Underreporting Of Energy Intake Research Articles

Evaluation of underreporting of energy intake using a smartphone food application and 24h dietary recall compared to resting energy expenditure in overweight and obesity

Evaluation of underreporting of energy intake using a smartphone food application and 24h dietary recall compared to resting energy expenditure in overweight and obesity

Relationship between underreporting of energy intake and blood ketone levels in Japanese women with obesity: A retrospective study.

Underreporting is a problem in dietary surveys, and data on Japanese individuals with obesity are lacking. In addition, in dietary surveys of individuals with obesity, underreporting and extreme energy restrictive practices for short periods of time have been reported, and blood total ketone levels (ketone bodies) may be able to distinguish between these factors. The present study aimed to examine the relationship between underreporting [energy intake (EI)/basal metabolic rate estimate (BMR)] and ketone bodies in obese Japanese women. The participants included 91 women with obesity aged 47±9 years with a body mass index (BMI) of 29.8±3.9 kg/m² who met the exclusion criteria out of 164 individuals who participated in an institutional cohort study baseline survey between September 2006 and September 2015. The current study defined the relationship between EI/BMR, BMI and the participants' ketone body levels. EI/BMR <1.35 and ketone body level <1.0 mmol/l was defined as underreporters, while EI/BMR <1.35 and ketone body level ≥1.0 mmol/l was defined as energy-restricted reporters based on previous research. The EI/BMR of the participants was 1.44±0.32, and 25.3% had an abnormally high level of ketone bodies. Multiple regression analysis indicated that ketone bodies were explanatory variables for EI/BMR. Analysis using EI/BMR and ketone bodies estimated that 26.4% were underreporters and 12.1% were energy-restricted reporters. There were no significant differences in reported energy intake, carbohydrate intake (g/day), and percentage carbohydrate (%) between the underreporters and energy-restricted reporters. In conclusion, low EI/BMR was associated with high ketone body levels in Japanese women with obesity. The combination of EI/BMR and ketone bodies may distinguish between or screen for underreporters and energy-restricted reporters during a dietary survey.

Obesidade e conteúdo de proteína e gordura na dieta estão associados ao sub-relato do consumo energético na gravidez

Abstract Objectives: to evaluate the association of pre-pregnancy and current body mass index and the density of dietary macronutrients on underreporting of energy intake at pregnancy. Methods: cross-sectional analysis of 327 postpartum women from the city of Mesquita, in Rio de Janeiro. A food frequency questionnaire was administered at maternity ward having the last six months of the pregnancy as the time frame. Energy balance was considered as the outcome, and it was calculated as the division of energy intake by basal metabolic rate (underreport &lt;1.35). Multivariate logistic regression was applied to test the associations between body mass index (pre-gestational and postpartum) on energy balance (underreport or not). Dietary density of protein (4th quartile), carbohydrate (1st quartile) and fat intake (1st quartile) were tested. Results: mean energy intake was 2,894 kcal and near of 25% of the women were considered as underreported during pregnancy. Obese women had higher chance (OR=1.90; CI95%=1.09-3.33) of being underreported at pregnancy. Underreported women presented greater chance of report dietary intake with higher contents of protein (OR=2.37; CI95%=1.37-4.09) and lower density of fat (OR= .81; CI95%=1.04-3.15). Conclusion: underreported pregnant women had higher chance of report great and lower amounts of protein and fat dietary densities.

Underreporting of energy intake is not associated with the reported consumption of NOVA-classified food groups in socially vulnerable women.

