Higher Diet Quality Research Articles

Association of dietary quality during pregnancy with fetal immune function in Guangzhou

To investigate the situation of women's dietary quality during pregnancy and explore the correlations between maternal dietary index and fetal immune function. From September 2010 to February 2011, pregnant women who had routine physical examination in Yuexiu District and Baiyun District Maternal and Child Health Hospital of Guangzhou were recruited as study objects to use 3-day 24-hour dietary review to investigate diet during pregnancy, and general demographic information of pregnant women was collected through questionnaire, and the neonatal umbilical cord blood was collected during delivery. Laboratory detection of immunological indicators included IgG, IgA, IgM, IFN-γ and IL-6. The quality of diet during pregnancy was evaluated by diet quality index for pregnancy(DQI-P), dietary balance index for pregnancy(DBI-P) and alternate Medierranean diet score(aMED). Spearman correlation analysis and multiple linear regression analysis were used to explore the correlations between dietary quality during pregnancy and fetal immune function. The mean score of total DQI-P score of the study subjects was 55.8±10.0, and the mean score of overall food diversity and protein food source diversity was as high as 12.0±2.4 and 4.8±0.7. The mean score of nutrient energy ratio and fatty acid energy ratio was only 0.3±1.0 and 0.4±1.0, indicating that the population had good dietary diversity during pregnancy, but the dietary adequacy, suitability and balance were poor. The total score of DBI-P score was-19.2±9.4. The positive end score was 4.6±2.9, only 7.2% of the subjects had a high degree of dietary intake during pregnancy. The negative end score was 23.9±7.9, indicating the status of moderate dietary intake. Dietary quality was 28.5±7.1. Only 0.6% of the study population had a balanced dietary situation, and more than 67.9% of pregnant women had high intake imbalance. The mean total score of aMED score was 4.9±1.3, and the proportion of the food intake of beans and nuts was less than the median population was 62.5% and 79.1%, respectively, indicating that the food intake of beans and nuts was insufficient in this population. After adjusting for confounding factors such as maternal age, parity, parity, prepregnancy BMI, weight gain during pregnancy, and mode of delivery, multiple linear regression analysis showed DQI-P during pregnancy and negatively with IL-6(β=0.143, β=-0.155, P<0.05). DBI-P was negatively associated with IL-6(β=-0.177, P<0.01) and aMED and IFN-γ(β=-0.161, P<0.01). The dietary quality of women in late pregnancy in Guangzhou is low, the dietary structure is unbalanced. Higher dietary quality during pregnancy can promote the development of fetal immune system and improve fetal immune function.

Assessing Substrate Utilization and Bioconversion Efficiency of Black Soldier Fly (Hermetia illucens) Larvae: Effect of Diet Composition on Growth and Development Temperature.

Black soldier fly larvae (BSFL) can utilize food by-products or residues for growth, benefiting farm animal's diets' production sustainability. The experiment aimed to assess the effect of different substrate compositions on larval growth, chemical composition, and substrate temperature. BSFL were allocated to one of the four diets (control, vegetable, carnivorous, and omnivorous) for the entire experiment (8 days). The temperature was measured twice daily using a thermal-imaging camera, and the accumulated degree hours (ADH) was calculated. The results showed that the larvae fed the vegetable diet exhibited a significantly reduced growth performance, with a biomass reduction of 26.3% compared to the control diet; furthermore, vegetable-fed larvae showed a lower dry matter content (-30% compared to the average of other diets) due to lower fat content (-65% compared to average of other diets). The nutritional composition of larvae fed an omnivorous diet was similar to larvae fed a high-quality substrate diet (control diet-chicken feed), indicating that the omnivorous diet could be an ideal solution for rearing BSFL larvae; however, the current European legislation prohibits the use of animal meal. The study also revealed that substrate temperatures did not have a discernible influence on larval growth, further emphasizing the importance of diet in BSFL rearing strategies.

