請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/104938完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 劉貞佑 | zh_TW |
| dc.contributor.advisor | Chen-Yu Liu | en |
| dc.contributor.author | 普可莉 | zh_TW |
| dc.contributor.author | Lydia Pless | en |
| dc.date.accessioned | 2026-09-03T16:05:29Z | - |
| dc.date.available | 2026-09-04 | - |
| dc.date.copyright | 2026-09-03 | - |
| dc.date.issued | 2026 | - |
| dc.date.submitted | 2026-08-25 14:24:06 | - |
| dc.identifier.citation | Anderson, G., Bell, M., & Peng, R. (2013). Methods to calculate the heat index as an exposure metric in environmental health research. Environmental Health Perspectives, 121(10). https://doi.org/10.1289/ehp.1206273
Andreotti, G., Hoppin, J. A., Hou, L., Koutros, S., Gadalla, S. M., Savage, S. A., Lubin, J., Blair, A., Hoxha, M., Baccarelli, A., Sandler, D., Alavanja, M., & Freeman, L. E. B. (2015). Pesticide Use and Relative Leukocyte Telomere Length in the Agricultural Health Study. PLOS ONE, 10(7). https://doi.org/10.1371/journal.pone.0133382 Aubert, G., & Lansdorp, P. M. (2008). Telomeres and Aging. Physiological Reviews, 88(2). https://doi.org/10.1152/physrev.00026.2007 Bárcena, C., Mayoral, P., & Quirós, P. (2018). Mitohormesis, an Antiaging Paradigm. International review of cell and molecular biology, 340. https://doi.org/10.1016/bs.ircmb.2018.05.002 Boudreault, J., Campagna, C., & Chebana, F. (2023). Machine and deep learning for modelling heat-health relationships. Science of The Total Environment, 892. https://doi.org/10.1016/j.scitotenv.2023.164660 Castellani, C. A., Longchamps, R. J., Sun, J., Guallar, E., & Arking, D. E. (2020). Thinking outside the nucleus: mitochondrial DNA copy number in health and disease. Mitochondrion, 53. https://doi.org/10.1016/j.mito.2020.06.004 Cawthon, R. M. (2009). Telomere length measurement by a novel monochrome multiplex quantitative PCR method. Nucleic Acids Research, 37(3). https://doi.org/10.1093/nar/gkn1027 Chakravarti, D., LaBella, K. A., & DePinho, R. A. (2021). Telomeres: history, health, and hallmarks of aging. Cell, 184(2). https://doi.org/10.1016/j.cell.2020.12.028 Chiu, K.-C., Hsieh, M.-S., Huang, Y.-T., & Liu, C.-Y. (2024). Exposure to ambient temperature and heat index in relation to DNA methylation age: A population-based study in Taiwan. Environment International, 186. https://doi.org/10.1016/j.envint.2024.108581 Conte, M., Giuliani, C., Chiariello, A., Iannuzzi, V., Franceschi, C., & Salvioli, S. (2022). GDF15, an emerging key player in human aging. Ageing Research Reviews, 75. https://doi.org/10.1016/j.arr.2022.101569 Dolcini, J., Kioumourtzoglou, M., Cayir, A., Sanchez-Guerra, M., Brennan, K., Dereix, A., Coull, B., Spiro, A., Vokonas, P., Schwartz, J., & Baccarelli, A. (2020). Age and mitochondrial DNA copy number influence the association between outdoor temperature and cognitive function: Insights from the VA Normative Aging Study. Environmental epidemiology (Philadelphia, Pa.), 4(4). https://doi.org/10.1097/EE9.0000000000000108 Ebi, K. L., Capon, A., Berry, P., Broderick, C., Dear, R. d., Havenith, G., Honda, Y., Kovats, R. S., Ma, W., Malik, A., Morris, N. B., Nybo, L., Seneviratne, S. I., Vanos, J., & Jay, O. (2021). Hot weather and heat extremes: health risks. The Lancet, 398(10301). https://doi.org/10.1016/S0140-6736(21)01208-3 Filograna, R., Mennuni, M., Alsina, D., & Larsson, N. (2021). Mitochondrial DNA copy number in human disease: the more the better? FEBS letters, 595(8). https://doi.org/10.1002/1873-3468.14021 