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Whitton C, Collins CE, Mullan BA, Rollo ME, Dhaliwal SS, Norman R, Boushey CJ, Delp EJ, Zhu F, McCaffrey TA, Kirkpatrick SI, Pollard CM, Healy JD, Hassan A, Garg S, Atyeo P, Mukhtar SA, Kerr DA. Accuracy of energy and nutrient intake estimation versus observed intake using 4 technology-assisted dietary assessment methods: a randomized crossover feeding study. Am J Clin Nutr 2024; 120:196-210. [PMID: 38710447 PMCID: PMC11347807 DOI: 10.1016/j.ajcnut.2024.04.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 03/28/2024] [Accepted: 04/29/2024] [Indexed: 05/08/2024] Open
Abstract
BACKGROUND Technology-assisted 24-h dietary recalls (24HRs) have been widely adopted in population nutrition surveillance. Evaluations of 24HRs inform improvements, but direct comparisons of 24HR methods for accuracy in reference to a measure of true intake are rarely undertaken in a single study population. OBJECTIVES To compare the accuracy of energy and nutrient intake estimation of 4 technology-assisted dietary assessment methods relative to true intake across breakfast, lunch, and dinner. METHODS In a controlled feeding study with a crossover design, 152 participants [55% women; mean age 32 y, standard deviation (SD) 11; mean body mass index 26 kg/m2, SD 5] were randomized to 1 of 3 separate feeding days to consume breakfast, lunch, and dinner, with unobtrusive weighing of foods and beverages consumed. Participants undertook a 24HR the following day [Automated Self-Administered Dietary Assessment Tool-Australia (ASA24); Intake24-Australia; mobile Food Record-Trained Analyst (mFR-TA); or Image-Assisted Interviewer-Administered 24-hour recall (IA-24HR)]. When assigned to IA-24HR, participants referred to images captured of their meals using the mobile Food Record (mFR) app. True and estimated energy and nutrient intakes were compared, and differences among methods were assessed using linear mixed models. RESULTS The mean difference between true and estimated energy intake as a percentage of true intake was 5.4% (95% CI: 0.6, 10.2%) using ASA24, 1.7% (95% CI: -2.9, 6.3%) using Intake24, 1.3% (95% CI: -1.1, 3.8%) using mFR-TA, and 15.0% (95% CI: 11.6, 18.3%) using IA-24HR. The variances of estimated and true energy intakes were statistically significantly different for all methods (P < 0.01) except Intake24 (P = 0.1). Differential accuracy in nutrient estimation was present among the methods. CONCLUSIONS Under controlled conditions, Intake24, ASA24, and mFR-TA estimated average energy and nutrient intakes with reasonable validity, but intake distributions were estimated accurately by Intake24 only (energy and protein). This study may inform considerations regarding instruments of choice in future population surveillance. This trial was registered at Australian New Zealand Clinical Trials Registry as ACTRN12621000209897.
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Affiliation(s)
- Clare Whitton
- Curtin School of Population Health, Curtin University, Kent Street, GPO Box U1987, Perth 6845, WA, Australia; Curtin Health Innovation Research Institute, Curtin University, Kent Street, GPO Box U1987, Perth 6845, Australia; School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup WA 6027, Australia.
| | - Clare E Collins
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, Australia; Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, Newcastle, Australia.
| | - Barbara A Mullan
- Curtin School of Population Health, Curtin University, Kent Street, GPO Box U1987, Perth 6845, WA, Australia; Enable Institute, Curtin University, Perth, Australia.
| | - Megan E Rollo
- Curtin School of Population Health, Curtin University, Kent Street, GPO Box U1987, Perth 6845, WA, Australia; School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, Australia.
| | - Satvinder S Dhaliwal
- Curtin Health Innovation Research Institute, Curtin University, Kent Street, GPO Box U1987, Perth 6845, Australia; Obstetrics & Gynaecology Academic Clinical Program, Duke-NUS Medical School, National University of Singapore, 8 College Rd, 169857, Singapore; Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Pulau Pinang, Malaysia; Singapore University of Social Sciences, 463 Clementi Road, 599494, Singapore.
| | - Richard Norman
- Curtin School of Population Health, Curtin University, Kent Street, GPO Box U1987, Perth 6845, WA, Australia; Enable Institute, Curtin University, Perth, Australia.
| | - Carol J Boushey
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
| | - Edward J Delp
- School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States.
| | - Fengqing Zhu
- School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States.
| | - Tracy A McCaffrey
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Australia.
| | | | - Christina M Pollard
- Curtin School of Population Health, Curtin University, Kent Street, GPO Box U1987, Perth 6845, WA, Australia; Curtin Health Innovation Research Institute, Curtin University, Kent Street, GPO Box U1987, Perth 6845, Australia; Enable Institute, Curtin University, Perth, Australia.
| | - Janelle D Healy
- Curtin School of Population Health, Curtin University, Kent Street, GPO Box U1987, Perth 6845, WA, Australia; Curtin Health Innovation Research Institute, Curtin University, Kent Street, GPO Box U1987, Perth 6845, Australia.
| | - Amira Hassan
- Curtin School of Population Health, Curtin University, Kent Street, GPO Box U1987, Perth 6845, WA, Australia; Curtin Health Innovation Research Institute, Curtin University, Kent Street, GPO Box U1987, Perth 6845, Australia.
| | - Shivangi Garg
- Curtin School of Population Health, Curtin University, Kent Street, GPO Box U1987, Perth 6845, WA, Australia.
| | - Paul Atyeo
- Health Section, Health and Disability Branch, Australian Bureau of Statistics, Canberra, Australia.
| | - Syed Aqif Mukhtar
- Curtin School of Population Health, Curtin University, Kent Street, GPO Box U1987, Perth 6845, WA, Australia.
| | - Deborah A Kerr
- Curtin School of Population Health, Curtin University, Kent Street, GPO Box U1987, Perth 6845, WA, Australia; Curtin Health Innovation Research Institute, Curtin University, Kent Street, GPO Box U1987, Perth 6845, Australia.
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Alkhaldy AA, Aljaadi AM, Jalil AMM, Alyoubi DA, Saleemani HH, Eid RH, Almohmadi NH, Al-Otaibi HH, Ajabnoor SM. Cross-continental national nutrition surveys: a narrative review. BMC Nutr 2024; 10:63. [PMID: 38649978 PMCID: PMC11034115 DOI: 10.1186/s40795-024-00868-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 04/11/2024] [Indexed: 04/25/2024] Open
Abstract
Many countries use national nutrition surveys (NNSs) to assess their population's health and nutrition needs. However, NNS aims, approaches, tools, and measurements vary among countries. To date, there has been no review evaluating the NNSs and their practices worldwide to help conduct future NSSs. Therefore, this narrative review was conducted to 1) explore and tabulate current NNSs in five continents (Asia, Europe, Africa, North America, and Australia) and 2) help lay the foundation for establishing clear guidelines for future NNSs. The NNSs were identified using two approaches. First, an electronic database search was conducted with key terms in PubMed database. Second, a general web-based search on the survey webpages of governmental organizations was conducted using the same key terms to identify eligible surveys. The review included general adult population (≥ 18 years) with a cross-sectional design, excluding NNSs related to household-only surveys, specific age groups, or insufficient sample sizes. A total of 41 NNSs were identified in 37 countries across four continents: Asia (n = 15), Europe (n = 21), North America (n = 3), and Australia (n = 2). Broad differences between the surveys were identified, including survey purposes and designs, definitions of geographic areas and target groups, and dietary assessments. Currently, there are 26 ongoing NNSs, while 15 have ended. Among the ongoing NNSs, the cycles of the surveys were either at regular intervals (n = 8) or irregular intervals (n = 8). Of the 41 surveys, 24-h dietary recalls were used in 27 surveys, while only 6 surveys used diet diaries and 8 surveys relied on FFQs. Some surveys (n = 17) utilized multiple tools to assess dietary intake. Most of the surveys that assessed biochemical status (n = 12) focused on blood glucose, haemoglobin A1c (HbA1c), and lipid status, whereas some surveys (n = 6) tested for vitamin and mineral status in blood and/or urine samples. The review identified key characteristics, time frames, sampling methods, and dietary and physical assessment methods obtained from different surveys worldwide. The information organized in this review will be important for researchers, policymakers, and public health programme developers in developing and improving NNS.