Social cohesion and associations with sedentary time, physical activity and dietary quality in The Maastricht Study

IntroWe aim to investigate the relationship between social cohesion and sedentary behavior (SB), total physical activity (PA), moderate-to-vigorous PA (MVPA), and dietary quality. Additionally, we assess whether these associations are independent of neighborhood walkability and the food environment. MethodsA total of 7641 participants from The Maastricht Study in the Netherlands between the ages of 40 and 75 years were analyzed. Neighborhood social cohesion was obtained by participant questionnaire completed at baseline and measured by the Dutch Livability meter. Home addresses were linked to geographic information system (GIS) data from the Geoscience and Health Cohort Consortium (GECCO) to create neighborhood exposures of walkability and food environment. A thigh worn accelerometer collected data to measure sedentary time, total daily PA, and MVPA. Dietary quality was measured with a food frequency questionnaire. Multivariate linear regression analyses were adjusted for age, sex, socioeconomic position, neighborhood walkability, and food environment. ResultsThose living in the highest quartile area of perceived social cohesion had statistically significant lower levels of SB (Q4 B: -13.04; 95% CI = −20.23, −5.85), higher total PA (Q4 B: 4.39; 95% CI = 1.69, 7.10), and higher MVPA (Q4 B: 2.57; 95% CI = 0.83, 4.31) and better diet quality (Q4 B: 1.12; 95% CI = 0.24, 2.01) compared to the lowest quartile independent of walkability and food environment. Similar results were found using the Livability meter. ConclusionWe discovered neighborhood social cohesion as an important obesogenic determinant that should be considered in policymaking to encourage higher levels of PA and higher diet quality.

Cigarette smoking and cardiovascular disease incidence and all-cause mortality: the modifying role of diet quality

BackgroundThis study examines the potential long-term joint association between smoking and diet quality as modifiable risk factors concerning cardiovascular diseases (CVDs) incidence and all-cause mortality among current and former smokers.MethodsThe study followed 955 smokers from the third and fourth examinations of the Tehran Lipid and Glucose Study to March 2018. Dietary data was collected using a food frequency questionnaire. Three diet quality indices (DQIs) were computed at baseline: DQI-international (DQI-I), DQI-revised (DQI-R), and Mediterranean-DQI (Med-DQI). Cox proportional hazards regression models were used to determine the HR (95% CI) of the joint association between smoking and diet quality among heavy and light smokers, based on the number of cigarettes per day and pack-years, as well as between current and former smokers based on smoking habits.ResultsOver a follow-up period of almost eight years, 94 cases of CVDs (9.80%) and 40 cases of mortality (4.20%) were documented. The lower diet quality based on the Med-DQI was associated with a higher risk of mortality among current smokers (HR:3.45; 95%CI:1.12, 10.57). Light smokers with good diet quality, compared to heavy smokers with poor diet quality, had a lower risk of CVDs incident (HR:0.35; 95%CI: 0.15, 0.83) and all-cause mortality (HR:0.20; 95%CI:0.05, 0.77). Current smokers with good DQI had a lower risk of mortality compared to current smokers with poor DQI (HR:0.26; 95%CI:0.08, 0.80). However, this lower risk was more significant in former smokers with good DQI (HR:0.10; 95%CI:0.02, 0.45).ConclusionsLight and former smokers had a lower risk of developing CVDs and experiencing mortality. However, when coupled with a high-quality diet, this protective effect is even more pronounced.

Assessing diet quality and associated environmental impacts: A cross-sectional analysis in a middle- to older-aged Irish population

Current dietary patterns have implications for both population and planetary health, giving dietary shifts the potential to reduce these impacts. However, higher quality diets are not inherently of lower environmental impact. This paper examines the association between diet quality, defined using the Dietary Approaches to Stop Hypertension (DASH) diet, Mediterranean (MED) diet and Healthy Eating Index 2015 (HEI-2015) , and environmental impacts among middle- to older-aged adults. The cross-sectional analysis used a random sample of 1862 males and females aged 46–73 years. Diet quality scores (DQS) were derived from a validated food frequency questionnaire (FFQ). The impact of food production was estimated using greenhouse gas emissions (GHGE) and blue water use (BWU) environmental impact indicators from secondary data sources. Relationships between food groups, DQS and environmental impacts were evaluated via correlation and regression analyses. The food group red meat & offal was found to be the largest contributor to dietary GHGE and caffeinated beverages to BWU for all DQS and across all quartiles of adherence. The cumulative contribution of discretionary foods and beverages requires attention given they are superfluous to human health. In fully adjusted regression analyses, higher diet quality was associated with lower GHGE for all DQS. Conversely, higher diet quality was positively associated with water use (DASH and MED only). Encompassing principles of the DASH and MED diets in future dietary recommendations may reduce diet-related disease in later life and dietary GHGE. However, the increase of BWU as diets become healthier is a concern. Advocating for plant-based diets must be coordinated with sustainable production and supply. National solutions to increase self-sufficiency and reduce impacts and reliance on climate vulnerable countries is warranted. The population dietary shifts required for health and planet can only be realised by multi-level structural changes to food systems through policy, and not through sole expectation of individual change.