Flouris, A., Azzi, M., Graczyk, H., Nafradi, B., & Scott, N. (2024). Heat at Work: Implications for Safety and Health. A Global Review of the Science, Policy and Practice. Fluhler, E., Vazvaei, F., Singhal, P., Vinck, P., Li, W., Bhatt, J., Boer, T. d., Chaudhary, A., Tangiuchi, M., Rezende, V., & Zhong, D. (2014). Repeat Analysis and Incurred Sample Reanalysis: Recommendation for Best Practices and Harmonization from the Global Bioanalysis Consortium Harmonization Team. The AAPS Journal, 16(6). https://doi.org/10.1208/s12248-014-9644-1 Fox, J., & Monette, G. (1992). Generalized collinearity diagnostics. Journal of the American Statistical Association, 87(417), 178–183. Fox, J., & Weisberg, S. (2019). An R Companion to Applied Regression. SAGE Publications. https://www.john-fox.ca/Companion/ Gasparrini, A., Guo, Y., Hashizume, M., Kinney, P., Petkova, E., Lavigne, E., Zanobetti, A., Schwartz, J., Tobias, A., Leone, M., Tong, S., Honda, Y., Kim, H., & Armstrong, B. (2015). Temporal Variation in Heat-Mortality Associations: A Multicountry Study. Environmental Health Perspectives, 123(11). https://doi.org/10.1289/ehp.1409070 Gasparrini, A., Guo, Y., Hashizume, M., Lavigne, E., Zanobetti, A., Schwartz, J., Tobias, A., Tong, S., Rocklöv, J., Forsberg, B., Leone, M., De Sario, M., Bell, M., Guo, Y., Wu, C., Kan, H., Yi, S., de Sousa Zanotti Stagliorio Coelho, M., Saldiva, P.,…Armstrong, B. (2015). Mortality risk attributable to high and low ambient temperature: a multicountry observational study. Lancet (London, England), 386(9991). https://doi.org/10.1016/S0140-6736(14)62114-0 Graffy, P. M., Sunderraj, A., Visa, M. A., Miller, C. H., Barrett, B. W., Rao, S., Camilleri, S. F., Harp, R. D., Li, C., Brenneman, A., Chan, J., Kho, A., Allen, N., & Horton, D. E. (2024). Methodological Approaches for Measuring the Association Between Heat Exposure and Health Outcomes: A Comprehensive Global Scoping Review. GeoHealth, 8(9). https://doi.org/10.1029/2024GH001071 Haas, R. H. (2019). Mitochondrial Dysfunction in Aging and Diseases of Aging. Biology 2019, Vol. 8,, 8(2). https://doi.org/10.3390/biology8020048 Hayflick, L., & Moorhead, P. (1961). The serial cultivation of human diploid cell strains. Experimental cell research, 25(3). https://doi.org/10.1016/0014-4827(61)90192-6 He, W., Yang, J. Y., Drury, C. F., Smith, W. N., Grant, B. B., He, P., Qian, B., Zhou, W., & Hoogenboom, G. (2018). Estimating the impacts of climate change on crop yields and N2O emissions for conventional and no-tillage in Southwestern Ontario, Canada. Agricultural Systems, 159. https://doi.org/10.1016/j.agsy.2017.01.025 Hickey, A. J. R., Harford, A. R., Blier, P. U., & Devaux, J. B. (2024). What causes cardiac mitochondrial failure at high environmental temperatures? Journal of Experimental Biology, 227(20). https://doi.org/10.1242/jeb.247432 Hiemstra, P. H., Pebesma, E. J., Twenhöfel, C. J. W., & Heuvelink, G. B. M. (2009). Real-time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network. Computers & Geosciences, 35(8). https://doi.org/10.1016/j.cageo.2008.10.011 Hsieh, A. Y., Saberi, S., Ajaykumar, A., Hukezalie, K., Gadawski, I., Sattha, B., & Côté, H. C. (2016). Optimization of a Relative Telomere Length Assay by Monochromatic Multiplex Real-Time Quantitative PCR on the LightCycler 480: Sources of Variability and Quality Control Considerations. The Journal of Molecular Diagnostics : JMD, 18(3). https://doi.org/10.1016/j.jmoldx.2016.01.004 Iba, T., Helms, J., Nagaoka, I., Ferrer, R., & Levy, J. H. (2025). Heat stress-induced mitochondrial damage and its impact on leukocyte function. Journal of Intensive Care, 13(1). https://doi.org/10.1186/s40560-025-00832-9 King-Hudson, T.