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Comparison of Health-related Quality of Life Influencing Factors between Metabolic Syndrome and Osteoporotic Metabolic Syndrome in Korean Elderly People

대사증후군 노인과 골다공증을 동반한 대사증후군 노인의 건강관련 삶의 질 영향 요인 비교

  • Kim, Eun-Sook (Department of Nursing, College of Health Sciences, Cheongju University)
  • Received : 2021.01.26
  • Accepted : 2021.03.20
  • Published : 2021.03.28

Abstract

This study is a secondary data study that analyzes the factors affecting the quality of life of the elderly with metabolic syndrome and the elderly with metabolic syndrome with osteoporosis using data from the 7th year of the National Health and Nutrition Survey (2018). The subjects of this study were 639 patients with metabolic syndrome and 161 patients with metabolic syndrome with osteoporosis. For data analysis, the composite sample Rao-Scott χ2 test, general linear model t-test, and regression model were used. As a result of the study, the factors that lowered the quality of life of metabolic syndrome were age, cohabitation, strength training, subjective health status, activity restriction, body mass index and depression, and the explanatory power was 50.4% (F=515.96, p<.001). In metabolic syndrome with osteoporosis, age, subjective health status, activity restriction, and stress were the factors that lowered the quality of life, and the explanatory power was 48.6% (F=10.42, p<.001). Based on these results, it is necessary to develop and provide an intensive multidisciplinary program for the elderly with metabolic syndrome accompanied by osteoporosis to solve the problem of activity restrictions and manage stress reduction through positive acceptance of health status, instrumental and social support, and caring support.

본 연구는 국민건강영양조사 제 7기 3차 년도(2018년) 자료를 이용하여 대사증후군 노인과 골다공증을 동반한 대사증후군 노인의 삶의 질에 영향을 미치는 요인을 분석한 2차 자료 연구이다. 연구 대상은 대사증후군 노인 639명, 골다공증을 동반한 대사증후군 노인 161명이 참여하였다. 자료분석은 복합표본 Rao-Scott χ2검정, 일반선형 모형 t-검정 및 회귀모형을 이용하였다. 연구 결과 대사증후군 노인의 삶의 질 저하 요인은 연령, 배우자 동거, 근력운동, 주관적 건강상태, 활동제한, 체질량지수 및 우울이었으며 설명력은 50.4%였다(F=515.96, p<.001). 골다공증을 동반한 대사증후군 노인에서는 연령, 주관적 건강상태, 활동제한 및 스트레스가 삶의 질 저하 요인이었으며 설명력은 48.6%였다(F=10.42, p<.001). 이 결과를 토대로 골다공증 동반 대사증후군 노인에게는 건강상태에 대한 긍정적 수용, 도구적·사회적지지 및 돌봄 지원을 통한 활동제한 문제 해결 및 스트레스 감소 관리를 위한 집중적이고 공격적인 프로그램 개발 및 제공이 필요하다.

