A comparison of self-reported energy intake with total energy expenditure estimated by accelerometer and basal metabolic rate in African-American women with type 2 diabetes

Energy-Adjusted Dietary Inflammatory Index Is Associated With 5-Year All Cause and Cardiovascular Mortality Among Chronic Kidney Disease Patients

Background

Diet management is a pivotal intervention for chronic kidney disease (CKD) patients. Dietary inflammation index (DII) is developed to evaluate the integral inflammatory potential of a diet pattern. However, research about the association between DII and mortality in CKD is limited.

Objective

We conducted a cohort study to investigate the relationship between energy-adjusted DII (E-DII) and the 5-year all-cause and cardiovascular mortality in CKD population.

Materials and Methods

CKD participants with complete E-DII data and death status from National Health and Nutrition Examination Survey (1999–2014) were involved in this study. E-DII was calculated based on dietary recall interviews. Smooth curve fitting, Kaplan–Meier survival analysis, and Cox proportional hazards models were used to evaluate the association between E-DII and the 5-year all cause and cardiovascular mortality. Subgroup analysis was also performed.

Results

A total of 7,207 participants were included (55.46% elderly and 46.54% male) in this study. The 5-year all-cause and cardiovascular mortality were 16.86 and 4.32%, respectively. Smooth curve fitting showed a “J” shape and near linear relationship between the E-DII score and the 5-year all-cause and cardiovascular mortality, respectively. In multivariate Cox proportional hazards models, the hazard ratios (95% confidence intervals [CI]) for the highest tertile of the E-DII were 1.33 (1.15, 1.54) for all-cause mortality, and 1.54 (1.15, 2.07) for cardiovascular mortality when compared with the lowest tertile of the E-DII. The subgroup analyses revealed relatively stronger associations between the E-DII and the mortality among CKD patients with other death risk factors.

Conclusions

Energy-adjusted dietary inflammatory index is independently related with the 5-year all-cause and cardiovascular mortality among CKD patients. Therefore, anti-inflammatory diet patterns should be recommended for CKD patients.

Comparison of the Diet Photograph Record to Weighed Dietary Record and 24 h Dietary Recall for Estimating Energy and Nutrient Intakes Among Chinese Preschoolers

This study aimed to assess the relative validity of the diet photograph record (DP) for measuring the energy and nutrient intakes against the weighed dietary record (WD) and the 24 h dietary recall (HR) in the Chinese preschoolers. In this study, 40 preschool children aged 4–6 years and their parents were recruited from a kindergarten in southwest China. Dietary intake of the preschoolers on a same day, as estimated by the DP and the HR were compared with the WD. These three methods were administered by the three group of investigators independently. The mean differences, correlation coefficients, cross-classifications, and weighted κ, as well as the Bland–Altman plots were performed to assess the differences and agreements among the estimates from the DP, the HR, and the WD. For the DP and the HR, the estimates of energy and nutrient intakes were moderate to high correlated with the WD, with the higher coefficients ranging from 0.73 to 0.94 for the DP. Both the methods tended to underestimate the dietary intake, but the differences from the known weights using the DP were significantly smaller than those using the HR. The weighed κ values ranking the preschoolers ranged from 0.48 to 0.80 for the DP and ranged from 0.28 to 0.64 for the HR. Furthermore, the Bland–Altman plots indicated a better agreement between the DP and the WD for estimating energy and nutrient intakes. This DP is a valid tool for measuring energy and nutrient intakes among the preschoolers.

Predictors of on-task Behaviors: Evaluating Student-level Characteristics

Objective

In this study, we examined students' fitness, body mass index (BMI), and demographics as predictors of observed time on-task (TOT) behaviors as an indicator of behavioral inattention.

Methods

We collected demographics, fitness estimates, and BMI from 2020 fourth-graders (Mean age = 8.6 (SD = 0.5); 47% girls; 49% white) from 28 schools. We measured TOT through momentary time sampling observations. Three-level linear models were conducted to determine whether characteristics predicted differences in TOT. We tested interactions between characteristics and TOT.

Results

Older students exhibited greater percent of TOT (estimate = 2.34, SE = 1.02, df = 919, t = 2.30, p < .05). Additionally, boys spent less percent TOT (estimate = -3.59, SE = 1.03, df = 906, t = -3.49, p < .05). There were no differences by race/ethnicity, SES, BMI, fitness, or time of day and percent TOT. Furthermore, none of the interactions were statistically significant (p > .15).

Conclusions

Girls and older students spent more TOT. These findings are of interest to educators and psychologists working on the development of research-based guidelines aimed to support elementary students' engagement in the classroom.

Associations of changes in reported and estimated protein and energy intake with changes in insulin resistance, glycated hemoglobin, and BMI during the PREVIEW lifestyle intervention study

BACKGROUND

Observed associations of high-protein diets with changes in insulin resistance are inconclusive.

OBJECTIVES

We aimed to assess associations of changes in both reported and estimated protein (PRep; PEst) and energy intake (EIRep; EIEst) with changes in HOMA-IR, glycated hemoglobin (HbA1c), and BMI (in kg/m2), in 1822 decreasing to 833 adults (week 156) with overweight and prediabetes, during the 3-y PREVIEW (PREVention of diabetes through lifestyle intervention and population studies In Europe and around the World) study on weight-loss maintenance. Eating behavior and measurement errors (MEs) of dietary intake were assessed. Thus, observational post hoc analyses were applied.

METHODS

Associations of changes in EIEst, EIRep, PEst, and PRep with changes in HOMA-IR, HbA1c, and BMI were determined by linear mixed-model analysis in 2 arms [high-protein-low-glycemic-index (GI) diet and moderate-protein-moderate-GI diet] of the PREVIEW study. EIEst was derived from energy requirement: total energy expenditure = basal metabolic rate × physical activity level; PEst from urinary nitrogen, and urea. MEs were calculated as [(EIEst - EIRep)/EIEst] × 100% and [(PRep - PEst)/PEst] × 100%. Eating behavior was determined using the Three Factor Eating Questionnaire, examining cognitive dietary restraint, disinhibition, and hunger.

RESULTS

Increases in PEst and PRep and decreases in EIEst and EIRep were associated with decreases in BMI, but not independently with decreases in HOMA-IR. Increases in PEst and PRep were associated with decreases in HbA1c. PRep and EIRep showed larger changes and stronger associations than PEst and EIEst. Mean ± SD MEs of EIRep and PRep were 38% ± 9% and 14% ± 4%, respectively; ME changes in EIRep and En% PRep were positively associated with changes in BMI and cognitive dietary restraint and inversely with disinhibition and hunger.

CONCLUSIONS

During weight-loss maintenance in adults with prediabetes, increase in protein intake and decrease in energy intake were not associated with decrease in HOMA-IR beyond associations with decrease in BMI. Increases in PEst and PRep were associated with decrease in HbA1c.This trial was registered at clinicaltrials.gov as NCT01777893.

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.

Under-reporting of the energy intake in patients with type 2 diabetes

BACKGROUND

In patients with type 2 diabetes mellitus (DM), an accurate assessment of food intake is essential for clinical nutritional management. Tools such as the food frequency questionnaire (FFQ) and 24-h food record (24HR) identify dietary habits in support of dietary planning. However, it is possible that these tools have reporting errors with respect to assessing food intake, particularly energy intake (EI).

METHODS

A cross-sectional study was conducted in patients with type 2 DM. EI was assessed by the FFQ and 24HR tools. Resting energy expenditure (REE) was measured by indirect calorimetry. Data were analysed using a kappa test, t-test and Spearman's correlation coefficients. Under-reporting was assessed using the EI/REE ratio. Patients with values <1.18 and <1.10 for FFQ and 24HR, respectively, were considered as under-reporting.

