Evidence map›Paper›PMID 28583073›Full record

ArticleBMC cardiovascular disorders2017

Does the presence of cardiovascular disease risk factors or established disease influence the dietary intake of affected adults and their children residing in the same household? A secondary analysis of the Australian Health Survey (2011-2013).

Jolene Thomas, Lily Chan, Amanda Wray, Jacqueline Miller, Kaye Mehta, Alison Yaxley, Kacie Dickinson, Louisa Matwiejczyk, Kathryn Jackson, Michelle Miller

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 1 institution in 1 country.

Jolene ThomasNutrition and Dietetics, Flinders University, Bedford Park, Adelaide, SA, 5042, Australia. jm.thomas@flinders.edu.au.ORCID 0000-0002-3264-843X
Lily ChanNutrition and Dietetics, Flinders University, Bedford Park, Adelaide, SA, 5042, Australia.
Amanda WrayNutrition and Dietetics, Flinders University, Bedford Park, Adelaide, SA, 5042, Australia.
Jacqueline MillerNutrition and Dietetics, Flinders University, Bedford Park, Adelaide, SA, 5042, Australia.
Kaye MehtaNutrition and Dietetics, Flinders University, Bedford Park, Adelaide, SA, 5042, Australia.
Alison YaxleyNutrition and Dietetics, Flinders University, Bedford Park, Adelaide, SA, 5042, Australia.
Kacie DickinsonNutrition and Dietetics, Flinders University, Bedford Park, Adelaide, SA, 5042, Australia.
Louisa MatwiejczykNutrition and Dietetics, Flinders University, Bedford Park, Adelaide, SA, 5042, Australia.
Kathryn JacksonNutrition and Dietetics, Flinders University, Bedford Park, Adelaide, SA, 5042, Australia.
Michelle MillerNutrition and Dietetics, Flinders University, Bedford Park, Adelaide, SA, 5042, Australia.
Flinders University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiet is an important contributor to risk of cardiovascular disease (CVD) and integral in management and delaying progression. Little is known however about whether increased CVD risk or established CVD has any influence on dietary intakes of Australian adults or children residing in the same household. This study aimed to determine whether the presence of CVD or CVD risk factors influences dietary intake of Australian adults and if the presence of an adult with increased CVD risk influences the dietary intake of a child living in the same household.

methodsData were sourced from the 2011-2013 Australian Health Survey for: (1) adults ≥18 years with risk factors or established CVD and (2) children 2-17 years residing in the same household as adults with CVD risk factors or established CVD. Selected nutrient intakes (total fat, saturated fat plus trans fat, alpha-linolenic acid, total long chain omega 3 fatty acids, fibre and sodium) collected by repeated 24 h recalls were compared to national dietary recommendations and to the intakes of all other adults and children surveyed. Standard errors of the estimates were calculated using the replicate weights method, and an alpha value of <0.05 considered statistically significant.

resultsSix thousand two hundred sixty five of 9435 adults surveyed were identified as having CVD risk factors or established disease and of these 1609 had a child in the same household that also contributed data in this survey. No differences were observed in adjusted mean dietary intakes between those without risk factors or established CVD and those with, except for total energy and sodium which were significantly lower in the adults with CVD risk factors and/or established disease. However sodium intakes across both groups were higher than recommended targets. There were no differences for selected nutrients between children residing with affected adults and other children surveyed.

conclusionsWhile intakes of Australian adults with CVD risk factors or established disease were favourable for sodium, compared to unaffected adults, there is still scope for improvement as many Australian adults, despite CVD risk, are unable to achieve targets for selected nutrients. Effective dietary behaviour change strategies and resources are urgently needed.

Indexed as

Child Nutritional Physiological PhenomenaFamily CharacteristicsFeeding BehaviorLife StyleNutritional StatusRisk Reduction BehaviorAdolescentAdolescent Nutritional Physiological PhenomenaAdultAgedAustraliaCardiovascular DiseasesChildChild, PreschoolDiet, HealthyFemaleAdultsCardiovascular diseaseChildrenDietNutrientsSodium

Identifiers

PMID28583073
PMCPMC5460358
OpenAlexW2621679901

What OpenQuestion holds

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LicenceCC BY
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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.