Alternative methods of accounting for underreporting and overreporting when measuring dietary intake-obesity relations

The intake of ultra-processed foods and homocysteine levels in women with(out) overweight and obesity: The Rotterdam Periconceptional Cohort

PURPOSE

Today's diet consists of a substantial proportion of ultra-processed foods (UPF), especially in women with overweight and obesity in the reproductive period. High UPF intake results in an inadequate and unbalanced diet leading to derangements of several metabolic pathways detrimental to pregnancy and birth outcomes. Therefore, we aim to investigate whether UPF intake in the periconceptional period affects total homocysteine plasma levels (tHcy).

METHODS

1532 participants were included from the prospective Rotterdam Periconceptional Cohort. UPF intake was calculated using Food Frequency Questionnaires including items classified as 4 in the Nova classification, and tHcy was measured by using liquid chromatography-tandem mass spectrometry system, with an interassay coefficient of variation of < 5.5%. Multivariable linear regression modeling was used and adjusted for covariates and significant interaction terms.

RESULTS

Women with overweight or obesity showed significantly higher percentage of UPF intake (respectively, 50.3 and 51.3%) and higher tHcy (respectively, 6.6 and 6.3 µmol/L, Kruskal-Wallis test; respectively, p < 0.001 and p = 0.04) compared to women with normal BMI (UPF intake: 46.8%, tHcy: 6.1 µmol/L). A 10% higher intake of UPF was associated with an increase in tHcy (adjusted: β = 1.31, 95% CI = 0.38-2.23). Analysis stratified for BMI classification showed comparable associations in normal weight participants (adjusted: β = 1.07, 95% CI = 0.06-2.07); however, no significant association in participants with overweight (adjusted: β = 0.06, 95% CI = - 0.95-1.07) and obesity (adjusted: β = 1.70, 95% CI = - 0.52-3.92) was shown.

CONCLUSION

This study showed that a higher intake of UPF is associated with increased tHcy. Better knowledge and awareness of the nutritional quality of the diet in the periconceptional period may contribute to 1-CM and subsequently improve pregnancy course and outcome.

TRIAL REGISTRATION NUMBER AND DATE

NTR4356, November 2010.

Variation in ultra-processed food consumption from 6 to 15 years, body weight and body composition at 15 years of age at The Pelotas 2004 Birth Cohort

BACKGROUND

The association of ultra-processed food (UPF) consumption with obesity and adipose tissue in children/adolescents remains poorly understood.

OBJECTIVE

To assess the association of UPF consumption with excessive weight (EW-defined as BMI-for-age ≥+1 z-score) and body composition at 15 years.

METHODS

In a birth cohort, daily UPF consumption was estimated by Food Frequency Questionnaires at 6 and 15 years. Those in the higher tercile of UPF consumption at both follow-ups were the 'always-high consumers'. Air-displacement plethysmography provided fat mass (FM-kg), fat-free mass (FFM-kg), %FM, %FFM, FM index (FMI-kg/m2 ) and FFM index (FFMI-kg/m2 ). Logistic regression and linear regression were used to estimate, respectively, odds ratios and beta coefficients.

RESULTS

Amongst 1584 participants, almost one in every seven were always-high consumers. In crude analyses, there was no association between variation in UPF consumption and EW, and body fat parameters were lower in the always-high consumer group than amongst the always-low consumers, in both sexes. With adjustment for confounders, the odds ratio for EW was higher in the always-high consumer than amongst the always-low consumer group, and the direction of the associations with FM parameters was reversed: males from the always-high consumer group presented almost twice as high FM (10.5 vs. 18.6 kg; p < 0.001) and twice as high FMI (3.4 vs. 6.3 kg/m2 ; p < 0.001) than the always-low consumer group, and females from the always-high consumer group presented on average 32% more FM and FMI than the always-low consumer group.

CONCLUSIONS

In crude and adjusted analyses there was a strong association between high UPF consumption from childhood to adolescence, EW and higher body fat parameters at 15 years, but its deleterious association with body adiposity was only uncovered after adjusting for confounders.

The dietary approaches to stop hypertension (DASH) dietary pattern in childhood in relation to cardiometabolic risk in adolescence and early adulthood in the ALSPAC birth cohort

OBJECTIVE

To investigate the relationship between the dietary approaches to stop hypertension (DASH)-style dietary patterns in childhood and cardiometabolic risk (CMR) in adolescence/early adulthood.

DESIGN

Data were obtained from the Avon Longitudinal Study of Parents and Children (ALSPAC) prospective cohort. Diet diary data collected at 7, 10 and 13 years were used to calculate DASH-style diet scores (DDS). Multivariable linear regression models were used to investigate the associations between the DDS at 7, 10 and 13 years and CMR scores, calculated at 17 and 24 years.

SETTING

The ALSPAC cohort included children born in south-west England in 1991-1992.

PARTICIPANTS

Children with complete dietary, covariate and cardiometabolic data at 17 (n 1,526) and 24 years (n 1,524).

RESULTS

A higher DDS at 7 and 10 years was negatively associated with CMR scores at 17 years (β = -0·64 (95 % CI -1·27, -0·006), Ptrend=0·027 for fifth v. first DDS quintile at 7 years; β = -0·73 (95 % CI -1·35, -0·12) and Ptrend=0·037 for fifth v. first DDS quintile at 10 years) and at 24 years (β = -0·92 (95 % CI -1·49, -0·34) Ptrend = 0·001 for fifth v. first DDS quintile at 7 years; β = -0·60 (95 % CI -1·20, -0·05) Ptrend = 0·092 for fifth v. first DDS quintile at 10 years). No associations were found between the DDS at 13 years and CMR score at 17 and 24 years.

CONCLUSION

Greater adherence with a DASH-style diet during childhood was associated with better cardiometabolic health in adolescence/adulthood in the ALSPAC cohort. The components of the DASH diet could be recommended to improve children's cardiometabolic health.

Association of Plant Protein Intake With Risk of Incident CKD: A UK Biobank Study

RATIONALE & OBJECTIVE

Data suggest that various dietary interventions slow kidney disease progression and improve clinical outcomes for those with chronic kidney disease (CKD). However, the association between plant protein intake and incident CKD has been uncertain.

STUDY DESIGN

Prospective cohort study.

SETTING & PARTICIPANTS

117,809 participants who completed at least 1 dietary questionnaire and had an estimated glomerular filtration rate (eGFR) ≥ 60mL/min/1.73m2, a urinary albumin-creatinine ratio (UACR)<30mg/g, and no history of CKD.

EXPOSURE

Daily plant protein intake in g/kg/day.

OUTCOME

Incident CKD based on the International Classification of Diseases, 10th Revision (ICD-10) or the Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4) codes.

ANALYTICAL APPROACH

A cause-specific proportional hazards analysis incorporating competing risks that treated death occurring before incident CKD as a competing event.

RESULTS

During a median follow-up period of 9.9 years, incident CKD occurred in 3,745 participants (3.2%; incidence rate, 3.2 per 1,000 person-years). In a multivariable model, the adjusted hazard ratio (AHR) for the second, third, and highest quartiles of plant protein intake was 0.90 (95% CI, 0.82-0.99), 0.83 (95% CI, 0.75-0.92), and 0.82 (95% CI, 0.73-0.93), respectively, compared with the lowest quartile. Modeled as a continuous variable, the AHR per 0.1g/kg/day plant protein intake increase was 0.96 (95% CI, 0.93-0.99). This beneficial association was also consistent in secondary analyses for which CKD was defined based on codes or 2 consecutive measures of eGFR<60mL/min/1.73m2 or UACR>30mg/g. Various sensitivity analyses demonstrated consistent findings.

LIMITATIONS

Potential incomplete dietary assessments; limited generalizability due to the characteristics of participants in the UK Biobank Study.

CONCLUSIONS

In this large, prospective cohort study, greater dietary plant protein intake was associated with a lower risk of incident CKD. Further interventional studies demonstrating the kidney-protective benefits of plant protein intake are warranted.

PLAIN-LANGUAGE SUMMARY

Plant-based diets confer various health benefits, including lowering the risk of cardiovascular disease and certain cancers. However, the relationship between plant protein intake and the risk of chronic kidney disease (CKD) remains unclear. Our study investigated the association between plant protein intake and the development of CKD. Using the UK Biobank Study data, we found that participants with a higher plant protein intake had a lower risk of developing CKD. Our finding suggests that a higher dietary intake of plant-based protein may be beneficial for kidney health and provides insight into dietary interventions to prevent CKD in primary care settings.

Reproducibility and relative validity of a semi-quantitative food and beverage frequency questionnaire for Spanish children aged 3 to 11 years: the COME-Kids F&B-FQ

A reliable food and beverage frequency questionnaire (F&B-FQ) to measure dietary intakes for children across Spain is currently unavailable. Thus, we designed and assessed the reproducibility and relative validity of a new F&B-FQ in 210 Spanish children aged 3-11 years. COME-Kids F&B-FQ contained 125 items to assess the usual diet intake in the past year among children. To explore the reproducibility, caregivers answered COME-Kids F&B-FQ twice over a 15-day period (± 1 week). To evaluate the relative validity, estimates from a third COME-Kids F&B-FQ administered at 1 year of follow-up were compared with the mean estimates from 3-day dietary records (3d-DR) collected at baseline, 6 months, and after 1 year of follow-up. Reproducibility and relative validity of the COME-Kids F&B-FQ in estimating food groups and nutrients were assessed using Pearson (r) and intra-class (ICC) correlation coefficients. We used the kappa index to evaluate the agreement in repeat administrations or with the 3d-DR. We used Bland-Altman plots to identify bias across levels of intake. A total of 195 children (105 boys, 90 girls) completed the study. The reproducibility of data estimated from COME-Kids F&B-FQ was substantial with mean r and ICC being 0.65 and 0.64 for food groups and 0.63 and 0.62 for nutrients, respectively. Validation assessments comparing the FFQ and 3d-DRs showed r = 0.36 and ICC = 0.30 for food groups and r = 0.29 and ICC = 0.24 for nutrients. The mean agreement for food group reproducibility and relative validity was 86% and 65%, respectively. These estimates were 85% for reproducibility and 64% for relative validity in the case of nutrients. For reproducibility and relative validity, the overall mean kappa index was 63% and 37% for all food groups and 52% and 27% for nutrients, respectively. Bland-Altman plots showed no specific bias relating to the level of intake of nutrients and several food groups.

CONCLUSION

COME-Kids F&B-FQ showed substantial reproducibility and acceptable relative validity to assess food and beverage intake in Spanish children aged 3 to 11 years. Most children were correctly classified in relation to the intake of food groups and nutrients, and misclassification was unlikely with reference to 3d-DR.