-R. J., Pearson, A. G., Dunstan-Harrison, C., Powell, M. T., Magon, N. J., Edwards, T. S., Paton, L. N., Tang, J. S., Kettle, A. J., Pearson, J. F., Kokaua, J., Guiney, H., Theodore, R., Ramrakha, S., Poulton, R., Moffitt, T. E., Ledgerwood, E. C., & Hampton, M. B. (2025). Biomarkers of Oxidative and Mitochondrial Stress Are Associated With Accelerated Pace of Aging at Midlife in a Birth Cohort. The Journals of Gerontology: Series A, 80(7). https://doi.org/10.1093/gerona/glaf105 Lee, K. M., Park, S.-Y., Lee, K., Oh, S.-S., & Ko, S. B. (2017). Pesticide metabolite and oxidative stress in male farmers exposed to pesticide. Annals of Occupational and Environmental Medicine, 29(1). https://doi.org/10.1186/s40557-017-0162-3 Lindsey, R., & Dahlman, L. (2024). Climate change: Global temperature. NOAA Climate. https://www.climate.gov/news-features/understanding-climate/climate-change-global-temperature López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2013). The Hallmarks of Aging. Cell, 153(6). https://doi.org/10.1016/j.cell.2013.05.039 López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2023). Hallmarks of aging: An expanding universe. Cell, 186(2). https://doi.org/10.1016/j.cell.2022.11.001 Luo, Y., Zhang, Y., Liu, T., Rutherford, S., Xu, Y., Xu, X., Wu, W., Xiao, J., Zeng, W., Chu, C., & Ma, W. (2013). Lagged Effect of Diurnal Temperature Range on Mortality in a Subtropical Megacity of China. PLOS ONE, 8(2). https://doi.org/10.1371/journal.pone.0055280 Marder, J. (2025). How do scientists measure global temperature? NASA. https://science.nasa.gov/earth/measuring_global_temperature/#collect Martens, D. S., Plusquin, M., Cox, B., & Nawrot, T. S. (2019). Early Biological Aging and Fetal Exposure to High and Low Ambient Temperature: A Birth Cohort Study. Environmental Health Perspectives, 127(11). https://doi.org/10.1289/EHP5153 Mooney, S. J., Bader, M. D., Lovasi, G. S., Neckerman, K. M., Rundle, A. G., & Teitler, J. O. (2020). Using universal kriging to improve neighborhood physical disorder measurement. Sociological methods & research, 49(4). https://doi.org/10.1177/0049124118769103 Ni, W., Wolf, K., Breitner, S., Zhang, S., Nikolaou, N., Ward-Caviness, C. K., Waldenberger, M., Gieger, C., Peters, A., & Schneider, A. (2022). Higher Daily Air Temperature Is Associated with Shorter Leukocyte Telomere Length: KORA F3 and KORA F4. Environmental Science & Technology, 56(24). https://doi.org/10.1021/acs.est.2c04486 Olovnikov, A. M. (1996). Telomeres, telomerase, and aging: origin of the theory. Experimental gerontology, 31(4). https://doi.org/10.1016/0531-5565(96)00005-8 Pebesma, E., & Bivand, R. S. (2005). S classes and methods for spatial data: the sp package. R news, 5(2), 9-13. Pebesma, E. J. (2004). Multivariable geostatistics in S: the gstat package. Computers & Geosciences, 30(7). https://doi.org/10.1016/j.cageo.2004.03.012 Pedersen, M., Gehring, U., Beelen, R., Wang, M., Giorgis-Allemand, L., Andersen, A.