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This commentary reviews common myths and presumptions about obesity and also provides some useful evidence-based concepts about overweight and obesity. Passionate interests, the human tendency to seek explanations for observed phenomena, and everyday experience appear to contribute to strong convictions about obesity, despite the absence of supporting data. When the public, mass media, government agencies, and even academic scientists espouse unsupported beliefs, the result may be ineffective policy, unhelpful or unsafe clinical and public health recommendations, and an unproductive allocation of resources. In this article, we review some common beliefs about obesity that are not supported by scientific evidence and also provide some useful evidence-based concepts. We define myths as beliefs held to be true despite substantial refuting evidence, presumptions . . .

The purpose of this article is to comprehensively review studies that have examined the relation between diet and childhood obesity. The review specifically considers the roles of total energy intake and energy density; dietary composition; individual foods, food groups, and dietary patterns; beverage consumption; and eating behaviors. The paper also discusses methodological considerations and future research directions and concludes by summarizing the evidence presented and highlighting the ethical issues surrounding providing dietary advice.

Background/Objectives: The objective of this study was to identify dietary patterns in a cohort of 7-year-old children through cluster analysis, compare with patterns derived by principal components analysis (PCA), and investigate associations with sociodemographic variables. Subjects/Methods: The main caregivers in the Avon Longitudinal Study of Parents and Children (ALSPAC) recorded dietary intakes of their children (8279 subjects) using a 94-item food frequency questionnaire. Items were then collapsed into 57 food groups. Dietary patterns were identified using k -means cluster analysis and associations with sociodemographic variables examined using multinomial logistic regression. Clusters were compared with patterns previously derived using PCA. Results: Three distinct clusters were derived: Processed (4177 subjects), associated with higher consumption of processed foods and white bread, Plant-based (2065 subjects), characterized by higher consumption of fruit, vegetables and non-white bread, and Traditional British (2037 subjects), associated with higher consumption of meat, vegetables and full-fat milk. Membership of the Processed cluster was positively associated with girls, younger mothers, snacking and older siblings. Membership of the Plant-based cluster was associated with higher educated mothers and vegetarians. The Traditional British cluster was associated with council housing and younger siblings. The three clusters were similar to the three dietary patterns obtained through PCA; each principal component score being higher on average in the corresponding cluster. Conclusions: Both cluster analysis and PCA identified three dietary patterns very similar both in the foods associated with them and sociodemographic characteristics. Both methods are useful for deriving meaningful dietary patterns.

High dietary glycemic load (GL) has been associated with an increased risk for chronic diseases, including type 2 diabetes, coronary heart disease, and selected cancers. The aim of this study was to identify the main food and food group contributors to dietary GL in a representative sample of US adults to inform future interventions. Participants were from the REGARDS (REasons for Geographic and Racial Differences in Stroke) study, a longitudinal cohort of 30 239 community-dwelling black and white women and men ages ≥45 y from throughout the United States. Diet was assessed with a food frequency questionnaire. The amount of each carbohydrate food, and its glycemic index, were used to calculate GL values for each carbohydrate food reported. These were totaled to estimate the mean total daily GL for each participant. Individual carbohydrate foods also were collapsed into 18 carbohydrate food groups, and the portion of the total GL contributed by each carbohydrate food and food group was determined. Analyses were conducted overall, by race/sex groups, and by region. Sweetened beverages were the main contributors to GL overall (12.14 median percentage [median %] of daily GL), by far the largest contributors in black men (17.79 median %) and black women (16.43 median %), and major contributors in white men (12.02 median %) and white women (11.22 median %). Other important contributors to GL overall and in all race/sex groups and regions included breads, starchy side dishes, and cereals. In this US cohort of white and black adults, sweetened beverages were major contributors to GL overall, especially in black participants. This information may help to inform future interventions targeting reduction in dietary GL. •Sweetened beverages are the main contributors to glycemic load overall.•Sweetened beverages are the main contributors to glycemic load in black people.•Other contributors to glycemic load were starchy side dishes, breads, and cereals.

