Evidence map›Paper›PMID 35270347›Full record

ArticleInternational journal of environmental research and public health2022

Factors Associated with Attitudes toward Aging among Taiwanese Middle-Aged and Older Adults: Based on Population-Representative National Data.

Shu-Hsin Lee, Chih-Jung Yeh, Cheng-Yu Yang, Ching-Yi Wang, Meng-Chih Lee

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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

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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.

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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

5 authors.

Shu-Hsin LeeDepartment of Nursing, Chung Shan Medical University, Taichung 402306, Taiwan.
Chih-Jung YehDepartment of Public Health, Chung Shan Medical University, Taichung 402306, Taiwan.
Cheng-Yu YangDepartment of Physical Therapy, Chung Shan Medical University, Taichung 402306, Taiwan.
Ching-Yi WangDepartment of Physical Therapy, Chung Shan Medical University, Taichung 402306, Taiwan.ORCID 0000-0002-8962-4797
Meng-Chih LeeInstitute of Medicine, Chung Shan Medical University, Taichung 402306, Taiwan.ORCID 0000-0003-4650-395X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In middle-aged and older adults, attitude toward aging (ATA) exerts significant influences on their current and future health. For health promotion to be successful, participants' ATA requires health care providers' attention. Knowing the factors associated with ATA can facilitate future studies to investigate effective interventions. The aim of this study was to identify the factors associated with ATA in middle-aged and older adults. This cross-sectional study analyzed data of a nationally representative sample of adults aged 58 years and older collected in a population-based longitudinal study: the Taiwan Longitudinal Study on Aging (TLSA). To identify the factors associated with ATA, we investigated demographic factors (age, gender, education, marital and cohabitation status, and financial satisfaction status) and health-related factors (number of co-morbidities, depression, physical function dependency) with bivariate analysis and multiple regression analysis. To identify the activities beneficial to ATA over and above demographic and health-related factors, various activities (exercise, volunteer service, and leisure activities) were each examined individually by multiple regression analysis. The factors detrimental to ATA were advanced age, a higher number of co-morbidities, living alone, depression, and dependence on physical function. Those beneficial to ATA were higher education, financial satisfaction, physical exercise, volunteer service, and six leisure activities.

Indexed as

AgingLeisure ActivitiesAgedAttitudeCross-Sectional StudiesHumansLongitudinal StudiesMiddle AgedTaiwanattitude toward agingleisure activitiesphysical exercisevolunteer service

Identifiers

PMID35270347
PMCPMC8910351

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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.