-M. N., Basagaña, X., Bernard, C., Cirach, M., & Forastiere, F. (2016). Elemental constituents of particulate matter and newborn’s size in eight European cohorts. Environmental Health Perspectives, 124(1), 141. Peng, C., Sanchez-Guerra, M., Wilson, A., Mehta, A. J., Zhong, J., Zanobetti, A., Brennan, K., Dereix, A. E., Coull, B. A., Vokonas, P., Schwartz, J., & Baccarelli, A. A. (2017). Short-term effects of air temperature and mitochondrial DNA lesions within an older population. Environment International, 103. https://doi.org/10.1016/j.envint.2017.03.017 Phillips, N. R., Sprouse, M. L., & Roby, R. K. (2014). Simultaneous quantification of mitochondrial DNA copy number and deletion ratio: A multiplex real-time PCR assay. Scientific Reports, 4(1). https://doi.org/10.1038/srep03887 Pieters, N., Janssen, B. G., Dewitte, H., Cox, B., Cuypers, A., Lefebvre, W., Smeets, K., Vanpoucke, C., Plusquin, M., & Nawrot, T. S. (2015). Biomolecular Markers within the Core Axis of Aging and Particulate Air Pollution Exposure in the Elderly: A Cross-Sectional Study. Environmental Health Perspectives, 124(7). https://doi.org/10.1289/ehp.1509728 Poulsen, N. S., Madsen, K. L., Hornsyld, T. M., Eisum, A.-S. V., Fornander, F., Buch, A. E., Stemmerik, M. G., Ruiz-Ruiz, C., Krag, T. O., & Vissing, J. (2020). Growth and differentiation factor 15 as a biomarker for mitochondrial myopathy. Mitochondrion, 50. https://doi.org/10.1016/j.mito.2019.10.005 Renaers, E., Wang, C., Bijnens, E. M., Plusquin, M., Nawrot, T. S., & Martens, D. S. (2025). Prenatal ambient temperature exposure and cord blood and placental mitochondrial DNA content: Insights from the ENVIRONAGE birth cohort study. Environment International, 196. https://doi.org/10.1016/j.envint.2025.109267 Rothfusz, L. P., & Headquarters, N. S. R. (1990). The heat index equation (or, more than you ever wanted to know about heat index). Fort Worth, Texas: National Oceanic and Atmospheric Administration, National Weather Service, Office of Meteorology, 9023, 640. Rowlingson, B. (2026). geonames: Interface to the "Geonames" Spatial Query Web Service. In (Version R package version 0.999) Sahin, E., & DePinho, R. A. (2010). Linking functional decline of telomeres, mitochondria and stem cells during ageing. Nature 2010 464:7288, 464(7288). https://doi.org/10.1038/nature08982 Sahin, E., & DePinho, R. A. (2012). Axis of ageing: telomeres, p53 and mitochondria. Nature Reviews Molecular Cell Biology 2012 13:6, 13(6). https://doi.org/10.1038/nrm3352 Seeker, L. A., Underwood, S. L., Wilbourn, R. V., Dorrens, J., Froy, H., Holland, R., Ilska, J. J., Psifidi, A., Bagnall, A., Whitelaw, B., Coffey, M., Banos, G., Nussey, D. H., Seeker, L. A., Underwood, S. L., Wilbourn, R. V., Dorrens, J., Froy, H., Holland, R.,…Nussey, D. H. (2021). Telomere attrition rates are associated with weather conditions and predict productive lifespan in dairy cattle. Scientific Reports 2021 11:1, 11(1). https://doi.org/10.1038/s41598-021-84984-2 Singh, K., Kumari, S., Ali, M., Das, M. K., Mishra, A., Singh, A. K., Singh, K., Kumari, S., Ali, M., Das, M. K., Mishra, A., & Singh, A. K. (2023). Association of transient mitochondrial functional impairment with acute heat exposure in children from Muzaffarpur region of Bihar, India. International Journal of Biometeorology 2023 67:12, 67(12). https://doi.org/10.1007/s00484-023-02555-8 Skowronska-Krawczyk, D. (2023). Hallmarks of Aging: Causes and Consequences. Aging Biology, 1(1). https://doi.org/10.59368/agingbio.20230011 Sourty, B., Dardaud, L.