Sex Differences in Healthy Eating: Investigating the Moderating Effect of Self-Efficacy.

OBJECTIVES: This study aimed to evaluate sex differences in dietary habits and the moderating effect of self-efficacy on the adoption of a healthy diet. DESIGN: Cross-sectional study. SETTING: The healthy population of Tehran, Iran. PARTICIPANTS: A total of 262 participants from the general population with normal health status. MAIN OUTCOME MEASURE: The adoption of a healthy diet was based on the Healthy Eating Index-2015 (HEI-2015) scores and the moderating effect of self-efficacy on eating behaviors. ANALYSIS: Logistic regression analysis and multiple linear regression (moderation) analysis were conducted using PROCESS macro (version 3.5). RESULTS: The sex-based analysis revealed that females were more likely to adopt a healthy diet vs males (adjusted odds ratio, 1.85; 95% confidence interval, 1.02-3.35). The moderation analysis showed that eating behavior self-efficacy significantly moderated the relationship between sex differences and HEI-2015 scores (ΔR2 = 0.01; P = 0.033). Males with low self-efficacy scores had the highest difference in HEI-2015 with females with low self-efficacy scores, whereas the difference in HEI-2015 was very small in males and females with high self-efficacy scores. CONCLUSIONS AND IMPLICATIONS: Eating behavior self-efficacy had a significantly decreasing moderating effect on sex differences in the adoption of a healthy diet. Future research needs to clarify the impact of eating`` behavior self-efficacy in the adoption of a healthy diet, particularly in males, and to confirm the study's findings.

Body mass index and risk of Parkinson, Alzheimer, Dementia, and Dementia mortality: a systematic review and dose-response meta-analysis of cohort studies among 5 million participants.

Objective: Inconsistent results regarding the association between the Body Mass Index (BMI) and brain disorders have been reported. We performed this study to investigate the association between BMI and risk of Parkinson, Alzheimer, Dementia and Dementia-mortality.Methods: A systematic search was conducted up to April 2019 in MEDLINE/PubMed, SCOPUS, and Cochrane Library. Results pooled with random-effects model.Results: Totally, 29 articles which were included in this study with4,978,621 participants. The pooled HR for Parkinson's in the underweight person was 1.20 (95%CI1.10-1.30). The pooled HR for dementia in underweight and overweight category was 1.23 (95%CI = 1.05-1.45) and 0.88 (95%CI = 0.83-0.94), respectively. There is not any significant relation between each categories of BMI and Alzheimer disease. The pooled HR for dementia in underweight and overweight category was 1.36 (95%CI = 1.14-1.63) and 0.81 (95%CI = 0.49-1.33), respectively. The non-linear association between BMI and risk of Dementia-mortality was significant (p = 0.001,Coeff = 0.003).Conclusion: This study highlights underweight related to increase incidence of Parkinson, Dementia, and Dementia mortality but no on Alzheimer disease.

The health effects of medical nutrition therapy by dietitians in patients with diabetes: A systematic review and meta-analysis: Nutrition therapy and diabetes.

AIMS: Intensive lifestyle, dietary interventions and patient education have been recommended as key milestones in to facilitate the management of Diabetes and contain the growing incidence. We performed a systematic review and meta-analysis to assess the health benefits of medical nutrition therapy among patients with diabetes. DESIGN: A systematic search was performed in MEDLINE/PubMed, SCOPUS, and Cochrane library from onset up to February 2019 to identify trials investigating the health effect of Medical nutrition (MNT) in patients with diabetes. Random-effects models were used to calculate the effect sizes as weighted mean difference (WMD) and 95% confidence intervals (CI). RESULTS: Eleven studies containing 1227 participants were included in the meta-analysis. Pooled results showed a significant reduction in Fasting blood sugar (FBS) (WMD= -8.85mg/dl, 95% CI: -14.41, -3.28), HbA1c (WMD: -0.43%, 95% CI: -0.69, -0.17), weight (WMD: -1.54kg, 95% CI: -2.44, -0.64), Body mass index (BMI) (WMD: -0.34 Kg/m2, 95% CI: -0.52, -0.17), waist circumference (WMD: -2.16cm, 95% CI: -4.09, -0.23), cholesterol (WMD: -4.06mg/dl, 95% CI: -7.31, -0.81), Systolic blood pressure (SBP) (WMD: -7.90mmHg, 95% CI: -13.03, -2.77). Results of meta-regression analysis based on age of participants and duration of intervention were not significant. CONCLUSIONS: Patients with diabetes who received medical nutrition therapy showed significant improvements in outcome measures of FBS, HbA1c, weight, BMI, waist circumference, cholesterol, and SBP.

New anthropometric indices or old ones: Which is the better predictor of body fat?

BACKGROUND: The percent and distribution of body fat are important factors in the pathogenesis of numerous diseases. Our aim was to investigate common anthropometric indices in their relationship with body fat content. METHODS: In a cross-sectional study 1360 healthy individuals (580 men and 780 women) in a cluster sampling, from Ahvaz, Iran, body fat content (using bioelectrical impedance) and anthropometric measurements [weight, waist circumference, a body shape index, abdominal volume index, body adiposity index, conicity, body mass index, hip circumference, waist to hip ratio and waist to height ratio] was obtained. The ROC curve analysis was used to compare each index with body fat percent. RESULTS: Significant difference was found between men and women in all anthropometric parameters (p < 0.001). Women displayed higher percentages in the overweight and obese categories (33.6% vs. 32.9% and 26.4% vs. 22.1%, respectively). In both men and women, the strongest correlations were seen between body fat percent and BMI, AVI and WHtR (r>7.9 and p<0.001). BMI, WHtR and AVI in men and BAI, BMI and WHtR in women showed the most accuracy for estimating body fat percent, respectively. CONCLUSION: All anthropometric parameters could predict body fat percent with relatively good power, however BMI, WHtR and AVI are more powerful predictors. Based on our findings, we suggest using the AVI and WHtR instead of other indexes, as they are better able to assess the accumulation of fat in the abdominal area and are able to more accurately assess body fat percent, which are indicators of chronic disease.

Expression of Bcl-2 and Bax after hippocampal ischemia in DHA + EPA treated rats.

To determine the impact of ω3 fatty acids on post-ischemic expression of pro- and anti-apoptotic proteins in hippocampus, male rats were received 10 or 100 mg/kg [Docosahexaenoic acid (DHA) + Ecosapentaenoic acid (EPA); gavage; 21 days before ischemia to 2-10 days after ischemia]. Global cerebral ischemia reperfusion (IR) was performed using the four-vessel occlusion model; ischemia 8 min and reperfusion 6, 48 h and 10 days. IR increased Bcl-2 and Bax expression after 48 h (p < 0.05 and p < 0.01 vs. sham) and 10 days (only Bax; p < 0.05), without significant difference with DHA + EPA groups after 6 h. But after 48 h expression of Bcl-2 increased (p < 0.05 vs. IR) and Bax decreased (p < 0.05). At day 10 after ischemia expression of Bax in DHA + EPA acid groups was less than IR (p < 0.05) and in 100 mg/kg DHA + EPA group Bcl-2 expression was more than IR (p < 0.05). These data suggested that long-term gavage with DHA + EPA increase hippocampal neurons survival for days after ischemia, revealed by increased Bcl-2 and decreased Bax expressions.