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Affiliation(s)
- Areej A Alkhaldy
- Department of Clinical Nutrition, Faculty of Applied Medical Sciences, King Abdulaziz University, P.O. Box 80215, Jeddah, 21589, Saudi Arabia.
| | - Abeer M Aljaadi
- Department of Clinical Nutrition, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, 21955, Saudi Arabia
| | - Abbe M Mhd Jalil
- School of Nutrition & Dietetics, Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Kuala Nerus, Terengganu, 21300, Malaysia
| | - Doaa A Alyoubi
- Department of Clinical Nutrition, Faculty of Applied Medical Sciences, King Abdulaziz University, P.O. Box 80215, Jeddah, 21589, Saudi Arabia
| | - Haneen H Saleemani
- Department of Clinical Nutrition, Faculty of Applied Medical Sciences, King Abdulaziz University, P.O. Box 80215, Jeddah, 21589, Saudi Arabia
| | - Ruba H Eid
- Department of Clinical Nutrition, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, 21955, Saudi Arabia
| | - Najlaa H Almohmadi
- Department of Clinical Nutrition, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, 21955, Saudi Arabia
| | - Hala H Al-Otaibi
- Department of Food and Nutrition Science, College of Agricultural and Food Science, King Faisal University, Al-Ahsa, 31982, Saudi Arabia
| | - Sarah M Ajabnoor
- Department of Clinical Nutrition, Faculty of Applied Medical Sciences, King Abdulaziz University, P.O. Box 80215, Jeddah, 21589, Saudi Arabia
- Food, Nutrition and Lifestyle Unit, King Fahd Medical Research Centre, King Abdulaziz University, Jeddah, Saudi Arabia
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Rodrigues PRM, Monteiro LS, Vasconcelos TMD, Gomes LEDS, Alves IA, Baltar VT, Gorgulho BM, Yokoo EM, Sichieri R, Pereira RA. How many meals and snacks do Brazilians eat a day? Findings from the 2017-2018 Brazilian National Dietary Survey. CAD SAUDE PUBLICA 2024; 40:e00009923. [PMID: 38381863 PMCID: PMC10877696 DOI: 10.1590/0102-311xen009923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 10/19/2023] [Accepted: 10/24/2023] [Indexed: 02/23/2024] Open
Abstract
The habit of eating specific meals has been addressed in several studies, but the evaluation of meal patterns has received less attention. This study aimed to describe the meal patterns of the Brazilian population. A complex sampling design was used to select the 46,164 ≥ 10-year-old individuals examined in the Brazilian National Dietary Survey. Food consumption was assessed by two non-consecutive 24-hour recalls applied throughout a one-week period. The exploratory data analysis approach was used to determine the meal patterns, i.e., how individuals combined the main meals (breakfast, lunch, dinner) and snacks (morning, afternoon, evening/night) throughout the day. The most common meal patterns were three main meals + one snack, reported by 25.1% of the individuals, and three main meals + two snacks (24.6%). Other meal patterns identified were: three main meals + three snacks (18.5%); three main meals and no snacks (10.9%); one or two main meals + two snacks (7.4%); one or two main meals + one snack (6.9%); one or two main meals + three snacks (4.2%); and one or two main meals and no snacks (2.3%). Meal patterns varied according to gender and age group, and on typical versus atypical food consumption days. We found that eight patterns characterized the daily meal consumption in Brazil. Furthermore, around 80% of the population had three main meals every day and about 13% did not report having any snacks. The characterization of meal habits is important for tailoring and targeting health promotion actions.
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Affiliation(s)
| | | | | | | | - Iuna Arruda Alves
- Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brasil
| | | | | | - Edna Massae Yokoo
- Instituto de Saúde Coletiva, Universidade Federal Fluminense, Niterói, Brasil
| | - Rosely Sichieri
- Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brasil
| | - Rosangela Alves Pereira
- Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brasil
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Ocké M, Dinnissen CS, van den Bogaard C, Beukers M, Drijvers J, Sanderman-Nawijn E, van Rossum C, Toxopeus I. A Smartphone Food Record App Developed for the Dutch National Food Consumption Survey: Relative Validity Study. JMIR Mhealth Uhealth 2024; 12:e50196. [PMID: 38335009 PMCID: PMC10891498 DOI: 10.2196/50196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 10/09/2023] [Accepted: 12/01/2023] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND In the Dutch National Food Consumption Survey, dietary intake has been assessed since 2003 through 24-hour dietary recalls using the GloboDiet software. A new self-administered smartphone food record app called DitEetIk! was developed for potential use in future surveys. OBJECTIVE This study aims to evaluate the data collected using the DitEetIk! app and its relative validity for food group, energy, and nutrient intake compared with the previous dietary assessment method (GloboDiet 24-hour dietary recalls). METHODS A total of 300 participants aged 18 to 79 years were recruited from a consumer panel. Participants were asked to keep a record of their consumption using the DitEetIk! app on 3 nonconsecutive days. Trained dietitians conducted a 24-hour dietary recall interview by telephone using the GloboDiet software (International Agency for Research on Cancer) regarding 1 of 3 DitEetIk! recording days. Nutrient intake was calculated using the NEVO database (version 2021/7.0). Relative validity was studied by comparing data from GloboDiet 24-hour dietary recalls and the DitEetIk app for the same day. Participants with implausible records, defined as days with energy intake of <0.6 or >3.0 basal metabolic rate, were excluded from the analyses. For 19 food groups and 29 nutrients, differences in median intake were assessed using the Wilcoxon signed rank test, and Spearman correlation coefficients were calculated. Bland-Altman plots with mean differences and 95% limits of agreement were created for energy intake and the contribution to energy intake from fat, carbohydrates, and protein. RESULTS A total of 227 participants completed a combination of a DitEetIk! app recording day and a 24-hour dietary recall interview for the same day. Of this group, 211 participants (n=104, 49.3% men and n=107, 50.7% women) had plausible recording days. Of all recorded food items, 12.8% (114/894) were entered via food barcode scanning, and 18.9% (169/894) were searched at the brand level. For 31% (5/16) of the food groups, the median intake assessed using the DitEetIk! app was >10% lower than that assessed using 24-hour dietary recalls; this was the case for fruit (P=.005), added fats (P=.001), milk and milk products (P=.02), cereal products (P=.01), and sauces (P<.001). This was also the case for 14% (4/29) of the nutrients (all P<.001). Regarding mean intake, differences were generally smaller. Regarding energy intake, the mean difference and 95% limits of agreement were 14 kcal (-1096 to 1124). Spearman correlation coefficients between intake assessed using the DitEetIk! app and 24-hour dietary recalls ranged from 0.48 to 0.88 (median 0.78) for food groups and from 0.58 to 0.90 (median 0.72) for nutrients. CONCLUSIONS Compared with GloboDiet 24-hour dietary recalls, the DitEetIk! app assessed similar mean energy intake levels but somewhat lower median intake levels for several food groups and nutrients.
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Affiliation(s)
- Marga Ocké
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | | | | | - Marja Beukers
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - José Drijvers
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | | | - Caroline van Rossum
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Ido Toxopeus
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
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Vasileiou A, Searle D, Larsen SC, Magkos F, Horgan G, Stubbs RJ, Santos I, Palmeira AL, Heitmann BL. Comparing self-reported energy intake using an online dietary tool with energy expenditure by an activity tracker. Nutrition 2024; 118:112258. [PMID: 38007995 DOI: 10.1016/j.nut.2023.112258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 09/18/2023] [Accepted: 10/01/2023] [Indexed: 11/28/2023]
Abstract
OBJECTIVE The aim of this study was to compare self-reported total energy intake (TEI) collected using an online multiple-pass 24-h dietary recall tool (Intake24) with total energy expenditure (TEE) estimated from Fitbit Charge 2-improved algorithms in adults from the NoHoW trial (12-mo weight maintenance after free-living weight loss). METHODS Bland-Altman plots were used to assess the level of agreement between TEI and TEE at baseline and after 12 mo. The ratio of TEI to TEE was also calculated. RESULTS Data from 1323 participants (71% female) was included in the analysis (mean ± SD: age 45 ± 12 y, body mass index 29.7 ± 5.4 kg/m2, initial weight loss 11.5 ± 6.5 kg). The TEI was lower than TEE on average by 33%, with limits of agreement ranging from -91% to +25%. Men, younger individuals, those with higher body mass index, those with the greater weight loss before enrollment, and those who gained weight during the study underestimated to a greater extent. CONCLUSIONS These findings contribute to the ongoing research examining the validity of technology-based dietary assessment tools.
