Long-term health outcomes by cancer diagnosed age among adolescent and young adult: multinational representative database.

BACKGROUND: The cancer experienced in adolescent and young adult (AYA) could disturb developmental changes and long-term life. The current AYA guidelines and research for survivorship were developed and reported according to the general age range of 15-39 years; however, expected life events vary by diagnosed age. We aimed to examine the social, psychological, and physical well-being of AYA cancer survivors by age at diagnosis using a multinational representative dataset focusing on age at diagnosis. METHODS: We conducted a cross-sectional study using the US and Korean National Health and Nutrition Examination Surveys from 2007 to 2018. Participants diagnosed with any cancer aged 15-39 years and were aged > 18 years at the survey year were defined as AYA cancer survivors. AYA were classified into three groups based on their diagnosed age: adolescent survivors (diagnosed between the ages of 15 and 19, n = 45), young adult survivors (diagnosed between the ages of 20 and 29, n = 238), and late young adult survivors (diagnosed between the ages of 30 and 39, n = 539). We also selected an age-, sex-, race-, and survey year-matched general population with 1:5 ratio among participants without cancer (N = 4110). RESULTS: The average age of the survey was 29.1, 43.7, and 48.7 years for AYA survivors diagnosed during adolescence, young adulthood, and late young adulthood, respectively. Adolescent survivors had more non-couple marital status (adjusted odds ratio (aOR), 1.34; 95% CI, 1.10-1.64) and unemployed (aOR, 1.30; 95% CI, 1.05-1.61) compared to late young adult survivors. Comparing with the matched general, adolescent survivors were more in poor general health (aOR, 4.65; 95% CI, 2.09-10.38) and unemployed (aOR, 2.17; 95% CI, 1.12-4.24) and late young adult survivors were more non-couple (aOR, 1.40; 95% CI, 1.05-1.86). CONCLUSION: This study provides evidence for future studies on long-term health, which may vary according to age at the time of diagnosis among AYA with cancer.

Glycaemic Status and Risk of Abdominal Aortic Aneurysm: A Nationwide Cohort Study of Four Million Adults using Korean National Health Screening Data.

OBJECTIVE: This retrospective cohort study aimed to confirm the previously reported inverse association between diabetes mellitus (DM) and abdominal aortic aneurysm (AAA) using large population based data. It also investigated the associations between AAA with impaired fasting glucose (IFG) and new onset DM (not yet treated). METHODS: A representative dataset was obtained from the Korean National Health Insurance Service. Participants who were aged ≥ 50 years and received a national health examination in 2009 were included and followed until 31 December 2019. Glycaemic status was defined based on fasting plasma glucose level and the relevant diagnostic codes. AAA was ascertained using records of medical facility usage with relevant diagnostic codes or aneurysm repair surgery. A Cox proportional hazards model was used to examine the association between glycaemic status and AAA, with adjustment for confounders. Additionally, the interactions between glycaemic status and subgroups based on baseline characteristics were examined. RESULTS: The study population comprised 4 162 640 participants. Participants with IFG or DM were significantly more likely to be male, older, and have comorbidities compared with normoglycaemic participants at baseline. The incidence of AAA was lower in participants with IFG or DM compared with normoglycaemic participants. The AAA risk was lower in patients with DM than in patients with IFG, and decreased linearly according to glycaemic status: the adjusted hazard ratio was 0.88 (95% confidence interval [CI] 0.85 - 0.91) for IFG, 0.72 (95% CI 0.67 - 0.78) for newly diagnosed DM, 0.65 (95% CI 0.61 - 0.69) for DM duration < 5 years, and 0.47 (95% CI 0.44 - 0.51) for DM duration ≥ 5 years compared with the normoglycaemia group. Both IFG and DM were related to reduced AAA risk in all subgroups, suggesting an independent association. CONCLUSION: Both IFG and DM, even when not treated with antihyperglycaemic medication, were associated with a lower incidence of AAA. The AAA risk decreased linearly according to DM duration.

Exploring age-standardized cancer incidence rates and regional disparities: A retrospective cohort study of 8 major cancers in South Korea.

