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研究生:廖哲緯
研究生(外文):Che-Wei Liao
論文名稱:懷孕母親輪班作業與孩童早期肥胖、代謝疾病之關係探討
論文名稱(外文):Association between maternal shift work during pregnancy and child overweight, metabolic outcomes in early childhood
指導教授:陳保中陳保中引用關係
指導教授(外文):Pau-Chung Chen
口試委員:蘇大成陳美惠林育正楊孝友
口試委員(外文):Ta-chen SuMei-Huei ChenYu-Cheng LinHSIAO-YU YANG
口試日期:2021-05-14
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:環境與職業健康科學研究所
學門:醫藥衛生學門
學類:公共衛生學類
論文種類:學術論文
論文出版年:2021
畢業學年度:109
語文別:英文
論文頁數:60
中文關鍵詞:輪班作業體重過重肥胖胰島素阻抗懷孕期間
外文關鍵詞:shift workoverweightinsulin resistanceHOMA-IRduring pregnancy
DOI:10.6342/NTU202101329
相關次數:
  • 被引用被引用:1
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  • 下載下載:23
  • 收藏至我的研究室書目清單書目收藏:0
研究背景:過去已有許多文獻指出,母親在懷孕過程中從事輪班作業可能與一些生殖危害有關,包含胎兒低出生體重、早產、流產、神經行為發展遲緩等等,也有部分文獻指出會導致兒童在發育過程中較易出現肥胖情形,但跟肥胖相關聯的代謝症候群因子,例如胰島素抗性、血脂肪異常等,則鮮少有文獻提及。本研究著眼於探討母親在懷孕過程中從事輪班作業與兒童肥胖、代謝症候群的關聯,並放入飲食、運動、其他個人因素等干擾因子一併納入探討。
方法:本研究針對台灣出生世代長期追蹤研究 II (Taiwan Birth Panel Study II, TBPS II),收集於2011至2012年出生之嬰兒,於2018年做後續追蹤,著重於探討產前及產後母親、嬰兒、及幼兒時期之健康情形與相關健康風險暴露之相關性;研究中透過追蹤檢查時測量之孩童身高、體重,以及抽血資料中測得之血糖、胰島素、血脂肪等資料,並透過結構化問卷評估母親及幼兒之家庭背景、飲食情況、及環境因子等;統計部分使用單變量及多變量之線性及羅吉斯迴歸,調整潛在干擾因子,以評估母親在懷孕過程中從事輪班作業與兒童肥胖、代謝症候群因子,例如胰島素阻抗(HOMA-IR)、血脂肪異常的關聯。
結果:本研究共納入407對母親及幼兒。透過流程圖做嚴謹的篩選分組,經調整干擾因子後之模型顯示,母親在懷孕過程中從事輪班作業,與兒童體重上升、過重與肥胖、胰島素阻抗(HOMA-IR)數值較高等風險皆有關連,此關聯性亦在排除體重過輕小孩的子族群中出現。而在比較母親在懷孕前從事輪班作業時,並沒有以上提及之發現。
結論:本研究顯示母親在懷孕過程中從事輪班作業,可能會與兒童體重上升、過重與肥胖、胰島素阻抗有關。
Background: Previous studies founded that maternal shift-work during pregnancy was associated with many reproductive hazards, including small for gestational age, preterm birth, still birth, neurodevelopmental impairment. Some studies also showed these children are more likely to become overweight in early childhood. But the association with metabolic factors, such as insulin resistance, dyslipidemia were less studied. Hence, we aimed to gain a better understanding of the relationship between maternal shift-work during pregnancy and risk of child overweight, metabolic disorders. Confounding factors including diet, exercise, and demographical factors were also discussed.
Methods: We enrolled pregnant women before delivery into Taiwan Birth Panel Study II, TBPS II in 2011-2012, and followed the children of these participants in 2018. The study is to investigate prenatal and postnatal factors on infant and early childhood health. During the follow-up in 2018, we checked children’s demographic data, and obtained blood specimens, checked blood sugar, blood insulin, lipid profile of the children. Structured questionnaires were used to evaluate demographic data. multivariate linear and logistic regressions were used to examine the associations between maternal shift-work during pregnancy and child overweight, metabolic disorders, such as HOMA-IR, lipid profiles.