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Affiliation(s)
| | - Dominique Searle
- The Parker Institute, Research Unit for Dietary Studies, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Sofus C Larsen
- The Parker Institute, Research Unit for Dietary Studies, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark; The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Faidon Magkos
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Graham Horgan
- BioSS, Biomathematics and Statistics Scotland, Aberdeen, United Kingdom
| | - R James Stubbs
- School of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds, United Kingdom
| | - Inês Santos
- Laboratório de Nutrição, Faculdade de Medicina, Centro Académico de Medicina de Lisboa, Universidade de Lisboa, Lisbon, Portugal; Instituto de Saúde Ambiental (ISAMB), Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal; CIDEFES, Universidade Lusófona, Lisbon, Campo Grande, Lisbon, Portugal
| | - António L Palmeira
- CIDEFES, Universidade Lusófona, Lisbon, Campo Grande, Lisbon, Portugal; CIFI2D, Universidade do Porto, Porto, Portugal
| | - Berit L Heitmann
- The Parker Institute, Research Unit for Dietary Studies, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark; The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; The Boden Group, The Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Australia
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Koshida E, Tajima R, Matsumoto M, Takimoto H. Global Comparison of Nutrient Reference Values, Current Intakes, and Intake Assessment Methods for Sodium among the Adult Population. J Nutr Sci Vitaminol (Tokyo) 2023; 69:38-45. [PMID: 36858539 DOI: 10.3177/jnsv.69.38] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Abstract
Excess sodium intake is a risk factor for non-communicable diseases (NCDs), such as cardiovascular diseases and hypertension. Therefore, many countries have set nutrient reference values for sodium, specifically for the prevention of NCDs, and intake is routinely monitored by nutrition surveys. In this review, we aimed to compare the global nutrient reference values and national intakes of sodium, along with the methods of intake assessment used. Data were obtained for Australia, Canada, Ireland, Japan, the UK, the US, and the European Food Safety Authority (EFSA), where information was accessible online in English or Japanese. We collected the following information regarding sodium intake: the term used for reference values to prevent NCDs; year when reference values were established or revised; reference values to prevent NCDs; target NCDs; designation of nutrition survey; method for estimating intake; and average intake. The reference values ranged from 2,000 mg (Australia and EFSA) to 2,953 mg (Japan). Sodium intake ranged from 2,431 mg (Australia) to 3,958 mg (Japan). Out of seven countries/institutions, five used dietary assessment, and two used sodium urinary excretion for estimating dietary sodium intake. Among the dietary assessment methods, the 24-h dietary recall was most frequently used. National sodium intake exceeded the reference values in all countries, and reduction of sodium intake remains a global challenge.
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Affiliation(s)
- Emiko Koshida
- Department of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition
| | - Ryoko Tajima
- Department of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition
| | - Mai Matsumoto
- Department of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition
| | - Hidemi Takimoto
- Department of Nutritional Epidemiology and Shokuiku, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition
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Mavragani A, Al Hourani H, Alkhatib B, Alboqai O, AlHalaika D, Al-Jawaldeh A. Jordan's Population-Based Food Consumption Survey: Protocol for Design and Development. JMIR Res Protoc 2023; 12:e41636. [PMID: 36800239 PMCID: PMC9984996 DOI: 10.2196/41636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 01/28/2023] [Accepted: 01/28/2023] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND One of the factors influencing health and well-being is dietary patterns. Data on food consumption are necessary for evaluating and developing community nutrition policies. Few studies on Jordanians' food consumption and dietary habits at various ages have been conducted, despite the increased prevalence of overweight, obesity, and chronic diseases. This will be the first study focusing on Jordanians' food consumption patterns that includes children, adolescents, adults, and older adults. OBJECTIVE This cross-sectional study aims to describe the design and methodology of the Jordan's Population-based Food Consumption Survey, 2021-2022, which was developed to collect data on food consumption, including energy, nutrients, and food group intake, from a representative sample of Jordanians and to determine the prevalence of overweight and obesity and their relationship to food consumption. METHODS Participants were selected by stratified random sampling, using the Estimated Population of the Kingdom by Governorate, Locality, Sex, and Households, 2020 as the sampling frame. The food consumption survey sample was at the population level, representing gender and age classes (8-85 years old). The data collection period was 6 months. Food consumption was assessed using 24-hour dietary recall (2 nonconsecutive days, 1 week apart) interviews representing weekdays and weekends. In addition to data on food consumption, information on the use of food supplements, sociodemographic and socioeconomic status, and health was gathered. Weight, height, and waist circumference were all measured. RESULTS The survey included 632 households with 2145 participants, of which 243 (11.3%) were children, 374 (17.4%) were adolescents, 1428 (66.6%) were adults, and 99 (4.6%) were older adults. Three food consumption databases were used to stratify the mean 24-hour dietary recall food consumption into energy intake, carbohydrates, proteins, fats, fiber, vitamins and minerals, and food groups. BMI was calculated and classified as normal, overweight, or obese. Central obesity was classified as normal or abnormal based on the waist-to-height ratio. The survey results will be disseminated based on age, energy, nutrient, and food group consumption. The prevalence of overweight and obesity by age group will be presented, as well as a comparison to the situation in Eastern Mediterranean countries. CONCLUSIONS The survey data will be helpful in nutritional studies, assessing changes in dietary patterns, and developing and evaluating nutrition or health policies. It will be a solid base for developing a future national surveillance system on food consumption patterns with comprehensive food consumption, physical activity, biochemical, and blood pressure data. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/41636.
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Affiliation(s)
| | - Huda Al Hourani
- Department of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan
| | - Buthaina Alkhatib
- Department of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan
| | - Omar Alboqai
- Department of Nutrition and Food Science, Faculty of Agriculture and Sciences, Jerash University, Jerash, Jordan
| | - Dima AlHalaika
- Department of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan
| | - Ayoub Al-Jawaldeh
- Regional Office for the Eastern Mediterranean, World Health Organization, Cairo, Egypt
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Smith KG, Scheelbeek P, Balmford A, Alexander P, Garnett EE. Discrepancies between two long-term dietary datasets in the United Kingdom (UK). Wellcome Open Res 2023; 6:350. [PMID: 36176332 PMCID: PMC9494176 DOI: 10.12688/wellcomeopenres.17245.3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/19/2022] [Indexed: 01/12/2023] Open
Abstract
Background: Studying dietary trends can help monitor progress towards healthier and more sustainable diets but longitudinal data are often confounded by lack of standardized methods. Two main data sources are used for longitudinal analysis of diets: food balance sheets on food supply (FBS) and household budget surveys on food purchased (HBS). Methods: We used UK longitudinal dietary data on food supply, provided by the Food and Agriculture Organisation (FAO) (FAO-FBS, 1961-2018), and food purchases, provided by the Department for Environment, Food and Rural Affairs (Defra) (Defra-HBS, 1942-2018). We assessed how trends in dietary change per capita compared between FAO-FBS and Defra-HBS for calories, meat and fish, nuts and pulses, and dairy, and how disparities have changed over time. Results: Estimates made by FAO-FBS were significantly higher (p<0.001) than Defra-HBS for calorie intake and all food types, except nuts and pulses which were significantly lower (p<0.001). These differences are partly due to inclusion of retail waste in FAO-FBS data and under-reporting in Defra- HBS data. The disparities between the two datasets increased over time for calories, meat and dairy; did not change for fish; and decreased for nuts and pulses. Between 1961 and 2018, both FAO-FBS and Defra-FBS showed an increase in meat intake (+23.4% and +1.4%, respectively) and a decrease in fish (-7.1% and -3.2%, respectively). Temporal trends did not agree between the two datasets for dairy, calories, and nuts and pulses. Conclusions: Our finding raises questions over the robustness of both data sources for monitoring UK dietary change, especially when used for evidence-based decision making around health, climate change and sustainability.