BACKGROUND: We analyzed trends in cancer incidence and regional disparities of eight major types of cancer in Korea. METHODS: This retrospective cohort study used the data of 17 cities/provinces from the Korea Central Cancer Registry (1999-2020) in South Korea. Age-standardized incidence rates (per 100,000 person-years), between-group variance (per 100,000 person-years)2, and annual percentage changes ( %) were calculated for the eight most common malignancies. Joinpoint regression was utilized to identify the points at which significant changes occur in cancer incidence or regional disparity trends over time to characterize these trends. RESULTS: The incidence of stomach cancer decreased as regional disparity decreased and that of colorectal cancer initially increased but recently declined, showing fluctuations in regional disparity. The incidence and regional disparity in liver cancer decreased. The incidence of lung cancer remained stable, with reduced regional disparities. The incidence of breast cancer rose with increasing regional disparity, whereas the incidence of cervical cancer decreased, accompanied by decreased regional disparity. A significant increase in prostate cancer was found, with initially reduced regional disparities but later showed a resurgence. The incidence of thyroid cancer fluctuated alongside variations in regional disparities. CONCLUSION: This study revealed cancer incidence and regional variations in each cancer type in Korea. More studies are needed to understand the underlying factors and potential interventions for reducing cancer incidence and addressing regional disparity.

Migraine Risk in Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorder: A Nationwide Cohort Study in South Korea.

INTRODUCTION: Although the relationship between migraine and multiple sclerosis (MS) has been reported, the risk of migraine in MS and neuromyelitis optica spectrum disorder (NMOSD) is unclear. Therefore, this study investigated the risk of migraine in the Korean MS and NMOSD populations. METHODS: This study analyzed claims data from 1492 patients with MS and 1551 patients with NMOSD based on diagnostic codes in the Korean National Health Insurance Service. Migraine risk was compared with a control group (matched 1:5 for age, sex, and comorbidities) using Cox proportional hazards analysis. Patients aged <20 years and with previous migraine were excluded. RESULTS: Migraine risk was higher in patients with MS (adjusted hazard ratio [aHR] 1.37; 95% confidence interval [CI]: 1.15-1.62) but did not differ significantly in patients with NMOSD (aHR 1.05; 95%CI: 0.87-1.27) compared to controls. No significant sex-based differences in migraine risk were observed. Patients with NMOSD showed decreasing risk with age (p for interaction=0.040). Comorbidities like hypertension, diabetes, or dyslipidemia did not significantly alter migraine risk in either group. CONCLUSION: The study results revealed an increased risk of migraines in patients with MS but not in patients with NMSOD compared with matched controls.

Tuberculosis and osteoporotic fracture risk: development of individualized fracture risk estimation prediction model using a nationwide cohort study.

Purpose: Tuberculosis (TB) is linked to sustained inflammation even after treatment, and fracture risk is higher in TB survivors than in the general population. However, no individualized fracture risk prediction model exists for TB survivors. We aimed to estimate fracture risk, identify fracture-related factors, and develop an individualized risk prediction model for TB survivors. Methods: TB survivors (n = 44,453) between 2010 and 2017 and 1:1 age- and sex-matched controls were enrolled. One year after TB diagnosis, the participants were followed-up until the date of fracture, death, or end of the study period (December 2018). Cox proportional hazard regression analyses were performed to compare the fracture risk between TB survivors and controls and to identify fracture-related factors among TB survivors. Results: During median 3.4 (interquartile range, 1.6-5.3) follow-up years, the incident fracture rate was significantly higher in TB survivors than in the matched controls (19.3 vs. 14.6 per 1,000 person-years, p < 0.001). Even after adjusting for potential confounders, TB survivors had a higher risk for all fractures (adjusted hazard ratio 1.27 [95% confidence interval 1.20-1.34]), including hip (1.65 [1.39-1.96]) and vertebral (1.35 [1.25-1.46]) fractures, than matched controls. Fracture-related factors included pulmonary TB, female sex, older age, heavy alcohol consumption, reduced exercise, and a higher Charlson Comorbidity Index (p < 0.05). The individualized fracture risk model showed good discrimination (concordance statistic = 0.678). Conclusion: TB survivors have a higher fracture risk than matched controls. An individualized prediction model may help prevent fractures in TB survivors, especially in high-risk groups.

A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records.

