scholarly journals Dietary Intake and Clinical Response of Hospitalized Patients with Acute Diarrhea

2008 ◽  
Vol 29 (1) ◽  
pp. 25-31 ◽  
Author(s):  
Mahfuza Islam ◽  
S.K. Roy ◽  
Muktara Begum ◽  
M. Jobayer Chisti
Keyword(s):  
Food Intake ◽  
Dietary Intake ◽  
Clinical Response ◽  
Energy Intake ◽  
Acute Diarrhea ◽  
Lower Energy ◽  
Recovery Period ◽  
Severe Illness ◽  
Stool Weight ◽  
Clinical Records

Background Diarrhea and malnutrition remain major health problems among children of developing countries. During diarrhea, the patient's dietary intake and absorption of nutrients are reduced while nutritional requirements are increased. Objective To determine the relationship between food intake and clinical response during the hospital stay of patients with acute diarrhea. Methods A hospital-based longitudinal study was conducted in 118 patients with acute diarrhea aged 6 to 59 months who required treatment for at least 3 days in the in-patient ward in Dhaka Hospital of the International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR, B). Daily food intake was measured and anthropometric measurements were taken to assess nutritional status. Daily stool weight and clinical records were collected. The data were analyzed with SPSS/PC+, version 10, and EPI STAT, version 3.2.2. Results The duration of diarrhea was 50% greater in patients with lower energy intake (less than 50% of the recommended dietary allowance [RDA]) than in those with higher energy intake (6 vs. 4 days, p = <.001). Patients with lower energy intake had 22% greater stool output than those with higher energy intake (122.65 vs. 100.37 mL/kg body weight/day, p = .04). Among patients with lower energy intake, the weight-for-age and weight-for-height z-scores (WAZ and WHZ) at discharge from the hospital were higher than those at admission (−3.53±1.25 vs. −3.67±1.31 and 1.95±1.23 vs. −2.14±1.22, respectively; p = .001 for both comparisons), but these scores did not differ at admission and discharge among patients with higher energy intake. The Kaplan–Meier survival function showed that 80% of well-nourished children (WAZ ≥ −2), as compared with 58% of malnourished children (WAZ < −2), recovered by the 4th day of treatment ( p < .01). The length of the recovery period was related negatively with total energy intake ( p = <.001) and mid-upper-arm circumference ( p = .004) and positively with stool weight. Conclusions Food intake was reduced in the hospitalized children because of severe illness. Patients with lower energy intake as a percentaqe of RDA had delayed clinical recovery and higher stool output.

scholarly journals Modest changes in dietary intake across the menstrual cycle: implications for food intake research

2006 ◽  
Vol 96 (5) ◽  
pp. 888-894 ◽  
Author(s):  
M. Bryant ◽  
K. P. Truesdale ◽  
L. Dye
Keyword(s):  
Menstrual Cycle ◽  
Food Intake ◽  
Dietary Intake ◽  
Energy Intake ◽  
Primary Outcome ◽  
Cycle Phase ◽  
Dietary Interventions ◽  
Cross Sectional ◽  
Sectional Analysis ◽  
Selection Of

Food intake varies across the menstrual cycle in mammals, energy intake usually being greater in the premenstrual phase compared with the postmenstrual phase. Premenstrual increments in energy intake and a preferential selection of carbohydrate have been suggested to be greater in women with premenstrual syndrome (PMS), who may be more sensitive to cyclical hormonal or neurotransmitter fluctuations. This has direct implications for research within populations of women, especially where the primary outcome is diet or a change in energy balance. We aimed to determine whether: the premenstrual intake of energy and macronutrients differed from the postmenstrual intake; the change in intake across the menstrual cycle differed in women with PMS compared with controls; and the change in intake was related to the severity of premenstrual symptoms. We collected 3 d dietary intake data during the postmenstrual and premenstrual phases of the menstrual cycle in thirty-one women with PMS and twenty-seven control women. The consumption of energy and macronutrient intake were similar between the phases of the cycle in women with PMS. Conversely, intakes were usually greater premenstrually in control women, although not all differences were statistically significant. Exceptions were with non-milk extrinsic sugars and alcohol, which were both consumed in greater amounts in the premenstrual phase in women with PMS. Significant correlations were observed between the severity of symptoms and the change in the consumption of these nutrients. These data suggest that a consideration of the menstrual cycle phase and PMS in diet may not be warranted, especially in cross-sectional analysis, although it may need to be taken into account when examining change in intake during dietary interventions.

