The Association between Dietary Pattern, Obesity, and Glycemic Control of Children and Adolescents with Type 1 Diabetes Mellitus.

AIMS: To evaluate the association between dietary patterns, obesity, and glycemic control in children and adolescents with type 1 diabetes mellitus (T1DM). METHODS: A cross-sectional study was carried out in 2015 at a diabetes reference center in Rio de Janeiro. Sociodemographic data and those related to outpatient follow-ups were obtained from the medical records. The assessment of food consumption was performed using a 24 h food recall. Obesity was defined as body mass index-for-age (BMI-for-age) ≥ +1 z-score. Glycemic control was assessed using glycated hemoglobin (HbA1c). Dietary patterns were generated by factorial analysis, and each individual's adherence to these dietary patterns was determined by the factor loadings and then classified into terciles. RESULTS: The study population included 120 children and adolescents, among whom 5 dietary patterns were identified. The prevalence of obesity was 31.7% (n = 38), and 64.2% (n = 77) of the participants had inadequate glycemic control. We observed that individuals with higher adherence to dietary pattern five, characterized by a greater consumption of ultra-processed foods, had higher odds of having higher HbA1c levels (OR = 3.49; 95% CI = 1.18-11.16). CONCLUSIONS: Higher consumption of ultra-processed foods can be detrimental to glycemic control in children and adolescents. Thus, food intake monitoring is of paramount importance as part of the multidisciplinary care of patients with T1DM.

City-Level Travel Time and Individual Dietary Consumption in Latin American Cities: Results from the SALURBAL Study.

There is limited empirical evidence on how travel time affects dietary patterns, and even less in Latin American cities (LACs). Using data from 181 LACs, we investigated whether longer travel times at the city level are associated with lower consumption of vegetables and higher consumption of sugar-sweetened beverages and if this association differs by city size. Travel time was measured as the average city-level travel time during peak hours and city-level travel delay time was measured as the average increase in travel time due to congestion on the street network during peak hours. Vegetables and sugar-sweetened beverages consumption were classified according to the frequency of consumption in days/week (5-7: "frequent", 2-4: "medium", and ≤1: "rare"). We estimate multilevel ordinal logistic regression modeling for pooled samples and stratified by city size. Higher travel time (Odds Ratio (OR) = 0.65; 95% Confidence Interval (CI) 0.49-0.87) and delay time (OR = 0.57; CI 0.34-0.97) were associated with lower odds of frequent vegetable consumption. For a rare SSB consumption, we observed an inverse association with the delay time (OR = 0.65; CI 0.44-0.97). Analysis stratified by city size show that these associations were significant only in larger cities. Our results suggest that travel time and travel delay can be potential urban determinants of food consumption.

Is city-level travel time by car associated with individual obesity or diabetes in Latin American cities? Evidence from 178 cities in the SALURBAL project.

There is growing evidence that longer travel time by private car poses physical and mental risks. Individual-level obesity and diabetes, two of the main public health challenges in low- and middle-income contexts, could be associated to city-level travel times by car. We used individual obesity and diabetes data from national health surveys from individuals in 178 Latin American cities, compiled and harmonized by the SALURBAL project. We calculated city-level travel times by car using the Google Maps Distance Matrix API. We estimated associations between peak hour city-level travel time by car and obesity and diabetes using multilevel logistic regression models, while adjusting for individual characteristics and other city-level covariates. In our study we did not observe a relationship between city-level peak-hour travel time by car and individual obesity and diabetes, as reported in previous research for individual time spent in vehicles in high-income settings. Our results suggest that this relationship may be more complex in Latin America compared to other settings, especially considering that cities in the region are characterized by high degrees of population density and compactness and by a higher prevalence of walking and public transportation use.

Consumption of ultra-processed foods and incidence of dyslipidemias: the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

