Effects of Additional Protein Intake on Lean Body Mass in Patients Undergoing Multimodal Treatment for Morbid Obesity.

(1) Multimodal treatment is a standard treatment for patients with obesity. However, weight loss also leads to reductions in fat-free mass. The aim was to investigate whether additional protein intake contributes to better preservation of lean body mass (LBM). (2) A total of 267 obesity patients (age 45.8 years; BMI 47.3 kg/m2) were included in this analysis. For the first 12 weeks of the program, patients were given a formula-based diet of 800-1000 kcal per day. Patients were divided into a control group (CG) (n = 148) and a protein group (PG) (n = 119). The PG was characterized by an additional protein intake with the aim of consuming 1.5 g of protein per kilogram of normalized body weight, whereas the CG had a protein intake of 1 g/kg/d. Bioelectrical impedance analysis was performed at the beginning (t0) and after 12 weeks (t1) of the program. (3) There were no significant differences between the groups with respect to weight loss (p = 0.571). LBM was also significantly reduced in both groups, without significant differences between CG and PG. (4) Increased protein intake had no significant effect on body composition of morbidly obese patients during a 12-week formula-based diet and multimodal treatment.

The Big Five model in rural Southeast Asia: Validation, stability, and its role in household income.

OBJECTIVE: We investigate the applicability of the Big Five model in rural Southeast Asia and thereby challenge recent concerns about the validity of the model in developing countries. METHOD: We use a novel data set on personality traits from rural Thailand and Vietnam (N = 3811 individuals). In our analysis, we (i) assess the factor structure of the data, (ii) test the internal consistency of the items, (iii) compare the traits across two consecutive survey waves, and (iv) employ regressions to demonstrate the economic relevance of the traits. RESULTS: The results demonstrate a five-factor structure that fits the Big Five model. We observe changes in personality traits over time but Cohen's d coefficients only range between 0.06 and 0.21. The average rank-order stability, measured by the test-retest correlation of the Big Five between the two consecutive waves, lies at 0.21. Individual changes in personality traits over time relate to experienced shocks and appear to be largely independent of age, gender, and education. We further find that openness and emotional stability positively correlate with rural incomes. CONCLUSIONS: While there is skepticism, pertaining to the use of personality trait models in developing countries, our study demonstrates that their importance and usage cannot be rejected.