Joonyub Lee, Seung-Hwan Lee, Mee-Kyoung Kim, Hyuk-Sang Kwon, Jae-Seung Yun, Yeoree Yang, Kun-Ho Yoon, Jae-Hyoung Cho, Chi-Un Pae, Kyungdo Han, Jang Won Son
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We analyzed 4,045,081 participants who were aged > 19 years and underwent national health surveillance in 2009. The participants were categorized according to their BMI (underweight: < 18.5 kg/m², normal weight: 18.5-23 kg/m², overweight: 23-25 kg/m², class I obesity: 25-30 kg/m², and class II obesity: > 30 kg/m²). The primary outcome was the death events caused by suicide which was defined by International Classification of Disorders (ICD-10) codes (X60-X84) and death records documented by the Korea National Statistical Office. Multivariate Cox proportional hazard regression analysis was performed to estimate the risk of suicidal death with respect to BMI categories after adjusting for potential confounders (age, sex, income, diabetes, hypertension, dyslipidemia, smoking, drinking, exercise, self-abuse, waist circumference, schizophrenia, bipolar disorder, eating disorder, cancer, anxiety, and substance use disorder).</p><p><strong>Results: </strong>Underweight individuals had an increased risk (hazard ratio [HR] 1.44, 95% confidence interval [CI] 1.31-1.57) while overweight (HR 0.79, 95% CI 0.76-0.83), class I (HR 0.76, 95% CI 0.71-0.80) and class II obesity (HR 0.71, 95% CI 0.63-0.81) were associated with decreased risks of suicidal deaths compared to those of the normal weight individuals (BMI 18.5-23). This trend was consistent regardless of the presence of major depressive disorder (MDD) or the type of living arrangements of the participants.</p><p><strong>Conclusions: </strong>Suicidal death risk was inversely correlated with BMI categories, independent of MDD or living arrangements. Our data suggests the importance of physiological factors associated with body mass in understanding suicidal death risk. 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Multivariate Cox proportional hazard regression analysis was performed to estimate the risk of suicidal death with respect to BMI categories after adjusting for potential confounders (age, sex, income, diabetes, hypertension, dyslipidemia, smoking, drinking, exercise, self-abuse, waist circumference, schizophrenia, bipolar disorder, eating disorder, cancer, anxiety, and substance use disorder).</p><p><strong>Results: </strong>Underweight individuals had an increased risk (hazard ratio [HR] 1.44, 95% confidence interval [CI] 1.31-1.57) while overweight (HR 0.79, 95% CI 0.76-0.83), class I (HR 0.76, 95% CI 0.71-0.80) and class II obesity (HR 0.71, 95% CI 0.63-0.81) were associated with decreased risks of suicidal deaths compared to those of the normal weight individuals (BMI 18.5-23). 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引用次数: 0
摘要
背景:自杀是一个重大但可预防的公共卫生问题。身体质量指数(BMI)是一种与各种健康结果相关的易于测量的指标。然而,BMI和自杀死亡风险之间的关系是复杂的,需要进一步调查,特别是在当代非西方背景下,考虑到潜在的混杂因素。本研究的目的是调查BMI与自杀死亡风险之间的关系。方法:本研究是基于韩国国民健康保险公团数据库的全国性、回顾性、观察性研究。我们分析了4,045,081名年龄在18至19岁之间的参与者,并于2009年接受了全国健康监测。参与者根据他们的BMI进行分类(体重不足:< 18.5 kg/m²,正常体重:18.5-23 kg/m²,超重:23-25 kg/m²,I级肥胖:25-30 kg/m²,II级肥胖:bb0 30 kg/m²)。主要结果是自杀造成的死亡事件,自杀是由国际疾病分类(ICD-10)代码(X60-X84)和韩国国家统计局记录的死亡记录定义的。在校正潜在混杂因素(年龄、性别、收入、糖尿病、高血压、血脂异常、吸烟、饮酒、运动、自虐、腰围、精神分裂症、双相情感障碍、饮食失调、癌症、焦虑和物质使用障碍)后,进行多变量Cox比例风险回归分析,以估计与BMI类别相关的自杀死亡风险。结果:体重过轻个体的自杀死亡风险增加(风险比[HR] 1.44, 95%可信区间[CI] 1.31-1.57),而超重(风险比0.79,95% CI 0.76-0.83)、I类肥胖(风险比0.76,95% CI 0.71-0.80)和II类肥胖(风险比0.71,95% CI 0.63-0.81)与正常体重个体(BMI 18.5-23)相比,自杀死亡风险降低。这一趋势是一致的,无论存在重度抑郁症(MDD)或生活安排的类型的参与者。结论:自杀死亡风险与BMI类别呈负相关,与重度抑郁症或生活安排无关。我们的数据表明,与体重相关的生理因素对理解自杀死亡风险的重要性。此外,这些数据为公共卫生资源应投向何处以降低自杀死亡率提供了宝贵的见解。
Inverse association between obesity and suicidal death risk.
Background: Suicide is a significant yet preventable public health issue. Body mass index (BMI) is a readily measurable indicator associated with various health outcomes. However, the relationship between BMI and suicidal death risk is complex and warrants further investigation, particularly within contemporary, non-Western contexts with consideration of potential confounders. The purpose of this study was to investigate the relationship between BMI and the risk of suicidal death.
Methods: This study was nationwide, retrospective, observational study based on Korean National Health Insurance Service database. We analyzed 4,045,081 participants who were aged > 19 years and underwent national health surveillance in 2009. The participants were categorized according to their BMI (underweight: < 18.5 kg/m², normal weight: 18.5-23 kg/m², overweight: 23-25 kg/m², class I obesity: 25-30 kg/m², and class II obesity: > 30 kg/m²). The primary outcome was the death events caused by suicide which was defined by International Classification of Disorders (ICD-10) codes (X60-X84) and death records documented by the Korea National Statistical Office. Multivariate Cox proportional hazard regression analysis was performed to estimate the risk of suicidal death with respect to BMI categories after adjusting for potential confounders (age, sex, income, diabetes, hypertension, dyslipidemia, smoking, drinking, exercise, self-abuse, waist circumference, schizophrenia, bipolar disorder, eating disorder, cancer, anxiety, and substance use disorder).
Results: Underweight individuals had an increased risk (hazard ratio [HR] 1.44, 95% confidence interval [CI] 1.31-1.57) while overweight (HR 0.79, 95% CI 0.76-0.83), class I (HR 0.76, 95% CI 0.71-0.80) and class II obesity (HR 0.71, 95% CI 0.63-0.81) were associated with decreased risks of suicidal deaths compared to those of the normal weight individuals (BMI 18.5-23). This trend was consistent regardless of the presence of major depressive disorder (MDD) or the type of living arrangements of the participants.
Conclusions: Suicidal death risk was inversely correlated with BMI categories, independent of MDD or living arrangements. Our data suggests the importance of physiological factors associated with body mass in understanding suicidal death risk. Furthermore, these data provide valuable insights to where the public health resources should be invested to reduce suicidal death rates.
期刊介绍:
BMC Psychiatry is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of psychiatric disorders, as well as related molecular genetics, pathophysiology, and epidemiology.