RESULTS

We evaluated 55 patients [mean (SD) 62.7 (5.3) years old, duration of diabetes 11.2 (7.3) years, 52.7% female]. The mean (SD) EI assessed by FFQ was 1797.7 (641.3) and as assessed by 24HR was 1624 (484.8) kcal day^-1 . The mean (SD) REE was 1641.3 (322.3) kcal day^-1 . The mean (SD) ratios FFQ/REE and 24HR/REE were 1.11 (0.38) and 1.01 (0.30), respectively. The tools showed a moderate agreement for under-reporting of EI (kappa = 0.404; P = 0.003). Moderate and positive correlations between REE were observed with FFQ (r = 0.321; P = 0.017) and 24HR (r = 0.364; P = 0.006). According to the tools, the under-reporting was observed in approximately 65% of patients.

CONCLUSIONS

The majority of patients with type 2 DM under-reported their calorie intake, as assessed by FFQ and 24HR. REE showed a positive correlation with both tools.

Dietary Intake Reporting Accuracy of the Bridge2U Mobile Application Food Log Compared to Control Meal and Dietary Recall Methods

Mobile technology introduces opportunity for new methods of dietary assessment. The purpose of this study was to compare the reporting accuracy of a mobile food log application and 24 h recall method to a controlled meal among a convenience sample of adults (18 years of age or older). Participants were recruited from a community/university convenience sample. Participants consumed a pre-portioned control meal, completed mobile food log entry (mfood log), and participated in a dietary recall administered by a registered dietitian (24R). Height, weight, and application use survey data were collected. Sign test, Pearson’s correlation, and descriptive analyses were conducted to examine differences in total and macronutrient energy intake and describe survey responses. Bland Altman plots were examined for agreement between energy intake from control and 24R and mfood log. The 14 included in the analyses were 78.6% female, 85.7% overweight/obese, and 64.3% African American. Mean total energy, protein, and fat intakes reported via the mfood log were significantly (p < 0.05) lower compared to the control, by 268.31kcals, 20.37 g, and 19.51 g, respectively. Only 24R mean fat intake was significantly (p < 0.01) lower than the control, by 6.43 g. Significant associations (r = 0.57–0.60, p < 0.05) were observed between control and mfood log mean energy, carbohydrate, and protein intakes, as well as between control and 24R mean energy (r = 0.64, p = 0.01) and carbohydrate (r = 0.81, p < 0.001) intakes. Bland Altman plots showed wide limits of agreement, which were not statistically significant but may have practical limitations for individual dietary assessment. Responses indicated the ease of and likelihood of daily mfood log use. This study demonstrates that the Bridge2U mfood log is valid for the assessment of group level data, but data may vary too widely for individual assessment. Further investigation is warranted for nutrition intervention research.

Racial Differences in Weight Loss Mediated by Engagement and Behavior Change

Objective

We set out to determine if a primarily Internet-delivered behavioral weight loss intervention produced differential weight loss in African American and non-Hispanic White women, and to identify possible mediators.

Design

Data for this analysis were from a randomized controlled trial, collected at baseline and 4-months.

Setting

The intervention included monthly face-to-face group sessions and an Internet component that participants were recommended to use at least once weekly.

Participants

We included overweight or obese African American and non-Hispanic White women (n=170), with at least weekly Internet access, who were able to attend group sessions.

Intervention

Monthly face-to-face group sessions were delivered in large or small groups. The Internet component included automated tailored feedback, self-monitoring tools, written lessons, video resources, problem solving, exercise action planning tools, and social support through message boards.

Main Outcome Measure

Multiple linear regression was used to evaluate race group differences in weight change.

Results

Non-Hispanic White women lost more weight than African American women (-5.03% vs.-2.39%, P=.0002). Greater website log-ins and higher change in Eating Behavior Inventory score in non-Hispanic White women partially mediated the race-weight loss relationship.

Conclusions

The weight loss disparity may be addressed through improved website engagement and adoption of weight control behaviors.

The impact of acute bouts of interval and continuous walking on energy-intake and appetite regulation in subjects with type 2 diabetes

In healthy subjects, it has been suggested that exercise may acutely suppress energy‐intake and appetite, with peak intensity being an important determinant for this effect. In subjects with type 2 diabetes (T2D), the effect of exercise on appetite‐related variables is, however, virtually unknown. We aimed to assess the effects of two exercise interventions, differing with regards to peak intensity, on energy‐intake, satiety and appetite‐related hormones in subjects with T2D. Thirteen subjects with T2D completed three 60‐min interventions with continuous measurement of oxygen consumption in a randomized and counterbalanced order: (1) Control, (2) Continuous walking (CW; intended 73% of VO₂peak), (3) Interval‐walking (IW; repeated cycles of 3 min slow [54% of VO₂peak] and 3 min fast walking [89% of VO₂peak]). Forty‐five minutes after completion of the intervention, a 3‐h liquid mixed meal tolerance test (MMTT, 450 kcal) with regular satiety assessments and blood samples for appetite‐related hormones commenced. An ad libitum meal was served after the MMTT, with subsequent calculation of energy‐intake. Moreover, free‐living diet records were completed for the following ~32 h. Exercise interventions were well‐matched for mean oxygen consumption (CW = 77 ± 2% of VO₂peak; IW = 76 ± 1% of VO₂peak, P > 0.05). No differences in appetite‐related hormones or energy‐intake were found (P > 0.05 for all comparisons). IW increased fullness compared to Control shortly after the intervention (P < 0.05) and tended to reduce hunger 2 h into the MMTT compared to CW and Control (P < 0.10). In conclusion, a single exercise session does not affect energy‐intake during the following ~4–36 h in subjects with T2D. However, satiety may be affected up to ~3 h after the exercise session, dependent on peak intensity.

Socio-Demographic Determinants of Diet Quality in Australian Adults Using the Validated Healthy Eating Index for Australian Adults (HEIFA-2013)

Diet quality indices have been shown to predict cardiovascular disease, cancer, Type 2 Diabetes, obesity and all-cause mortality. This study aimed to determine the socio-demographics of Australian adults with poor diet quality. Diet quality was assessed for participants of the 2011-2012 National Nutrition and Physical Activity Survey aged 18 years or above (n = 9435), with the validated 11-component Healthy Eating Index for Australians (HEIFA-2013), based on the 2013 Australian Dietary Guidelines. Differences in scores by demographics (ANOVA) and regression models for associations between the HEIFA-2013 score and demographic characteristics were conducted. The mean (SD) HEIFA-2013 score was 45.5 (14.7) out of 100 due to poor intakes of vegetables, fruit, grains, dairy and fat and high intakes of added sugar, sodium and discretionary foods. Lower mean HEIFA-2013 scores (SD) were found for males 43.3 (14.7), young-adults 41.6 (14.2) obese 44.1 (14.3), smokers 40.0 (14.2), low socio-economic status 43.7 (14.9) and Australian country-of-birth 44.2 (14.6) (p < 0.05). The overall diet quality of the Australian population is poor and targeted interventions for young-adults, males, obese and those with lower socio-economic status are recommended.

Dietary intake in adults with type 1 and type 2 diabetes: validation of the Dietary Questionnaire for Epidemiological Studies version 2 FFQ against a 3-d weighed food record and 24-h urinalysis

The Dietary Questionnaire for Epidemiological Studies version 2 (DQES v2) FFQ has not been validated in adults with diabetes. The aim was to determine the agreement between the DQES v2 FFQ and a 3-d weighed food record (WFR) and 24-h urinalysis in adults with type 1 and type 2 diabetes. The DQES v2 FFQ and a 3-d WFR were completed on one occasion for measurement of food and nutrient intake. A 24-h urine sample was provided for measurement of Na and K excretion. Participants were sixty-seven adults with type 1 and type 2 diabetes recruited from the community. Nutrient intake reported in the FFQ was within 20 % of the corresponding intake level reported in the WFR for the majority of nutrients. However, the 95 % limits of agreement showed large variation at an individual level between the two methods. There was a weak to moderate correlation between nutrient intake measured using the two methods and a moderate to high correlation for food intake. Quintile analysis showed that for the majority of foods and nutrients >60 % of participants were ranked within 1 quintile of the WFR ranking. The weighted κ values showed slight to moderate agreement between the two methods. Na intake was under-estimated in the FFQ by 25 % and K intake was over-estimated by 5 % compared with the 24-h urinalysis. In adults with type 1 and type 2 diabetes, it is appropriate to use the DQES v2 FFQ to measure food and nutrient intake at a group level.

