Perceived weight discrimination and 10-year risk of allostatic load among US adults

Background Discrimination promotes multisystem physiological dysregulation termed allostatic load, which predicts morbidity and mortality. It remains unclear whether weight-related discrimination influences allostatic load. Purpose The aim of this study was to prospectively examine 10-year associations between weight discrimination, allostatic load, and its components among adults 25–75 years in the Midlife Development in the US Biomarker Substudy. Methods Participants with information on weight discrimination were analyzed (n=986). At both timepoints, participants self-reported the frequency of perceived weight discrimination across nine scenarios as “never/rarely” (scored as 0), “sometimes” (1), or “often” (2). The two scores were averaged and then dichotomized as “experienced” versus “not experienced” discrimination. High allostatic load was defined as having ≥3 out of 7 dysregulated systems (cardiovascular, sympathetic/parasympathetic nervous systems, hypothalamic pituitary axis, inflammatory, lipid/metabolic, and glucose metabolism), which collectively included 24 biomarkers. Relative risks (RR) were estimated from multivariate models adjusted for sociodemographic and health characteristics, other forms of discrimination, and BMI. Results Over 41% of the sample had obesity, and 6% reported weight discrimination at follow-up. In multivariable-adjusted analyses, individuals who experienced (versus did not experience) weight discrimination had twice the risk of high allostatic load (RR, 2.07; 95 % CI, 1.21; 3.55 for baseline discrimination; 2.16, 95 % CI, 1.39; 3.36 for long-term discrimination). Weight discrimination was associated with lipid/metabolic dysregulation (1.56; 95 % CI 1.02, 2.40), glucose metabolism (1.99; 95 % CI 1.34, 2.95), and inflammation (1.76; 95 % CI 1.22, 2.54), but no other systems. Conclusions Perceived weight discrimination doubles the 10-year risk of high allostatic load. Eliminating weight stigma may reduce physiological dysregulation, improving obesity-related morbidity and mortality

Understanding the Relationship between Food Variety, Food Intake, and Energy Balance

Purpose of Review: In accordance with US dietary guidance, incorporating variety into the diet can align with energy balance, though greater food variety in some categories may make energy balance more challenging. Thus, experimental and epidemiologic evidence is summarized on the relationship between food variety, food and energy intake, and energy balance. Recent Findings: Lab-based, experimental research consistently demonstrates that greater variety within foods or sensory characteristics of food increases food and energy intake within an eating occasion. Epidemiologic evidence is less consistent, potentially driven by differing methodologies, particularly in defining and measuring food variety. Moreover, the effect of variety on energy balance appears to be moderated by food energy density. Summary Integrating insights from experimental and epidemiologic research are essential for strengthening food variety guidance including developing evidence-based definitions of food variety, understanding moderators of the relationship, and developing practical guidance interpretable to consumers

Increasing low-energy-dense foods and decreasing high-energy-dense foods differently influence weight loss trial outcomes