Keywords

References

  1. M. G. Saklayen. (2018). The Global Epidemic of the Metabolic Syndrome. Current Hypertension Reports, 20(2), 1-12. DOI : 10.1007/s11906-018-0812-z.
  2. National Health Service. (2019). Metabolic Syndrome. [cited 2019 Dec. 3] (Online). https://www.nhs.uk/conditions/metabolic-syndrome/#:-:text=Metabolic%20syndrome%20is%20the%20medical,that%20affect%20the%20blood%20vessels.
  3. G. Hirode & R. J. Wong. (2020). Trends in the Prevalence of Metabolic Syndrome in the United States, 2011-2016. JAMA, 323(24), 2526-2528. DOI : 10.1001/jama.2020.4501
  4. National Statistical Office. (2020). Status of metabolic syndrome risk factors by age and gender. (Online). https://kosis.kr/statHtml/statHtml.do?orgId=350&tblId=DT_35007_N136&conn_path=I2
  5. Y. H. Kim. (2020). Caution in the Use of Prevalence Data of Metabolic Syndrome. Korean Journal of Family Practice, 10(1), 1-2. DOI : 10.21215/kjfp.2020.10.1.1
  6. S. Y. Lim, A. R. Jung, C. J. Han, J. H. Lee, S. H. Ko & K. H. Yoon. (2019). The Association between Physical Fitness, Physical Activity, Exercise and Metabolic Syndrome in Overweight and Obese Adults with Pre-diabetes : The Community-based Korean Diabetes Prevention Study(C-KDPS), Journal of the Korean society for Wellness, 14(1), 435-447. DOI : 10.21097/ksw.2019.02.14.1.435
  7. H. H. Lin, C. Y. Huang & L. C. Hwang. (2018). Association between metabolic syndrome and osteoporosis in Taiwanese middle-aged and elderly participants. Archives of Osteoporosis, 13, 48 DOI : 10.1007/s11657-018-0467-z
  8. National Statistical Office. (2018). The prevalence rate of chronic diseases by gender in the elderly (doctors) and current treatment rate. [cited 2018 Dec. 12]. (Online). https://kosis.kr/statHtml/statHtml.do?orgId=117&tblId=DT_117071_018&conn_path=I2
  9. L. R. Nelson & S. E. Bulun. (2001). Estrogen production and action. Journal of American Academy of Dermatology, 45(3), S116-124. DOI : 10.1067/mjd.2001.117432.
  10. T. Muka, et al. (2015). The association between metabolic syndrome, bone mineral density, hip bone geometry and fracture risk: The Rotterdam Study. PLoS ONE, 10(6), e0129116. DOI : 10.1371/journal.pone.0129116.
  11. T. Sugimoto, M. Sato, F. C. Dehle, A. J. Brnabic, A. Weston & R. Burge. (2016). Life style-related metabolic disorders, osteoporosis, and fracture risk in Asia: A systematic review. Value in Health Regional Issues, 9, 49-56. DOI : 10.1016/j.vhri.2015.09.005
  12. O. Guzon-Illescas et al. (2019) Mortality after osteoporotic hip fracture: incidence, trends, and associated factors. Journal of Orthopaedic Surgery and Research, 14(1), 203. DOI : 10.1186/s13018-019-1226-6.
  13. S. S. Oh, J. E. Jang, D. W. Lee, E. C. Park & S. I. Jang. (2020) Cigarette type or smoking history: Which has a greater impact on the metabolic syndrome and its components? Scientific Reports, 10(1), 10467. DOI : 10.1038/s41598-020-67524-2.
  14. V. Bermudez et al. (2018). Cigarette smoking and metabolic syndrome components: a cross-sectional study from Maracaibo City, Venezuela. F1000Res, 7, 565. DOI : 10.12688/f1000research.14571.3.
  15. S. Choi et al. (2019). Association between Change in Alcohol Consumption and Metabolic Syndrome: Analysis from the Health Examinees Study. Diabetes & Metabolism Journal, 43(5), 615-626. DOI : 10.4093/dmj.2018.0128.
  16. I. Shimoshikiryo,et al. (2020). Association between alcohol intake pattern and metabolic syndrome components and simulated change by alcohol intake reduction: A cross-sectional study from the Japan Multi- Institutional Collaborative Cohort Study. Alcohol. 89, 129-138. DOI : 10.1016/j.alcohol.2020.09.002.
  17. J. R. Churilla & E. C. Fitzhugh. (2009). Relationship between leisure-time physical activity and metabolic syndrome using varying definitions: 1999-2004 NHANES. Diabetes and Vascular Disease Research, 6(2), 100-109. DOI : 10.1177/1479164109336040
  18. E. R. Hale, D. C. Goff, I. Scott, B. Caroline, M. C. Whitt-Glover & J. A. Katula. (2013). Relationship of weekly activity minutes to metabolic syndrome in prediabetes: the healthy living partnerships to prevent diabetes. Journal of Physical Activity & Health, 10(5), 690-698. DOI : 10.1123/jpah.10.5.690.
  19. J. S. McPhee, D. P. French, D. Jackson, J. Nazroo, N. Pendleton & H. Degens. (2016) Physical activity in older age: perspectives for healthy ageing and frailty. Biogerontology, 17(3), 567-80. DOI : 10.1007/s10522-016-9641-0.
  20. P. D. Loprinzi, H. Lee & B. J. Cardinal. (2013). Dose response association between physical activity and biological, demographic, and perceptions of health variables. Obesity Facts, 6(4), 380-392. DOI : 10.1159/000354752.
  21. M. J. Gurka, S. L. Filipp, S. K. Musani, M. Sims & M. D. DeBoer. (2018). Use of BMI as the marker of adiposity in a metabolic syndrome severity score: Derivation and validation in predicting long-term disease outcomes. Metabolism, 83, 68-74. DOI : 10.1016/j.metabol.2018.01.015.
  22. N. Bergmann, F. Gyntelberg & J. Faber. (2014). The appraisal of chronic stress and the development of the metabolic syndrome: a systematic review of prospective cohort studies. Endocrine Connections, 3(2), R55-80. DOI : 10.1530/EC-14-0031.
