Background: Body weight variability is associated with health status, lifestyle, and chronic diseases. However, there is limited evidence of its association with mortality in young adults. This study aimed to explore the impact of body weight variability on all-cause and cause-specific mortality risks among young adults in South Korea. Methods: This retrospective cohort study included 1,771,152 young adults aged 20–39 years who underwent health examinations provided by the Korean National Health Insurance Service between 2009 and 2010 and were followed up until 2021. Body weight variability was assessed using the variability independent of mean (VIM). The association between VIM quartiles in terms of body weight and mortality was analyzed using a Cox regression model. Results: During a mean follow-up period of 10.8 years, 11,708 all-cause deaths occurred. Compared to the lowest VIM quartile (Q1) group, the all-cause mortality risk was 1.07 times higher in the Q3 group (95% confidence interval [CI], 1.02–1.13) and 1.20 times higher in the Q4 group (95% CI, 1.14– 1.26). The all-cause mortality risk increased with higher VIM quartiles. Higher body weight variability has also been associated with mortality from suicide, gastrointestinal diseases, and endocrine diseases. These associations persisted across subgroups categorized by sex, weight change, and body mass index. Conclusion This large-scale nationwide cohort study indicates that higher body weight variability in young adults may elevate the risk of all-cause mortality, mortality from suicide, and gastrointestinal and endocrine diseases. These findings underscore the importance of maintaining stable body weight in young adults.

Background: Body weight variability is associated with health status, lifestyle, and chronic diseases. However, there is limited evidence of its association with mortality in young adults. This study aimed to explore the impact of body weight variability on all-cause and cause-specific mortality risks among young adults in South Korea. Methods: This retrospective cohort study included 1,771,152 young adults aged 20–39 years who underwent health examinations provided by the Korean National Health Insurance Service between 2009 and 2010 and were followed up until 2021. Body weight variability was assessed using the variability independent of mean (VIM). The association between VIM quartiles in terms of body weight and mortality was analyzed using a Cox regression model. Results: During a mean follow-up period of 10.8 years, 11,708 all-cause deaths occurred. Compared to the lowest VIM quartile (Q1) group, the all-cause mortality risk was 1.07 times higher in the Q3 group (95% confidence interval [CI], 1.02–1.13) and 1.20 times higher in the Q4 group (95% CI, 1.14– 1.26). The all-cause mortality risk increased with higher VIM quartiles. Higher body weight variability has also been associated with mortality from suicide, gastrointestinal diseases, and endocrine diseases. These associations persisted across subgroups categorized by sex, weight change, and body mass index. Conclusion This large-scale nationwide cohort study indicates that higher body weight variability in young adults may elevate the risk of all-cause mortality, mortality from suicide, and gastrointestinal and endocrine diseases. These findings underscore the importance of maintaining stable body weight in young adults.

Background: Body weight variability is associated with health status, lifestyle, and chronic diseases. However, there is limited evidence of its association with mortality in young adults. This study aimed to explore the impact of body weight variability on all-cause and cause-specific mortality risks among young adults in South Korea. Methods: This retrospective cohort study included 1,771,152 young adults aged 20–39 years who underwent health examinations provided by the Korean National Health Insurance Service between 2009 and 2010 and were followed up until 2021. Body weight variability was assessed using the variability independent of mean (VIM). The association between VIM quartiles in terms of body weight and mortality was analyzed using a Cox regression model. Results: During a mean follow-up period of 10.8 years, 11,708 all-cause deaths occurred. Compared to the lowest VIM quartile (Q1) group, the all-cause mortality risk was 1.07 times higher in the Q3 group (95% confidence interval [CI], 1.02–1.13) and 1.20 times higher in the Q4 group (95% CI, 1.14– 1.26). The all-cause mortality risk increased with higher VIM quartiles. Higher body weight variability has also been associated with mortality from suicide, gastrointestinal diseases, and endocrine diseases. These associations persisted across subgroups categorized by sex, weight change, and body mass index. Conclusion This large-scale nationwide cohort study indicates that higher body weight variability in young adults may elevate the risk of all-cause mortality, mortality from suicide, and gastrointestinal and endocrine diseases. These findings underscore the importance of maintaining stable body weight in young adults.

