Effects of Gamitaeeumjowee-tang for Weight Loss in Overweight and Obese Shift Workers: A Retrospective Chart Review (original) (raw)

JKM > Volume 46(3); 2025 > Article Lee, Choi, Kang, Lim, and Kim: Effects of Gamitaeeumjowee-tang for Weight Loss in Overweight and Obese Shift Workers: A Retrospective Chart Review Original Article The Journal of Korean Medicine 2025; 46(3): 1-15. Published online: September 1, 2025 DOI: https://doi.org/10.13048/jkm.25030 Effects of Gamitaeeumjowee-tang for Weight Loss in Overweight and Obese Shift Workers: A Retrospective Chart Review Yunjin Lee1, §, Hyojoo Choi1, §, Jeong-In Kang1, Young-Woo Lim1, 2, Eunjoo Kim1, 2, * 1Nubebe Korean Medical Clinic Bundang Center 2Nubebe Obesity Research Institute Correspondence to: Eunjoo Kim, Nubebe Korean Medical Clinic Bundang Center, 10 Seongnam-daero, 926beon-gil, Bundang-gu, Seongnam 13506, Korea, Tel:+82-31-702-0045, Fax:+82-31-701-8993, E-mail:boggil82@gmail.com § These authors contributed equally to this work. Received May 30, 2025 Revised July 15, 2025 Accepted August 12, 2025 Abstract Objectives This study aimed to evaluate the weight loss effects and safety of Gamitaeeumjowee-tang in overweight and obese shift workers through a retrospective chart review. Methods A total of 27 shift workers with a body mass index (BMI) ≥23 kg/m2 who visited a Korean medicine obesity clinic for weight loss were included. Participants took Gamitaeeumjowee-tang for 12 weeks. Changes in body weight, body composition, blood pressure, and adverse events were assessed and compared with a control group of 33 non-shift workers. Results After 12 weeks of treatment, the shift worker group showed a significant reduction in body weight (6.63±3.37 kg, P<0.05), body fat mass (6.13±2.96 kg, P<0.05), BMI (2.52±1.28 kg/m2, P<0.05), and body fat rate (5.23 ± 3.18%p, P<0.05) along with a significant increase in skeletal muscle rate (2.92 ± 1.74%p, P<0.05). There were no significant differences in weight loss and body composition changes between the shift worker group and the non-shift worker group. When evaluating changes in blood pressure and pulse, only systolic blood pressure significantly decreased in the shift worker group (P=0.041). Most adverse events were mild, and no serious adverse reactions were reported. Conclusions Gamitaeeumjowee-tang appears to be a safe and effective option for weight management in overweight and obese shift workers without causing serious adverse events. Keywords: Shift worker, Overweight, Obesity, Weight loss, Gamitaeeumjowee-tang Fig. 1 Flow chart of dataset for analysis. jkm-46-3-1f1.gif Table 1 Composition of Gamitaeeumjowee-tang Ingredient Dose(g)/day Ephedra Herba 16.0~24.0 Rehmanniae Radix Preparat 8.0 Coicis Semen 8.0 Zingiberis Rhizoma Recens 4.0 Acori Gramineri Rhizoma 3.3 Zizyphi Semen 3.3 Alismatis Rhizoma 2.6 Scutellariae Radix 1.3 Schizandrae Fructus 1.3 Puerariae Radix 1.3 Asparagi Tuber 1.3 Angelicae Tenuissimae