scholarly journals Effects of the Healthy Start randomized intervention on dietary intake among obesity-prone normal-weight children

2017 ◽  
Vol 20 (16) ◽  
pp. 2988-2997 ◽  
Author(s):  
Jeanett F Rohde ◽  
Sofus C Larsen ◽  
Lars Ängquist ◽  
Nanna J Olsen ◽  
Maria Stougaard ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Energy Intake ◽  
School Children ◽  
Diet Quality ◽  
Lower Energy ◽  
Quality Index ◽  
Intervention Group ◽  
Normal Weight ◽  
Control Group ◽  
Added Sugar

AbstractObjectiveThe study aimed to evaluate the impact of a 15-month intervention on dietary intake conducted among obesity-prone normal-weight pre-school children.DesignInformation on dietary intake was obtained using a 4 d diet record. A diet quality index was adapted to assess how well children’s diet complied with the Danish national guidelines. Linear regression per protocol and intention-to-treat analyses of differences in intakes of energy, macronutrients, fruit, vegetables, fish, sugar-sweetened beverages and diet quality index between the two groups were conducted.SettingThe Healthy Start study was conducted during 2009–2011, focusing on changing diet, physical activity, sleep and stress management to prevent excessive weight gain among Danish children.SubjectsFrom a population of 635 Danish pre-school children, who had a high birth weight (≥4000 g), high maternal pre-pregnancy BMI (≥28·0 kg/m2) or low maternal educational level (<10 years of schooling), 285 children completed the intervention and had complete information on dietary intake.ResultsChildren in the intervention group had a lower energy intake after the 15-month intervention (group means: 5·29 v. 5·59 MJ, P=0·02) compared with the control group. We observed lower intakes of carbohydrates and added sugar in the intervention group compared with the control group after the intervention (P=0·002, P=0·01).ConclusionsThe intervention resulted in a lower energy intake, particularly from carbohydrates and added sugar after 15 months of intervention, suggesting that dietary intake can be changed in a healthier direction in children predisposed to obesity.

scholarly journals Measurement of dietary intake in children

2000 ◽  
Vol 59 (2) ◽  
pp. 279-293 ◽  
Author(s):  
M. B. E. Livingstone ◽  
P. J. Robson
Keyword(s):  
Food Intake ◽  
Dietary Intake ◽  
Energy Intake ◽  
Cognitive Abilities ◽  
Weight Status ◽  
Survey Methods ◽  
Self Report ◽  
Survey Method ◽  
Distribution Analysis ◽  
Dietary Survey

When children and adolescents are the target population in dietary surveys many different respondent and observer considerations surface. The cognitive abilities required to self-report food intake include an adequately developed concept of time, a good memory and attention span, and a knowledge of the names of foods. From the age of 8 years there is a rapid increase in the ability of children to self-report food intake. However, while cognitive abilities should be fully developed by adolescence, issues of motivation and body image may hinder willingness to report. Ten validation studies of energy intake data have demonstrated that mis-reporting, usually in the direction of under-reporting, is likely. Patterns of under-reporting vary with age, and are influenced by weight status and the dietary survey method used. Furthermore, evidence for the existence of subject-specific responding in dietary assessment challenges the assumption that repeated measurements of dietary intake will eventually obtain valid data. Unfortunately, the ability to detect mis-reporters, by comparison with presumed energy requirements, is limited unless detailed activity information is available to allow the energy intake of each subject to be evaluated individually. In addition, high variability in nutrient intakes implies that, if intakes are valid, prolonged dietary recording will be required to rank children correctly for distribution analysis. Future research should focus on refining dietary survey methods to make them more sensitive to different ages and cognitive abilities. The development of improved techniques for identification of mis-reporters and investigation of the issue of differential reporting of foods should also be given priority.