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Affiliation(s)
- Kerry G. Smith
- Department of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK,
| | - Pauline Scheelbeek
- Centre on Climate Change & Planetary Health, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Andrew Balmford
- Department of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK
| | - Peter Alexander
- School of Geosciences, University of Edinburgh, Drummond Street, Edinburgh, EH8 9XP, UK,Global Academy of Agriculture and Food Security, The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK
| | - Emma E. Garnett
- Department of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK,Cambridge Institute for Sustainability Leadership, University of Cambridge, Cambridge, CB2 1QA, UK
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Smith KG, Scheelbeek P, Balmford A, Alexander P, Garnett EE. Discrepancies between two long-term dietary datasets in the United Kingdom (UK). Wellcome Open Res 2023; 6:350. [PMID: 36176332 PMCID: PMC9494176 DOI: 10.12688/wellcomeopenres.17245.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/08/2022] [Indexed: 12/04/2022] Open
Abstract
Background: Studying dietary trends can help monitor progress towards healthier and more sustainable diets but longitudinal data are often confounded by lack of standardized methods. Two main data sources are used for longitudinal analysis of diets: food balance sheets on food supply (FBS) and household budget surveys on food purchased (HBS). Methods: We used UK longitudinal dietary data on food supply, provided by the Food and Agriculture Organisation (FAO) (FAO-FBS, 1961-2018), and food purchases, provided by the Department for Environment, Food and Rural Affairs (Defra) (Defra-HBS, 1942-2018). We assessed how trends in dietary change per capita compared between FAO-FBS and Defra-HBS for calories, meat and fish, nuts and pulses, and dairy, and how disparities have changed over time. Results: Estimates made by FAO-FBS were significantly higher (p<0.001) than Defra-HBS for calorie intake and all food types, except nuts and pulses which were significantly lower (p<0.001). These differences are partly due to inclusion of retail waste in FAO-FBS data and under-reporting in Defra- HBS data. The disparities between the two datasets increased over time for calories, meat and dairy; did not change for fish; and decreased for nuts and pulses. Between 1961 and 2018, both FAO-FBS and Defra-FBS showed an increase in meat intake (+11.5% and +1.4%, respectively) and a decrease in fish (-3.3% and -3.2%, respectively) and dairy intake (-11.2% and -22.4%). Temporal trends did not agree between the two datasets for calories, and nuts and pulses. Conclusions: Our finding raises questions over the robustness of both data sources for monitoring UK dietary change, especially when used for evidence-based decision making around health, climate change and sustainability.
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Affiliation(s)
- Kerry G. Smith
- Department of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK,
| | - Pauline Scheelbeek
- Centre on Climate Change & Planetary Health, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Andrew Balmford
- Department of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK
| | - Peter Alexander
- School of Geosciences, University of Edinburgh, Drummond Street, Edinburgh, EH8 9XP, UK,Global Academy of Agriculture and Food Security, The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK
| | - Emma E. Garnett
- Department of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK,Cambridge Institute for Sustainability Leadership, University of Cambridge, Cambridge, CB2 1QA, UK
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10
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Smith KG, Scheelbeek P, Balmford A, Alexander P, Garnett EE. Discrepancies between two long-term dietary datasets in the United Kingdom (UK). Wellcome Open Res 2023; 6:350. [PMID: 36176332 PMCID: PMC9494176 DOI: 10.12688/wellcomeopenres.17245.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/03/2021] [Indexed: 11/20/2022] Open
Abstract
Background: Studying dietary trends can help monitor progress towards healthier and more sustainable diets but longitudinal data are often confounded by lack of standardized methods. Two main data sources are used for longitudinal analysis of diets: food balance sheets on food supply (FBS) and household budget surveys on food purchased (HBS). Methods: We used UK longitudinal dietary data on food supply, provided by the Food and Agriculture Organisation (FAO) (FAO-FBS, 1961-2018), and food purchases, provided by Defra (Defra-HBS, 1942-2018). We assessed how trends in dietary change per capita compared between FAO-FBS and Defra-HBS for calories, meat and fish, nuts and pulses, and dairy, and how disparities have changed over time. Results: FAO-FBS estimates were significantly higher (p<0.001) than Defra-HBS for calorie intake and all food types, except nuts and pulses which were significantly lower (p<0.001). These differences are partly due to inclusion of retail waste in FAO-FBS data and under-reporting in Defra- HBS data. The disparities between the two datasets increased over time for calories, meat and dairy; did not change for fish; and decreased for nuts and pulses . Between 1961 and 2018, both FAO-FBS and Defra-FBS showed an increase in meat intake (+11.5% and +1.4%, respectively) and a decrease in fish (-3.3% and -3.2%, respectively) and dairy intake (-11.2% and -22.4%). Temporal trends did not agree between the two datasets for calories, and nuts and pulses. Conclusions: Our finding raises questions over the robustness of both data sources for monitoring UK dietary change, especially when used for evidence-based decision making around health, climate change and sustainability.
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Affiliation(s)
- Kerry G. Smith
- Department of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK,
| | - Pauline Scheelbeek
- Centre on Climate Change & Planetary Health, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Andrew Balmford
- Department of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK
| | - Peter Alexander
- School of Geosciences, University of Edinburgh, Drummond Street, Edinburgh, EH8 9XP, UK,Global Academy of Agriculture and Food Security, The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK
| | - Emma E. Garnett
- Department of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK,Cambridge Institute for Sustainability Leadership, University of Cambridge, Cambridge, CB2 1QA, UK
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11
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Mackenzie KM, Kerr DA, Whitton C, Talati Z, McCaffrey TA, Mullan BA. Predicting Perceived Problems in Self-Administered 24-Hour Dietary Recalls: A Quantitative Think-Aloud Study Comparing Automated Self-Assisted 24-Hour Dietary Assessment Tool (ASA24 ®) and INTAKE24© in University Students. Nutrients 2022; 14:nu14204281. [PMID: 36296964 PMCID: PMC9607278 DOI: 10.3390/nu14204281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 10/03/2022] [Accepted: 10/05/2022] [Indexed: 11/26/2022] Open
Abstract
Demographic and psychosocial factors concerning dietary assessment error have been explored, but few studies have investigated the perceived problems experienced when completing dietary recalls. The aim of this research was to (i) compare the perceived problems encountered in two commonly used self-administered 24-hour dietary recall (24HR) programs (INTAKE24© and ASA24®) and (ii) explore whether mindful and habitual eating are associated with perceived problems during dietary recall. A randomised quantitative crossover design and think-aloud methodology were employed. Undergraduate university students (N = 55, Mage = 25.5, SD = 8.2, 75% female) completed a food habits and mindfulness questions pre-program, one 24HR (whilst thinking aloud), and a systems usability scale post-program. A week later, they completed the other 24HR (whilst thinking aloud). During a pilot, a coding frame of perceived problems was devised to quantify participants’ perceived problems. INTAKE24© generated significantly fewer perceived problems across all categories compared to ASA24® (17.2 vs. 33.1, p < 0.001). Of the participants, 68% reported a preference for INTAKE24© over ASA24®. Hierarchical multiple regression showed that habits and systems usability were significant predictors of perceived problems for INTAKE24© only. No significant predictors were found for ASA24®. The results provide insight into perceived problems people may encounter when using 24HR tools.
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Affiliation(s)
- Katlyn M. Mackenzie
- Curtin School of Population Health, Curtin University, Kent Street, Perth 6845, Australia
- Enable Institute, Curtin University, Kent Street, Perth 6845, Australia
| | - Deborah A. Kerr
- Curtin School of Population Health, Curtin University, Kent Street, Perth 6845, Australia
- Curtin Health Innovation Research Institute, Curtin University, Kent Street, Perth 6845, Australia
| | - Clare Whitton
- Curtin School of Population Health, Curtin University, Kent Street, Perth 6845, Australia
- Curtin Health Innovation Research Institute, Curtin University, Kent Street, Perth 6845, Australia
| | - Zenobia Talati
- Curtin School of Population Health, Curtin University, Kent Street, Perth 6845, Australia
| | - Tracy A. McCaffrey
- Department of Nutrition and Dietetics, Monash University, 264 Ferntree Gully Road, Notting Hill 3168, Australia
| | - Barbara A. Mullan
- Curtin School of Population Health, Curtin University, Kent Street, Perth 6845, Australia
- Enable Institute, Curtin University, Kent Street, Perth 6845, Australia
- Correspondence:
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12
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Gregorič M, Hristov H, Blaznik U, Koroušić Seljak B, Delfar N, Pravst I. Dietary Intakes of Slovenian Adults and Elderly: Design and Results of the National Dietary Study SI.Menu 2017/18. Nutrients 2022; 14:nu14173618. [PMID: 36079875 PMCID: PMC9460239 DOI: 10.3390/nu14173618] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 08/25/2022] [Accepted: 08/29/2022] [Indexed: 11/16/2022] Open
Abstract
Incomparable and insufficiently detailed information on dietary intakes are common challenges associated with dietary assessment methods. Being a European Union country, Slovenia is expected to conduct national food consumption studies in line with harmonised EU Menu methodology. The present study aimed to describe the methodology and protocols in the Slovenian nationally representative dietary survey SI.Menu 2017/18, and to assess population dietary habits with respect to food consumption and energy and macronutrient intakes. While the study targeted various population groups, this report is focused on adults. A representative sample of participants was randomly selected from the Central Register of Population according to sex, age classes and place of residency, following a two-stage stratified sampling procedure. Information on food consumption was collected with two non-consecutive 24-h dietary recalls using a web-based Open Platform for Clinical Nutrition (OPEN) software. Data were complemented with a food propensity questionnaire to adjust for usual intake distribution. Altogether, 364 adults (18–64 years) and 416 elderlies (65–74 years) were included in the data analyses. Study results highlighted that observed dietary patterns notably differ from food-based dietary guidelines. Typical diets are unbalanced due to high amounts of consumed meat and meat products, foods high in sugar, fat and salt, and low intake of fruits and vegetables and milk and dairy products. Consequently, the energy proportion of carbohydrates, proteins, and to some extent, free sugars and total fats, as well as intake of dietary fibre and total water deviates from the reference values. Age and sex were significantly marked by differences in dietary intakes, with particularly unfavourable trends in adults and men. Study results call for adoption of prevention and public health intervention strategies to improve dietary patterns, taking into account population group differences. In addition, all developed protocols and tools will be useful for further data collection, supporting regular dietary monitoring systems and trend analyses.