WHAT IS KNOWN

• The estimation of dietary intake in children is complex, especially in large cohorts. • The food frequency questionnaire is a well-recognized and the most frequently used method for assessing food consumption.

WHAT IS NEW

• A new food and beverage frequency questionnaire including a beverage section and novel plant-based food items has been validated in Spanish children aged 3-11 years.

Prospective association between adherence to UK dietary guidelines in school-age children and cardiometabolic risk markers in adolescence/early adulthood in the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort

Research into how alignment to UK dietary guidelines during childhood affects cardiometabolic health is limited. The association between adherence to UK dietary guidelines during childhood and overall cardiometabolic risk (CMR) in adolescence/early adulthood was explored using data from the Avon Longitudinal Study of Parents and Children (ALSPAC). ALSPAC children with diet diaries completed at 7, 10 and 13 years of age, and data on CMR markers at 17 years (n 1940) and 24 years (n 1957) were included. A children's Eatwell Guide (C-EWG) score was created by comparing dietary intakes at each age to UK dietary guidelines for nine foods/nutrients. Cardiometabolic health at 17 and 24 years was assessed using a composite CMR score. Multivariable linear regression models examined associations between C-EWG scores at 7, 10 and 13 years and the CMR score at 17 and 24 years, adjusting for confounders. C-EWG scores were generally low. However, a higher score (adherence to more dietary guidelines) at 7 years old was associated with a lower CMR score at 17 and 24 years: β -0·13 (95 % CI -0·25, -0·01) and β -0·25 (95 % CI -0·38, -0·13) for a 1-point increase in C-EWG score, respectively. A higher C-EWG score at 10 years was also associated with a lower CMR z-score at 24 years. No clear associations were evident at other ages. Greater adherence to UK dietary guidelines during mid-childhood was associated with a better overall cardiometabolic profile, suggesting that encouraging children to eat in this way has long-term benefits to health.

Diet quality partially mediates the association between ultraprocessed food consumption and adiposity indicators

OBJECTIVE

This study evaluated the potential role of overall diet quality in the associations between ultraprocessed food (UPF) consumption and adiposity indicators among Korean adults.

METHODS

Baseline data of participants (n = 4331) of the Cardiovascular and Metabolic Diseases Etiology Research Center (CMERC) cohort study were obtained. Dietary information was collected by a validated food frequency questionnaire. UPF was defined using the NOVA classification. Overall diet quality was assessed using the Korean Healthy Eating Index. Adiposity indicators included BMI, waist circumference, percentage body fat by bioimpedance, and visceral fat mass by whole-body dual-energy x-ray absorptiometry. Mediation analysis after adjustment for potential confounders was performed.

RESULTS

UPF intake was associated with higher adiposity indicators after adjustment for confounders. The mediating effect of the Korean Healthy Eating Index on the relationship between UPF consumption and each adiposity indicator was 35.6% (95% CI: 4.9% to 255.9%) for BMI, 38.3% (17.9% to 132.1%) for waist circumference, 40.2% (8.3% to 259.4%) for percentage body fat, and 60.7% (-396.4% to 662.7%) for visceral fat mass.

CONCLUSIONS

UPF consumption was positively associated with adiposity indicators, which were partially attributed to the overall diet quality. Further studies are needed to better understand the causal mechanisms of these associations.

Adherence to UK dietary guidelines in school-aged children from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort

Compliance to UK dietary recommendations was assessed in school-aged children from a population-based cohort: the Avon Longitudinal Study of Parents and Children (ALSPAC). A Children's Eatwell Guide (C-EWG) score was developed to assess socio-demographic predictors of meeting dietary recommendations. ALSPAC children with plausible diet diary data at 7 years (n 5373), 10 years (n 4450) and 13 years (n 2223) were included in the study. Their dietary intakes (recorded between 1998 and 2006) were compared with dietary guidelines for total and saturated fats, free sugars, salt, fibre, protein, carbohydrates, fruit and vegetables, non-oily and oily fish and red/processed meat. The C-EWG score (0-9 points) indicated the number of recommendations met at each age. Cross-sectional associations between socio-demographic characteristics and C-EWG scores were assessed using multivariable regression. The lowest adherence to guidelines at 7 years was for sugar (0·1 % meeting recommendations), followed by fibre (7·7 %), oily fish (9·5 %), saturated fat (9·7 %) and fruit and vegetables (15·2 %). Highest adherence was for limiting red/processed meat (67·3 %) and meeting carbohydrate recommendations (77·3 %). At 7 years, 12·1 % of participants failed to meet any of the nine recommendations, 26·9 % met one and 28·2 % met two. Similar patterns were seen at 10 and 13 years. A lower social class and maternal educational attainment and higher maternal BMI were associated with meeting fewer recommendations. Most school-aged children in this cohort did not meet UK dietary recommendations, particularly children from lower socio-economic backgrounds. Additional public health initiatives are needed to improve the quality of UK children's diets, particularly targeting lower socio-economic groups.

Exploring the underlying mechanisms of obesity and diabetes and the potential of Traditional Chinese Medicine: an overview of the literature

Obesity and diabetes are closely related metabolic disorders that have become major public health concerns worldwide. Over the past few decades, numerous studies have explored the underlying mechanisms of these disorders and identified various risk factors, including genetics, lifestyle, and dietary habits. Traditional Chinese Medicine (TCM) has been increasingly recognized for its potential to manage obesity and diabetes. Weight loss is difficult to sustain, and several diabetic therapies, such as sulfonylureas, thiazolidinediones, and insulin, might make it harder to lose weight. While lifestyle changes should be the primary approach for people interested in lowering weight, drugs are also worth investigating. Since some of the newer glucose-lowering medications that cause weight loss, such as glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2i), are additionally utilized or are under consideration for use as anti-obesity drugs, the frontier between glucose-lowering medication and weight loss drugs appears to be shifting. This review provides an overview of the literature on the underlying mechanisms of obesity and diabetes and the prospect of TCM in their management. We discuss the various TCM interventions, including acupuncture, herbal medicine, and dietary therapy, and their effects on metabolic health. We also highlight the potential of TCM in regulating gut microbiota, reducing inflammation, and improving insulin sensitivity. The findings suggest that TCM may provide a promising approach to preventing and managing obesity and diabetes. However, further well-designed studies are needed to confirm the efficacy and safety of TCM interventions and to elucidate their underlying mechanisms of action.

The Effect of Dietary Patterns and Nutrient Intake on Oxidative Stress Levels in Pregnant Women: A Systematic Review

During pregnancy, reactive oxygen species (ROS) may physiologically increase due to changes and growth of mother and fetal tissues. Consequently, oxidative stress (OS) may occur and be involved in the onset of pregnancy and newborn complications. Among exogenous antioxidant sources, diet is a cost-effective prevention strategy supporting the health of mothers and newborns; however, there is still a lack of nutritional education during pregnancy interviews. This review aims to systematically summarize the knowledge on the association between OS and diet during pregnancy. Four electronic databases (PubMed Central, EMBASE, Web of Science, and Food Science and Technology Abstracts) were searched on 22 December 2022. Among 4162 records, 13 original articles were finally included. Overall, 80% of the studies considered dietary patterns as exposure and 60% of them assessed the association with malondialdehyde levels in blood and urine. Three studies analyzed the influence of daily intakes of fruit and vegetables on different OS biomarkers (malondialdehyde, nitric oxide and 8-hydroxy-2'-deoxyguanosine). Among studies exploring dietary fat intakes (39%), 80% focused on polyunsaturated fatty acids, finding a positive association with glutathione peroxidase, biopirryn and isoprostane levels, respectively. Four studies analyzed vitamin intakes and 50% of them in association with 8-hydroxy-2'-deoxyguanosine.

Periconceptional Maternal Protein Intake from Animal and Plant Sources and the Impact on Early and Late Prenatal Growth and Birthweight: The Rotterdam Periconceptional Cohort

Plant-based diets continue to rise in popularity, including among women of reproductive age, while consequences for pregnancy outcomes have hardly been studied. During pregnancy, maternal diet is the only source of proteins for the developing fetus. Hence, we investigated the effects of periconceptional maternal animal and plant protein intake on prenatal growth and birthweight. 501 pregnancies were included from the prospective Rotterdam Periconceptional Cohort. Embryonic growth was depicted by crown-rump length (CRL) and embryonic volume (EV) at 7, 9 and 11 weeks using 3D ultrasound scans. Estimated fetal weight (EFW) at 20 weeks and birthweight were retrieved from medical records and standardized. Multivariable mixed models were used for CRL and EV trajectories, and linear regression for EFW and birthweight. A 10 g/day higher maternal animal protein intake was positively associated with increased embryonic growth (CRL: β = 0.023 √mm, p = 0.052; EV: β = 0.015 ∛cm, p = 0.012). A positive association, albeit non-significant, was found between maternal animal protein intake and EFW, and birthweight. No clear associations emerged between maternal plant protein intake and prenatal growth and birthweight, with effect estimates close to zero. In conclusion, maternal animal protein intake during the periconception period was positively associated with early and late prenatal growth and birthweight, while no associations were found between maternal plant protein intake and prenatal growth and birthweight.

Ultra-Processed Food Consumption during Pregnancy and Its Association with Maternal Oxidative Stress Markers

Ultra-processed food (UPF) consumption during gestation may lead to increased oxidative stress (OS) and could affect pregnancy outcomes. This study aims to evaluate the association of UPF consumption during pregnancy with circulating levels of OS markers. Diet was assessed (average of three assessments) in 119 pregnant women enrolled in the OBESO perinatal cohort (Mexico), obtaining quantitative data and the percentage of energy that UPFs (NOVA) contributed to the total diet. Sociodemographic, clinical (pregestational body-mass index and gestational weight gain) and lifestyle data were collected. Maternal circulating levels of OS markers (malondialdehyde (MDA), protein carbonylation (PC), and total antioxidant capacity (TAC)) were determined at the third trimester of pregnancy. Adjusted linear regression models were performed to analyze the association between UPFs and OS markers. UPFs represented 27.99% of the total energy intake. Women with a lower UPF consumption (<75 percentile°) presented a higher intake of fiber, ω-3, ω-6, and a lower ω-6/3 ratio. Linear regression models showed that UPFs were inversely associated with TAC and MDA. Fiber intake was associated with PC. UPF intake during pregnancy may result in an increase in oxidative stress. When providing nutrition care, limiting or avoiding UPFs may be an intervention strategy that could promote a better antioxidant capacity in the body.

