Evidence map›Paper›PMID 39725416›Full record

ArticleBMJ open2024

How does the level of functional impairment vary in individuals with non-communicable disease and comorbidity? Cross-sectional analysis of linked census and administrative data in Aotearoa New Zealand.

Andrea M Teng, Lisa Underwood, Nicholas Bowden, Hamish Jamieson, Barry Milne

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Andrea M TengDepartment of Public Health, University of Otago Wellington, Wellington, New Zealand andrea.teng@otago.ac.nz.ORCID 0000-0002-6116-3941
Lisa UnderwoodUniversity of Auckland, Auckland, New Zealand.
Nicholas BowdenDepartment of Women's and Children's Health and Children's Health, University of Otago, Dunedin, New Zealand.
Hamish JamiesonMedicine, University of Otago, Dunedin, New Zealand.
Barry MilneUniversity of Auckland, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study examines national patterns of functional impairment, and how they vary by the presence of non-communicable disease (NCD), type of health condition, comorbidity, age, sex, ethnicity, deprivation and living situation.

designA cross-sectional examination using a national research database of linked administrative and survey data sets including census, tax and health data.

settingAotearoa New Zealand

participantsAll individuals living in NZ on 30 June 2018, identified by the Statistics NZ Integrated Data Infrastructure estimated residential population (4.79 million individuals). Nine NCDs among these individuals were identified from national health data sets using existing and adapted algorithms. PRIMARY AND SECONDARY OUTCOME MEASURES: Functional impairment was assessed via hospitalisations, comorbidities (Elixhauser index), activity limitations (census) and income support.

resultsThree-tenths (29%) of the population had at least one NCD. Functional impairment was strongly patterned by NCD prevalence (3% activity limitation in people without any NCDs, 13% if one or more NCDs and 25% if two or more NCDs). Activity limitation was most common in individuals with dementia (68% activity limitation), stroke (42%) and coronary heart disease (26%). After age stratification, there was also a high level of activity limitation and income support in people with mental health conditions. Māori and Pacific peoples and people living in deprived areas or alone were more likely to have functional impairment.

conclusionsFunctional impairment was strongly patterned by NCD type. NCD prevention efforts and disability supports are needed to reduce the burden of disability experienced.

Indexed as

CensusesComorbidityNoncommunicable DiseasesAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCross-Sectional StudiesFemaleHumansMaleMiddle AgedNew ZealandPrevalenceChronic DiseaseCoronary heart diseaseDementiaDisabled PersonsHospitalizationStroke

Identifiers

PMID39725416
PMCPMC11683896

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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.