Evidence map›Paper›PMID 40869775›Full record

ArticleInternational journal of environmental research and public health2025

Hope and Loneliness as Predictors of Quality of Life Among Rural Older Adults in Thailand: A Cross-Sectional Study.

Bovornpot Choompunuch, Naphat Wuttaphan, Wipanee Suk-Erb

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Bovornpot ChoompunuchDepartment of Educational Psychology and Guidance, Faculty of Education, Mahasarakham University, Maha Sarakham 44000, Thailand.ORCID 0000-0002-4309-9608
Naphat WuttaphanDepartment of Human Resource and Organization Management, Faculty of Management Science, Pibulsongkram Rajabhat University, Phitsanulok 65000, Thailand.
Wipanee Suk-ErbDepartment of Educational Psychology and Guidance, Faculty of Education, Mahasarakham University, Maha Sarakham 44000, Thailand.ORCID 0000-0001-7130-0295

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hope and loneliness are significant psychosocial factors that greatly influence the quality of life (QoL) among older adults. However, few studies have examined these constructs simultaneously in rural aging populations in Southeast Asia. This study aimed to investigate the relationships between hope, loneliness, and QoL among community-dwelling older adults in northeastern Thailand. A cross-sectional study was conducted with 250 participants aged 60 years and older, recruited through convenience sampling. Descriptive statistics summarized participant characteristics, while hierarchical regression identified QoL predictors. The participants (mean age = 70.41 years; 52.8% female) reported a high level of hope (M = 33.35), a moderate level of loneliness (M = 8.81), and a good level of QoL (M = 99.13). Hierarchical regression analysis revealed that age, occupation, monthly income, income source, education, health insurance, comorbidities, hope, and loneliness were significant predictors of QoL. Together, these factors accounted for 55.1% of the variance in QoL. Both hope and loneliness have a significant impact on QoL in older adults. Interventions designed to reduce loneliness and foster hope may prove effective in enhancing the well-being of aging populations. These findings underscore the importance of integrating psychosocial and community-based approaches into geriatric care and public health planning.

Indexed as

HopeLonelinessQuality of LifeRural PopulationAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedThailandhopelonelinessolder adultspsychosocial healthquality of liferural Thailand

Identifiers

PMID40869775
PMCPMC12386248

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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.