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Affiliation(s)
- Matej Gregorič
- Health Survey and Health Promotion Centre, National Institute of Public Health, Trubarjeva Cesta 2, SI-1000 Ljubljana, Slovenia
- Correspondence: ; Tel.: +386-1-2441-496
| | - Hristo Hristov
- Nutrition Institute, Tržaška Cesta 40, SI-1000 Ljubljana, Slovenia
| | - Urška Blaznik
- Health Survey and Health Promotion Centre, National Institute of Public Health, Trubarjeva Cesta 2, SI-1000 Ljubljana, Slovenia
| | - Barbara Koroušić Seljak
- Computer Systems Department, Jožef Stefan Institute, Jamova Ulica 39, SI-1000 Ljubljana, Slovenia
| | - Nataša Delfar
- Health Data Centre, National Institute of Public Health, Trubarjeva Cesta 2, SI-1000 Ljubljana, Slovenia
| | - Igor Pravst
- Nutrition Institute, Tržaška Cesta 40, SI-1000 Ljubljana, Slovenia
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, SI-1000 Ljubljana, Slovenia
- VIST-Faculty of Applied Sciences, Gerbičeva Cesta 51A, SI-1000 Ljubljana, Slovenia
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13
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de Quadros VP, Balcerzak A, Allemand P, de Sousa RF, Bevere T, Arsenault J, Deitchler M, Holmes BA. Global Trends in the Availability of Dietary Data in Low and Middle-Income Countries. Nutrients 2022; 14:2987. [PMID: 35889943 PMCID: PMC9324857 DOI: 10.3390/nu14142987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/06/2022] [Accepted: 07/12/2022] [Indexed: 02/05/2023] Open
Abstract
Individual-level quantitative dietary data can provide suitably disaggregated information to identify the needs of all population sub-groups, which can in turn inform agricultural, nutrition, food safety, and environmental policies and programs. The purpose of this discussion paper is to provide an overview of dietary surveys conducted in low- and middle-income countries (LMICs) from 1980 to 2019, analyzing their key characteristics to understand the trends in dietary data collection across time. The present study analyzes the information gathered by the Food and Agriculture Organization of the United Nations/World Health Organization Global Individual Food consumption data Tool (FAO/WHO GIFT). FAO/WHO GIFT is a growing repository of individual-level dietary data and contains information about dietary surveys from around the world, collected through published survey results, literature reviews, and direct contact with data owners. The analysis indicates an important increase in the number of dietary surveys conducted in LMICs in the past four decades and a notable increase in the number of national dietary surveys. It is hoped that this trend continues, together with associated efforts to validate and standardize the dietary methods used. The regular implementation of dietary surveys in LMICs is key to support evidence-based policies for improved nutrition.
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Affiliation(s)
- Victoria Padula de Quadros
- Food and Agriculture Organization of the United Nations (FAO), 00153 Rome, Italy; (A.B.); (P.A.); (R.F.d.S.); (T.B.); (B.A.H.)
| | - Agnieszka Balcerzak
- Food and Agriculture Organization of the United Nations (FAO), 00153 Rome, Italy; (A.B.); (P.A.); (R.F.d.S.); (T.B.); (B.A.H.)
| | - Pauline Allemand
- Food and Agriculture Organization of the United Nations (FAO), 00153 Rome, Italy; (A.B.); (P.A.); (R.F.d.S.); (T.B.); (B.A.H.)
| | - Rita Ferreira de Sousa
- Food and Agriculture Organization of the United Nations (FAO), 00153 Rome, Italy; (A.B.); (P.A.); (R.F.d.S.); (T.B.); (B.A.H.)
| | - Teresa Bevere
- Food and Agriculture Organization of the United Nations (FAO), 00153 Rome, Italy; (A.B.); (P.A.); (R.F.d.S.); (T.B.); (B.A.H.)
| | - Joanne Arsenault
- Intake—Center for Dietary Assessment, FHI Solutions, Washington, DC 20009, USA; (J.A.); (M.D.)
| | - Megan Deitchler
- Intake—Center for Dietary Assessment, FHI Solutions, Washington, DC 20009, USA; (J.A.); (M.D.)
| | - Bridget Anna Holmes
- Food and Agriculture Organization of the United Nations (FAO), 00153 Rome, Italy; (A.B.); (P.A.); (R.F.d.S.); (T.B.); (B.A.H.)
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14
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Using short-term dietary intake data to address research questions related to usual dietary intake among populations and subpopulations: Assumptions, statistical techniques, and considerations. J Acad Nutr Diet 2022; 122:1246-1262. [DOI: 10.1016/j.jand.2022.03.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 02/17/2022] [Accepted: 03/07/2022] [Indexed: 11/19/2022]
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15
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16
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Whitton C, Healy JD, Collins CE, Mullan B, Rollo ME, Dhaliwal SS, Norman R, Boushey CJ, Delp EJ, Zhu F, McCaffrey TA, Kirkpatrick SI, Atyeo P, Mukhtar SA, Wright JL, Ramos-García C, Pollard CM, Kerr DA. Accuracy and Cost-effectiveness of Technology-Assisted Dietary Assessment Comparing the Automated Self-administered Dietary Assessment Tool, Intake24, and an Image-Assisted Mobile Food Record 24-Hour Recall Relative to Observed Intake: Protocol for a Randomized Crossover Feeding Study. JMIR Res Protoc 2021; 10:e32891. [PMID: 34924357 PMCID: PMC8726032 DOI: 10.2196/32891] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 11/03/2021] [Accepted: 11/10/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The assessment of dietary intake underpins population nutrition surveillance and nutritional epidemiology and is essential to inform effective public health policies and programs. Technological advances in dietary assessment that use images and automated methods have the potential to improve accuracy, respondent burden, and cost; however, they need to be evaluated to inform large-scale use. OBJECTIVE The aim of this study is to compare the accuracy, acceptability, and cost-effectiveness of 3 technology-assisted 24-hour dietary recall (24HR) methods relative to observed intake across 3 meals. METHODS Using a controlled feeding study design, 24HR data collected using 3 methods will be obtained for comparison with observed intake. A total of 150 healthy adults, aged 18 to 70 years, will be recruited and will complete web-based demographic and psychosocial questionnaires and cognitive tests. Participants will attend a university study center on 3 separate days to consume breakfast, lunch, and dinner, with unobtrusive documentation of the foods and beverages consumed and their amounts. Following each feeding day, participants will complete a 24HR process using 1 of 3 methods: the Automated Self-Administered Dietary Assessment Tool, Intake24, or the Image-Assisted mobile Food Record 24-Hour Recall. The sequence of the 3 methods will be randomized, with each participant exposed to each method approximately 1 week apart. Acceptability and the preferred 24HR method will be assessed using a questionnaire. Estimates of energy, nutrient, and food group intake and portion sizes from each 24HR method will be compared with the observed intake for each day. Linear mixed models will be used, with 24HR method and method order as fixed effects, to assess differences in the 24HR methods. Reporting bias will be assessed by examining the ratios of reported 24HR intake to observed intake. Food and beverage omission and intrusion rates will be calculated, and differences by 24HR method will be assessed using chi-square tests. Psychosocial, demographic, and cognitive factors associated with energy misestimation will be evaluated using chi-square tests and multivariable logistic regression. The financial costs, time costs, and cost-effectiveness of each 24HR method will be assessed and compared using repeated measures analysis of variance tests. RESULTS Participant recruitment commenced in March 2021 and is planned to be completed by the end of 2021. CONCLUSIONS This protocol outlines the methodology of a study that will evaluate the accuracy, acceptability, and cost-effectiveness of 3 technology-enabled dietary assessment methods. This will inform the selection of dietary assessment methods in future studies on nutrition surveillance and epidemiology. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12621000209897; https://tinyurl.com/2p9fpf2s. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/32891.
