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2.
JMIR Mhealth Uhealth ; 12: e50196, 2024 Feb 09.
Artigo em Inglês | MEDLINE | ID: mdl-38335009

RESUMO

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.


Assuntos
Aplicativos Móveis , Masculino , Humanos , Feminino , Smartphone , Reprodutibilidade dos Testes , Dieta/métodos , Ingestão de Energia
3.
BMC Public Health ; 20(1): 643, 2020 May 11.
Artigo em Inglês | MEDLINE | ID: mdl-32389120

RESUMO

BACKGROUND: Implementation of food taxes or subsidies may promote healthier and a more sustainable diet in a society. This study estimates the effects of a tax (15% or 30%) on meat and a subsidy (10%) on fruit and vegetables (F&V) consumption in the Netherlands using a social cost-benefit analysis with a 30-year time horizon. METHODS: Calculations with the representative Dutch National Food Consumption Survey (2012-2014) served as the reference. Price elasticities were applied to calculate changes in consumption and consumer surplus. Future food consumption and health effects were estimated using the DYNAMO-HIA model and environmental impacts were estimated using Life Cycle Analysis. The time horizon of all calculations is 30 year. All effects were monetarized and discounted to 2018 euros. RESULTS: Over 30-years, a 15% or 30% meat tax or 10% F&V subsidy could result in reduced healthcare costs, increased quality of life, and higher productivity levels. Benefits to the environment of a meat tax are an estimated €3400 million or €6300 million in the 15% or 30% scenario respectively, whereas the increased F&V consumption could result in €100 million costs for the environment. While consumers benefit from a subsidy, a consumer surplus of €10,000 million, the tax scenarios demonstrate large experienced costs of respectively €21,000 and €41,000 million. Overall, a 15% or 30% price increase in meat could lead to a net benefit for society between €3100-7400 million or €4100-12,300 million over 30 years respectively. A 10% F&V subsidy could lead to a net benefit to society of €1800-3300 million. Sensitivity analyses did not change the main findings. CONCLUSIONS: The studied meat taxes and F&V subsidy showed net total welfare benefits for the Dutch society over a 30-year time horizon.


Assuntos
Dieta Saudável/economia , Dieta Saudável/estatística & dados numéricos , Frutas/economia , Carne/economia , Impostos/economia , Impostos/tendências , Verduras/economia , Análise Custo-Benefício/estatística & dados numéricos , Análise Custo-Benefício/tendências , Financiamento Governamental/economia , Financiamento Governamental/estatística & dados numéricos , Financiamento Governamental/tendências , Previsões , Humanos , Países Baixos , Impostos/estatística & dados numéricos
4.
Artigo em Inglês | MEDLINE | ID: mdl-31944907

RESUMO

Dietary exposure to nitrate and nitrite occurs via three main sources; occurrence in (vegetable) foods, food additives in certain processed foods and contaminants in drinking water. While nitrate can be converted to nitrite in the human body, their risk assessment is usually based on single substance exposure in different regulatory frameworks. Here, we assessed the long-term combined exposure to nitrate and nitrite from food and drinking water. Dutch monitoring data (2012-2018) and EFSA data from 2017 were used for concentration data. These were combined with data from the Dutch food consumption survey (2012-2016) to assess exposure. A conversion factor (median 0.023; range 0.008-0.07) was used to express the nitrate exposure in nitrite equivalents which was added to the nitrite exposure. The uncertainty around the conversion factor was taken into account by using conversion factors randomly sampled from the abovementioned range. The combined dietary exposure was calculated for the Dutch population (1-79 years) with different exposure scenarios to address regional differences in nitrate and nitrite concentrations in drinking water. All scenarios resulted in a combined exposure above the acceptable daily intake for nitrite ion (70 µg/kg bw), with the mean exposure varying between 95-114 µg nitrite/kg bw/day in the different scenarios. Of all ages, the combined exposure was highest in children aged 1 year with an average of 250 µg nitrite/kg bw/day. Vegetables contributed most to the combined exposure in food in all scenarios, varying from 34%-41%. Food additive use contributed 8%-9% to the exposure and drinking water contributed 3%-19%. Our study is the first to perform a combined dietary exposure assessment of nitrate and nitrite while accounting for the uncertain conversion factor. Such a combined exposure assessment overarching different regulatory frameworks and using different scenarios for drinking water is a better instrument for protecting human health than single substance exposure.


