Predictors Of Diet Quality Research Articles

Restrained Eating and Disinhibited Eating: Association with Diet Quality and Body Weight Status Among Adolescents

Background/Objectives: Problematic eating behaviours may affect food consumption and, therefore, body weight. However, these associations have not been well understood, especially among adolescents. The aim of the study was to evaluate the associations of restrained eating and disinhibited eating with diet quality and body weight status among adolescents. Methods: A cross-sectional study was conducted among 1450 primary school students aged 11–13 years (52% girls). Dietary data were collected using the food frequency questionnaire (SF-FFQ4PolishChildren®). Two diet quality scores were evaluated: (i) the pro-Healthy Diet Index (pHDI), which included vegetables, fruit, dairy products, and fish, and (ii) the non-Healthy Diet Index (nHDI), which included fast food, sweets, sweetened beverages, and energy drinks. Based on the Three-Factor Eating Questionnaire, two eating styles were identified: restrained eating (RE) and disinhibited eating (DE). Body weight status was evaluated using the body mass index (BMI) z-score and the waist-to-height ratio (WHtR). Spearman’s correlation coefficient and logistic regression analysis were used to assess the association between eating styles, diet quality, and body weight status. Results: Restrained eating was negatively correlated with nHDI (r = −0.178, p < 0.001) and positively correlated with the BMI z-score (r = 0.253, p < 0.001) and WHtR (r = 0.197, p < 0.001). Disinhibited eating was positively correlated with nHDI (r = 0.232, p < 0.001). Among adolescents with different RE and DE levels, significant differences in the mean nHDI, BMI z-score, and WHtR were found. Compared to adolescents with ‘low RE & DE’, those with ‘low RE & higher DE’ were more likely to fall in the upper than bottom tertile of nHDI (odds ratio (OR) =1.90, 95% CI: 1.29–2.81). Adolescents with ‘higher RE & low DE’ were less likely to be underweight (OR = 0.17, 95% CI: 0.06–0.49) and more likely to be overweight (OR = 2.02, 95% CI: 1.41–2.91) and to have abdominal obesity (OR = 1.79, 95% CI: 1.13–2.82). Conclusions: The findings suggest that both eating styles may be predictors of diet quality among adolescents. Body weight status was related to restrained eating, which seems to characterise mainly adolescents with overweight or obesity.

Critical Nutrition Literacy Is a Predictor of Diet Quality in College Students

Critical Nutrition Literacy Is a Predictor of Diet Quality in College Students

Eating self-regulatory skill, diet quantity, and diet quality of Malaysian healthcare university students: A cross-sectional study

Introduction: The ability to self-regulate eating can improve health. This study aimed to determine the relationship between eating self-regulatory skills, diet quantity, and diet quality among Malaysian university students. Methods: This cross-sectional study involved 132 university students. Eating self-regulatory skill was assessed using the Self-Regulation of Eating Behaviour Questionnaire (SREBQ). Dietary intakes from two 24-hour dietary recalls were used to assess diet quantity and quality. Diet quantity was measured as energy and macronutrient intakes, analysed using NutritionistPro. Diet quality was measured using the Malaysian Healthy Eating Index (M-HEI). The relationship between eating self-regulatory skills, diet quantity, and diet quality were evaluated using tests for differences between means and multiple linear regression. Results: Male participants (n=47) consumed more energy than female participants (n=85) (Male: 1850±570 kcal/day, Female: 1596±567 kcal/day, p=0.015). Participants from the Nutrition and Dietetics (N&D) course (n=49) had better M-HEI scores than participants from other health courses (n=83) (N&D course: 52.7±10.5, non-N&D course: 47.2±10.7, p=0.005). The predictors of energy intake were gender (β=-0.193, p=0.023) and SREBQ score (β=- 0.223, p=0.009). Being female and having higher eating self-regulatory skills were associated with lower energy intake. The predictors of diet quality were university course (β=0.240, p=0.005) and SREBQ score (β=0.181, p=0.033). Studying N&D and having higher eating self-regulatory skills were associated with higher M-HEI scores. Conclusion: Higher self-regulation of eating behaviour score is a factor that contributes to lower daily energy intake and higher diet quality score.