Perspective: Beyond the Mediterranean Diet—Exploring Latin American, Asian, and African Heritage Diets as Cultural Models of Healthy Eating

The Mediterranean diet is a well-studied cultural model of healthy eating, yet research on healthy models from other cultures and cuisines has been limited. This perspective article summarizes the components of traditional Latin American, Asian, and African heritage diets, their association with diet quality and markers of health, and implications for nutrition programs and policy. Though these diets differ in specific foods and flavors, we present a common thread that emphasizes healthful plant foods and that is consistent with high dietary quality and low rates of major causes of disability and deaths. In this perspective, we propose that nutrition interventions that incorporate these cultural models of healthy eating show promise, though further research is needed to determine health outcomes and best practices for implementation.

Exploring tradeoffs among diet quality and environmental impacts in self-selected diets: a population-based study.

Proposed sustainable diets often deviate dramatically from currently consumed diets, excluding or drastically reducing entire food groups. Moreover, their environmental sustainability tends to be measured only in terms of greenhouse gases emissions. The aim of this study was to overcome these limitations and identify a cluster of already adopted, relatively healthy diets with substantially lower environmental impacts than the average diet. We also aimed to estimate the reduction in multiple environmental impacts that could be achieved by shifting to this diet cluster and highlight possible tradeoffs among environmental impacts. The diet clusters were identified by applying energy-adjusted multiple factor analysis and hierarchical clustering to the dietary data of the National FinHealth 2017 Study (n = 5125) harmonized with life cycle assessment data on food products from Agribalyse 3.0 and Agri-Footprint using nutrient intakes and global warming potential, land use, and eutrophication of marine and freshwater systems as the active variables. We identified five diet clusters, none of which had the highest overall diet quality and lowest impact for all four environmental indicators. One cluster, including twenty percent of the individuals in the sample was identified asa "best compromise" diet with the highest diet quality and the second lowest environmental impacts of all clusters, except for freshwater eutrophication. The cluster did not exclude any food groups, but included more fruits, vegetables, and fish and less of all other animal-source foods than average. Shifting to this cluster diet could raise diet quality while achieving significant reductions in most but not all environmental impacts. There are tradeoffs among the environmental impacts of diets. Thus, future dietary analyses should consider multiple sustainability indicators simultaneously. Cluster analysis is a useful tool to help design tailored, socio-culturally acceptable dietary transition paths towards high diet quality and lower environmental impact.

Abstract SY08-01: Does exercise or fitness deter cancer progression after diagnosis

Abstract SY08-01: Does exercise or fitness deter cancer progression after diagnosis

Performance and economics of fall grazing cover crops compared to a traditional drylot system of fall-calving cow-calf pairs

The objective of this study was to evaluate cow and calf performance while strip grazing a cover crop mix consisting of radishes, turnips, oats, and common vetch (CC) compared to a traditional, drylot management system (CON) of the Iowa State University Beef Teaching Farm fall-calving herd. The study was repeated for 3 consecutive years to account for weather variation.  Each growing season presented a unique situation. With a targeted seeding date of August 1st each year, yields ranged from 2,750 – 4,830 lbs of dry matter per acre, averaging 3,952 lbs. The greatest yield was observed in 2019 while the lowest yield occurred in 2020 with drought conditions restricting growth. Growth in 2021 was intermediate, but peak yield occurred after grazing began due to a delayed killing frost. Turnout dates ranged from early-November to mid-December, and fall pairs grazed for an average of 32 days, ranging from 17 – 45 days.  Despite fluctuation in cow body weights between treatments over the years, calves on CC had equal to or greater average daily gain and final body weights compared to calves on CON. Over the 3 years, CC calves gained an average of 0.36 lbs more per head per day than their CON counterparts. This advantage may be a reflection of CC dams producing a higher quality milk due to the high-quality forage diet and the ability of calves to graze alongside their dam.  An economic analysis of the 3-year project revealed a 29% average reduction in calf cost of gain of cow-calf pairs grazing cover crops ($1.11/lbs of gain) compared to cow-calf pairs fed in a drylot setting ($1.57/lb of gain). Compared to the standardized drylot in this scenario, this efficiency boost emphasizes the value of extending the grazing season, especially in times of high feed costs.

