Evidence map›Paper›PMID 29433580›Full record

ArticleNutrition journal2018

Dietary patterns and physical activity in the metabolically (un)healthy obese: the Dutch Lifelines cohort study.

Sandra N Slagter, Eva Corpeleijn, Melanie M van der Klauw, Anna Sijtsma, Linda G Swart-Busscher, Corine W M Perenboom, Jeanne H M de Vries, Edith J M Feskens, Bruce H R Wolffenbuttel, Daan Kromhout and 1 more

Abstract read
In one paragraph

Article in Nutrition journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Obesity and the risk of cardiometabolic diseases.Nature reviews. Cardiology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Sandra N SlagterDepartment of Endocrinology, University of Groningen, University Medical Center Groningen, HPC AA31, P.O. Box 30001, 9700, RB, Groningen, The Netherlands. s.n.slagter@umcg.nl.
Eva CorpeleijnDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, PO Box 30001, 9700, RB, Groningen, The Netherlands.
Melanie M van der KlauwDepartment of Endocrinology, University of Groningen, University Medical Center Groningen, HPC AA31, P.O. Box 30001, 9700, RB, Groningen, The Netherlands.
Anna SijtsmaLifelines Cohort Study, University of Groningen, University Medical Center Groningen, PO Box 30001, 9700, RB, Groningen, The Netherlands.
Linda G Swart-BusscherDepartment of Paramedical Sciences, University of Groningen, University Medical Center Groningen, PO Box 30001, 9700, RB, Groningen, The Netherlands.
Corine W M PerenboomDivision of Human Nutrition, Wageningen University, PO Box 17, 6700, AA, Wageningen, The Netherlands.
Jeanne H M de VriesDivision of Human Nutrition, Wageningen University, PO Box 17, 6700, AA, Wageningen, The Netherlands.
Edith J M FeskensDivision of Human Nutrition, Wageningen University, PO Box 17, 6700, AA, Wageningen, The Netherlands.
Bruce H R WolffenbuttelDepartment of Endocrinology, University of Groningen, University Medical Center Groningen, HPC AA31, P.O. Box 30001, 9700, RB, Groningen, The Netherlands.
Daan KromhoutDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, PO Box 30001, 9700, RB, Groningen, The Netherlands.
Jana V van Vliet-OstaptchoukDepartment of Endocrinology, University of Groningen, University Medical Center Groningen, HPC AA31, P.O. Box 30001, 9700, RB, Groningen, The Netherlands.

Funding

Dutch Diabetes Research Foundation 2013.81.1673FP7/2007-2013 261433NWO 175.010.2007.006
6 · The paper itself

Abstract

backgroundDiversity 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).

methodsCross-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.

resultsAmong 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)).

conclusionThe 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.

Indexed as

ExerciseAdultAgedBody Mass IndexCohort StudiesCross-Sectional StudiesDietFemaleHumansMaleMiddle AgedNetherlandsObesity, Metabolically BenignRisk FactorsDietary patternsLifestyleMetabolic healthObesityPhysical activity

Identifiers

PMID29433580
PMCPMC5809859

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.