- Chair Nutrition and Health over the Lifecourse (5)
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- HNE Nutrition and Health over the Lifecourse (5)
- VLAG (5)
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- Nutrition and Disease (2)
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- HNE Sensory Science and Eating Behaviour (1)
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- Ettje F. Tigchelaar (1)
- E.J.M. Feskens (1)
- Linda G. Swart-Busscher (1)
- Anouk Geelen (1)
- I.M.G. Gosselink (1)
- Jeanne H.M. Vries De (1)
- Jeanne H.M. Vries de (1)
- Bruce H.R. Wolffenbuttel (1)
- M. Hesselink (1)
- Edith J.M. Feskens (2)
- D. Jonkers (1)
- Daan Kromhout (1)
- Melanie M. Klauw Van Der (1)
- Anne M. Wiel van de (1)
- A.A.M. Masclee (1)
- S. Meijboom (2)
- Saskia Meijboom (1)
- Zlatan Mujagic (1)
- Sandra N. Slagter (1)
- M. Nicolaou (1)
- C.W.M. Perenboom (3)
- Corine Perenboom (1)
- J.M. Schultink (1)
- Els Siebelink (1)
- Anna Sijtsma (1)
- Martinette T. Houts-Streppel van (1)
- Jana V. Vliet-Ostaptchouk Van (1)
- J.H.M. Vries de (2)
- Corine W.M. Perenboom (1)
- Cisca Wijmenga (1)
- Alexandra Zhernakova (1)
Dietary patterns and physical activity in the metabolically (un)healthy obese: the Dutch Lifelines cohort study
Slagter, Sandra N. ; Corpeleijn, Eva ; Klauw, Melanie M. Van Der; Sijtsma, Anna ; Swart-Busscher, Linda G. ; Perenboom, Corine W.M. ; Vries, Jeanne H.M. De; Feskens, Edith J.M. ; Wolffenbuttel, Bruce H.R. ; Kromhout, Daan ; Vliet-Ostaptchouk, Jana V. Van - \ 2018
Nutrition Journal 17 (2018)1. - ISSN 1475-2891
Diversity in the reported prevalence of metabolically healthy obesity (MHO), suggests that modifiable factors may be at play. We evaluated differences in dietary patterns and physical activity between MHO and metabolically unhealthy obesity (MUO).
Cross-sectional data of 9270 obese individuals (30–69 years) of the Lifelines Cohort Study was used. MHO was defined as obesity and no metabolic syndrome risk factors and no cardiovascular disease history. MUO was defined as obesity and ≥2 metabolic syndrome risk factors. Sex-specific associations of dietary patterns (identified by principal component analysis) and physical activity with MHO were assessed by multivariable logistic regression (reference group: MUO). Analyses were adjusted for multiple covariates.
Among 3442 men and 5828 women, 10.2% and 24.4% had MHO and 56.9% and 35.3% MUO, respectively. We generated four obesity-specific dietary patterns. Two were related to MHO, and in women only. In the highest quartile (Q) of ‘bread, potatoes and sweet snacks’ pattern, odds ratio (OR) (95% CI) for MHO was 0.52 (0.39–0.70). For the healthier pattern ‘fruit, vegetables and fish’, an OR of 1.36 (1.09–1.71) in Q3 and 1.55 (1.21–1.97) in Q4 was found for MHO. For physical activity, there was a positive association between moderate physical activity and vigorous physical activity in the highest tertile and MHO in women and men, respectively (OR 1.19 (1.01–1.41) and OR 2.02 (1.50–2.71)).
The healthier diet -characterized by ‘fruit, vegetables and fish’- and moderate physical activity in women, and vigorous physical activity in men may be related to MHO. The (refined) carbohydrate-rich ‘bread, potatoes and sweet snacks’ dietary pattern was found to counteract MHO in women.
Evaluation of dietary intake assessed by the Dutch self-administered web-based dietary 24-h recall tool (Compl-eat™) against interviewer-administered telephone-based 24-h recalls
Meijboom, Saskia ; Houts-Streppel, Martinette T. van; Perenboom, Corine ; Siebelink, Els ; Wiel, Anne M. van de; Geelen, Anouk ; Feskens, Edith J.M. ; Vries, Jeanne H.M. de - \ 2017
Journal of Nutritional Science 6 (2017). - ISSN 2048-6790 - 10 p.
24-h Dietary recalls - Comparative studies - Dietary assessment - Internet
Self-administered web-based 24-h dietary recalls (24 hR) may save a lot of time and money as compared with interviewer-administered telephone-based 24 hR interviews and may therefore be useful in large-scale studies. Within the Nutrition Questionnaires plus (NQplus) study, the web-based 24 hR tool Compl-eat™ was developed to assess Dutch participants’ dietary intake. The aim of the present study was to evaluate the performance of this tool against the interviewer-administered telephone-based 24 hR method. A subgroup of participants of the NQplus study (20–70 years, n 514) completed three self-administered web-based 24 hR and three telephone 24 hR interviews administered by a dietitian over a 1-year period. Compl-eat™ as well as the dietitians guided the participants to report all foods consumed the previous day. Compl-eat™ on average underestimated the intake of energy by 8 %, of macronutrients by 10 % and of micronutrients by 13 % as compared with telephone recalls. The agreement between both methods, estimated using Lin's concordance coefficients (LCC), ranged from 0·15 for vitamin B1 to 0·70 for alcohol intake (mean LCC 0·38). The lower estimations by Compl-eat™ can be explained by a lower number of total reported foods and lower estimated intakes of the food groups, fats, oils and savoury sauces, sugar and confectionery, dairy and cheese. The performance of the tool may be improved by, for example, adding an option to automatically select frequently used foods and including more recall cues. We conclude that Compl-eat™ may be a useful tool in large-scale Dutch studies after suggested improvements have been implemented and evaluated.