Result: In this study, 407 mother-children pairs with different work shifts (350 day workers and 57 shift workers) were included, and a subpopulation without underweight children was also created (290 day workers, 47 shift workers). Shift-work during pregnancy was associated with higher Homeostasis Model Assessment-Insulin Resistance index (HOMA-IR) and higher odds ratio for overweight in children of shift-work during pregnancy after adjusted. If we investigated the effect of shift-work before pregnancy, the findings were attenuated.
Conclusions: Our study suggested that maternal shift-work during pregnancy was associated with child overweight and insulin resistance in early childhood.
口試委員會審訂書.................................................................... 1
誌謝................................................................................2
中文摘要 ...........................................................................3
英文摘要 .......................................................................... 5
目錄.............................................................................. 7
Chapter 1. Introduction........................................................... 8
Chapter 2. Material and method................................................... 12
2.1. Study population and data collection........................................ 12
2.2. Measurement of neurocognitive function...................................... 13
2.3. Measurement of birth outcome and general health conditions.................. 14
2.4. Measurement of metabolic factors............................................ 15
2.5. Confounding variables ...................................................... 17
2.6. Statistical analysis ....................................................... 19
Chapter 3. Results............................................................... 21
3.1. Baseline characteristics of the population .................................. 21
3.2. Health outcome of the children at Birth and 7 years old ..................... 23
3.3. linear and logistic regression of child birth outcome........................ 24
3.4. Maternal shift work during pregnancy and child outcome at seven years old follow up – linear regression ….…………………………………….……………. 25
3.5. Maternal shift work during pregnancy and child outcome at seven years old follow up – logistic regression ……………………………………………………. 26
3.6. Sensitivity analysis: Maternal shift work before pregnancy and child health outcome........................................................................... 28
3.7. Sensitivity analysis for other covariates.................................... 29
3.8. Sensitivity analysis for regression models: Model fit and collinearity....... 31
Chapter 4. Discussion............................................................. 32
Chapter 5. Conclusions............................................................ 40
Chapter 6. Conflict of interests.................................................. 40
Figure 1 ......................................................................... 41
Table 1........................................................................... 42
Table 2........................................................................... 43
Table 3........................................................................... 44
Table 4........................................................................... 45
Table 5........................................................................... 46
Supplementary Table S1 ........................................................ 47
Supplementary Table S2 ........................................................ 48
Supplementary Table S3 ........................................................ 49
Supplementary Table S4 ........................................................ 50
Supplementary Table S5 ........................................................ 51
Supplementary Table S6 ....................................................... 52
