Depressive Symptoms and Burnout Among Medical Students: a Prospective Study.

BACKGROUND: Depressive symptoms and burnout are common among medical students. However, few studies have investigated their trajectory over the course of medical school. OBJECTIVE: Evaluate year-by-year changes in depressive and burnout symptoms over the course of medical school training. DESIGN: Prospective study. PARTICIPANTS: Medical students who matriculated at a private medical school in Maryland from 2010 to 2016 (n=758). MAIN MEASURES: Clinically significant depressive symptoms were defined as a score of ≥10 on the 9-item Patient Health Questionnaire (PHQ-9), and burnout was measured using the Maslach Burnout Inventory (MBI). High emotional exhaustion, high depersonalization, and low personal accomplishment were defined as scores of ≥ 27, ≥10, and ≤33 on the respective MBI subscales. KEY RESULTS: At matriculation, the prevalences of significant depressive symptoms, high emotional exhaustion, high depersonalization, and low personal accomplishment were 4.3%, 9.4%, 8.6%, and 37.7%, respectively. After adjustment for age, sex, race/ethnicity, marital status, and cohort, compared with year 1, the odds of significant depressive symptoms was significantly higher at the beginning of the 2nd, 3rd, and 4th years of study (ORs=2.63, 2.85, and 3.77, respectively; all ps<0.001). Compared with the 1st year, the odds of high emotional exhaustion also increased during the 2nd, 3rd, and 4th years of study, (ORs=3.46, 4.79, 8.20, respectively; all ps<0.001), as did the odds of high depersonalization (ORs=3.55, 6.14, 12.53, respectively; all ps<0.001). The odds of low personal accomplishment did not significantly differ across years of study. CONCLUSIONS: The results of this study suggest that symptoms of depression and burnout may increase during medical school. Because of the high prevalence of depressive symptoms and burnout in medical students, interventions earlier in the medical career pathway that aim to prevent, detect, and treat these symptoms may be of benefit to the physician community.

Medicare Beneficiaries With Self-Reported Functional Hearing Difficulty Have Unmet Health Care Needs.

Hearing loss is associated with higher health care spending and use, but little is known about the unmet health care needs of people with hearing loss or difficulty. Analysis of 2016 Medicare Current Beneficiary Survey data for beneficiaries ages sixty-five and older reveals that those who reported a lot of trouble hearing in the past year were 49 percent more likely than those who reported no trouble hearing to indicate not having a usual source of care. Compared with those who reported no trouble hearing, those who reported some trouble hearing were more likely to indicate not having obtained medical care in the past year when they thought it was needed, as well as not filling a prescription, with the risk for both behaviors being greater among those reporting a lot of trouble hearing versus a little. Interventions that improve access to hearing services and aid communication may help older Medicare beneficiaries meet their health care needs.

Effects of carbohydrate quality and amount on plasma lactate: results from the OmniCarb trial.

INTRODUCTION: Plasma lactate is a marker of non-oxidative glucose metabolism associated with progression to diabetes. We examined the effect of carbohydrate quality (glycemic index (GI)) and amount (%kcal) on plasma lactate. We hypothesized that low GI (≤45 (g)) versus high (≥65 (G)) and low %kcal from carbohydrate (40% kcal (c)) versus high (58% kcal (C)) each would reduce lactate levels. RESEARCH DESIGN AND METHODS: We measured lactate in OmniCarb, a randomized, cross-over trial of four diets in overweight/obese adults without diabetes or cardiovascular disease (N=163). The four diets were high carbohydrate+high GI (CG, reference), high carbohydrate+low GI (Cg), low carbohydrate+high GI (cG), and low carbohydrate+low GI (cg). Participants (N=163) consumed each of the four diets over a 5-week period, separated by 2-week washout periods. Plasma lactate levels were measured at baseline, during which the participants consumed their own diets, and after each 5-week period. RESULTS: Baseline plasma lactate was 1.2 mmol/L. In the setting of high carbohydrate amount, reducing GI lowered plasma lactate non-significantly by 0.08 mmol/L (Cg vs CG: 95% CI -0.16 to 0.00; p=0.06). In the setting of high GI, reducing carbohydrate amount lowered plasma lactate by 0.10 mmol/L (cG vs CG: 95% CI -0.19 to -0.02; p=0.02). The combined effect of reducing GI and carbohydrate proportion in the diet (cg vs CG) was similar (cg vs CG: -0.08; 95% CI -0.16 to 0.00; p=0.04). All four diets reduced plasma lactate compared with baseline. CONCLUSIONS: Compared with a diet with high GI and high carbohydrate amount, diets with low GI and/or low carbohydrate amount reduced plasma lactate. Whether this change in lactate leads to long-term change in glucose metabolism needs to be examined. TRIAL REGISTRATION NUMBER: NCT00608049.

Trends in user ratings and reviews of a popular yet inaccurate blood pressure-measuring smartphone app.

Objective: To understand whether user reviews of Instant Blood Pressure (IBP), an inaccurate, unregulated BP-measuring app reflected IBP's inaccuracy, to understand drivers for high and low ratings, and to understand if disclaimers prevented medical use. Materials and Methods: All iTunes app reviews for IBP v1.2.3 were downloaded and assessed for themes by two reviewers. Summary statistics for themes were tabulated with their associated star ratings. Results: Common themes included perceived accuracy (42% of all reviews, star rating mean 4.8, median 5), inaccuracy (10%, 2.0, 1), and convenience (34%, 4.7, 5). Nine percent documented IBP use in medical conditions (4.6, 5), and 2% mentioned IBP's disclaimer (2.7, 3). Discussion: User reviews and ratings of a popular, inaccurate BP-measuring app were positive and uncommonly commented on its inaccuracy. Disclaimers attempting to prevent medical use of the app were ineffective. These findings support the need for more rigorous regulatory review of apps prior to their release.

Characteristics associated with fasting appetite hormones (obestatin, ghrelin, and leptin).

Obestatin, derived from the same gene as the hunger hormone ghrelin, may reduce food intake in animals. The role of obestatin in human physiology is unclear. We evaluated cross-sectional associations between participant characteristics and fasting levels of obestatin as well two other hormones associated with energy balance, ghrelin and leptin. Data are from the baseline visit of the Optimal Macronutrient Intake Trial to Prevent Heart Disease (OMNI-Heart) Trial that enrolled adults with elevated blood pressure (systolic 120-159 mm Hg or a diastolic of 80-99 mm Hg) but who were otherwise healthy. Partial Spearman's correlations and linear regression models estimated the association between age, gender, BMI, physical activity, and smoking with fasting hormones. Obestatin was directly associated with ghrelin (r = 0.45, P < 0.05). On average, overweight (BMI 25-30) and obese (BMI > 30) individuals had obestatin concentrations that were 12.6 (s.d. 8.8) and 25.4 (s.d. 8.4) pg/ml lower compared to normal weight (BMI < 25) individuals, respectively (P for trend = 0.002). Overweight (BMI 25-30) and obese (BMI > 30) individuals had ghrelin concentrations that were 161.7 (s.d. 69.6) and 284.7 (s.d. 66.5) pg/ml lower compared to normal weight (BMI < 25) individuals, respectively (P for trend <0.0001). A 5 unit increase in BMI was associated with 41.3% (s.d. 4.3%) (P < 0.0001) higher leptin. Obestatin and ghrelin are directly correlated and share the same patterns of association with participant characteristics. Modifiable risk factors for chronic diseases, such as BMI, are associated with fasting levels of leptin, obestatin, and ghrelin.