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Affiliation(s)
- Clare Whitton
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - Janelle D Healy
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - Clare E Collins
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, Australia
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Newcastle, Australia
| | - Barbara Mullan
- Enable Institute, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - Megan E Rollo
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, Australia
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Newcastle, Australia
| | - Satvinder S Dhaliwal
- Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Perth, Australia
- Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Pulau Pinang, Malaysia
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Perth, Australia
| | - Richard Norman
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia
- Enable Institute, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - Carol J Boushey
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, United States
| | - Edward J Delp
- School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States
| | - Fengqing Zhu
- School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States
| | - Tracy A McCaffrey
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Australia
| | | | - Paul Atyeo
- Health Section, Health and Disability Branch, Australian Bureau of Statistics, Canberra, Australia
| | - Syed Aqif Mukhtar
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - Janine L Wright
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - César Ramos-García
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia
- Division of Health Sciences, Tonalá University Center, University of Guadalajara, Guadalajara, Mexico
| | - Christina M Pollard
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia
- Enable Institute, Faculty of Health Sciences, Curtin University, Perth, Australia
- Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - Deborah A Kerr
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia
- Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Perth, Australia
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17
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Guerrero-Romero F, Morales-Gurrola G, Preza-Rodríguez L, Gómez-Barrientos A, Olivas-Martínez AI, Simental-Mendía LE. Magnesium intake is associated with the metabolically healthy obese phenotype. J Investig Med 2021; 70:800-804. [PMID: 34725202 DOI: 10.1136/jim-2021-001841] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/06/2021] [Indexed: 12/13/2022]
Abstract
Although magnesium intake is inversely associated with the risk of metabolic abnormalities, whether magnesium intake plays a role on metabolically healthy obese (MHO) phenotype has not been explored. Therefore, the purpose of this study was to determine whether the magnesium intake is associated with the MHO phenotype. Apparently, healthy women and men aged 20-65 years with obesity were enrolled in a cross-sectional study. Subjects were allocated into MHO (n=124) and metabolically unhealthy obese (MUO) (n=123) groups. MHO phenotype was defined by abdominal obesity (waist circumference ≥90 cm in men and ≥80 cm in women) and none, or not more than one of the following risk factors: triglyceride levels ≥150 mg/dL; high-density lipoprotein cholesterol (HDL-C) levels <40 mg/dL in men and <50 mg/dL in women; fasting glucose ≥100 mg/dL; and systolic blood pressure ≥130 mm Hg and/or diastolic blood pressure ≥85 mm Hg. The MUO individuals were characterized by abdominal obesity and the presence of two or more of the aforementioned criteria. The proportion of individuals with high blood pressure (40.7% vs 5.6%, p<0.001), hyperglycemia (69.1% vs 16.9%, p<0.001), hypertriglyceridemia (84.6% vs 36.3%, p<0.001), and low HDL-C (51.2% vs 12.9%, p<0.001) was significantly higher in the MUO individuals as compared with individuals in the MHO group. The logistic regression analysis adjusted by sex and age showed that dietary magnesium intake is significantly associated with the MHO phenotype (OR=1.17; 95% CI 1.07 to 1.25, p=0.005). Our results show that magnesium intake is significantly associated with the MHO phenotype.
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Affiliation(s)
| | - Gerardo Morales-Gurrola
- Unidad de Investigación Biomédica, Instituto Mexicano del Seguro Social, Durango, Mexico.,Facultad de Medicina y Nutrición, Universidad Juárez del Estado de Durango, Durango, Mexico
| | - Lucía Preza-Rodríguez
- Unidad de Investigación Biomédica, Instituto Mexicano del Seguro Social, Durango, Mexico.,Facultad de Medicina y Nutrición, Universidad Juárez del Estado de Durango, Durango, Mexico
| | | | - Ana I Olivas-Martínez
- Unidad de Investigación Biomédica, Instituto Mexicano del Seguro Social, Durango, Mexico
| | - Luis E Simental-Mendía
- Unidad de Investigación Biomédica, Instituto Mexicano del Seguro Social, Durango, Mexico
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18
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Timon CM, Walton J, Flynn A, Gibney ER. Respondent Characteristics and Dietary Intake Data Collected Using Web-Based and Traditional Nutrition Surveillance Approaches: Comparison and Usability Study. JMIR Public Health Surveill 2021; 7:e22759. [PMID: 33825694 PMCID: PMC8060863 DOI: 10.2196/22759] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 11/18/2020] [Accepted: 02/15/2021] [Indexed: 01/11/2023] Open
Abstract
Background There are many constraints to conducting national food consumption surveys for national nutrition surveillance, including cost, time, and participant burden. Validated web-based dietary assessment technologies offer a potential solution to many of these constraints. Objective This study aims to investigate the feasibility of using a previously validated, web-based, 24-hour recall dietary assessment tool (Foodbook24) for nutrition surveillance by comparing the demographic characteristics and the quality of dietary intake data collected from a web-based cohort of participants in Ireland to those collected from the most recent Irish National Adult Nutrition Survey (NANS). Methods Irish adult participants (aged ≥18 years) were recruited to use Foodbook24 (a web-based tool) between March and October 2016. Demographic and dietary intake (assessed by means of 2 nonconsecutive, self-administered, 24-hour recalls) data were collected using Foodbook24. Following the completion of the study, the dietary intake data collected from the web-based study were statistically weighted to represent the age-gender distribution of intakes reported in the NANS (2008-2010) to facilitate the controlled comparison of intake data. The demographic characteristics of the survey respondents were investigated using descriptive statistics. The controlled comparison of weighted mean daily nutrient intake data collected from the Foodbook24 web-based study (329 plausible reporters of a total of 545 reporters) and the mean daily nutrient intake data collected from the NANS (1051 plausible reporters from 1500 reporters) was completed using the Wilcoxon–Mann-Whitney U test in Creme Nutrition software. Results Differences between the demographic characteristics of the survey participants across the 2 surveys were observed. Notable differences included a lower proportion of adults aged ≥65 years and a higher proportion of females who participated in the web-based Foodbook24 study relative to the NANS study (P<.001). Similar ranges of mean daily intake for the majority of nutrients and food groups were observed (eg, energy [kilocalorie per day] and carbohydrate [gram per day]), although significant differences for some nutrients (eg, riboflavin [mg/10 MJ], P<.001 and vitamin B12 [µg/10 MJ], P<.001) and food groups were identified. A high proportion of participants (200/425, 47.1%) reported a willingness to continue using Foodbook24 for an additional 6 months. Conclusions These findings suggest that by using targeted recruitment strategies in the future to ensure the recruitment of a more representative sample, there is potential for web-based methodologies such as Foodbook24 to be used for nutrition surveillance efforts in Ireland.
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Affiliation(s)
- Claire M Timon
- Centre for eIntegrated Care, School of Nursing, Psychotherapy and Community Health, Dublin City University, Dublin, Ireland
| | - Janette Walton
- Department of Biological Sciences, Munster Technological University, Cork, Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Eileen R Gibney
- Institute of Food and Health, University College Dublin, Dublin, Ireland
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19
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Meima MY, Blom WM, Westerhout J, Kruizinga AG, Remington BC, Houben GF. A systematic comparison of food intake data of the United States and the Netherlands for food allergen risk assessment. Food Chem Toxicol 2021; 150:112006. [PMID: 33513409 DOI: 10.1016/j.fct.2021.112006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 01/08/2021] [Accepted: 01/15/2021] [Indexed: 10/22/2022]
Abstract
National population-based food consumption surveys are used in food allergen risk assessment. It would be beneficial if food intake data is interchangeable between countries to bridge potential gaps present in national survey data, which is only possible when risk assessment outcomes for comparable food product groups between countries are fairly similar. Additionally, merged food intake data would enable risk assessments that cover scenarios for various countries, if based on the most critical situation. Therefore, we systematically compared risk assessment outcomes for a broad range of food groups based on United States and Dutch population food consumption survey data. We calculated risks for 14 allergenic foods for 9 concentrations (1-10,000 ppm) to assess comparability. Depending on the assumed allergen concentration, risk assessment outcomes for 20% (10 out of 49) food groups differed considerably. We consider the number of potentially relevant risk differences too high to conclude that food intake data from the US and The Netherlands can be used interchangeably. To allow risk assessments that cover scenarios for several countries, we recommend development and use of a food intake dataset based on the highest intake levels for each food group of the involved countries to facilitate risk management efforts and harmonization.
