scholarly journals Adherence to the Healthy Eating Index-2015 across Generations Is Associated with Birth Outcomes and Weight Status at Age 5 in the Lifeways Cross-Generation Cohort Study

Nutrients ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 928 ◽  
Author(s):  
Pilar Navarro ◽  
John Mehegan ◽  
Celine M. Murrin ◽  
Cecily C. Kelleher ◽  
Catherine M. Phillips

Maternal dietary quality during pregnancy is associated with offspring outcomes. These associations have not been examined in three-generation families. We investigated associations between parental and grandparental dietary quality, determined by healthy eating index (HEI)-2015, and offspring birth outcomes and weight status at age 5. The Lifeways cohort study in the Republic of Ireland comprises 1082 index-child’s mothers, 333 index-child’s fathers, and 707 grandparents. HEI-2015 scores were generated for all adults from prenatal dietary information collected using a validated food frequency questionnaire. In an adjusted model, greater adherence to the maternal HEI was associated with lower likelihood of low birth weight (LBW) (OR: 0.72, 95% CI: 0.50–0.99, p = 0.04). Similarly, maternal grandmothers (MGM) with higher HEI scores were less likely to have grandchildren with LBW (OR: 0.87, 95% CI: 0.61–0.96, p = 0.04) and more likely to have macrosomia (OR: 1.10, 95% CI: 1.01–1.22, p = 0.03). Higher paternal and paternal grandmothers (PGM) HEI scores were associated with lower likelihood of childhood obesity (OR: 0.89, 95% CI: 0.30–0.94, p = 0.03) and overweight (OR: 0.83, 95% CI: 0.22–0.99, p = 0.04), respectively. Mediation analysis showed significant direct relationship of MGM and PGM HEI scores on grandchildren’s birthweight and obesity, respectively. In conclusion, maternal line dietary quality appears to influence fetal growth whereas paternal line dietary quality appears to influence postnatal growth.

2010 ◽  
Vol 13 (8) ◽  
pp. 1170-1177 ◽  
Author(s):  
Megan E Grimstvedt ◽  
Kathleen Woolf ◽  
Brandy-Joe Milliron ◽  
Melinda M Manore

AbstractObjectiveTo assess the dietary quality of older women with and without rheumatoid arthritis (RA) using the Healthy Eating Index-2005 (HEI-2005) to identify potential strategies to improve the nutritional status.DesignCross-sectional. Diet was assessed using 7 d food records and analysed for nutrient composition (Food Processor v. 7·11). Diet quality was determined using the HEI-2005, a measure of compliance with 2005 US Dietary Guidelines. Individuals with RA completed a self-reported evaluation of arthritis (pain scale and disability index). Independent two-tailed t tests or Mann–Whitney tests compared the differences between groups and correlations were computed between HEI-2005 and measures of disease reactivity.SettingArizona, USA.SubjectsOlder (≥ 55 years) women (n 108) with RA (n 52) and healthy controls (HC; n 56).ResultsThere were no differences between groups in age, weight, or BMI (kg/m2). HC participants had higher mean HEI-2005 scores for whole fruit (cups; P = 0·02), total fruit (cups; P = 0·05), whole grains (oz; P = 0·004), oil (g; P = 0·05) and total HEI score (P = 0·04) than the RA group. In the RA group, these same HEI components were inversely correlated with disability index (r = −0·20, P = 0·04). Participants with RA reported lower mean intakes of carbohydrate (g; P = 0·02), fibre (g; P = 0·01) and vitamin C (mg; P = 0·04).ConclusionsThis is the first study examining the dietary quality in older women with and without RA using the HEI-2005. Living with RA was associated with significantly lower dietary quality. Since even small changes in dietary quality can translate into better nutritional status, future interventions should focus on increasing dietary quality in this high-risk group.


Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2667
Author(s):  
Barbara Lohse ◽  
Kathryn Faulring ◽  
Diane C. Mitchell ◽  
Leslie Cunningham-Sabo

Public health guidelines advise eating regular meals without defining “regular.” This study constructed a meaning for “regular” meals congruent with dietary quality. Parents of 4th grade youth in a school-based intervention (Clinicaltrials.gov NCT02491294) completed three, ASA24 online 24-h dietary recalls. Differences in time of intake across days for breakfasts, lunches, dinners were categorized with consistency denoted as always, often/sometimes or rarely/never and assigned values of 3, 2 or 1, respectively. Meal-specific values were summed to form mealtime regularity scores (mReg) ranging from 3 (low) to 9. Healthy eating index (HEI) scores were compared to mReg controlling for weekday/weekend recall pattern. Linear regression predicted HEI scores from mReg. Parents (n = 142) were non-Hispanic white (92%), female (88%) and educated (73%). One mReg version, mReg1 was significantly associated with total HEI, total fruit, whole fruit, tended to correlate with total protein, seafood/plant protein subcomponents. mReg1 predicted total HEI (p = 0.001) and was inversely related to BMI (p = 0.04). A score of three (always) was awarded to breakfasts, lunches or dinners with day-to-day differences of 0–60 min; also, lunches/dinners with one interval of 60–120 min when two meals were ≤60 min apart. More rigid mReg versions were not associated with dietary quality.


