Evidence map›Paper›PMID 28351404›Full record

ArticleNutrition journal2017

Longitudinal 10-year changes in dietary intake and associations with cardio-metabolic risk factors in the Northern Sweden Health and Disease Study.

Anna Winkvist, Sofia Klingberg, Lena Maria Nilsson, Maria Wennberg, Frida Renström, Göran Hallmans, Kurt Boman, Ingegerd Johansson

Open access · goldAbstract read
In one paragraph

Article in Nutrition journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 5% of its field
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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

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  11. Protein Intake and Its Association With Meal Patterns and Dietary Patterns in a Swedish Population of Older Adults.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
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  20. Tolerable upper intake level for dietary sugars.EFSA journal. European Food Safety Authority · 2022
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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

8 authors at 5 institutions in 1 country.

Anna WinkvistDepartment of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden. anna.winkvist@nutrition.gu.se.
Sofia KlingbergSection for Epidemiology and Social Medicine (EPSO), Department of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden.
Lena Maria NilssonArcum, Arctic Research Centre at Umeå University, Umeå, Sweden.
Maria WennbergDepartment of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden.
Frida RenströmDepartment of Biobank Research, Umeå University, Umeå, Sweden.
Göran HallmansDepartment of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden.
Kurt BomanResearch Unit, Medicine-geriatric clinic Skellefteå, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Ingegerd JohanssonDepartment of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden.
Umeå University · SEArctic Research Centre · SELund University · SESkellefteå Hospital · SEUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDietary risks today constitute the largest proportion of disability-adjusted life years (DALYs) globally and in Sweden. An increasing number of people today consume highly processed foods high in saturated fat, refined sugar and salt and low in dietary fiber, vitamins and minerals. It is important that dietary trends over time are monitored to predict changes in disease risk.

methodsIn total, 15,995 individuals with two visits 10 (±1) years apart in the population-based Västerbotten Intervention Programme 1996-2014 were included. Dietary intake was captured with a 64-item food frequency questionnaire. Percent changes in intake of dietary components, Healthy Diet Score and Dietary Inflammatory Index were calculated and related to body mass index (BMI), serum cholesterol and triglyceride levels and blood pressure at the second visit in multivariable regression analyses.

resultsFor both sexes, on group level, proportion of energy intake (E%) from carbohydrates and sucrose decreased (largest carbohydrate decrease among 40 year-olds) and E% protein and total fat as well as saturated and poly-unsaturated fatty acids (PUFA) increased (highest protein increase among 30 year-olds and highest fat increase among 60 year-olds) over the 10-year period. Also, E% trans-fatty acids decreased. On individual basis, for both sexes decreases in intake of cholesterol and trans-fatty acids were associated with lower BMI and serum cholesterol at second visit (all P < 0.05). For men, increases in intake of whole grain and Healthy Diet Score were associated with lower BMI and serum cholesterol at second visit (all P < 0.05). Also for men, decreases in intake of trans-fatty acids and increases in Healthy Diet Score were associated with lower systolic blood pressure at second visit (P = 0.002 and P < 0.000). For women, increases in intake of PUFA and Healthy Diet Score were associated with lower BMI at second visit (P = 0.01 and P < 0.05). Surprisingly, increases in intake of sucrose among women were associated with lower BMI at second visit (P = 0.02).

conclusionsIn this large population-based sample, dietary changes over 10 years towards less carbohydrates and more protein and fat were noted. Individual changes towards the Nordic dietary recommendations were associated with healthier cardio-metabolic risk factor profile at second visit.

Indexed as

Diet, HealthyAdultBlood PressureBody Mass IndexCardiovascular DiseasesCholesterolExerciseFemaleFollow-Up StudiesHumansLife StyleLongitudinal StudiesMaleMetabolic SyndromeMiddle AgedRisk FactorsCholesterolTriglyceridesBody mass indexDietary Inflammatory IndexDiet intakeHealthy Diet ScoreNorthern Sweden Diet DatabasePopulation-basedSerum lipidsSweden

Identifiers

PMID28351404
PMCPMC5370464
OpenAlexW2597712740

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.