Radix 1.3 Longanae Arillus 1.3 Castanea Moliissima 1.3 Liriopis Tuber 1.3 Total amount 55.6~63.6 Table 2 Baseline Characteristics of Patients Characteristics Total (n=60) Shift workers (N= 27) Not shift workers (N= 33) P-value Age(year)* 36.82 ± 12.88 36.33 ± 11.70 37.21 ± 13.94 0.982 Weight (kg)* 75.60 ± 12.20 77.51 ± 14.02 74.04 ± 10.44 0.414 Body Fat mass (kg) 30.47 ± 6.65 30.64 ± 7.06 30.33 ± 6.41 0.858 Skeletal muscle mass(kg)* 24.77 ± 4.81 25.81 ± 5.79 23.92 ± 3.70 0.316 BMI (kg/m2 ) 28.87 ± 3.30 29.19 ± 3.73 28.62 ± 2.94 0.514 Systolic Blood Pressure (mmHg) 129.93 ± 10.96 132.67 ± 9.02 127.70 ± 12.00 0.080 Diastolic Blood Pressure (mmHg) 79.38 ± 10.16 80.26 ± 10.31 78.67 ± 10.15 0.550 Pulse (bpm) 84.05 ± 11.41 84.74 ± 10.51 83.48 ± 12.23 0.675 Data are expressed mean±standard deviation. * : Non-normally distributed data Table 3 Variable Changes Comparison between two groups Characteristics Shift workers (N= 27) Not shift workers (N= 33) P-value Weight (kg) 6.63 ± 3.37* 6.69 ± 2.57* 0.858 Weight loss rate (%)) 8.69 ± 4.38* 9.30 ± 3.97* 0.629 Skeletal muscle mass (kg) 0.24 ± 1.00 0.54 ± 0.74* 0.100 Body Fat mass (kg) 6.13 ± 2.96* 5.78 ± 2.29* 0.606 BMI (kg/m2 ) 2.52 ± 1.28* 2.62 ± 1.05* 0.746 Skeletal muscle rate(%p) 2.92 ± 1.74* 2.51 ± 1.42* 0.326 Body fat rate (%p) 5.23 ± 3.18* 4.73 ± 2.59* 0.503 Data are expressed mean±standard deviation. * P<0.05, paired t test or wilcoxon singed rank test / comparison within group before and after program Table 4 Changes in Blood Pressure and Pulse rate Initial value Final value P-value Shift workers (N= 27) Systolic Blood Pressure (mmHg) 132.67 ± 9.02 127.3 ± 12.25 0.041* Diastolic Blood Pressure (mmHg) 80.26 ± 10.31 78.70 ± 10.70 0.487 Pulse (bpm) 84.74 ± 10.51 91.48 ± 12.13 0.007* Not shift workers (N= 33) Systolic Blood Pressure (mmHg) 127.70 ± 12.00 126.33 ± 11.64 0.561 Diastolic Blood Pressure (mmHg) 78.67 ± 10.15 78.82 ± 8.71 0.928 Pulse (bpm) 83.48 ± 12.23 95.24 ± 12.19 <.001* Data are expressed mean±standard deviation. * P<0.05, paired t test. Table 5 Comparison of Categorical Variables between Shift workers and Not Shift workers Categorical variables Shift workers (N = 27) Not shift workers group (N = 33) P-value Sleep regularity Regular 2 (7.4) 20 (60.6) <.001 Irregular 25 (92.6) 13 (39.4) Dietary habits Meal regularity Regular 4 (14.8) 14 (42.4) 0.020 Irregular 23 (85.2) 19 (57.6) Night time eating Yes 12 (44.4) 8 (24.2) 0.099 No 15 (55.6) 25 (75.8) Light eating Yes 0 (0.0) 1 (3.0) 1.000 No 27 (100) 32 (97.0) Binge eating Yes 11 (40.7) 12 (36.4) 0.729 No 16 (59.3) 21 (63.6) Alcohol consumption frequency* 0 (week) 8 (30.8) 13 (39.4) 0.419 ≤ 1 12 (46.2) 9 (27.3) 2–3 6 (23.1) 10 (30.3) ≥ 4 0 (0.0) 1 (3.0) Physical activity level* < 1h 3 (11.5) 3 (9.1) 0.517 1–3 h 8 (30.8) 15 (45.5) ≥ 3 15 (57.7) 15 (45.5) Weight loss experience Weight loss with drug 15 (55.6) 16 (48.5) 0.586 None 12 (44.4) 17 (51.5) Data are expressed as number (%) for categorical