Background/objectives: Few studies have investigated the associations between flavored milk consumption and body composition in children. We aimed to examine the prospective relationships between flavored milk consumption and body fat. Subjects/methods: Subjects included 2270 children from the Avon Longitudinal Study of Parents and Children. Flavored milk consumption at age 10 years was assessed using dietary records; consumption was dichotomized as consumers and non-consumers. Percent body fat was measured using dual-energy X-ray absorptiometry at 11 and 13 years. Body weight at 11 and 13 years was included as a secondary outcome. Associations were also examined in a subset of plausible reporters to evaluate the influence of dietary reporting errors. There was an effect of interaction between flavored milk and baseline weight on body fat ( P -interaction <0.02). Results: In plausible reporters, overweight/obese children who consumed flavored milk had less favorable changes in body fat compared with non-consumers (adjusted means: −0.16%, 95% CI: −3.8, 3.5 vs −3.4%, 95% CI: −6.5, −0.42, P =0.02). Similar associations with body weight were observed. The adjusted mean percent body fat for overweight/obese girls who consumed flavored milk was greater at age 13 compared with 11 years (39.7%, 95% CI: 32, 47 vs 38.3%, 95% CI: 32, 44). The mean percent body fat for overweight/obese boys was similar between consumers and non-consumer is at 13 years (30.4%, 95% CI: 20, 41 vs 30.1%, 95% CI: 21, 40). Conclusions: Overweight/obese children who consumed flavored milk had less favorable changes in body composition over time. Although more research is needed, discouraging flavored milk consumption may be one beneficial strategy to address childhood obesity.

Background/Objectives: Diet quality indices are increasingly used in nutrition epidemiology as dietary exposures in relation to health outcomes. However, literature on the long-term stability of these indices is limited. We aimed to assess the stability of the validated Framingham Nutritional Risk Score (FNRS) and its component nutrients over 8 years, as well as the validity of the follow-up FNRS. Subjects/Methods: Framingham Offspring/Spouse Study women and men ( n =1734) aged 22–76 years were evaluated over 8 years. Individuals’ nutrient intake and nutritional risk scores were assessed using 3-day dietary records administered at baseline (1984–1988) and at follow-up (1992–1996). Agreement between baseline and follow-up FNRS and nutrient intakes was evaluated by Bland–Altman method; stability was assessed using intra-class correlation (ICC) and weighted Kappa statistics. The effect of diet quality (as assessed by the FNRS) on cardiometabolic risk factors was evaluated using analysis of covariance. Results: Modest changes from baseline (⩽15%) were observed in nutrient intake. The stability coefficients for the FNRS (ICC: women, 0.49; men, 0.46; P <0.0001) and many nutrients (ICC ⩾0.3) were moderate. Over half of the women and men (58%) remained in the same or contiguous baseline and follow-up quartile of the FNRS and few (3–4%) shifted >1 quartile. The FNRS was directly associated with body mass index in women ( P <0.01) and high-density lipoprotein cholesterol among both women ( P <0.001) and men ( P <0.01). Conclusions: The FNRS and its constituent nutrients remained relatively stable over 8 years of follow-up. The stability of diet quality has implications for prospective epidemiological investigations.

Bolivian sex workers were more likely than other employed women to report tuberculosis screening only if they reported HIV screening. Of all women with household tuberculosis exposure, <40% reported screening for themselves or their children. Coupling tuberculosis screening with sex workers’ mandatory HIV screenings may be a cost-efficient disease-control strategy.