Dietary quality and dietary greenhouse gas emissions in the USA: a comparison of the planetary health diet index, healthy eating index-2015, and dietary approaches to stop hypertension

BackgroundThe Planetary Health Diet Index (PHDI) measures adherence to the dietary pattern presented by the EAT-Lancet Commission, which aligns health and sustainability targets. There is a need to understand how PHDI scores correlate with dietary greenhouse gas emissions (GHGE) and how this differs from the carbon footprints of scores on established dietary recommendations. The objectives of this study were to compare how the PHDI, Healthy Eating Index-2015 (HEI-2015) and Dietary Approaches to Stop Hypertension (DASH) relate to (a) dietary GHGE and (b) to examine the influence of PHDI food components on dietary GHGE.MethodsWe used life cycle assessment data from the Database of Food Recall Impacts on the Environment for Nutrition and Dietary Studies to calculate the mean dietary GHGE of 8,128 adult participants in the 2015–2016 and 2017–2018 cycles of the National Health and Nutrition Examination Survey (NHANES). Poisson regression was used to estimate the association of (a) quintiles of diet score and (b) standardized dietary index Z-scores with dietary GHGE for PHDI, HEI-2015, and DASH scores. In secondary analyses, we used Poisson regression to assess the influence of individual PHDI component scores on dietary GHGE.ResultsWe found that higher dietary quality on all three indices was correlated with lower dietary GHGE. The magnitude of the dietary quality-dietary GHGE relationship was larger for PHDI [-0.4, 95% CI (-0.5, -0.3) kg CO2 equivalents per one standard deviation change] and for DASH [-0.5, (-0.4, -0.6) kg CO2-equivalents] than for HEI-2015 [-0.2, (-0.2, -0.3) kg CO2-equivalents]. When examining PHDI component scores, we found that diet-related GHGE were driven largely by red and processed meat intake.ConclusionsImproved dietary quality has the potential to lower the emissions impacts of US diets. Future efforts to promote healthy, sustainable diets could apply the recommendations of the established DASH guidelines as well as the new guidance provided by the PHDI to increase their environmental benefits.

Increasing food insecurity severity is associated with lower diet quality in Australian adults

Food insecurity, the inadequate or insecure access to food due to financial constraints, is a growing concern in high-income countries like Australia(1). Food insecure adults may have reduced diet quality due to constraints on food purchasing and consumption(2) but further research is needed to understand how the severity of food insecurity impacts diet quality in an Australian setting. This study aimed to examine the relationship between diet quality and increasing severity of household food insecurity using validated measurement tools. A cross-sectional, online survey of Australian adults (aged 18 years+) used the USDA Household Food Security Six-item Short Form to classify respondents as food secure or marginally, moderately, or severely food insecure. The Australian Recommended Food Score (ARFS; score between 0–73) determined diet quality (ARFS total) and sub-scale scores for eight food groups(3), with higher scores indicating higher diet quality. Diet quality score results are further categorised as “needs work” (<33), “getting there” (33-38), “excellent” (39-46) or “outstanding” (47+). Survey-weighted linear regression (adjusted for age, sex, income, education, location, household composition) analyses indicate that 45% of participants were living in households that experienced food insecurity, comprising 7% marginally, 18% moderately and 20% severely food insecure households. The ARFS total survey-weighted mean score for the whole sample (n = 804) was 32.4 (SD = 9.8). As the severity of household food insecurity increased, ARFS scores decreased. Marginally food insecure respondents reported a mean ARFS score three points lower than food-secure adults (B=-2.7; 95%CI [−5.11, −0.34]; p = 0.03), and scores reduced by six points for moderately (B=-5.6; 95%CI [−7.26, −3.90]; p<0.001) and twelve points for severely food insecure respondents (B=-11.5; 95%CI [−13.21, −9.78]; p<0.001). Marginally food insecure respondents had significantly lower vegetable sub-scale scores, moderately food insecure respondents had significantly lower sub-scale scores for all food groups except dairy, severely food insecure respondents had significantly lower scores for all sub-scale scores. Poorer diet quality is evident in adults living with any food insecurity but gets progressively worse as the severity of food insecurity increases. Interventions to reduce food insecurity and increase diet quality are required to prevent adverse nutrition-related health outcomes in food-insecure populations in Australia and beyond.

