breaks using ActivPAL as the reference in free-living conditions. Gait Posture, 41(4), 917-922. https://doi.org/10.1016/j.gaitpost.2015.03.326
Júdice, P. B., Silva, A. M., & Sardinha, L. B. (2015). Sedentary Bout Durations Are Associated with Abdominal Obesity in Older Adults. The Journal of Nutrition, Health & Aging, 19(8), 798-804. https://doi.org/10.1007/s12603-015-0501-4
Kelly, P., Marshall, S. J., Badland, H., Kerr, J., Oliver, M., Doherty, A. R., & Foster, C. (2013). An ethical framework for automated, wearable cameras in health behavior research. American Journal of Preventive Medicine, 44(3), 314-319. https://doi.org/10.1016/j.amepre.2012.11.006
King, A. C., Goldberg, J. H., Salmon, J., Owen, N., Dunstan, D., Weber, D., Doyle, C., & Robinson, T. N. (2010). Identifying subgroups of U.S. adults at risk for prolonged television viewing to inform program development. American Journal of Preventive Medicine, 38(1), 17-26. https://doi.org/10.1016/j.amepre.2009.08.032
Kirkland, J. L., & Dobson, D. E. (1997). Preadipocyte function and aging: links between age-related changes in cell dynamics and altered fat tissue function. Journal of the American Geriatrics Society, 45(8), 959-967. https://doi.org/10.1111/j.1532-5415.1997.tb02967.x
Knapik, A., Brzęk, A., Famuła-Wąż, A., Gallert-Kopyto, W., Szydłak, D., Marcisz, C., & Plinta, R. (2019). The relationship between physical fitness and health self-assessment in elderly. Medicine (Baltimore), 98(25), e15984. https://doi.org/10.1097/md.0000000000015984
Kozey-Keadle, S., Libertine, A., Lyden, K., Staudenmayer, J., & Freedson, P. S. (2011). Validation of wearable monitors for assessing sedentary behavior. Medicine & Science in Sports & Exercise, 43(8), 1561-1567. https://doi.org/10.1249/MSS.0b013e31820ce174
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. Journal of Clinical Medicine, 8(4), 564. https://doi.org/10.3390/jcm8040564
Kwak, S., Lee, Y., Baek, S., & Shin, J. (2022). Effects of Subjective Health Perception on Health Behavior and Cardiovascular Disease Risk Factors in Patients with Prediabetes and Diabetes. International Journal of Environmental Research and Public Health, 19(13), 7900. https://doi.org/10.3390/ijerph19137900
Kyle, U. G., Bosaeus, I., De Lorenzo, A. D., Deurenberg, P., Elia, M., Gómez, J. M., Heitmann, B. L., Kent-Smith, L., Melchior, J. C., Pirlich, M., Scharfetter, H., Schols, A. M., & Pichard, C. (2004). Bioelectrical impedance analysis--part I: review of principles and methods. Clinical Nutrition, 23(5), 1226-1243. https://doi.org/10.1016/j.clnu.2004.06.004
Lee, S., Shimada, H., Lee, S., Makizako, H., Doi, T., Harada, K., Bae, S., Harada, K., Hotta, R., Tsutsumimoto, K., Yoshida, D., Nakakubo, S., Anan, Y., Park, H., & Suzuki, T. (2017). Association between sedentary time and kidney function in community-dwelling elderly Japanese people. Geriatrics & Gerontology International, 17(5), 730-736. https://doi.org/10.1111/ggi.12779
Levy, B. R., Slade, M. D., Kunkel, S. R., & Kasl, S. V. (2002). Longevity increased by positive self-perceptions of aging. Journal of Personality and Social Psychology, 83(2), 261-270. https://doi.org/10.1037//0022-3514.83.2.261
Loprinzi, P. D., & Cardinal, B. J. (2011). Measuring children's physical activity and sedentary behaviors. Journal of exercise science & fitness, 9(1), 15-23. https://doi.org/10.1016/S1728-869X(11)60002-6
Lord, S., Chastin, S. F., McInnes, L., Little, L., Briggs, P., & Rochester, L. (2011). Exploring patterns of daily physical and sedentary behaviour in community-dwelling older adults. Age Ageing, 40(2), 205-210. https://doi.org/10.1093/ageing/afq166