variables. * : Chi-square test was conducted on 26 participants after excluding 1 missing value; † : Fisher’s Exact Test; ‡ : P<0.05 Table 6 Adverse Events Reported from 60 Patients using Gamitaeeumjowee-tang Shift workers (N= 27) Not shift workers (N= 33) Variables 2–6 weeks 10–14 weeks 2–6 weeks 10–14 weeks Causality (WHO-UMC) Possible 11 (25.6) 3 (20.0) 11 (16.2) 1 (4.5) Unlikely 32 (74.4) 12 (80.0) 57 (83.8) 21 (95.5) Conditional/unclassified 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) Total 43 (100) 15 (100) 68 (100) 22 (100) Severity (CTCAE v5.0) Mild (Grade1) 43 (100) 14 (93.3) 68 (100) 21 (95.5) Moderate (Grade 2) 0 (0.0) 1 (6.7) 0 (0.0) 1 (4.5) Severe (Grade 3) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) Total 43 (100) 15 (100) 68 (100) 22 (100) Data are expressed number (%). WHO-UMC; World Health Organization-Uppsala Monitoring Centre, CTCAE; Common Terminology Criteria for Adverse Events Table 7 Adverse Events According to System Organ Classes Shift workers (N= 27) Not shift workers (N= 33) System-organ classes Symptom 2–6 weeks 10–14 weeks 2–6 weeks 10–14 weeks Gastro-intestinal system disorders Constipation 7 (16.3) 6 (40.0) 10 (14.7) 6 (27.3) Dyspepsia 0 (0.0) 0 (0.0) 2 (2.9) 0 (0.0) Nausea 3 (7.0) 0 (0.0) 4 (5.9) 1 (4.5) Vomiting 1 (2.3) 0 (0.0) 2 (2.9) 0 (0.0) Heartburn 0 (0.0) 0 (0.0) 1 (1.5) 0 (0.0) Hemorrhoids 0 (0.0) 0 (0.0) 1 (1.5) 0 (0.0) Hematochezia 0 (0.0) 0 (0.0) 1 (1.5) 0 (0.0) Subtotal 11 (25.6) 6 (40.0) 21 (30.9) 7 (31.8) Central & peripheral nervous system disorders Dizziness 2 (4.7) 0 (0.0) 7 (10.3) 3 (13.6) Headache 6 (14.0) 1 (6.7) 6 (8.8) 1 (4.5) Tremor 2 (4.7) 0 (0.0) 7 (10.3) 1 (4.5) Paresthesia 1 (2.3) 0 (0.0) 0 (0.0) 0 (0.0) Subtotal 11 (25.6) 1 (6.7) 20 (29.4) 5 (22.7) Psychiatric disorders Insomnia 5 (11.6) 3 (20.0) 3 (4.4) 3 (13.6) Subtotal 5 (11.6) 3 (20.0) 3 (4.4) 3 (13.6) Autonomic nervous system disorders Dry mouth 2 (4.7) 1 (6.7) 6 (8.8) 2 (9.1) Palpitation 4 (9.3) 1 (6.7) 6 (8.8) 0 (0.0) Sweating increased 2 (4.7) 1 (6.7) 3 (4.4) 1 (4.5) Subtotal 8 (18.6) 3 (20.0) 15 (22.1) 3 (13.6) Body as a whole - general disorders Malaise 1 (2.3) 0 (0.0) 3 (4.4) 0 (0.0) Feeling hot 2 (4.7) 0 (0.0) 1 (1.5) 0 (0.0) Feeling cold 0 (0.0) 0 (0.0) 1 (1.5) 0 (0.0) Cold sweat 0 (0.0) 0 (0.0) 1 (1.5) 0 (0.0) Subtotal 3 (7.0) 0 (0.0) 6 (8.8) 0 (0.0) Skin and appendages disorders Scalp pruritus 1 (2.3) 0 (0.0) 0 (0.0) 0 (0.0) Subtotal 1 (2.3) 0 (0.0) 0 (0.0) 0 (0.0) Urinary system disorders Urinary frequency 1 (2.3) 0 (0.0) 1 (1.5) 1 (4.5) Dysuria 2 (4.7) 2 (13.3) 0 (0.0) 0 (0.0) Subtotal 3 (7.0) 2 (13.3) 1 (1.5) 1 (4.5) Reproductive disorders Menstrual irregularity 0 (0.0) 0 (0.0) 0 (0.0) 2 (9.1) Menorrhagia 0 (0.0) 0 (0.0) 1 (1.5) 0 (0.0) Erectile dysfunction 1 (2.3) 0 (0.0) 0 (0.0) 0 (0.0) Subtotal 1 (2.3) 0 (0.0) 1 (1.5) 2 (9.1) Musculo-skeletal system disorders Myalgia 0 (0.0) 0 (0.0) 1 (1.5) 0 (0.0) Subtotal 0 (0.0) 0 (0.0) 1 (1.5) 0 (0.0) Respiratory system