The interaction between sodium to potassium intake and genetics to inform dietary management in hypertension

Blood pressure (BP) is influenced by both genetics and diet. Dietary management of hypertension includes increasing potassium-rich foods while reducing sodium intakes. Dietary sodium and potassium intakes can be measured objectively using urinary sodium and urinary potassium, with lower urinary sodium to potassium ratios associated with lower BP(1). Understanding the interplay between diet and genetics may be useful in treating hypertension and determining which individuals may receive an outsized benefit from lowering their sodium potassium ratio. This study aims to investigate whether identifying genetic risk for hypertension could be utilised to identify individuals who may benefit most from lowering sodium intake and increasing potassium intake. UK Biobank cohort participants (n = 296,475) with data on genotype, BP and spot urinary sodium and potassium data were used. Diet quality was assessed using Oxford WebQ. Biologically directed genetic scores for BP were constructed for pathways related to sodium/potassium biology (pharmagenic enrichment scores [PES]), as well as traditional polygenic risk scores (PRS). A gene-by-environment effect between urinary electrolytes, diet quality and PRS on BP were tested. Genetic risk, diet quality and urinary electrolytes independently correlated with BP. Urinary sodium had larger BP increasing effects amongst individuals who had high genetic risk in sodium/potassium pathways than those with comparatively lower genetic risk. Higher diet quality had a small effect on reducing BP in baseline PRS models, but this did not remain significant in the full model. Polygenic scores for BP personalised to individual sodium/potassium biology (PES) could be used to identify individuals who may receive an outsized benefit from a personalised sodium/potassium dietary intervention. These findings may inform future precision and personalised dietary advice for the management of hypertension.

Comparison of snack characteristics by diet quality: findings from a nationally representative sample of Australian adolescents

Snacking is a common eating behaviour among adolescents accounting for more than a quarter of their total energy intake but the relationship between snacks and overall diet quality remains unclear(1). Hence, the aim of this study was to examine characteristics of snacks among Australian adolescents (12-18 years) according to their level of diet quality. This secondary analysis uses one day of 24-hour dietary recall data from the 2011 - 2012 National Nutrition and Physical Activity Survey (n = 935). Snacks were defined based on participant-identified eating occasions(2). The Dietary Guideline Index for Children and Adolescents (DGI-CA) was used to assessed adherence to the Australian Dietary Guidelines(3), with the highest tertile of the DGI-CA score indicating high adherence. The means (95% confidence intervals [CI]) for daily snack frequency and snack energy density (ED; kJ/g) were estimated for boys and girls, using linear regression, adjusted for age, area-level disadvantage, and energy misreporting. The differences in means and proportions across tertiles of DGI-CA scores were tested by using F- and Chi square-tests, respectively. The results show no significant differences in the mean frequency of snacks across tertiles of DGI-CA scores in either boys (lowest tertile mean = 2.2, 95% CI [2.0, 2.4] snacks/day, highest tertile = 2.1 [1.9, 2.3]) or girls (lowest tertile = 1.9 [1.7, 2.1] snacks/day, highest tertile = 2.2 [1.9, 2.4]). The mean ED of snacks decreased as DGI-CA scores increased in both boys (lowest tertile = 8.42, 95% CI [7.1, 10] kJ/g, highest tertile = 6.32 [5.4, 7.4] kJ/g) and girls (lowest tertile = 8.99 [7.8, 10.3] kJ/g, highest tertile = 5.92 [5.1, 6.9] kJ/g). As DGI-CA scores increased, the proportion of both boys and girls consuming discretionary foods at snacks (such as soft drinks) decreased, while foods from the five food groups (such as apples) increased (p-values < 0.05). In conclusion, snack ED, but not frequency, and the types of foods consumed by adolescents at snacks varied by a level of diet quality. Snack ED decreased with increasing diet quality and adolescents with higher diet quality had higher intakes of foods from the five food groups and lower intakes of discretionary foods at snacks. Encouraging the consumption of lower-ED foods from the five food groups at snacks presents an opportunity to enhance adolescent diet quality. Future studies should explore snack-specific strategies to improve overall diet quality of adolescents.