Maher, J. P., Rebar, A. L., & Dunton, G. F. (2018). Ecological Momentary Assessment Is a Feasible and Valid Methodological Tool to Measure Older Adults' Physical Activity and Sedentary Behavior. Front Psychol, 9, 1485. https://doi.org/10.3389/fpsyg.2018.01485
Meier, N. F., & Lee, D. C. (2020). Physical activity and sarcopenia in older adults. Aging Clinical and Experimental Research, 32(9), 1675-1687. https://doi.org/10.1007/s40520-019-01371-8
Melville, C. A., Oppewal, A., Schäfer Elinder, L., Freiberger, E., Guerra-Balic, M., Hilgenkamp, T. I. M., Einarsson, I., Izquierdo-Gómez, R. H., Sansano-Nadal, O., Rintala, P., Cuesta-Vargas, A., & Giné-Garriga, M. (2017). Definitions, measurement and prevalence of sedentary behaviour in adults with intellectual disabilities - A systematic review. Preventive Medicine, 97, 62-71. https://doi.org/10.1016/j.ypmed.2016.12.052
Migueles, J. H., Cadenas-Sanchez, C., Ekelund, U., Delisle Nyström, C., Mora-Gonzalez, J., Löf, M., Labayen, I., Ruiz, J. R., & Ortega, F. B. (2017). Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations. Sports Medicine, 47(9), 1821-1845. https://doi.org/10.1007/s40279-017-0716-0
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. https://doi.org/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. https://doi.org/10.1016/j.amepre.2011.05.013
Paddon-Jones, D., Sheffield-Moore, M., Urban, R. J., Sanford, A. P., Aarsland, A., Wolfe, R. R., & Ferrando, A. A. (2004). Essential amino acid and carbohydrate supplementation ameliorates muscle protein loss in humans during 28 days bedrest. Journal of Clinical Endocrinology & Metabolism, 89(9), 4351-4358. https://doi.org/10.1210/jc.2003-032159
Pate, R. R., Pratt, M., Blair, S. N., Haskell, W. L., Macera, C. A., Bouchard, C., Buchner, D., Ettinger, W., Heath, G. W., & 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. Journal of the American Medical Association, 273(5), 402-407. https://doi.org/10.1001/jama.273.5.402
Prince, S. A., Cardilli, L., Reed, J. L., Saunders, T. J., Kite, C., Douillette, K., Fournier, K., & Buckley, J. P. (2020). A comparison of self-reported and device measured sedentary behaviour in adults: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity, 17(1), 31. https://doi.org/10.1186/s12966-020-00938-3
Rosenberg, D., Cook, A., Gell, N., Lozano, P., Grothaus, L., & Arterburn, D. (2015). Relationships between sitting time and health indicators, costs, and utilization in older adults. Preventive Medicine Reports, 2, 247-249. https://doi.org/10.1016/j.pmedr.2015.03.011
Sánchez-Sánchez, J. L., Mañas, A., García-García, F. J., Ara, I., Carnicero, J. A., Walter, S., & Rodríguez-Mañas, L. (2019). Sedentary behaviour, physical activity, and sarcopenia among older adults in the TSHA: isotemporal substitution model. Journal of Cachexia, Sarcopenia and Muscle, 10(1), 188-198. https://doi.org/10.1002/jcsm.12369
Smith, J. C., Nielson, K. A., Woodard, J. L., Seidenberg, M., Durgerian, S., Hazlett, K. E., Figueroa, C. M., Kandah, C. C., Kay, C. D., Matthews, M. A., & Rao, S. M. (2014). Physical activity reduces hippocampal atrophy in elders at genetic risk for Alzheimer's disease. Frontiers in Aging Neuroscience, 6, 61. https://doi.org/10.3389/fnagi.2014.00061
Smith, L., Fisher, A., & Hamer, M. (2015). Television viewing time and risk of incident obesity and central obesity: the English longitudinal study of ageing. BMC Obesity, 2, 12. https://doi.org/10.1186/s40608-015-0042-8