The association of energy and macronutrient intake with all-cause mortality, cardiovascular disease and dementia: findings from 120 963 women and men in the UK Biobank

This study aimed to investigate the association between individual and combinations of macronutrients with premature death, CVD and dementia. Sex differences were investigated. Data were utilised from a prospective cohort of 120 963 individuals (57 % women) within the UK Biobank, who completed ≥ two 24-h diet recalls. The associations of macronutrients, as percentages of total energy intake, with outcomes were investigated. Combinations of macronutrients were defined using k-means cluster analysis, with clusters explored in association with outcomes. There was a higher risk of death with high carbohydrate intake (hazard ratios (HR), 95 % CI upper v. lowest third 1·13 (1·03, 1·23)), yet a lower risk with higher intakes of protein (upper v. lowest third 0·82 (0·76, 0·89)). There was a lower risk of CVD with moderate intakes (middle v. lowest third) of energy and protein (sub distribution HR (SHR), 0·87 (0·79, 0·97) and 0·87 (0·79, 0·96), respectively). There was a lower risk of dementia with moderate energy intake (SHR 0·71 (0·52, 0·96)). Sex differences were identified. The dietary cluster characterised by low carbohydrate, low fat and high protein was associated with a lower risk of death (HR 0·84 (0·76, 0·93)) compared with the reference cluster and a lower risk of CVD for men (SHR 0·83 (0·71, 0·97)). Given that associations were evident, both as single macronutrients and for combinations with other macronutrients for death, and for CVD in men, we suggest that the biggest benefit from diet-related policy and interventions will be when combinations of macronutrients are targeted.

No association between dietary magnesium intake and body composition among Iranian adults: a cross-sectional study

PURPOSE

Obesity is becoming more prevalent worldwide. Magnesium (Mg) intake may play a role in the regulation of energy metabolism and body weight. Therefore, in this cross-sectional study, we aimed to investigate the association between dietary Mg intake and body composition among healthy adults.

METHODS

A total of 778 adult men and women aged 18-59 years who attended health care centers in Tehran, Iran, entered the final analysis. Dietary intake was assessed with a validated and reliable food frequency questionnaire with 168 items and the dietary Mg intake was estimated using Nutritionist IV software. Anthropometric measurements and blood samples were collected and body composition was evaluated employing the Body Mass Index (BMI), A Body Shape Index (ABSI), Body Adiposity Index (BAI), Body Roundness Index (BRI), Visceral Adiposity Index (VAI), Lipid Accumulation Index (LAP), and Triglyceride-Glucose index (TyG). Multiple linear regression analysis was used to determine the association of the dietary Mg intake with body composition indices.

RESULTS

The mean daily dietary Mg intake was 294 ± 140 mg in men and 262 ± 112 mg in women. Unadjusted linear regression showed that dietary magnesium intake is significantly associated with a waist to hip ratio (WHR) and total cholesterol (TC) in men, and hip circumference (HC) in women. After adjusting for potential confounders including age, education, marriage, occupation and smoking, total energy intake, and activity score, there remained no significant association between dietary Mg intake and any of the body composition indices including BMI, ABSI, BAI, BRI, VAI, LAP, and TyG neither in men nor women.

CONCLUSION

Higher Mg intake was not associated with anthropometric indices in Iranian adults, according to our findings. Additional observational studies would be beneficial in clarifying the existing findings.

Effect of a High Fat Diet vs. High Carbohydrate Diets With Different Glycemic Indices on Metabolic Parameters in Male Endurance Athletes: A Pilot Trial

Consuming low glycemic carbohydrates leads to an increased muscle fat utilization and preservation of intramuscular glycogen, which is associated with improved flexibility to metabolize either carbohydrates or fats during endurance exercise. The purpose of this trial was to investigate the effect of a 4-week high fat low carbohydrate (HFLC-G: ≥65% high glycemic carbohydrates per day; n = 9) vs. high carbohydrate low glycemic (LGI-G: ≥65% low glycemic carbohydrates daily; n = 10) or high glycemic (HGI-G: ≥65% fat, ≤ 50 g carbohydrates daily; n = 9) diet on fat and carbohydrate metabolism at rest and during exercise in 28 male athletes. Changes in metabolic parameters under resting conditions and during cycle ergometry (submaximal and with incremental workload) from pre- to post-intervention were determined by lactate diagnostics and measurements of the respiratory exchange ratio (RER). Additionally, body composition and perceptual responses to the diets [visual analog scale (VAS)] were measured. A significance level of α = 0.05 was considered. HFLC-G was associated with markedly decreased lactate concentrations during the submaximal (−0.553 ± 0.783 mmol/l, p = 0.067) and incremental cycle test [−5.00 ± 5.71 (mmol/l) × min; p = 0.030] and reduced RER values at rest (−0.058 ± 0.108; p = 0.146) during the submaximal (−0.078 ± 0.046; p = 0.001) and incremental cycle test (−1.64 ± 0.700 RER × minutes; p < 0.001). In the HFLC-G, fat mass (p < 0.001) decreased. In LGI-G lactate, concentrations decreased in the incremental cycle test [−6.56 ± 6.65 (mmol/l) × min; p = 0.012]. In the LGI-G, fat mass (p < 0.01) and VAS values decreased, indicating improved levels of gastrointestinal conditions and perception of effort during training. The main findings in the HGI-G were increased RER (0.047 ± 0.076; p = 0.117) and lactate concentrations (0.170 ± 0.206 mmol/l, p = 0.038) at rest. Although the impact on fat oxidation in the LGI-G was not as pronounced as following the HFLC diet, the adaptations in the LGI-G were consistent with an improved metabolic flexibility and additional benefits regarding exercise performance in male athletes.

Misreporting of dietary energy intake obtained by 24 h recalls in older adults: a comparison of five previous methods using doubly labeled water

BACKGROUND/OBJECTIVE

To test five different methods to detect misreporting in comparison to doubly labeled water in a sample of older adults.

SUBJECTS/METHODS

A cross-sectional study with thirty-eight Brazilian community-dwelling older adults aged 60-84 years, who had their total energy expenditure measured by doubly labeled water (TEE_DLW). Dietary data were collected by two 24 h recalls. Misreporting was compared with estimates obtained by the methods proposed by: Goldberg et al. [1, 2], Black [3], McCrory et al. [4], Huang et al [5], and Rennie et al [6]. Bland-Altman plots with 95% limits of agreement were constructed to assess the agreement between rEI and TEE_DLW. Weighted kappa coefficients, sensitivity and specificity analyses, and area under the receiving operator characteristic curve (AUC) were used to test the performance of each method.

RESULTS

The prevalence of under-reporters (UR) and over-reporters (OR) obtained by the reference (DLW) were 57.9% (n = 22) and 5.3% (n = 2), respectively. Black [3] presented the worst agreement and McCrory et al. [4] the best one to accurately classify individuals in the three categories of energy reporting. McCrory et al. [4] had the best performance in the sensitivity and specificity analyses detecting UR and plausible reporters.

CONCLUSIONS

There was a high prevalence of misreporting, especially underreporting, in this sample of community-dwelling Brazilian older adults. The study showed a wide variation in the accuracy of predictive methods to handle misreporting, with none of the equations showing outstanding agreement with the reference. When DLW is not available, a valid method should be chosen to address energy intake reporting.

Dietary cholesterol and egg intake are associated with the risk of gestational diabetes: a prospective study from Southwest China

Background

An increasing body of evidence suggests that cholesterol intake increases during pregnancy and may influence the risk of gestational diabetes mellitus (GDM). However, existing evidence remains controversial and limited. The present study aimed to determine the relation among dietary cholesterol, specifically egg consumption, in pregnant Chinese women and their risk of GDM.

Methods

A population-based study that included 1617 pregnant women was conducted in 2017. At baseline, dietary information was collected by 24-hour dietary recalls over three days. GDM was diagnosed by a 75 g 2-hr oral glucose tolerance test (OGTT) at 24-28 weeks of gestation. Logistic regression models were used to examine the associations of dietary cholesterol and egg intake with GDM. In addition, path analysis including cholesterol intake, plasma lipid profiles and GDM risk was conducted.

Results

The average total cholesterol intake was 340.8 mg/d, and cholesterol from eggs accounted for 59.2%. The odds ratio (OR) of GDM risk was 1.48 for the highest quartile of total cholesterol intake compared to the lowest quartile (95% CI 1.10-2.00; P_trend = 0.015) after adjustment for potential risk factors for GDM. Moreover, cholesterol from eggs rather than from other foods was positively associated with incident GDM (OR=1.09, 95% CI 1.03-1.17). Each additional egg consumed per day was positively correlated with a higher risk of GDM (OR=1.32, 95% CI 1.11-1.58). Path analysis indicated that cholesterol intake not only increased the risk of GDM by elevating plasma total cholesterol (TC), but also increased the risk of GDM through other non hyperlipidemia pathways.

Conclusions

Maternal dietary cholesterol intake was significantly associated with incident GDM, and egg consumption was a major driver of the association in this population. More studies are needed to substantiate these findings and to explore the underlying mechanisms.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-022-04382-y.

Energy intake misreport: how different methods affect its prevalence and nutrient intake estimates

BACKGROUND

Although different methods for the evaluation of energy intake (EI) misreport have been described, it is unclear which one is the most appropriate.

AIM

To assess the performance of these methods in the prevalence of EI misreports and accuracy of nutrient intake estimates.

METHODS

Reports of 3,639 adults from the Portuguese National Food, Nutrition and Physical Activity Survey 2015-2016 were classified using univariate (Willett; interquartile range) and multivariate (Goldberg; predicted total energy expenditure [pTEE], testing different standard deviations [SD]) methods. Self-reported intakes were compared to their respective estimates by urinary excretion in a sub-sample of 80. The effect of the exclusion of misreporters on nutrient estimates was assessed by the differences in linear regression coefficients between plausible and total sample.

RESULTS

The highest prevalence of EI misreport was observed using pTEE 1SD (63.9%). Differences in the associations between nutrient self-reported intake and estimated intake using urinary biomarkers were verified with misreporters' exclusion by pTEE 1SD method (β-protein = 0.209; 95% CI = 0.074-0.529; β-potassium = 0.276; 95% CI = 0.060-0.560) and Goldberg 2SD (β-protein = 0.080; 95% CI = 0.025-0.235; β-potassium = 0.106; 95% CI = -0.048-0.246).

CONCLUSIONS

Multivariate methods lead to a higher prevalence of misreports and larger differences in nutrient estimates. The application of the pTEE 1SD and Goldberg 2SD methods resulted in more accurate nutrient estimates.