  23. G. R. Ghanei, N. Parizad & K. Sayehmiri. (2016). The Relationship Between Depression and Metabolic Syndrome: Systematic Review and Meta-Analysis Study. Iran Red Crescent Medical Journal, 18(6), e26523. DOI : 10.5812/ircmj.26523.
  24. S. K. Wong, K. Y. Chin, F. H. Suhaimi, F. Ahmad & S. Ima-Nirwana. (2016). The Relationship between Metabolic Syndrome and Osteoporosis: A Review. Nutrients, 8(6), 347. DOI : 10.3390/nu8060347.
  25. P. P. Saboya, L. C. Bodanese, P. R. Zimmermann, A. D. Gustavo, C. M. Assumpcao & F. Londero. (2016). Metabolic syndrome and quality of life: a systematic review. Revista Latino Americana de Enfermagem, 24, e2848. DOI : 10.1590/1518-8345.1573.2848.
  26. E. Y. Park & H. R. Park. (2018). Factors Influencing Health-related Quality of Life among Older Korean Women with Osteoporosis: Using Data from Korea National Health and Nutrition Examination Survey 2015 to 2016. The Korean Journal of Rehabilitation Nursing, 21(2), 140-150. DOI : 10.7587/kjrehn.2018.140
  27. J. Y. Kim & Y. R. Yang. (2020). Factors Influencing on Health-Related Quality of Life among Men Osteoporosis Patients over 50 Years. Korean Journal of Adult Nursing, 32(2), 145-155. DOI : 10.7475/kjan.2020.32.2.145
  28. S. F. Weng, H. R. Hsu, Y. L. Weng, K. J. Tien & H. Y. Kao. (2020). Health-Related Quality of Life and Medical Resource Use in Patients with Osteoporosis and Depression: A Cross-Sectional Analysis from the National Health and Nutrition Examination Survey. Inernational Journal of Environmental Research and Public Health, 17(3), 1124. DOI : 10.3390/ijerph17031124.
  29. M. E. Nelson et al. (2007). Physical activity and public health in older adults: recommendation from the American College of Sports Medicine and the American Heart Association, Circulation, 116(9), 1094-1105. DOI : 10.1161/CIRCULATIONAHA.107.185650
  30. K. Kroenke, R. L. Spitzer & J. B. Williams. (2001). The PHQ‐9: validity of a brief depression severity measure. Journal of general internal medicine, 16(9), 606-613, DOI : 10.1046/j.1525-1497.2001.016009606.x
  31. Expert Panel on Detection E., (2001). Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III), Jama, 285(19), 2486. DOI : 10.1001/jama.285.19.2486
  32. S. Y. Lee, H. S. Park, D. J. Kim, J. H. Han, S. M. Kim & G. J. Cho. (2007). Appropriate Waist Circumference Cutoff Points for Central Obesity in Korean Adults. Diabetes Research and Clinical Practice, 75(1), 72-80, DOI : 10.1016/j.diabres.2006.04.013
  33. S. I. Lee. (2011). Validity and reliability evaluation for EQ-5D in Korea. Cheongju: Korea Centers for Disease Control and Prevention, 40(59), 1-106,
  34. M. J. Eum & H. S. Jung. (2020). The Influence of Metabolic Syndrome and its Components on the Impaired Health-related Quality of Life by Gender in Korean Adults: The 2016-2018 Korea National Health and Nutrition Examination Survey. The Journal of the Korea Contents Association, 20(10), 411- 423. DOI : 10.5392/JKCA.2020.20.10.411
  35. M. T. Puth, M. Klaschik, M. Schmid, K. Weckbecker & E. Munster. (2018). Prevalence and comorbidity of osteoporosis: A crosssectional analysis on 10,660 adults aged 50 years and older in Germany. BMC Musculoskeletal Disorder, 19(1), 144. DOI : 10.1186/s12891-018-2060-4
  36. L. Oei et al. (2013). High bone mineral density and fracture risk in type 2 diabetes as skeletal complications of inadequate glucose control: the Rotterdam Study. Diabetes Care, 36(6), 1619-1628. DOI : 10.2337/dc12-1188.
  37. P. Cerletti, D. Keidel, M. Imboden, C. Schindler & N. Probst-Hensch. (2020). The modifying role of physical activity in the cross-sectional and longitudinal association of health-related quality of life with physiological functioning-based latent classes and metabolic syndrome. Health Quality of Life Outcomes, 18(1), 345. DOI : 10.1186/s12955-020-01557-z.
  38. J. H. Lee, J. H. Kim, A. R. Hong, S. W. Kim & C. S. Shin. (2020). Optimal body mass index for minimizing the risk for osteoporosis and type 2 diabetes. Korean Journal of Internal Medicine, 35(6), 1432-1442. DOI : 10.3904/kjim.2018.223.
  39. N. Repousi, M. F. Masana, A. Sanchez-Niubo, J. M. Haro & S. Tyrovolas. (2018). Depression and metabolic syndrome in the older population: A review of evidence. Journal of Affective Disorders, 237, 56-64. DOI : 10.1016/j.jad.2018.04.102.
  40. J. Zhou et al. (2013). Association between metabolic syndrome and osteoporosis: a meta-analysis. Bone. 57(1), 30-35. DOI : 10.1016/j.bone.2013.07.013.
  41. P. D. Loprinzi, H. Lee & B. J. Cardinal. (2013). Dose response association between physical activity and biological, demographic, and perceptions of health variables. Obesity Facts, 6(4), 380-392. DOI : 10.1159/000354752.
  42. J. Ortega-Montiel, C. Posadas-Romero, W. Ocampo-Arcos, A. Medina-Urrutia, G. CardosoSaldana, E. Jorge-Galarza & R. Posadas-Sanchez. (2015). Self-perceived stress is associated with adiposity and atherosclerosis. The GEA Study. BMC Public Health, 15, 780. DOI : 10.1186/s12889-015-2112-8.