-M., Bris, C., Desquiret-Dumas, V., Boisselier, B., Basset, L., Figarella-Branger, D., Morel, A., Sanson, M., Procaccio, V., & Rousseau, A. (2022). Mitochondrial DNA copy number as a prognostic marker is age-dependent in adult glioblastoma. Neuro-oncology Advances, 4(1). https://doi.org/10.1093/noajnl/vdab191 Srinivas, N., Rachakonda, S., Kumar, R., Srinivas, N., Rachakonda, S., & Kumar, R. (2020). Telomeres and Telomere Length: A General Overview. Cancers 2020, Vol. 12,, 12(3). https://doi.org/10.3390/cancers12030558 Srivastava, S. (2017). The Mitochondrial Basis of Aging and Age-Related Disorders. Genes, 8(12). https://doi.org/10.3390/genes8120398 Stufano, A., Plantone, D., Ravallese, R., Sacino, G., Ravallese, R., Schino, V., Manco, C., Righi, D., Lucchese, G., Stefano, N. D., & Lovreglio, P. (2026). Heat stress and neurological biomarkers in outdoor workers: a cross-sectional observational study. Environmental Research, 288. https://doi.org/10.1016/j.envres.2025.123273 Tan, P.-H., & Tseng, Y.-C. (2012). The Characteristics of Temperature in Taiwan during 1997-2010 [The Characteristics of Temperature in Taiwan during 1997-2010]. 大氣科學, 40(4), 371-405. Tavenier, J., Rasmussen, L. J. H., Andersen, A. L., Houlind, M. B., Langkilde, A., Andersen, O., Petersen, J., & Nehlin, J. O. (2021). Association of GDF15 With Inflammation and Physical Function During Aging and Recovery After Acute Hospitalization: A Longitudinal Study of Older Patients and Age-Matched Controls. The Journals of Gerontology: Series A, 76(6). https://doi.org/10.1093/gerona/glab011 Trumpff, C., Huang, Q., Michelson, J., Liu, C. C., Shire, D., Habeck, C. G., Stern, Y., & Picard, M. (2025). Blood mitochondrial health markers cf-mtDNA and GDF15 in human aging. bioRxiv. https://doi.org/10.1101/2025.01.28.635306 Vaiserman, A., & Krasnienkov, D. (2021). Telomere Length as a Marker of Biological Age: State-of-the-Art, Open Issues, and Future Perspectives. Frontiers in Genetics, 11. https://doi.org/10.3389/fgene.2020.630186 Xia, C.-Y., Liu, Y., Yang, H.-R., Yang, H.-Y., Liu, J.-X., Ma, Y.-N., & Qi, Y. (2017). Reference Intervals of Mitochondrial DNA Copy Number in Peripheral Blood for Chinese Minors and Adults. Chinese Medical Journal, 130(20). https://doi.org/10.4103/0366-6999.216395 Xu, H., Brook, R. D., Wang, T., Song, X., Feng, B., Yi, T., Liu, S., Wu, R., Chen, J., Zhang, Y., Liu, S., Zhao, Q., Wang, Y., Zheng, L., Huo, Y., Rajagopalan, S., Li, J., & Huang, W. (2019). Short-term effects of ambient air pollution and outdoor temperature on biomarkers of myocardial damage, inflammation and oxidative stress in healthy adults. Environmental Epidemiology, 3(6). https://doi.org/10.1097/EE9.0000000000000078 Yan, X., Yang, P., Li, Y., Liu, T., Zha, Y., Wang, T., Zhang, J., Feng, Z., & Li, M. (2024). New insights from bidirectional Mendelian randomization: causal relationships between telomere length and mitochondrial DNA copy number in aging biomarkers. Aging, 16(8). https://doi.org/10.18632/aging.205765 Yu, J., Liu, Y., Zhang, H., Ping, F., Li, W., Xu, L., & Li, Y. (2025). Serum Growth Differentiation Factor 15 is Negatively Associated with Leukocyte Telomere Length. The Journal of nutrition, health and aging, 29(4). https://doi.org/10.1016/j.jnha.2025.100493 Zhu, Y., Liu, X., Ding, X., Wang, F., Geng, X., Zhu, Y., Liu, X., Ding, X., Wang, F., & Geng, X. (2019). Telomere and its role in the aging pathways: telomere shortening, cell senescence and mitochondria dysfunction. Biogerontology 2018 20:1, 20(1). https://doi.org/10.1007/s10522-018-9769-1 Zong, Y., Li, H., Liao, P., Chen, L., Pan, Y., Zheng, Y., Zhang, C., Liu, D., Zheng, M., Gao, J., Zong, Y., Li, H., Liao, P., Chen, L., Pan, Y., Zheng, Y., Zhang, C., Liu, D., Zheng, M., & Gao, J. (2024). Mitochondrial dysfunction: mechanisms and advances in therapy. Signal Transduction and Targeted Therapy 2024 9:1, 9(1). https://doi.org/10.1038/s41392-024-01839-8 | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/104938 | - |