Higher Animal Protein Intake During the Second Trimester of Pregnancy Is Associated With Risk of GDM

Background and Aims: This study aimed to examine the associations between the total protein intake as well as types and sources of proteins with the gestational diabetes mellitus (GDM) risk. Method and Results: This was a prospective cohort study of the pregnant women in Malaysia. In this study, the total, animal, and plant protein intakes were assessed using a semi-quantitative food frequency questionnaire. Of the 452 women, 48 (10.62%) were diagnosed with GDM. From pre-pregnancy to second trimester, most of the women had 10-20% of energy intake from protein (88.9-90.3%) and ≥75% of recommended protein intake (74.6-86.5%). The women in the highest tertile (T3) of total animal protein intake [adjusted odds ratio (AOR) = 2.76, 95% CI = 1.27-6.04] and red meat protein (AOR = 2.69, 95% CI = 1.27-5.70), specifically in the second trimester, had significantly higher GDM risk compared with the women in the middle tertile of intake (T2). Interestingly, the women in the T3 of egg protein in the second trimester were significantly at lower GDM risk (AOR = 0.43, 95% CI = 0.18-0.91) compared with those in T2. Conclusion: The highest tertile of animal protein (≥42.15 g/day) intake, particularly red meat protein in the second trimester was positively associated with the GDM risk, whereas the highest tertile of egg protein was inversely associated with the GDM risk. Protein intake before or during early pregnancy was not associated with the GDM risk. These findings underscore the importance of sources and types of protein intake, particularly after the first trimester of pregnancy, in relation to GDM risk.

Prospective Associations of Sugar-Sweetened Beverage Consumption During Adolescence with Body Composition and Bone Mass at Early Adulthood

BACKGROUND

Adolescents have a higher consumption of sugar-sweetened beverages (SSBs) than other age groups, but little is known of the impact of SSB intake during adolescence on body composition and bone mass in early adulthood.

OBJECTIVES

Associations of SSB intake from 14 to 20 y with fat, lean, and bone mass at 20 y of age were evaluated.

METHODS

Study participants were 1137 offspring (562 females) from the Raine Study. Food intake, including SSB consumption in servings/d (1 serving = 250 mL), was estimated using FFQs at 14, 17, and 20 y of age. DXA scanning at 20 y measured whole body fat mass, lean mass, and bone mineral content (BMC). Using latent class growth analysis, 4 SSB intake trajectory classes were identified: consistently low (n = 540, intakes mostly <0.5 serving/d), increasing (n = 65), decreasing (n = 258), and consistently high (n = 274, intakes mostly >1.3 servings/d).

RESULTS

Median total SSB intake was 0.8, 0.7, and 0.5 serving/d, and median carbonated SSB intake was 0.3, 0.3, and 0.4 serving/d at 14, 17, and 20 y, respectively. Mean ± SD BMI (in kg/m2) was 23.9 ± 4.2 at 20 y. After adjustment for covariates including sex, demographic, energy intake, and maternal factors, individuals with "consistently high" SSB consumption had significantly higher total body fat mass at 20 y than those with "consistently low" consumption (23.3 ± 0.6 compared with 21.2 ± 0.4 kg, P = 0.004), which remained significant after further adjustment for "Healthy" and "Western" dietary patterns (23.2 ± 0.6 compared with 21.2 ± 0.4 kg, P = 0.011). No significant associations were observed between SSB intake trajectory classes and lean body mass or BMC at 20 y.

CONCLUSIONS

In this cohort, consistently higher consumption of SSBs in adolescence and early adulthood are associated with increased fat mass but not with bone mass at 20 y of age.

[Protein intake in community-dwelling postmenopausal women and its relationship with sarcopenia]

OBJECTIVES

the general aging of the population is related to the increase in the prevalence of sarcopenic disease; especially among older women, this pathology is closely related to nutrition and specifically to protein consumption in older adults. The aim of our study was to evaluate the possible relationship between a low protein intake and a higher prevalence of sarcopenic disease, a worse dietary pattern, and lower physical performance in postmenopausal women living in the community.

MATERIAL AND METHODS

the study was carried out in a total of 164 independent women over 65 years of age, recruited from a municipal social center in Valencia (Benimaclet). The presence of sarcopenic pathology was evaluated using the latest algorithm published by EWGSOP2, and the intake of nutrients through a three-day dietary record. Physical performance was evaluated through the iPaq-e questionnaire, as well as the SPPB test and the 4-meter gait speed test.

RESULTS

the total sample comprised 164 women with a mean age of ± 72 years; 26.2 % of the sample had a protein intake lower than recommended by the FAO/WHO; 25.6 % of the women presented some stage of sarcopenia; regarding the prevalence of sarcopenic obesity, 12.2 % of the sample was affected by this disease. Significant relationships were found between protein consumption and the prevalence of sarcopenia (p = 0.021) and sarcopenic obesity (p = 0.043). Significant related differences were found between the majority of macronutrients and micronutrients under study and protein consumption. No relationship was found between protein intake and physical performance.

CONCLUSIONS

protein consumption in most of the women studied (73.8 %) was higher than the daily recommendations established by the FAO/WHO. There was a significant relationship between the prevalence of sarcopenia and sarcopenic obesity, and low protein intake. Higher protein intake was associated with a higher energy intake pattern. No relationship was found between protein intake and physical performance of the participants.

Weight-Related Information Avoidance Prospectively Predicts Poorer Self-Monitoring and Engagement in a Behavioral Weight Loss Intervention

BACKGROUND

Self-monitoring is a key component of behavioral weight loss (BWL) interventions. Past research suggests that individuals may avoid self-monitoring in certain contexts (e.g., skipping self-weighing after higher-than-usual calorie intake). However, no studies have attempted to quantify individuals' inclination to avoid information about their weight control ("weight-related information avoidance"; WIA) or prospectively examined its implications for treatment engagement and outcomes in BWL programs.

PURPOSE

Characterize WIA using a validated questionnaire among adults enrolled in BWL treatment and examine whether WIA prospectively predicts self-monitoring adherence, session attendance, treatment discontinuation, or weight loss.

METHODS

Participants (N = 87; MBMI = 34.9 kg/m2, 83% female) completed a measure of WIA prior to starting a 12 week, group-based BWL intervention. Participants were given digital self-monitoring tools and instructed to self-monitor their food intake daily, physical activity daily, and body weight weekly (Weeks 1-10) and then daily (Weeks 11-12). Session attendance and treatment discontinuation were recorded. Weight was measured in-clinic pretreatment and posttreatment.

RESULTS

While mean WIA was low (M = 2.23, standard deviation [SD] = 0.95; potential scale range: 1-7), greater WIA predicted poorer attendance (r = -.23; p = .03) and poorer self-monitoring of physical activity (r = -.28; p = .009) and body weight (r = -.32; p = .003). WIA did not predict food monitoring (p = .08), treatment discontinuation (p = .09), or 12 week weight loss (p = .91).

CONCLUSIONS

Greater WIA, as assessed via a brief questionnaire, may place individuals at risk for poorer self-monitoring and treatment engagement during BWL. Further research on the implications of WIA in the context of weight management is warranted, including evaluation of correlates, moderators, and mechanisms of action of WIA.

CLINICAL TRIAL REGISTRATION

NCT03337139.

Starchy vegetable intake in the first trimester is associated with a higher risk of gestational diabetes mellitus: a prospective population-based study

OBJECTIVE

The purpose of this study was to evaluate the association between starchy vegetable consumption and subgroup consumption in the first trimester and the risk of gestational diabetes mellitus (GDM).

METHODS

A prospective study (n = 1444) was conducted in China. Dietary information was assessed by 24-hour dietary recalls for three days and then we calculated the consumption of total starchy vegetable and its subgroups, including (1) potato and (2) other starchy vegetable (pumpkin, lotus root, yam, taro, water chestnut, pea, and cowpea). GDM was diagnosed according to the results of 75-g two-hour oral glucose tolerance test (OGTT) at 24-28 weeks of gestation. A modified log-binomial regression was used to estimate RRs and 95% CIs of GDM risk.

RESULTS

Among the 1444 participants in our study, 520 were diagnosed with GDM. The adjusted RRs (95% CIs) for GDM from the lowest to the highest quartiles of total starchy vegetable consumption were 1.00 (reference), 1.29 (1.06, 1.57), 1.13 (0.93, 1.40), and 1.26 (1.02, 1.56), respectively; p for trend = .032. For potato, the RR of GDM risk was 1.32 for the highest potato intake quartile compared with the lowest quartile (95% CI 1.07-1.64, p for trend = .003). In addition, we did not observe an association between other starchy vegetable intakes and GDM risk.

CONCLUSIONS

A higher consumption of total starchy vegetables and potatoes in the first trimester is associated with a greater risk of GDM.

A Dietary Inflammatory Index and associations with C-reactive protein in a general adult population

PURPOSE

Chronic low-grade inflammation is implicated in many of the diseases of ageing. Lifestyle factors, including diet may alter low-grade inflammation. This study aimed to assess cross-sectional associations between the Dietary Inflammatory Index (DII) score and the inflammatory marker C-reactive protein (CRP); and determine if any association differs according to age (< 50 vs ≥ 50 years).

METHODS

DII scores were calculated for respondents of the Australian Health Survey 2011-2012 using data from two 24-h recalls. Serum CRP was measured using ultrasensitive immunoturbidimetric assay. Associations between DII and CRP were assessed using multivariate linear regression adjusting for confounders (age education, physical activity, sex and smoking). Associations were assessed for the whole cohort and stratified at age 50 years.

RESULTS

The analysis included 2558 respondents with a mean BMI of 26.8 kg/m² (< 50 years n = 1099; ≥ 50 years n = 1459). Respondents in the lowest DII quartile (anti-inflammatory diet) reportedly consumed more grains, vegetables and legumes, fruit, milk products, meat, poultry, fish and eggs, unsaturated oils and alcohol compared to respondents in DII quartile 4. No associations were seen between DII and CRP after adjustment for confounders in the whole cohort or when stratified < 50 or ≥ 50 years.

CONCLUSIONS

The DII was not associated with CRP in this cross-sectional study. Inflammation is complex characterised by a cascade of the multiple inflammatory markers and understanding the temporal relationship between diet and the inflammatory process is an important area for future research.

The effect of different methods to identify, and scenarios used to address energy intake misestimation on dietary patterns derived by cluster analysis

Background

All self-reported dietary intake data are characterized by measurement error, and validation studies indicate that the estimation of energy intake (EI) is particularly affected.