2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Pilar Navarro ◽  
John Mehegan ◽  
Celine Murrin ◽  
Cecily Kelleher ◽  
Catherine Phillips

AbstractMaternal adherence to healthy lifestyle behaviours during pregnancy has been associated with reduced risk of obesity in the offspring. Our objective is to examine the association between a composite healthy lifestyle score (HLS) derived from body mass index (BMI), dietary quality, physical activity, smoking and alcohol intake, in expectant mothers and adverse offspring birth outcomes and childhood obesity. The Lifeways Cross-Generation Study comprises 1082 mother-child pairs. We defined five healthy lifestyle factors during pregnancy including: high dietary quality (top 40% of the Healthy Eating Index (HEI)-2015), moderate to vigorous physical activity (MVPA), healthy pre-pregnancy BMI (18.5–24.9 Kg/m2), never smoker, and no/moderate alcohol intake. A composite HLS was calculated (scored 0–5). Birthweight, length and head circumference were abstracted from hospital records. Waist circumference and BMI was determined when the child was 5 and 9 years. Logistic regression analyses were used to test HLS and individual HLS component associations with offspring birth and childhood outcomes. Offspring birthweight, length and head circumference were positively associated with the number of maternal healthy lifestyle factors (p < 0.001), whereas child BMI and incidence of overweight/obesity at age 5 and 9 were negatively associated with the maternal HLS (p < 0.05). In multivariable models, a lower maternal HLS (0–2 healthy lifestyle factors) was associated with increased risk of low birthweight (LBW) (OR:1.17, 95% CI:1.01–2.69, p = 0.043) and lower likelihood of macrosomia (OR:0.73, 95% CI:0.24–0.99, p = 0.034), relative to those with 5 healthy lifestyle factors. Examination of the individual HLS components revealed that, poor maternal dietary quality, smoking and alcohol intake were associated with higher risk of LBW (OR:1.61, 95%CI:1.01–7.85, p = 0.043, OR: 2.54, 95%CI:1.26–5.12, p = 0.025 and OR:2.30, 95%CI:1.01–5.26, p = 0.031, respectively). Likelihood of macrosomia and combined overweight/obesity at age 5 and 9 years was greater among mothers with a pre-pregnancy BMI in the obese range (OR:2.18, 95%CI:1.23–3.85, p = 0.042, OR:2.19, 95%CI:1.01–5.08, p = 0.03 and OR:3.89, 95%CI:1.00–10.59, p = 0.04, respectively). Smoking during pregnancy was also linked to greater risk of childhood overweight/obesity (OR:1.91, 95%CI:1.01–3.61, p = 0.04 at age 5 and OR:2.14, 95%CI:1.01–4.11, p = 0.03 at age 9). Our findings suggest that maternal adherence to a healthy lifestyle during pregnancy, in particular having a good quality diet, not smoking and no/low alcohol intake in combination with a healthy pre-pregnancy BMI, is associated with reduced risk of adverse offspring birth outcomes and childhood obesity. These findings highlight the potential benefits of implementing maternal based multifactorial interventions to improve offspring birth outcomes and combat childhood adiposity.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 248-248
Author(s):  
Ana Moyeda Carabaza ◽  
Phrashiah Githinji ◽  
Bong Nguyen ◽  
Mary Murimi

