Assessment of ultra processed foods consumption in Senegal: validation of the Nova-UPF screener.

BACKGROUND: Ultra-processed foods (UPF), as proposed by the Nova food classification system, are linked to the development of obesity and several non-communicable chronic diseases and deaths from all causes. The Nova-UPF screener developed in Brazil is a simple and quick tool to assess and monitor the consumption of these food products. The aim of this study was to adapt and validate, against the 24-hour dietary recall, this short food-based screener to assess UPF consumption in the Senegalese context. METHODS: The tool adaptation was undertaken using DELPHI methodology with national experts and data from a food market survey. Following the adaptation, sub-categories were renamed, restructured and new ones introduced. The validation study was conducted in the urban area of Dakar in a convenience sample of 301 adults, using as a reference the dietary share of UPF on the day prior to the survey, expressed as a percentage of total energy intake obtained via 24-hour recall. Association between the Nova-UPF score and the dietary share of UPF was evaluated using linear regression models. The Pabak index was used to assess the agreement in participants' classification according to quintiles of Nova-UPF score and quintiles of the dietary share of UPF. RESULTS: The results show a linear and positive association (p-value < 0.001) between intervals of the Nova-UPF score and the average dietary share of UPF. There was a near perfect agreement in the distribution of individuals according to score's quintiles and UPF dietary share quintiles (Pabak index = 0.84). CONCLUSION: The study concluded that the score provided by the Nova-UPF screener adapted to the Senegalese context is a valid estimate of UPF consumption.

Prepregnancy maternal BMI and trajectories of BMI-for-age in children up to four years of age: findings from the 2015 Pelotas (Brazil) birth cohort.

BACKGROUND: The aims of the study were to: (a) describe BMI-for-age trajectories in children up to four years of age; (b) evaluate the association between prepregnancy maternal BMI and the BMI-for-age trajectories. METHODS: Data from 3218 (75.3% of the original cohort) children from the Pelotas 2015 Birth Cohort were analyzed. Prepregnancy BMI (kg/m2) was measured on the perinatal interview. Z-scores of BMI-for-age were calculated for children at three months, 1, 2 and 4 years. Trajectories were identified using a semi-parametric group-based modeling approach. Multinomial logistic regression was used to test the association between prepregnancy BMI (weight excess: BMI ≥ 25 kg/m2) and BMI-for-age trajectories. RESULTS: Four trajectories of the BMI-for-age, in z-score, were identified and represent children in the "increasing", "adequate", "stabilized" and "risk for weight excess" group. A total of 196 children (7.1%) belonged to the group that was at risk of weight excess. Adjusted analyses showed that children whose mothers presented prepregnancy weight excess had 2.36 (95%CI 1.71; 3.24) times more risk of belonging to group "risk for weight excess" when compared to those children whose mothers presented underweight/normal weight before pregnancy. CONCLUSION: The risk of weight excess in children up to 4 years of age were greater in mothers who presented prepregnancy weight excess.

Consumption of ultra-processed foods at 11, 22 and 30 years at the 2004, 1993 and 1982 Pelotas Birth Cohorts.

OBJECTIVE: To describe the consumption of ultra-processed foods according to demographic and socioeconomic characteristics in three birth cohorts. DESIGN: Cross-sectional analysis. SETTING: Data from the 2004, 1993 and 1982 Pelotas Birth Cohorts were used at 11, 22 and 30 years, respectively, collected between 2012 and 2015. Outcome was the relative contribution of ultra-processed foods from the total daily energy intake. Maternal-independent variables were self-reported skin colour, schooling, age and family income (obtained in the perinatal study), and variables of the cohort member, sex, skin colour, schooling and current family income (the last two obtained at the 11-, 22- and 30-year follow-ups of the respective cohorts). We calculated crude and adjusted means of the outcome for the whole cohorts and according to the independent variables. PARTICIPANTS: 11-, 22- and 30-year-old individuals. RESULTS: Daily energetic contribution from ultra-processed foods was higher in the younger cohort (33·7, 29·8 and 25·1 % at 11, 22 and 30 years, respectively). Maternal schooling and family income at birth showed an inverse dose-response relationship at 11 and 22 years, but a positive dose-response at 30 years. Female sex, lower schooling and family income at 22 years and higher schooling at 30 years were associated to a higher contribution from ultra-processed foods in the daily energy intake. CONCLUSIONS: Information from food and nutrition policies needs a higher dissemination, mostly among women and population groups of lower income and schooling, including its promotion in media and health services, aiming for a decreased consumption of ultra-processed foods.

Body mass index and mortality among community-dwelling elderly of Southern Brazil.

This study aims to measure the association between body mass index (BMI), comparing two different classifications, and mortality among community-dwelling elderly considering myopenia in Pelotas, Brazil. This is a longitudinal study started in 2014, we followed 1451 elderly people (≥ 60 years) enrolled in the "COMO VAI?" study. BMI was classified according to the World Health Organization (WHO) and the classification with specific cutoff points for older adults. Myopenia was measured by calf circumference (≤33 cm for women and ≤34 cm for men). Cox proportional-hazards models were used to test associations controlling for sociodemographic and behavioral characteristics and number of morbidities. Nearly 10% (N = 145) of the elderly died during almost three years of follow-up. We observed a L-shaped relation between BMI and mortality. Elderly with underweight had a higher mortality risk compared to those with adequate BMI in both classifications. According to the WHO classification, overweight elderly presented protection for mortality (HR: 0.58; 95% CI 0.38-0.87) when compared to those with adequate BMI. Among elderly with myopenia, overweight by WHO continued to protect against mortality, although not significantly, while those with the specific classification underweight presented a higher risk of death compared to those with normal weight (HR: 2.09; 95% CI 1.06-4.14). In conclusion the underweight increased the risk of death in community-dwelling elderly people during a follow-up of three years. The specific classification seemed to be more adequate to indicate risk of mortality in this population. Higher BMI protect against mortality when muscle mass was not considered.