Supplementary Table S7 ................................................... 53 References........................................................................ 54
Alberti, K. G., Zimmet, P., & Shaw, J. (2006). Metabolic syndrome--a new world-wide definition. A Consensus Statement from the International Diabetes Federation. Diabet Med, 23(5), 469-480. doi:10.1111/j.1464-5491.2006.01858.x
Alterman, T., Luckhaupt, S. E., Dahlhamer, J. M., Ward, B. W., & Calvert, G. M. (2013). Prevalence rates of work organization characteristics among workers in the U.S.: data from the 2010 National Health Interview Survey. Am J Ind Med, 56(6), 647-659. doi:10.1002/ajim.22108
Autier, P., Boniol, M., Pizot, C., & Mullie, P. (2014). Vitamin D status and ill health: a systematic review. Lancet Diabetes Endocrinol, 2(1), 76-89. doi:10.1016/s2213-8587(13)70165-7
Bacha, F., Saad, R., Gungor, N., & Arslanian, S. A. (2006). Are obesity-related metabolic risk factors modulated by the degree of insulin resistance in adolescents? Diabetes Care, 29(7), 1599-1604. doi:10.2337/dc06-0581
Barclay, K., & Myrskylä, M. (2016). Maternal age and offspring health and health behaviours in late adolescence in Sweden. SSM Popul Health, 2, 68-76. doi:10.1016/j.ssmph.2016.02.012
Bonora, E., Targher, G., Alberiche, M., Bonadonna, R. C., Saggiani, F., Zenere, M. B., . . . Muggeo, M. (2000). Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: studies in subjects with various degrees of glucose tolerance and insulin sensitivity. Diabetes Care, 23(1), 57-63. doi:10.2337/diacare.23.1.57
Bonzini, M., Palmer, K. T., Coggon, D., Carugno, M., Cromi, A., & Ferrario, M. M. (2011). Shift work and pregnancy outcomes: a systematic review with meta-analysis of currently available epidemiological studies. Bjog, 118(12), 1429-1437. doi:10.1111/j.1471-0528.2011.03066.x
Case, C. C., Jones, P. H., Nelson, K., O'Brian Smith, E., & Ballantyne, C. M. (2002). Impact of weight loss on the metabolic syndrome. Diabetes Obes Metab, 4(6), 407-414. doi:10.1046/j.1463-1326.2002.00236.x
Champion, S. L., Rumbold, A. R., Steele, E. J., Giles, L. C., Davies, M. J., & Moore, V. M. (2012). Parental work schedules and child overweight and obesity. Int J Obes (Lond), 36(4), 573-580. doi:10.1038/ijo.2011.252
Chen, H. J., Li, G. L., Sun, A., Peng, D. S., Zhang, W. X., & Yan, Y. E. (2019). Age Differences in the Relationship between Secondhand Smoke Exposure and Risk of Metabolic Syndrome: A Meta-Analysis. Int J Environ Res Public Health, 16(8). doi:10.3390/ijerph16081409
Chen, L. C., Chowdhury, A., & Huffman, S. L. (1980). Anthropometric assessment of energy-protein malnutrition and subsequent risk of mortality among preschool aged children. Am J Clin Nutr, 33(8), 1836-1845. doi:10.1093/ajcn/33.8.1836
Cheng, Y., Chen, I. S., Burr, H., Chen, C. J., & Chiang, T. L. (2014). Changes in psychosocial work conditions in Taiwanese employees by gender and age from 2001 to 2010. J Occup Health, 55(5), 323-332. doi:10.1539/joh.12-0286-oa
Cipolla-Neto, J., & Amaral, F. G. D. (2018). Melatonin as a Hormone: New Physiological and Clinical Insights. Endocr Rev, 39(6), 990-1028. doi:10.1210/er.2018-00084
Coppeta, L., Papa, F., & Magrini, A. (2018). Are Shiftwork and Indoor Work Related to D3 Vitamin Deficiency? A Systematic Review of Current Evidences. J Environ Public Health, 2018, 8468742. doi:10.1155/2018/8468742
Cornier, M. A., Dabelea, D., Hernandez, T. L., Lindstrom, R. C., Steig, A. J., Stob, N. R., . . . Eckel, R. H. (2008). The metabolic syndrome. Endocr Rev, 29(7), 777-822. doi:10.1210/er.2008-0024
DeFronzo, R. A., Tobin, J. D., & Andres, R. (1979). Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol, 237(3), E214-223. doi:10.1152/ajpendo.1979.237.3.E214
Després, J. P., & Lemieux, I. (2006). Abdominal obesity and metabolic syndrome. Nature, 444(7121), 881-887. doi:10.1038/nature05488
Dhana, K., Zong, G., Yuan, C., Schernhammer, E., Zhang, C., Wang, X., . . . Sun, Q. (2018). Lifestyle of women before pregnancy and the risk of offspring obesity during childhood through early adulthood. Int J Obes (Lond), 42(7), 1275-1284. doi:10.1038/s41366-018-0052-y