Habitual diet and diet quality in Irritable Bowel Syndrome: A case-control study
Tigchelaar, Ettje F. ; Mujagic, Zlatan ; Zhernakova, Alexandra ; Hesselink, M. ; Meijboom, S. ; Perenboom, C.W.M. ; Masclee, A.A.M. ; Wijmenga, Cisca ; Feskens, E.J.M. ; Jonkers, D. - \ 2017
Neurogastroenterology & Motility 29 (2017)12. - ISSN 1365-2982
Background Diet is considered to be a key factor in symptom generation in Irritable Bowel Syndrome (IBS) and patients tend to exclude food products from their diet in pursue of symptom relief, which may impair diet quality. Methods We evaluated habitual dietary intake in IBS patients with regard to nutrients and food products using an extensive food frequency questionnaire. One hundred ninety-four IBS patients were compared to 186 healthy controls using multiple logistic regression analysis. An overall diet quality score was calculated for each participant based on the criteria of the Dutch Healthy Diet (DHD) index. Key Results A lower DHD-score was found for IBS (mean [SD]: 52.9 [9.6]) vs controls (55.1 [9.2], P=.02). The diet of patients was lower in fibers (21 g vs 25 g per day, P=.002) and fructose (14 g vs 16 g, P=.033), while higher in total fat (37% vs 36% of total energy intake, P=.010) and added sugars (46 g vs 44 g, P=.029). Differences in daily intake of food products included lower consumption of apples (40 g vs 69 g, P<.001), pasta (28 vs 37 g, P=.029) and alcoholic beverages (130 g vs 193 g, P=.024) and higher consumption of processed meat (38 g vs 29 g, P<.001). Some of these findings correlated with gastrointestinal symptoms, showing differences between IBS subtypes. Conclusions and Inferences Differences in habitual diet were described, showing lower diet quality in IBS patients compared to controls, with increased consumption of fat and lower intake of fibers and fructose. Our data support the importance of personalized and professional nutritional guidance of IBS patients.
|Development of a food frequency questionnaire for celiac patients in the Netherlands
Perenboom, C.W.M. ; Schultink, J.M. ; Gosselink, I.M.G. ; Vries, J.H.M. de - \ 2015
- 1 p.
To study the relationship between diet and health outcomes in celiac patients, a food frequency questionnaire (FFQ) would be helpful. To fit dietary habits of celiac patients, a validated Dutch FFQ was adjusted by adding specific gluten free foods. The Dutch National Food Consumption Survey 2010 (DNFCS) conducted among 10 participants who were on a gluten free diet and 27 food records of celiac patients, collected in a hospital, were used to select foods.
These data showed that for some patients gluten containing foods needed to be inquired. Therefore, two versions of the FFQ were designed, one including foods with gluten and one without these foods; the first version consisted of 20 items more than the second one. The first question inquired whether any gluten containing foods had been used in the past month. Depending on the participants response they received the first or second version.
A dietician specialised in celiac patients evaluated the FFQ. The FFQ was pre-tested in six celiac patients from the area of Wageningen. Finally the FFQ was completed by more than 500 participants. The nutritional data of the questionnaires was analysed using the Dutch Food Composition Table (2010). The intake of energy was on average 9.5MJ, of protein 14% of energy (en%) of total fat 36en%, of carbohydrates 46en%, of dietary fibre 2en% and of alcohol 3en% and
Development of the HELIUS food frequency questionnaires ethnic-specific questionnaires to assess the diet of a multiethnic population in The Netherlands
Beukers, M.H. ; Dekker, L.H. ; Boer, E.J. de; Perenboom, C.W.M. ; Meijboom, S. ; Nicolaou, M. ; Vries, J.H.M. de; Brants, H.A.M. - \ 2015
European Journal of Clinical Nutrition 69 (2015). - ISSN 0954-3007 - p. 579 - 584.
risk-factors - cardiovascular-disease - health - prevalence - europe - immigrants - chinese - cohort
Objectives: Ethnic minorities are often not included in studies of diet and health because of a lack of validated instruments to assess their habitual diets. Given the increased ethnic diversity in many high-income countries, insight into the diets of ethnic minorities is needed for the development of nutritional policies and interventions. In this paper, we describe the development of ethnic-specific food frequency questionnaires (FFQs) to study the diets of Surinamese (African and South Asian), Turkish, Moroccan and ethnic Dutch residents of The Netherlands. Methods: An existing Dutch FFQ was adapted and formed the basis for three new FFQs. Information on food intake was obtained from single 24¿h recalls. Food items were selected according to their percentage contribution to and variance in absolute nutrient intake of the respective ethnic groups. A nutrient database for each FFQ was constructed, consisting of data from the Dutch Food Composition table; data on ethnic foods were based on new chemical analyses and available international data. Results: We developed four ethnic-specific FFQs using a standardised approach that included ~200 food items each and that covered more than 90% of the intake of the main nutrients of interest. Conclusions: The developed FFQs will enable standardised and comparable assessment of the diet of five different ethnic groups and provide insight into the role of diet in differences in health between ethnic groups. The methodology described in this paper and the choices made during the development phase may be useful in developing similar FFQs in other settings.