Misreporting of Energy Intake Is Related to Specific Food Items in Low-Middle Income Chilean Adolescents

Associations between fruit and vegetable intakes and incident depression in middle-aged and older adults from 10 diverse international longitudinal cohorts

BACKGROUND

Emerging observational evidence supports a role for higher fruit and vegetable intake in protecting against the development of depression. However, there is a scarcity of research in older adults or in low- to middle-income countries (LMICs).

METHODS

Participants were 7801 community-based adults (mean age 68.6 ± 8.0 years, 55.8 % female) without depression, from 10 diverse cohorts, including four cohorts from LMICs. Fruit and vegetable intake was self-reported via comprehensive food frequency questionnaire, short food questionnaire or diet history. Depressive symptoms were assessed using validated measures, and depression defined applying validated cut-offs. The associations between baseline fruit and vegetable intakes and incident depression over a follow-up period of three to nine years were examined using Cox regression. Analyses were performed by cohort with results meta-analysed.

RESULTS

There were 1630 cases of incident depression (21 % of participants) over 40,258 person-years of follow-up. Higher intake of fruit was associated with a lower risk of incident depression (HR 0.87, 95%CI [0.77, 0.99], I2 = 4 %). No association was found between vegetable intake and incident depression (HR 0.93, 95%CI [0.84, 1.04], I2 = 0 %).

LIMITATIONS

Diverse measures used across the different cohorts and the modest sample size of our study compared with prior studies may have prevented an association being detected for vegetable intake.

CONCLUSIONS

Our study supports a role for fruit, but not vegetable intake in protecting against depression. Research investigating different types of fruits and vegetables using standardised measures in larger cohorts of older adults from low- and middle-income countries is warranted.

Dietary patterns and indicators of cardiometabolic risk among rural adolescents: A cross-sectional study at 15-year follow-up of the MINIMat cohort

Background

Diet being a modifiable factor, its relationship with cardiometabolic risk is of public health interest. The vast majority of studies on associations of dietary patterns with cardiometabolic risk indicators among adolescents are from high-income countries and urban settings. We sought to describe dietary patterns and examine their associations with selected cardiometabolic risk indicators-waist circumference (WC), systolic blood pressure, fasting lipid profile and insulin resistance-along with its gender stratification among adolescents in a low-income, rural setting.

Methods

This cross-sectional study utilized data from the 15-year follow-up of the Maternal and Infant Nutrition Interventions in Matlab (MINIMat) cohort in southeast Bangladesh. The children who were born as singletons to the mothers randomized in the MINIMat trial and had valid birth anthropometrics were eligible for the follow-up. We employed a single, qualitative 24-hour recall to assess diet. Dietary patterns were derived from simple K-means cluster analysis, and calculation of dietary diversity score (DDS) using a validated instrument. Anthropometric parameters and systolic blood pressure were recorded. Fasting plasma triglyceride, total cholesterol, low- and high-density lipoproteins, insulin and glucose levels were measured. We calculated insulin resistance using the Homeostasis Model Assessment equation (HOMA-IR). Three right-skewed outcome variables were natural log (Ln) transformed: WC, triglyceride and HOMA-IR. Omnibus and gender-specific multiple linear regression models were fitted.

Results

Among 2,253 adolescents (52.1% girls, 7.1% overweight/obese), we identified four diet clusters: Traditional, Fish-dominant, Meat-dominant, and High-variety. No significant associations were found between the clusters and indicators. On gender-stratification, triglyceride levels were lower among boys in the Fish-dominant (Ln-triglyceride βadjusted: -0.09; 95% confidence interval (CI): -0.15, -0.02) and Meat-dominant (Ln-triglyceride βadjusted: -0.08; 95% CI: -0.15, -0.004) clusters than among boys in the Traditional cluster. Compared to boys in the bottom quartile of DDS, boys in the top quartile had 2.1 mm of Hg (95% CI: 0.5, 3.6) higher systolic blood pressure and 1.9% (95% CI: 0.01-3.8%) higher WC.

Conclusion

While statistically significant, the gender-specific differences in triglyceride, systolic blood pressure, and waist circumference across dietary patterns were small. Associations between dietary patterns and cardiometabolic risk indicators may require a time lag beyond mid-adolescence to manifest in a rural setting. Prospective studies are warranted to delineate the magnitude and direction of those associations.

Underreporting of energy intake is not associated with the reported consumption of NOVA-classified food groups in socially vulnerable women

Few studies have investigated which types of food are least reported among underreporters of energy intake (EI). This study assessed the association between the underreporting of EI and the consumption report of food groups according to NOVA classification in women in social vulnerability. EI was measured through three 24-h dietary recalls administered by the research team. Total energy expenditure (TEE) was evaluated using the doubly labelled water method. The percentage of EI arising from each NOVA group food classification (unprocessed/minimally processed foods, culinary ingredients, processed foods and ultra-processed foods [UPF]) was calculated. The agreement between the EI and the TEE was assessed using the ratio EI:TEE. Associations were assessed with Pearson's correlation and multivariable linear regression, adjusted for age, education and body fat. The sample (63 women, age: 30.8 years, Body Mass Index: 27.6 kg/m² ) reported an EI of 1849 kcal and a TEE of 2223 kcal, with a mean EI:TEE of 0.85. There were no significant correlations between the EI:TEE and the reported food intake according to NOVA classifications. Multivariable linear regression also did not show any significant associations (UPF: 8.47, 95% CI: [-3.65; 20.60] %kcal; Processed: -6.85, [-19.21; 7.71] %kcal; Culinary ingredients: 1.30 [-5.10; 7.71] %kcal; Unprocessed/minimally processed: -2.92 [-10.98; 5.13] %kcal). In conclusion, socially vulnerable women that underreport their EI do not report a lower intake of any specific group of foods according to NOVA classification.