Evidence map›Paper›PMID 34850591›Full record

ArticleNursing open2022

A survey of social network status and its related factors for older adults with type 2 diabetes in Beijing, China.

Kailian Yang, Yu Liu, Xing Yin, Shishi Wu, Quanying Wu, Li Wang, Jiayue Li

Abstract read
In one paragraph

Article in Nursing open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

7 authors.

Kailian YangSchool of Nursing, Beijing University of Chinese Medicine, Beijing, China.ORCID 0000-0002-8654-2550
Yu LiuSchool of Nursing, Beijing University of Chinese Medicine, Beijing, China.ORCID 0000-0001-8678-3381
Xing YinNursing Department, Zhaoqing Medical College, Zhaoqing, China.
Shishi WuSchool of Nursing, Beijing University of Chinese Medicine, Beijing, China.
Quanying WuDepartment of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Li WangNursing Department, Fangzhuang Community Health Service Center, Beijing, China.
Jiayue LiDepartment of Endocrinology, the Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo understand the social network status of older adults with type 2 diabetes mellitus (T2DM) in Beijing, China and explore its related factors.

designA cross-sectional survey using a sample of convenience was conducted.

methodsFrom April to September 2019, Lubben Social Network Scale-6 (LSNS-6) was used to evaluate the social network of 300 older adults with T2DM from the outpatient and inpatient departments of three hospitals and five communities in Beijing. Self-designed demographics and clinical sheets, Summary of Diabetes Self-Care Activities Scale, Social Support Rating Scale and Geriatric Depression Scale-15 were used to investigate the related factors of their social networks. The Equator Research Checklist used in this study is STROBE checklist.

resultsThe score of LSNS-6 of the older adults was 16.75 ± 7.02 (scale: 0 ~ 30), the score of family network dimension was 8.32 ± 3.63 (scale: 0 ~ 15), and friends network dimension was 8.43 ± 4.74 (scale: 0 ~ 15). Additionally, 22.67% of the older adults had social isolation. Social support, medical payment, self-assessed health status, residential arrangement and smoking status were associated with the social network level of the older adults with T2DM (p < .05).

Indexed as

Diabetes Mellitus, Type 2AgedBeijingCross-Sectional StudiesHumansSocial NetworkingSurveys and Questionnairesdiabetes mellitus, type 2older adultself-managementsocial networksocial support

Identifiers

PMID34850591
PMCPMC8859026

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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.