Background: The fear of falling (FOF) has been reported in a high percentage of elderly people. An excessive FOF is a major concern among the elderly because it can lead to permanent disability. However, the impact of FOF on mortality has been insufficiently studied. The aim of this study was to investigate the impact of FOF on mortality among the elderly in Korea. Methods: This was a prospective study carried out using the database of the Korean Longitudinal Study of Aging, a nationwide study of community-dwelling adults in Korea. Study participants included 3,421 adults, aged 65 years or older, without either severe cognitive impairment (Korean version of Mini-Mental Status Examination ≥10), or previous history of cancer. We used Cox proportional hazards models to investigate the association between FOF and all-cause mortality. Results: This study included 1,474 men and 1,947 women. Cox regression showed that participants with FOF had an increased risk of mortality (mild: hazard ratio [HR], 1.25; 95% confidence interval [CI], 1.01−1.54; moderate: HR, 1.59; 95% CI, 1.23−2.05) after adjusting for confounding variables. In a subgroup analysis, FOF was still a significant risk factor of mortality for patients with no previous history of falling after adjusting for other risk factors, as in the full model, except for history of falling (HR, 1.65; 95% CI, 1.27−2.13). Conclusion We found that FOF was a significant risk factor for mortality in the elderly in Korea. Further studies on the effects and mechanism of FOF on mortality are needed.

PURPOSE: We aimed to determine the demographic and epidemiologic variables that are associated with no treatment in lung cancer patients. MATERIALS AND METHODS: Patient data were collected from the Korean National Health Insurance Database. The lung cancer group included patients with an initial diagnosis of lung cancer between January 2009 and December 2014. Treated cases were defined as those that underwent surgery, radiation, or chemotherapy until death, after the diagnosis of lung cancer. Risk of no treatment was calculated by multiple logistic regression analysis. RESULTS: Among the 2,148 new cases of lung cancer from 2009 to 2104, 612 (28.4%) were not treated. Risk of no treatment was higher in the following patients: patients in their 60s (odds ratio [OR], 1.18; 95% confidence interval [CI], 0.75 to 1.84), 70s (OR, 3.64; 95% CI, 2.41 to 5.50), and >80 years old (OR, 16.55; 95% CI, 10.53 to 25.03) than those in their 50s; patients with previous myocardial infarction (OR, 2.07; 95% CI, 1.01 to 4.25) or chronic kidney disease (OR, 2.88; 95% CI, 1.57 to 5.30); and patients diagnosed at a non-referral hospital (OR, 1.40; 95% CI, 1.01 to 1.92) or primary care provider (OR, 1.81; 95% CI, 1.43 to 2.29) compared with referral hospital. Low-income patients receiving Medicaid were 1.75 times (95% CI, 1.14 to 2.68) more likely to forgo treatment than high-income patients (upper 20%). Risk was not associated with sex or the year in which the lung cancer was diagnosed. CONCLUSION: Age predominantly determines whether patients with lung cancer undergo anti-cancer treatment.
Diagnosis ; Drug Therapy ; Humans ; Logistic Models ; Lung Neoplasms ; Lung ; Medicaid ; Myocardial Infarction ; National Health Programs ; Primary Health Care ; Referral and Consultation ; Renal Insufficiency, Chronic

BACKGROUND/OBJECTIVES: Weight loss via a mobile application (App) or a paper-based diary (Paper) may confer favorable metabolic and anthropometric changes. SUBJECTS/METHODS: A randomized parallel trial was conducted among 57 adults whose body mass indices (BMIs) were 25 kg/m 2 or greater. Participants randomly assigned to either the App group (n = 30) or the Paper group (n = 27) were advised to record their foods and supplements through App or Paper during the 12-week intervention period. Relative changes of anthropometries and biomarker levels were compared between the 2 intervention groups.Untargeted metabolic profiling was identified to discriminate metabolic profiles. RESULTS: Out of the 57 participants, 54 participants completed the trial. Changes in body weight and BMI were not significantly different between the 2 groups (P = 0.11). However, body fat and low-density lipoprotein (LDL)-cholesterol levels increased in the App group but decreased in the Paper group, and the difference was statistically significant (P = 0.03 for body fat and 0.02 for LDL-cholesterol). In the metabolomics analysis, decreases in methylglyoxal and (S)-malate in pyruvate metabolism and phosphatidylcholine (lecithin) in linoleic acid metabolism from pre- to post-intervention were observed in the Paper group. CONCLUSIONS In the 12-week randomized parallel trial of weight loss through a App or a Paper, we found no significant difference in change in BMI or weight between the App and Paper groups, but improvement in body fatness and LDL-cholesterol levels only in the Paper group under the circumstances with minimal contact by dietitians or health care providers.Trial Registration: Clinical Research Information Service Identifier: KCT0004226