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Affiliation(s)
- Marie Y Meima
- The Netherlands Organization for Applied Scientific Research TNO, Princetonlaan 6, 3584 CB, Utrecht, the Netherlands.
| | - W Marty Blom
- The Netherlands Organization for Applied Scientific Research TNO, Princetonlaan 6, 3584 CB, Utrecht, the Netherlands
| | - Joost Westerhout
- The Netherlands Organization for Applied Scientific Research TNO, Princetonlaan 6, 3584 CB, Utrecht, the Netherlands
| | - Astrid G Kruizinga
- The Netherlands Organization for Applied Scientific Research TNO, Princetonlaan 6, 3584 CB, Utrecht, the Netherlands
| | - Benjamin C Remington
- The Netherlands Organization for Applied Scientific Research TNO, Princetonlaan 6, 3584 CB, Utrecht, the Netherlands
| | - Geert F Houben
- The Netherlands Organization for Applied Scientific Research TNO, Princetonlaan 6, 3584 CB, Utrecht, the Netherlands
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20
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Is It Time to Rethink Our Weight Loss Paradigms? BIOLOGY 2020; 9:biology9040070. [PMID: 32252392 PMCID: PMC7235705 DOI: 10.3390/biology9040070] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Revised: 03/30/2020] [Accepted: 03/31/2020] [Indexed: 12/11/2022]
Abstract
Strategies aiming to promote weight loss usually include anything that results in an increase in energy expenditure (exercise) or a decrease in energy intake (diet). However, the probability of losing weight is low and the probability of sustained weight loss is even lower. Herein, we bring some questions and suggestions about the topic, with a focus on exercise interventions. Based on the current evidence, we should look at how metabolism changes in response to interventions instead of counting calories, so we can choose more efficient models that can account for the complexity of human organisms. In this regard, high-intensity training might be particularly interesting as a strategy to promote fat loss since it seems to promote many physiological changes that might favor long-term weight loss. However, it is important to recognize the controversy of the results regarding interval training (IT), which might be explained by the large variations in its application. For this reason, we have to be more judicious about how exercise is planned and performed and some factors, like supervision, might be important for the results. The intensity of exercise seems to modulate not only how many calories are expended after exercise, but also where they came from. Instead of only estimating the number of calories ingested and expended, it seems that we have to act positively in order to create an adequate environment for promoting healthy and sustainable weight loss.
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21
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Benthem de Grave R, Rust NA, Reynolds CJ, Watson AW, Smeddinck JD, Souza Monteiro DM. A catalogue of UK household datasets to monitor transitions to sustainable diets. GLOBAL FOOD SECURITY 2020. [DOI: 10.1016/j.gfs.2019.100344] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
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Park SJ, Palvanov A, Lee CH, Jeong N, Cho YI, Lee HJ. The development of food image detection and recognition model of Korean food for mobile dietary management. Nutr Res Pract 2019; 13:521-528. [PMID: 31814927 PMCID: PMC6883229 DOI: 10.4162/nrp.2019.13.6.521] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 06/18/2019] [Accepted: 08/18/2019] [Indexed: 11/04/2022] Open
Abstract
BACKGROUND/OBJECTIVES The aim of this study was to develop Korean food image detection and recognition model for use in mobile devices for accurate estimation of dietary intake. SUBJECTS/METHODS We collected food images by taking pictures or by searching web images and built an image dataset for use in training a complex recognition model for Korean food. Augmentation techniques were performed in order to increase the dataset size. The dataset for training contained more than 92,000 images categorized into 23 groups of Korean food. All images were down-sampled to a fixed resolution of 150 × 150 and then randomly divided into training and testing groups at a ratio of 3:1, resulting in 69,000 training images and 23,000 test images. We used a Deep Convolutional Neural Network (DCNN) for the complex recognition model and compared the results with those of other networks: AlexNet, GoogLeNet, Very Deep Convolutional Neural Network, VGG and ResNet, for large-scale image recognition. RESULTS Our complex food recognition model, K-foodNet, had higher test accuracy (91.3%) and faster recognition time (0.4 ms) than those of the other networks. CONCLUSION The results showed that K-foodNet achieved better performance in detecting and recognizing Korean food compared to other state-of-the-art models.
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Affiliation(s)
- Seon-Joo Park
- Department of Food and Nutrition, College of BioNano Technology, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi 13120, Korea
| | - Akmaljon Palvanov
- Department of Computer Engineering, College of IT, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi 13120, Korea
| | - Chang-Ho Lee
- Research Group of Functional Food Materials, Korea Food Research Institute, Wanju 55365, Korea
| | - Nanoom Jeong
- Department of Food and Nutrition, College of BioNano Technology, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi 13120, Korea
| | - Young-Im Cho
- Department of Computer Engineering, College of IT, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi 13120, Korea
| | - Hae-Jeung Lee
- Department of Food and Nutrition, College of BioNano Technology, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi 13120, Korea
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Gregorič M, Zdešar Kotnik K, Pigac I, Gabrijelčič Blenkuš M. A Web-Based 24-H Dietary Recall Could Be a Valid Tool for the Indicative Assessment of Dietary Intake in Older Adults Living in Slovenia. Nutrients 2019; 11:nu11092234. [PMID: 31527530 PMCID: PMC6770526 DOI: 10.3390/nu11092234] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 09/06/2019] [Accepted: 09/08/2019] [Indexed: 01/11/2023] Open
Abstract
The methodology used in dietary surveys could, to a large extent, follow the instructions of the European Food Safety Authority (EFSA), where 24-h dietary recall (24HDR) is recommended for (sub) population studies. However, it is necessary to examine the suitability of 24HDR for indicative dietary intake in older adults. This study aimed to compare participants’ dietary intakes with the recommendations and to compare dietary intakes derived from a 24HDR using an OPEN web-based application to those obtained from reference weighed food records (WFRs). Forty-nine Slovenian residential home residents completed both assessments, and a comparison with dietary reference values was performed. Estimates from these two methods were compared and the correlations between them were assessed. The findings revealed that dietary intakes derived from the WFR method mostly differed from the recommended intakes. The 24HDR underestimated dietary intake compared to the WFR for 66% of monitored parameters, while 75% of these parameters were correlated, mostly at a moderate level (0.3–0.69). In conclusion, the diets of residential home residents in this study mostly differed from recommendations. Both methods for dietary intake assessment provided comparable results for most of the monitored parameters in expected deviations. A web-based 24HDR could be a valid tool for the indicative assessment of dietary intake in older adults. However, further validations are required.
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Affiliation(s)
- Matej Gregorič
- Health Survey and Health Promotion Centre, National Institute of Public Health, Trubarjeva 2, 1000 Ljubljana, Slovenia.
| | - Katja Zdešar Kotnik
- Department of Biology, Biotechnical Faculty, University of Ljubljana, Večna pot 111, 1000 Ljubljana, Slovenia.
| | - Igor Pigac
- Department of Food Science and Technology, Biotechnical Faculty, University of Ljubljana, Večna pot 111, 1000 Ljubljana, Slovenia.
| | - Mojca Gabrijelčič Blenkuš
- Health Survey and Health Promotion Centre, National Institute of Public Health, Trubarjeva 2, 1000 Ljubljana, Slovenia.
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Hebestreit A, Thumann B, Wolters M, Bucksch J, Huybrechts I, Inchley J, Lange C, Lien N, Manz K, Slimani N, van der Ploeg HP, Ahrens W. Road map towards a harmonized pan-European surveillance of obesity-related lifestyle behaviours and their determinants in children and adolescents. Int J Public Health 2019; 64:615-623. [PMID: 30888434 DOI: 10.1007/s00038-019-01227-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 02/20/2019] [Accepted: 02/22/2019] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVES To develop a road map towards a harmonized pan-European surveillance system for children and adolescents. METHODS Representatives of five European surveillance systems and the German Health Interview and Examination Survey for Children and Adolescents contributed to the road map through a structured workshop in 2016. RESULTS A conceptual framework for this road map was developed with seven action points (APs) guiding the successive cross-country harmonization. First, key indicators of health behaviour and their determinants in children and adolescents will be identified (AP1, 2); short screening instruments will be developed and implemented to assess and monitor key indicators (AP3, 4). In parallel, optional supplementary modules could be implemented to provide objective data (AP5). This would allow mutual calibration and improvement of existing instruments before their progressive replacement by more comparable measurement tools (AP6). The establishment of a competence platform is envisaged for guiding the harmonization process (AP7). CONCLUSIONS This approach builds on existing systems, provides comparable key health indicators across European regions, helps to assess temporal trends and-once in place-will facilitate health reporting and monitoring of national and international health targets.