Eckel, R. H., Grundy, S. M., & Zimmet, P. Z. (2005). The metabolic syndrome. Lancet, 365(9468), 1415-1428. doi:10.1016/s0140-6736(05)66378-7
Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report. (2011). Pediatrics, 128 Suppl 5(Suppl 5), S213-256. doi:10.1542/peds.2009-2107C
Ferrannini, E., & Mari, A. (1998). How to measure insulin sensitivity. J Hypertens, 16(7), 895-906. doi:10.1097/00004872-199816070-00001
Fischer, D., Lombardi, D. A., Folkard, S., Willetts, J., & Christiani, D. C. (2017). Updating the "Risk Index": A systematic review and meta-analysis of occupational injuries and work schedule characteristics. Chronobiol Int, 34(10), 1423-1438. doi:10.1080/07420528.2017.1367305
Gaillard, R., Rurangirwa, A. A., Williams, M. A., Hofman, A., Mackenbach, J. P., Franco, O. H., . . . Jaddoe, V. W. (2014). Maternal parity, fetal and childhood growth, and cardiometabolic risk factors. Hypertension, 64(2), 266-274. doi:10.1161/hypertensionaha.114.03492
Gan, Y., Yang, C., Tong, X., Sun, H., Cong, Y., Yin, X., . . . Lu, Z. (2015). Shift work and diabetes mellitus: a meta-analysis of observational studies. Occupational and Environmental Medicine, 72(1), 72-78. doi:10.1136/oemed-2014-102150
Gao, B., Zhang, L., & Zhao, M. (2016). Underweight but metabolically abnormal phenotype: Metabolic features and its association with cardiovascular disease. Eur J Intern Med, 29, 46-51. doi:10.1016/j.ejim.2015.11.020
Ghiasvand, M., Heshmat, R., Golpira, R., Haghpanah, V., Soleimani, A., Shoushtarizadeh, P., . . . Larijani, B. (2006). Shift working and risk of lipid disorders: a cross-sectional study. Lipids Health Dis, 5, 9. doi:10.1186/1476-511X-5-9
Harrington, J. (2001). Health effects of shift work and extended hours of work. Occupational and Environmental Medicine, 58(1), 68-72. doi:10.1136/oem.58.1.68
Hawkins, S. S., Cole, T. J., & Law, C. (2008). Maternal employment and early childhood overweight: findings from the UK Millennium Cohort Study. Int J Obes (Lond), 32(1), 30-38. doi:10.1038/sj.ijo.0803682
Holick, M. F. (2007). Vitamin D deficiency. N Engl J Med, 357(3), 266-281. doi:10.1056/NEJMra070553
Holick, M. F., Binkley, N. C., Bischoff-Ferrari, H. A., Gordon, C. M., Hanley, D. A., Heaney, R. P., . . . Weaver, C. M. (2011). Evaluation, treatment, and prevention of vitamin D deficiency: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab, 96(7), 1911-1930. doi:10.1210/jc.2011-0385
Hsieh, C. J., Hsieh, W. S., Su, Y. N., Liao, H. F., Jeng, S. F., Taso, F. M., . . . Chen, P. C. (2011). The Taiwan Birth Panel Study: a prospective cohort study for environmentally- related child health. BMC Res Notes, 4, 291. doi:10.1186/1756-0500-4-291
Hsieh, W. S., Wu, H. C., Jeng, S. F., Liao, H. F., Su, Y. N., Lin, S. J., . . . Chen, P. C. (2006). Nationwide singleton birth weight percentiles by gestational age in Taiwan, 1998-2002. Acta Paediatr Taiwan, 47(1), 25-33.
Kecklund, G., & Axelsson, J. (2016). Health consequences of shift work and insufficient sleep. Bmj, 355, i5210. doi:10.1136/bmj.i5210
Kim, D., Choy, Y. S., & Park, E. C. (2017). Association between secondhand smoke and glycemic control in adult diabetes patients. Prev Med, 94, 48-54. doi:10.1016/j.ypmed.2016.11.009
Li, H. T., Zhou, Y. B., & Liu, J. M. (2013). The impact of cesarean section on offspring overweight and obesity: a systematic review and meta-analysis. Int J Obes (Lond), 37(7), 893-899. doi:10.1038/ijo.2012.195
Li, J., Johnson, S. E., Han, W.-J., Andrews, S., Kendall, G., Strazdins, L., & Dockery, A. (2014). Parents’ Nonstandard Work Schedules and Child Well-Being: A Critical Review of the Literature. The Journal of Primary Prevention, 35(1), 53-73. doi:10.1007/s10935-013-0318-z
Lillioja, S., Mott, D. M., Spraul, M., Ferraro, R., Foley, J. E., Ravussin, E., . . . Bogardus, C. (1993). Insulin resistance and insulin secretory dysfunction as precursors of non-insulin-dependent diabetes mellitus. Prospective studies of Pima Indians. N Engl J Med, 329(27), 1988-1992. doi:10.1056/nejm199312303292703