disorders Hoarseness 0 (0.0) 0 (0.0) 0 (0.0) 1 (4.5) Subtotal 0 (0.0) 0 (0.0) 0 (0.0) 1 (4.5) Total 43(100) 15(100) 68(100) 22(100) Data are expressed number (%) Appendices Appendix 1. Questionnaire on Lifestyle Habits jkm-46-3-1-appendix-1.pdf 참고문헌 1. Ministry of Employment and Labor. Guidelines for application of Labor Standards Act to shift workers. Seoul (KR). Ministry of Employment and Labor;(2008). Mar. 2. Jang, S. Y., & Park, S. B.The effect of shift-work on quality of life (EQ-5D). Korean J Health Econ Policy, (2015). 21(2), 1-25. 3. Korea Occupational Safety and Health Agency. 7th Korean Working Conditions Survey. Seoul (KR). KOSHA;(2023). Nov. p. 38 4. Lee, J., & Lee, Y. (2012). In a 24-hour society. Radical Rev, (54), 59-279. 5. Kim, Y. A., Kim, H. H., & Lim, D. H. (2018). Association of work hours with metabolic syndrome among shift workers: mediating effects of diet, nutrition, and daily habits. J Nutr Health, 51(6), 567-579. crossref pdf 6. 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. American journal of preventive medicine, 50(5), e147-e157. https://doi.org/10.1016/j.amepre.2015.11.013 crossref pmid 7. Chen, J. D., Lin, Y. C., & Hsiao, S. T. (2010). Obesity and high blood pressure of 12-hour night shift female clean-room workers. Chronobiology international, 27(2), 334-344. https://doi.org/10.3109/07420520903502242 crossref pmid 8. Hansen, A. B., Stayner, L., Hansen, J., & Andersen, Z. J. (2016). Night shift work and incidence of diabetes in the Danish Nurse Cohort. Occupational and environmental medicine, 73(4), 262-268. https://doi.org/10.1136/oemed-2015-103342 crossref pmid 9. Park, S., Nam, J., Lee, J. K., Oh, S. S., Kang, H. T., & Koh, S. B. (2015). Association between night work and cardiovascular diseases: analysis of the 3rd Korean working conditions survey. Annals of occupational and environmental medicine, 27, 15. https://doi.org/10.1186/s40557-015-0064-1 crossref pmid pmc pdf 10. Vetter, C., Devore, E. E., Wegrzyn, L. R., Massa, J., Speizer, F. E., Kawachi, I., Rosner, B., Stampfer, M. J., & Schernhammer, E. S. (2016). Association Between Rotating Night Shift Work and Risk of Coronary Heart Disease Among Women. JAMA, 315(16), 1726-1734. https://doi.org/10.1001/jama.2016.4454 crossref pmid pmc 11. Kim, J. M., Suh, B. S., Jung, K. Y., Kim, D. I., Kim, W. S., & Cho, H. S., et al (2017). The study for musculoskeletal symptoms and job stress in firemen. J Korean Soc Occup Environ Hyg, 17(2), 111-119. 12. Lee, Y., & Lee, W. (2024). Shift work and non-alcoholic fatty liver disease in young, healthy workers. Scientific reports, 14(1), 19367. https://doi.org/10.1038/s41598-024-70538-9 crossref pmid pmc pdf 13. Morgan, P. J., Collins, C. E., Plotnikoff, R. C., Cook, A. T., Berthon, B., Mitchell, S., & Callister, R. (2011). Efficacy of a workplace-based weight loss program for overweight male shift workers: the Workplace POWER (Preventing Obesity Without Eating like a Rabbit) randomized