Ultra-processed foods (UPF) have been associated with cardiometabolic outcomes, but the literature has still not reported their association with incidence of dyslipidemias, one of the most important risk factors for the occurrence of cardiovascular diseases. The objective of this study was to verify the association between consumption of UPF and incidence of dyslipidemia in Brazilian civil servants at a 4-year follow-up. The study used data from 5,275 participants at baseline and on the first follow-up visit in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). We applied a food frequency questionnaire (FFQ) at baseline and identified UPF from NOVA, classification of foods as to the extent and purpose of processing. The proportion (in weight) of UPF in the total diet was calculated for each participant and categorized in tertiles, corresponding to low (first tertile), medium (second tertile), and high (third tertile) consumption. A mixed-effects logistic model was used to obtain the incidence of dyslipidemia associated with consumption of UPF. Individuals with medium and high consumption of UPF showed increases in the risks of development of isolated hypercholesterolemia by 12% (OR=1.12, CI:1.00-1.27) and 28% (OR=1.28, CI:1.12-1.47), of isolated hypertriglyceridemia by 14% (OR=1.14, CI:1.03-1.26) and 30% (OR=1.30, CI:1.17-1.45), of mixed hyperlipidemia by 21% (OR=1.21, CI:1.05-1.39) and 38% (OR=1.38, CI:1.18-1.62), and of low-HDL by 12% (OR=1.12, CI:1.00-1.24) and 18% (OR=1.18, CI:1.05-1.32), respectively, compared to participants that consumed less UPF. Our findings showed important cardiovascular risk associated with consumption of UPF and a gradient in the consumption´s effect, so these products should be discouraged.

The inflammatory food index and its association with weight gain and incidence of diabetes: Longitudinal Study of Adult Health (ELSA-Brasil).

BACKGROUND AND AIMS: Diet plays a central role in regulating inflammation and is closely related to the development of chronic diseases. We aimed to develop an inflammatory food index (IFI) based on the relationship of food items with biomarkers of inflammation and to evaluate its association with weight gain and type 2 diabetes. METHODS AND RESULTS: A sample of 9909 participants of the ELSA-Brasil study was analyzed. Standardized measurements including interviews, anthropometry, and laboratory exams were performed at baseline and follow-up. A baseline food frequency questionnaire was used to derive IFI scores using reduced rank regression (RRR). The inflammatory pattern derived included 11 pro-inflammatory food groups: processed meat, red meat, pork, sugary soda, and hot dogs. The anti-inflammatory pattern included seven food groups: fruits, nuts, and wine. The IFI score, adjusted through logistic regression for multiple sociodemographic, behavioral, and clinical covariates, including body mass index, predicted the development of a large weight gain (tertile 3 vs. 1: OR = 1.30; 95%CI 1.08-1.55). The score, adjusted for sociodemographic factors through proportional hazard models, predicted incident diabetes (tertile 3 vs. 1: HR = 1.26; 95%CI 1.04-1.52). CONCLUSION: These findings support the hypothesis that subclinical inflammation caused by a pro-inflammatory food pattern, characterized mainly by greater ultra-processed food consumption, underlies weight gain and the development of type 2 diabetes. This study was registered at clinicaltrials.com as NCT02320461.

Development and Application of Healthiness Indicators for Commercial Establishments That Sell Foods for Immediate Consumption.

Studies of food environments lack easy-to-apply indicators for their characterization and monitoring. This study aimed to create and assess the applicability of an a priori classification of establishments that sell foods for immediate consumption and to develop and apply indicators for assessment of the establishments' healthiness. The indicators were grouped by the types of foods sold most frequently at these establishments, according to the extent and purpose of the foods' industrial processing. Four indicators were developed, based on the availability of unprocessed/minimally processed foods (MPF) and ultra-processed foods (UPF) in the establishments. The classification and indicators were applied to commercial food establishments at two Brazilian universities. Descriptive analyses were performed to characterize the food environment for all the establishments and by university. Two proportion indicators assess the relative availability of subgroups of MPF and UPF. The UPF/MPF ratio expresses the relative advantage/disadvantage of the availability of MPF compared to that of UPF. The Healthiness Index or summary score expresses the availability of MPF and the unavailability of UPF. The classification and indicators present good discriminatory power and are easy to operationalize, interpret, and adapt.

Promoting knowledge to policy translation for urban health using community-based system dynamics in Brazil.