Obesity affects one in three American adult women and is associated with overall mortality and major morbidities. A composite diet index to evaluate total diet quality may better assess the complex relationship between diet and obesity, providing insights for nutrition interventions. The purpose of the present investigation was to determine whether diet quality, defined according to the previously validated Framingham nutritional risk score (FNRS), was associated with the development of overweight or obesity in women. Over 16 years, we followed 590 normal-weight women (BMI < 25 kg/m2), aged 25 to 71 years, of the Framingham Offspring and Spouse Study who presented without CVD, cancer or diabetes at baseline. The nineteen-nutrient FNRS derived from mean ranks of nutrient intakes from 3 d dietary records was used to assess nutritional risk. The outcome was development of overweight or obesity (BMI ≥ 25 kg/m2) during follow-up. In a stepwise multiple logistic regression model adjusted for age, physical activity and smoking status, the FNRS was directly related to overweight or obesity (P for trend = 0·009). Women with lower diet quality (i.e. higher nutritional risk scores) were significantly more likely to become overweight or obese (OR 1·76; 95 % CI 1·16, 2·69) compared with those with higher diet quality. Diet quality, assessed using a comprehensive composite nutritional risk score, predicted development of overweight or obesity. This finding suggests that overall diet quality be considered a key component in planning and implementing programmes for obesity risk reduction and treatment recommendations.

Cluster analysis is a valuable tool for exploring the health consequences of consuming different dietary patterns. We used this approach to examine the cross-sectional relationship between dietary patterns and insulin-resistant phenotypes, including waist circumference, BMI, fasting insulin, 2 h post-challenge insulin, insulin sensitivity index (ISI0,120), HDL-cholesterol, TAG and blood pressure, using data from the fifth examination cycle of the Framingham Offspring Study. Among 2875 participants without diabetes, we identified four dietary patterns based on the predominant sources of energy: ‘Fruits, Reduced Fat Dairy and Whole Grains’, ‘Refined Grains and Sweets’, ‘Beer’ and ‘Soda’. After adjusting for multiple comparisons and potential confounders, compared with the ‘Fruits, Reduced Fat Dairy and Whole Grains’ pattern, the ‘Refined Grains and Sweets’ pattern had significantly higher mean waist circumference (92·4 v. 90·5 cm; P = 0·008) and BMI (27·3 v. 26·6 kg/m2; P = 0·02); the ‘Soda’ pattern had significantly higher mean fasting insulin concentration (31·3 v. 28·0 μU/ml; P ≤ 0·001); the ‘Beer’ pattern had significantly higher mean HDL-cholesterol concentration (1·46 v. 1·31 mmol/l; P < 0·001). No associations were observed between dietary patterns and ISI0,120, TAG, and systolic or diastolic blood pressure. Our findings suggest that consumption of a diet rich in fruits, vegetables, whole grains and reduced-fat dairy protects against insulin-resistant phenotypes and displacing these healthy choices with refined grains, high-fat dairy, sweet baked foods, candy and sugar-sweetened soda may promote insulin-resistant phenotypes.

Major depressive disorder (MDD) during pregnancy increases the risk of adverse maternal and infant outcomes. Maternal nutritional status may be a modifiable risk factor for antenatal depression. We evaluated the association between patterns in mid-pregnancy nutritional biomarkers and MDD. Prospective cohort study. Pittsburgh, Pennsylvania, USA. Women who enrolled at ≤20 weeks' gestation and had a diagnosis of MDD made with the Structured Clinical Interview for DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, 4th edition) at 20-, 30- and 36-week study visits. A total of 135 women contributed 345 person-visits. Non-fasting blood drawn at enrolment was assayed for red cell essential fatty acids, plasma folate, homocysteine and ascorbic acid; serum 25-hydroxyvitamin D, retinol, vitamin E, carotenoids, ferritin and soluble transferrin receptors. Nutritional biomarkers were entered into principal components analysis. Three factors emerged: Factor 1, Essential Fatty Acids; Factor 2, Micronutrients; and Factor 3, Carotenoids. MDD was prevalent in 21·5 % of women. In longitudinal multivariable logistic models, there was no association between the Essential Fatty Acids or Micronutrients pattern and MDD either before or after adjustment for employment, education or pre-pregnancy BMI. In unadjusted analysis, women with factor scores for Carotenoids in the middle and upper tertiles were 60 % less likely than women in the bottom tertile to have MDD during pregnancy, but after adjustment for confounders the associations were no longer statistically significant. While meaningful patterns were derived using nutritional biomarkers, significant associations with MDD were not observed in multivariable adjusted analyses. Larger, more diverse samples are needed to understand nutrition-depression relationships during pregnancy.