P043 Nutritional Self-Efficacy and Motivation to Learn About Growing and Preparing Food in Adolescents are Interrelated

<h3>Background</h3> Nutritional self-efficacy, confidence in following a healthy eating pattern, and growing and preparing food are predictors of diet quality (DQ), but their relationship is not understood. Self-efficacy may increase motivation to learn, and motivation to learn may influence related actions. Since nutritional self-efficacy is a predictor of DQ, and because individuals with higher DQ may grow and prepare their food, researchers speculate that people with higher nutritional self-efficacy have better motivation to learn about growing and preparing food. <h3>Objective</h3> To examine the relationship between nutritional self-efficacy and motivation to learn about growing and preparing food in adolescents. <h3>Study Design, Setting, Participants</h3> Data were collected cross-sectionally at four high schools in Florida in two waves (Spring and Fall 2021). Nutritional self-efficacy was assessed using 2-items from a health-efficacy assessment, and motivation to learn about these topics was assessed using an 8-item scale via the semantic differential method. Of the 381 participants, most were high school sophomores (28%), female (54%), and White (54%). <h3>Measurable Outcome/Analysis</h3> Participants were grouped into four categories based on their nutritional self-efficacy and motivation to learn was compared using ANOVA. <h3>Results</h3> Students who believed they could follow a healthy diet thought learning about these topics was more beneficial (<i>P =</i> 0.004) than those who thought they could hardly do so and more interesting (<i>P <</i> 0.02) than all other groups. Students who believed they could maintain a healthy diet thought learning was more interesting (<i>P =</i> 0.012), creative (<i>P =</i> 0.003), satisfying (<i>P =</i> 0.001), and beneficial (<i>P =</i> 0.001) than those who thought they could hardly do so. They also thought learning was more enjoyable (<i>P <</i> 0.045) than all other groups. <h3>Conclusions</h3> These results suggest that students with higher nutritional self-efficacy are more motivated to learn about growing and preparing food. A deeper understanding of this interrelationship may strengthen future interventions designed to improve students' DQ. <h3>Funding</h3> Walmart Foundation

Examining differences in diet quality between Canadian Indigenous and non-Indigenous adults: results from the 2004 and 2015 Canadian Community Health Survey Nutrition Surveys.

The Truth and Reconciliation Commission includes a call to action to close gaps in health outcomes, including type 2 diabetes, of which diet quality must be considered an important mediator. The objectives of this study were to compare diet quality between off-reserve Indigenous and non-Indigenous adults in 2004 and 2015, and examine food security as a predictor of diet quality. We employed a repeated cross-sectional design using the 2004 and 2015 Canadian Community Health Surveys-Nutrition. Both surveys include a representative sample of the Canadian population in the 10 provinces, excluding the northern territories and people living on-reserve. Healthy Eating Index (HEI) values were estimated, using 24-hour dietary recalls, for the Indigenous and non-Indigenous population in each time period. After matching, a generalized linear model was applied to test for differences in HEI between groups across time period, adjusting for household food security. Overall, HEI scores were not significantly different for Indigenous men and women in 2015 as compared with 2004, but continued to be lower compared with those of the non-Indigenous population. Indigenous adults reported significantly lower diet quality independent of food security status and other factors. Scores pertaining to percent energy from 'other' foods improved in 2015 compared with 2004. Dietary disparities persist between Indigenous and non-Indigenous populations. While addressing household food insecurity among Indigenous populations is necessary to improve diet quality, it is not sufficient. Results suggest that factors other than food insecurity and socio-economic status are impacting disparities in diet quality among Indigenous adults.

Relationships of Child-, Parents-, and Environment-Associated Determinants with Diet Quality, Physical Activity, and Smoking Habits Among Indonesian Urban Adolescents.

The trend of unhealthy lifestyles is increasing among adolescents and has been associated with the rising burden of noncommunicable diseases (NCDs). However, specific determinants of unhealthy lifestyles among adolescents in low- and middle-income countries remain limited. To investigate the relationships of child-, parents-, and environment-associated determinants with diet quality, physical activity, and smoking habits among low-socioeconomic urban adolescents. A cross-sectional study involving 238 adolescents aged 11 to 17 years was conducted in Jakarta, Indonesia. Adolescents and their parents were interviewed to assess the determinants of healthy lifestyles that included diet quality, physical activity, and smoking habits. Diet and physical activity were quantified using the Diet Quality Index for Adolescents (DQI-A) and Physical Activity Questionnaire for Older Children (PAQ-C), respectively. Multiple regression was used to determine the β coefficients and odds ratios predictive of healthy lifestyles. Mean scores of DQI-A and PAQ-C were considered low (33.5% ± 8.9% and 2.1 ± 0.5, respectively). Overall, 17.6% of adolescents were smokers, with 88% of these being males. Predictors of diet quality were child- (age, gender) and environment-associated (house size, access to a computer) determinants with β coefficients of -6.52 to 3.26. The PAQ-C score was associated with child- (female) and environment-associated (living area) determinants with β coefficients of -0.45 and 0.14, respectively. Younger adolescents and females were protective factors for smoking. Parents-associated determinants were not associated with any lifestyle indicators. Child- and environment-associated determinants were predictors of healthy lifestyles among adolescents. Thus, personal empowerment and environment transformation are needed to facilitate a healthy lifestyle and reduce the burden of NCDs among adolescents.