Assuntos
Água Potável/análise , Aditivos Alimentares/análise , Análise de Alimentos , Contaminação de Alimentos/análise , Nitratos/análise , Nitritos/análise , Incerteza
5.
Food Funct ; 9(1): 179-190, 2018 Jan 24.
Artigo em Inglês | MEDLINE | ID: mdl-29184939

RESUMO

The use of food supplements containing herbs or other botanical ingredients (plant food supplements, PFS) is on the rise. In some cases, PFS can contain compounds that are toxic and may pose a health risk. To assess the potential health risks, information on the consumption of PFS is required, however, this was lacking for the Netherlands. In the current study, the consumption of PFS was investigated for several subgroups in the Dutch population, including children. Data from the Dutch National Food Consumption Surveys were used to get a first impression on the consumption of PFS. To obtain more detailed information, a specific PFS consumption survey was performed using online questionnaires. First, a screening survey was performed among a representative sample of 75 100 adults and children of the Dutch population, followed by a main survey among 739 selected PFS users in eight different age and gender subgroups. The prevalence of PFS users in the Dutch population was approximately 10% for men, 17% for women and 13% for children. A wide variety of PFS was used, with around 600 different PFS reported, containing 345 different botanicals. The most frequently used botanicals were echinacea (Echinacea purpurea), ginkgo (Ginkgo biloba), cranberry (Vaccinium macrocarpon), ginseng (Panax ginseng) and algae (such as species belonging to the genus Spirulina or Chlorella). Because PFS are widely used in the Dutch population, it is important to evaluate the potential risks associated with PFS consumption in the Netherlands, including potential herb-drug interactions. The data collected in this study are of great value to assess these risks.


Assuntos
Suplementos Nutricionais/estatística & dados numéricos , Plantas/metabolismo , Adolescente , Adulto , Idoso , Criança , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Países Baixos , Plantas/química , Plantas/classificação , Inquéritos e Questionários , Adulto Jovem
6.
Eur J Nutr ; 56(2): 581-590, 2017 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-26602544

RESUMO

PURPOSE: Due to changes in the Dutch fortification policy for vitamin D and the vitamin D supplementation advice for infants (10-µg/d for 0-4 year olds), a partially virtual scenario study was conducted to evaluate the risk of excessive vitamin D intake assigning all infants to a 100 % adherence to the supplementation advice and considering the current fortification practice. METHODS: Food consumption data from the Nutrition Intake Study (2002; N = 941, 7-19 months) were combined with Dutch food composition data from 2011 to estimate vitamin D intake from (fortified) foods. For infants 0-6 months of age, the consumption volume infant formula was estimated from energy requirement and body weight. All subjects were assigned to take a daily 10 µg vitamin D supplement, according the Dutch supplementation advice for infants. Habitual vitamin D intake was estimated using the Statistical Program to Assess Dietary Exposure and compared with the tolerable upper intake levels (ULs) set by the European Food Safety Authority. RESULTS: The median habitual total vitamin D intake was 16-22 µg/day for infants aged 0-6 months (increasing with age) and 13-21 µg/day for infants aged 7-19 months (decreasing with age). About 4-12 % of infants aged 7-11 months exceeded the UL. At the 99th percentile, the intake was 2-4 µg above the UL, depending on age. Infants aged 0-6 and 12-19 months did not exceed the UL. CONCLUSIONS: In case of combined intake from infant formula, (fortified) foods, and supplements, vitamin D intakes above the UL are possible among some infants during a limited time period.


Assuntos
Suplementos Nutricionais , Alimentos Fortificados , Fórmulas Infantis , Vitamina D/administração & dosagem , Dieta , Ingestão de Energia , Feminino , Humanos , Lactente , Fenômenos Fisiológicos da Nutrição do Lactente , Recém-Nascido , Masculino , Países Baixos , Política Nutricional , Necessidades Nutricionais , Fatores de Risco , Vitamina D/efeitos adversos
7.
Food Nutr Res ; 59: 26317, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-26041009

RESUMO

BACKGROUND: Differences in dietary patterns between ethnic groups have often been observed. These differences may partially be a reflection of differences in socio-economic status (SES) or may be the result of differences in the direction and strength of the association between SES and diet. OBJECTIVE: We aimed to examine ethnic differences in dietary patterns and the role of socio-economic indicators on dietary patterns within a multi-ethnic population. DESIGN: Cross-sectional multi-ethnic population-based study. SETTING: Amsterdam, the Netherlands. SUBJECTS: Principal component analysis was used to identify dietary patterns among Dutch (n=1,254), South Asian Surinamese (n=425), and African Surinamese (n=784) participants. Levels of education and occupation were used to indicate SES. Linear regression analysis was used to examine the association between ethnicity and dietary pattern scores first and then between socio-economic indicators and dietary patterns within and between ethnic groups. RESULTS: 'Noodle/rice dishes and white meat', 'red meat, snacks, and sweets' and 'vegetables, fruit and nuts' patterns were identified. Compared to the Dutch origin participants, Surinamese more closely adhered to the 'noodle/rice dishes and white meat' pattern which was characterized by foods consumed in a 'traditional Surinamese diet'. Closer adherence to the other two patterns was observed among Dutch compared to Surinamese origin participants. Ethnic differences in dietary patterns persisted within strata of education and occupation. Surinamese showed greater adherence to a 'traditional' pattern independent of SES. Among Dutch participants, a clear socio-economic gradient in all dietary patterns was observed. Such a gradient was only present among Surinamese dietary oatterns to the 'vegetables, fruit and nuts' pattern. CONCLUSIONS: We found a selective change in the adherence to dietary patterns among Surinamese origin participants, presumably a move towards more vegetables and fruits with higher SES but continued fidelity to the traditional diet.