Spurr, G. B., Prentice, A. M., Murgatroyd, P. R., Goldberg, G. R., Reina, J. C., & Christman, N. T. (1988). Energy expenditure from minute-by-minute heart-rate recording: comparison with indirect calorimetry. American Journal of Clinical Nutrition, 48(3), 552-559. https://doi.org/10.1093/ajcn/48.3.552
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. https://doi.org/10.1016/j.ypmed.2011.10.009
Sugiyama, T., Healy, G. N., Dunstan, D. W., Salmon, J., & Owen, N. (2008). Is television viewing time a marker of a broader pattern of sedentary behavior? Annals of Behavioral Medicine, 35(2), 245-250. https://doi.org/10.1007/s12160-008-9017-z
Szybalska, A., Broczek, K., Puzianowska-Kuznicka, M., Slusarczyk, P., Chudek, J., Skalska, A., & Mossakowska, M. (2018). Self-rated health and its association with all-cause mortality of older adults in Poland: The PolSenior project. Archives of Gerontology and Geriatrics, 79, 13-20. https://doi.org/10.1016/j.archger.2018.07.016
Tamayo-Fonseca, N., Quesada, J. A., Nolasco, A., Melchor, I., Moncho, J., Pereyra-Zamora, P., López, R., Calabuig, J., & Barber, X. (2013). Self-rated health and mortality: a follow-up study of a Spanish population. Public Health, 127(12), 1097-1104. https://doi.org/10.1016/j.puhe.2013.09.003
Troiano, R. P., Berrigan, D., Dodd, K. W., Mâsse, L. C., Tilert, T., & McDowell, M. (2008). Physical activity in the United States measured by accelerometer. Medicine & Science in Sports & Exercise, 40(1), 181-188. https://doi.org/10.1249/mss.0b013e31815a51b3
Urda, J. L., Larouere, B., Verba, S. D., & Lynn, J. S. (2017). Comparison of subjective and objective measures of office workers' sedentary time. Preventive Medicine Reports, 8, 163-168. https://doi.org/10.1016/j.pmedr.2017.10.004
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. https://doi.org/10.1186/1471-2458-14-734
Van Dyck, D., Cardon, G., Deforche, B., Owen, N., Sallis, J. F., & De Bourdeaudhuij, I. (2010). Neighborhood walkability and sedentary time in Belgian adults. American Journal of Preventive Medicine, 39(1), 25-32. https://doi.org/10.1016/j.amepre.2010.03.004
Verdú, E., Homs, J., & Boadas-Vaello, P. (2021). Physiological Changes and Pathological Pain Associated with Sedentary Lifestyle-Induced Body Systems Fat Accumulation and Their Modulation by Physical Exercise. International Journal of Environmental Research and Public Health, 18(24). https://doi.org/10.3390/ijerph182413333
Ward, L. C. (2019). Bioelectrical impedance analysis for body composition assessment: reflections on accuracy, clinical utility, and standardisation. European Journal of Clinical Nutrition, 73(2), 194-199. https://doi.org/10.1038/s41430-018-0335-3
Winkler, E. A., Bodicoat, D. H., Healy, G. N., Bakrania, K., Yates, T., Owen, N., Dunstan, D. W., & Edwardson, C. L. (2016). Identifying adults' valid waking wear time by automated estimation in activPAL data collected with a 24 h wear protocol. Physiological Measurement, 37(10), 1653-1668. https://doi.org/10.1088/0967-3334/37/10/1653
Wilson, O. W. A., Galascio, M. M., & Bopp, M. (2021). Freshmen weight and body composition change determinants: A scoping review. Journal of American College Health, 69(3), 298-307. https://doi.org/10.1080/07448481.2019.1665053
Zamboni, M., Mazzali, G., Fantin, F., Rossi, A., & Di Francesco, V. (2008). Sarcopenic obesity: a new category of obesity in the elderly. Nutrition, Metabolism, and Cardiovascular Diseases, 18(5), 388-395. https://doi.org/10.1016/j.numecd.2007.10.002