| dc.description.abstract | 在氣候變遷的影響下,環境溫度持續上升,其中戶外工作者與農業工作者所承受之熱暴露負擔尤重,然而累積性熱暴露與分子層次老化之間的關聯,目前仍缺乏明確證據。本研究目的在於探討環境熱暴露與四項老化生物標記之關聯性,包括端粒長度(telomere length)、粒線體DNA套數(mitochondrial DNA copy number, mtDNA-CN)、粒線體DNA缺失比例(mtDNA deletion ratio),以及生長分化因子15(growth differentiation factor 15, GDF-15),研究對象為臺灣社區族群。本研究採社區為基礎之橫斷面研究設計,自2022年7月至2024年12月,於臺中、嘉義、彰化、南投及雲林等縣市共收案127位成人,其中69.3%為農業工作者。橫斷面熱暴露於受試者健檢時測量,包括環境溫度、室內與室外濕球黑球溫度(wet-bulb globe temperature, WBGT),以及日照下與從事體力勞動時之熱指數(heat index, HI);居住地每日溫度、相對濕度(relative humidity, RH)、熱指數與日夜溫差(diurnal temperature range, DTR),則採用87個氣象測站之觀測資料,以泛克利金空間內插法(universal kriging)重建受試者採樣日前365天之延遲期間暴露。端粒長度以單色多重定量聚合酶連鎖反應(monochrome multiplex qPCR)測定,粒線體DNA套數與缺失比例以qPCR測定,血漿GDF-15則以酵素連結免疫吸附法(enzyme-linked immunosorbent assay, ELISA)測定;統計分析採多元線性迴歸與分布式延遲非線性模式(distributed lag non-linear models, DLNMs),並校正年齡與性別,暴露時間窗涵蓋7至365天。結果顯示,實際年齡與端粒長度、粒線體DNA套數及GDF-15均呈顯著相關;相較於非農業工作者,農業工作者之端粒較短、粒線體DNA套數較低,且GDF-15濃度較高。於DLNMs分析中,較高之平均熱指數HI(mean)與最低熱指數HI(min)於21天及30天暴露時間窗與端粒縮短有關,較高之相對濕度亦於180天暴露時間窗與端粒縮短有關;反之,最低溫度T(min)與熱指數之日夜溫差DTR(HI)則與端粒長度呈正相關。GDF-15隨21天之最高溫度上升58.9%、隨30天之平均熱指數上升14.3%,其中又以累積相對濕度於180天(上升441.7%)及365天(上升912.8%)之效應最為顯著。粒線體相關指標之結果則較不一致:粒線體DNA套數隨最低溫度與相對濕度而上升,而缺失比例於365天暴露時間窗隨平均熱指數上升、隨日夜溫差下降。本研究結果顯示,累積性環境熱與濕度暴露與分子老化之關聯,主要呈現於中長期暴露時間窗而非急性暴露,且粒線體之反應可能反映代償性適應機制,可作為未來保障高齡化戶外工作族群健康之公共衛生介入依據。 | zh_TW |
| dc.description.abstract | Rising ambient temperatures under climate change disproportionately affect outdoor and agricultural workers, yet how cumulative heat exposure relates to molecular aging remains poorly characterized. This study examined the association between ambient heat exposure and four biomarkers of biological aging: telomere length, mitochondrial DNA copy number (mtDNA-CN), mtDNA deletion ratio, and growth differentiation factor 15 (GDF-15) in a community-based population in Taiwan. From July 2022 to December 2024, 127 adults were enrolled from Taichung, Chiayi, Changhua, Nantou, and Yunlin counties, of whom 69.3% were agricultural workers. Cross-sectional heat exposure, including ambient temperature, indoor and outdoor wet-bulb globe temperature, and heat index under direct sunlight and under physical labor, was measured at clinic visits, while daily residential temperature, relative humidity (RH), heat index (HI), and diurnal temperature range (DTR) were reconstructed over a 365-day lag period using universal kriging of data from 87 weather monitoring stations. Relative telomere length was measured by monochrome multiplex qPCR, mtDNA-CN and deletion ratio by qPCR, and plasma GDF-15 by ELISA. Multiple linear regression and distributed lag non-linear models (DLNMs), adjusted for age and sex, were fitted across exposure windows of 7 to 365 days. Chronological age was significantly correlated with telomere length, mtDNA-CN, and GDF-15, and farmers exhibited shorter telomeres, lower mtDNA-CN, and higher GDF-15 than non-farmers. In the DLNMs, higher HI(mean) and HI(min) were associated with telomere attrition at the 21- and 30-day windows, and higher RH with shorter telomeres at 180 days, whereas minimum temperature and DTR(HI) were positively associated with telomere length. GDF-15 increased with maximum temperature at 21 days (58.9%) and HI(mean) at 30 days (14.3%), with the largest increases observed for cumulative RH at 180 days (441.7%) and 365 days (912.8%). Mitochondrial measures were less consistent: mtDNA-CN rose with minimum temperature and RH, while the deletion ratio increased with HI(mean) and decreased with DTR over 365 days. These findings indicate that cumulative ambient heat and humidity exposure are associated with molecular aging over medium- to long-term windows rather than acutely, and that mitochondrial responses may reflect compensatory adaptation. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2026-09-03T16:05:29Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2026-09-03T16:05:29Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | Table of Content
MASTER'S THESIS ACCEPTANCE CERTIFICATE NATIONAL TAIWAN UNIVERSITY i Abstract & Keywords (Chinese) ii Abstract & Keywords (English) v Table of Content vii List of Tables viii List of Figures x Appendix xii Chapter 1. Introduction 1 1.1 Climate Change and Rising Ambient Temperature 1 1.2 Biological Aging 1 1.3 Telomere Attrition 3 1.4 Mitochondrial Dysfunction 4 1.5 Telomere-Mitochondrial Dysfunction-Aging Axis 5 1.6 Study Objectives 6 Chapter 2. Methodology 8 2.1 Study Population 8 2.2 Data Collection and Questionnaire 8 2.3 Heat Exposure Assessment 10 2.4 Sample Preparation 13 2.5 Telomere Length Measurement 13 2.6 Mitochondrial DNA Copy Number and Deletion Ratio Measurement 14 2.7 GDF-15 Measurement 15 2.8 Statistical Analyses 16 Chapter 3. Results 23 3.1 Participant Baseline Characteristics 23 3.2 Heat Exposure Characteristics 24 3.3 Heat Exposure and Biological Aging Biomarkers Linear Regression Models 26 3.4 Heat Exposure and Biological Aging Biomarkers Distributed Lag Non-Linear Models 27 3.5 Heat Exposure and Biological Aging Biomarkers Sensitivity Analysis 29 Chapter 4. Discussion 30 Chapter 5. Conclusion 36 References 37 Appendix 84 | - |
| dc.language.iso | en | - |
| dc.subject | 環境熱暴露 | - |
| dc.subject | 生物老化 | - |
| dc.subject | 端粒長度 | - |
| dc.subject | 粒線體DNA套數 | - |
| dc.subject | 生長分化因子15 | - |
| dc.subject | 分布式延遲非線性模式 | - |
| dc.subject | 農業工作者 | - |
| dc.subject | 臺灣 | - |
| dc.subject | ambient heat | - |
| dc.subject | biological aging | - |
| dc.subject | telomere length | - |
| dc.subject | mitochondrial DNA copy number | - |
| dc.subject | GDF-15 | - |
| dc.subject | distributed lag non-linear model | - |
| dc.subject | agricultural workers | - |
| dc.subject | Taiwan | - |
| dc.title | 環境溫度與老化相關分子生物標記之關聯性:以臺灣社區族群為研究對象 | zh_TW |
| dc.title | The Association Between Ambient Temperature and Molecular Aging Biomarkers in a Taiwanese Community-Based Population | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 114-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 楊孝友;吳亞克 | zh_TW |
| dc.contributor.oralexamcommittee | Hsiao-Yu Yang;Andrei Akhmetzhanov | en |
| dc.subject.keyword | 環境熱暴露; 生物老化; 端粒長度; 粒線體DNA套數; 生長分化因子15; 分布式延遲非線性模式; 農業工作者; 臺灣 | zh_TW |
| dc.subject.keyword | ambient heat; biological aging; telomere length; mitochondrial DNA copy number; GDF-15; distributed lag non-linear model; agricultural workers; Taiwan | en |
| dc.relation.page | 138 | - |
| dc.identifier.doi | 10.6342/NTU202604595 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2026-08-25 | - |
| dc.contributor.author-college | 公共衛生學院 | - |
| dc.contributor.author-dept | 全球衛生學位學程 | - |
| dc.date.embargo-lift | 2031-08-25 | - |
| 顯示於系所單位: | 全球衛生學位學程 | |
文件中的檔案:
| 檔案 | 描述 | 大小 | 格式 | |
|---|---|---|---|---|
| ntu-114-2.pdf 此日期後於網路公開 2031-08-25 | 20.52 MB | Adobe PDF | ||
| ntu-114-2.pdf 此日期後於網路公開 2031-08-25 | 20.52 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