BACKGROUND: Supervised machine learning models have been widely used to predict and get insight into diseases by classifying patients based on personal health records. However, a class imbalance is an obstacle that disrupts the training of the models. In this study, we aimed to address class imbalance with a conditional normalizing flow model, one of the deep-learning-based semi-supervised models for anomaly detection. It is the first introduction of the normalizing flow algorithm for tabular biomedical data. METHODS: We collected personal health records from South Korean citizens (n = 706), featuring genetic data obtained from direct-to-customer service (microarray chip), medical health check-ups, and lifestyle log data. Based on the health check-up data, six chronic diseases were labeled (obesity, diabetes, hypertriglyceridemia, dyslipidemia, liver dysfunction, and hypertension). After preprocessing, supervised classification models and semi-supervised anomaly detection models, including conditional normalizing flow, were evaluated for the classification of diabetes, which had extreme target imbalance (about 2%), based on AUROC and AUPRC. In addition, we evaluated their performance under the assumption of insufficient collection for patients with other chronic diseases by undersampling disease-affected samples. RESULTS: While LightGBM (the best-performing model among supervised classification models) showed AUPRC 0.16 and AUROC 0.82, conditional normalizing flow achieved AUPRC 0.34 and AUROC 0.83 during fifty evaluations of the classification of diabetes, whose base rate was very low, at 0.02. Moreover, conditional normalizing flow performed better than the supervised model under a few disease-affected data numbers for the other five chronic diseases - obesity, hypertriglyceridemia, dyslipidemia, liver dysfunction, and hypertension. For example, while LightGBM performed AUPRC 0.20 and AUROC 0.75, conditional normalizing flow showed AUPRC 0.30 and AUROC 0.74 when predicting obesity, while undersampling disease-affected samples (positive undersampling) lowered the base rate to 0.02. CONCLUSIONS: Our research suggests the utility of conditional normalizing flow, particularly when the available cases are limited, for predicting chronic diseases using personal health records. This approach offers an effective solution to deal with sparse data and extreme class imbalances commonly encountered in the biomedical context.

Association between physical activity changes and risk of incident ischemic stroke following cancer diagnosis: A nationwide retrospective cohort study.

BACKGROUND: Physical inactivity is prevalent after cancer treatment, which could increase ischemic stroke risk in cancer survivors. This study investigated the association between physical activity change from pre- to post-diagnosis and ischemic stroke risk among cancer survivors. METHODS: Using data from the Korean National Health Insurance Service database, 269,943 cancer survivors (mean [SD] age, 56.3 [12.1] years; 45.7% male) with no history of cardiovascular disease were evaluated based on changes in physical activity from pre- to post-diagnosis. Using the Fine-Gray model, subdistribution hazard ratios (sHRs) and 95% confidence intervals (CIs) for ischemic stroke risk were calculated, considering death as a competing risk. RESULTS: After cancer diagnosis, 62.0% remained inactive, 10.1% remained active, 16.6% became active, and 11.4% became inactive. During a mean (SD) follow-up of 4.1 (2.0) years, being active both pre- and post-diagnosis was associated with a 15% decreased risk of ischemic stroke (sHR, 0.85; 95% CI, 0.75-0.96), compared with those who remained inactive. Cancer survivors who became active and inactive post-diagnosis showed a 16% and 11% lower ischemic stroke risk (sHR, 0.84; 95% CI, 0.75-0.93; sHR, 0.89; 95% CI, 0.79-0.99), respectively, than those who remained inactive. Analysis by the primary cancer site did not substantially differ from the main findings. CONCLUSIONS: Physical activity is associated with reduced ischemic stroke risk among cancer survivors. The potential benefits of physical activity are not limited to individuals who were physically active before cancer diagnosis, thus preventive strategies against ischemic stroke should emphasize physical activity throughout the cancer journey.

Association of Body Image Distortion with Smartphone Dependency and Usage Time in Adolescents: A Cross-Sectional Korean Youth Study.

