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      Dietary Intake among Adolescents in a Middle-Income Country: An Outcome from the Malaysian Health and Adolescents Longitudinal Research Team Study (the MyHeARTs Study)

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          Abstract

          Optimal nutrition is essential for healthy growth during adolescence. This study aims to investigate the baseline nutritional intake of Malaysian adolescents by gender, body mass index, and places of residence, both urban and rural. A cohort study was conducted consisting of 794 adolescents (aged 13-years) attending 15 public secondary schools from the Central (Kuala Lumpur and Selangor) and Northern (Perak) Regions of Peninsular Malaysia. Qualified dietitians conducted a 7-day historical assessment of habitual food intakes. Facilitated by flipcharts and household measurement tools, detailed information on portion sizes and meal contents were recorded. Nutritionist Pro™ Diet Analysis software was also used to analyze the dietary records.The mean age of the adolescents was 12.86 ± 0.33 y; the mean energy intake was 1659.0 ± 329.6 kcal/d. Males had significantly ( P < .001) higher energy intake than females (1774.0 ± 369.8 vs 1595.2 ± 320.6 kcal/d); adolescents in rural schools consumed more energy and cholesterol ( P < .001) compared to adolescents in urban schools (1706.1 ± 377.7 kcal/d and 244.1 ± 100.2 mg/d, respectively). Obese adolescents in rural schools consumed more energy and sugar (1987.6 ± 374.0 kcal/d and 48.9 ± 23.0 g/d) (p-value <0.001).The dietary intake of normal weight versus obese adolescents differs by the location of their school. Thus, the implementation of a structured and tailored intervention is recommended to help minimize this nutritional inequality.

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          A systematic review of the validity of dietary assessment methods in children when compared with the method of doubly labeled water.

          Measuring dietary intake in children enables the assessment of nutritional adequacy of individuals and groups and can provide information about nutrients, including energy, food, and eating habits. The aim of this review was to determine which dietary assessment method(s) provide a valid and accurate estimate of energy intake by comparison with the gold standard measure, doubly labeled water (DLW). English-language articles published between 1973 and 2009 and available from common nutrition databases were retrieved. Studies were included if the subjects were children birth to age 18 years and used the DLW technique to validate reported energy intake by any other dietary assessment method. The review identified 15 cross-sectional studies, with a variety of comparative dietary assessment methods. These included a total of 664 children, with the majority having <30 participants. The majority of dietary assessment method validation studies indicated a degree of misreporting, with only eight studies identifying this to a significant level (P<0.05) compared to DLW estimated energy intake. Under-reporting by food records varied from 19% to 41% (n=5 studies) with over-reporting most often associated with 24-hour recalls (7% to 11%, n=4), diet history (9% to 14%, n=3), and food frequency questionnaires (2% to 59%, n=2). This review suggested that the 24-hour multiple pass recall conducted over at least a 3-day period that includes weekdays and weekend days and uses parents as proxy reporters is the most accurate method to estimate total energy intake in children aged 4 to 11 years, compared to total energy expenditure measured by DLW. Weighed food records provided the best estimate for younger children aged 0.5 to 4 years, whereas the diet history provided better estimates for adolescents aged≥16 years. Further research is needed in this area to substantiate findings and improve estimates of total energy expenditure in children and adolescents. Copyright © 2010 American Dietetic Association. Published by Elsevier Inc. All rights reserved.
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            Fruit and vegetable intake and risk of cardiovascular disease in US adults: the first National Health and Nutrition Examination Survey Epidemiologic Follow-up Study.