A lipid-related metabolomic pattern of diet quality

Adherence to a healthy diet has been associated with reduced risk of chronic diseases. Identifying nutritional biomarkers of diet quality may be complementary to traditional questionnaire-based methods and may provide insights concerning disease mechanisms and prevention. To identify metabolites associated with diet quality assessed via the Alternate Healthy Eating Index (AHEI) and its components. This cross-sectional study used FFQ data and plasma metabolomic profiles, mostly lipid related, from the Nurses' Health Study (NHS, n=1460) and Health Professionals Follow-up Study (HPFS, n=1051). Linear regression models assessed associations of the AHEI and its components with individual metabolites. Canonical correspondence analyses (CCAs) investigated overlapping patterns between AHEI components and metabolites. Principal component analysis (PCA) and explanatory factor analysis were used to consolidate correlated metabolites into uncorrelated factors. We used stepwise multivariable regression to create a metabolomic score that is an indicator of diet quality. The AHEI was associated with 83 metabolites in the NHS and 96 metabolites in the HPFS after false discovery rate adjustment. Sixty-three of these significant metabolites overlapped between the 2 cohorts. CCA identified "healthy" AHEI components (e.g., nuts, whole grains) and metabolites (n=27 in the NHS and 33 in the HPFS) and "unhealthy" AHEI components (e.g., red meat, trans fat) and metabolites (n=56 in the NHS and 63 in the HPFS). PCA-derived factors composed of highly saturated triglycerides, plasmalogens, and acylcarnitines were associated with unhealthy AHEI components while factors composed of highly unsaturated triglycerides were linked to healthy AHEI components. The stepwise regression analysis contributed to a metabolomics score as a predictor of diet quality. We identified metabolites associated with healthy and unhealthy eating behaviors. The observed associations were largely similar between men and women, suggesting that metabolomics can be a complementary approach to self-reported diet in studies of diet and chronic disease.

Neighborhood Deprivation Predicts Diet Quality at One Year of Age

Abstract Objectives Diet quality in childhood predicts diet quality and obesity in adulthood. Breastfeeding (BF) history and neighborhood socio-economic position (SEP) are associated with diet quality in school-age children, but little is known about the effect of neighborhood on the developing diet in infancy. We analyzed data from PREVAIL, a birth cohort in Cincinnati, OH, to examine residence in a low-SEP neighborhood as a predictor of diet quality in infants. Methods PREVAIL subjects (n = 153) with a completed a food frequency questionnaire (FFQ) at 12 months of age were included for analysis. The FFQ estimated infant daily intake of tubers, fruits, vegetables, nuts/legumes, meats and grains. BF initiation and duration, and household confounding factors were determined via periodic questionnaires throughout infancy. Diet quality was measured in terms of BF history, daily portions of fruits &amp; vegetables (F&amp;V) and sugar sweetened beverages, and a calculated dietary diversity score. Subject residence was geocoded and assigned a Deprivation Index (DI) score, a composite of US census-derived factors describing community-level SEP. Diet quality measures were analyzed in relation to the infant's Deprivation Index quartile (DIQ), with quartiles ranked from the least (Q1) to most (Q4) deprived neighborhoods. Results DIQ was inversely associated with diet quality measured by median daily F&amp;V intake (Q1 3.1, Q2 3.4, Q3 3.5, Q4 1.7, P &amp;lt; 0.001), median dietary diversity score (Q1 4.0, Q2 3.7, Q3 3.5, Q4 3.1, P = 0.03), BF initiation (Q1 93.6%, Q2 93.5%, Q3 88.9%, Q4 74.4%, P = 0.03) and BF duration (Q1 296 days, Q2 214 days, Q3 70 days, Q4 32 days, P &amp;lt; 0.001). DIQ was positively associated with sugar-sweetened beverage portions (Q1 0, Q2 0, Q3 0.4, Q4 0.4, P &amp;lt; 0.001). In Poisson regression models, DI was negatively predictive of dietary diversity score (P = 0.04) and F&amp;V intake (P &amp;lt; 0.001) and positively predicted sugar-sweetened beverage portions (P = 0.004). Furthermore, BF initiation (P &amp;lt; 0.001) and BF ≥ 3 weeks (P &amp;lt; 0.001) positively predicted F&amp;V portions. Conclusions In the PREVAIL cohort, infants residing in lower-SEP neighborhoods had significantly lower diet quality based on several measures. Improving diet quality in infancy should focus on low-SEP communities and incorporate BF promotion and support. Funding Sources Centers for Disease Control and Prevention.