Background/Objective: Although reducing energy density (ED) enhances weight loss, it is unclear whether all dietary strategies that reduce ED are comparable, hindering effective ED guidelines for obesity treatment. This study examined how changes in number of low-energy-dense (LED) (\u3c4.186 kJ/1.0 kcal g–1) and high-energy-dense (HED) (\u3e12.56 kJ/3.0 kcal g–1) foods consumed affected dietary ED and weight loss within an 18-month weight loss trial. Methods: This secondary analysis examined data from participants randomized to an energy-restricted lifestyle intervention or lifestyle intervention plus limited non-nutrient dense, energy-dense food variety (n=183). Number of daily LED and HED foods consumed was calculated from three, 24-h dietary recalls and anthropometrics were measured at 0, 6 and 18 months. Multivariable-adjusted generalized linear models and repeated-measures mixed linear models examined associations between 6-month changes in number of LED and HED foods and changes in ED, body mass index (BMI), and percent weight loss at 6 and 18 months. Results: Among mostly female (58%), White (92%) participants aged 51.9 years following an energy-restricted diet, increasing number of LED foods or decreasing number of HED foods consumed was associated with 6- and 18-month reductions in ED (β=−0.25 to −0.38 kJ g–1 (−0.06 to −0.09 kcal g–1), P\u3c0.001). Only increasing number of LED foods consumed was associated with 6- and 18-month reductions in BMI (β=−0.16 to −0.2 kg m–2, P\u3c0.05) and 6-month reductions in percent weight loss (β=−0.5%, P\u3c0.05). Participants consuming ⩽2 HED foods per day and ⩾6.6 LED foods per day experienced better weight loss outcomes at 6- and 18-month than participants only consuming ⩽2 HED foods per day. Conclusion: Despite similar reductions in ED from reducing number of HED foods or increasing number of LED foods consumed, only increasing number of LED foods related to weight loss. This provides preliminary evidence that methods used to reduce dietary ED may differentially influence weight loss trajectories. Randomized controlled trials are needed to inform ED recommendations for weight loss

Consumer purchasing patterns in response to calorie labeling legislation in New York City

<p>Abstract</p> <p>Background</p> <p>Obesity is a major public health threat and policies aimed at curbing this epidemic are emerging. National calorie labeling legislation is forthcoming and requires rigorous evaluation to examine its impact on consumers. The purpose of this study was to examine whether point-of-purchase calorie labels in New York City (NYC) chain restaurants affected food purchasing patterns in a sample of lower income adults in NYC and Newark, NJ.</p> <p>Methods</p> <p>This study utilized a difference-in-difference design to survey 1,170 adult patrons of four popular chain restaurants in NYC and Newark, NJ (which did not introduce labeling) before and after calorie labeling was implemented in NYC. Receipt data were collected and analyzed to examine food and beverage purchases and frequency of fast food consumption. Descriptive statistics were generated, and linear and logistic regression, difference-in-difference analysis, and predicted probabilities were used to analyze the data.</p> <p>Results</p> <p>A difference-in-difference analysis revealed no significant favorable differences and some unfavorable differences in food purchasing patterns and frequency of fast food consumption between adult patrons of fast food restaurants in NYC and Newark, NJ. Adults in NYC who reported noticing and using the calorie labels consumed fast food less frequently compared to adults who did not notice the labels (4.9 vs. 6.6 meals per week, p <0.05).</p> <p>Conclusion</p> <p>While no favorable differences in purchasing as a result of labeling were noted, self-reported use of calorie labels was associated with some favorable behavioral patterns in a subset of adults in NYC. However, overall impact of the legislation may be limited. More research is needed to understand the most effective way to deliver calorie information to consumers.</p

Sociodemographic Differences in the Dietary Quality of Food-at-Home Acquisitions and Purchases among Participants in the U.S. Nationally Representative Food Acquisition and Purchase Survey (FoodAPS)

Insufficient research has explored whether sociodemographic differences in self-reported, individual-level diet quality are similarly reflected by grocery purchase quality. This cross-sectional analysis of n = 3961 U.S. households from the nationally representative Food Acquisition and Purchase Survey (FoodAPS) compared Healthy Eating Index (HEI)-2015 scores from 1 week of food-at-home acquisitions across self-reported demographic factors (race/ethnicity, Supplemental Nutrition Assistance Program (SNAP) participation, food security, and household-level obesity status). Multivariable-adjusted, survey-weighted regression models compared household HEI-2015 scores across sociodemographic groups. Respondents were primarily White and female, with a mean age of 50.6 years, 14.0% were food insecure, and 12.7% were SNAP-participating. Mean HEI-2015 scores were 54.7; scores differed across all sociodemographic exposures (p \u3c 0.05). Interactions (p \u3c 0.1) were detected between SNAP participation and (1) food insecurity and (2) household-level obesity, and race/ethnicity and (1) household-level obesity. HEI-2015 scores were higher among food secure, non-SNAP households than among food insecure, SNAP-participating households (53.9 ± 0.5 vs. 50.3 ± 0.7, p = 0.007); non-SNAP households without obesity had significantly higher HEI-2015 scores than other households. Household-level obesity was associated with lower HEI-2015 scores in White (50.8 ± 0.5 vs. 52.5 ± 0.7, p = 0.046) and Black (48.8 ± 1.5 vs. 53.1 ± 1.4, p = 0.018) but not Hispanic households (54.4 ± 1.0 vs. 52.2 ± 1.2, p = 0.21). Sociodemographic disparities in household HEI-2015 scores were consistent with previous research on individual-level diet quality