BACKGROUND: Effectively bridging the knowledge-policy gap to support the development of evidence-based policies that promote health and well-being remains a challenge for both the research and policy communities. Community-based system dynamics (CBSD) is a participatory modelling approach that aims to build stakeholders' capacity to learn and address complex problems collaboratively. However, limited evidence is available about the contributions of CBSD to knowledge-generating and policy processes across sectors and policy spheres. In the context of a multi-country research project focused on creating an evidence base to inform urban health policies across Latin America, a series of CBSD workshops convened stakeholders from research, policy-making, and other backgrounds working in food and transportation systems. Diverse participants were selected aiming to incorporate multiple perspectives relevant to understanding complex urban systems linked to food and transportation. This study focuses on one of these workshops, whose avenue was São Paulo, Brazil, assembling country-based participants representing local, regional, national, and international institutions with multidisciplinary backgrounds linked to food and transportation systems. OBJECTIVE: The aim of this case study is to explore the perceived influence of one of these workshops on attendees' understandings of food and transportation systems and their relationship to healthy urban environments, with attention to the role of the workshop in supporting knowledge to policy translation for urban health. METHODS: We conducted 18 semi-structured qualitative interviews with attendees one year after their participation in a CBSD workshop held in São Paulo, Brazil. A framework method approach was used to code participants' responses and identify emerging themes. RESULTS: Participants reported that the workshop's group model-building activities influenced their understanding of the knowledge-policy process as it relates to food and transport systems. Workshop contributed to participants' (1) abilities to engage with multisectoral stakeholders, (2) construct a shared language and understanding of urban challenges, (3) improve understanding of the interconnectedness across food and transportation systems, (4) facilitate dialogue across sectors, and (5) apply a systems thinking approach within their sector and professional context. Participants continued to draw on the tools developed during the workshop, and to apply systems thinking to their research and policy-making activities. CONCLUSIONS: CBSD may offer valuable opportunities to connect the research sector to the policy-making process. This possibility may contribute to knowledge to policy translation in the interconnection between the urban context, food and transportation systems, and health.

Web Data Mining: Validity of Data from Google Earth for Food Retail Evaluation.

To overcome the challenge of obtaining accurate data on community food retail, we developed an innovative tool to automatically capture food retail data from Google Earth (GE). The proposed method is relevant to non-commercial use or scholarly purposes. We aimed to test the validity of web sources data for the assessment of community food retail environment by comparison to ground-truth observations (gold standard). A secondary aim was to test whether validity differs by type of food outlet and socioeconomic status (SES). The study area included a sample of 300 census tracts stratified by SES in two of the largest cities in Brazil, Rio de Janeiro and Belo Horizonte. The GE web service was used to develop a tool for automatic acquisition of food retail data through the generation of a regular grid of points. To test its validity, this data was compared with the ground-truth data. Compared to the 856 outlets identified in 285 census tracts by the ground-truth method, the GE interface identified 731 outlets. In both cities, the GE interface scored moderate to excellent compared to the ground-truth data across all of the validity measures: sensitivity, specificity, positive predictive value, negative predictive value and accuracy (ranging from 66.3 to 100%). The validity did not differ by SES strata. Supermarkets, convenience stores and restaurants yielded better results than other store types. To our knowledge, this research is the first to investigate using GE as a tool to capture community food retail data. Our results suggest that the GE interface could be used to measure the community food environment. Validity was satisfactory for different SES areas and types of outlets.

Longitudinal changes in the retail food environment in Mexico and their association with diabetes.

The retail food environment is a potential population-level determinant of diet and nutrition-related chronic diseases, yet little is known about its composition and association with diabetes in low- and middle-income countries. Our objectives were: (1) to describe changes in the composition of the retail food environment in Mexican neighborhoods from 2010 to 2016 and (2) to examine the association between these changes and diabetes cases diagnosed over the same period. Individual level data came from the 2016 Mexican Health and Nutrition Survey (N = 2808 adults). Neighborhood level retail food environment data for 2010 and 2016 came from the National Directory of Economic Units of Mexico. Multilevel logistic regression was used to examine the adjusted association between changes in the neighborhood density per km2 of fruit and vegetable stores, chain convenience stores and supermarkets with diabetes. Small store formats still predominate in Mexico's food environment, however there is evidence of fast increase in chain convenience stores and supermarkets. Adults living in neighborhoods that saw a decline in fruit and vegetable store density and a simultaneous increase in chain convenience store density experienced higher odds of diabetes, compared to adults who lived in neighborhoods where fruit and vegetable and convenience stores did not change (OR 3.90, 95% CI 1.61, 9.48). Considering the complex interplay between store types, understanding the mechanisms and confirming the causal implications of these findings could inform policies that improve the quality of food environments in cities.

Changes of Physical Activity and Ultra-Processed Food Consumption in Adolescents from Different Countries during Covid-19 Pandemic: An Observational Study.

