Estimating causal associations of atopic dermatitis with depression using the propensity score method: an analysis of Korea Community Health Service data, 2010-2013
2
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
OBJECTIVES: Numerous studies have reported associations between atopic dermatitis and depression, but the causal relationship between the 2 diseases has not been established. Therefore, this study used the propensity score method to investigate whether there was a positive causal effect of atopic dermatitis on depression in 16 regions (cities and provinces) in South Korea. METHODS: The study analyzed 16 regions (cities and provinces) in Korea, using data obtained from the Korea Community Health Survey for the years 2010-2013. Propensity score matching was used to estimate the causal influence of atopic dermatitis on depression in Korea. RESULTS: After propensity score matching, the standardized difference for each covariate among the 16 regions (cities and provinces) was less than 1, indicating a balance between the case and control groups. At the national level, those diagnosed with atopic dermatitis had a 2.31 times higher risk for being diagnosed with depression than those who had not been diagnosed with atopic dermatitis. In particular, the risk was highest in Jeollabuk-do (odds ratio [OR], 4.87; 95% confidence interval [CI], 2.28 to 10.43) and lowest in Gwangju (OR, 1.82; 95% CI, 0.87 to 3.79), and the OR for Seoul was 2.23 (95% CI, 1.66 to 2.99). CONCLUSIONS: This study provides insights into how causal inferences can be derived from observational studies, through an analysis of Korea Community Health Survey data. Furthermore, the study results have implications for region-specific guidelines for preventive health policies targeting depression.
Abstract
OBJECTIVES: Numerous studies have reported associations between atopic dermatitis and depression, but the causal relationship between the 2 diseases has not been established. Therefore, this study used the propensity score method to investigate whether there was a positive causal effect of atopic dermatitis on depression in 16 regions (cities and provinces) in South Korea. METHODS: The study analyzed 16 regions (cities and provinces) in Korea, using data obtained from the Korea Community Health Survey for the years 2010-2013. Propensity score matching was used to estimate the causal influence of atopic dermatitis on depression in Korea. RESULTS: After propensity score matching, the standardized difference for each covariate among the 16 regions (cities and provinces) was less than 1, indicating a balance between the case and control groups. At the national level, those diagnosed with atopic dermatitis had a 2.31 times higher risk for being diagnosed with depression than those who had not been diagnosed with atopic dermatitis. In particular, the risk was highest in Jeollabuk-do (odds ratio [OR], 4.87; 95% confidence interval [CI], 2.28 to 10.43) and lowest in Gwangju (OR, 1.82; 95% CI, 0.87 to 3.79), and the OR for Seoul was 2.23 (95% CI, 1.66 to 2.99). CONCLUSIONS: This study provides insights into how causal inferences can be derived from observational studies, through an analysis of Korea Community Health Survey data. Furthermore, the study results have implications for region-specific guidelines for preventive health policies targeting depression.
참고문헌 (50)
- Cheng CM, "Risk of developing major depressive disorder and anxiety disorders among adolescents and adults with atopic dermatitis: a nationwide longitudinal study", J Affect Disord, 178, pp.60~65 (2015)
- Yaghmaie P, "Mental health comorbidity in patients with atopic dermatitis", J Allergy Clin Immunol, 131, pp.428~433 (2013)
- Slattery MJ, "Depression, anxiety, and dermatologic quality of life in adolescents with atopic dermatitis", J Allergy Clin Immunol, 128, pp.668~671 (2011)
- Yu SH, "Association between atopic dermatitis and depression in US adults", J Invest Dermatol, 135, pp.3183~3186 (2015)
- Kiebert G, "Atopic dermatitis is associated with a decrement in health-related quality of life", Int J Dermatol, 41, pp.151~158 (2002)
- Mancuso CA, "Patient-reported and physician-reported depressive conditions in relation to asthma severity and control", Chest, 133, pp.1142~1148 (2008)
- Lee S, "Association of atopic dermatitis with depressive symptoms and suicidal behaviors among adolescents in Korea: the 2013 Korean Youth Risk Behavior Survey", BMC Psychiatry, 17, pp.3~ (2017)
- Sewon Kim, "The Association between Atopic Dermatitis and Depressive Symptoms in Korean Adults: The Fifth Korea National Health and Nutrition Examination Survey, 2007–2012", Korean Journal of Family Medicine, 36(6), pp.261~265 (2015), 대한가정의학회
- 김계하, "우리나라 성인의 아토피피부염 관련요인: 2008년도 국민건강영양조사 자료를 중심으로", 재활간호학회지, 15(2), pp.83~90 (2012), 한국재활간호학회[DOI]
- Lee S, "Association of atopic dermatitis with depressive symptoms and suicidal behaviors among adolescents in Korea: the 2013 Korean Youth Risk Behavior Survey", BMC Psychiatry, 17, pp.3~ (2017)
