Evidence map›Paper›PMID 36717796›Full record

ArticleBMC pulmonary medicine2023

Prevalence of and factors associated with alexithymia among patients with chronic obstructive pulmonary disease in China: a cross-sectional study.

Huaizhong Zhang, Yixuan Wang, Heqing Lou, Yanan Zhu, Zongmei Dong, Dong Dong, Peipei Chen, Xuan Zhu, Bi Chen, Pan Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  10. Article
  11. Alexithymia and asthma: a systematic review.Frontiers in psychology · 2023
    Review
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

10 authors at 3 institutions in 1 country.

Huaizhong ZhangDepartment of Psychiatry, Xuzhou Cancer Hospital, Xuzhou, 221000, Jiangsu, China.
Yixuan WangDepartment of Control and Prevention of Chronic Non-Communicable Diseases, Xuzhou Center for Disease Control and Prevention, 142 West Erhuan Road, Xuzhou, 221006, China.
Heqing LouDepartment of Control and Prevention of Chronic Non-Communicable Diseases, Xuzhou Center for Disease Control and Prevention, 142 West Erhuan Road, Xuzhou, 221006, China.
Yanan ZhuDepartment of Respiratory Medicine of the Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Zongmei DongDepartment of Control and Prevention of Chronic Non-Communicable Diseases, Xuzhou Center for Disease Control and Prevention, 142 West Erhuan Road, Xuzhou, 221006, China.
Dong DongDepartment of Psychiatry, Xuzhou Cancer Hospital, Xuzhou, 221000, Jiangsu, China.
Peipei ChenDepartment of Control and Prevention of Chronic Non-Communicable Diseases, Xuzhou Center for Disease Control and Prevention, 142 West Erhuan Road, Xuzhou, 221006, China.
Xuan ZhuDepartment of Control and Prevention of Chronic Non-Communicable Diseases, Xuzhou Center for Disease Control and Prevention, 142 West Erhuan Road, Xuzhou, 221006, China.
Bi ChenDepartment of Respiratory Medicine of the Affiliated Hospital of Xuzhou Medical University, Xuzhou, China. 1981715283@qq.com.
Pan ZhangDepartment of Control and Prevention of Chronic Non-Communicable Diseases, Xuzhou Center for Disease Control and Prevention, 142 West Erhuan Road, Xuzhou, 221006, China. xzzhangpan@126.com.
Jiangsu University · CNXuzhou Medical College · CNLiu Zhou Center for Disease Prevention and Control · CN

Funding

Jiangsu Province "six talent peaks" high-level talent project wsn-081the Science and Technology projects of Xuzhou City in 2021 KC21237
6 · The paper itself

Abstract

backgroundAlexithymia is a common psychological disorder. However, few studies have investigated its prevalence and predictors in patients with chronic obstructive pulmonary disease (COPD). Therefore, we aimed to determine the prevalence and predictors of alexithymia in Chinese patients.

methodsThis cross-sectional study included 842 COPD patients to assess the prevalence and predictors of alexithymia using the 20-item Toronto Alexithymia Scale (TAS-20). We used the Hospital Anxiety and Depression Scale (HADS) to assess anxiety and depression, the modified British Medical Research Council dyspnea Rating Scale (mMRC) to assess dyspnea, St. George's Respiratory Questionnaire (SGRQ) to assess quality of life, and the age-adjusted Charlson comorbidity index (ACCI) to assess comorbidities. Alexithymia-related predictors were identified using univariate and multivariate logistic regression analyses.

resultsThe prevalence of alexithymia in COPD patients was 23.6% (199/842). Multivariate analysis showed that age [odds ratio (OR) 0.886; 95% confidence interval (CI) 0.794-0.998], body mass index (OR 0.879; 95% CI 0.781-0.989), HADS-anxiety (OR 1.238; 95% CI 1.097-1.396), HADS-depression (OR 1.178; 95% CI 1.034-1.340), mMRC (OR 1.297; 95% CI 1.274-1.320), SGRQ (OR 1.627; 95% CI 1.401-1.890), ACCI (OR 1.165; 95% CI 1.051-1.280), and GOLD grade (OR 1.296; 95% CI 1.256-1.337) were independent predictors for alexithymia in patients with COPD.

conclusionsThe prevalence of alexithymia was high in Chinese COPD patients. Anxiety, depression, dyspnea, quality of life, comorbidities, and disease severity are independent risk factors, and age and BMI are predictive factors for alexithymia in COPD patients.

Indexed as

Pulmonary Disease, Chronic ObstructiveQuality of LifeAffective SymptomsCross-Sectional StudiesDyspneaForced Expiratory VolumeHumansPrevalenceSurveys and QuestionnairesAlexithymiaChronic obstructive pulmonary diseaseCross-sectionalInvestigationPredictive factorsPrevalence

Identifiers

PMID36717796
PMCPMC9885611
OpenAlexW4318465603

What OpenQuestion holds

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LicenceCC BY
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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.