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BACKGROUND & AIMS: Low-grade systemic inflammation (LGSI) is critical to developing many chronic diseases. In turn, it has been shown that the diet can modulate favorably or unfavorably the inflammatory status. Thus, evaluating the diet from appropriate approaches is fundamental; to do so, there are different proposals for dietary indexes. We aimed to: (i) investigate the association between three well-known dietary indexes and LGSI biomarkers; (ii) test these associations individually or in combination with an indicator of ultra-processed foods (UFPs) intake. (iii) as an additional aim, hypothesizing that all the indexes should be capable of identifying the inflammatory potential of diet, we tested the hypothesis that these indexes agree and correlate with each other. METHODS: Cross-sectional population-based data of adults and older persons (n = 583). Dietary data were obtained through two non-consecutive 24-h dietary recalls (24HDR) and calculated for Dietary Inflammatory Index (DII), Mediterranean-Style Dietary Pattern Score (MSDPS); Brazilian Healthy Eating Index - Revised (BHEI-R) and energy ingested from UPFs (UPFs ratio). An LGSI score was created from some plasma inflammatory biomarkers [C-Reactive Protein (CRP), tumor necrosis factor-alpha (TNF-α), and adiponectin]. Logistic and linear regression models tested the associations between dietary indexes and LGSI score. RESULTS: The MSDPS and DII were significantly associated with our inflammatory score, but the BHEI-R did not. Including UPFs in regression models did not increase the strength of these associations. CONCLUSIONS: From the three scores, the dietary inflammatory index and the Mediterranean-style dietary pattern score (MSDPS) were the ones that showed significant association with the inflammatory biomarker. The combination of the indexes with a ratio of UPF intake did not increase the significance of our analyses. The best agreement between the indexes was found between MSDPS and UPFs ratio; the only pair of indexes considered concordant and correlated was the BHEI-R and DII.

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INTRODUCTION: The Healthy Eating Index (HEI) is a comprehensive measure to assess diet quality. Because of the various factors that influence the nutritional status of older adults, there is a need to adapt an index that assesses the quality of the diet considering the dietary requirements of aging and health promotion. This study aimed to adapt the HEI for older adults, considering their needs for healthy eating. METHODS: Food consumption data was collected by means of three non-consecutive 24-hour food recalls (R24h). For the adaptation of the Healthy Eating Index for Older Adults (HEI-OA), the components and scoring methodology of HEI-2015 were maintained and Brazilian food intake recommendations for the older population were used, which are in line with international recommendations. The validity of the HEI-OA was assessed by four ideal diets, Mann-Whitney's test, Spearman's correlation analysis and Cronbach's coefficient. RESULTS: Content validity of the HEI-OA was confirmed by the maximum score for diets recommended to older adults and by the score between groups with known differences in diet quality. The HEI-OA total score did not correlate with total energy intake (TEI - total energy value: r = -0.141, p > 0.05). The total HEI-OA score showed a statistically significant correlation with several nutrients. These correlations allowed identifying that these nutrients are closely related to the components of the HEI-OA. The internal consistency value for the HEI-OA total score was 0.327, similar to the 2005 and 2010 versions of the HEI. CONCLUSION: The HEI was successfully adapted for use with older adults, presenting validity and reliability. The HEI-OA can be used to assess diet quality in line with international dietary guidelines for healthy aging.

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Background: Poor diet quality in children and adolescents may contribute to decreased immunity and lead to an increased risk of opportunistic diseases. Aim: To investigate diet quality and its relationship to nutritional status in human immunodeficiency virus (HIV)-infected pediatric patients (HIV-PIHIV). Methods: We conducted a cross-sectional study with 87 patients aged between 6 and 19 years carried out in two University Hospitals. Diet quality was analyzed by an adapted Healthy Eating Index (HEI) and nutritional status. The association between HEI with body mass index-for-age (BMI-for-age) and height-for-age was performed using a linear regression model. Clinical, maternal, anthropometric, and dietary data were collected through a semi-structured questionnaire, based on nutrition service protocols. Results: Diet quality was intermediate (median IAS = 54.8 interquartile range: 47.5 to 65.9 points), due to low consumption of fruits, vegetables, and dairy products and high empty calories and sodium by the PPIHIV. The multivariate regression model indicated that HEI was not significant for explaining BMI-for-age [ß = -0.01; 95% CI = (-0.03; 0.01); p 0.40] nor height-for-age [ß = 0.01; 95% CI = (-0.02; 0.03); p 0.51]. However, it was observed that adolescents showed 1 Z-score [95% CI = (-1.6; -0.44); p 0.001] a reduction in BMI-for-age compared with children, and those black patients showed an increase in BMI-for-age Z-score of 0.57 [95% CI = (0.7; 1.1); p 0.03] compared with non-blacks. Conclusion: The diet quality of the HIV-infected children and adolescents was below desired. No association was found between diet quality and inadequate nutritional status of HIV-PIHIV.