Short Paper: Use of Natural Spoken Language with Automated Mapping of Self-Reported Food Intake to Food Composition Data for Low-Burden Real-Time Dietary Assessment (Preprint)

2021 ◽  
Author(s):  
Salima Taylor ◽  
Mandy Korpuski ◽  
Sai Das ◽  
Cheryl Gilhooly ◽  
Ryan Simpson ◽  
...  
Keyword(s):  
Food Intake ◽  
Dietary Intake ◽  
Energy Intake ◽  
Dietary Assessment ◽  
Spoken Language ◽  
Assessment Method ◽  
Food Composition ◽  
Short Paper ◽  
Self Monitoring ◽  
Significant Difference

BACKGROUND Self-monitoring food intake is a cornerstone of national recommendations for health, but existing applications are burdensome, which limits use. OBJECTIVE We developed and pilot tested a new app (COCO Nutritionist) that combines speech understanding technology with technologies for mapping foods to appropriate food composition codes in national databases, for lower-burden and automated nutritional analysis of self-reported dietary intake. METHODS COCO was compared with the multiple-pass, interviewer-administered 24h-recall method for assessment of energy intake. COCO was used for five consecutive days, and 24-h dietary recalls were obtained for two of the days. Participants were 35 women and men with a mean age of 28 (range 20-58) years, and mean Body Mass Index of 24 (range 17-48) kg/m2. RESULTS There was no significant difference in energy intake between values obtained by COCO and 24-h recall for days when both methods were used (2092 +/- 1044 [SD] versus 2030 +/- 687 [SD], P=0.70). There was also no differences between the methods in the percent of energy from protein, carbohydrate and fat (P=0.27-0.89), and no trend in energy intake obtained with COCO over the entire 5-day study period (p=0.186). CONCLUSIONS This first demonstration of a dietary assessment method using natural spoken language to map reported foods to food composition codes demonstrates a promising new approach to automate assessments of dietary intake. CLINICALTRIAL N/A

scholarly journals Association of Daily Dietary Intake and Inflammation Induced by Marathon Race

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Bharbara N. Passos ◽  
Mirthes C. Lima ◽  
Ana P. R. Sierra ◽  
Rodrigo A. Oliveira ◽  
Jaqueline F. S. Maciel ◽  
...  
Keyword(s):  
Food Intake ◽  
Dietary Intake ◽  
Energy Intake ◽  
Endurance Exercise ◽  
Negative Correlation ◽  
Carbohydrate Intake ◽  
Long Distance ◽  
Daily Food Intake ◽  
Marathon Race ◽  
Daily Food

Daily food intake is crucial to maintain health and determine endogenous fuel to practice endurance exercise. We investigated the association between quantity of macronutrient and micronutrient daily intake and inflammation induced by long-distance exercise. Methods. Forty-four Brazilian male amateurs’ marathon finishers from 30 to 55 years old participated in this study. Blood samples were collected 1 day before, immediately after, and 1 day and 3 days after São Paulo International Marathon. The serum levels of IL-6, IL-1β, IL-10, IL-8, IL-12p70, and TNF-α were measured to evaluate inflammation. Dietary intake was determined using a prospective method of three food records in the week before marathon race. Results. Marathon race promoted an elevation on IL-6, IL-8, IL-1-β, and IL-10 immediately after the race. The energy intake (EI), carbohydrate, fiber, folic acid, vitamin E, vitamin D, calcium, magnesium, and potassium intakes was below recommended. Immediately after the marathon race, we observed a negative correlation between IL-8 and daily EI, carbohydrate, fiber, fat, iron, calcium, potassium, and sodium intakes, and higher levels of IL-8 on runners with <3 g/kg/day of carbohydrate intake compared to runners with >5 g/kg/day. We demonstrated a positive correlation between daily carbohydrate intake and IL-10 and a negative correlation between TNF-α and % of energy intake recommended, carbohydrate and fiber intakes. Finally, runners with adequate EI had lower levels of IL-1β and TNF-α compared with low EI immediately after the race. Conclusion. Nutrition strategies to promote balanced diet in amateur runners seem to be as important as immunonutrition sports market. Daily food intake, mainly EI, electrolyte and carbohydrate intakes, may modulate exacerbated inflammation after endurance exercise.

scholarly journals Comparison of Energy Intake Determined by a Natural Spoken Language Application with 24-h Recall

