Comorbidity network analysis related to obesity in middle-aged and older adults: Findings from the population-based survey data
2
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
OBJECTIVES: We conducted a comorbidity network analysis using data from the seventh Korea National Health and Nutrition Examination Survey to systematically quantify obesity-related comorbidities. METHODS: The study included 11,712 subjects aged 45 to 80 (5,075 male and 6,637 female). A prevalent disease was defined as a specific disease for which a subject had been diagnosed by a doctor and was being treated. Comorbidity network analysis was performed for diseases with a prevalence of 1% or more, including overweight and obesity. We estimated the observed-toexpected ratio of all possible disease pairs with comorbidity strength and visualized the network of obesity-related comorbidities. RESULTS: In subjects over 45 years old, 37.3% of people had a body mass index over 25.0 kg/m2. The most common prevalent disease was hypertension (42.3%), followed by dyslipidemia (17.4%) and diabetes (17.0%). Overweight and obese subjects were 2.1 times (95% confidence interval, 1.9 to 2.3) more likely to have a comorbidity (i.e., 2 or more diseases) than normal-weight subjects. Metabolic diseases such as hypertension, dyslipidemia, diabetes, and osteoarthritis were directly associated with overweight and obesity. The probability of coexistence for each of those 4 diseases was 1.3 times higher than expected. In addition, hypertension and dyslipidemia frequently coexisted in overweight and obese female along with other diseases. In obese male, dyslipidemia and diabetes were the major diseases in the comorbidity network. CONCLUSIONS: Our results provide evidence justifying the management of metabolic components in obese individuals. In addition, our results will help prioritize interventions for comorbidity reduction as a public health goal.
Abstract
OBJECTIVES: We conducted a comorbidity network analysis using data from the seventh Korea National Health and Nutrition Examination Survey to systematically quantify obesity-related comorbidities. METHODS: The study included 11,712 subjects aged 45 to 80 (5,075 male and 6,637 female). A prevalent disease was defined as a specific disease for which a subject had been diagnosed by a doctor and was being treated. Comorbidity network analysis was performed for diseases with a prevalence of 1% or more, including overweight and obesity. We estimated the observed-toexpected ratio of all possible disease pairs with comorbidity strength and visualized the network of obesity-related comorbidities. RESULTS: In subjects over 45 years old, 37.3% of people had a body mass index over 25.0 kg/m2. The most common prevalent disease was hypertension (42.3%), followed by dyslipidemia (17.4%) and diabetes (17.0%). Overweight and obese subjects were 2.1 times (95% confidence interval, 1.9 to 2.3) more likely to have a comorbidity (i.e., 2 or more diseases) than normal-weight subjects. Metabolic diseases such as hypertension, dyslipidemia, diabetes, and osteoarthritis were directly associated with overweight and obesity. The probability of coexistence for each of those 4 diseases was 1.3 times higher than expected. In addition, hypertension and dyslipidemia frequently coexisted in overweight and obese female along with other diseases. In obese male, dyslipidemia and diabetes were the major diseases in the comorbidity network. CONCLUSIONS: Our results provide evidence justifying the management of metabolic components in obese individuals. In addition, our results will help prioritize interventions for comorbidity reduction as a public health goal.