Use of a novel algorithm to evaluate changes in diet quality following energy restriction

Dietary strategies for weight loss typically place an emphasis on achieving a prescribed energy intake. Depending on the approach taken, this may be achieved by restricting certain nutrients or food groups, which may lower overall diet quality. Various studies have shown that a higher quality diet is associated with better cardiovascular (CV) health outcomes1. This study aimed to evaluate the effect of an energy restricted diet on diet quality, and associated changes in cardiovascular risk factors. One hundred and forty adults (42 M:98 F, 47.5 ± 10.8 years, BMI 30.7 ± 2.3 kg/m2) underwent an energy restricted diet (30% reduction) with dietary counselling for 3 months, followed by 6 months of weight maintenance. Four-day weighed food diaries captured dietary data at baseline, 3 and 9 months and were analysed using a novel algorithm to score diet quality (based on the Dietary Guideline Index, DGI)2. Total DGI scores ranged from 0-120, with sub scores for consumption of core (0-70) and non-core foods (0-50). For all scores, a higher score or increase reflects better diet quality. The CV risk factors assessed included blood pressure (SBP and DBP) and fasting lipids (total (TC), high and low-density lipoprotein cholesterol (HDL-C, LDL-C) and triglycerides (TAG). Mixed model analyses were used to determine changes over time (reported as mean ± standard error), and Spearman rho (rs) evaluated associations between DGI score and CV risk factors. Dietary energy intake was significantly restricted at 3 months (−3222 ± 159 kJ, P<0.001, n = 114) and 9 months (−2410 ± 167 kJ, P<0.001, n = 100) resulting in significant weight loss (3 months −7.0 ± 0.4 kg, P<0.001; 9 months −8.2 ± 0.4 kg, P<0.001). Clinically meaningful weight loss (>5% body mass) was achieved by 81% of participants by 3 months. Diet quality scores were low at baseline (scoring 49.2 ± 1.5), but improved significantly by 3 months (74.7 ± 1.6, P<0.000) primarily due to reductions in the consumption of non-core i.e. discretionary foods (Core sub-score +4.0. ± 0.7, Non-core sub-score +21.3.1 ± 1.6, both P<0.001). These improvements were maintained at 9 months (Total score 71.6 ± 1.7, P<0.000; Core sub-score +4.4 ± 0.7 from baseline, P<0.000; Non-core sub-score +17.9 ± 1.6 from baseline, P<0.000). There were significant inverse relationships between changes in Total DGI score and changes in DBP (rs = −0.268, P = 0.009), TC (rs = −0.298, P = 0.004), LDL-C (rs = −0.224, P = 0.032) and HDL-C (rs = −0.299, P = 0.004) but not SBP and TG at 3 months. These data emphasise the importance of including diet quality as a key component when planning energy restricted diets. Automated approaches will enable researchers to evaluate subtle changes in diet quality and their effect on health outcomes.

A latent profile analysis based on diet quality and eating behaviours in participants of the PREDISE study characterized by a higher BMI.

The aim of this study was to identify eating-related latent profiles based on diet quality and eating behaviours within a population characterized by a body mass index (BMI) of at least 25kg/m2, and to compare metabolic variables between profiles. This analysis was conducted in a sample of 614 adults (45.6% women; 44.8±12.9 years) from the cross-sectional PREDISE study. Participants completed the Three-Factor Eating Questionnaire, the Intuitive Eating Scale-2, the Regulation of Eating Behavior Scale, and three self-administered 24 h food recalls. Waist circumference, blood lipids, blood pressure, and fasting glucose were measured to identify carriers of the metabolic syndrome. A latent profile analysis was performed, and cases of metabolic syndrome were compared between profiles. A three-profile solution was found. Profile 1 (22.8%) was characterized by lower diet quality, lower self-determined motivation for eating, lower restraint, and higher intuitive eating. Profile 2 (44.5%) was characterized by higher diet quality, higher self-determined motivation for eating, higher restraint, lower disinhibition, and higher intuitive eating. Profile 3 (32.7%) was characterized by intermediate diet quality, higher non-self-determined motivation for eating, higher restraint and disinhibition, and lower intuitive eating. We found fewer cases of metabolic syndrome among participants in profile 2 than in the other profiles (p=0.0001). This study suggests that a profile characterized by a lower disinhibition and higher levels of restraint, intuitive eating, self-determined motivation, and diet quality is associated with a better metabolic health among individuals with a higher BMI.