Energy balance measurement: when something is not better than nothing

Energy intake (EI) and physical activity energy expenditure (PAEE) are key modifiable determinants of energy balance, traditionally assessed by self-report despite its repeated demonstration of considerable inaccuracies. We argue here that it is time to move from the common view that self-reports of EI and PAEE are imperfect, but nevertheless deserving of use, to a view commensurate with the evidence that self-reports of EI and PAEE are so poor that they are wholly unacceptable for scientific research on EI and PAEE. While new strategies for objectively determining energy balance are in their infancy, it is unacceptable to use decidedly inaccurate instruments, which may misguide health-care policies, future research and clinical judgment. The scientific and medical communities should discontinue reliance on self-reported EI and PAEE. Researchers and sponsors should develop objective measures of energy balance.

The relationship between interviewer-respondent race match and reporting of energy intake using food frequency questionnaires in the rural South United States

Objective

The purpose of the observational study was to determine whether interviewer race influences food frequency questionnaire (FFQ) reporting accuracy in a Deep South, largely African American cohort.

Methods

A secondary analysis was conducted to investigate the influence of interviewer race on energy reporting of 319 African Americans who participated in the Mississippi Communities for Healthy Living intervention in May–June 2011, a community-based and USDA-funded project. Reported energy intake was compared to total energy expenditure to identify normal (ENR), under-(EUR) and over-reporters (EOR). Multivariate logistic regression models determined the relationship between race match and energy misreporting, accounting for confounding variables (educational level, health status perception, BMI, gender, and age) identified using chi-square/correlation analyses.

Results

The sample included 278 African Americans with 165 EURs, 26 EORs, and 87 ENRs identified. Logistic regression analyses revealed that there was no relationship between race-matched participants and EUR or EOR; controlling factors, BMI and perceived health status were significant in the model.

Conclusion

This study is the first to our knowledge to examine whether race influences dietary intake reporting which may influence assessment data used for comparison with health outcomes. This may have important implications for research conducted in health disparate populations, particularly rural, Southern populations.

•

We identify prevalence of misreporting of energy intake in an African American population.

•

We examine interviewer–respondent race match influence on energy reporting accuracy.

•

Energy underreporting was more predominant than overreporting.

•

Interviewer–respondent race match did not influence energy reporting.

Comparison of methods to account for implausible reporting of energy intake in epidemiologic studies

In a recent article in the American Journal of Epidemiology by Mendez et al. (Am J Epidemiol. 2011;173(4):448-458), the use of alternative approaches to the exclusion of implausible energy intakes led to significantly different cross-sectional associations between diet and body mass index (BMI), whereas the use of a simpler recommended criteria (<500 and >3,500 kcal/day) yielded no meaningful change. However, these findings might have been due to exclusions made based on weight, a primary determinant of BMI. Using data from 52,110 women in the Nurses' Health Study (1990), we reproduced the cross-sectional findings of Mendez et al. and compared the results from the recommended method with those from 2 weight-dependent alternative methods (the Goldberg method and predicted total energy expenditure method). The same 3 exclusion criteria were then used to examine dietary variables prospectively in relation to change in BMI, which is not a direct function of attained weight. We found similar associations using the 3 methods. In a separate cross-sectional analysis using biomarkers of dietary factors, we found similar correlations for intakes of fatty acids (n = 439) and carotenoids and retinol (n = 1,293) using the 3 methods for exclusions. These results do not support the general conclusion that use of exclusion criteria based on the alternative methods might confer an advantage over the recommended exclusion method.

Correlations among obesity-associated gene polymorphisms, body composition, and physical activity in patients with type 2 diabetes mellitus

CONTEXT

Various studies have focused on the correlation between β2-adrenergic receptor (β2AR), the β3-adrenergic receptor (β3AR), and the uncoupling protein 1 (UCP1) polymorphisms and obesity in patients with type 2 diabetes mellitus (T2DM).

AIMS

We examined the correlation between these polymorphisms and body composition variables and between body composition and lifestyle variables in Japanese T2DM patients.

MATERIALS AND METHODS

Of the 48, T2DM outpatients in Kanagawa prefecture recruited for participation, 32 (6 men and 26 women) met the study criteria and were enrolled. Obesity-related gene polymorphisms were identified in 3 genes β3AR, UCP1, and β2AR using the SMart amplification process. Body composition variables were measured using a body composition analyzer. Data regarding food and nutrient consumption, family history, and lifestyle factors were collected via administration of questionnaires.

RESULTS

Because significant differences in body composition variables were found between men and women, statistical analysis was performed with data from the 25 female subjects only. On the basis of results of genetic testing, the subjects were divided into genotype groups for two-group and three-group comparison. The β3AR, UCP1, and β2AR polymorphisms and body composition significantly correlated with the percentage of subcutaneous fat in both arms as compared with the wild type or hetero groups with β3AR polymorphisms. However, physical activity correlated with several body composition variables.

CONCLUSIONS

These results suggest that obesity in T2DM patients is not the result of presence of an obesity-related gene polymorphism but rather the absence of daily physical activity.

Lifestyle factors associated with type 2 diabetes and use of different glucose-lowering drugs: cross-sectional study

Aims

To examine the lifestyle profile among persons with and without Type 2 diabetes mellitus (DM) and among users of different glucose-lowering drugs.

Methods

We used questionnaire data from a Danish health survey and identified presence of Type 2 DM and use of medications through medical databases. We calculated age- and gender-standardized prevalence ratios (PRs) of lifestyle factors according to Type 2 DM and different glucose-lowering drugs.

Results

Of 21,637 survey participants aged 25–79 years, 680 (3%) had Type 2 DM (median age 63 years) with a median diabetes duration of 5 years. Participants with Type 2 DM had a substantially higher prevalence of obesity (36% vs. 13%, PR: 3.1, 95% confidence interval (CI): 2.8–3.6), yet more reported to eat a very healthy diet (25% vs. 21%, PR: 1.2, 95% CI: 1.0–1.4) and to exercise regularly (67% vs. 53%, PR: 1.3, 95% CI: 1.2–1.4). Also, fewer were current smokers or had high alcohol intake. When compared with metformin users, obesity was substantially less prevalent in users of sulfonylurea (PR: 0.5, 95% CI: 0.4–0-8), and insulin and analogues (PR: 0.4, 95% CI: 0.3–0.7). Tobacco smoking was more prevalent in sulfonylurea users (PR: 1.4, 95% CI: 0.9–2.1) compared with metformin users. We found no material differences in physical exercise, diet or alcohol intake according to type of glucose-lowering drug.

Conclusions

Type 2 DM patients are substantially more obese than other individuals, but otherwise report to have a healthier lifestyle. Metformin use is strongly associated with obesity, whereas sulfonylurea use tends to be associated with tobacco smoking.

Methodological Issues in Cohort Studies That Relate Sodium Intake to Cardiovascular Disease Outcomes

Background—

The results of cohort studies relating sodium (Na) intake to blood pressure–related cardiovascular disease (CVD) are inconsistent. To understand whether methodological issues account for the inconsistency, we reviewed the quality of these studies.