8.
Food Nutr Res ; 562012.
Artigo em Inglês | MEDLINE | ID: mdl-22481899

RESUMO

INTRODUCTION: Fortification with folic acid was prohibited in the Netherlands. Since 2007, a general exemption is given to fortify with folic acid up until a maximum level of 100 µg/100 kcal. This maximum level was based on a calculation model and data of adults only. The model requires parameters on intake (diet, supplements, energy) and on the proportion of energy that may be fortified. This study aimed to evaluate the model parameters considering the changing fortification market. In addition, the risk of young children exceeding the UL for folic acid was studied. METHODS: Folic acid fortified foods present on the Dutch market were identified in product databases and by a supermarket inventory. Together with data of the Dutch National Consumption Survey-Young Children (2005/2006) these inventory results were used to re-estimate the model parameters. Habitual folic acid intake of young children was estimated and compared to the UL for several realistic fortification scenarios. RESULTS: Folic acid fortified foods were identified in seven different food groups. In up to 10% of the population, the proportion of energy intake of folic acid fortified foods exceeded 10% - the original model parameter. The folic acid intake from food supplements was about 100 µg/day, which is lower than the intake assumed as the original model parameter (300 µg). In the scenarios representing the current market situation, a small proportion (<5%) of the children exceeded the UL. CONCLUSION: The maximum fortification level of 100 µg/100 kcal is sufficiently protective for children in the current market situation. In the precautionary model to estimate the maximum fortification levels, subjects with high intakes of folic acid from food and supplements, and high energy intakes are protected from too high folic acid intakes. Combinations of high intakes are low in this population. The maximum levels should be monitored and revised with increasing fortification and supplementation practices.

9.
BMC Public Health ; 11: 441, 2011 Jun 07.
Artigo em Inglês | MEDLINE | ID: mdl-21649889

RESUMO

BACKGROUND: In Western countries the prevalence of cardiovascular disease (CVD) is often higher in non-Western migrants as compared to the host population. Diet is an important modifiable determinant of CVD. Increasingly, dietary patterns rather than single nutrients are the focus of research in an attempt to account for the complexity of nutrient interactions in foods. Research on dietary patterns in non-Western migrants is limited and may be hampered by a lack of validated instruments that can be used to assess the habitual diet of non-western migrants in large scale epidemiological studies. The ultimate aims of this study are to (1) understand whether differences in dietary patterns explain differences in CVD risk between ethnic groups, by developing and validating ethnic-specific Food Frequency Questionnaires (FFQs), and (2) to investigate the determinants of these dietary patterns. This paper outlines the design and methods used in the HELIUS-Dietary Patterns study and describes a systematic approach to overcome difficulties in the assessment and analysis of dietary intake data in ethnically diverse populations. METHODS/DESIGN: The HELIUS-Dietary Patterns study is embedded in the HELIUS study, a Dutch multi-ethnic cohort study. After developing ethnic-specific FFQs, we will gather data on the habitual intake of 5000 participants (18-70 years old) of ethnic Dutch, Surinamese of African and of South Asian origin, Turkish or Moroccan origin. Dietary patterns will be derived using factor analysis, but we will also evaluate diet quality using hypothesis-driven approaches. The relation between dietary patterns and CVD risk factors will be analysed using multiple linear regression analysis. Potential underlying determinants of dietary patterns like migration history, acculturation, socio-economic factors and lifestyle, will be considered. DISCUSSION: This study will allow us to investigate the contribution of the dietary patterns on CVD risk factors in a multi-ethnic population. Inclusion of five ethnic groups residing in one setting makes this study highly innovative as confounding by local environment characteristics is limited. Heterogeneity in the study population will provide variance in dietary patterns which is a great advantage when studying the link between diet and disease.


Assuntos
Doenças Cardiovasculares/etiologia , Comportamento Alimentar/etnologia , Migrantes , Adolescente , Adulto , Doenças Cardiovasculares/etnologia , Estudos de Coortes , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Marrocos/etnologia , Países Baixos , Estudos Prospectivos , Fatores de Risco , Suriname/etnologia , Inquéritos e Questionários , Turquia/etnologia , Adulto Jovem
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