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Introduction: Our understanding of HIV-associated gut microbial dysbiosis in children perinatally-infected with HIV (CLWH) lags behind that of adults living with HIV. Childhood represents a critical window for the gut microbiota. Any disturbances, including prolonged exposure to HIV, antiretroviral drugs, and antibiotics are likely to have a significant impact on long-term health, resulting in a less resilient gut microbiome. The objective of our study was to characterize the gut microbiota in CLWH, and compare it with HIV-unexposed and -uninfected children. Methods: We enrolled 31 children aged 3 to 15 years; 15 were CLWH and 16 were HUU. We assessed dietary patterns and quality; quantified soluble and cellular markers of HIV disease progression by flow cytometry, enzyme-linked immunosorbent and multiplex-bead assays, and profiled the gut microbiota by 16S rRNA sequencing. We explored relationships between the gut microbiota, antibiotic exposure, dietary habits, soluble and cellular markers and host metadata. Results: Children had a Western-type diet, their median health eating index score was 67.06 (interquartile range 58.76-74.66). We found no discernable impact of HIV on the gut microbiota. Alpha diversity metrics did not differ between CLWH and HUU. Sex impacted the gut microbiota (R-squared= 0.052, PERMANOVA p=0.024). Male children had higher microbial richness compared with female children. Two taxa were found to discriminate female from male children independently from HIV status: Firmicutes for males, and Bacteroides for females. Markers of HIV disease progression were comparable between CLWH and HUU, except for the frequency of exhausted CD4+ T cells (PD-1+) which was increased in CLWH (p=0.0024 after adjusting for confounders). Both the frequency of exhausted CD4+ and activated CD4+ T cells (CD38+ HLADR+) correlated positively with the relative abundance of Proteobacteria (rho=0.568. false discovery rate (FDR)-adjusted p= 0.029, and rho=0.62, FDR-adjusted p=0.0126, respectively). Conclusion: The gut microbiota of CLWH appears similar to that of HUU, and most markers of HIV disease progression are normalized with long-term ART, suggesting a beneficial effect of the latter on the gut microbial ecology. The relationship between exhausted and activated CD4+ T cells and Proteobacteria suggests a connection between the gut microbiome, and premature aging in CLWH.

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BACKGROUND: An individual's dietary pattern contributes in different ways to the prevention and control of recurrent cardiovascular events. However, the quality of the diet is influenced by several factors. The present study aimed to evaluate the quality of the diet of individuals with cardiovascular diseases and determine whether there is an association between sociodemographic and lifestyle factors. METHODS: This is a cross-sectional study carried out with individuals with atherosclerosis (coronary artery disease, cerebrovascular disease or peripheral arterial disease) recruited from 35 reference centres for the treatment of cardiovascular disease in Brazil. Diet quality was assessed according to the Modified Alternative Healthy Eating Index (mAHEI) and stratified into tertiles. For comparing two groups, the Mann-Whitney or Pearson's chi-squared tests were used. However, for comparing three or more groups, analysis of variance or Kruskal-Wallis was used. For the confounding analysis, a multinomial regression model was used. p < 0.05 was considered statistically significant. RESULTS: In total, 2360 individuals were evaluated: 58.5% male and 64.2% elderly. The median (interquartile range [IQR]) of the mAHEI was 24.0 (20.0-30.0), ranging from 0.4 to 56.0 points. When comparing the odds ratios (ORs) for the low (first tertile) and medium (second tertile) diet quality groups with the high-quality group (third tertile), it was observed that there was an association between diet quality with a family income of 1.885 (95% confidence intervals [CI] = 1.302-2.729) and 1.566 (95% CI = 1.097-2.235), as well as physical activity of 1.391 (95% CI = 1.107-1.749) and 1.346 (95% CI = 1.086-1.667), respectively. In addition, associations were observed between diet quality and region of residence. CONCLUSIONS: A low-quality diet was associated with family income, sedentarism and geographical area. These data are extremely relevant to assist in coping with cardiovascular disease because they enable an assessment of the distribution of these factors in different regions of the country.