Few studies have investigated which types of food are least reported among underreporters of energy intake (EI). This study assessed the association between the underreporting of EI and the consumption report of food groups according to NOVA classification in women in social vulnerability. EI was measured through three 24-h dietary recalls administered by the research team. Total energy expenditure (TEE) was evaluated using the doubly labelled water method. The percentage of EI arising from each NOVA group food classification (unprocessed/minimally processed foods, culinary ingredients, processed foods and ultra-processed foods [UPF]) was calculated. The agreement between the EI and the TEE was assessed using the ratio EI:TEE. Associations were assessed with Pearson's correlation and multivariable linear regression, adjusted for age, education and body fat. The sample (63 women, age: 30.8 years, Body Mass Index: 27.6kg/m2 ) reported an EI of 1849 kcal and a TEE of 2223 kcal, with a mean EI:TEE of 0.85. There were no significant correlations between the EI:TEE and the reported food intake according to NOVA classifications. Multivariable linear regression also did not show any significant associations (UPF: 8.47, 95% CI: [-3.65; 20.60] %kcal; Processed: -6.85, [-19.21; 7.71] %kcal; Culinary ingredients: 1.30 [-5.10; 7.71] %kcal; Unprocessed/minimally processed: -2.92 [-10.98; 5.13] %kcal). In conclusion, socially vulnerable women that underreport their EI do not report a lower intake of any specific group of foods according to NOVA classification.

Estimativa da subnotificação de ingestão energética através de diferentes métodos em uma subamostra do estudo ELSA-Brasil

Existing methods for assessing food consumption are subject to measurement errors, especially the underreporting of energy intake, characterized by reporting energy intake below the minimum necessary to maintain body weight. This study aimed to compare the identification of energy intake underreporters using different predictive equations and instruments to collect dietary data. The study was conducted with 101 selected participants in the third wave of the Longitudinal Study of Adult Health (ELSA-Brasil) at the University Hospital of the University of São Paulo. For the dietary assessment, we applied a food frequency questionnaire (FFQ), two 24-hour diet recall (24hR) using the GloboDiet software, and two 24hR using the Brasil-Nutri software. The energy intake underreport obtained from the FFQ was 13%, 16%, and 1% using the equations proposed by Goldberg et al. (1991), Black (2000), and McCrory et al. (2002), respectively. With these same equations, the 24hR described an underreport of 9.9%, 14.9%, and 0.9% respectively with the GloboDiet software and 14.7%, 15.8%, and 1.1% respectively with the Brasil-Nutri software. We verified a low prevalence of underreported energy intake among the three self-report-based dietary data collection methods (FFQ, 24hR with GloboDiet, and Brasil-Nutri). Though no statistically significant differences were found among three methods, the equations for each method differed among them. The agreement of energy intake between the methods was very similar, but the best was between GloboDiet and Brasil-Nutri.

Underreporting of energy intake in weight loss maintainers

Individuals with overweight or obesity commonly underreport energy intake (EI), but it is unknown if the tendency to underreport persists in formerly obese individuals who lose significant weight and maintain their weight loss over long periods of time. Assess the accuracy of self-reported EI in successful weight loss maintainers (WLM) compared with controls of normal body weight (NC) and controls with overweight/obesity (OC). Participants for this case-controlled study were recruited in 3 groups: WLM [n = 26, BMI (in kg/m2) 24.1±2.3; maintaining ≥13.6 kg weight loss for ≥1 y], NC (n = 33, BMI 22.7±1.9; similar to current BMI of WLM), and OC (n = 32, BMI 34.0±4.6; similar to pre-weight loss BMI of WLM). Total daily energy expenditure (TDEE) was measured over 7 d using the doubly labeled water (DLW) method, and self-reported EI was concurrently measured from 3-d diet diaries. DLW TDEE and self-reported EI were compared to determine accuracy of self-reported EI. WLM underreported EI (median, interquartile range) (-605, -915 to -314 kcal/d) to a greater degree than NC (-308, -471 to -68 kcal/d; P < 0.01) but not more than OC (-310, -970 to 18 kcal/d; P = 0.21). WLM also showed a greater degree of relative underreporting (-25.3%, -32.9% to -12.5%) compared with NC (-14.3%, -19.6% to -3.1%; P = 0.02) but not OC (-11.2%, -34.1% to -0.7%; P = 0.16). A greater proportion of WLM was classified as underreporters (30.8%) than NC (9.1%; P = 0.05) but not OC (28.1%; P = 1.00). WLM underreported EI in both absolute and relative terms to a greater extent than NC but not OC. These findings call into question the accuracy of self-reported EI in WLM published in previous studies and align with recent data suggesting that WLM rely less on chronic EI restriction and more on high levels of physical activity to maintain weight loss. This trial was registered at clinicaltrials.gov as NCT03422380.

