Evidence map›Paper›PMID 32028546›Full record

ArticleEpidemiology and health2020

Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand.

Nayyereh Aminisani, Christine Stephens, Joanne Allen, Fiona Alpass, Seyed Morteza Shamshirgaran

Abstract read
In one paragraph

Article in Epidemiology and health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  12. Prevalence of Multimorbidity among Asian Indian, Chinese, and Non-Hispanic White Adults in the United States.International journal of environmental research and public health · 2020
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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

5 authors.

Nayyereh AminisaniDepartment of Epidemiology and Statistics, Faculty of Health Sciences, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Christine StephensSchool of Psychology, Massey University, Palmerston North, New Zealand.
Joanne AllenSchool of Psychology, Massey University, Palmerston North, New Zealand.
Fiona AlpassSchool of Psychology, Massey University, Palmerston North, New Zealand.
Seyed Morteza ShamshirgaranHealthy Aging Research Centre, Neyshabur University of Medical Sciences, Neyshabur, Iran.

Funding

Foundation for Research and TechnologyHealth Research Council of New ZealandMinistry of Business, Innovation and Employment
6 · The paper itself

Abstract

objectivesThe incidence of multimorbidity (MM) and its correlates among older adults remain poorly understood. This study aimed to examine the socio-demographic and lifestyle factors associated with MM in New Zealand.

methodsPeople aged 55-70 years were invited to participate in a population-based cohort study, the Health Work and Retirement Study, in 2006. Those who accepted the invitation and completed the baseline questionnaire were followed up on a biennial basis. Data on socio-demographic factors, health and lifestyle behaviours, and diagnoses of chronic diseases were obtained from baseline and 6 waves of follow-up. Generalised estimating equations (GEE) adjusted for both time-constant and time-varying factors were used to model factors associated with the onset of MM.

resultsA total of 1,673 participants (with 0 or 1 chronic condition) contributed to an overall 8,616 person-years of observation. There were 590 new cases of MM over 10 years of follow-up, corresponding to an overall incidence of 68.5 per 1,000 person-years. The results of the age- and sex-adjusted GEE analysis showed that age, ethnicity, living alone, obesity, hypertension, and having 1 chronic condition at baseline were significant predictors of MM onset. Higher education, income, physical activity, and regular alcohol consumption were protective factors. In a fully adjusted model, marital status (odds ratio [OR], 1.18; 95% confidence interval [CI], 1.01 to 1.37; p=0.039), hypertension (OR, 1.23; 95% CI, 1.02 to 1.48; p=0.032) and having 1 chronic condition at baseline (OR, 2.92; 95% CI, 2.33 to 3.67; p<0.001) remained significant.

conclusionsThe higher incidence of MM among Māori people, socioeconomically disadvantaged groups, those with low physical activity, and obese individuals highlights the importance of targeted prevention strategies.

Indexed as

MultimorbidityAgedFemaleHumansLife StyleMaleMiddle AgedNew ZealandRisk FactorsSocioeconomic FactorsDemographic factorsIncidenceLifestyleMultimorbidityNew Zealand

Identifiers

PMID32028546
PMCPMC7005455

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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.