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BACKGROUND: Research on negative dietary acculturation among Mexican-Americans has mostly focused on individual-level processes and has largely ignored the role of social networks. METHODS: This mixed-method study used an egocentric network approach and derived 1620 personal ties of self-identified Mexican adults in New York. 24-hour dietary recalls were used to derive a total Healthy Eating Index (HEI) and subscores. The qualitative portion generated narratives around who helps or hinders their efforts to eat healthfully. RESULTS: At the individual level, age at which participants migrated to the U.S. was negatively associated with total HEI (ß = -0.39, p < .01). An annual income below $30,000 was positively associated with total HEI (ß = 0.25, p < .05) and with HEI fruit subscores (ß = 0.25, p < .05). Acculturative stress was negatively associated with HEI fruit (ß = -0.29, p < .05) and refined grain subscores (ß = -0.34, p < .01). At the network level, the proportion of network members who consumed traditional Latino diets was negatively associated with total HEI and HEI refined grains subscores (ß = -0.39, p < .001; and ß = -0.23, p < .05; respectively). In contrast, the proportion of alters who lived in another country was positively associated with HEI dairy subscores (ß = 0.25, p < .05). Juxtaposing qualitative participants' visual representation of their total HEI scores with their lay interpretations of healthy and unhealthy eating matched public health messages of reducing sugar, red meat intake, and processed foods. However, participants felt that this could only be achieved through restriction rather than balance. Qualitative narratives also elucidated how dietary acculturation and income could help shape dietary quality in unexpected ways. CONCLUSIONS: This study found evidence of negative dietary acculturation and showcases the complex ways in which both individual- and network-level processes help shape dietary choices for Mexican-Americans.

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BACKGROUND: Weight loss interventions focus on dietary and physical activity changes to induce weight loss. Both through weight loss and independent of it, diet quality is important for reducing chronic disease risk. However, whether and how diet quality changes over the course of a behavioral intervention is unclear. OBJECTIVE: To systematically review the evidence from randomized controlled trials on the effect of behavioral interventions on diet quality as defined by the Healthy Eating Index (HEI) among adults with overweight and obesity. METHODS: PubMed, Ebscohost CINAHL, Embase, OVID APA PsycInfo, Scopus, and Web of Science were searched through May 2021. Inclusion criteria comprised randomized controlled trial design, a primary or secondary aim of weight loss, a sample of US adults with overweight or obesity, measurement using the HEI-2005, 2010, or 2015, and assessment of the time by treatment effect. Interventions must have included behavioral components and lasted at least 3 months. Risk of bias was assessed using the Cochrane Risk of Bias 2 tool. The systematic review protocol was published on Open Science Framework. RESULTS: Of 3,707 citations retrieved, 18 studies met inclusion criteria. A wide array of behavioral interventions were assessed, including in-person and mobile health interventions as well as those prescribing intake of specific foods. Risk of bias in the included studies primarily arose from the measurement of the outcome variable. Sample sizes ranged from 34 to 413 participants. Nine studies used multiple dietary recalls, with few using the recommended method of Healthy Eating Index calculation. Changes in diet quality ranged from no improvement to a 20-point improvement. More often, improvement was in the 4- to 7-point range. CONCLUSIONS: The evidence for the efficacy of behavioral weight loss interventions for improving diet quality among adults with overweight and obesity is limited. Modest improvements in HEI scores were observed in the reviewed studies.