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1694-1694
Author(s):  
Salima Taylor ◽  
Mandy Korpusik ◽  
Rachel Silver ◽  
Sai Krupa Das ◽  
Cheryl Gilhooly ◽  
...  
Keyword(s):  
Weight Loss ◽  
Pilot Study ◽  
Food Intake ◽  
Dietary Intake ◽  
Energy Intake ◽  
Reference Method ◽  
Spoken Language ◽  
Assessment Method ◽  
Daily Dietary Intake ◽  
Language Technology

Abstract Objectives Self-monitoring daily dietary intake is recommended for weight loss and weight loss maintenance. However, current online platforms and applications are often burdensome, which may limit use. We conducted a pilot study to evaluate the accuracy of a new application designed to self-monitor dietary intake using natural spoken language (COCO; The Conversational Calorie Counter). Methods A total of 35 participants were enrolled in this pilot study. Participants were asked to record daily dietary intake using the COCO application for a period of at least five days. Two 24-hour dietary recalls were conducted during this time, between day three and day five, and served as the reference method for evaluating total energy intake (TEI; measured in kcal). Mean two-day energy intake was calculated for each assessment method for the days when the 24-hr recall and COCO data were collected. Self-reported TEI from COCO were compared to estimates obtained from the 24-hour dietary recalls by a paired samples t-test and a Pearson's correlation coefficient. Results On average, participants consumed three meals a day and recorded six days of food intake days with COCO (range: 4 to 10 days). The mean TEI was not significantly different between the two methods (1902 ± 621 kcal by 24-hour dietary recall and 1988 ± 1033 kcal by COCO, P = 0.59). There was a significant correlation between mean TEI measured with the two methods (r = 0.45; P = 0.006). In addition, a strong correlation was observed between the number of food items logged in COCO and those recalled in the 24-hour diet recalls (r = 0.82; P &gt;0.0001). Completion of the exit survey by 28 participants indicated that 43% would definitely or probably use the application again. Conclusions These results suggest that natural spoken language technology may have utility in applications to self-monitor food intake. Additional research is required to fully elucidate the validity of COCO in estimating dietary intake. Funding Sources This research was supported by the NIH Grant # 1R21HL118347–01 (SBR and JG), Quanta Computing, Inc., and the National Defense Science and Engineering Graduate fellowship.

scholarly journals How many 24-hour recalls or food records are required to estimate usual energy and nutrient intake?

2010 ◽  
Vol 26 (11) ◽  
pp. 2101-2111 ◽  
Author(s):  
Rosângela Alves Pereira ◽  
Marina Campos Araujo ◽  
Taís de Souza Lopes ◽  
Edna Massae Yokoo
Keyword(s):  
Food Intake ◽  
Dietary Intake ◽  
Energy Intake ◽  
Metropolitan Area ◽  
Nutrient Intake ◽  
The Other ◽  
Food Record ◽  
Food Records ◽  
24 Hour Recall ◽  
Energy And Nutrient Intake

For dietary intake assessments, one needs to know the minimum 24-hour recall or food record replications that are required to estimate usual energy and nutrient intake and to classify subjects correctly according to their nutrient intake. Data from two different studies on dietary intake that were carried out with 300 adults and 169 adolescents in the Rio de Janeiro Metropolitan area, Brazil, were analyzed. To estimate the number of replications two methods were applied: one based on the variances ratio, the other based on the within-subject variance alone. The most important results found were the requirement for 14 replications for boys and men, 15 for girls, and 23 for women in order to estimate energy intake with a precision of 90%. Also four replications for boys and seven for men, girls and women are required to classify individuals' energy intake with a correlation coefficient of 0.9. Due to the within variance in food intake, a larger number of replications is required to obtain estimates of usual intakes than is needed to classify subjects according to levels of dietary intake.

scholarly journals Effect of Chia (Salvia hispanica L.) Flour on Glycemic Response and Energy Intake in Healthy Adults (P06-099-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Olivia Coelho ◽  
Daniela Rocha ◽  
Barbara Pereira da Silva ◽  
Alessandra Silva ◽  
Ana Paula Caldas ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Food Intake ◽  
Dietary Intake ◽  
Energy Intake ◽  
Repeated Measures ◽  
Normal Weight ◽  
Healthy Adults ◽  
Glycemic Response ◽  
Repeated Measures Anova ◽  
Anova Test

