Evidence map›Paper›PMID 37444739›Full record

ArticleHealthcare (Basel, Switzerland)2023

The Multimorbidity and Lifestyle Correlates in Chinese Population Residing in Macau: Findings from a Community-Based Needs Assessment Study.

Qingling Yang, Quanzhi Zhang, Fei Wan Ngai, Shaoling Wang, Dexing Zhang, Yang Gao, Chun Hao, Harry Haoxiang Wang, Oi Ching Bernice Lam Nogueira, Ming Liu and 3 more

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Qingling YangSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID 0000-0002-2058-9970
Quanzhi ZhangSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Fei Wan NgaiSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Shaoling WangSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID 0000-0002-2814-8360
Dexing ZhangThe Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
Yang GaoDepartment of Sport, Physical Education, and Health, Hong Kong Baptist University, Hong Kong SAR, China.ORCID 0000-0003-0439-4804
Chun HaoSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Harry Haoxiang WangSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID 0000-0002-0361-6527
Oi Ching Bernice Lam NogueiraSchool of Health Sciences and Sports, Macao Polytechnic Institute, Macao 999078, China.
Ming LiuSchool of Health Sciences and Sports, Macao Polytechnic Institute, Macao 999078, China.
Alex MolasiotisHealth and Social Care Research Centre, University of Derby, Derby DE22 1GB, UK.ORCID 0000-0001-6351-9991
Alice LokeSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID 0000-0002-0676-8139
Yaojie XieSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID 0000-0001-9289-4985

Funding

Macau Galaxy Entertainment Foundation NA
6 · The paper itself

Abstract

Multimorbidity has become one of the most pressing public health concerns worldwide. The objectives of this study were to understand the prevalence of multimorbidity and its relationship with lifestyle factors among Chinese adults in Macau, and to investigate the combined contribution of common lifestyle factors in predicting multimorbidity. Data were collected through face-to-face interviews using a self-reported questionnaire on common chronic diseases, lifestyle factors and sociodemographics. BMI, physical activity, drinking status, smoking status and sleep quality were assessed, and a composite lifestyle score (0 to 9 points) was calculated, and the higher the score, the healthier the lifestyle. A total of 1443 participants were included in the analysis, of whom 55.2% were female, 51.8% were middle aged or elderly and 30.5% completed tertiary education or higher. The prevalence of multimorbidity was 10.3%. The combination of hypertension and hyperlipidaemia was the most common (22.2%) multimorbidity among the participants with multimorbidity. After the adjustment of the covariates, it was found that the participants who were overweight (OR: 1.95, 95% CI: 1.18-3.20,

Indexed as

BMIdrinkinglifestylemultimorbiditysleeping

Identifiers

PMID37444739
PMCPMC10341319

What OpenQuestion holds

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Registered trials

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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.