Background: Body weight variability is associated with health status, lifestyle, and chronic diseases. However, there is limited evidence of its association with mortality in young adults. This study aimed to explore the impact of body weight variability on all-cause and cause-specific mortality risks among young adults in South Korea. Methods: This retrospective cohort study included 1,771,152 young adults aged 20–39 years who underwent health examinations provided by the Korean National Health Insurance Service between 2009 and 2010 and were followed up until 2021. Body weight variability was assessed using the variability independent of mean (VIM). The association between VIM quartiles in terms of body weight and mortality was analyzed using a Cox regression model. Results: During a mean follow-up period of 10.8 years, 11,708 all-cause deaths occurred. Compared to the lowest VIM quartile (Q1) group, the all-cause mortality risk was 1.07 times higher in the Q3 group (95% confidence interval [CI], 1.02–1.13) and 1.20 times higher in the Q4 group (95% CI, 1.14– 1.26). The all-cause mortality risk increased with higher VIM quartiles. Higher body weight variability has also been associated with mortality from suicide, gastrointestinal diseases, and endocrine diseases. These associations persisted across subgroups categorized by sex, weight change, and body mass index. Conclusion This large-scale nationwide cohort study indicates that higher body weight variability in young adults may elevate the risk of all-cause mortality, mortality from suicide, and gastrointestinal and endocrine diseases. These findings underscore the importance of maintaining stable body weight in young adults.

OBJECTIVES: This is the first study of its kind to investigate the relationship between chronic rhinosinusitis (CRS) with or without nasal polyps (NP) and health-related quality of life (HRQoL) in the general adult Korean population. We sought to evaluate the association after adjustment for confounding factors. We also evaluated HRQoL according to presence of NP in CRS patients. METHODS: In this cross-sectional study we used nationally representative samples from the 5th Korea National Health and Nutrition Examination Survey (2010-2012). A total of 17,490 participants were included in the study, of which 613 were diagnosed with CRS. Univariate analysis was conducted on healthy versus CRS groups, segregated by gender with weighted prevalence of demographic characteristics, socioeconomic status, and comorbid diseases. Subanalysis was carried out to evaluate the relationship between CRS with or without NP and HRQoL using EuroQol 5-dimension (EQ-5D) and visual analog scale (EQ-VAS). The odds ratios for EQ-5D were estimated by multiple logistic regression analyses with confounder adjustment. RESULTS: Weighted prevalence of CRS of adult male was found to be 3.7% and CRS with nasal polyps (CRSwNP) 0.5%, while female CRS was 3.3% and CRSwNP 0.3%. There was no significant difference between the groups (P#x0003d;0.332). The scores for female, EQ-5D index (P for trend<0.001) and EQ-VAS (P for trend=0.002) showed decreasing trend from healthy participants to CRS without nasal polyps (CRSsNP) and from CRSsNp to CRSwNP. After adjusting for demographic characteristics, socioeconomic status, and comorbid diseases, EQ-5D scores; EQ-5D index (P<0.001) and EQ-VAS (P<0.001) exhibited poorer HRQoL compared to healthy participants, exclusively within the female group. CONCLUSION: These data suggest that female patients with CRS are at higher risk of poor HRQoL. In addition, HRQoL of female CRSwNP was lower compared to those of CRSsNP and healthy participants.
Adult ; Cross-Sectional Studies ; Female ; Healthy Volunteers ; Humans ; Korea* ; Logistic Models ; Male ; Nasal Polyps* ; Nutrition Surveys* ; Odds Ratio ; Prevalence ; Quality of Life* ; Sinusitis ; Social Class ; Visual Analog Scale