Impact of obesity on underreporting of energy intake in type 2 diabetic patients: Clinical Evaluation of Energy Requirements in Patients with Diabetes Mellitus (CLEVER-DM) study.

Although accurate assessment of energy intake (EI) is critical in diabetes care, underreporting of EI on dietary records (DR) is often an issue. However, few studies have examined EI with doubly labeled water (DLW) in patients with diabetes mellitus. We aimed to investigate the impact of sex and obesity on the dissociation of DR from total energy expenditure (TEE) evaluated with DLW in patients with type 2 diabetes. Fifty-two patients with type 2 diabetes aged 60-79 years were enrolled for the Clinical Evaluation of Energy Requirements in Patients with Diabetes Mellitus (CLEVER-DM) study at a single university hospital. TEE was measured over 14 days by the DLW method as standard. EI was calculated by assessment of 3-day DR by registered dietitians. The mean difference between EI and TEE was 238±412kcal/day (~10% of TEE). Neither EI nor TEE was significantly different between obese (body mass index (BMI) ≥25kg/m2) and non-obese (BMI <25kg/m2) patients. There was a negative correlation between EI/TEE ratio and BMI in women (R=-0.437, P=0.033) but not in men (R=-0.174, P=0.377). There was a significant difference in EI/TEE ratio between obese and non-obese patients among women (0.85±0.15 vs. 1.01±0.21, P=0.045) but not men (0.85±0.20 vs. 0.87±0.17, P=0.79). EI calculated by 3-day DR may underestimate habitual intake, which is assumed to be equal to TEE measured by the DLW method except in non-obese women with diabetes. UMIN000023051.

Traditional Self-Reported Dietary Instruments Are Prone to Inaccuracies and New Approaches Are Needed.

Background: Diet is a modifiable behavior that influences an individual's health. Because of this, diet assessment is an important component of public health surveillance, evaluating response to community health interventions, and monitoring individual compliance to medical interventions. Diet assessments are usually performed using one of three basic methods: diet recall, diet diaries, or food frequency questionnaires. Although these three assessment instruments have displayed a strong agreement between themselves, when reported intake is compared with intake measured using quantitative nutrient biomarkers, investigators have identified systematic misreporting errors for all three of these self-reported dietary instruments.Aims: This work aims to summarize the state of knowledge regarding misreporting and why it impedes diet–health research and to introduce advances in the collection and the treatment of dietary data.Methods: This work reviews and summarizes published data on misreporting and the recent efforts to reduce such errors.Results: The evidence demonstrates a strong and consistent systematic underreporting of energy intake (EIn) across adults and children studies. Underreporting of EIn has been found to increase with body mass index (BMI), and the differences between macronutrient reports indicate that not all foods are underreported equally. Protein is least underreported, but which specific foods are commonly underreported are not known.Conclusions: Because energy underreporting varies as a function of BMI, self-reported EIn should not be used for the study of energy balance in the study of obesity. The between-individual variability in the underreporting of self-reported intake of energy and other nutrients attenuates diet–disease relationships. Recent efforts to correct for underreporting have reduced misreporting of diet outcomes, but improvements have been incremental in nature and more research is needed to validate and extend these efforts.

Dietary Protein Intake during Pregnancy Is Not Associated with Offspring Insulin Sensitivity during the First Two Years of Life