Background: Adolescent dependency on smartphones is the highest among all age groups. Adolescents can be influenced to evaluate their body image by popular ideals about beautiful bodies via smartphone content, which can cause body image distortion. This study aimed to examine the association between body image distortion and smartphone dependency and the duration of smartphone usage among Korean adolescents. Methods: This study used data from the 16th Korean Youth Risk Behavior Web-Based Survey (2020), and included 42,981 participants, who were grouped according to self-reported duration of smartphone usage and smartphone dependency, as measured by a questionnaire. Body image distortion is defined as an exaggerated subjective body image compared to the actual body image. Multivariable-adjusted logistic regression was used to determine the odds ratios (ORs) with 95% confidence intervals (CIs) of body image distortion on smartphone dependency and usage time after adjusting for various factors related to body image distortion. Results: Among the 42,981 participants, both moderate and high levels of smartphone dependency were associated with body image distortion in boys (moderate: adjusted OR [aOR], 1.11; 95% CI, 1.01-1.22; high: aOR, 1.18; 95% CI, 1.05-1.32) and girls (moderate: aOR, 1.14; 95% CI, 1.05-1.23; high: aOR, 1.30; 95% CI, 1.18-1.42) compared to the low-level dependency group. However, no significant association was found between smartphone usage duration and body image distortion. Conclusion: Our study demonstrated that moderate to high levels of smartphone dependency are associated with body image distortion in adolescents. Therefore, it is necessary to establish strategies for checking and managing adolescents' smartphone dependence.

Risk of Heart Disease in Patients With Amputation: A Nationwide Cohort Study in South Korea.

BACKGROUND: Amputation confers disabilities upon patients and is linked to substantial morbidity and death attributed to heart disease. While some studies have focused on traumatic amputees in veterans, few studies have focused on traumatic amputees within the general population. Therefore, the present study aimed to assess the risk of heart disease in patients with traumatic amputation with disability within the general population using a large-scale nationwide population-based cohort. METHODS AND RESULTS: We used data from the Korean National Health Insurance System. A total of 22 950 participants with amputation were selected with 1:3 age, sex-matched controls between 2010 and 2018. We used Cox proportional hazard models to calculate the risk of myocardial infarction, heart failure, and atrial fibrillation among amputees. Participants with amputation had a higher risk of myocardial infarction (adjusted hazard ratio [aHR], 1.30 [95% CI, 1.14-1.47]), heart failure (aHR, 1.27 [95% CI, 1.17-1.38]), and atrial fibrillation (aHR, 1.17 [95% CI, 1.03-1.33]). The risks of myocardial infarction and heart failure were further increased by the presence of disability (aHR, 1.43 [95% CI, 1.04-1.95]; and aHR, 1.38 [95% CI, 1.13-1.67], respectively). CONCLUSIONS: We demonstrate an increased risk of myocardial infarction, heart failure, and atrial fibrillation among individuals with amputation, and the risk further increased in those with disabilities. Clinicians should pay attention to the increased risk for heart disease in patients with amputation.

Metabolic dysfunction-associated steatotic liver disease and risk of esophageal cancer in patients with diabetes mellitus: a nationwide cohort study.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is closely associated with type 2 diabetes and a developing several cancers including esophageal cancer (EC). However, the association between MASLD and EC in diabetic patients has not been investigated. Therefore, we aimed to investigate the relation between MASLD and developing EC in diabetic patients. This was a population-based retrospective cohort study of data from the Korean National Health Insurance Service (NHIS). A total of 1,904,468 subjects diagnosed with diabetes who underwent NHIS-provided health checkups from 2009 to 2012 were included. We constructed a Cox proportional hazard model for the association of fatty liver index (FLI) and the risk of EC stratified by potential confounders. Over a mean follow-up duration of 6.9 years, the incidence of EC was higher in the high (≥60) FLI group compared to the low (<30) FLI group (14.4 vs. 13.7 event per 100,000 person-years). The risk of EC correlated with the degree of FLI, particularly in older (P = 0.002), female (P = 0.033), non-smoking (P = 0.002), and non-drinking patients (P = 0.025). Among obese patients, the risk of EC was not associated with FLI; however, the risk of EC was higher in the high FLI group in non-obese patients. Lean MASLD patients had the highest risk of EC (adjusted hazard ratio 1.78; 95% confidence interval, 1.5-2.13). MASLD was associated with an increased risk of EC in diabetic patients, and lean MASLD has the highest risk. Further studies are required to determine the causal relationship between MASLD and EC.

Changes in physical activity and diabetes risk after cancer diagnosis: a nationwide cohort study.