Methods

Using self-reported food frequency and physical activity data from Alberta’s Tomorrow Project participants (n = 9847 men 16,241 women), we compared the revised-Goldberg and the predicted total energy expenditure methods in their ability to identify misreporters of EI. We also compared dietary patterns derived by k-means clustering under different scenarios where misreporters are included in the cluster analysis (Inclusion); excluded prior to completing the cluster analysis (ExBefore); excluded after completing the cluster analysis (ExAfter); and finally, excluded before the cluster analysis but added to the ExBefore cluster solution using the nearest neighbor method (InclusionNN).

Results

The predicted total energy expenditure method identified a significantly higher proportion of participants as EI misreporters compared to the revised-Goldberg method (50% vs. 47%, p < 0.0001). k-means cluster analysis identified 3 dietary patterns: Healthy, Meats/Pizza and Sweets/Dairy. Among both men and women, participants assigned to dietary patterns changed substantially between ExBefore and ExAfter and also between the Inclusion and InclusionNN scenarios (Hubert and Arabie’s adjusted Rand Index, Kappa and Cramer’s V statistics < 0.8).

Conclusions

Different scenarios used to account for EI misreporters influenced cluster analysis and hence the composition of the dietary patterns. Continued efforts are needed to explore and validate methods and their ability to identify and mitigate the impact of EI misestimation in nutritional epidemiology.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12937-021-00696-3.

The Influence of Specific Bioactive Collagen Peptides on Body Composition and Muscle Strength in Middle-Aged, Untrained Men: A Randomized Controlled Trial

It has been shown that specific collagen peptides combined with resistance training (RT) improves body composition and muscle strength in elderly sarcopenic men. The main purpose of this RCT study was to investigate the efficacy of the identical specific collagen peptides combined with RT on body composition and muscle strength in middle-aged, untrained men. Furthermore, in the exploratory part of the study, these results were compared with another group that had received whey protein in addition to the RT. Ninety-seven men completed this study and participated in a 12-week RT program. They ingested 15 g of specific collagen peptides (n = 30; CP-G), placebo (n = 31; P-G), or whey protein (n = 36; WP-G) daily. Changes in fat free mass and fat mass were determined by dual-energy X-ray absorptiometry (DXA), and isometric leg strength was measured. All participants had significantly (p < 0.01) improved levels in fat free mass (ΔCP-G = 3.42 ± 2.54 kg; ΔP-G = 1.83 ± 2.09 kg; ΔWP-G = 2.27 ± 2.56 kg), fat mass (ΔCP-G = -5.28 ± 3.19 kg; ΔP-G = -3.39 ± 3.13 kg; ΔWP-G = -4.08 ± 2.80 kg) and leg strength (ΔCP-G = 163 ± 189 N; ΔP-G = 100 ± 154 N; ΔWP-G = 120 ± 233 N). The main analysis revealed a statistically significantly higher increase in fat free mass (p = 0.010) and decrease in fat mass (p = 0.023) in the CP-G compared with the P-G. The exploratory analysis showed no statistically significant differences between WP-G and CP-G or P-G, regarding changes of fat free mass and fat mass. In conclusion, specific collagen peptide supplementation combined with RT was associated with a significantly greater increase in fat free mass and a decrease in fat mass compared with placebo. RT combined with whey protein also had a positive impact on body composition, but the respective effects were more pronounced following the specific collagen peptide administration.

Retrospectively Estimating Energy Intake and Misreporting From a Qualitative Food Frequency Questionnaire: An Example Using Australian Cohort and National Survey Data

Qualitative food frequency questionnaires (Q-FFQ) omit portion size information from dietary assessment. This restricts researchers to consumption frequency data, limiting investigations of dietary composition (i.e., energy-adjusted intakes) and misreporting. To support such researchers, we provide an instructive example of Q-FFQ energy intake estimation that derives typical portion size information from a reference survey population and evaluates misreporting. A sample of 1,919 Childhood Determinants of Adult Health Study (CDAH) participants aged 26-36 years completed a 127-item Q-FFQ. We assumed sex-specific portion sizes for Q-FFQ items using 24-h dietary recall data from the 2011-2012 Australian National Nutrition and Physical Activity Survey (NNPAS) and compiled energy density values primarily using the Australian Food Composition Database. Total energy intake estimation was daily equivalent frequency × portion size (g) × energy density (kJ/g) for each Q-FFQ item, summed. We benchmarked energy intake estimates against a weighted sample of age-matched NNPAS respondents (n = 1,383). Median (interquartile range) energy intake was 9,400 (7,580-11,969) kJ/day in CDAH and 9,055 (6,916-11,825) kJ/day in weighted NNPAS. Median energy intake to basal metabolic rate ratios were 1.43 (1.15-1.78) in CDAH and 1.35 (1.03-1.74) in weighted NNPAS, indicating notable underreporting in both samples, with increased levels of underreporting among the overweight and obese. Using the Goldberg and predicted total energy expenditure methods for classifying misreporting, 65 and 41% of CDAH participants had acceptable/plausible energy intake estimates, respectively. Excluding suspected CDAH misreporters improved the plausibility of energy intake estimates, concordant with expected body weight associations. This process can assist researchers wanting an estimate of energy intake from a Q-FFQ and to evaluate misreporting, broadening the scope of diet-disease investigations that depend on consumption frequency data.

Role of ultra-processed food in fat mass index between 6 and 11 years of age: a cohort study

BACKGROUND

Ultra-processed food consumption and obesity have been highlighted as an important relationship to public health. We aimed to evaluate the association between ultra-processed food consumption and body fat from 6 to 11 years of age.

METHODS

We assessed the association between ultra-processed food consumption (from food frequency questionnaires) and body fat (measured by air displacement plethysmography) between 6 and 11 years of age among participants of the Pelotas-Brazil 2004 Birth Cohort. The NOVA classification was used to classify foods according to the processing degree. Body fat was evaluated relative to the height using fat mass index (FMI). Generalized estimating equations were used to answer the main research question and mediation analyses were run to assess the direct and indirect effect of ultra-processed food in body fat.

RESULTS

At fully adjusted analysis, an increase of 100 g in contribution from ultra-processed food to daily food intake at between 6 and 11 years of age was associated with a gain of 0.14 kg/m² in FMI in the same period; 58% of the total effect of ultra-processed food intake at 6 years (in grams) over the change in FMI from 6 to 11 years was mediated by its calorie content.

CONCLUSIONS

Ultra-processed food consumption was associated with an increase in body fat from childhood to early adolescence, and this association was not just due to the effect of ultra-processed food on calorie content.

Mediterranean Diet and Risk of Dementia and Alzheimer's Disease in the EPIC-Spain Dementia Cohort Study

The Mediterranean diet (MD) has shown to reduce the occurrence of several chronic diseases. To evaluate its potential protective role on dementia incidence we studied 16,160 healthy participants from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Spain Dementia Cohort study recruited between 1992-1996 and followed up for a mean (±SD) of 21.6 (±3.4) years. A total of 459 incident cases of dementia were ascertained through expert revision of medical records. Data on habitual diet was collected through a validated diet history method to assess adherence to the relative Mediterranean Diet (rMED) score. Hazard ratios (HR) of dementia by rMED levels (low, medium and high adherence levels: ≤6, 7-10 and ≥11 points, respectively) were estimated using multivariable Cox models, whereas time-dependent effects were evaluated using flexible parametric Royston-Parmar (RP) models. Results of the fully adjusted model showed that high versus low adherence to the categorical rMED score was associated with a 20% (HR = 0.80, 95%CI: 0.60-1.06) lower risk of dementia overall and HR of dementia was 8% (HR = 0.92, 0.85-0.99, p = 0.021) lower for each 2-point increment of the continuous rMED score. By sub-types, a favorable association was also found in women for non-AD (HR per 2-points = 0.74, 95%CI: 0.62-0.89), while not statistically significant in men for AD (HR per 2-points = 0.88, 0.76-1.01). The association was stronger in participants with lower education. In conclusion, in this large prospective cohort study MD was inversely associated with dementia incidence after accounting for major cardiovascular risk factors. The results differed by dementia sub-type, sex, and education but there was no significant evidence of effect modification.

A cross sectional assessment of nutrient intake and the association of the inflammatory properties of nutrients and foods with symptom severity in a large cohort from the UK Multiple Sclerosis Registry

To assess the intake of nutrients in people with multiple sclerosis (pwMS) compared to a control population, and to assess the pro/ anti-inflammatory properties of nutrients/ foods and their relationships with fatigue and quality of life. This was a cross sectional study in which 2410 pwMS (686 men; 1721 women, 3 n/a, mean age 53 (11 years)) provided dietary data using a food frequency questionnaire that was hosted on the MS Register for a period of 3 months and this was compared to a cohort of 24,852 controls (11,250 male, 13,602 female, mean age 59 years). Consent was implied by anonymously filling out the questionnaire. A Wilcoxon test was used to compare intake between pwMS and controls, and a bivariate analyses followed by chi² test were undertaken to identify significance and the strength of the relationship between pro/anti-inflammatory dietary factors and fatigue and EQ-5D. Compared to controls, all nutrients were significantly lower in the MS group (P < .05). Bivariate associations showed a significant correlation between consuming fish and lower clinical fatigue (χ²(1) = 4.221, P< .05), with a very low association (φ (phi) = -0.051, P = .04. Positive health outcomes on the EQ-5D measures were associated with higher carotene, magnesium oily fish and fruits and vegetable and sodium consumption (P < .05). Fiber, red meat, and saturated fat (women only) consumption was associated with worse outcomes on the EQ-5D measures (P < .05). pwMS have different dietary intakes compared to controls, and this may be associated with worse symptoms.

Nutrition beyond the first 1000 days: diet quality and 7-year change in BMI and overweight in 3-year old children from the Dutch GECKO Drenthe birth cohort

The identification of early-life determinants of overweight is crucial to start early prevention. As weight gain accelerates between 2 and 6 years, we studied the association between diet quality in children aged 3 years and the change in BMI and overweight incidence in the following 7 years. From the Dutch GECKO Drenthe birth cohort, 1001 children born in 2006 or 2007 with complete data on diet (food frequency questionnaire at the age of 3 years) and growth at the age of 3 and 10 years were included. Diet quality was estimated with the evidence-based Lifelines Diet Score (LLDS). Measured height and weight at the age of 3 and 10 years were used to calculate BMI z-scores standardized for age and sex. The associations of the LLDS (in quintiles) with BMI-z change and overweight incidence were studied with linear and logistic regression analyses. Overweight prevalence in the total study population increased from 8.3% at the age of 3 years to 16.7% at the age of 10 years. The increase in overweight prevalence ranged from 14.7% in Q1 to 3.5% in Q5. Children with a better diet quality (higher quintiles of LLDS) increased significantly less in BMI-z (confounder adjusted βLLDS = -0.064 (-0.101; -0.026)). Children with a poor diet quality at the age of 3 years had a considerably higher risk for overweight at the age of 10 years (confounder adjusted OR for Q1 vs. Q5 was 2.86 (95% CI 1.34-6.13). These results show the importance of diet in healthy development in the early life following the first 1000 days when new habits for a mature diet composed of food groups with lifelong importance are developed, providing a relevant window for overweight prevention early in life.