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Defining the nutritional status and physical activity level of older adults makes it possible to guide them toward healthy lifestyles. OBJECTIVE: The aim of this study was to evaluate dietary habits, nutritional status, and physical activity engagement in older adults living in the city of Manta, Manabí. METHODS: An observational, descriptive, and cross-sectional study of 130 older adults was conducted to determine nutritional status via anthropometry, self-reported frequency of the consumption of foodstuffs, calculation of the healthy eating index (IAS), and physical activity patterns. RESULTS: Average age was 71.62 ± 4.34 years, whilst 83.07% of participants were at nutritional risk due to being overweight or obese. Dietary habits in males were characterized by the consumption of three meals a day, as well as greater intake of cereals, roots, tubers, and milk and its derivatives, whilst females consumed more fruits and vegetables. Meat was widely consumed, although females consumed more fish and seafood than males. Eggs were hugely popular foods, in contrast to legumes. Pasta was a dietary staple in females. Visible fats and luncheon meats were consumed little. IAS values reflected the "need to change", whilst physical activity engagement was found to be low. CONCLUSIONS: The nutritional status of the present study population was characterized by a tendency toward increasing overweight, particularly amongst females, with the predominance of class 1 obesity, low physical activity, and a healthy eating index requiring change toward more healthy habits.

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Short sleep duration has been associated with poor diet quality in school-aged children in multiple populations. However, investigations of sleep and dietary quality in Mexican school-aged children are scarce. The main objective of this work was to assess the association between sleep duration and dietary quality in Mexican school-aged children stratified by sex. The data were collected from 373 (138 girls and 235 boys) elementary school children aged 6-12 years in Monterrey, Nuevo Leon, Mexico. Surveys collected information on general demographic characteristics and self-reported sleep duration. Diet was assessed with 24-h recalls, and dietary quality was calculated by the Healthy Eating Index (HEI-2015). Results indicated that overall mean sleep duration was 8.23 ± 1.06 h. From the total sample, 6.7% slept ≤6 h (not recommended), 55.8% 7-8 h (may be appropriate), and 37.5% ≥ 9 h (recommended). Average total HEI-2015 score was 64.6 (out of possible 100), with boys having lower HEI-2015 scores than girls (57.7 vs 69.4). Moreover, girls and boys with shorter sleep duration (≤6 h compared to ≥ 9 h) had lower HEI-2015 scores (-1.03 [95% CI -2.74, -0.47; p < .01] and -1.78 [95% CI -3.15, -0.86; p < .001], respectively). Regarding the individual components of dietary quality, those with ≤6 h of sleep had lower scores particularly in vegetables, protein sources, added sugars and saturated fats for girls and boys compared to those with ≥9 h. These findings suggest sleep may be an important determinant of dietary practices within the Mexican children.

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As the population ages, greater attention to age-related health problems related to diet and lifestyles is needed. Here, we sought to evaluate the associations between demographic and clinical characteristics and food insecurity with the quality of diet of non-institutionalized elderly from a southern Chilean commune. We performed an analytical cross-sectional study in a sample of 376 older adults. Nutritional status was evaluated through anthropometric measurements. Quality of diet was determined by the healthy eating index (HEI), obtained through the frequency of consumption questionnaire. Socioeconomic, demographic, and lifestyle variables were also collected. Ordinal logistic and Poisson regression models were applied to study associations with quality of diet. The sample consisted of more women (81.6%) than men (18.4%). Most older adults were found to live in a situation of vulnerability or poverty (82.4%), with most having food security (65.7%). According to the HEI, only 14.1% had a good quality of diet, 83.8% had diet in need of improvement, and 2.1% had an unhealthy diet. There was an association of food insecurity and cardiovascular risk (according to waist circumference) with lower quality of diet categories. However, an association with the unhealthy quality of diet category was not confirmed with Poisson regression analysis, which was possibly due to the low number of subjects in that category (n = 8, 2.1%). Other modifiable factors like physical activity, hours of sleep, and polypharmacy were not associated with lower quality of diet categories. Socioeconomic status, which is a structural health determinant, was not associated with decreased quality of diet. Since this was a cross-sectional study performed on a small sample from a Chilean commune, directionality of associations cannot be discerned, and future longitudinal studies could aim to better characterize these associations in larger samples of elderly patients.

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