The association between diet quality index-international and dietary diversity score with preeclampsia: a case–control study

BackgroundPreeclampsia is a significant complication that occurs during the second half of pregnancy. Recent studies have indicated that dietary factors play a crucial role in the development of preeclampsia. The Diet Quality Index-International (DQI-I) and Dietary Diversity Score (DDS) are appropriate indices for assessing the quality of foods, meals, and diets. This study aimed to investigate the relationship between DQI-I, DDS, and preeclampsia.MethodsThis study utilized a case-control design. A total of 90 newly diagnosed preeclampsia cases and 90 healthy controls were included from a referral hospital in Tabriz, Iran. DQI-I and DDS were calculated based on information obtained from a reliable Food Frequency Questionnaire consisting of 168 food items, which assessed participants’ usual diet. Logistic regression analysis adjusted for age, body mass index, education, family history of preeclampsia, and total energy intake was used to estimate odds ratios (ORs).ResultsThe mean age and pre-pregnancy body mass index of the participants were: 27.14 ± 4.40 years and 26.09 ± 3.33 kg/m2, respectively. After adjusting for various confounders, we found significant inverse association between the risk of developing preeclampsia and both DQI-I and DDS. The highest quartile of DQI-I had a significantly lower risk of developing preeclampsia compared to the first quartile (OR = 0.02, 95% CI [0.005, 0.08]) (P < 0.001). Similarly, the highest quartile of DDS had a significantly lower risk of developing preeclampsia compared to the first quartile (OR = 0.09, 95% CI [0.03, 0.31]) (P = 0.001).ConclusionsOur findings suggest that maintaining a high-quality and diverse diet is associated with a lower risk of preeclampsia. Further studies are needed to confirm these associations and explore potential causal relationships.

Dietary inflammatory potential and arterial stiffness in a French cohort: Insights from the STANISLAS study

Background and aimsChronic inflammation plays a key role in arterial stiffness pathogenesis. Dietary components can display anti- or pro-inflammatory properties. Nonetheless, the association between the diet's overall inflammatory potential and arterial stiffness is unclear. This study aimed to assess the association between the diet's overall inflammatory potential and arterial stiffness assessed by carotid-femoral pulse wave velocity (cfPWV). Methods and resultsThis cross-sectional study included 1307 participants from the STANISLAS family cohort study. Dietary data were collected using a validated food frequency questionnaire. The adapted dietary inflammatory index (ADII) score was calculated to assess the inflammatory potential of the participants’ diet. The association of ADII score quartile with cfPWV was assessed using IPW-weighted linear mixed models with random family effect.The median (Q1-Q3) ADII score was 0.45 (-1.57, 2.04). Participants exhibiting higher ADII scores demonstrated elevated energy intake, dietary saturated fat, and ultra-processed foods. Conversely, individuals with lower ADII scores exhibited higher vitamins and omega intakes, and a higher diet quality, as assessed by the DASH score. Despite these observations from the descriptive analyses, ADII score quartiles were not significantly associated with cfPWV (β(95% CI) were 0.01 (-0.02,0.04) for Q2, 0.02 (-0.01,0.05) for Q3, and 0.02 (-0.01,0.05) for Q4 compared to Q1). ConclusionIn this cross-sectional study, participants had a relatively modest consumption of pro-inflammatory foods, no substantial associations were observed between the diet inflammatory potential and arterial stiffness. Further longitudinal studies in larger cohorts are needed to better understand the link between inflammatory diet and arterial stiffness.

Dietary risk factors for hypertensive disorders of pregnancy

ObjectiveTo assess whether diet quality and specific dietary components are associated with hypertensive disorders of pregnancy (HDP). Study designNested case control study in a prospectively collected cohort of 450 participants with singleton pregnancies who completed the National Institutes of Health Diet Health Questionnaire II (DHQ-II) in the third trimester or within 3 months of delivery. Patients with fetal anomalies, conception by in-vitro fertilization, and deliveries at outside hospitals were excluded from the original prospective cohort study. Cases were patients diagnosed with HDP and controls were patients without HDP. Cases and controls were matched by BMI class in a 1:2 ratio. Exposures of interest were HEI-2015 score components and other DHQ-II dietary components including minerals, caffeine, and water. These dietary components were compared between cohorts using univariate analyses. Main outcome measuresHEI-2015 total scores representing diet quality, component scores, and objective background data between patients with HDP and patients without HDP. Results150 patients with HDP were matched to 300 controls without HDP. Baseline demographics were similar between groups, including BMI. Patients with HDP were less likely to have high quality diets (HEI ≥ 70) than controls (7.3 % v 15.7 %, P = 0.02). HDP were associated with significantly higher dairy, saturated fat, and sodium intake compared to controls. Other components were similar between groups. ConclusionPatients with HDP are more likely to have lower diet quality and higher consumption of sodium, dairy, and saturated fats. These results can be used to study antenatal diet modification in patients at high risk of HDP.