PURPOSE: Physical activity has the potential to reduce the risk of diabetes after cancer diagnosis. However, current evidence supporting its effects is limited. This study aims to examine the associations between changes in physical activity and subsequent risk of diabetes among cancer survivors. METHODS: A total of 264,250 cancer survivors (mean age 56.7 (12.5) years, 44.2% males) without a prior history of diabetes were assessed for adherence to physical activity both before and after their diagnosis. The primary outcome was incident diabetes. The Fine-Gray proportional sub-distribution hazards model was used to calculate sub-distribution hazard ratios (sHRs) and 95% confidence intervals (CIs) for diabetes risk, considering death as a competing risk. RESULTS: Over a follow-up of 1,065,802 person-years, maintaining regular physical activity from pre-diagnosis was associated with a 10% reduced risk of diabetes after cancer diagnosis (sHR 0.90, 95% CI 0.85-0.96), considering traditional diabetes risk factors, sociodemographics, and primary cancer sites. Cancer survivors who became active and inactive after their cancer diagnosis exhibited a marginally decreased risk of diabetes (sHR 0.98, 95% CI 0.93-1.03; sHR 0.97, 95% CI 0.92-1.03). The strength and direction of the association varied depending on the primary site of cancer. CONCLUSIONS: Regular physical activity starting before a cancer diagnosis is associated with a lower risk of diabetes following the diagnosis, independent of established diabetes risk factors. IMPLICATIONS FOR CANCER SURVIVORS: The study underscores the importance of engaging in sufficient physical activity to mitigate the risk of diabetes in cancer survivors.

Gamma-glutamyl transferase and the risk of all-cause and disease-specific mortality in patients with diabetes: A nationwide cohort study.

BACKGROUND: There exists a paucity of data regarding whether gamma-glutamyl transferase is associated with disease-specific mortality in patients with type 2 diabetes mellitus. This study aimed to investigate the association of serum gamma-glutamyl transferase levels with all-cause and disease-specific mortality in patients with diabetes mellitus using a Korean nationwide health-screening database. METHODS: A total of 9 687 066 patients without viral hepatitis or liver cirrhosis who underwent health examination in 2009 were included. These patients were divided into four groups according to sex-specific quartiles of serum gamma-glutamyl transferase levels. RESULTS: During a median follow-up period of 8.1 years, 222 242 deaths were identified. The all-cause mortality rate increased as the serum gamma-glutamyl transferase levels became higher (highest quartile vs lowest quartile: hazard ratio [HR], 1.57; 95% confidence interval [CI], 1.55-1.59; p for trend <.001). Similar trends were observed for cardiovascular disease (HR, 1.57; 95% CI, 1.53-1.62), ischemic heart disease (HR, 1.40; 95% CI, 1.33-1.48), and stroke (HR, 1.72; 95% CI, 1.60-1.85) in the highest quartile, as compared with the lowest quartile (p for trend <.001). As the gamma-glutamyl transferase quartiles became higher, mortality rates related to cancer (HR, 1.56; 95% CI, 1.52-1.60), liver disease (HR, 9.42; 95% CI, 8.81-10.07), respiratory disease (HR, 1.55; 95% CI, 1.49-1.62), and infectious disease (HR, 1.73; 95% CI, 1.59-1.87) also increased in the highest quartile, compared with the lowest quartile (p for trend <.001). CONCLUSIONS: Serum gamma-glutamyl transferase levels may be useful for the risk assessment of all-cause and disease-specific mortality among patients with type 2 diabetes mellitus.

Analysis of Self-Assembled Low- and High-Molecular-Weight Poly-L-Lysine-Ce6 Conjugate-Based Nanoparticles.

In cancer therapy, photodynamic therapy (PDT) has attracted significant attention due to its high potential for tumor-selective treatment. However, PDT agents often exhibit poor physicochemical properties, including solubility, necessitating the development of nanoformulations. In this study, we developed two cationic peptide-based self-assembled nanomaterials by using a PDT agent, chlorin e6 (Ce6). To manufacture biocompatible nanoparticles based on peptides, we used the cationic poly-L-lysine peptide, which is rich in primary amines. We prepared low- and high-molecular-weight poly-L-lysine, and then evaluated the formation and performance of nanoparticles after chemical conjugation with Ce6. The results showed that both molecules formed self-assembled nanoparticles by themselves in saline. Interestingly, the high-molecular-weight poly-L-lysine and Ce6 conjugates (HPLCe6) exhibited better self-assembly and PDT performance than low-molecular-weight poly-L-lysine and Ce6 conjugates (LPLCe6). Moreover, the HPLCe6 conjugates showed superior cellular uptake and exhibited stronger cytotoxicity in cell toxicity experiments. Therefore, it is functionally beneficial to use high-molecular-weight poly-L-lysine in the manufacturing of poly-L-lysine-based self-assembling biocompatible PDT nanoconjugates.