Literature describing a relationship between dietary protein intake during pregnancy and offspring insulin resistance are equivocal perhaps because of the lapse between maternal and offspring measurements (~9–40 years). Thus, we evaluated protein intake in healthy women [n = 182, mean ± SD; body mass index (BMI): 26.2 ± 4.2 kg/m2] in early pregnancy (8.4 ± 1.6 weeks, EP), late pregnancy (30.1 ± 0.4 weeks, LP), and averaged throughout pregnancy, and determined the relationship between protein intake and offspring homeostatic model assessment of insulin resistance (HOMA2-IR) at 12 (12mo) and 24 (24mo) months. EP protein (g·kg−1·day−1) did not associate with HOMA2-IR at 12mo (β = 0.153, p = 0.429) or 24mo (β = −0.349, p = 0.098). LP protein did not associate with HOMA2-IR at 12mo (β = 0.023, p = 0.916) or 24mo (β = −0.442, p = 0.085). Finally, average protein did not associate with HOMA2-IR at 12mo (β = 0.711, p = 0.05) or 24mo (β = −0.445, p = 0.294). Results remained unchanged after adjusting for plant protein intake quartiles during pregnancy, maternal BMI, and offspring sex and body fat percentage. Additionally, these relationships did not change after quartile analysis of average protein intake, even after considering offspring fasting time and HOMA2-IR outliers, and maternal under-reporters of energy intake. Protein intake during pregnancy is not associated with indirect measurements of insulin sensitivity in offspring during the first two years of life.

Preoccupation with Body Weight and Under-Reporting of Energy Intake in Female Japanese Nutrition Students.

The present study aimed to examine associations between body image and under-reporting in female Japanese university students enrolled in a nutrition degree program. A total of 100 participants (aged 18–29 years) completed (1) a self-administered questionnaire including the Ben-Tovim Walker Body Attitudes Questionnaire (BAQ), (2) a dietary assessment using a brief-type self-administered diet history questionnaire (BDHQ), (3) a physical activity assessment using Bouchard’s Physical Activity Record (BAR) and a tri-axial accelerometer, (4) detailed anthropometry, and (5) body composition assessment. Based on the energy intake to basal metabolic rate ratio (EI:BMR) and using a cut-off point of 1.35, 67% of participants were considered under-reporters (URs). While there was no between-group difference in BMI, URs had significantly (p < 0.05) greater percentage body fat (%BF) and trunk fat (%TF) compared with non-URs. Regression analyses indicated accuracy of body perception and a discrepancy between current and ideal weight were associated with EI:BMR, whereas the salience subscale of the BAQ was associated with reported EI. The study raises concerns regarding the validity of EI reported from young Japanese females as they are known to have a strong preoccupation with thinness, even with an acceptable BMI and health and nutritional knowledge.

Comparison between self-reported and measured anthropometric data of energy intake under-reporters: 2015 Healthy Survey of São Paulo

AbstractIntroductionMisreporting in adults has been associated with socioeconomic and anthropometric characteristics, such as sex, age and weight status. Body Mass Index (BMI) is an important factor that has been associated with underreporting of energy intake. Many epidemiological studies often use self-reported values of height and weight, in order to reduce the cost and viability of population-base studies. Therefore, it is important to test the reliability of self-reported against measured values of height, weight and BMI in individuals who tend to underestimate their energy consumption.ObjectiveTo compare self-reported and measured anthropometric data of individuals who are underreporting their energy intake.Materials and MethodsThe sample included forty-six men and women who participated on the Health Survey of São Paulo, Brazil and had their total energy expenditure (TEE) measured by the doubly labelled water technique. Self-reported data were obtained from questionnaires and trained professional conducted the measurements of height and weight. BMI was classified based on the World Health Organization cutoff points for adults and the Pan-American Health Organization for elderlies. Correlation analysis and paired t test was used to test the differences between both values. Energy intake (EI) was assessed using two 24-hours dietary recall. The ratio of EI:TEE was used to identify misreporting considering the 95% confidence intervals. Respondents were classified in under-reporters, plausible reporters and over-reporters.ResultsTwenty-six (57.8%) were classified as under-reporters, thirteen (28.9%) as plausible reporters, and six (13.3%) as over-reporters. Significant differences were found comparing measured vs. self-reported anthropometric values of under-reporters with height (1.60 m vs. 1.62 m, p &lt; 0.00) and BMI (29.1kg/m2 vs. 27.9kg/m2, p &lt; 0.02), but no significant differences for weight (74.6 kg vs. 75.7 kg, p = 0.28). Overweight and obesity were higher in under-reporters comparing self-reported (11.5% and 30.8%) and measured (15.4% and 46.2%) anthropometric values. Pearson correlation coefficient between measured and self-reported values was 0.95 (p &lt; 0.00) for weight, 0.96 (p &lt; 0.00) for height and 0.92 (p &lt; 0.00) for BMI.DiscussionAlthough results showed a strong and significant correlation between self-reported and measured anthropometric values in under-reporters, it is important to consider BMI and obesity are important factors related to underreporting. Therefore, it recommends to measure anthropometric data in studies that aim to characterize misreporting based on nutritional status, since the classification and prevalence of BMI and obesity can be affected by the chosen approach.