Mancio, J., Leal, C., Ferreira, M., Norton, P., & Lunet, N. (2018). Does the association of prostate cancer with night-shift work differ according to rotating vs. fixed schedule? A systematic review and meta-analysis. Prostate Cancer Prostatic Dis, 21(3), 337-344. doi:10.1038/s41391-018-0040-2
Masters, A., Pandi-Perumal, S. R., Seixas, A., Girardin, J. L., & McFarlane, S. I. (2014). Melatonin, the Hormone of Darkness: From Sleep Promotion to Ebola Treatment. Brain Disord Ther, 4(1). doi:10.4172/2168-975x.1000151
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985). Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia, 28(7), 412-419. doi:10.1007/bf00280883
Mendez, N., Abarzua-Catalan, L., Vilches, N., Galdames, H. A., Spichiger, C., Richter, H. G., . . . Torres-Farfan, C. (2012). Timed maternal melatonin treatment reverses circadian disruption of the fetal adrenal clock imposed by exposure to constant light. PLoS One, 7(8), e42713. doi:10.1371/journal.pone.0042713
Mendez, N., Halabi, D., Spichiger, C., Salazar, E. R., Vergara, K., Alonso-Vasquez, P., . . . Torres-Farfan, C. (2016). Gestational Chronodisruption Impairs Circadian Physiology in Rat Male Offspring, Increasing the Risk of Chronic Disease. Endocrinology, 157(12), 4654-4668. doi:10.1210/en.2016-1282
Motamed, N., Miresmail, S. J., Rabiee, B., Keyvani, H., Farahani, B., Maadi, M., & Zamani, F. (2016). Optimal cutoff points for HOMA-IR and QUICKI in the diagnosis of metabolic syndrome and non-alcoholic fatty liver disease: A population based study. J Diabetes Complications, 30(2), 269-274. doi:10.1016/j.jdiacomp.2015.11.019
Nehme, P. A., Amaral, F. G., Middleton, B., Lowden, A., Marqueze, E., França-Junior, I., . . . Moreno, C. R. C. (2019). Melatonin profiles during the third trimester of pregnancy and health status in the offspring among day and night workers: A case series. Neurobiol Sleep Circadian Rhythms, 6, 70-76. doi:10.1016/j.nbscr.2019.04.001
Nielsen, H. B., Dyreborg, J., Hansen, Å. M., Hansen, J., Kolstad, H. A., Larsen, A. D., . . . Garde, A. H. (2019). Shift work and risk of occupational, transport and leisure-time injury. A register-based case-crossover study of Danish hospital workers. Safety Science, 120, 728-734. doi:https://doi.org/10.1016/j.ssci.2019.07.006
Palmer, K. T., Bonzini, M., Harris, E. C., Linaker, C., & Bonde, J. P. (2013). Work activities and risk of prematurity, low birth weight and pre-eclampsia: an updated review with meta-analysis. Occupational and Environmental Medicine, 70(4), 213-222. doi:10.1136/oemed-2012-101032
Pandi-Perumal, S. R., Srinivasan, V., Maestroni, G. J., Cardinali, D. P., Poeggeler, B., & Hardeland, R. (2006). Melatonin: Nature's most versatile biological signal? FEBS J, 273(13), 2813-2838. doi:10.1111/j.1742-4658.2006.05322.x
Papantoniou, K., Devore, E. E., Massa, J., Strohmaier, S., Vetter, C., Yang, L., . . . Schernhammer, E. S. (2018). Rotating night shift work and colorectal cancer risk in the nurses' health studies. Int J Cancer, 143(11), 2709-2717. doi:10.1002/ijc.31655
Proper, K. I., van de Langenberg, D., Rodenburg, W., Vermeulen, R. C. H., van der Beek, A. J., van Steeg, H., & van Kerkhof, L. W. M. (2016). The Relationship Between Shift Work and Metabolic Risk Factors: A Systematic Review of Longitudinal Studies. Am J Prev Med, 50(5), e147-e157. doi:10.1016/j.amepre.2015.11.013
Rewers, M., Zaccaro, D., D'Agostino, R., Haffner, S., Saad, M. F., Selby, J. V., . . . Savage, P. (2004). Insulin sensitivity, insulinemia, and coronary artery disease: the Insulin Resistance Atherosclerosis Study. Diabetes Care, 27(3), 781-787. doi:10.2337/diacare.27.3.781
Roberts, C. K., Hevener, A. L., & Barnard, R. J. (2013). Metabolic syndrome and insulin resistance: underlying causes and modification by exercise training. Compr Physiol, 3(1), 1-58. doi:10.1002/cphy.c110062
Rogers, R., Eagle, T. F., Sheetz, A., Woodward, A., Leibowitz, R., Song, M., . . . Eagle, K. A. (2015). The Relationship between Childhood Obesity, Low Socioeconomic Status, and Race/Ethnicity: Lessons from Massachusetts. Child Obes, 11(6), 691-695. doi:10.1089/chi.2015.0029