controlled trial. Preventive medicine, 52(5), 317-325. https://doi.org/10.1016/j.ypmed.2011.01.031 crossref pmid 14. Phoi, Y. Y., & Keogh, J. B. (2019). Dietary Interventions for Night Shift Workers: A Literature Review. Nutrients, 11(10), 2276. https://doi.org/10.3390/nu11102276 crossref pmid pmc 15. Lee, Y. H., Kwon, G. S., Lee, S. H., Lee, E. S., Kim, C. H., & Jang, K. J., et al (2012). Clinical review of the effects of Samgi-Halleak herbal medicine on insomnia and fatigue. J Acupunct Res, 29(3), 101-113. 16. Wang, S. T., Lin, Y. K., Weng, S. F., Huang, C. L., Huang, H. C., Chiu, Y. C., & Hu, S. (2020). Skeletal Muscle Ratio: A Complete Mediator of Physical Activity and HbA1C in Type 2 Diabetes. Biological research for nursing, 22(4), 536-543. https://doi.org/10.1177/1099800420942884 crossref pmid pdf 17. World Health Organization-Uppsala Monitoring Centre (WHO-UMC). The use of the WHO-UMC system for standardized case causality assessment [Internet] (2018). [cited 2024 Jun 7]. Available from: https://who-umc.org/media/164200/who-umc-causality-assessment\_new-logo.pdf 18. National Cancer Institute, National Institute of Health, U.S. Department of Health and Human Services. Common terminology criteria for adverse events (CTCAE) version 5.0 [Internet] (2017). [cited 2025 May 5] https://ctep.cancer.gov/protocoldevelopment/electronic\_applications/docs/ctcae\_v5\_quick\_reference\_5x7.pdf 19. Korea Institute of Drug Safety & Risk Management. Terminology guide for reporting adverse drug reactions. Seoul (KR). KIDS;(2014). p. 1-6. 20. Korean Endocrine Society. Korean Society for the Study of Obesity. Management of obesity: 2010 recommendation. Endocrinol Metab, (2010). 25, 301-304. crossref 21. Korean Obesity Association. Treatment Guideline for Obesity. Seoul (KR). Korean Obesity Association;(2024. 22. Lee J. M.Longevity and life preservation in Eastern medicine. Seoul (KR). Haklimsa;(1986). p. 333-338. 23. Lee, A. R., Lee, D. Y., Kim, M. J., Lee, H. S., Choi, K. H., & Kim, S. Y., et al (2021). Gamitaeeumjowee-tang for weight loss in diabetic patients: a retrospective chart review. J Korean Med, 42(1), 46-58. https://doi.org/10.13048/jkm.21004 crossref 24. Kim, M. J., Won, B. Y., Kim, H. J., & Choi, K. H. (2023). Clinical Application of Gamitaeeumjowee-tang for Overweight or Obese Hypothyroidism Patients: A Retrospective Chart Review. J Korean Med Obes Res, 23(2), https://doi.org/10.15429/jkomor.2023.23.2.78 crossref 25. Lee, Y. J., Kang, J. I., Kim, Y. H., Min, E. C., Lim, Y. W., & Kim, E. (2024). Gamitaeeumjowee-tang for weight loss in post-menopausal obese women: a retrospective chart review. J Korean Med, 45(1), 64-78. https://doi.org/10.13048/jkm.24004 crossref 26. Kang, J. I., Kim, Y. H., Lee, Y., Lim, Y. W., & Kim, E. (2024). Gamitaeeumjowee-tang for Weight Loss in Postpartum Overweight and Obese Women: A Retrospective Chart Review. J Korean Med Obes Res, 24(2), 157-165. https://doi.org/10.15429/jkomor.2024.24.2.157 