참고문헌 (31)
- "Obesity and overweight" (2020)[URL]
- "Overweight and obesity Viz"[URL]
- "Prevalence of obesity"[URL]
- GBD 2015 Obesity Collaborators, "Health effects of overweight and obesity in 195 countries over 25 years", N Engl J Med, 377, pp.13~27 (2017)
- Pi-Sunyer X, "The medical risks of obesity", Postgrad Med, 121, pp.21~33 (2009)
- Luppino FS, "Overweight, obesity, and depression : a systematic review and meta-analysis of longitudinal studies", Arch Gen Psychiatry, 67, pp.220~229 (2010)
- Lee HA, "Diet-related risk factors for incident hypertension during an 11-year follow-up : the Korean Genome Epidemiology Study", Nutrients, 10, pp.1077~ (2018)
- Hevey D, "Network analysis : a brief overview and tutorial", Health Psychol Behav Med, 6, pp.301~328 (2018)
- Liu J, "Comorbidity analysis according to sex and age in hypertension patients in China", Int J Med Sci, 13, pp.99~107 (2016)
- Khan A, "Comorbidity network for chronic disease : a novel approach to understand type 2 diabetes progression", Int J Med Inform, 115, pp.1~9 (2018)
- Khan A, "Comorbidity network for chronic disease : a novel approach to understand type 2 diabetes progression", Int J Med Inform, 115, pp.1~9 (2018)
- 신지연, "Trends in the prevalence and management of diabetes in Korea: 2007-2017", Epidemiology and Health, 41, pp.1~9 (2019), 한국역학회[DOI]
- Ishag Adam, "Red cell distribution width and preeclampsia: a systematic review and meta-analysis", Clinical Hypertension, 25(4), pp.16~23 (2019), 대한고혈압학회[DOI]
- Fotouhi B, "Statistical methods for constructing disease comorbidity networks from longitudinal inpatient data", Appl Netw Sci, 3, pp.46~ (2018)
- Csardi G, "The igraph software package for complex network research", Inter J Complex Syst, 1695, pp.1695~ (2006)
- Aguado A, "MorbiNet : multimorbidity networks in adult general population. Analysis of type 2 diabetes mellitus comorbidity", Sci Rep, 10, pp.2416~ (2020)
- Nguyen NT, "Association of hypertension, diabetes, dyslipidemia, and metabolic syndrome with obesity : findings from the National Health and Nutrition Examination Survey, 1999 to 2004", J Am Coll Surg, 207, pp.928~934 (2008)
- Peytremann-Bridevaux I, "Health correlates of overweight and obesity in adults aged 50 years and over : results from the Survey of Health, Ageing and Retirement in Europe(SHARE). Obesity and health in Europeans aged > or = 50 years", Swiss Med Wkly, 138, pp.261~266 (2008)
- Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration(BMI Mediated Effects), "Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart disease and stroke : a pooled analysis of 97 prospective cohorts with 1· 8 million participants", Lancet, 383, pp.970~983 (2014)
- Wang L, "Association of asthma with coronary heart disease : a meta analysis of 11 trials", PLoS One, 12, pp.e0179335~ (2017)
- Johnson ML, "Prevalence of comorbid hypertension and dyslipidemia and associated cardiovascular disease", Am J Manag Care, 10, pp.926~932 (2004)
- Singh G, "Prevalence of cardiovascular disease risk factors among US adults with self-reported osteoarthritis : data from the Third National Health and Nutrition Examination Survey", Am J Manag Care, 8(15Suppl), pp.S383~S391 (2002)
- Park B, "Multimorbidity and health-related quality of life in Koreans aged 50 or older using KNHANES 2013-2014", Health Qual Life Outcomes, 16, pp.186~ (2018)
- Marshall DA, "Existing comorbidities in people with osteoarthritis : a retrospective analysis of a population-based cohort in Alberta, Canada", BMJ Open, 9, pp.e033334~ (2019)
- Zhang YM, "Association between hypertension and risk of knee osteoarthritis: a meta-analysis of observational studies", Medicine (Baltimore), 96, pp.e7584~ (2017)
- Shapses SA, "Obesity is a concern for bone health with aging", Nutr Res, 39, pp.1~13 (2017)
- Christensen R, "Effect of weight reduction in obese patients diagnosed with knee osteoarthritis : a systematic review and meta-analysis", Ann Rheum Dis, 66, pp.433~439 (2007)
- 권혜미, "Prevalence and Annual Incidence of Thyroid Disease in Korea from 2006 to 2015: A Nationwide Population-based Cohort Study", Endocrinology and Metabolism, 33(2), pp.260~267 (2018), 대한내분비학회
- Sanyal D, "Hypothyroidism and obesity : an intriguing link", Indian J Endocrinol Metab, 20, pp.554~557 (2016)
- "Lipid abnormalities in thyroid disease" (2014)[URL]
- Abad-Díez JM, "Age and gender differences in the prevalence and patterns of multimorbidity in the older population", BMC Geriatr, 14, pp.75~ (2014)