AIM: to describe physical activity and ultra-processed foods consumption, their changes and sociodemographic predictors among adolescents from countries in Europe (Italy and Spain) and Latin America (Brazil, Chile, and Colombia) during the SARS-CoV-2-pandemic period. METHODS: Cross-sectional study via web survey. International Physical Activity Questionnaire (IPAQ) and weekly ultra-processed food consumption data were used. To compare the frequencies of physical activity status with sociodemographic variables, a multinomial logistic and a multiple logistic regression for habitual ultra-processed foods was performed. In final models, p < 0.05 was considered significant. RESULTS: Sample of 726 adolescents, mostly females (59.6%) aged 16-19 years old (54.3%). Adolescents from Latin America presented odds ratio (OR) 2.98 (CI 95% 1.80-4.94) of being inactive and those whose mothers had higher level of education were less active during lockdown [OR 0.40 (CI 95% 0.20-0.84)]. The habitual ultra-processed consumption was also high during this period in all countries, and more prevalent in Latin America. CONCLUSION: A higher prevalence of inactivity was observed in this population, but reductions of physical activity and habitual ultra-processed consumption during the pandemic were more pronounced in Latin America. Our findings reinforce the importance of promoting a healthy lifestyle, i.e., exercise and diet, during periods of social isolation.

Covid-19 Confinement and Changes of Adolescent's Dietary Trends in Italy, Spain, Chile, Colombia and Brazil.

Confinement due to the COVID-19 pandemic can influence dietary profiles, especially those of adolescents, who are highly susceptible to acquiring bad eating habits. Adolescents' poor dietary habits increase their subsequent risk of degenerative diseases such as obesity, diabetes, cardiovascular pathologies, etc. Our aim was to study nutritional modifications during COVID-19 confinement in adolescents aged 10 to 19 years, compare them with their usual diet and dietary guidelines, and identify variables that may have influenced changes. Data were collected by an anonymous online questionnaire on food intake among 820 adolescents from Spain, Italy, Brazil, Colombia, and Chile. The results show that COVID-19 confinement did influence their dietary habits. In particular, we recorded modified consumption of fried food, sweet food, legumes, vegetables, and fruits. Moreover, gender, family members at home, watching TV during mealtime, country of residence, and maternal education were diversely correlated with adequate nutrition during COVID-19 confinement. Understanding the adolescents' nutrition behavior during COVID-19 lockdown will help public health authorities reshape future policies on their nutritional recommendations, in preparation for future pandemics.

Influence of internal migration on body mass index: Results of the ELSA-Brasil study.

OBJECTIVES: To investigate the association between internal migration and body mass index (BMI) in the adult population with data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) and to determine whether the association differs by the urban hierarchical levels (or influence regions) of Brazilian municipalities. METHODS: Baseline data from 13 084 participants aged 35 to 74 (2008-2010) in the ELSA-Brasil were analyzed. A migrant was defined as an individual whose municipality of residence at the beginning of schooling (origin) was different from the municipality of residence at the study baseline (destination). The origin and destination municipalities were classified by urban hierarchical levels, or influence regions, and migration was categorized as nonmigrant, stable migrant, downward migrant, or upward migrant. RESULTS: Of the ELSA-Brasil participants, 51% were migrants. Using gamma regression models, it was observed that for women and men, upward migration was associated with lower mean BMI after adjusting for age, mother's education level, participant's education level, and income. Downward migration, on the other hand, was associated with the highest mean BMI, but this result was statistically significant only for women. CONCLUSION: These findings highlight the role of environmental factors on nutritional status, noting that the effects on BMI may be positive or negative, depending on the trajectory of displacements between origin and destination.

The association between the neighbourhood social environment and obesity in Brazil: a cross-sectional analysis of the ELSA-Brasil study.