Daily Snacking Occasions, Snack Size, and Snack Energy Density as Predictors of Diet Quality among US Children Aged 2 to 5 Years.

Whether snacks help young children meet nutritional needs or merely contribute to excessive intakes is debated. This research evaluated associations of snacking with dietary quality among US preschoolers (two to five years, n = 4217) in the 2005–2016 National Health Examination Survey (NHANES). Snacking occasions, size, and energy density (ED) were estimated from two 24-hr dietary recalls. Diet quality indices included the 2015 Healthy Eating Index (HEI-2015, 0–100), the mean adequacy ratio (MAR, 0–100) for five shortfall nutrients (vitamin D, calcium, fiber, potassium, and iron), and the mean % of recommended limits for added sugars, saturated fat, and sodium. Linear regressions included snacking parameters, demographics, and dietary reporting accuracy. Children had a mean HEI-2015 of 53.0, a MAR of 67.7, and intake of 121.4% of nutrients to limit. Daily snacking occasions were positively associated with HEI-2015 scores, whereas mean snack size and ED were negatively associated with HEI-2015 and MAR scores (all p < 0.05). Snack ED was positively associated with daily intakes of added sugar, saturated fat, and sodium (p < 0.001). These nationally representative findings reveal that more frequent, smaller, and less energy-dense snacks are associated with higher diet quality among US preschoolers.

Predictors of Diet Quality as Measured by Malaysian Healthy Eating Index among Aboriginal Women (Mah Meri) in Malaysia.

Socioeconomic status and nutrition knowledge are the determining factors of food choices. However, their relationship with diet quality is ambiguous among aboriginal women in Malaysia. Henceforth, the objective of this study was to examine diet quality and its predictors among the aboriginal women from the Mah Meri ethnic group in Malaysia. Data on socioeconomic characteristics, nutrition knowledge, and 24-h dietary recalls were obtained through face-to-face interviews with the respondents. Household food insecurity was assessed using Radimer/Cornell Hunger and Food Insecurity Instrument. The Malaysian Healthy Eating Index (HEI) was used to measure the diet quality of this population. The overall diet quality of the respondents was poor, with a mean Malaysian HEI score of 45.3%. Household income (r = 0.242, p < 0.001) and nutrition knowledge (r = 0.150, p < 0.05) were positively correlated with diet quality. More importantly, the predictors of diet quality were marital status (β = 0.181, p < 0.01), household income (β = 0.237, p < 0.001), food security status (β = −0.151, p < 0.01), and fat intake (β = −0.438, p < 0.001). Women being married and those with higher household income was associated with a better diet quality among Malaysian aborigines.

Exploring Diet Quality between Urban and Rural Dwelling Women of Reproductive Age.

Health disparities, including weight gain and obesity exist between urban and rural dwelling women. The primary aim was to compare diet quality in urban and rural women of reproductive age, and secondary analyses of the difference in macronutrient and micronutrient intake in urban and rural women, and the predictors of diet quality. Diet quality was assessed in urban (n = 149) and rural (n = 394) women by a modified version of the Dietary Guideline Index (DGI) energy, macronutrient and micronutrient intake from a food frequency questionnaire (FFQ) and predictors of diet quality. Diet quality did not significantly differ between urban and rural women (mean ± standard deviation (SD), 84.8 ± 15.9 vs. 83.9 ± 16.5, p = 0.264). Rural women reported a significantly higher intake of protein, fat, saturated fat, monounsaturated fat, cholesterol and iron and a higher score in the meat and meat alternatives component of the diet quality tool in comparison to urban women. In all women, a higher diet quality was associated with higher annual household income (>$Australian dollar (AUD) 80,000 vs. <$AUD80,000 p = 0.013) and working status (working fulltime/part-time vs. unemployed p = 0.043). Total diet quality did not differ in urban and rural women; however, a higher macronutrient consumption pattern was potentially related to a higher lean meat intake in rural women. Women who are unemployed and on a lower income are an important target group for future dietary interventions aiming to improve diet quality.