Methods and Results—

We reviewed cohort studies that examined the association between Na and CVD. We then identified methodological issues with greatest potential to alter the direction of association (reverse causality, systematic error in Na assessment), some potential to alter the direction of association (residual confounding, inadequate follow-up), and the potential to yield false null results (random error in Na assessment, insufficient power). We included 26 studies with 31 independent analyses. Of these, 13 found direct associations between Na and CVD, 8 found inverse associations, 2 found J-shaped associations, and 8 found null associations only. On average there were 3 to 4 methodological issues per study. Issues with greater potential to alter the direction of association were present in all but 1 of the 26 studies (systematic error, 22; reverse causality, 16). Issues with lesser potential to alter the direction of association were present in 18 studies, whereas those with potential to yield false null results were present in 23.

Conclusions—

Methodological issues may account for the inconsistent findings in currently available observational studies relating Na to CVD. Until well-designed cohort studies in the general population are available, it remains appropriate to base Na guidelines on the robust body of evidence linking Na with elevated blood pressure and the few existing general population trials of the effects of Na reduction on CVD.

Diet in 45- to 74-year-old individuals with diagnosed diabetes: comparison to counterparts without diabetes in a nationally representative survey (Etude Nationale Nutrition Santé 2006-2007)

A healthy diet has been shown to prevent diabetes complications. However, the eating habits of individuals with diabetes who are aware of their glycemic condition have been poorly studied. This study's objective was to assess the dietary behavior overall and according to dietary recommendations in adults diagnosed with diabetes compared with those of a general population of the same age (45 to 74 years) in a nationally representative survey carried out in France in 2006-2007 (Etude Nationale Nutrition Santé) (n=1,476 including 101 patients with diabetes). Trained dietitians assessed diet using three 24-hour recalls and diabetes was self-declared. After weighting and using multiple adjustments, mean food and nutrient intakes were compared according to diabetes status. Interactions with age and sex were sought. Adults with diabetes had lower intakes of sweetened foods (40 g/day vs 125 g/day), alcohol (1.45 g/day vs 1.64 g/day), energy (1,790 kcal/day vs 1,986 kcal/day), and simple sugar (63.1 g/day vs 89.8 g/day) and higher intakes of meat (126 g/day vs 109 g/day), complex carbohydrates (26.3% energy intake vs 23.6% energy intake), and vitamins B and E (628 μg/day vs 541 μg/day). In addition, 45- to 59-year-old individuals with diabetes ate more fruits and vegetables, fiber, beta carotene, folate, vitamin C, and potassium than adults of the same age who did not have diabetes. Overall, 45- to 74-year-old adults with diabetes had a higher-quality diet than individuals without diabetes. However, compared with recommendations, a healthy diet continues to represent a public health challenge in terms of preventing diabetes complications.

Dietary quality in a sample of adults with type 2 diabetes mellitus in Ireland; a cross-sectional case control study

Background

A number of dietary quality indices (DQIs) have been developed to assess the quality of dietary intake. Analysis of the intake of individual nutrients does not reflect the complexity of dietary behaviours and their association with health and disease. The aim of this study was to determine the dietary quality of individuals with type 2 diabetes mellitus (T2DM) using a variety of validated DQIs.

Methods

In this cross-sectional analysis of 111 Caucasian adults, 65 cases with T2DM were recruited from the Diabetes Day Care Services of St. Columcille’s and St. Vincent’s Hospitals, Dublin, Ireland. Forty-six controls did not have T2DM and were recruited from the general population. Data from 3-day estimated diet diaries were used to calculate 4 DQIs.

Results

Participants with T2DM had a significantly lower score for consumption of a Mediterranean dietary pattern compared to the control group, measured using the Mediterranean Diet Score (Range 0–9) and the Alternate Mediterranean Diet Score (Range 0–9) (mean ± SD) (3.4 ± 1.3 vs 4.8 ± 1.8, P < 0.001 and 3.3 ± 1.5 vs 4.2 ± 1.8, P = 0.02 respectively). Participants with T2DM also had lower dietary quality than the control population as assessed by the Healthy Diet Indicator (Range 0–9) (T2DM; 2.6 ± 2.3, control; 3.3 ± 1.1, P = 0.001). No differences between the two groups were found when dietary quality was assessed using the Alternate Healthy Eating Index. Micronutrient intake was assessed using the Micronutrient Adequacy Score (Range 0–8) and participants with T2DM had a significantly lower score than the control group (T2DM; 1.6 ± 1.4, control; 2.3 ± 1.4, P = 0.009). When individual nutrient intakes were assessed, no significant differences were observed in macronutrient intake.

Conclusion

Overall, these findings demonstrate that T2DM was associated with a lower score when dietary quality was assessed using a number of validated indices.

Development and evaluation of a brief questionnaire to assess dietary fat quality in low-income overweight women in the southern United States

OBJECTIVE

To develop a brief questionnaire to assess dietary fat quality, the Dietary Fat Quality Assessment (DFQA), for use in dietary counseling to reduce heart disease risk.

METHODS

A subsample of 120 underserved, midlife women enrolled in a randomized, controlled weight loss trial completed baseline and follow-up telephone surveys. Main outcome measures included dietary fat components (total fat, saturated fat, polyunsaturated fat, monounsaturated fat, omega-3 fatty acids, and cholesterol).

RESULTS

Assessments of major dietary fat components using the DFQA and a food frequency questionnaire were significantly correlated, with correlation coefficients of 0.54-0.66 (P < .001). Intra-class correlation coefficients to assess reliability ranged from 0.48 to 0.59 for each of the fat components studied.

CONCLUSIONS AND IMPLICATIONS

The DFQA provides a reasonable assessment of dietary fat quality associated with coronary heart disease risk and may prove useful as a brief assessment tool to guide dietary counseling given to reduce heart disease risk.

Assessment of postprandial glucose excursions throughout the day in newly diagnosed type 2 diabetes

BACKGROUND

A growing body of evidence suggests that postprandial glucose (PPG) is independently linked to multiple complications and that testing of PPG should be added to hemoglobin A1c (HbA1c) and fasting glucose measurements in the evaluation of glycemic control of type 2 diabetes patients. An ongoing debate is questioning how to assess PPG. This observational study looks further into this question in a cohort of newly diagnosed type 2 diabetes patients.

SUBJECTS AND METHODS

PPG characteristics and intra-/intersubject variations post-breakfast, -lunch, and -dinner, obtained from continuous glucose monitoring (CGM), were retrospectively analyzed in 86 newly diagnosed non-insulin-treated type 2 diabetes patients.

RESULTS

In total, 462 recorded meals were analyzed. The area under the curve 1-4 h postmeal was significantly larger after breakfast compared with both lunch and dinner (P<0.001). Time to peak was approximately 90 min and did not differ significantly between meals. However, the distribution of the blood glucose peaks was only normally distributed among breakfasts, and time to peak had a day-to-day correlation coefficient of 0.60, compared with a nonsignificant result for lunch and dinner. Breakfast PPG peaks were highly correlated to HbA1c (P<0.05, r=0.64) and had a day-to-day correlation coefficient of 0.86 compared with 0.44 for lunch and 0.74 for dinner.

CONCLUSIONS

Self-monitoring of blood PPG should be evaluated with care. From our data, monitoring of PPG patterns in newly diagnosed type 2 diabetes patients should preferably be obtained following breakfast for a more consistent assessment, reducing day-to-day variations.

Effect of varying accelerometry criteria on physical activity: the look ahead study

The importance of physical activity in weight management is widely documented. Although accelerometers offer an objective measure of activity that provide a valuable tool for intervention research, considerations for processing these data need further development.

OBJECTIVE

This study tests the effects of using different criteria for accelerometry data reduction.