Romano, A., Vigna, L., Belluigi, V., Conti, D. M., Barberi, C. E., Tomaino, L., . . . Andersen, L. L. (2015). Shift work and serum 25-OH vitamin D status among factory workers in Northern Italy: Cross-sectional study. Chronobiol Int, 32(6), 842-847. doi:10.3109/07420528.2015.1048867
Sack, R. L., Lewy, A. J., Blood, M. L., Keith, L. D., & Nakagawa, H. (1992). Circadian rhythm abnormalities in totally blind people: incidence and clinical significance. J Clin Endocrinol Metab, 75(1), 127-134. doi:10.1210/jcem.75.1.1619000
Schernhammer, E. S., Laden, F., Speizer, F. E., Willett, W. C., Hunter, D. J., Kawachi, I., . . . Colditz, G. A. (2003). Night-shift work and risk of colorectal cancer in the nurses' health study. J Natl Cancer Inst, 95(11), 825-828. doi:10.1093/jnci/95.11.825
Stocker, L. J., Macklon, N. S., Cheong, Y. C., & Bewley, S. J. (2014). Influence of shift work on early reproductive outcomes: a systematic review and meta-analysis. Obstet Gynecol, 124(1), 99-110. doi:10.1097/aog.0000000000000321
Straif, K., Baan, R., Grosse, Y., Secretan, B., El Ghissassi, F., Bouvard, V., . . . Cogliano, V. (2007). Carcinogenicity of shift-work, painting, and fire-fighting. Lancet Oncol, 8(12), 1065-1066. doi:10.1016/s1470-2045(07)70373-x
Strohmaier, S., Devore, E. E., Vetter, C., Missmer, S., Heather Eliassen, A., Rosner, B., . . . Schernhammer, E. S. (2018). Night Shift Work Before and During Pregnancy and Offspring Weight Outcomes Through Adolescence. Obesity (Silver Spring), 26(9), 1491-1500. doi:10.1002/oby.22267
Torres-Farfan, C., Valenzuela, F. J., Mondaca, M., Valenzuela, G. J., Krause, B., Herrera, E. A., . . . Seron-Ferre, M. (2008). Evidence of a role for melatonin in fetal sheep physiology: direct actions of melatonin on fetal cerebral artery, brown adipose tissue and adrenal gland. J Physiol, 586(16), 4017-4027. doi:10.1113/jphysiol.2008.154351
Varcoe, T. J., Wight, N., Voultsios, A., Salkeld, M. D., & Kennaway, D. J. (2011). Chronic phase shifts of the photoperiod throughout pregnancy programs glucose intolerance and insulin resistance in the rat. PLoS One, 6(4), e18504. doi:10.1371/journal.pone.0018504
Voiculescu, S. E., Zygouropoulos, N., Zahiu, C. D., & Zagrean, A. M. (2014). Role of melatonin in embryo fetal development. J Med Life, 7(4), 488-492.
Vyas, M. V., Garg, A. X., Iansavichus, A. V., Costella, J., Donner, A., Laugsand, L. E., . . . Hackam, D. G. (2012). Shift work and vascular events: systematic review and meta-analysis. BMJ : British Medical Journal, 345, e4800. doi:10.1136/bmj.e4800
Wacker, M., & Holick, M. F. (2013). Sunlight and Vitamin D: A global perspective for health. Dermatoendocrinol, 5(1), 51-108. doi:10.4161/derm.24494
Wagstaff, A. S., & Sigstad Lie, J. A. (2011). Shift and night work and long working hours--a systematic review of safety implications. Scand J Work Environ Health, 37(3), 173-185. doi:10.5271/sjweh.3146
Wei, C. F., Chen, M. H., Lin, C. C., Guo, Y. L., Lin, S. J., Liao, H. F., . . . Chen, P. C. (2019). Association between maternal shift work and infant neurodevelopmental outcomes: results from the Taiwan Birth Cohort Study with propensity-score-matching analysis. Int J Epidemiol, 48(5), 1545-1555. doi:10.1093/ije/dyz045
Wright, K. P., Jr., Bogan, R. K., & Wyatt, J. K. (2013). Shift work and the assessment and management of shift work disorder (SWD). Sleep Med Rev, 17(1), 41-54. doi:10.1016/j.smrv.2012.02.002
Zhao, Y., Richardson, A., Poyser, C., Butterworth, P., Strazdins, L., & Leach, L. S. (2019). Shift work and mental health: a systematic review and meta-analysis. International Archives of Occupational and Environmental Health, 92(6), 763-793. doi:10.1007/s00420-019-01434-3
Zimmet, P., Alberti, G., Kaufman, F., Tajima, N., Silink, M., Arslanian, S., . . . Caprio, S. (2007). The metabolic syndrome in children and adolescents. The Lancet, 369(9579), 2059-2061. doi:https://doi.org/10.1016/S0140-6736(07)60958-1
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