Evidence map›Paper›PMID 36090662›Full record

ArticleJournal of multimorbidity and comorbidity

Relationship between multimorbidity and composite lifestyle status in Shenzhen, China.

Hua-Lu Yang, Bei-Rong Mo, Alex Molassiotis, Mian Wang, Gui-Lan He, Yao Jie Xie

Abstract read
In one paragraph

Article in Journal of multimorbidity and comorbidity. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Patient-reported outcomes and their associated factors at 1- and 2-year follow-up after lumbar spine surgery: a surgery registry study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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.

Hua-Lu YangDepartment of Nursing, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.ORCID https://orcid.org/0000-0001-9029-7394
Bei-Rong MoDepartment of Nursing, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
Alex MolassiotisSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Mian WangSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Gui-Lan HeDepartment of Nursing, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
Yao Jie XieSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID https://orcid.org/0000-0001-9289-4985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The study aimed to understand multimorbidity among adults in a high-tech city in southern coastal China that has undergone rapid economic development and to investigate its relationship with lifestyle status. Methods: A population-based survey was conducted among 24 community centers in the Nanshan District of Shenzhen from February to December of 2018. Participants were recruited using a stratified random sampling approach. A self-administered questionnaire on typical chronic diseases, lifestyle factors, body composition, and social demographics was used to collect data. Multimorbidity was defined as two or more chronic diseases coexisting in a single person. An algorithm on body mass index, physical activity, drinking, smoking, and sleep quality was used to calculate lifestyle scores (0-9), with higher scores predicting a healthier lifestyle. Results: A total of 2,905 participants were included in the analysis, with men accounting for 52.4%, and single for 25%. The prevalence of multimorbidity was 4.8%, and the mean lifestyle score was 4.79 ± 1.55. People who were old, retired, married, and had less education were more likely to have multimorbidity (all P < .05). A higher prevalence of multimorbidity was found among those who were obese, less engaged in physical activity, consumed more alcohol, and had poorer sleep quality (all p < .05). After adjusting for age, employment, education, and marital status, one unit increase in lifestyle score was associated with 0.74 times lower to have multimorbidity (OR: 0.74; 95% CI: 0.63-0.87, p < .05). Conclusion: The prevalence of multimorbidity was relatively low in economically developed Shenzhen. Keeping a healthy lifestyle was related to the lower possibility of suffering from multiple chronic diseases.

Indexed as

body mass indexdrinkingexerciseLifestylesleepsmoking

Identifiers

PMID36090662
PMCPMC9449505

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.