- 유정석, "Prevalence of Atopic Dermatitis in Korea: Analysis by Using National Statistics", Journal of Korean Medical Science, 27(6), pp.681~685 (2012), 대한의학회[DOI]
- 박준혁, "한국의 우울증 역학에 대한 고찰", 대한의사협회지, 54(4), pp.362~369 (2011), 대한의사협회
- Park H, "Association of Perceived Stress with Atopic Dermatitis in Adults: A Population-Based Study in Korea", Int J Environ Res Public Health, 13, pp.E760~ (2016)
- Dahl RE, "Sleep disturbances in children with atopic dermatitis", Arch Pediatr Adolesc Med, 149, pp.856~860 (1995)
- Howlett S, "Emotional dysfunction, child-family relationships and childhood atopic dermatitis", Br J Dermatol, 140, pp.381~384 (1999)
- Carroll CL, "The burden of atopic dermatitis: impact on the patient, family, and society", Pediatr Dermatol, 22, pp.192~199 (2005)
- Chang YS, "Mechanism of sleep disturbance in children with atopic dermatitis and the role of the circadian rhythm and melatonin", Int J Mol Sci, 17, pp.462~ (2016)
- 이동규, "Propensity score matching method의 소개", ~
- Pattanayak CW, "Propensity score methods for creating covariate balance in observational studies", Rev Esp Cardiol, 64, pp.897~903 (2011)
- Vyas S, "Using propensity score matching to estimate an “unbiased effect-size” between women’s employment and partner violence in Tanzania", J Interpers Violence, 29, pp.2971~2990 (2014)
- 김영택, "지역사회건강조사의 조사 기획과 수행", 대한의사협회지, 55(1), pp.74~83 (2012), 대한의사협회
- Levin KA, "Study design IV: cohort studies", Evid Based Dent, 7, pp.51~52 (2006)
- Levin KA, "Study design VII. Randomised controlled trials", Evid Based Dent, 8, pp.22~23 (2007)
- Shahar E, "Causal diagrams and the cross-sectional study", Clin Epidemiol, 5, pp.57~65 (2013)
- Sanderson S, "Tools for assessing quality and susceptibility to bias in observational studies in epidemiology: a systematic review and annotated bibliography", Int J Epidemiol, 36, pp.666~676 (2007)
- Day AG, "Why the propensity for propensity scores?", Crit Care Med, 43, pp.2024~2026 (2015)
- Choi HM, "Sex differences in hypertension prevalence and control: Analysis of the 2010-2014 Korea National Health and Nutrition Examination Survey", PLoS One, 12(5), pp.e0178334~ (2017)
- Lee WH, "Association between long-term exposure to air pollutants and prevalence of cardiovascular disease in 108 South Korean communities in 2008-2010: a cross-sectional study", Sci Total Environ, 565, pp.271~278 (2016)
- Rosenbaum PR, "The central role of the propensity score in observational studies for causal effects", Biometrika, 70, pp.41~55 (1983)
- Pannucci CJ, "Identifying and avoiding bias in research", Plast Reconstr Surg, 126, pp.619~625 (2010)
- Austin PC, "The performance of different propensity score methods for estimating marginal hazard ratios", Stat Med, 32, pp.2837~2849 (2013)
- Austin PC, "Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies", Pharm Stat, 10, pp.150~161 (2011)
- Viechtbauer W, "Conducting meta-analyses in R with the metafor package", J Stat Softw, 36, pp.1~48 (2010)
- Cochran WG, "The effectiveness of adjustment by subclassification in removing bias in observational studies", Biometrics, 24, pp.295~313 (1968)
- Morgan SL, "A diagnostic routine for the detection of consequential heterogeneity of causal effects", Sociol Methodol, 38, pp.231~282 (2008)
- Bell IR, "Depression and allergies: survey of a nonclinical population", Psychother Psychosom, 55, pp.24~31 (1991)
- Centanni S, "Psychological issues in the treatment of asthmatic patients", Respir Med, 94, pp.742~749 (2000)
- Eisner MD, "Impact of depressive symptoms on adult asthma outcomes", Ann Allergy Asthma Immunol, 94, pp.566~574 (2005)
- Hashiro M, "The relationship between the psychological and immunological state in patients with atopic dermatitis", J Dermatol Sci, 16, pp.231~235 (1998)
- Herbert TB, "Depression and immunity: a meta-analytic review", Psychol Bull, 113, pp.472~486 (1993)
- Gold SM, "Depression and immunity: inflammation and depressive symptoms in multiple sclerosis", Immunol Allergy Clin North Am, 29, pp.309~320 (2009)
- Miller GE, "Pathways linking major depression and immunity in ambulatory female patients", Psychosom Med, 61, pp.850~860 (1999)
- Olff M., "Stress, depression and immunity: the role of defense and coping styles", Psychiatry Res, 85, pp.7~15 (1999)
- Galli SJ, "IgE and mast cells in allergic disease", Nat Med, 18, pp.693~704 (2012)
- Dantzer R, "Cytokine, sickness behavior, and depression", Immunol Allergy Clin North Am, 29, pp.247~264 (2009)
- Maes M, "A review on the acute phase response in major depression", Rev Neurosci, 4, pp.407~416 (1993)
- Wamboldt MZ, "Familial association between allergic disorders and depression in adult Finnish twins", Am J Med Genet, 96, pp.146~153 (2000)
- Mössner R, "Modulation of serotonin transporter function by interleukin-4", Life Sci, 68, pp.873~880 (2001)
- Kronfol Z, "Cytokines and the brain: implications for clinical psychiatry", Am J Psychiatry, 157, pp.683~694 (2000)
- Timonen M, "Atopy and depression: results from the Northern Finland 1966 birth cohort study", Mol Psychiatry, 8, pp.738~744 (2003)