Associations between pre-pregnancy BMI, gestational weight gain, and prenatal diet quality in a national sample

This secondary analysis explored the association between gestational weight gain, pre-pregnancy body mass index (BMI), and prenatal diet quality in a United States national sample. The sample comprised 1322 pregnant women in the longitudinal Infant Feeding Practices Study II with Diet History Questionnaire data. Diet quality in the third trimester was assessed using the Alternative Healthy Eating Index for Pregnancy. Self-reported pre-pregnancy BMI (categorized as underweigh

Associations between timing and quality of solid food introduction with infant weight-for-length z-scores at 12 months: Findings from the Nurture cohort

This study assesses associations of the timing and quality of solid foods introduced during infancy with weight-for-length (WFL) z-scores at 12 months within the Nurture cohort. Women from North Carolina self-reported sociodemographics, the timing and type of solid food introduction, and reasons for introducing solids; infant anthropometrics were measured every 3 months through 1 year (n = 666). Frequency (0–5x/day) infants consumed fruits and vegetables was used to compute a mean (4–12 months) healthy food score (HFS), and sweets, french fries, snacks, and ice cream was used to compute a mean unhealthy food score (UnHFS). Multivariable-adjusted generalized linear models were used to examine the relationship of early solid food introduction, HFS quartiles (Q), UnHFS quartiles, and interactions between these variables with WFL z-scores at 12 months (n = 449). Exploratory analyses evaluated WFL z-scores among 4 groups of infants with high/low HFS and high/low UnHFS. On average, mothers were 28 years with a pre-pregnancy BMI of 30.5 kg/m2; 65% were Non-Hispanic Black, and 59% had incomes z-scores. Infants in Q3 and Q4 of the UnHFS had higher WFL z-scores (0.75–0.79 ± 0.09) compared to infants in Q1 (0.42 ± 0.0.9), p \u3c 0.05. Frequent unhealthy food intake was associated with higher WFL z-scores at 12-months, underscoring the importance of reducing unhealthy food intake in the first year

Longitudinal Associations of Leisure-Time Physical Activity and Cancer Mortality in the Third National Health and Nutrition Examination Survey (1986–2006)

Longitudinal associations between leisure-time physical activity (LTPA) and overall cancer mortality were evaluated within the Third National Health and Nutrition Examination Survey (NHANES III; 1988–2006; n = 15,535). Mortality status was ascertained using the National Death Index. Self-reported LTPA was divided into inactive, regular low-to-moderate and vigorous activity. A frequency-weighted metabolic equivalents (METS/week) variable was also computed. Hazard ratios (HRs) and 95% confidence intervals (CI) were calculated for overall cancer mortality in the whole sample, by body mass index categories and insulin resistance (IR) status. Nonsignificant protective associations were observed for regular low-to-moderate and vigorous activity, and for the highest quartile of METS/week (HRs range: 0.66–0.95). Individuals without IR engaging in regular vigorous activity had a 48% decreased risk of cancer mortality (HR: 0.52; 95% CI: 0.28–0.98) in multivariate analyses. Conversely, nonsignificant positive associations were observed in people with IR. In conclusion, regular vigorous activity may reduce risk of cancer mortality among persons with normal insulin-glucose metabolism in this national sample