Abstract Objectives To assess factors that contribute to the total diet quality and the associated body mass index (BMI) among adults. Methods A cross-sectional study was conducted to assess dietary quality using the Healthy Eating Index (HEI)-2015 among faculty and staff (N = 152) of a public university. The Food Frequency Questionnaire from the Health and Retirement Study was administered via Qualtrics. Dietary quality was determined using the HEI-2015. Weight, height, number of meals consumed away-from-home per week were self-reported. Descriptive statistics were used to analyze demographic characteristics, number of meals consumed away-from-home, dietary intake, and associated HEI score was calculated. Linear regression models were used to measure associations between the total diet quality, nutrient intakes and the number of away-from-home meals consumed with BMI. Results The average age of participants was 34.3 ± 12.3 years. A majority were female and white Americans (74.3%) and had post-secondary education (79.6%). Approximately, one-third of participants (32.2%) reported having a BMI equal or greater than 30 kg/m2. More than half of the participants exceeded the recommended limit for the consumption of saturated fats (69.7%), and sodium (52.6%); and a majority did not meet the minimum recommended intakes of dietary fiber (96.1%). The average HEI score was 66.34 on a 100-point scale. Only 14.5% had a good dietary quality with a HEI score equal or higher than 80. The number of away-from-home meals consumed per week were associated with an increased intake of trans fatty acids (P &lt; .05), while, increased the consumption of trans fatty acids was associated with an increase in BMI (P &lt; .001) in this study. On the contrary, an increase in the HEI score was associated with a reduction in BMI (P &lt; .05). Conclusions This study found that a high percentage of participants had a low diet quality that was characterized by excessive intake of both saturated fats and sodium and inadequate intake of dietary fiber. In addition, the consumption of meals away-from-home was associated with an increase in the amount of trans fatty acids consumed. Concurrently, the consumption of trans fatty acids was associated with an increase in BMI. These results underscore the importance of eating meals prepared at home in an effort to control weight gain. Funding Sources TTU Transdisciplinary Research Academy.


2010 ◽  
Vol 35 (6) ◽  
pp. 826-833 ◽  
Author(s):  
Sarah J. Woodruff ◽  
Rhona M. Hanning

The purpose of this study was to determine diet quality and physical activity behaviours of grade 6 students by sex and body weight status, and to determine the associations between diet quality and physical activity behaviours. The Web-based Food Behaviour Questionnaire, which included a 24-h diet recall and the modified Physical Activity Questionnaire for Older Children (PAQ-C), was administered to a cross-section of schools (n = 405 students from 15 schools). Measured height and weight were used to calculate body mass index and weight status (Cole et al. 2000). A Canadian version of the Healthy Eating Index (HEI-C) was used to describe overall diet quality. The mean HEI-C was 69.6 (13.2) with the majority (72%) falling into the needs improvement category. The overall mean physical activity score was 3.7 out of a maximum of 5, with obese subjects being less active compared with normal weight and overweight (p < 0.001). Ordinal logistic regression analysis (of HEI-C vs. all measures of the PAQ-C, sex, and weight status) revealed that HEI-C ratings were likely to be higher in students that walked to and from school 5 days per week (vs. 0 days per week; odds ratio 3.18, p = 0.010); and were active 1 evening per week (vs. none; odds ratio 3.48, p = 0.039). The positive association between diet quality and some aspects of physical activity suggests possible clustering of health behaviours. Future research should test the potential benefits of promoting 1 health behaviour (e.g., healthy eating) with another (e.g., physical activity).


2015 ◽  
Vol 115 (11) ◽  
pp. 1779-1788 ◽  
Author(s):  
Maria Jose Romo-Palafox ◽  
Nalini Ranjit ◽  
Sara J. Sweitzer ◽  
Cindy Roberts-Gray ◽  
Deanna M. Hoelscher ◽  
...  

2010 ◽  
Vol 14 (2) ◽  
pp. 290-296 ◽  
Author(s):  
Maria Tsigga ◽  
Vlasios Filis ◽  
Konstantina Hatzopoulou ◽  
Charalambos Kotzamanidis ◽  
Maria G Grammatikopoulou

AbstractObjectiveTo assess differences in the Healthy Eating Index (HEI) during pregnancy with the pre-gravid and gravid weight status of women.DesignCross-sectional.SettingAthens, Greece.SubjectsOne hundred pregnant women, inhabitants of Athens.ResultsThe mean raw HEI score of the sample was 66·9 (sd 7·6) and the mean HEI adjusted for energy intake was 66·9 (sd 0·6). No difference was recorded between the adjusted HEI and different gravidities, the embryo’s sex, different income categories or education. When HEI was categorised as low, average and adequate, living in an urban residence increased the odds for demonstrating low HEI score (OR = 10·231, 95 % CI 1·300, 80·487). HEI score during pregnancy was significantly higher in participants who were either pre-gravidly underweight or of normal body weight (BW). In relation to the gestational weight status, the highest HEI scores and protein intake were shown in the underweight and of normal BW participants compared with the obese. According to the simple correspondence analysis, adequate HEI was associated with rural residence and being underweight or having normal BW during pregnancy. Low HEI was associated with overweight and obesity during pregnancy, with obesity before pregnancy and living in an urban environment. HEI was negatively correlated to the pre-conceptional and gestational BMI (r = −0·298, P ≤ 0·003 and r = −0·345, P ≤ 0·001) and to the week of gestation (r = −0·285, P ≤ 0·004).ConclusionsOverall, the HEI of the sample was mediocre. Women who were underweight or of normal BW exhibited a better diet quality compared with obese women; thus the latter consist a population in greater need for supervised nutrition and dietary counselling during pregnancy.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Jamal Rahmani ◽  
Karim Parastouei ◽  
Maryam Taghdir ◽  
Heitor O. Santos ◽  
Farinaz Hosseini Balam ◽  
...  