Under-reporting of energy and nutrient intake is a persistent issue in the Malaysian Adult Nutrition Surveys

Introduction: Under-reporting of energy intake is a common cause of bias in nutritional studies. This study was aimed at examining the extent of underreporting of energy intake and its related characteristics among respondents in the Malaysian Adult Nutrition Survey (MANS) 2003 and MANS 2014. Methods: The present study analysed energy intakes of 9,624 adults aged 18-59 years from the MANS in year 2014 (2,890 respondents) and 2003 (6,734 respondents) using a single 24-hour diet recall. Basal metabolic rates (BMR) were calculated from the age- and gender-specific equations of Schofield. Under-reporting was defined as an energy intake:BMR ratio of <1.2 as proposed by Goldberg. Results: Under-reporting was found to have increased significantly from 53% in 2003 to 61% in 2014. In both surveys, under-reporting increased with higher body mass index (BMI) and older age groups. It was higher among women than men, lowest among those with primary schooling or below, and those living in Peninsular Malaysia. It was higher among rural respondents in 2014 but higher among urban respondents in 2003. The intake of energy and micronutrients increased when under-reporters were excluded. Conclusion: Under-reporting was prevalent in both the nationwide MANS, and is associated with BMI, age, gender, education level, location strata, zone. It is important to take this factor into account when assessing dietary intake in population-based studies. © 2019, Malaysian Journal of Nutrition.

Energy expenditure and dietary intake in professional football players in the Dutch Premier League: Implications for nutritional counselling

ABSTRACTSelecting effective dietary strategies for professional football players requires comprehensive information on their energy expenditure (EE) and dietary intake. This observational study aimed to assess EE and dietary intake over a 14-day period in a representative group (n = 41) of professional football players playing in the Dutch Premier League (Eredivisie). Daily EE, as assessed by doubly labelled water, was 13.8 ± 1.5 MJ/day, representing a physical activity level (PAL) of 1.75 ± 0.13. Weighted mean energy intake (EI), as assessed by three face-to-face 24-h recalls, was 11.1 ± 2.9 MJ/day, indicating 18 ± 15% underreporting of EI. Daily EI was higher on match days (13.1 ± 4.1 MJ) compared with training (11.1 ± 3.4 MJ; P < 0.01) and rest days (10.5 ± 3.1 MJ; P < 0.001). Daily carbohydrate intake was significantly higher during match days (5.1 ± 1.7 g/kg body mass (BM)) compared with training (3.9 ± 1.5 g/kg BM; P < 0.001) and rest days (3.7 ± 1.4 g/kg BM; P < 0.001). Weighted mean protein intake was 1.7 ± 0.5 g/kg BM. Daytime distribution of protein intake was skewed, with lowest intakes at breakfast and highest at dinner. In conclusion, daily EE and PAL of professional football players are modest. Daily carbohydrate intake should be increased to maximize performance and recovery. Daily protein intake seems more than adequate, but could be distributed more evenly throughout the day.

Associations of dietary energy density with body composition and cardiometabolic risk in children with overweight and obesity: role of energy density calculations, under-reporting energy intake and physical activity.

