Evidence map›Paper›PMID 33233988›Full record

ArticleAmerican journal of men's health

The Relations Among Physical Indicators, Cognitive Status, Community Participation, and Depression of the Frail Male Elderly in Taiwan.

Hsiang-Chun Lin, Shu-Fang Chang, Yen-Hung Chen

Open access · goldAbstract read
In one paragraph

Article in American journal of men's health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 2 institutions in 1 country.

Hsiang-Chun LinDepartment of Nursing, College of Nursing, Chang Jung Christian University of Nursing, Tainan.
Shu-Fang ChangDepartment of Nursing, College of Nursing, National Taipei University of Nursing and Health Sciences, Taipei.ORCID 0000-0002-1722-1905
Yen-Hung ChenDepartment of Information Management, National Taipei University of Nursing and Health Sciences, Taipei.
National Taipei University of Nursing and Health Science · TWChang Jung Christian University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explored the basic attributes, physiological indices, cognitive states, and community participation of older male outpatients with frailty for predicting depression. Questionnaires were collected using purposive sampling from a medical clinic in a teaching hospital in northern Taiwan. One hundred and ninety frail men enrolled as participants. The results revealed that older male adults with frailty, the age, residence, income, self-reported health status, alcohol consumption, total instrumental activities of daily living (IADL) scores in physiological indices, IADL grouping, cognitive state score, each Mini-Mental State Examination category, and involvement and dedication scores exhibited statistical differences from depression scores. Depression determinants, such as an excellent and normal self-reported health status and IADL total score, could predict the depression status of male older adults with frailty. Nursing personnel should assess the self-reported health status and self-care ability of male older adults with frailty early to prevent or delay geriatric depression.

Indexed as

Activities of Daily LivingFrail ElderlyAgedCognitionCommunity ParticipationCross-Sectional StudiesGeriatric AssessmentHumansMaleTaiwancognitive statecommunity participationdepression statusfrailtymalephysiological index

Identifiers

PMID33233988
PMCPMC7691922
OpenAlexW3108157315

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.