Background. The overall dietary quality, as well as the dietary total antioxidant capacity (DTAC), deserves central attention in the management of borderline high glucose levels since nonpharmacological strategies are imperative in this regard. Thus, we aimed to investigate the association between prediabetes with dietary quality and DTAC. Methods. A case-control study was conducted on 49 patients with prediabetes and 98 controls. Demographics, anthropometric measures, and fasting blood glucose levels of all participants were obtained. Participants completed a validated 80-item food frequency questionnaire (FFQ). DTAC scores were generated using FFQ data, and Healthy Eating Index-2015 (HEI-2015) was used as a diet quality index. The lowest tertile of HEI-2015 and DTAC was considered as the reference category, and logistic regression was used to estimate the relationship between prediabetes with HEI-215 and DTAC. Results. Mean age and body mass index of participants were 47.42 ± 15.98 years and 27.90 ± 4.96 kg/m2. Patients with prediabetes had lower DTAC scores when compared to controls (11.86 ± 5.77 and 17.81 ± 12.08, P  = 0.01). There was a significant inverse association between the highest tertile of the DTAC score when compared with the lowest tertile in crude (OR = 0.11; 95% CI: 0.03–0.43), age-adjusted (OR = 0.13; 95% CI: 0.03–0.48), and fully adjusted (OR = 0.09; 95% CI: 0.02–0.53) models. In contrast, there was no difference between HEI-2015 in patients with prediabetes when compared to controls (74.41 ± 8.91 and 74.41 ± 9.35, respectively; P  = 0.85). Correspondingly, no difference was observed between the highest tertile of the HEI-2015 score when compared with the lowest tertile in crude (OR = 1.23; 95% CI: 0.53–2.86), age-adjusted (OR = 1.17; 95% CI: 0.48–2.82), and fully adjusted (OR = 1.53; 95% CI: 0.56–4.16) models. Conclusion. This study demonstrates a clear association between prediabetes with less DTAC, but not with HEI-2015.


2020 ◽  
pp. 1-9
Author(s):  
Amy R Gelfand ◽  
Christy C Tangney

Abstract Objective: To describe diet quality (Healthy Eating Index 2010 (HEI-2010) and Healthy Eating Index 2015 (HEI-2015)) according to self-reported cannabis use among the National Health and Nutrition Examination Survey (NHANES) adult participants. Design: Utilizing cross-sectional data, we assessed diet quality with up to two 24-h diet recalls from NHANES participants. Usual intakes were estimated via the multivariate Markov Chain–Monte Carlo method. Diet quality scores were compared among never users, previous users and current users of cannabis. Setting: NHANES surveys from 2005 to 2016. Participants: Adult NHANES participants (17 855) aged 20–59 years with valid data for dietary recalls and drug use questionnaires. Results: Current adult cannabis users (ages 20–59 years) had significantly lower total diet quality (HEI-2010) scores (51·8 ± 0·7) compared with previous (56·2 ± 0·4) and never users (57·7 ± 0·4). Similar differences in total and individual HEI-2015 scores were observed. For the HEI-2015 scores, cannabis users had a significantly higher (better) sodium scores (4·1 ± 0·2) compared with never users (3·3 ± 0·1) and previous users (3·2 ± 0·1). Cannabis users scored lower compared with never users on total vegetables (3·1 ± 0·1 v. 3·7 ± 0·0), total fruit (2·1 ± 0·1 v. 3·0 ± 0·1) and whole fruit (2·2 ± 0·1 v. 3·3 ± 0·1) for the HEI-2015 index. Conclusions: Current cannabis users’ usual intakes reflect lower diet quality compared with never or previous users, particularly lower subcomponent scores of total vegetables, greens and beans, total fruit and whole fruit. Cannabis users should increase their intake of fruit and vegetables to improve overall diet quality.


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