Eating Timing: Associations with Dietary Intake and Metabolic Health

BACKGROUND

Emerging research indicates that eating timing may influence dietary intake and metabolic health. However, studies to date have not examined the association of multiple measures of eating timing with both dietary intake and metabolic health in adults with overweight and obesity.

OBJECTIVE

To examine the association of multiple measures of eating timing with dietary intake (ie, dietary composition, diet quality, and eating frequency) and metabolic health (ie, body composition and cardiometabolic risk).

DESIGN

This is a cross-sectional analysis of baseline data from a weight loss and maintenance intervention collected from May 2015 to January 2018.

PARTICIPANTS/SETTING

Participants were women with overweight or obesity who were dependents of active duty and retired military personnel (N = 229; mean ± standard error, BMI = 34.7 ± 0.4 kg/m², age = 40.9 ± 0.7 years). The study was conducted at military installations in Massachusetts, Connecticut, New York, Colorado, and Kentucky.

MAIN OUTCOME MEASURES

Eating timing variables examined included daily eating interval (time between first and last eating occasion), time-restricted eating (≤11 hours daily eating interval), early energy eaters (eating ≥60% of energy during the first half of time awake), and bedtime eaters (eating within 2 hours of bedtime).

STATISTICAL ANALYSIS

The main analysis was limited to those reporting plausible energy intake (64% of total sample [n = 146]). Linear, quantile, or logistic regression models were used to determine the association of eating timing with measures of dietary intake and metabolic health.

RESULTS

In individuals reporting plausible energy intake, each additional 1 hour in daily eating interval was associated with 53 kcal higher energy intake, higher glycemic load, eating frequency, and waist circumference (P < 0.05 for all). Significant associations were observed for: time-restricted eating and a lower energy intake, glycemic load, and eating frequency; early energy eating and higher carbohydrate intake; bedtime eating and a higher energy intake, glycemic load, and eating frequency.

CONCLUSIONS

These findings lend support for the mechanistic targeting of eating timing in behavioral interventions aimed at improving dietary intake and body composition.

Food cravings: Associations with dietary intake and metabolic health

Food cravings are a desire for specific foods which, if uncontrolled may lead to excess energy intake and weight gain. However, information on the relation between food cravings, dietary intake, and indices of metabolic health is limited. This study used baseline data from females (n = 229; aged 40.9 ± 0.7 years; BMI 34.7 ± 6.4 kg/m²) who were dependents of active duty and retired military personnel, and enrolled in the Healthy Families Healthy Forces weight loss and maintenance study. Measures obtained included food cravings using the Food Craving Questionnaire-Trait (which provides a habitual and stable measure of food cravings), dietary composition and eating patterns from three 24-h dietary recalls and the Stanford 7-day Physical Activity Recall, body composition from anthropometric measures, cardiometabolic risk factors from blood measures, and demographic information from questionnaires. Linear, quantile, or logistic regression models were used to examine the association of total food craving scores on dietary intake, and indices of metabolic health. In individuals reporting plausible energy intake (n = 146; 2210 ± kcals/day) higher food craving scores were associated with a lower diet quality (P < 0.05), higher eating frequency (P = 0.02), longer daily eating interval (P < 0.05), and a lower likelihood of following a time restricted eating pattern (P = 0.02). Food cravings were also positively associated with BMI (P = 0.03) and waist circumference (P = 0.01), but not with measures of cardiometabolic risk (LDL, HDL, total cholesterol:HDL, triglycerides, glucose, glycated hemoglobin, insulin and C-reactive protein concentrations, blood pressure, metabolic syndrome). Our findings of significant associations of food cravings with lower diet quality, poor eating patterns, and unfavorable body composition strongly support efforts of targeting cravings in behavioral programs for weight management.

Validity and reproducibility of a semi-quantitative food frequency questionnaire in Spanish preschoolers - The SENDO project

Introduction

Introduction: currently, it is important to determine whether food frequency questionnaires (FFQ) are valid tools to collect information on usual diet in children. Objective: we evaluated the reproducibility and validity of the semi-quantitative FFQ used in a Spanish cohort of children aged 4-7 years. Methods: to explore its reproducibility, parents filled a 138-item FFQ at baseline (FFQ-0) and then one year later (FFQ-1). To explore its validity, the FFQ-1 was compared with four weighed 3-day dietary records (DRs) that were used as standard of reference. To estimate associations we calculated deattenuated Pearson's correlation coefficients to correct for season-to-season variability, and the Bland-Altman index. We also calculated the weighted kappa index and assessed participant's gross misclassification across quintiles. We analyzed data from 67 (for reproducibility) and 37 (for validity) children aged 4-7 years old, recruited by the pilot study of the SENDO project. Results: regarding reproducibility, we found mean Bland-Altman indexes of 0-10.45 % for nutrients and 1.49 %-10.45 % for foods. The adjusted r ranged between 0.29 and 0.71, and between 0.27 and 0.74 for nutrients and foods, respectively. Regarding validity, we found mean Bland-Altman indexes of 0 %-16.22 % and 0 %-10.81 % for nutrients and for food groups, respectively. The deattenuated r ranged between 0.38 and 0.81 for nutrients, and between 0.53 and 0.68 for foods. The weighted kappa index for agreement across quintiles ranged from 54.1 to 85.1 for nutrients, and from 55.4 to 78.4 for food groups. Conclusions: our results showed acceptable levels of both reproducibility and validity, and that the ad-hoc developed FFQ is a valid tool for assessing usual diet in Spanish preschoolers.

Losing Weight after Menopause with Minimal Aerobic Training and Mediterranean Diet

Objective: It is a common belief that menopausal women have greater difficulty losing weight. The aim of this study was to assess the efficacy of a Mediterranean diet (MD) to promote weight loss in postmenopausal women. All participants were prescribed a hypocaloric traditional MD, tailored to the individual. Subjects were asked not to begin any kind of physical activity. Body composition was measured at the beginning and after 8 weeks of treatment. In total, 89 women (age 52.8 ± 4.5 years, BMI 30.0 ± 5.2 kg/m², fat mass 31.6 ± 10.5 kg) were divided into two groups: the first group consisted of fertile women over 45 years of age, the second group consisted of those diagnosed as menopausal. All women had an improvement in body composition (fat mass −2.3 ± 2.1 kg, p < 0.001; protein −0.1 ± 0.7 kg, p = 0.190) and blood pressure values. No differences were found between the two groups except for a higher reduction of low-density lipoprotein in the menopausal group (p = 0.035). A positive significant correlation between plant to animal protein ratio and fat-free mass variation was found in the menopausal group. These data suggest that a high adherence to a traditional MD would enable menopausal women to lose fat mass and maintain muscle mass with no significant difference to younger women. Fat mass reduction provides menopausal women with improved cardiovascular and metabolic risk factors.

The association between dietary patterns before and in early pregnancy and the risk of gestational diabetes mellitus (GDM): Data from the Malaysian SECOST cohort

Generally, dietary patterns (DP)s have been linked to the risk of diabetes mellitus, however, only few studies examined the associations between DPs in early pregnancy and the risk of gestational diabetes mellitus (GDM). This study aims to determine the association between DPs before and during pregnancy and risk of GDM in Malaysian pregnant women. DPs were derived using principal component analysis of consumed 126 food and beverage items assessed using a validated semi-quantitative food frequency questionnaire collecting data retrospectively for pre-pregnancy, but prospectively for the first and second trimester. Three different DPs were identified at each time point and labelled as DP 1–3 (pre-pregnancy), DP 4–6 (first trimester), and DP 7–9 (second trimester). About 10.6% (n = 48) of pregnant women were diagnosed with GDM in our cohort. Women with high adherence (HA) to DP 2 (adjusted OR: 0.45, 95% CI: 0.20–0.91) and DP 5 (adjusted OR: 0.28, 95% CI: 0.11–0.68) showed a significantly reduced risk of GDM compared to women with low adherence (LA). Other DPs were not significantly associated with GDM risk. Compared to women with GDM, non-GDM women showed HA scores for all DPs throughout pregnancy. Overall, a relative low percentage of women with GDM was found in this cohort. The risk was lower in women with HA to a relatively unhealthy dietary pattern, i.e. DP 2 and DP 5. The lower body mass index (BMI) status and energy intake of women showing a HA to DP 2 in the first trimester may underlie the observed association with a lower GDM risk. Additionally, genetic variance might explain the less susceptibility to GDM despite HA to unhealthy DPs among non-GDM women.

Dietary Carbohydrates and Insulin Resistance in Adolescents from Marginalized Areas of Chiapas, México

Evidence of the role that dietary carbohydrates (total carbohydrates, dietary fiber, total sugars, dietary glycemic index (GI) and glycemic load (GL)) exerts on insulin levels in adolescents is controversial. Thus, the aim of this study was to assess the association between dietary carbohydrates and insulin resistance in adolescents from Chiapas, México. A cross-sectional study was conducted in 217 adolescents. Sociodemographic, anthropometric, dietary and biochemical data were obtained. Total carbohydrates, dietary fiber, total sugars, dietary GI and GL were calculated from 24 h recalls. Two validated cut-off points for the homeostasis model assessment of insulin resistance (HOMA-IR) were used as surrogates of insulin resistance. Fasting insulin levels ≥ 14.38 μU/mL were considered as abnormal. Multivariate logistic regression models were fitted to assess the association between tertiles of dietary carbohydrates and insulin resistance or hyperinsulinemia. In our study, adolescents with the highest dietary fiber intake had lower odds of HOMA-IR > 2.97 (OR = 0.34; 95% CI: 0.13-0.93) when adjusted for sex, age, body fat percentage and saturated fatty acids intake. No significant associations were found for the rest of the carbohydrate variables. In summary, high-fiber diets reduce the probability of insulin resistance in adolescents from marginalized areas of Chiapas, México.

Dietary patterns of adults and their associations with Sami ethnicity, sociodemographic factors, and lifestyle factors in a rural multiethnic population of northern Norway - the SAMINOR 2 clinical survey

Background

Few population-based studies have assessed dietary behaviors in the rural multiethnic population of Northern Norway. The present study determined dietary patterns and investigated their association with Sami ethnicity, sociodemographic factors, and lifestyle factors in a multiethnic population in rural Northern Norway.