Fracture Risk Among Stroke Survivors According to Poststroke Disability Status and Stroke Type.

BACKGROUND: Stroke survivors face physical and cognitive challenges, leading to an increased dependency and a higher fall risk. We aimed to investigate the impact of poststroke disability and stroke type on fracture risk at various sites compared with matched controls. METHODS: This retrospective cohort study used data from the Korean National Health Insurance System database (2010-2018), including patients with stroke and 1:1 matched controls. Stroke survivors were grouped based on the presence and severity of their poststroke disability and stroke type. The primary outcome was a newly diagnosed fracture, analyzed by Cox proportional hazard regression analyses adjusting for potential confounders. RESULTS: Among 223 358 stroke survivors (mean age, 64.8±10.9 years; 61.2% men), 16 344 fractures occurred during a mean follow-up of 3.7±2.5 years. In matched controls (n=322 161; mean age, 65.4±11.2 years; 61.3% men), 20 398 fractures were identified. Stroke survivors had increased overall fracture risk compared with matched controls (adjusted hazard ratio [aHR], 1.40 [95% CI, 1.37-1.43]). Specifically, hip fracture risk was even greater in stroke survivors (incidence rate per 1000 person-years, 4.7 [95% CI, 4.5-4.8]; aHR, 2.42 [95% CI, 2.30-2.55]) than controls (incidence rate, 2.2 [95% CI, 2.1-2.3]). The risk of vertebral fractures (aHR, 1.29 [95% CI, 1.25-1.34]) and other fractures (aHR, 1.19 [95% CI, 1.15-1.23]) was also higher than that of the control group. Hip fracture risk was the highest among stroke survivors with severe poststroke disability (aHR, 4.82 [95% CI, 4.28-5.42]), although vertebral or other fracture risk was the highest among those with mild poststroke disability. No significant difference in fracture risk was found between hemorrhagic and ischemic stroke survivors when stratified by disability status. CONCLUSIONS: Our findings showed increased subsequent fracture risk among stroke survivors, particularly those with poststroke disability and for hip fracture. Bone health assessment and treatment should be emphasized as an essential part of stroke management.

Risk of depression and anxiety in multiple sclerosis and neuromyelitis optica spectrum disorder: A nationwide cohort study in South Korea.

BACKGROUND: We investigated the risks of depression/anxiety in patients with multiple sclerosis (pwMS) or patients with neuromyelitis optica spectrum disorder (pwNMOSD). OBJECTIVES: MS/NMOSD cohorts were collected from Korean National Health Insurance Service, using the International Classification of Diseases-10th and information on Rare Intractable Disease program. Patients who were younger than 20 years, had a previous depression/anxiety, or died in the index year were excluded. METHODS: Hazard ratios (HRs) of depression/anxiety in pwMS and pwNMOSD from controls matched 1:5 for age, sex, hypertension, diabetes, and dyslipidemia were calculated using Cox regressions with a 1-year lag period and estimated over time. RESULTS: During a mean follow-up of 4.1 years, adjusted hazard ratios (aHR) for depression were 3.25 (95% confidence interval (CI) = 2.59-4.07) in MS and 2.17 (1.70-2.76) in NMOSD, and aHRs for anxiety were 1.83 (1.49-2.23) in MS and 1.56 (1.26-1.91) in NMOSD. The risks of anxiety/depression did not differ between MS and NMOSD and were highest in the second year after diagnosis of MS/NMOSD. The relative risk of depression was higher in younger pwMS/pwNMOSD, and the relative risk of anxiety was higher in pwMS who was male, had low income, or lived in a non-urban area. CONCLUSION: The risk of depression and anxiety was increased in pwMS/pwNMOSD.

Risk of fracture among patients with spinal cord injury: A nationwide cohort study in South Korea.