OBJECTIVE: To investigate the association between the neighbourhood social environment, including social cohesion, perceived neighbourhood safety, perceived neighbourhood violence, and obesity in Brazil. DESIGN: Cross-sectional study. SETTING: 6 state capitals in Brazil (Salvador, Vitoria, Belo Horizonte, Porto Alegre, Sao Paulo and Rio de Janeiro) PARTICIPANTS: Current or former employees of five federal universities and one research centre in each of the six Brazilian state capitals who were participants of the baseline wave (2008-2010) of the Brazilian Longitudinal Study of Adult Health (n=11 456; 56% women; 56% White, 28% Brown, and 16% Black). PRIMARY OUTCOME MEASURE: Obesity, based on measured weight and height, and defined as having a body mass index ≥30 kg/m2. RESULTS: No associations were found between the neighbourhood social environment and obesity among men. In multilevel logistic regression models adjusted for age, education, skin colour, state of residence, and individual-level social cohesion and perceived violence scores, respectively, women living in the least socially cohesive neighbourhoods and in those perceived as most violent had higher odds of obesity compared with their counterparts (OR=1.25, 95% CI=1.02-1.53; OR=1.28, 95% CI=1.04-1.56, respectively). When stratified by neighbourhood socioeconomic status (SES)-defined based on number of people per household, proportion of children 0-4 years, median income and per cent of white residents at the neighbourhood level-results for social cohesion and for violence remained only for women residing in high SES and low SES neighbourhoods, respectively. CONCLUSIONS: In this civil-servant sample in six large cities in Brazil, the neighbourhood social environment was associated with obesity among women, but not men. Neighbourhood-level interventions to increase social cohesion and reduce violence may help in the prevention of obesity among women in Brazil.

Generational differences in dietary pattern among Brazilian adults born between 1934 and 1975: a latent class analysis.

OBJECTIVE: To identify generational differences in the dietary patterns of Brazilian adults born between 1934 and 1975. DESIGN: A cross-sectional study from the baseline of the multicentre Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) cohort. Year of birth was categorized into three birth generations: Traditionalists (born between 1934 and 1945); Baby Boomers (born between 1946 and 1964); and Generation X (born between 1965 and 1975). Food consumption was investigated using an FFQ. Latent class analysis (LCA) was used to identify data-driven dietary patterns. SETTING: Brazil. SUBJECTS: Individuals (n 15 069) aged 35-74 years. RESULTS: A three-class model was generated from the LCA for each birth generation. Generation X presented higher energy intakes (kJ/kcal) from soft drinks (377·4/90·2) and sweets (1262·3/301·7) and lower energy intakes from fruit (1502·5/359·1) and vegetables (311·3/74·4) than Baby Boomers (283·7/67·8, 1047·7/250·4, 1756·0/419·7 and 365·3/87·3, respectively) and Traditionalists (186·2/44·5, 518·8/124·0, 1947·7/465·5 and 404·6/96·7, respectively). For Baby Boomers and Generation X, we found food patterns with similar structures: mixed pattern (22·7 and 29·7 %, respectively), prudent pattern (43·5 and 34·9 %, respectively) and processed pattern (33·8 and 35·4 %, respectively). Among Traditionalists, we could also identify mixed (30·9 %) and prudent (21·8 %) patterns, and a third pattern, named restricted dietary pattern (47·3 %). CONCLUSIONS: The younger generation presented higher frequencies of consuming a pattern characterized by a low nutritional diet, compared with other generations, indicating that they may age with a greater burden of chronic diseases. It is important to develop public health interventions promoting healthy foods, focusing on the youngest generations.

Consumption of ultra-processed food and obesity: cross sectional results from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) cohort (2008-2010).

OBJECTIVE: To verify if the intake of ultra-processed foods is associated with higher BMI and waist circumference (WC) among participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) cohort. DESIGN: Cross-sectional analysis of the ELSA-Brasil baseline (2008-2010). Dietary information obtained through an FFQ was classified according to characteristics of food processing (NOVA) and used to estimate the percentage energy contribution from ultra-processed foods (i.e. industrial formulations, elaborated from food processing, synthetic constituents and food additives) to individuals' total energy intake. BMI and WC and their respective cut-off points served as response variables. Associations were estimated through linear and multinomial logistic regression models, after adjusting for confounders and total energy intake. SETTING: Six Brazilian capital cities, 2008-2010. SUBJECTS: Active and retired civil servants, aged 35-64 years, from universities and research organizations (n 8977). RESULTS: Ultra-processed foods accounted for 22·7 % of total energy intake. After adjustments, individuals in the fourth quartile of percentage energy contribution from ultra-processed foods presented (ß; 95 % CI) a higher BMI (0·80; CI 0·53, 1·07 kg/m2) and WC (1·71; 1·02, 2·40 cm), and higher chances (OR; 95 % CI) of being overweight (1·31; 1·13, 1·51), obese (1·41; 1·18, 1·69) and having significantly increased WC (1·41; 1·20, 1·66), compared with those in the first quartile. All associations suggest a dose-response gradient. CONCLUSIONS: Results indicate the existence of associations between greater energy contribution from ultra-processed foods and higher BMI and WC, which are independent of total energy intake. These findings corroborate public policies designed to reduce the intake of this type of food.