Evidence map›Paper›PMID 23964785›Full record

ArticleHealth and quality of life outcomes2013

The associations of body mass index with physical and mental aspects of health-related quality of life in Chinese patients with type 2 diabetes mellitus: results from a cross-sectional survey.

Carlos K H Wong, Yvonne Y C Lo, Winnie H T Wong, Colman S C Fung

Open access · goldAbstract read
In one paragraph

Article in Health and quality of life outcomes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Concept analysis of diabetes-related quality of life.Health and quality of life outcomes · 2025
    Review
  5. Review
  6. Health-Related Quality of Life Among Type 2 Diabetes Mellitus Patients Using the 36-ItemDiabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  7. Article
  8. Article
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  10. Health-related quality of life and health utilities in insulin-treated type 2 diabetes: the impact of related comorbidities/complications.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Article
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  16. Article
  17. Observational
  18. Main predictors in health-related quality of life in Chinese patients with type 2 diabetes mellitus.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    Article
  19. Validity and reliability of the 19-item Audit of Diabetes-Dependent Quality of Life (ADDQoL-19) questionnaire in Chinese patients with type 2 diabetes mellitus in primary care.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    Article
  20. Situation of Diabetes and Related Disease Surveillance in Rural Areas of Jilin Province, Northeast China.International journal of environmental research and public health · 2016
    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

4 authors at 1 institution in 1 country.

Carlos K H WongDepartment of Family Medicine and Primary Care, The University of Hong Kong, 3/F, Ap Lei Chau Clinic, 161 Ap Lei Chau Main Street, Ap Lei Chau, Hong Kong. cfsc@hku.hk.
Yvonne Y C Lo
Winnie H T Wong
Colman S C Fung
University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to determine the associations of various clinical factors with generic health-related quality of life (HRQOL) scores among Hong Kong Chinese patients with type 2 diabetes mellitus (T2DM) in the outpatient primary care setting using the short-form 12 (SF-12).

methodsA cross-sectional survey of 488 Chinese adults with T2DM recruited from a primary care outpatient clinic was conducted from May to August 2008. Data on the standard Chinese (HK) SF-12 Health Survey and patients' socio-demographics were collected from face-to-face interviews. Glycaemic control, body mass index (BMI), chronic co-morbidities, diabetic complications and treatment modalities were determined for each patient through medical records. Associations of socio-demographic and clinical factors with physical component summary (PCS-12) and mental component summary scores (MCS-12) were evaluated using multiple linear regression.

resultsThe socio-demographic correlates of PCS-12 and MCS-12 were age, gender and BMI. After adjustment for socio-demographic variables, the BMI was negatively associated with PCS-12 but positively associated with MCS-12. The presence of diabetic complications was associated with lower PCS-12 (regression coefficient:-3.0 points, p < 0.05) while being on insulin treatment was associated with lower MCS-12 (regression coefficient:-5.8 points, p < 0.05). In contrast, glycaemic control, duration of T2DM and treatment with oral hypoglycaemic drugs were not significantly associated with PCS-12 or MCS-12.

conclusionsAmong T2DM subjects in the primary care setting, impairments in the physical aspect of HRQOL were evident in subjects who were obese or had diabetic complications whereas defects in the mental aspect of HRQOL were observed in patients with lower BMI or receiving insulin injections.

Indexed as

Body Mass IndexHealth StatusAgedAge FactorsConfidence IntervalsCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHealth SurveysHong KongHumansMaleMiddle AgedQualitative ResearchQuality of LifeSex Factors

Identifiers

PMID23964785
PMCPMC3765933
OpenAlexW2167764962

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LicenceCC BY
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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.