This study examined (1) the association of dietary energy density from solid (EDS) and solid plus liquids (EDSL) with adiposity and cardiometabolic risk factors (CRF) in children with overweight and obesity, (2) the effect of under-reporting on the mentioned associations and (3) whether the association between ED and body composition and CRF is influenced by levels of physical activity. In a cross-sectional design, 208 overweight and obese children (8-12-year-old; 111 boys) completed two non-consecutive 24 h recalls. ED was calculated using two different approaches: EDS and EDSL. Under-reporters were determined with the Goldberg method. Body composition, anthropometry and fasting blood sample measurements were performed. Moderate to vigorous physical activity (MVPA) was registered with accelerometers (7-d-register). Linear regressions were performed to evaluate the association of ED with the previously mentioned variables. Neither EDS nor EDSL were associated with body composition or CRF. However, when under-reporters were excluded, EDS was positively associated with BMI (P=0·019), body fat percentage (P=0·005), abdominal fat (P=0·008) and fat mass index (P=0·018), while EDSL was positively associated with body fat percentage (P=0·008) and fat mass index (P=0·026). When stratifying the group according to physical activity recommendations, the aforementioned associations were only maintained for non-compliers. Cluster analysis showed that the low-ED and high-MVPA group presented the healthiest profile for all adiposity and CRF. These findings could partly explain inconsistencies in literature, as we found that different ED calculations entail distinct results. Physical activity levels and excluding under-reporters greatly influence the associations between ED and adiposity in children with overweight and obesity.

System Identification Approaches For Energy Intake Estimation: Enhancing Interventions For Managing Gestational Weight Gain.

Excessive maternal weight gain during pregnancy represents a major public health concern that calls for novel and effective gestational weight management interventions. In Healthy Mom Zone (HMZ), an on-going intervention study, energy intake underreporting has been found to be an important consideration that interferes with accurate weight control assessment, and the effective use of energy balance models in an intervention setting. In this paper, a series of estimation approaches that address measurement noise and measurement losses are developed to better understand the extent of energy intake underreporting. These include back-calculating energy intake from an energy balance model developed for gestational weight gain prediction, a Kalman filtering-based approach to recursively estimate energy intake from intermittent measurements in real-time, and an approach based on semi-physical identification principles which features the capability of adjusting future self-reported energy intake by parameterizing the extent of underreporting. The three approaches are illustrated by evaluating with participant data obtained through the HMZ intervention study, with the results demonstrating the potential of these methods to promote the success of weight control. The pros and cons of the presented approaches are discussed to generate insights for users in future applications.

Dietary underreporting in women affected by polycystic ovary syndrome: A pilot study.

The first-line therapy for polycystic ovary syndrome (PCOS) is weight loss focussing on diet and regular exercise; measurement of diet and energy intake (EI) is important to determine associations between nutrients and health in women with PCOS. The EI underreporting (UR) is a condition characterised by reports of habitual EI that is implausibly low, compared with estimated requirements. This case-control study aims to evaluate UR in women with PCOS. Thirty-six women with PCOS were enrolled according to the Rotterdam criteria; 37 healthy women were enrolled as controls. age range 18-45 and body mass index ≥18.5 kg/m2 in subjects without eating disorders and/or diabetes mellitus. Nutritional assessment included: anthropometry, basal metabolic rate (BMR), weight history and physical activity assessment. Subjects completed a non-consecutive three-day dietary diary to identify energy and macronutrient intake. UR was calculated (Goldberg Index: EI/BMR). Although women with PCOS reported a significantly higher mean BMR than controls (P < 0.0001), their EI was lower (P < 0.001), suggesting an UR in 47.2% of women with PCOS versus 2.7% of controls (P < 0.0001). The EI from simple sugars was lower in women with PCOS than controls (P < 0.01). The protein intake was increased in controls than women with PCOS (P < 0.0001). Weight cycling was more frequent in women with PCOS (P < 0.001). Logistic regression analysis identified UR associated with PCOS (P = 0.001). Women with PCOS underreport foods rich in simple sugars rather than underreport their total dietary intake. These results may have implications for the interpretation of diet and health correlations in this patient population.

Male Flat Jockeys Do Not Display Deteriorations in Bone Density or Resting Metabolic Rate in Accordance With Race Riding Experience: Implications for RED-S.

