Evidence map›Paper›PMID 32731459›Full record

ArticleInternational journal of environmental research and public health2020

Effects of Disability Type on the Association between Age and Non-Communicable Disease Risk Factors among Elderly Persons with Disabilities in Shanghai, China.

Xichen Wang, Mei Sun, Xiaohong Li, Jun Lu, Gang Chen

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  7. Healthcare Professionals' Perceptions of Loneliness amongst Older Adults: A Qualitative Study.International journal of environmental research and public health · 2021
    Article
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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 at 1 institution in 1 country.

Xichen WangDepartment of Health Law and Health Inspection, School of Public Health, Fudan University, Shanghai 200032, China.ORCID 0000-0002-8491-9537
Mei SunChina Research Center on Disability Issues at Fudan University, Shanghai 200032, China.
Xiaohong LiChina Research Center on Disability Issues at Fudan University, Shanghai 200032, China.
Jun LuChina Research Center on Disability Issues at Fudan University, Shanghai 200032, China.
Gang ChenDepartment of Health Law and Health Inspection, School of Public Health, Fudan University, Shanghai 200032, China.
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known about differences in the association between age and risk factors of non-communicable diseases (NCDs), according to the disability type in Chinese elderly persons with disabilities. Thus, we examined the effects of these differences in elderly persons with disabilities in Shanghai, China. We evaluated four NCD risk factors (hypertension, hyperglycemia, hyperlipidemia, and overweight) using health data obtained from 20,471 elderly persons with disabilities in 2017. Logistic regression analyses explored differences in the association between age and NCD risk factors according to the disability types, after adjusting for sociodemographic characteristics. We observed significant differences in the association between age and NCD risk factors across disability types; a significant association was observed between older age and higher odds of hypertension (

Indexed as

AgedChinaFemaleHumansHypertensionMaleNoncommunicable DiseasesPersons with DisabilitiesPrevalenceRisk Factorsdisabilityelderly populationnon-communicable disease risk factor

Identifiers

PMID32731459
PMCPMC7432529
OpenAlexW3046101159

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.