crossref 27. Park, Y. J., Cominguez, D. C., Kim, H. J., Jin, J. S., Koh, D. J., Kim, S. Y., Lim, Y. W., Park, Y. B., & An, H. J. (2021). Therapeutic effects of Gambi-jung for the treatment of obesity. Biomed Pharmacother, 141, 111838. https://doi.org/10.1016/j.biopha.2021.111838 crossref pmid 28. Stohs, S. J., Shara, M., & Ray, S. D. (2020). p-Synephrine, ephedrine, p-octopamine and m-synephrine: Comparative mechanistic, physiological and pharmacological properties. Phytotherapy research : PTR, 34(8), 1838-1846. https://doi.org/10.1002/ptr.6649 crossref pmid pmc pdf 29. Quer, G., Gouda, P., Galarnyk, M., Topol, E. J., & Steinhubl, S. R. (2020). Inter-and intraindividual variability in daily resting heart rate and its associations with age, sex, sleep, BMI, and time of year: Retrospective, longitudinal cohort study of 92,457 adults. Plos one, 15(2), e0227709. https://doi.org/10.1371/journal.pone.0227709 crossref pmid pmc 30. Park, S., Park, M. J., Kim, E., Kim, E., & Lim, Y. W. (2024). The Effect of Taking Gamitaeeumjowee-tang for 2 Weeks on Blood Pressure, Pulse Rate and Body Weight in Overweight or Obese Patients: A Retrospective Chart Review. Journal of Korean Medicine for Obesity Research, 24(1), 68-75. https://doi.org/10.15429/jkomor.2024.24.1.68 crossref 31. Knell, G., Li, Q., Pettee Gabriel, K., & Shuval, K. (2018). Long-Term Weight Loss and Metabolic Health in Adults Concerned With Maintaining or Losing Weight: Findings From NHANES. Mayo Clinic proceedings, 93(11), 1611-1616. https://doi.org/10.1016/j.mayocp.2018.04.018 crossref pmid pmc 32. Bae, M. J., Song, Y. M., Shin, J. Y., Choi, B. Y., Keum, J. H., & Lee, E. A. (2017). The Association Between Shift Work and Health Behavior: Findings from the Korean National Health and Nutrition Examination Survey. Korean journal of family medicine, 38(2), 86-92. https://doi.org/10.4082/kjfm.2017.38.2.86 crossref pmid pmc pdf 33. Ko, S. B. (2013). Night Shift Work, Sleep Quality, and Obesity. Journal of lifestyle medicine, 3(2), 110-116. pmid pmc 34. AlMetrek, M. (2014). Effect of shift-work on sleeping quality of male factory workers in Saudi Arabia. National Journal of Physiology Pharmacy and Pharmacology, 4(1), 61-68. 10.5455/njppp.2014.4.100820131 crossref 35. van Mark, A., Weiler, S. W., Schröder, M., Otto, A., Jauch-Chara, K., Groneberg, D. A., Spallek, M., Kessel, R., & Kalsdorf, B. (2010). The impact of shift work induced chronic circadian disruption on IL-6 and TNF-alpha immune responses. Journal of occupational medicine and toxicology (London, England), 5-18. https://doi.org/10.1186/1745-6673-5-18 36. Ahn, Y. E. (2021). Influences of Physical Symptoms, Sleep Quality, Fatigue and Health Promoting Behaviors on Job Satisfaction of Shift Nurses. STRESS, 29(4), 262-270. crossref 37. Jeong, I. K. (2012). The role of cortisol in the pathogenesis of the metabolic syndrome. Diabetes & metabolism journal, 36(3), 