Diet Quality of Urban Older Adults Age 60 to 99 Years: The Cardiovascular Health of Seniors and Built Environment Study

There are few studies that evaluate dietary intakes and predictors of diet quality in older adults. The objectives of this study were to describe nutrient intakes and examine associations between demographic, economic, behavioral, social environment, and health status factors and diet quality. Cross-sectional data were from black, white, and Hispanic adults, age 60 to 99 years, living independently in New York City and participating in the Cardiovascular Health of Seniors and the Built Environment Study, 2009-2011 (n=1,306). Multivariable log-linear regression estimated associations between selected factors and good diet quality, defined as a Healthy Eating Index score more than 80 (based on the 2005 Dietary Guidelines for Americans [HEI-2005]). Dietary intakes were similar for men and women; intakes of energy, fiber, and the majority of micronutrients were less than recommendations, whereas intakes of fats, added sugar, and sodium were within the upper range or exceeded recommendations. Hispanic ethnicity (relative risk [RR]=1.37; 95% CI 1.07 to 1.75), energy intake <∼1,500 kcal/day (RR=1.93; 95% CI, 1.37 to 2.71), adherence to a special diet (RR=1.23; 95% CI: 1.02 to 1.50), purchasing food at supermarkets at least once/week (RR=1.34; 95% CI, 1.04 to1.74), and being married/living with a partner (RR=1.37; 95% CI, 1.10 to 1.71) were positively associated with HEI-2005 score more than 80. Consuming at least one restaurant meal/day was negatively associated with HEI-2005 score more than 80 (RR=0.69; 95%CI, 0.50-0.94). These findings identify specific groups of older adults, such as blacks or those who live alone, who may benefit from dietary interventions, as well as specific modifiable behaviors among older adults, such as eating restaurant meals or shopping at supermarkets, which may be targeted through interventions.

Predictors of Diet Quality among Overweight and Obese Postmenopausal Women

Previous studies have shown that sociodemographic characteristics can be determinants of healthful eating. However, health characteristics such as smoking status have not been well studied. The objective of this research, therefore, was to determine predictors of diet quality in postmenopausal women. We included 164 overweight or obese postmenopausal women aged 50 to 75 years living in and around Seattle, WA, and intake, measured by food frequency questionnaire, was used to calculate scores for the Diet Quality Index and Healthy Eating Index. Information on sociodemographic factors and health behaviors was collected by self-administered questionnaire. Body mass index was computed using duplicate measures of height and weight. Percent body fat was measured by dual-energy x-ray absorptiometry. Following data collection, one-way analysis of variance, χ 2, and Pearson correlations were used to compare means of diet quality scores across participant characteristics. We found that predictors of better diet quality in this study population were higher education and former smoking history (compared to never-smokers); there was no evidence for a relationship with income level. Individuals with higher-quality diets were more likely to have lower body mass index or percent body fat. Based on the results of this study, education level and smoking history are predictors of diet quality among overweight and obese postmenopausal women. These findings add to the increasing evidence for targeting public health interventions to individuals with lower education because this group stands to benefit from improved dietary intake. In addition, these results suggest that the timing of smoking cessation is a possible teachable moment for food and nutrition professionals.

Demographic factors associated with the diet quality of older US men: baseline data from the Osteoporotic Fractures in Men (MrOS) study

Throughout the world, the proportion of the male population aged 65 years and older is increasing. Yet, we have limited information regarding diet quality and predictors of diet quality in this segment of the population. The objectives of the current analyses are to describe the diet quality of a cohort of men >65 years of age, and identify lifestyle factors associated with poor diet quality. We present a cross-sectional analysis of the diet quality of 5928 men, aged 65-100 years, who are participants in the Osteoporotic Fractures in Men (MrOS) cohort study. Dietary intake was determined using a modified Block 98 food-frequency questionnaire. Diet quality was calculated using the previously validated Diet Quality Index-Revised (DQI-R). Univariate and multivariate modelling was used to estimate the variance in diet quality predicted by a number of sociodemographic factors, including age, race/ethnicity, body mass index (BMI), marital status, education, smoking status, physical activity, self-perceived health and nutritional supplement use. Overall, we found that in this geographically diverse group of older men, diet quality was low, with a mean modified DQI-R for the entire study population of 62.5 (standard deviation 13.1) out of an ideal of 100. Further, younger age, very low total calorie intake (< or = 1187 kcal day- 1), higher BMI, residence in a North or Southeast community, being of African-American or Hispanic race, being less educated, not using dietary supplements and smoking were each significant independent predictors of a poorer diet. These data may prove useful in both understanding the dietary intake of older US men as it relates to published dietary guidelines, and for targeting future dietary intervention programmes.