Evidence map›Paper›PMID 38721787›Full record

ArticleBJPsych open2024

Determining cut-off values and predictors for the Snaith-Hamilton Pleasure Scale: comparison between clinical and school settings.

Yen-Chung Ho, Susan Shur-Fen Gau, Ying-Sian Wu, Chun-Hsin Chen, Jiunn-Kae Wang, Hsin-Chien Lee, Kuo-Hsuan Chung, Yi-Hang Chiu, Kah Kheng Goh, Mong-Liang Lu and 3 more

Abstract read
In one paragraph

Article in BJPsych open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Anhedonic Traits Do Not Impair Performance in a 3-Arm Bandit Task.Computational psychiatry (Cambridge, Mass.) · 2026
    Article
  3. Article
  4. 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.

Yen-Chung HoSchool of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-0028-1549
Susan Shur-Fen GauDepartment of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan; Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan; and Department of Psychology, National Taipei University, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-2718-8221
Ying-Sian WuSchool of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; and Department of Nursing, Taipei Veterans General Hospital, Yuli Branches, Hualien, Taiwan.
Chun-Hsin ChenDepartment of Psychiatry and Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan; and Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Jiunn-Kae WangDepartment of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; and Department of Psychiatry, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan.
Hsin-Chien LeeGraduate Institute of Humanities in Medicine, College of Humanities & Social Sciences, Taipei Medical University, Taipei, Taiwan; and Department of Psychiatry & Sleep Center, Taipei Medical University Hospital, Taipei, Taiwan.
Kuo-Hsuan ChungDepartment of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; and Department of Psychiatry and Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan.
Yi-Hang ChiuDepartment of Psychiatry and Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Kah Kheng GohDepartment of Psychiatry and Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Mong-Liang LuDepartment of Psychiatry and Psychiatric Research Center, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan; and Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Yu-Chun LinDepartment of Nursing, College of Nursing, National Yang Ming Chiao Tung University, Taipei City, Taiwan; and Department of Nursing, College of Nursing, Efficient Smart Care Research Center, National Yang Ming Chiao Tung University, Taipei City, Taiwan.
Pi-Chen ChangSchool of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
Hsiu-Ju ChangDepartment of Nursing, College of Nursing, National Yang Ming Chiao Tung University, Taipei City, Taiwan; and Department of Nursing, College of Nursing, Efficient Smart Care Research Center, National Yang Ming Chiao Tung University, Taipei City, Taiwan.ORCID https://orcid.org/0000-0002-8544-0712

Funding

National Science and Technology Council
6 · The paper itself

Abstract

backgroundFew previous studies have established Snaith-Hamilton Pleasure Scale (SHAPS) cut-off values using receiver operating characteristic curve analysis and applied these values to compare predictors of anhedonia between clinical and nonclinical groups.

aimsTo determine the optimal cut-off values for the SHAPS and use them to identify predictors of anhedonia in clinical and nonclinical groups in Taiwan.

methodThis cross-sectional and correlational study used convenience sampling to recruit 160 patients from three hospitals and 412 students from two universities in northern Taiwan. Data analysis included receiver operating characteristic curve, univariate and multivariate analyses.

resultsThe optimal SHAPS cut-off values were 29.5 and 23.5 for the clinical and nonclinical groups, respectively. Moreover, two-stage analysis revealed that participants in the clinical group who perceived themselves as nondepressed, and participants in the nonclinical group who did not skip classes and whose fathers exhibited higher levels of care and protection were less likely to attain the cut-off values. Conversely, participants in the nonclinical group who reported lower academic satisfaction and were unwilling to seek help from family or friends were more likely to attain the cut-off values.

conclusionsOur findings highlight the importance of optimal cut-off values in screening for depression risk within clinical and nonclinical groups. Accordingly, the development of comprehensive, individualised programmes to monitor variation trends in SHAPS scores and relevant predictors of anhedonia across different target populations is crucial.

Indexed as

AnhedoniadepressionROC curveSHAPS

Identifiers

PMID38721787
PMCPMC11094454

What Socratic 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 Socratic graph.