207-210. https://doi.org/10.4093/dmj.2012.36.3.207 crossref pmid pmc 38. Van Cauter, E., Holmback, U., Knutson, K., Leproult, R., Miller, A., Nedeltcheva, A., Pannain, S., Penev, P., Tasali, E., & Spiegel, K. (2007). Impact of sleep and sleep loss on neuroendocrine and metabolic function. Hormone research, 67(Suppl 1), 2-9. https://doi.org/10.1159/000097543 crossref pmid pdf 39. Lee, M. J., Park, Y. B., Lim, Y. W., & Kim, S. Y. (2020). The association between sleep and weight loss among adult women with obesity administered with Gamitaeeumjowee-tang. J Korean Med, 41(3), 22-31. https://doi.org/10.13048/jkm.20023 crossref 40. Souza, R. V., Sarmento, R. A., de Almeida, J. C., & Canuto, R. (2019). The effect of shift work on eating habits: a systematic review. Scandinavian journal of work, environment & health, 45(1), 7-21. https://doi.org/10.5271/sjweh.3759 crossref pmid 41. Han, K., Choi-Kwon, S., & Kim, K. S. (2016). Poor dietary behaviors among hospital nurses in Seoul, South Korea. Applied nursing research : ANR, 30, 38-44. https://doi.org/10.1016/j.apnr.2015.10.009 crossref pmid 42. Richter, K., Peter, L., Rodenbeck, A., Weess, H. G., Riedel-Heller, S. G., & Hillemacher, T. (2021). Shiftwork and Alcohol Consumption: A Systematic Review of the Literature. European addiction research, 27(1), 9-15. https://doi.org/10.1159/000507573 crossref pmid pdf 43. Baik, I. (2018). Forecasting obesity prevalence in Korean adults for the years 2020 and 2030 by the analysis of contributing factors. Nutrition research and practice, 12(3), 251-257. https://doi.org/10.4162/nrp.2018.12.3.251 crossref pmid pmc pdf 44. Chang, A. K., & Choi, J. Y. (2015). Factors influencing BMI classifications of Korean adults. Journal of physical therapy science, 27(5), 1565-1570. https://doi.org/10.1589/jpts.27.1565 crossref pmid pmc 45. Tosoratto, J., Tárraga López, P. J., López-González, ÁA, Vallejos, D., Martínez-Almoyna Rifá, E., & Ramirez-Manent, J. I. (2024). Association of Shift Work, Sociodemographic Variables and Healthy Habits with Obesity Scales. Life (Basel, Switzerland), 14(11), 1503. https://doi.org/10.3390/life14111503 crossref pmid pmc 46. Ha, M., & Park, J. (2005). Shiftwork and metabolic risk factors of cardiovascular disease. Journal of occupational health, 47(2), 89-95. https://doi.org/10.1539/joh.47.89 crossref pmid pdf TOOLS PDF Links PDF Links Full text via DOI Full text via DOI PubReader PubReader Download Citation Download Citation Print Share: METRICS 0 Crossref 1,079 View 59 Download Gamitaeeumjowee-tang for Body Fat Loss in Female Patients with Sarcopenic Obesity: A Restrospective Chart Review 2025 June;46(2) Gamitaeeumjowee-tang for Weight Loss in Post-Menopausal Obese Women: A Retrospective Chart Review 2024 June;45(2) Gamitaeeumjowee-tang for Weight Loss in Post-Menopausal Obese Women: A Retrospective Chart Review 2024 ;45(1) Gamitaeeumjowee-Tang for weight loss in diabetic patients: A retrospective chart review 2021 March;42(1)