DESIGN AND METHODS

Data were obtained from 2,240 overweight and obese individuals with type 2 diabetes mellitus (T2DM) from the Look AHEAD study, with 2,177 baseline accelerometer files used for analysis. Number, duration, and intensity of moderate (≥ 3 metabolic equivalents (METS)) and vigorous (≥ 6 METS) activity bouts were compared using various data reduction criteria. Daily wear time was identified as 1,440 min/day minus non-wear time. Comparisons of physical activity patterns for non-wear time (using either 20, 30, or 60 min of continuous zeros), minimal daily wear time (8, 10, and 12 h), number of days with available data (4, 5, and 6 days), weekdays vs. weekends, and 1- or 2-min time interruptions in an activity bout were performed.

RESULTS

In this mostly obese population with T2DM (BMI = 36.4 kg/m(2) ; mean age = 59.0 years), there were minimal differences in physical activity patterns using the different methods of data reduction. Altering criteria led to differences in the number of available data (sample size) meeting specific criteria.

CONCLUSIONS

Although our results are likely directly applicable only to obese individuals with T2DM, an understudied population with regards to physical activity, the systematic analysis for data reduction employed can be more generalizable and provide guidance in this area in the absence of standard procedures.

Contribution of modifiable risk factors to social inequalities in type 2 diabetes: prospective Whitehall II cohort study

OBJECTIVE

To assess the contribution of modifiable risk factors to social inequalities in the incidence of type 2 diabetes when these factors are measured at study baseline or repeatedly over follow-up and when long term exposure is accounted for.

DESIGN

Prospective cohort study with risk factors (health behaviours (smoking, alcohol consumption, diet, and physical activity), body mass index, and biological risk markers (systolic blood pressure, triglycerides and high density lipoprotein cholesterol)) measured four times and diabetes status assessed seven times between 1991-93 and 2007-09.

SETTING

Civil service departments in London (Whitehall II study).

PARTICIPANTS

7237 adults without diabetes (mean age 49.4 years; 2196 women).

MAIN OUTCOME MEASURES

Incidence of type 2 diabetes and contribution of risk factors to its association with socioeconomic status.

RESULTS

Over a mean follow-up of 14.2 years, 818 incident cases of diabetes were identified. Participants in the lowest occupational category had a 1.86-fold (hazard ratio 1.86, 95% confidence interval 1.48 to 2.32) greater risk of developing diabetes relative to those in the highest occupational category. Health behaviours and body mass index explained 33% (-1% to 78%) of this socioeconomic differential when risk factors were assessed at study baseline (attenuation of hazard ratio from 1.86 to 1.51), 36% (22% to 66%) when they were assessed repeatedly over the follow-up (attenuated hazard ratio 1.48), and 45% (28% to 75%) when long term exposure over the follow-up was accounted for (attenuated hazard ratio 1.41). With additional adjustment for biological risk markers, a total of 53% (29% to 88%) of the socioeconomic differential was explained (attenuated hazard ratio 1.35, 1.05 to 1.72).

CONCLUSIONS

Modifiable risk factors such as health behaviours and obesity, when measured repeatedly over time, explain almost half of the social inequalities in incidence of type 2 diabetes. This is more than was seen in previous studies based on single measurement of risk factors.

Dietary intake after smoking cessation among weight-concerned women smokers

Weight gain typically accompanies smoking cessation, and women smokers concerned about postcessation weight gain are prone to substantial gain. Little is known about the ways in which cessation affects dietary composition. Understanding postcessation changes in dietary composition may inform the design of smoking cessation interventions to address postcessation weight gain. Participants were women smokers concerned about postcessation weight gain enrolled in a randomized trial and assigned to either bupropion or placebo and to either standard cessation intervention or standard intervention plus components to address weight concerns. Women completed three, 24-hr food recall interviews at baseline, and at 1 and 6 months following a targeted quit date. At 6 months, 22% of women were abstinent and had gained 3.6 (±2.7) kg, compared to 0.91 (±2.0) kg for women who continued to smoke, p = .42. Abstinent women reported significantly higher energy intake and consumed a smaller percentage of fat across assessment points than did those who continued to smoke. Intervention was not associated with differential weight gain or change in percent of calories from protein, fat, or carbohydrates. This study is the first documentation of energy and macronutrient intake during smoking cessation treatment using a validated 24-hr dietary recall methodology. Although cessation was associated with overall increases in energy intake among women, neither bupropion nor weight concerns treatment affected energy or macronutrient intake. Future research to understand the relation between cessation and dietary intake needs to replicate and extend these findings to elucidate how, if at all, smoking cessation affects dietary intake.

Underreporting of energy intake in maintenance hemodialysis patients: a cross-sectional study

OBJECTIVE

To analyze the reported energy intake (EI(rep)) in hemodialysis (HD) patients by total energy expenditure (TEE) measured by a dedicated device.

DESIGN

Cross-sectional study.

SETTING

RenalCor and RenalVida Clinics (Rio de Janeiro, Brazil).

PATIENTS AND OTHERS PARTICIPANTS

Forty-eight HD patients (51.4 ± 12.2 years, 62% men, body mass index [BMI], 23.8 ± 4.5 kg/m(2)) were studied.

MAIN OUTCOME MEASURE

EI(rep) was evaluated using a 3-day food record. TEE was measured over a 2-day period by SWA (SenseWear Pro2 Armband, BodyMedia Inc., Pittsburgh, PA). Subjects were identified as underreporters (URs), acceptable reporters (ARs), or overreporters (ORs) from their EI(rep)/TEE ratio. ARs were defined as having the EI(rep)/TEE ratio in the range of 0.76 to 1.24, URs as EI(rep)/TEE <0.76, ORs as EI(rep)/TEE >1.24 according to Goldberg index.

RESULTS

The mean TEE and EI(rep) were 34.7 ± 9.4 kcal/kg/day and 22.8 ± 10.6 kcal/kg/day, respectively, and 37.5% of patients presented overweight or obesity. Thirty-one patients (65%) were identified as URs, and the mean of Goldberg index was 0.54 ± 0.12 (0.23 to 0.75), versus 0.95 ± 0.12 (0.79 to 1.2) for ARs. There were no ORs among the patients studied. There were negative correlations between Goldberg index and BMI (r = -0.35, P < .01) and % body fat (r = -0.4, P < .01) and between EI(rep) and BMI (r = -0.58, P < .001).

CONCLUSION

These results confirm a high prevalence of underreporting of EI in HD patients, particularly in patients with high BMI.

Body composition and overweight of liver transplant recipients

BACKGROUND

Overweight is often used as a description after liver transplantation (LTx), but studies on body composition of patients submitted to LTx have only been devoted to early postoperative periods; there is little information regarding abdominal obesity after LTx. The aim of this study was to assess body composition, body mass index (BMI), and waist circumference and verify the prevalence and risk factors for excessive weight, obesity, and abdominal obesity in long-term survivors of LTx.

METHODS

Post-LTx patients with at least 1 year post-LTx were assessed for their body composition (by bioimpedance), BMI, and waist circumference. Demographic, socioeconomic, lifestyle, and clinical and dietetic variables were collected to assess risk factors using linear and logistic regression analyses.

RESULTS

We evaluated 143 patients (51±13 years; 59.4% male; median time since LTx: 4 years). The majority of patients had excessive weight, considering BMI, (58.1%). Considering body composition, 69.9% of patients were overweight and 37.8% obese. Some degree of abdominal obesity was seen in 88% of patients. Independent risk factors for overweight, obesity, and abdominal obesity after LTx included greater BMI before liver disease, weight gain since LTx, family history of overweight, smoking, working, being married, having less time since transplantation, a lower calcium intake, and less sleeping hours.