Methods

This cross-sectional study included 4504 participants of the SAMINOR 2 Clinical Survey (2012–2014) aged 40–69 years. All participants completed a lifestyle and food frequency questionnaire. Dietary patterns were determined using principal component analysis. Associations between food patterns and ethnicity, sociodemographic factors, and lifestyle factors were examined by multiple linear regression.

Results

Six dietary patterns were identified that accounted for 28% of the variability in food intake in the study sample: ‘processed meat/westernized’, ‘fish/traditional’, ‘fruit/vegetables’, ‘reindeer/traditional’, ‘bread and sandwich spreads’, and ‘sweets and bakery goods’. The ‘reindeer/traditional’ pattern was most common among the inland Sami population. The ‘fish/traditional’ pattern was most common among costal multiethnic Sami and least common among inland Sami and among women independent of ethnicity. The ‘fish/traditional’ pattern was also positively associated with older age, high education level, small household size, and smoking. Adherence to the ‘processed meat/westernized’ pattern was lower among inland Sami than inland/coastal non-Sami; no ethnic differences in adherence to this pattern were found between costal multiethnic Sami and inland/coastal non-Sami. Unhealthy lifestyle factors, like low physical activity level and smoking, and younger age were mainly associated with the ‘processed meat/westernized’ pattern, whereas socioeconomic factors like low education, low gross annual household income, and large household size were related to the ‘sweets and bakery goods’ pattern. Male gender, low education level, and smoking were associated with the ‘bread and sandwich spreads’ pattern. The ‘fruit/vegetables’ pattern was characterized by healthy dietary choices and a health-conscious lifestyle, and was more common in women with a high education level and income.

Conclusions

Adherence to the six identified dietary patterns was characterized by different sociodemographic and lifestyle factors. Ethnicity, in combination with geographical region of residence, was associated with dietary behaviors. This study provides knowledge that will be useful in future studies on dietary patterns related to chronic diseases in the rural population of Northern Norway.

Does exclusion of extreme reporters of energy intake (the "Goldberg cutoffs") reliably reduce or eliminate bias in nutrition studies? Analysis with illustrative associations of energy intake with health outcomes

BACKGROUND

The Goldberg cutoffs are used to decrease bias in self-reported estimates of energy intake (EISR). Whether the cutoffs reduce and eliminate bias when used in regressions of health outcomes has not been assessed.

OBJECTIVE

We examined whether applying the Goldberg cutoffs to data used in nutrition studies could reliably reduce or eliminate bias.

METHODS

We used data from the Comprehensive Assessment of Long-Term Effects of Reducing Intake of Energy (CALERIE), the Interactive Diet and Activity Tracking in American Association of Retired Persons (IDATA) study, and the National Diet and Nutrition Survey (NDNS). Each data set included EISR, energy intake estimated from doubly labeled water (EIDLW) as a reference method, and health outcomes including baseline anthropometric, biomarker, and behavioral measures and fitness test results. We conducted 3 linear regression analyses using EISR, a plausible EISR based on the Goldberg cutoffs (EIG), and EIDLW as an explanatory variable for each analysis. Regression coefficients were denoted ${\hat{\beta }_{\rm SR}}$, ${\hat{\beta }_{\rm G}}$, and ${\hat{\beta }_{\rm DLW}}$, respectively. Using the jackknife method, bias from ${\hat{\beta }_{\rm SR}}$ compared with ${\hat{\beta }_{\rm DLW}}$ and remaining bias from ${\hat{\beta }_{\rm G}}$ compared with ${\hat{\beta }_{\rm DLW}}$ were estimated. Analyses were repeated using Pearson correlation coefficients.

RESULTS

The analyses from CALERIE, IDATA, and NDNS included 218, 349, and 317 individuals, respectively. Using EIG significantly decreased the bias only for a subset of those variables with significant bias: weight (56.1%; 95% CI: 28.5%, 83.7%) and waist circumference (WC) (59.8%; 95% CI: 33.2%, 86.5%) with CALERIE, weight (20.8%; 95% CI: -6.4%, 48.1%) and WC (17.3%; 95% CI: -20.8%, 55.4%) with IDATA, and WC (-9.5%; 95% CI: -72.2%, 53.1%) with NDNS. Furthermore, bias significantly remained even after excluding implausible data for various outcomes. Results obtained with Pearson correlation coefficient analyses were qualitatively consistent.

CONCLUSIONS

Some associations between EIG and outcomes remained biased compared with associations between EIDLW and outcomes. Use of the Goldberg cutoffs was not a reliable method for eliminating bias.

Estimated Substitution of Tea or Coffee for Sugar-Sweetened Beverages Was Associated with Lower Type 2 Diabetes Incidence in Case-Cohort Analysis across 8 European Countries in the EPIC-InterAct Study

INTRODUCTION

Beverage consumption is a modifiable risk factor for type 2 diabetes (T2D), but there is insufficient evidence to inform the suitability of substituting 1 type of beverage for another.

OBJECTIVE

The aim of this study was to estimate the risk of T2D when consumption of sugar-sweetened beverages (SSBs) was replaced with consumption of fruit juice, milk, coffee, or tea.

METHODS

In the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct case-cohort study of 8 European countries (n = 27,662, with 12,333 cases of incident T2D, 1992-2007), beverage consumption was estimated at baseline by dietary questionnaires. Using Prentice-weighted Cox regression adjusting for other beverages and potential confounders, we estimated associations of substituting 1 type of beverage for another on incident T2D.

RESULTS

Mean ± SD of estimated consumption of SSB was 55 ± 105 g/d. Means ± SDs for the other beverages were as follows: fruit juice, 59 ± 101 g/d; milk, 209 ± 203 g/d; coffee, 381 ± 372 g/d; and tea, 152 ± 282 g/d. Substituting coffee for SSBs by 250 g/d was associated with a 21% lower incidence of T2D (95% CI: 12%, 29%). The rate difference was -12.0 (95% CI: -20.0, -5.0) per 10,000 person-years among adults consuming SSBs ≥250 g/d (absolute rate = 48.3/10,000). Substituting tea for SSBs was estimated to lower T2D incidence by 22% (95% CI: 15%, 28%) or -11.0 (95% CI: -20.0, -2.6) per 10,000 person-years, whereas substituting fruit juice or milk was estimated not to alter T2D risk significantly.

CONCLUSIONS

These findings indicate a potential benefit of substituting coffee or tea for SSBs for the primary prevention of T2D and may help formulate public health recommendations on beverage consumption in different populations.

Dietary patterns associated with obesity and overweight: When should misreporters be included in analysis?

OBJECTIVE

The aim of the study was to identify dietary patterns associated with overweight and obesity and to examine the effect of including and excluding misreporters on the analysis of these dietary patterns and on the associations between identified dietary patterns and anthropometric parameters.

METHODS

The study was carried out with adult participants in an observational case-control manner. The participants' diet was assessed using 3-d dietary records. To identify misreporters, the Goldberg and Black cutoff method was used. Dietary patterns were evaluated using factor analysis and dietary indices.

RESULTS

Among 410 participants, 100 were underreporters and 1 was an overreporter. The nutritional value of the diets and the relative intake of several groups of food products differed between those with normal and increased body weight. Excluding misreporters affected the differences between body weight groups in energy; dietary fiber; empty calories; cholesterol; sodium; magnesium; folate; vitamins C, PP, and A; groats; vegetables; coffee; and water intake. The Western diet (WD) factor correlated positively with the waist circumference and the amount of fat tissue, whereas the healthy diet (HD) factor correlated negatively with body weight, waist circumference, and the fat tissue amount. The coefficients of the correlation between the HD factor and the anthropometric parameters were stronger when misreporters were excluded, whereas those between the WD factor and the parameters did not change much after exclusion of misreporters.

CONCLUSIONS

There is a positive relationship between the WD pattern and obesity. The exclusion of misreporters from the data set may positively affect the association between the HD pattern and anthropometric parameters.

Associations between Food Consumption Patterns and Chronic Diseases and Self-Reported Morbidities in 6 American Indian Communities

Background

American Indian (AI) have the highest rates of diet-related chronic diseases in the country. Yet, the relation between dietary patterns and chronic diseases in this population has not been well explored.

Objective

We aimed to characterize common dietary patterns among adults from 6 AI communities (N = 580) and assess their relation with BMI, percentage body fat, waist-to-hip ratio, hypertension, and self-reported type 2 diabetes and cardiovascular disease.

Methods

We conducted a baseline assessment of an obesity prevention study (N = 580). Dietary intake data were collected using a modified Block FFQ. Exploratory factor analysis was used to characterize dietary patterns. We used multivariate linear and logistic regression analyses to assess associations between dietary patterns and health outcomes, controlling for age, sex, employment status, smoking status, geographic region, and energy intake.

Results

Five dietary patterns, explaining 81.8% of variance in reported food consumption, were identified: “meat and fried foods,” “processed foods,” “fruits and vegetables,” “sugary snacks,” and “meat alternatives and high-protein foods.” “Those with higher consumption of “meat and fried foods” were associated with higher mean waist-to-hip ratio (0.03; 95% CI: 0.01, 0.04), higher mean BMI (2.45 kg/m2; 95% CI: 0.83, 4.07), and increased odds of being overweight or obese (OR: 2.63; 95% CI: 1.10, 6.31) compared to those with lower consumption of “meat and fried foods.” Higher consumption of “processed foods” was associated with increased odds of self-reported type 2 diabetes (OR: 3.41; 95% CI: 1.31, 8.90). No protective effect of consumption of “fruits and vegetables” was observed, although average consumption was below national recommendation levels.

Conclusions

AI dietary patterns corroborate nutritional concerns previously reported among AI populations. Future interventions should discourage overconsumption of meat, fried foods, and processed foods, and promote consumption of fruits and vegetables to reduce chronic disease burden in this population.

Prevalence and characteristics of energy intake under-reporting among Australian adults in 1995 and 2011 to 2012

AIM

Misreporting of energy intake is a common source of measurement error found in dietary surveys, resulting in biased estimates and a reduction in statistical power. The present study aims to refine the conventional cut-off methods and to examine the extent to which Australian adults misreport their energy intake, and the characteristics of under-reporters between two time points.

METHODS

A revised Goldberg cut-off approach was used to identify those who reported implausible intake amounts in a secondary analysis of two large cross-sectional surveys. Identified low energy reporters were then used as the outcome variable in Poisson regressions to examine association with sex, age, body mass index (BMI), weight perceptions, education, relative household income, geographic remoteness and relative socioeconomic disadvantage.