BACKGROUND: Clinical concerns about preventing and managing fractures after spinal cord injury (SCI) have been growing. OBJECTIVE: This study investigates the risk of fractures among SCI patients according to the presence of disability, disease severity, and level of injury. METHODS: We performed a retrospective cohort study using the Korean National Health Insurance Service (KNHIS 2010-2018) database. We included 5190 SCI patients and 1:3 age- and sex-matched control participants. The primary outcome was fracture, and the cohort was followed until December 31, 2019. RESULTS: SCI patients had a higher fracture risk than the matched controls (adjusted hazard ratio [aHR] 1.33, 95 % CI 1.16-1.54). The risk of fracture was higher in the presence of disability (aHR 1.57, 95 % CI 1.19-2.07), especially among patients with severe disability (aHR 1.65, 95 % CI 1.05-2.60). Higher fracture risks were observed among SCI patients regardless of injury level, but statistical significance was found only with cervical-level injury. When we considered site-specific fractures, vertebral (aHR 1.31, 95 % CI 1.04-1.64) and hip fracture risks (aHR 2.04, 95 % CI 1.39-2.98) were both higher among SCI patients than the controls. SCI patients with disability and cervical-level injury showed the highest hip fracture risk (aHR 3.67, 95 % CI 1.90-7.07). CONCLUSIONS: Compared with the controls, SCI patients were at higher risk of any fracture, particularly hip fracture, especially those with disability and cervical-level injury. Clinicians should be aware of the fracture risk among SCI patients to provide proper management.

Association of physical activity with fractures in kidney transplant recipients: A Korean nationwide cohort study.

Kidney transplant recipients are at high risk for fractures, primarily due to post-transplant bone disease. This retrospective cohort study analyzed data from the Korean National Health Insurance Service, including 10 083 kidney transplant recipients examined from 2009 to 2017. We assessed fracture incidence, emphasizing vertebral and hip fractures, and the association of physical activity and traditional risk factors with fracture risk. Kidney transplant recipients were categorized into three groups according to physical activity levels: non-activity, metabolic equivalent of task (MET) 1-499, and MET ≥500. Physical activity was associated with a decreased risk of all types of fractures: any (MET 1-499: adjusted hazard ratio (aHR) .75; 95% confidence interval (CI) .62-.92, MET ≥500: aHR .84; 95% CI .70-1.00), vertebral (MET 1-499: aHR .69; 95% CI .49-.98, MET ≥500: aHR .67; 95% CI .49-.91), and hip (MET 1-499: aHR .43; 95% CI .23-.81) fractures. Additionally, older age, female sex, and diabetes were associated with an increased fracture risk. The assessment of physical activity and traditional risk factors could improve fracture risk prediction. Our findings emphasize the need for further research to establish optimal physical activity recommendations for fracture prevention in kidney transplant recipients.

Association of Types of Meal Skipping with Cardio-metabolic Risk Factors in Korean Adults: The 7th Korea National Health and Nutrition Examination Survey (2016-2018).

Background: This study aimed to examine the effects of different types of skipped meals on cardiometabolic risk factors (CMRF) in Korean adults. Methods: We analyzed 14,062 adults from the Korea National Health and Nutrition Examination Survey conducted between 2016 and 2018. The irregularity of breakfast, lunch, and dinner consumption was assessed using 24-hour recall data, and we categorized the habit of skipping regular meals into eight types. Multiple linear regression was used to estimate the association between each type of meal skipping and the CMRF. We also presented the estimated effects of individual types of meal skipping on the CMRF based on their predicted values and mean differences. Results: Korean adults tended to have irregular meal consumption habits when they had one or more of the following characteristics: female sex, under the age of 50 years, middle-high to high household income, high school or college or higher education levels, alcohol consumption, and current smoking. Compared to regular eaters, we have observed significantly higher total cholesterol in the following types of meal skipping: irregular breakfast (IB) (P<0.001), irregular lunch (P=0.005), irregular breakfast and lunch (IBL) (P=0.001), irregular breakfast and dinner (P=0.001); higher low-density lipoprotein-cholesterol in IB (P=0.009); higher triglyceride in IB (P=0.005) and IBL (P=0.034); and higher fasting glucose in IB (P=0.046). Conclusion: Different types of meal skipping were associated with CMRF. Regular breakfast and lunch consumption should be emphasized to prevent and manage cardiometabolic disorders. However, skipping dinner showed no significant association with CMRF.