Evidence map›Paper›PMID 33256628›Full record

ArticleBMC geriatrics2020

The factors of adaptation to nursing homes in mainland China: a cross-sectional study.

Changxian Sun, Yiting Yu, Xuxu Li, Yan Cui, Yaping Ding, Shuqin Zhu, Xianwen Li, Shen Chen, Rong Zhou

Registry-linked trialAbstract read
In one paragraph

Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06841133 (The Effectiveness of Chinese Art Activities Combined With Peer Group Participation on Psychological Well Being Among Newly Old Chinese of Elderly Center), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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.

NCT06841133 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

The Effectiveness of Chinese Art Activities Combined With Peer Group Participation on Psychological Well Being Among Newly Old Chinese of Elderly Center: Randomized Controlled Trail

TypeinterventionalSponsorPrince of Songkla UniversityRan2025 to 2025Enrolled90ConditionsAgingArmsChinese Art Activities, Chinese Art Activities combined with Peer Group Participation (PGP)
3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Aging-related Resiliency Theory Development.Belitung nursing journal · 2022
    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

9 authors.

Changxian SunNanjing Medical University, Nanjing, China.
Yiting YuNanjing Medical University, Nanjing, China.
Xuxu LiLandsea Lvy Elder Care Service, Nanjing, China.
Yan CuiNanjing Medical University, Nanjing, China. cyan_njmu@163.com.ORCID 0000-0001-7536-6136
Yaping DingNanjing Medical University, Nanjing, China.
Shuqin ZhuNanjing Medical University, Nanjing, China.
Xianwen LiNanjing Medical University, Nanjing, China.
Shen ChenNanjing Medical University, Nanjing, China.
Rong ZhouNanjing Medical University, Nanjing, China.

Funding

'Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX18_1444'Superiority Discipling Construction Project of Jiangsu Province: Nursing [2018] (87)The Key Project of Jiangsu Vocational Institute of Commerce JSJM19012
6 · The paper itself

Abstract

backgroundChina is one of the most rapidly ageing countries and has the largest ageing population in the world. The demand for long-term care is increasing. Nursing home placement is one of the most stressful events in a person's life. Although research on relocation adjustment has been conducted in many countries, few studies have been related to the predictors of nursing home adjustment in mainland China. This study aimed to identify the predictors of nursing home adjustment in the context of filial piety in mainland China.

methodsThis was a descriptive study that employed a cross-sectional survey. A total of 303 residents from 22 nursing homes in Nanjing, China, were recruited. A structured questionnaire about residents' characteristics, activities of daily living, social support, resilience, and nursing home adjustment was administered. Multiple linear regression was used to identify the predictors of adaptation to nursing homes.

resultsThe predictors of nursing home adjustment were the satisfaction with services(β = .158, P < .01), number of diseases(β = -.091, P < .05), length of stay(β = .088, P < .05), knowledge of the purpose of admission (β = .092, P < .05), resilience(β = .483, P < .001) and social support(β = .186, P < .001). The total explained variance for this model was 61.6%.

conclusionNursing staff members should assess the characteristics of residents to promote their better adjustment. Resilience had the most significant influence on the level of adaptation, which has been the primary focus of interventions to improve adjustment. The management of disease comorbidities in nursing homes should be standardized and supervised by the government. More volunteers from universities and communities should be encouraged to provide social support to residents. Moreover, a caring culture needs to be emphasized, and the value of filial piety should be advocated in nursing homes of East Asian countries.

Indexed as

Activities of Daily LivingNursing HomesAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansLong-Term CareMaleMiddle AgedAdaptationDisease comorbidityResidential facilitiesResilienceSocial support

Identifiers

PMID33256628
PMCPMC7708906

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.