Despite consistent reports of poor bone health in male jockeys, it is not yet known if this is a consequence of low energy availability or lack of an osteogenic stimulus. Given the rationale that low energy availability is a contributing factor in low bone health, we tested the hypothesis that both hip and lumbar bone mineral density (BMD) should progressively worsen in accordance with the years of riding. In a cross-sectional design, male apprentice (n = 17) and senior (n = 14) jockeys (matched for body mass and fat-free mass) were assessed for hip and lumbar spine BMD, as well as both measured and predicted resting metabolic rate (RMR). Despite differences (p < .05) in years of race riding (3.4 ± 2 vs. 16.3 ± 6.8), no differences were apparent (p > .05) in hip (-0.9 ± 1.1 vs. -0.8 ± 0.7) and lumbar Z-scores (-1.3 ± 1.4 vs. -1.5 ± 1) or measured RMR (1,459 ± 160 vs. 1,500 ± 165kcal/day) between apprentices and senior jockeys, respectively. Additionally, years of race riding did not demonstrate any significant correlations (p > .05) with either hip or lumbar spine BMD. Measured RMR was also not different (p > .05) from predicted RMR in either apprentice (1,520 ± 44kcal/day) or senior jockeys (1,505 ± 70kcal/day). When considered with previously published data examining underreporting of energy intake and direct assessments of energy expenditure, we suggest that low BMD in jockeys is not due to low energy availability per se but rather the lack of an osteogenic stimulus associated with riding.

A “Model-on-Demand” Methodology For Energy Intake Estimation to Improve Gestational Weight Control Interventions

Energy intake underreporting is a frequent concern in weight control interventions. In prior work, a series of estimation approaches were developed to better understand the issue of underreporting of energy intake; among these is an approach based on semi-physical identification principles that adjusts energy intake self-reports by obtaining a functional relationship for the extent of underreporting. In this paper, this global modeling approach is extended, and for comparison purposes, a local modeling approach based on the concept of Model-on-Demand (MoD) is developed. The local approach displays comparable performance, but involves reduced engineering effort and demands less a priori information. Cross-validation is utilized to evaluate both approaches, which in practice serves as the basis for selecting parsimonious yet accurate models. The effectiveness of the enhanced global and MoD local estimation methods is evaluated with data obtained from Healthy Mom Zone, a novel gestational weight intervention study focused on the needs of obese and overweight women.

Comparison of 3 Nutritional Questionnaires to Determine Energy Intake Accuracy in Iranian Adults.

A precision instrument is required to assess the nutritional status. This study was conducted on comparison of 3 nutritional questionnaires to determine energy intake (EI) accuracy in adults in Ravansar Non-Communicable Chronic Disease (RaNCD) cohort study. This cross-sectional study was conducted on 118 of participant's RaNCD. EI was evaluated with 3 questionnaires including food frequency questionnaire (FFQ), 24-hours recall (24HR), and food habits questionnaire (FHQ). Resting metabolic rate (RMR) was measured using indirect calorimetry. We used EI/RMR cut off to evaluate EI reporting status. The mean ± standard deviation of age in men and women were 44.1 ± 6.5 and 43.7 ± 5.25 respectively and 50.8% of participants were men. Among 3 EI estimating questionnaires, FFQ was more accurate than 2 other questionnaires (67.8%). We observed that implausible reporters of 24HR were likely overweight (p < 0.005) but we did not observe a significant difference between EI reporting of FFQ and FHQ with participants' body composition. Our finding showed that EI underreporting of 24HR and FHQ were high. Under reporters were seemed to be overweight. Therefore, these results suggested that among 3 nutritional questionnaires the FFQ was an appropriate approach to determine EI in this population due to plausible EI reporting was higher than 2 other nutritional questionnaires (24HR and FHQ).

Factors Affecting Under-reporting of Energy Intake in the Korean Elderly Using Data from KNHANES 2013∼2015

Factors Affecting Under-reporting of Energy Intake in the Korean Elderly Using Data from KNHANES 2013∼2015