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Record W2990845613 · doi:10.1186/s12888-019-2327-9

Efficacy of path-oriented psychological self-help interventions to improve mental health of empty-nest older adults in the Community of China

2019· article· en· W2990845613 on OpenAlexfundno aff
Li-Na Wang, Hong Tao, Mi Wang, Hong-Wei Yu, Su Hong, Bei Wu

Bibliographic record

VenueBMC Psychiatry · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaChina Scholarship CouncilYork University
KeywordsPsychological interventionChinaMental healthPsychologyPsychiatryClinical psychologyGeography

Abstract

fetched live from OpenAlex

Abstract Background China has the world’s largest aging population and the number of empty-nest older adults is on the rise. In comparison to the aging population in general, empty-nest older adults have a lower level of subjective well-being and poorer mental health status due to a lack of emotional support from their children. The aim of this study is to conduct an empirical study to evaluate the efficacy of the ‘Path-oriented Psychological Self-help Intervention’ (P-oPSI) led by nurses on the mental health of empty-nest older adults in the community, to provide a scientific foundation for improving their quality of life. Methods A Quasi-Experimental controlled intervention study was conducted from 2015 to 2017. A total of 76 empty-nest older adults from 2 districts were recruited using a convenience sampling and assigned to 2 groups based on their residential communities in the city of Chifeng in the Inner Mongolia Autonomous Region, China. The wait list control group participated in a mental health lecture to gain knowledge and learn techniques of mental health promotion. The intervention group additionally received 1 month of training in a nurse-led ‘P-oPSI’ for a month. Both groups were followed-up for 3 months. Mental health status, coping styles, and psychological self-help ability of the participating empty nest older adults were assessed at the baseline, 1 month, and 3-months follow up, respectively. Two-way analysis of variance and a simple effect test were used to analyse the differences of the two groups. Results The P-oPSI yielded a greater benefit for the mental health status, coping styles, and psychological self-help ability of the participants in the intervention group. Combined with a simple effect test, the scores of the mental health status, positive coping style, and psychological self-help ability of those in the intervention group significantly increased at 1 month after the baseline (F mental health status = 7.59, F positive coping style = 7.24, F psychological self-help ability = 7.07); and the sustainable effect of this program lasted for 3 months after the intervention (F mental health status = 13.24, F positive coping style = 10.42, F psychological self-help ability = 10.45), which reached statistical significance (P < 0.01). Conclusions The P-oPSI program significantly improved the level of mental health of empty-nest older adults in China. This intervention provides a new approach of self-management to improve mental health of older adults in community settings. Trial registration chictr.org.cn : ChiCTR1900025552 . Retrospectively registered 1 September 2019.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.380
Teacher spread0.356 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations19
Published2019
Admission routes1
Has abstractyes

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