CONCLUSIONS

The majority of patients are overweight or obese after LTx, and many of the associated risk factors are modifiable. Thus, patients, especially those who already have identified risk factors for overweight and obesity, undergoing LTx should be encouraged to engage in lifestyle changes early.

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

Misreporting characterized by the reporting of implausible energy intakes may undermine the valid estimation of diet-disease relations, but the methods to best identify and account for misreporting are unknown. The present study compared how alternate approaches affected associations between selected dietary factors and body mass index (BMI) by using data from the European Prospective Investigation Into Cancer and Nutrition-Spain. A total of 24,332 women and 15,061 men 29-65 years of age recruited from 1992 to 1996 for whom measured height and weight and validated diet history data were available were included. Misreporters were identified on the basis of disparities between reported energy intakes and estimated requirements calculated using the original Goldberg method and 2 alternatives: one that substituted basal metabolic rate equations that are more valid at higher BMIs and another that used doubly labeled water-predicted total energy expenditure equations. Compared with results obtained using the original method, underreporting was considerably lower and overreporting higher with alternative methods, which were highly concordant. Accounting for misreporters with all methods yielded diet-BMI relations that were more consistent with expectations; alternative methods often strengthened associations. For example, among women, multivariable-adjusted differences in BMI for the highest versus lowest vegetable intake tertile (β = 0.37 (standard error, 0.07)) were neutral after adjusting with the original method (β = 0.01 (standard error, 07)) and negative using the predicted total energy expenditure method with stringent cutoffs (β = -0.15 (standard error, 0.07)). Alternative methods may yield more valid associations between diet and obesity-related outcomes.

Anthropometric, metabolic, dietary and psychosocial profiles of underreporters of energy intake: a doubly labeled water study among overweight/obese postmenopausal women--a Montreal Ottawa New Emerging Team study

BACKGROUND/OBJECTIVES

To analyze the anthropometric, metabolic, psychosocial and dietary profiles of underreporters, identified by the doubly labeled water technique, in a well-characterized population of overweight and obese postmenopausal women.

SUBJECTS/METHODS

The study population consisted of 87 overweight and obese sedentary postmenopausal women (age: 57.7+/-4.8 years, body mass index: 32.4+/-4.6 kg/m(2)). Subjects were identified as underreporters based on the energy intake to energy expenditure ratio of <0.80. We measured (1) body composition (by dual-energy X-ray absorptiometry), (2) visceral fat (by computed tomography), (3) blood profile, (4) resting blood pressure, (5) peak oxygen consumption (VO(2 peak)), (6) total energy expenditure, (7) muscle strength and (8) psychosocial and dietary profiles.

RESULTS

Out of 87 subjects, 50 (57.5%) were identified as underreporting subjects in our cohort. Underreporters showed higher levels of body mass index, fat mass, visceral fat, hsC-reactive protein, perceived stress and percentage of energy from protein, as well as lower levels of VO(2 peak), dietary intake of calcium, fiber, iron, vitamin B-1 and 6, as well as servings of fruit and vegetables. Logistic regression analysis showed that fat mass, odd ratio 1.068 (95% confidence interval 1.009-1.130) and perceived stress, odd ratio 1.084 (95% confidence interval 1.011-1.162) were independent characteristics of underreporters.

CONCLUSIONS

Results from this study show significant differences in anthropometric, metabolic, psychosocial and dietary profiles between underreporters and non-underreporters in our cohort of overweight and obese postmenopausal women.

A randomized trial of a church-based diabetes self-management program for African Americans with type 2 diabetes

PURPOSE

This study developed and tested a culturally appropriate, church-based intervention to improve diabetes self-management. Research Design and Methods This was a randomized trial conducted at 24 African American churches in central North Carolina. Churches were randomized to receive the special intervention (SI; 13 churches, 117 participants) or the minimal intervention (MI; 11 churches, 84 participants). The SI included an 8-month intensive phase, consisting of 1 individual counseling visit, 12 group sessions, monthly phone contacts, and 3 encouragement postcards, followed by a 4-month reinforcement phase including monthly phone contacts. The MI received standard educational pamphlets by mail. Outcomes were assessed at 8 and 12 months; the primary outcome was comparison of 8-month A1C levels.

RESULTS

At baseline, the mean age was 59 years, A1C 7.8%, and body mass index 35.0 kg/m(2); 64% of participants were female. For the 174 (87%) participants returning for 8-month measures, mean A1C (adjusted for baseline and group randomization) was 7.4% for SI and 7.8% for MI, with a difference of 0.4% (95% confidence interval [CI], 0.1-0.6, P = .009). In a larger model adjusting for additional variables, the difference was 0.5% (95% CI, 0.2-0.7, P < .001). At 12 months, the difference between groups was not significant. Diabetes knowledge and diabetes-related quality of life significantly improved in the SI group compared with the MI group. Among SI participants completing an acceptability questionnaire, intervention components and materials were rated as highly acceptable.

CONCLUSIONS

The church-based intervention was well received by participants and improved short-term metabolic control.

Underreporting of food intake among Mexican/Mexican-American Women: rates and correlates

BACKGROUND

Under-reporters are those individuals who report a dietary intake level that is not biologically plausible given their physiological status and physical activity level. Underreporting of food intake threatens the validity of dietary assessment; yet, little is known about the prevalence or correlates of underreporting in the Mexican/Mexican-American community.

OBJECTIVE

To examine underreporting rates and correlates among Mexican/Mexican-American women using dietary data based on repeated 24-hour recalls and the Goldberg equation.

DESIGN

Cross-sectional study of baseline data collected as part of a larger randomized controlled trial through structured interviews and anthropometric measurements.

SUBJECTS/SETTING

A random sample of 357 Mexican/Mexican-American women, ranging in age from 21 to 67 years, living in south San Diego near the United States/Mexico border.

STATISTICAL ANALYSES PERFORMED

Age, income level, education level, and weight status, all correlates of underreporting in samples of non-Hispanic white participants, were examined as potential correlates of underreporting among Mexican/Mexican-American women using binary logistic regression. Acculturation was examined to determine if it accounted for additional variance in underreporting. Finally, multivariate analyses using backward stepwise regression were conducted to determine which correlates remained significant in the final model.

RESULTS

Rates of underreporting varied across the five detection methods employed, from 11.9% (n=42) to 81.3% (n=286). Obese weight status was the only significant correlate across all five underreporting detection methods and remained significant in the final model. Using backward stepwise regression, the final model showed weight status to be a significant correlate of underreporting both at the overweight (P<0.05) and obese levels (P<0.01). In addition, Anglo orientation score (P<0.05) remained significant in the final model, as well as the age group of 51 years or older (P<0.05).

CONCLUSIONS

Consistent with previous studies, under-reporters in this Mexican/Mexican-American sample were more likely to be overweight or obese, and were older. They also were more likely to identify with the dominant Anglo culture. Additional studies are needed to further examine underreporting error in dietary assessment among Latinos, and to determine whether the effects of acculturation on underreporting are found in other Latino subgroups.

A novel method to remotely measure food intake of free-living individuals in real time: the remote food photography method

The aim of the present study was to report the first reliability and validity tests of the remote food photography method (RFPM), which consists of camera-enabled cell phones with data transfer capability. Participants take and transmit photographs of food selection and plate waste to researchers/clinicians for analysis. Following two pilot studies, adult participants (n 52; BMI 20-35 kg/m2 inclusive) were randomly assigned to the dine-in or take-out group. Energy intake (EI) was measured for 3 d. The dine-in group ate lunch and dinner in the laboratory. The take-out group ate lunch in the laboratory and dinner in free-living conditions (participants received a cooler with pre-weighed food that they returned the following morning). EI was measured with the RFPM and by directly weighing foods. The RFPM was tested in laboratory and free-living conditions. Reliability was tested over 3 d and validity was tested by comparing directly weighed EI to EI estimated with the RFPM using Bland-Altman analysis. The RFPM produced reliable EI estimates over 3 d in laboratory (r 0.62; P < 0.0001) and free-living (r 0.68; P < 0.0001) conditions. Weighed EI correlated highly with EI estimated with the RFPM in laboratory and free-living conditions (r>0.93; P < 0.0001). In two laboratory-based validity tests, the RFPM underestimated EI by - 4.7 % (P = 0.046) and - 5.5 % (P = 0.076). In free-living conditions, the RFPM underestimated EI by - 6.6 % (P = 0.017). Bias did not differ by body weight or age. The RFPM is a promising new method for accurately measuring the EI of free-living individuals. Error associated with the method is small compared with self-report methods.