Abstract P193: Sex Moderates Diet Quality Differences in Integrated Collaborative Care for Comorbid Obesity and Depression: Post-Hoc Analysis of the Research Aimed at Improving Both Mood and Weight Randomized Clinical Trial

Background: High-quality diets, such as the Dietary Approaches to Stop Hypertension (DASH), are associated with lower risk for obesity and obesity-related chronic diseases. It is unclear whether diet quality improves aside from reduced calories in evidence-based behavioral weight loss interventions. Objective: Leveraging data from the Research Aimed at Improving Both Mood and Weight (RAINBOW) randomized trial, the objective of this post hoc analysis is to investigate (1) whether the study intervention was associated with improved diet quality in adults with comorbid obesity and depression, compared to usual care; and (2) whether the associations were modified by sex. Methods: Participants completed 24-hour dietary recalls at baseline, 6, 12, 18, and 24 months. Dietary outcomes included the DASH score as the composite measure of diet quality and its components. Between-group differences in dietary outcomes were examined among 409 participants and by sex, using repeated-measures mixed-effects linear models. Results: Changes in DASH scores did not differ between the intervention and usual care control groups through 24 months in both women and men. Compared with controls, men in the intervention group had significantly decreased nut, seed, and legume intake at 6 (mean difference, -1.1; 95% CI, -1.9, -0.3 servings/day; P=0.01) and 12 months (-1.0; -2.0, -0.0 servings/day; P=0.048). Compared with controls, women in the intervention group had significantly decreased fruit and vegetable intake at 18 (-1.8; -2.9, -0.6 servings/day; P=0.002) and 24 months (-1.1; -2.2, -0.1 servings/day; P=0.03), and whole grain intake at 24 months (-0.5; -0.9, -0.1 servings/day; P=0.03), but increased percent calories from fat at 24 months (3.6; 0.6, 6.5; P=0.02). Conclusions: Diet quality not only did not improve in an effective behavioral weight loss intervention but deteriorated in women, in particular. These post-hoc findings warrant confirmation and may suggest that behavior change techniques targeting diet quality that are tailored to women and men need to be an explicit focus of behavioral weight loss interventions aside from caloric reductions.

Associations between a paternal healthy lifestyle score and its individual components with childhood overweight and obesity.

Maternal healthy lifestyle behaviors during pregnancy have been associated with reduced risk of offspring overweight and obesity (OWOB). However, there has been little investigation, in the context of the Paternal Origins of Health and Disease (POHaD) paradigm, of the potential influence of the paternal lifestyle on offspring OWOB. To describe paternal healthy lifestyle factors around pregnancy and investigate their associations, individually and combined, with offspring risk of OWOB during childhood. Participants included 295 father-child pairs from the Lifeways Cross-Generation Cohort Study. A composite paternal healthy lifestyle score (HLS) based on having a high dietary quality (top 40% of the Healthy Eating Index-2015), meeting physical activity guidelines (≥450 MET-min/week of moderate-to-vigorous physical activity), having a healthy body mass index (BMI) (18.5-24.9kg/m2 ), being a non-smoker, and having no/moderate alcohol intake, was calculated (range 0-5). Paternal HLS (and individual components) associations with child BMI and waist-to-height ratio (WHtR) at age 5 and 9 years were assessed using linear (BMI z-scores and WHtR) and logistic (IOTF categories) regression analyses, adjusted for sociodemographic characteristics. At age 5 and 9 years, 23.5% and 16.9% of children were classified as living with OWOB, respectively. Of the 160 pairs with a complete HLS, 45.0% of the fathers had unfavorable lifestyle factors, determined by a low HLS between 0 and 2 points. Although a low paternal HLS was not significantly associated with a higher risk of childhood OWOB measured using either BMI z-scores and IOTF categories, it was associated with a greater child WHtR, an indicator of central adiposity, at 9 years of age (β [95% CI]=0.04 [0.01,0.07]). Almost half of the fathers had unfavorable lifestyle factors around pregnancy. A low paternal HLS was associated with a greater child WHtR at 9 years but not with a higher risk of childhood OWOB when measured by BMI z-scores or IOTF categories.