Nut Consumption and Depression: Cross-Sectional and Longitudinal Analyses in Two Cohorts of Older Adults.

OBJECTIVES: To assess the cross-sectional and longitudinal associations between nut consumption and depression in two cohorts of older adults. DESIGN, SETTING, PARTICIPANTS AND MEASUREMENTS: The first cohort (Seniors-ENRICA-I or SE-I) included a representative sample of Spanish noninstitutionalized adults aged ≥65 years interviewed in 2010 and 2013. The second cohort (SE-II) included individuals from the Madrid region, Spain, aged ≥65 years interviewed in 2017 and in 2019. Nut consumption was estimated with a validated computer-based diet history. Depression was defined as self-reported physician-diagnosed depression or the use of antidepressants. Logistic regression models were adjusted for the main confounders. The DerSimonian and Laird random-effect method was used to meta-analyze the results from both studies. A participant-level pooled analysis was conducted to examine the robustness of our analyses. RESULTS: The SE-I included 2278 individuals (233 prevalent cases) in the cross-sectional analysis and 1534 (108 incident cases) in the longitudinal analysis; the corresponding figures for SE-II were 2726 (407 prevalent cases) and 1566 (74 incident cases). In the meta-analysis of cross-sectional results from the two studies, compared to consuming <1 serving (30 g) of nuts/week, the odds ratio (95% confidence interval) for depression was 0.90 (0.64, 1.16) for consuming 1 to <3 servings/week and 0.92 (0.70, 1.13) for consuming ≥3 servings/week; the corresponding figures for the longitudinal results were 0.90 (0.41, 1.38) and 0.66 (0.35, 0.97). CONCLUSION: Nut consumption was associated with a lower risk of depression in a pooled longitudinal analysis using data from two cohorts of older adults. Nuts should be recommended as part of a healthy diet in older adults.

Overweight parents are twice as likely to underestimate the weight of their teenage children, regardless of their sociodemographic characteristics.

AIM: It is unclear whether parents' weight affects their ability to recognise whether their teenage children are overweight. This study analysed whether overweight parents assessed their child's weight as well as normal weight parents. METHODS: This cross-sectional study was carried out in Londrina, Brazil, in 2011 and included teenagers between 14 and 17 years of age and their parents or guardians. We recorded the weight and height of the teenagers and asked the parents or guardians to fill in a questionnaire that included how they perceived their child's weight and demographic information. RESULTS: We studied 1231 teenagers - 58.2% girls - and 19.4% were overweight or obese. In 842 (68.4%) of cases both parents replied to the questionnaire. We found that 8.7% of the 1202 mothers and 10.0% of the 871 fathers underestimated how overweight their child was. The adjusted analyses confirmed they were twice as likely to underestimate their child's weight if they were overweight themselves, with an odds ratio of 1.96 for the mothers and 2.04 for the fathers. Sociodemographic characteristics did not affect the results. CONCLUSION: Overweight parents were twice as likely to underestimate the weight of their teenage children, regardless of the sociodemographic characteristics.

Obesity-related eating behaviours in the adult population of Spain, 2008-2010.

Knowledge of the socio-demographic distribution of eating behaviours can aid our understanding of their contribution to the obesity epidemic and help to address healthy eating interventions to those who can benefit most. This cross-sectional study assessed the frequency of self-reported eating behaviours among 11,603 individuals representative of the non-institutionalized Spanish population aged ≥ 18 years in the period 2008-2010. In the adult population of Spain, 24.3% had lunch and 18.2% had dinner away from home >3 times per month. About three-fourths of adults did not plan the amount of food to be eaten, and did not choose light foods and/or skim dairy products. Also, 26% did not trim visible fat from meat, and 74.7% usually ate while watching television. Compared with individuals with primary or less education, those with university studies were more likely to remove fat from meat (age- and sex-adjusted odds ratio [aOR] 1.25; 95% confidence interval [CI] 1.08-1.44), and to choose light food and/or skim dairy (aOR 1.50; 95% CI 1.30-1.77), and less likely to eat while watching television (aOR 0.54; 95% CI 0.47-0.63). In conclusion, the prevalence of several obesity-related eating behaviours is high in Spain, which indicates a deficient implementation of dietary guidelines. Socioeconomic inequalities in eating behaviours should also be addressed.

Selected eating behaviours and excess body weight: a systematic review.

The relationship between obesity and the intake of macronutrients and specific foods is uncertain. Thus, there is growing interest in some eating behaviours because they may reflect the joint effect of several foods and nutrients and, thus, increase the likelihood of finding a link to obesity. This study examined the association between selected eating behaviours and excess weight in the general population throughout a systematic review of publications written in English, Spanish or Portuguese identified in a PubMed search up to 31 December 2010. We included 153 articles, 73 of which have been published since 2008. Only 30 studies had a prospective design; of these, 15 adjusted for sociodemographic variables, physical activity and energy or food intake. Moreover, definitions of eating behaviours varied substantially across studies. We found only small or inconsistent evidence of a relationship between excess weight and skipping breakfast, daily eating frequency, snacking, irregular meals, eating away from home, consumption of fast food, takeaway food intake, consumption of large food portions, eating until full and eating quickly. In conclusion, this review highlights the difficulty in measuring human behaviour, and suggests that a more systematic approach is needed for capturing the effects of eating behaviours on body weight.