Motivational interviewing fails to improve outcomes of a behavioral weight loss program for obese African American women: a pilot randomized trial

Compared to other racial/ethnic groups, African American (AA) women are more likely to be obese but less likely to participate in weight loss interventions or to successfully lose weight. Sustained motivation for weight loss may be especially difficult for AA women due to socioeconomic and cultural factors. The purpose of this study was to examine whether the addition of motivational interviewing (MI) to a culturally-targeted behavioral weight loss program for AA women improved adherence to the program, diet and physical activity behaviors, and weight loss outcomes. Forty-four obese (mean BMI = 39.4, SD = 7.1) AA women were randomized to receive a 16-week behavioral weight loss program plus four MI sessions, or the same behavioral weight loss program plus four health education (HE; attention control) sessions. Results showed that participants in both MI and HE conditions lost a significant amount of weight, reduced their energy intake and percent calories from fat, and increased their fruit and vegetable consumption (ps < .05). However, adherence to the behavioral weight loss program and changes in diet, physical activity, and weight did not differ across MI and HE conditions. Future research is warranted to determine the subpopulations with which MI is most effective.

Randomized trial of a clinic-based, community-supported, lifestyle intervention to improve physical activity and diet: the North Carolina enhanced WISEWOMAN project

OBJECTIVE

To determine if a clinic-based behavioral intervention program for low-income mid-life women that emphasizes use of community resources will increase moderate intensity physical activity (PA) and improve dietary intake.

METHODS

Randomized trial conducted from May 2003 to December 2004 at one community health center in Wilmington, NC. A total of 236 women, ages 40-64, were randomized to receive an Enhanced Intervention (EI) or Minimal Intervention (MI). The EI consisted of an intensive phase (6 months) including 2 individual counseling sessions, 3 group sessions, and 3 phone calls from a peer counselor followed by a maintenance phase (6 months) including 1 individual counseling session and 7 monthly peer counselor calls. Both phases included efforts to increase participants' use of community resources that promote positive lifestyle change. The MI consisted of a one-time mailing of pamphlets on diet and PA. Outcomes, measured at 6 and 12 months, included the comparison of moderate intensity PA between study groups as assessed by accelerometer (primary outcome) and questionnaire, and dietary intake assessed by questionnaire and serum carotenoids (6 months only).

RESULTS

For accelerometer outcomes, follow-up was 75% at 6 months and 73% at 12 months. Though moderate intensity PA increased in the EI and decreased in the MI, the difference between groups was not statistically significant (p=0.45; multivariate model, p=0.08); however, moderate intensity PA assessed by questionnaire (92% follow-up at 6 months and 75% at 12 months) was greater in the EI (p=0.01; multivariate model, p=0.001). For dietary outcomes, follow-up was 90% for questionnaire and 92% for serum carotenoids at 6 months and 74% for questionnaire at 12 months. Dietary intake improved more in the EI compared to the MI (questionnaire at 6 and 12 months, p<0.001; serum carotenoid index, p=0.05; multivariate model, p=0.03).

CONCLUSION

The EI did not improve objectively measured PA, but was associated with improved self-reported and objective measures of dietary intake.

Underreporting of energy intake and associated factors in a Latino population at risk of developing type 2 diabetes

The objective of this study was to examine the extent of underreporting of total energy intake and associated factors in a low-income, low-literacy, predominantly Caribbean Latino community in Lawrence, MA. Two hundred fifteen Latinos participated in a diabetes prevention study, for which eligibility included a >or=30% risk of developing diabetes in 7.5 years. Dietary self-reported energy intake was assessed using three randomly selected days of 24-hour diet recalls. Basal metabolic rate (BMR) was estimated using the Mifflin-St Jeor equation. Underreporting was determined by computing a ratio of energy intake to BMR, with a ratio of 1.55 expected for sedentary populations. Linear regression analyses were used to identify factors associated with underreporting (energy intake:BMR ratio). The population was predominately women (77%), middle-aged (mean 52+/-11 years), obese (78% had a body mass index >or=30); low-literate (62% < high school education), unemployed (57% reported no job), married or living with partner (52%), and some had a family history of diabetes (37% had siblings with diabetes). Reported total daily energy intake was 1,540+/-599 kcal, whereas estimated BMR was 1,495.7+/-245.1 kcal/day. When multiplied by an activity factor (1.20 for sedentariness), expected energy intake was 1,794+/-294.0 per day, indicating underreporting by an average of 254 kcal/day. Mean energy intake:BMR was 1.03+/-0.37, and was lower for participants with higher body mass index, siblings with diabetes, sedentary lifestyle, and those who were unemployed. Energy intake underreporting is prevalent in this low-income, low-literacy Caribbean Latino population. Future studies are needed to develop dietary assessment measures that minimize underreporting in this population.

Is a failure to recognize an increase in food intake a key to understanding insulin-induced weight gain?

The present study aimed to assess the contribution of energy intake to positive energy balance and weight gain with insulin therapy. Changes in energy intake (self-report and weighed food intake), dietary behavior (auto-questionnaires), resting energy expenditure (REE) (indirect calorimetry), physical activity (accelerometry), and glucosuria were monitored over the first 6 months of insulin therapy in 46 diabetic adults. No change in REE, activity, or glucosuria could explain weight gain in the type 1 (4.1 +/- 0.6 kg, P < 0.0001) or type 2 (1.8 +/- 0.8 kg, P = 0.02) diabetic groups. An increase in energy intake provides the most likely explanation for weight gain with insulin. However, it is not being recognized because of significant underestimation of self-reported food intake, which appears to be associated with increased dietary restraint.

Low energy reporting related to lifestyle, clinical, and psychosocial factors in a randomly selected population sample of Greek adults: the ATTICA Study

OBJECTIVE

Aim of the present study was to identify potential dietary, lifestyle, psychosocial and clinical correlates of underreporting in a population-based sample.

METHODS

Following a random multistage sampling, 1514 men (46+/-13 years old) and 1528 women (45+/-13 years old) from the Attica area, in Greece, participated in this study. All participants underwent a standard assessment procedure that included clinical, psychosocial and lifestyle parameters. Food consumption was assessed through a validated semi-quantitative food frequency questionnaire. The ratio of energy intake to estimated basal metabolic rate (EI/BMR) and the Goldberg cut-off points were used for the classification of subjects as low energy reporters (LERs) and non-LERs.

RESULTS

LERs represented 12.2% of the sample. This percentage was higher in obese subjects compared to overweight or normal weight (20.6 % vs. 9.9 % vs. 10.6 %, p = 0.05), as well as in women compared to men (14.6% vs. 9.9%, p<0.001). Data analysis was stratified by gender, since a significant interaction was observed between gender and LER group on several dietary parameters. Female LERs had higher Med Diet Score compared to non-LERs (30.6 +/- 8.2, 95%CI 30.2-31.04 vs. 26.9 +/- 6.3, 95%CI 26.05-27.7, p<0.001). Multiple regression analysis revealed that lower EI/BMR values were associated with younger age (p<0.001), higher BMI (p<0.001), presence of diabetes mellitus (p=0.012) and lower depression score (p=0.056) in women, whereas with younger age (p<0.001), higher BMI (p<0.001), higher education level (p=0.046) and higher anxiety score (p=0.08) in men.