PURPOSE: This study was conducted to evaluate the association between AR and mental health status in the general Korean adult population and to investigate the relative burden of AR on mental health using the Allergic Rhinitis and Its Impact on Asthma (ARIA) classification. METHODS: A cross-sectional study was performed by using data from 11,154 individuals, 19 years old or older in the Korean National Health and Nutrition Examination Survey 2011-2012. Univariate analysis was conducted in the healthy AR groups with weighted prevalence of demographic characteristics, socioeconomic status, and comorbid diseases. Subanalysis that classified AR severity according to the ARIA classification was carried out to evaluate the relationship of AR severity with mental health. The odds ratios (ORs) for each component representing mental health status were estimated by multiple logistic regression analysis with confounder adjustment. RESULTS: Univariate analysis with the chi-square test after adjustment for age, sex, body mass index, smoking status, alcohol use status, and exercise status, components representing mental health status showed a linear relationship with the severity of AR according to the ARIA classification. Stress, depressive mood, suicidal thoughts, and psychological consultation factors were correlated with AR after adjustment for demographic characteristics and socioeconomic status. Even after adjustment for comorbid allergic diseases, the correlation remained significant with stress, depressive mood, and psychological consultation factors (OR [95% CI]; 1.227 [1.042, 1.445], 1.368 [1.095, 1.71], 1.804 [1.096, 2.969], respectively). CONCLUSIONS: Patients with AR appear to be at higher risk of mental disorders in the general Korean adult population. Moreover, persistent or severe AR was correlated with poor mental health. Therefore, better control of AR may be conducive to better mental health, and more attention should be paid to the psychological status of AR patients.
Adult* ; Asthma ; Body Mass Index ; Classification ; Community Health Planning ; Cross-Sectional Studies ; Humans ; Logistic Models ; Mental Disorders ; Mental Health* ; Nutrition Surveys ; Odds Ratio ; Prevalence ; Rhinitis* ; Smoke ; Smoking ; Social Class

Background: Body mass index (BMI) is a risk factor for the type 2 diabetes (T2DM), and T2DM accompanies various complications, such as fractures. We investigated the effects of BMI and T2DM on fracture risk and analyzed whether the association varied with fracture locations. Methods: This study is a nationwide population-based cohort study that included all people with T2DM (n=2,746,078) who received the National Screening Program during 2009–2012. According to the anatomical location of the fracture, the incidence rate and hazard ratio (HR) were analyzed by dividing it into four categories: vertebra, hip, limbs, and total fracture. Results: The total fracture had higher HR in the underweight group (HR, 1.268; 95% CI, 1.228 to 1.309) and lower HR in the obese group (HR, 0.891; 95% CI, 0.882 to 0.901) and the morbidly obese group (HR, 0.873; 95% CI, 0.857 to 0.89), compared to reference (normal BMI group). Similar trends were observed for HR of vertebra fracture. The risk of hip fracture was most prominent, the risk of hip fracture increased in the underweight group (HR, 1.896; 95% CI, 1.178 to 2.021) and decreased in the obesity (HR, 0.643; 95% CI, 0.624 to 0.663) and morbidly obesity group (HR, 0.627; 95% CI, 0.591 to 0.665). Lastly, fracture risk was least affected by BMI for limbs. Conclusion In T2DM patients, underweight tends to increase fracture risk, and overweight tends to lower fracture risk, but association between BMI and fracture risk varied depending on the affected bone lesions.

OBJECTIVES: Osteoporotic hip fractures are associated with high mortality in the older population. Few population studies have reported the long-term trends of incidence and mortality rate of hip fracture among the older in Korea. This study assessed the incidence and mortality rate within 1 year after hip fracture from 2006 to 2015 in South Korea. METHODS: The National Health Information Database was used to identify adults aged 60 years and older with a diagnosis of hip fracture and died within 1 year from hip fracture. Regression analyses were performed to estimate the change of the incidence of hip fracture and the related mortality rate. RESULTS: The events causing hip fracture increased 1.85 times (1.91 times in women and 1.71 times in men), and the incidence of hip fracture increased 1.23 times (1.30 times in women and 1.11 times in men) from 2006 to 2015. The mortality rate after hip fracture decreased by 10% in women; however, it increased by 13% in men. These trends were more prominent in the older population. CONCLUSIONS: Although the mortality rate after hip fracture in women decreased, other parameters associated with hip fracture have worsened during the last decade. Nationwide programs were urgently needed to reduce the future socioeconomic burdens of hip fractures.
Adult ; Cohort Studies ; Diagnosis ; Female ; Hip Fractures ; Hip ; Humans ; Incidence ; Korea ; Male ; Mortality ; Osteoporosis

The authors regret that the standardized incidence rate for age (70–79) in Table 1 published in this paper was incorrect.