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Affiliation(s)
- Antje Hebestreit
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany.
| | - Barbara Thumann
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany
| | - Maike Wolters
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany
| | - Jens Bucksch
- University of Education Heidelberg, Heidelberg, Germany
| | | | | | | | | | | | - Nadia Slimani
- International Agency for Research On Cancer, Lyon, France
| | | | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany
- University of Bremen, Bremen, Germany
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Zhang L, Geelen A, Boshuizen HC, Ferreira J, Ocké MC. Importance of details in food descriptions in estimating population nutrient intake distributions. Nutr J 2019; 18:17. [PMID: 30876417 PMCID: PMC6419831 DOI: 10.1186/s12937-019-0443-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Accepted: 03/07/2019] [Indexed: 12/24/2022] Open
Abstract
Background National food consumption surveys are important policy instruments that could monitor food consumption of a certain population. To be used for multiple purposes, this type of survey usually collects comprehensive food information using dietary assessment methods like 24-h dietary recalls (24HRs). However, the collection and handling of such detailed information require tremendous efforts. We aimed to improve the efficiency of data collection and handling in 24HRs, by identifying less important characteristics of food descriptions (facets) and assessing the impact of disregarding them on energy and nutrient intake distributions. Methods In the Dutch National Food Consumption Survey 2007–2010, food consumption data were collected through interviewer-administered 24HRs using GloboDiet software in 3819 persons. Interviewers asked participants about the characteristics of each food item according to applicable facets. Food consumption data were subsequently linked to the food composition database. The importance of facets for predicting energy and each of the 33 nutrients was estimated using the random forest algorithm. Then a simulation study was performed to determine the influence of deleting less important facets on population nutrient intake distributions. Results We identified 35% facets as unimportant and deleted them from the total food consumption database. The majority (79.4%) of the percent difference between percentile estimates of the population nutrient intake distributions before and after facet deletion ranged from 0 to 1%, while 20% cases ranged from 1 to 5% and 0.6% cases more than 10%. Conclusion We concluded that our procedure was successful in identifying less important food descriptions in estimating population nutrient intake distributions. The reduction in food descriptions has the potential to reduce the time needed for conducting interviews and data handling while maintaining the data quality of the survey. Electronic supplementary material The online version of this article (10.1186/s12937-019-0443-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Liangzi Zhang
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands.,National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Anouk Geelen
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
| | - Hendriek C Boshuizen
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands.,National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - José Ferreira
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Marga C Ocké
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands. .,National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
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Gibson RS, Charrondiere UR, Bell W. Measurement Errors in Dietary Assessment Using Self-Reported 24-Hour Recalls in Low-Income Countries and Strategies for Their Prevention. Adv Nutr 2017; 8:980-991. [PMID: 29141979 PMCID: PMC5683000 DOI: 10.3945/an.117.016980] [Citation(s) in RCA: 140] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Securing accurate measurements of dietary intake across populations is challenging. Of the methods, self-reported 24-h recalls are often used in low-income countries (LICs) because they are quick, culturally sensitive, do not require high cognitive ability, and provide quantitative data on both foods and nutrients. Measuring intakes via 24-h recalls involves 1) collecting data on food intakes, 2) the appropriate use of relevant food-composition data for calculating nutrient intakes, and 3) statistically converting observed intakes to "usual intakes" for evaluating nutrient adequacy or relations between foods and nutrients and health outcomes. Like all dietary methods, 24-h recalls are subject to random errors that lower the precision and systematic errors that can reduce accuracy at each stage of the measurement protocol. Research has identified the potential sources of measurement errors in 24-h recall protocols and emphasized that sources of random error can be reduced by incorporating standardized quality-control procedures and collecting more than one 24-h recall per person, with the number depending on the study objective. Careful design of the initial 24-h recall protocol can take into account potential sources of systematic error, such as day of the week, season, age, etc. Other sources of systematic error (e.g., energy underreporting) can best be detected by including a reference measure (e.g., doubly labeled water to measure energy expenditure). Alternatively, 24-h recall intakes of energy can be compared with same-day weighed intakes. Nevertheless, very few studies in LICs have assessed the validity of 24-h recalls in their study settings or adopted recommended standardized protocols to mitigate random errors. Hence, efforts should be made to improve the assessment, analysis, and interpretation of self-reported 24-h recall data for population studies in LICs. Accurate and precise dietary intake data at the national level can play an essential role in informing food, nutrition, and agricultural policies; food fortification planning; and compliance to food-based dietary guidelines.
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Affiliation(s)
- Rosalind S Gibson
- Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | | | - Winnie Bell
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
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Huybrechts I, Aglago EK, Mullee A, De Keyzer W, Leclercq C, Allemand P, Balcerzak A, Zotor FB, Gunter MJ. Global comparison of national individual food consumption surveys as a basis for health research and integration in national health surveillance programmes. Proc Nutr Soc 2017; 76:549-567. [PMID: 28803558 DOI: 10.1017/s0029665117001161] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Individual food consumption surveys (IFCS) are performed to evaluate compliance with food/nutrient intake requirements or exposure to potential harmful dietary contaminants/components. In this review, we inventoried methods and designs used in national IFCS and discussed the methodologies applied across countries. Literature searches were performed using fixed sets of search terms in different online databases. We identified IFCS in thirty-nine countries from six world continents. National IFCS systems are available in most of the high-income countries, while such surveys are scarce in low- and middle-income countries (e.g. Africa, Eastern Europe and several Asian countries). Few countries (n 9) have their national IFCS incorporated into national health and nutrition surveys, allowing the investigation of dietary-related disease outcomes. Of the integrated surveys, most have the advantage of being continuous/regular, contrary to other IFCS that are mostly erratic. This review serves as the basis to define gaps and needs in IFCS worldwide and assists in defining priorities for resource allocation. In addition, it can serve as a source of inspiration for countries that do not have an IFCS system in place yet and advocate for national IFCS to be incorporated into national health and nutrition surveys in order to create: (1) research opportunities for investigating diet-disease relationships and (2) a frame to plan and evaluate the effect of diet-related policies (e.g. promotion of local nutrient-rich foods) and of nutrition recommendations, such as food-based dietary guidelines. Countries that integrate their IFCS within their national health and nutrition survey can serve as proof-of-principle for other countries.
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Affiliation(s)
| | - Elom K Aglago
- International Agency for Research on Cancer,Lyon,France
| | - Amy Mullee
- International Agency for Research on Cancer,Lyon,France
| | - Willem De Keyzer
- Faculty of Science and Technology, Department of Bio- and Food Sciences,University College Ghent,Valentin Vaerwyckweg 1, B-9000 Ghent,Belgium
| | - Catherine Leclercq
- Nutrition Assessment & Scientific Advice Group,Nutrition and Food Systems Division, Food and Agricultural Organization of the United Nations,Viale Terme di Caracalla, 00153 Rome,Italy
| | - Pauline Allemand
- Nutrition Assessment & Scientific Advice Group,Nutrition and Food Systems Division, Food and Agricultural Organization of the United Nations,Viale Terme di Caracalla, 00153 Rome,Italy
| | - Agnieszka Balcerzak
- Nutrition Assessment & Scientific Advice Group,Nutrition and Food Systems Division, Food and Agricultural Organization of the United Nations,Viale Terme di Caracalla, 00153 Rome,Italy
| | - Francis B Zotor
- School of Public Health, University of Health and Allied Sciences,Ho,Ghana
| | - Marc J Gunter
- International Agency for Research on Cancer,Lyon,France
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A review of the design and validation of web- and computer-based 24-h dietary recall tools. Nutr Res Rev 2016; 29:268-280. [DOI: 10.1017/s0954422416000172] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
AbstractTechnology-based dietary assessment offers solutions to many of the limitations of traditional dietary assessment methodologies including cost, participation rates and the accuracy of data collected. The 24-h dietary recall (24HDR) method is currently the most utilised method for the collection of dietary intake data at a national level. Recently there have been many developments using web-based platforms to collect food intake data using the principles of the 24HDR method. This review identifies web- and computer-based 24HDR tools that have been developed for both children and adult population groups, and examines common design features and the methods used to investigate the performance and validity of these tools. Overall, there is generally good to strong agreement between web-based 24HDR and respective reference measures for intakes of macro- and micronutrients.
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Kirkpatrick SI, Collins CE. Assessment of Nutrient Intakes: Introduction to the Special Issue. Nutrients 2016; 8:184. [PMID: 27023598 PMCID: PMC4848653 DOI: 10.3390/nu8040184] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Accepted: 03/21/2016] [Indexed: 01/19/2023] Open
Affiliation(s)
- Sharon I Kirkpatrick
- School of Public Health and Health Systems, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
| | - Clare E Collins
- Priority Research Centre for Physical Activity and Nutrition, School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW 2308, Australia.
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The foodomics approach for discovering biomarkers of food consumption in nutrition studies. Curr Opin Food Sci 2015. [DOI: 10.1016/j.cofs.2015.07.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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