Maternal vegetable intake during and after pregnancy

Background: Improved understanding of vegetable intake changes between pregnancy and postpartum may inform future intervention targets to establish healthy home food environments. Therefore, the goal of this study was to explore the changes in vegetable intake between pregnancy and the postnatal period and explore maternal and sociodemographic factors that are associated with these changes. Methods: We examined sociodemographic, dietary, and health characteristics of healthy mothers 18-43y from the prospective Infant Feeding Practices II cohort (n = 847) (2005–2012). Mothers completed a modified version of the diet history questionnaire, a food-frequency measure, developed by the National Cancer Institute. We created four categories of mothers, those that were: meeting vegetable recommendations post- but not prenatally (n = 121; improved intake), not meeting vegetable recommendations during pregnancy and postnatally (n = 370; stable inadequate), meeting recommendations pre- but not postnatally (n = 123; reduced intake), and meeting recommendations at both time points (n = 233; stable adequate). To make our results more relevant to public health recommendations, we were interested in comparing the improved vegetable intake group vs. stable inadequate vegetable intake group, as well as those that reduced their vegetable intake compared to the stable adequate vegetable intake group. Separate multivariable-adjusted logistic regression were used to examine sociodemographic predictors of improved vs. stable inadequate and reduced vs. stable adequate vegetable intake. Results: Women with improved vegetable intake vs. stable inadequate smoked fewer cigarettes while women with reduced vegetable intake vs. stable adequate were more likely to experience less pregnancy weight gain. In adjusted models, employed women had greater odds of reduced vegetable intake (OR = 1.64 95% CI 1.14–2.36). In exploratory analyses, employment was associated with greater odds of reduced vegetable intake among low-income (OR = 1.79; 95% CI 1.03–3.1), but not higher income women (OR = 1.31; 95% CI 0.94–1.84). After further adjustment for paid maternity leave, employment was no longer associated with vegetable intake among lower income women (OR: 1.53; 95% CI: 0.76–3.05). Conclusions: More women with reduced vs. stable adequate vegetable intake were lower income and worked full time. Improved access to paid maternity leave may help reduce disparities in vegetable quality between lower and higher income women

Sleep Duration Mediates the Relationship Between Health Behavior Patterns and Obesity

Objective: To examine associations between health behavior patterns and childhood obesity, and the mediating effect of sleep duration. Design: Population-based survey. Participants: Secondary analysis of data from the Infant Feeding Practices Study (age 6 years, n = 1073). Measurements: Mothers self-reported their child’s health behaviors including physical activity (PA), screen time, sleep duration, and diet. Latent class analysis determined the child’s patterns based on health behaviors. Sleep was examined as a mediator between the class membership variable and %BMIp95. Results: A 3-class model fit the data best, with classes labeled as “Poorest eaters” (low fruit/vegetable consumption, high fast food), “Healthy” (low screen time, highest fruit/vegetable consumption) and “Active, super-eaters, highest screen time” (highest PA and screen time, ate the most). “Poorest eaters” had an increased %BMIp95 (β = 4.11, P = .006) relative to the “Healthy” class. The “Poorest eaters” and “Active, super-eaters, highest screen time” classes had shorter sleep duration (β = −0.51, P \u3c .001; β = −0.38, P \u3c .001; respectively) relative to the “Healthy” class. Independent of class membership, each additional hour of sleep was associated with a %BMIp95 that was 2.93 U lower (P \u3c .001). Conclusions: Our results indicate that health behavior patterns mediated by sleep duration may influence a child’s %BMIp95. The bi-directionality of the relationship between health behaviors and sleep remains unclear. Our findings suggest the importance of a constellation of health behaviors on childhood obesity. Interventions should include a multitude of health behaviors and consider the possibility that improving diet and activity behaviors may facilitate improved sleep and lowered obesity risk among children