            Epidemiologic studies report inconsistent findings on the association of fruit and vegetable intake with the risk of cardiovascular disease. The objective was to examine the relation between fruit and vegetable intake and the risk of cardiovascular disease. We studied 9608 adults aged 25-74 y participating in the first National Health and Nutrition Examination Survey Epidemiologic Follow-up Study and free of cardiovascular disease at the time of their baseline examination between 1971 and 1975. Fruit and vegetable intake at baseline was measured with a food-frequency questionnaire. The incidence of and mortality from cardiovascular disease were obtained from medical records and death certificates. Over an average of 19 y, 888 strokes (218 fatal), 1786 ischemic heart disease events (639 fatal), 1145 cardiovascular disease deaths, and 2530 all-cause deaths were documented. Consuming fruit and vegetables > or = 3 times/d compared with <1 time/d was associated with a 27% lower stroke incidence [relative risk (RR): 0.73; 95% CI: 0.57, 0.95; P for trend = 0.01), a 42% lower stroke mortality (0.58; 0.33, 1.02; P for trend = 0.05), a 24% lower ischemic heart disease mortality (0.76; 0.56, 1.03; P for trend = 0.07), a 27% lower cardiovascular disease mortality (0.73; 0.58, 0.92; P for trend = 0.008), and a 15% lower all-cause mortality (0.85; 0.72, 1.00; P for trend = 0.02) after adjustment for established cardiovascular disease risk factors. We showed an inverse association of fruit and vegetable intake with the risk of cardiovascular disease and all-cause mortality in the general US population.
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              Issues in dietary intake assessment of children and adolescents.

              Studies of food habits and dietary intakes face a number of unique respondent and observer considerations at different stages from early childhood to late adolescence. Despite this, intakes have often been reported as if valid, and the interpretation of links between intake and health has been based, often erroneously, on the assumption of validity. However, validation studies of energy intake data have led to the widespread recognition that much of the dietary data on children and adolescents is prone to reporting error, mostly through under-reporting. Reporting error is influenced by body weight status and does not occur systematically across different age groups or different dietary survey techniques. It appears that the available methods for assessing the dietary intakes of children are, at best, able to provide unbiased estimates of energy intake only at the group level, while the food intake data of most adolescents are particularly prone to reporting error at both the group and the individual level. Moreover, evidence for the existence of subject-specific responding in dietary assessments challenges the assumption that repeated measurements of dietary intake will eventually obtain valid data. Only limited progress has been made in understanding the variables associated with misreporting in these age groups, the associated biases in estimating nutrient intakes and the most appropriate way to interpret unrepresentative dietary data. Until these issues are better understood, researchers should exercise considerable caution when evaluating all such data.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                17 May 2016
                2016
                : 11
                : 5
                : e0155447
                Affiliations
                [1 ]Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
                [2 ]Centre for Population Health, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
                [3 ]Department of Pediatrics, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
                University of Utah, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: HAM TTS MYJ NAAM. Performed the experiments: HAM TTS MYJ NAAM. Analyzed the data: HAM SPY LR. Contributed reagents/materials/analysis tools: HAM NAAM. Wrote the paper: HAM LR.

                ‡ These authors also contributed equally to this work.

                Article
                PONE-D-15-41845
                10.1371/journal.pone.0155447
                4871353
                27187889
                d7abeb23-720a-48e7-b740-23ee54a1ac7f
                © 2016 Abdul Majid et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 22 September 2015
                : 28 April 2016
                Page count
                Figures: 0, Tables: 5, Pages: 14
                Funding
                Funded by: University of Malaya Research Programme (RP022A-14HTM)
                Award ID: 14-376-20486
                Award Recipient :
                The study was supported by grants from the University of Malaya Research Programme (RP022A-14HTM). The post-doctoral research fellow position for this project was jointly funded by the University of Malaya and Queen’s University of Belfast. The National Medical Research Register number is 14-376-20486. Funders played no role in the study design, collection, analysis and interpretation of data, nor with the writing of this manuscript, and not with any decisions to submit for publication.
                Categories
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                People and Places
                Population Groupings
                Age Groups
                Adolescents
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Social Sciences
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                Medicine and Health Sciences
                Physiology
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                Nutrition
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                Biology and Life Sciences
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