Evidence map›Paper›PMID 37071702›Full record

ArticleNursing open2023

Investigation on risk factors of chronic diseases among community residents: A study based on health management systems supported by Mobile phones.

Ru-Zhen Luo, Qi Lu, Yumei Sun, Hongyu Sun, Yan-Hui Liu, Yue Zhao

Open access · goldAbstract read
In one paragraph

Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 4 institutions in 1 country.

Ru-Zhen LuoXiangya School of Nursing, Central South University, Changsha, China.
Qi LuSchool of Nursing, Tianjin Medical University, Tianjin, China.
Yumei SunDivision of Medical & Surgical Nursing, Peking University School of Nursing, Beijing, China.
Hongyu SunDivision of Humanity & Social Sciences, Peking University School of Nursing, Beijing, China.ORCID 0000-0003-3294-1262
Yan-Hui LiuSchool of Nursing, Tianjin University of Traditional Chinese Medicine, Tianjin, China.ORCID 0000-0003-3620-3646
Yue ZhaoSchool of Nursing, Tianjin Medical University, Tianjin, China.
Peking University · CNTianjin Medical University · CNCentral South University · CNTianjin University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo explore the physical and mental health status of community residents and to identify the risk factors of chronic diseases.

designA cross-sectional, descriptive correlational study was conducted.

methodsA total of 579 participants were recruited from 15 communities in Tianjin. The demographic information sheet, 7-item Generalized Anxiety Disorder scale (GAD-7) and Patient Health Questionnaire (PHQ-9) were used. Data collection was undertaken based on the health management system on mobile phones from April to May 2019.

resultsEighty-four participants of the total number of surveyed were with chronic disease. The incidence of depression and anxiety in participants was 44.2% and 41.3%. Logistic regression analysis showed that age (OR = 4.905, 95%CI: 2.619-9.187), religious belief (OR = 0.445, 95%CI: 1.510-11.181) and working condition (OR = 0.161, 95%CI: 0.299-0.664) entered the regression equation. Old age is a risk factor for chronic diseases. No religious belief and working condition are protective factors for chronic diseases.

Indexed as

Cell PhoneDepressionChronic DiseaseCross-Sectional StudiesHumansRisk FactorsSurveys and Questionnaireschronic diseasescommunity residentshealth management systemsrisk factors

Identifiers

PMID37071702
PMCPMC10333871
OpenAlexW4366242338

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.