How prices and income influence global patterns in saturated fat intake by age, sex and world region: a cross-sectional analysis of 160 countries

Objective When considering proposals to improve diets, it is important to understand how factors like price and income can affect saturated fat (SF) intake and demand. In this study, we examine and estimate the influence of price and income on intake across 160 countries, by age and sex, and derive sensitivity measures (price elasticities) that vary by age, sex and world region. Design We econometrically estimate intake responsiveness to income and prices across countries, accounting for differences by world region, age and sex. Intake data by age, sex and country were obtained from the 2018 Global Dietary Database. These data were then linked to global price data for select food groups from the World Bank International Comparison Programme and income data from the World Development Indicators Databank (World Bank). Results Intake differences due to price were highly significant, with a 1% increase in price associated with a lower SF intake (% energy/d) of about 4.3 percentage points. We also find significant differences across regions. In high-­ income countries, median (age 40) intake reductions were 1.4, 0.8 and 0.2 percentage points, given a 1% increase in the price of meat, dairy, and oils and fats, respectively. Price elasticities varied with age but not sex. Intake differences due to income were insignificant when regional binary variables were included in the analysis. Conclusion The results of this study show heterogeneous associations among prices and intake within and across countries. Policymakers should consider these heterogeneous effects as they address global nutrition and health challenges.publishedVersio

Improving learning and study strategies in Latin American medical students: A longitudinal study

Online supplementary material regarding a medical education manuscript. <br

Prevalence of depression in older adults living in Ecuador and contributing factors: a population-based study

Objective To estimate the prevalence of depression in the older population of Ecuador and explore the independent associations of key socio-demographic and health-related factors with moderate/severe depression.Methods A cross-sectional study was conducted using a national database. The outcome variable was estimated using the Short Form of the Geriatric Depression Scale. A cut-value of &gt;9 was used to ascertain the outcome variable. We conducted bivariate and logistic regression analysis.Results The study sample consisted of 5 235 subjects, with a median age of 70 years, 53.5% were female, and 44.9% of the sample was living in rural areas. Our study found a prevalence of any depression of 35.4%. Individuals were classified as having mild depression (1 239, 23.7%), moderate depression (457, 8.7%), and severe depression (156, ~3%). The prevalence of moderate/severe depression was of 11.7%. Among socio-demographic factors, no education (OR=3.69 [95% CI: 1.35-11.94]), Afro-Ecuadorian race (OR= 2.1 [1.03-4.06]), living alone (OR=2.37 [1.67-3.31]), perception of insufficient income (OR= 3.56 [2.14-6.38]), and suffering physical abuse (OR=2.33 [1.59-3.36]) remained statistically significant. Among health-related factors, drinking alcohol (OR=0.27 [0.08-0.66]), exercise (OR=1.68 [1.24-2.31]), incontinence (OR=2.00 [1.54-2.59]), lower perception of hearing (OR=2.19 [1.41-3.32]), cancer (OR=1.90 [1.00-3.51]), and being functionally dependent (OR=1.59 [1.22-2.08]) remained statistically significant.Conclusions Our investigation brings light to an important public health problem in Ecuador. Addressing depression and its contributing factors may help to improve the quality of life and long-term health outcomes in Ecuador’s growing older population.</jats:p