CONCLUSION

Several psychosocial and clinical characteristics operate in low energy reporting in both genders. Nutrition-related professionals should be aware of these gender-specific trends in dietary assessment procedures.

Characteristics of misreporters of dietary intake and physical activity

Objective

To characterise misreporters of energy intake (EI) and energy expenditure (EE).

Design

Cross-sectional study, using a validated position and motion instrument, ActiReg®, as the reference method to study misreporters of EI and of EE. EI was measured using a dietary record and EE using a physical activity questionnaire (PAQ). Misreporters were defined as subjects outside the 95% confidence limits of agreement between EI or EE reported/EE measured.

Setting

Free-living Danish volunteers.

Subjects

One hundred and thirty-eight volunteers aged between 20 and 59 years.

Results

Body mass index, smoking, ‘try to eat healthily’ and worries about weight were related to degree of under-reported EI. The percentage energy from added sugar was lowest (P < 0.001) and the percentage energy from protein (P < 0.001) highest in under-reporters compared with acceptable reporters. Subjects who reported being very physically active at work or in leisure time reported a higher EE than measured EE compared with less physically active subjects (P < 0.05). Likewise, subjects who regard themselves as fit or very fit reported a higher EE than subjects who regard themselves as moderately fit (P < 0.05). Possible over-reporters reported less time as very light activity (P = 0.007), more time as moderate activity (P = 0.01) and more time as vigorous activity (P = 0.02) than acceptable reporters.

Conclusions

Under-reporting of EI should always be taken into consideration; however, only a few characteristics of under-reporters are consistent among studies. Misreporting of EI was more prevalent than misreporting of EE. The level of physical activity more than the time spent involved in various activities was misreported.

Validation of dietary intake data in black women with type 2 diabetes

The validity of baseline dietary intake data in women participating in a culturally competent intervention study for black women with type 2 diabetes was assessed. The relationship of sociodemographic and physiologic factors with underreporting of dietary intake was determined. Criterion validity of dietary intake, which had been assessed using the Nutritionist Five Collection Form, a combination of a standard 2-day dietary recall and a modified, culturally appropriate food frequency questionnaire, was determined. Data were analyzed using First Data Bank Nutritionist Five (version 2.3, 2000, First Data Bank, San Bruno, CA) software. Validation of baseline dietary data in 109 women was performed by calculating the ratio of energy intake to resting metabolic rate. Chi(2) and t tests were used to assess relationships between underreporting and sociodemographic and physiologic factors. Mean ratio of energy intake to resting metabolic rate was 1.46 (+/-0.4). Using a lower limit of 1.35, the prevalence of underreporting was 46.8%. Underreporting was significantly associated with body mass index (P< or =0.001) and waist circumference (P<0.001). Use of this combined dietary recall and modified food frequency questionnaire might, therefore, provide more accurate dietary assessment in this population. Additional modification and validity testing is warranted in this and other populations.

[Dietary assessment of the patients detected with hiperglycemia in the "Detection of Diabetes in Suspect Cases Campaign" in Viçosa, MG]

The purpose of this work is to assess the current, qualitative and quantitative alimentary consumption of patients detected with hiperglycemia in the "Detection of Diabetes in Suspect Cases Campaign" in Viçosa, MG. 256 patients were detected with hiperglycemia in 2001; however, 156 (60.9%) were assessed in 2004. The remaining people were dead, had changed their address, did not accept to participate in the study or did not have diagnosed diabetes. The hiperglycemic patients answered an alimentary frequency questionnaire for assessing their dietary intake and their usual diet recall, both previously tested in pilot-population. The most daily consumed foods were vegetable oil (99%), bean (94%), rice (90%), artificial sweetener (80%), leaf vegetables (63%), milk (61%), and French bread (54%). Most of the patients said they avoid sugar, sugary foods and animal fats. The largest percentiles of nutrients inadequacy happened for energy (85%), fibers (87%), calcium (94%), carbohydrates (82%), monounsaturated fats (91%) and proteins (58%). These last three happened in relation to total energy intake values. The current data allowed us to know about the alimentary habits of these people and also to stimulate nutrition intakes, being useful to the nutritional counseling, suggesting specific orientations in order to provide a more appropriate feeding, contributing to better health conditions and well-being.

Eating behavior among type 2 diabetic patients: a poorly recognized aspect in a poorly controlled disease

Nutrition intervention is an integral part of type 2 diabetes care. Dietary management entails a series of eating behavior changes regarding meal planning, food selection, food preparation, dining out, portion control, as well as appropriate responses to eating challenges. Diabetic patients encounter several difficulties in complying with the dietary regime. They exhibit restrictive eating behaviors, they express feelings of dietary deprivation, and rigid dietary control is perceived as the only way to a proper diet and weight management. However, pressure to conform to nutritional recommendations may render diabetics more prone to dietary under-reporting. Binge eating, restraint and body dissatisfaction frequently occur among these patients. Health professionals, therefore, need to take into account these difficulties in their collaboration with the patients in order to improve the effectiveness of nutrition intervention.

Accelerometer data reduction: a comparison of four reduction algorithms on select outcome variables

PURPOSE

Accelerometers are recognized as a valid and objective tool to assess free-living physical activity. Despite the widespread use of accelerometers, there is no standardized way to process and summarize data from them, which limits our ability to compare results across studies. This paper a) reviews decision rules researchers have used in the past, b) compares the impact of using different decision rules on a common data set, and c) identifies issues to consider for accelerometer data reduction.

METHODS

The methods sections of studies published in 2003 and 2004 were reviewed to determine what decision rules previous researchers have used to identify wearing period, minimal wear requirement for a valid day, spurious data, number of days used to calculate the outcome variables, and extract bouts of moderate to vigorous physical activity (MVPA). For this study, four data reduction algorithms that employ different decision rules were used to analyze the same data set.

RESULTS

The review showed that among studies that reported their decision rules, much variability was observed. Overall, the analyses suggested that using different algorithms impacted several important outcome variables. The most stringent algorithm yielded significantly lower wearing time, the lowest activity counts per minute and counts per day, and fewer minutes of MVPA per day. An exploratory sensitivity analysis revealed that the most stringent inclusion criterion had an impact on sample size and wearing time, which in turn affected many outcome variables.

CONCLUSIONS

These findings suggest that the decision rules employed to process accelerometer data have a significant impact on important outcome variables. Until guidelines are developed, it will remain difficult to compare findings across studies.

Trends in energy and macronutrient intakes in non-under-reporters vary with the method used to identify under-reporters

OBJECTIVE

To investigate effects of using different methods to identify under-reporters on trends in dietary intake and physical activity level (PAL) in non-under-reporters.

DESIGN

Dietary intake and activity pattern were recorded by 887 female university students from 1988 to 2003. Energy expenditure (EE) and PAL were measured using a factorial method. Nine methods were used to identify under-reporters. Trends between 1988 and 2003 were determined from linear regression of median data for each year.

RESULTS

Prevalence of under-reporting varied with the method used, ranging from 22.2% to 66.7%. Trends that were consistent using all methods were a decrease in per cent of energy from fat and no change in alcohol intake or PAL (P<0.05). Trends in energy and macronutrient intakes varied with the method used. Using the four methods that excluded the most under-reporters there were increases in energy and gram carbohydrate (CHO) intakes (P<0.05), but no change in gram fat intake. Using the four methods that excluded the fewest under-reporters there was no change in energy or gram CHO intake, but a decrease in gram fat intake (P<0.05).

CONCLUSION

Trends in energy, fat and CHO intakes in non-under-reporters varied with the method used to identify under-reporters.