RESULTS

The prevalence of under-reporting increased from 32% in 1995 to 41% in 2012, most of which can be attributed to an increase in men. Under-reporting has a positive association with BMI and relative socioeconomic disadvantage, but an inverse association with age, education, relative household income and residence in inner regional areas.

CONCLUSIONS

Under-reporting of energy intake is high in Australian adults, and appears have worsened over time in men, which could be partly explained by the upward trend in obesity. The use of conventional Goldberg method to identify under-reporters can greatly underestimate the prevalence of under-reporting, future studies should consider selecting a lower critical value to improve accuracy.

Defining Adherence to Mobile Dietary Self-Monitoring and Assessing Tracking Over Time: Tracking at Least Two Eating Occasions per Day Is Best Marker of Adherence within Two Different Mobile Health Randomized Weight Loss Interventions

BACKGROUND

Mobile dietary self-monitoring methods allow for objective assessment of adherence to self-monitoring; however, the best way to define self-monitoring adherence is not known.

OBJECTIVE

The objective was to identify the best criteria for defining adherence to dietary self-monitoring with mobile devices when predicting weight loss.

DESIGN

This was a secondary data analysis from two 6-month randomized trials: Dietary Intervention to Enhance Tracking with Mobile Devices (n=42 calorie tracking app or n=39 wearable Bite Counter device) and Self-Monitoring Assessment in Real Time (n=20 kcal tracking app or n=23 photo meal app).

PARTICIPANTS/SETTING

Adults (n=124; mean body mass index=34.7±5.6) participated in one of two remotely delivered weight-loss interventions at a southeastern university between 2015 and 2017.

INTERVENTION

All participants received the same behavioral weight loss information via twice-weekly podcasts. Participants were randomly assigned to a specific diet tracking method.

MAIN OUTCOME MEASURES

Seven methods of tracking adherence to self-monitoring (eg, number of days tracked, and number of eating occasions tracked) were examined, as was weight loss at 6 months.

STATISTICAL ANALYSES PERFORMED

Linear regression models estimated the strength of association (R²) between each method of tracking adherence and weight loss, adjusting for age and sex.

RESULTS

Among all study completers combined (N=91), adherence defined as the overall number of days participants tracked at least two eating occasions explained the most variance in weight loss at 6 months (R²=0.27; P<0.001). Self-monitoring declined over time; all examined adherence methods had fewer than half the sample still tracking after Week 10.

CONCLUSIONS

Using the total number of days at least two eating occasions are tracked using a mobile self-monitoring method may be the best way to assess self-monitoring adherence during weight loss interventions. This study shows that self-monitoring rates decline quickly and elucidates potential times for early interventions to stop the reductions in self-monitoring.

Gender inequalities in diet quality and their socioeconomic patterning in a nutrition transition context in the Middle East and North Africa: a cross-sectional study in Tunisia

Background

In a context of nutrition transition and major shifts in lifestyle and diet, the Middle East and North Africa features a marked gender excess adiposity gap detrimental to women. In this setting, where gender issues are especially acute, we investigated gender differences in dietary intake with a focus on diet quality, and how the differences varied with the area of residence and socio-demographic characteristics.

Methods

The study was conducted in 2009–2010 in the Greater Tunis region (Tunisia), as a case study of an advanced nutrition transition context in the region. A cross-sectional survey used a random, stratified, clustered sample of households: 1689 women and 930 men aged 20–49 years were analyzed. Dietary intake was assessed using a 3-day food record. Nutrient content was derived from a specific Tunisian food composition database. We analysed the Diet Quality Index-International (DQI-I) and sub-scores (variety, adequacy, moderation and balance). A score of DQI-I > 60 defined good diet quality. Inequality measures were women vs. men differences in means for interval variables and odds-ratios (OR) for DQI-I > 60. Their variation with socio-demographic characteristics was estimated using models featuring gender x covariate interactions.

Results

Mean energy intake/day was 2300 ± 15 kcal for women vs. 2859 ± 32 kcal for men. By 1000 g/kcal/d women consumed more fruits and sweets but less red meat and soft drinks than men. Women had a higher mean moderation sub-score than men (+ 1.8[1.4, 2.2], P < 0.0001) but lower variety (− 2.0[− 2.3, − 1.6], P < 0.0001) and adequacy (− 1.8[− 2.0, − 1.5], P < 0.0001). Thus, the overall mean DQI-I was lower among women than men (58.6 ± 0.3 vs. 60.4 ± 0.3, − 1.8[− 2.6, − 1.0], P < 0.0001) as was the proportion of DQI-I > 60 (45.2% vs. 55.7%, OR = 0.7[0.5, 0.8], P < 0.0001). Adjusted gender differences in DQI-I decreased with age but were higher in larger households and extreme categories of education (no-schooling and university) vs. the middle categories.

Conclusion

In this nutrition transition context with only average diet quality, it was somewhat lower for women. Socioeconomic patterning of gender contrasts was mild. Beyond, that women had lower adequacy and variety scores but better moderation is a possible pathway for gender specific prevention messages.

Electronic supplementary material

The online version of this article (10.1186/s12937-019-0442-6) contains supplementary material, which is available to authorized users.

Sociodemographic, Lifestyle, Environmental and Pregnancy-Related Determinants of Dietary Patterns during Pregnancy

Background: Characterization of dietary patterns represents a valid and meaningful measure of overall diet quality and nutrient intake. The study aims at evaluating the sociodemographic, lifestyle, environmental, and pregnancy-related determinants of maternal dietary patterns during pregnancy. Methods: The analysis was conducted on a group of pregnant women from the Polish Mother and Child Cohort (REPRO_PL). During the second trimester of pregnancy, 1306 women filled in a modified version of the validated food frequency questionnaire (FFQ). Dietary patterns were estimated using an exploratory factor analysis. Potential dietary determinants were assessed via a questionnaire or biomarker measurements (saliva cotinine level). Results: Two dietary patterns were identified. The Prudent dietary pattern was characterized by high consumption of fruit, vegetables, legumes, whole grains, poultry, and low-fat dairy products, while the Western dietary pattern included high intake of refined grains, processed meat, potatoes, and very low intake of whole grains. Clear sociodemographic, environmental, lifestyle, and pregnancy-related determinants of diet quality were established. Older age (β = 0.2; p < 0.01), higher educational level (β = 0.3; p < 0.01), and socioeconomic status (SES) (β = 0.2; p < 0.01), overweight/obesity before (β = 0.3; p < 0.01), as well as physical activity during pregnancy (β = 0.2; p = 0.01) were positive determinants of a healthier diet (increasing Prudent–Western difference in dietary pattern scores). On the other hand, parity (β = −0.2; p = 0.04) and living in small cities (β = −0.3; p = 0.02) were significantly related to a rather Western dietary pattern. Conclusions: The current study presents evidence on specific factors influencing dietary patterns. They need to be accounted for in educational programs and interventions focused on healthy diet recommendations during pregnancy.

Obesity leads to distinct metabolomic signatures in follicular fluid of women undergoing in vitro fertilization

Although obesity negatively influences the metabolic homeostasis of cells within a broad range of tissues, its impact on oocyte metabolism is not fully understood. Prior evidence suggests that obesity increases expression of oocyte genes associated with inflammation, oxidative stress, and lipid metabolism; however, the metabolic impact of these genetic differences is not known. To address this gap, we conducted an exploratory assessment of the follicular fluid (FF) metabolome in eight overweight/obese (OW) and nine normal-weight (NW) women undergoing in vitro fertilization. FF and serum were collected and analyzed by untargeted metabolomics using gas chromatography-quadrupole time-of-flight mass spectrometry and charged-surface hybrid column-electrospray ionization quadrupole time-of-flight tandem mass spectrometry. Untargeted metabolomics identified obesity-associated changes in FF metabolites related to oxidative stress/antioxidant capacity, xenometabolism/amino acid biosynthesis, and lipid metabolism. Discriminant FF metabolites included elevated uric acid, isothreonic acid, one unknown primary metabolite, and six unknown complex lipids in OW compared with NW women. Conversely, 2-ketoglucose dimethylacetal, aminomalonate, two unknown primary metabolites, and two unknown complex lipids were decreased in FF of OW relative to NW women. Indole-3-propionic acid (IPA), a bacteria-derived metabolite, was also decreased in both FF and serum of OW women ( P < 0.05). The significant correlation between antioxidant IPA in serum and FF ( R = 0.95, P < 0.0001) suggests a potential serum biomarker of FF antioxidant status or reflection of the gut metabolism interaction with the follicle. These results suggest that obesity has important consequences for the follicular environment during the preconception period, a window of time that may be important for lifestyle interventions to ameliorate obesity-associated risk factors.

Development and relative validation of a short food frequency questionnaire for assessing dietary intakes of non-alcoholic fatty liver disease patients

Purpose

This work aimed to design and validate a novel short food frequency questionnaire (SFFQ) to assess habitual intakes of food items related to non-alcoholic fatty liver disease (NAFLD) in a cohort of European patients.

Methods

A 48-item SFFQ was created, with questions from existing FFQs and expert knowledge, emphasizing foods and nutrients implicated in NAFLD pathogenesis. Consenting, fibroscan-diagnosed, NAFLD patients completed the SFFQ during a short interview and were asked to complete a 4-day diet diary (4DDD) at home for return by mail. Nutritional intakes were assessed utilizing the myfood24™ food composition dataset and estimated energy requirements (EER) were calculated using sex-, age- and weight-specific equations. Agreement between the dietary instruments was assessed by Spearman correlations and Bland Altman analysis.

Results

Fifty-five patients completed both the SFFQ and the 4DDD within 30 weeks; 42 (76%) were diagnosed with simple steatosis, whereas 13 (24%) had biopsy-proven steatohepatitis; the majority were overweight or obese, with a median (25th; 75th percentile) BMI of 33.2 kg/m² (29.3; 36.0). Reported energy intakes were well below EER with a median intake of 73% of requirements, suggesting widespread under-reporting. Significant correlations were observed between sugar (r = 0.408, P = 0.002), fat (r = 0.44, P = 0.001), fruits (r = 0.51, P = 0.0001) and vegetables (r = 0.40, P = 0.0024) measurements by the SFFQ and 4DDD. Bland Altman plots with regression analysis demonstrated broad comparability with the 4DDD for intakes of fat (bias − 13.8 g/day) and sugar (bias  + 12.9 g/day).

Conclusions

A novel SFFQ designed to be minimally burdensome to participants was effective at assessing dietary intakes in NAFLD patients.

Electronic supplementary material

The online version of this article (10.1007/s00394-019-01926-5) contains supplementary material, which is available to authorized users.