Abstract Objectives Postprandial glycemic control is essential in both healthy and diabetic people, as hyperglycemia predisposes to complications associated with diabetes. The consumption of fiber-rich meals help to prevent and control undesirable glycemic changes. This study aimed to evaluate the effect of one-day consumption of chia on glycemic response and energy intake in healthy adults. Methods Single-blind, randomized, crossover design study involving healthy adults, normal weight (BMI 18.5–24.9 kg/m2), euglycemic (100 mg/dL), with no diabetes family history. They attended to the laboratory after 10–12 h fasting and received either 350 ml of a shake containing 10 g of chia flour (4.44 g of fiber) or 350 ml of a control shake (1.1 g of fiber)- similar in calories and macronutrients, containing 51 g of available carbohydrate - on two non-consecutive days (washout period). At each testing day, 60 minutes after shake intake a glucose solution (25 g) was provided. Capillary blood glucose was measured in fasting state (−60 min), immediately before (0 min), and 15, 30, 45, 60, 90, 120 minutes after glucose load. In addition, food intake was assessed 24-hour dietary recall was performed after each testing day. Habitual dietary intake was estimated using the semi-quantitative QFCA. The study was approved by the Local Ethics Committee. Repeated-measures ANOVA test was used to compare habitual dietary intake and consumption after shake. Two-way repeated measures ANOVA test followed by Bonferroni's post-hoc was used to assess the differences in postprandial blood glucose. Incremental area under the curve (AUC) of postprandial glycemia was calculated using the trapezoidal rule and paired sample t-test was used to compare them. All analyses were conducted using SPSS software. Statistical significance was set as p < 0.05. Results Fifteen subjects completed the study (14 female and 1 male). Consumption of chia (10 g of chia flour) did not change the blood glucose (p > 0.05) nor food intake (p > 0.05) among adults (25 ± 1 years), euglycemic (87.88 ± 1.21 mg/dL), normal weight (21.06 ± 0.28 kg/m2 and 23.23 ± 1.19% body fat percentual). Conclusions The one-day consumption of chia flour did not affect the glycemic response and did not interfere in energy intake in healthy individuals. The long-term effect of chia should be assessed. Funding Sources CNPq, CAPES, FAPEMIG, FUNARBE, DNS-UFV. Supporting Tables, Images and/or Graphs

A comparison of the Remote Food Photography Method and the Automated Self-Administered 24-hour Dietary Assessment Tool for measuring full day dietary intake among school-aged children

2021 ◽  
pp. 1-26
Author(s):  
Traci A. Bekelman ◽  
Corby K. Martin ◽  
Susan L. Johnson ◽  
Deborah H. Glueck ◽  
Katherine A. Sauder ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Energy Intake ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Ease Of Use ◽  
Self Report ◽  
Food Photography ◽  
Photography Method

Abstract The limitations of self-report measures of dietary intake are well known. Novel, technology-based measures of dietary intake may provide a more accurate, less burdensome alternative to existing tools. The first objective of this study was to compare participant burden for two technology-based measures of dietary intake among school-age children: the Automated-Self Administered 24-hour Dietary Assessment Tool-2018 (ASA24-2018) and the Remote Food Photography Method (RFPM). The second objective was to compare reported energy intake for each method to the Estimated Energy Requirement for each child, as a benchmark for actual intake. Forty parent-child dyads participated in 2, 3-day dietary assessments: a parent proxy-reported version of the ASA24 and the RFPM. A parent survey was subsequently administered to compare satisfaction, ease of use and burden with each method. A linear mixed model examined differences in total daily energy intake (TDEI) between assessments, and between each assessment method and the EER. Reported energy intake was 379 kcal higher with the ASA24 than the RFPM (p=0.0002). Reported energy intake with the ASA24 was 231 kcal higher than the EER (p = 0.008). Reported energy intake with the RFPM did not differ significantly from the EER (difference in predicted means = −148 kcal, p = 0.09). Median satisfaction and ease of use scores were 5 out of 6 for both methods. A higher proportion of parents reported that the ASA24 was more time consuming than the RFPM (74.4% vs. 25.6%, p = 0.002). Utilization of both methods is warranted given their high satisfaction among parents.

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