Evidence map›Paper›PMID 30813138›Full record

Observational studyMedicine2019

Epidemiological characteristics and factors influencing falls among elderly adults in long-term care facilities in Xiamen, China.

Liangwen Zhang, Yanbing Zeng, Chenziheng Weng, Jiajin Yan, Ya Fang

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
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  6. Article
  7. The Prevalence of Falls Among Older Adults Living in Long-Term Care Facilities in the City of Cape Town.International journal of environmental research and public health · 2025
    Article
  8. Article
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  10. Article
  11. The Incidence of Falls and Related Factors among Chinese Elderly Community Residents in Six Provinces.International journal of environmental research and public health · 2022
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  12. Article
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  15. 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

5 authors at 1 institution in 1 country.

Liangwen ZhangState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics.
Yanbing ZengState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics.
Chenziheng WengState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics.
Jiajin YanState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics.
Ya FangState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics.
Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Falling in the elderly is an important social issue, especially for those who are in long-term care (LTC) facilities, in addition to being a significant economic burden. This study aims to investigate the epidemiological characteristics and identify the factors influencing falls in LTC residents.We enrolled 260 participants aged 60+ years by multistage sampling across 13 LTC facilities in Xiamen, China, in 2016. Epidemiological characteristics and falls were observed and recorded during a 12-month period using a revised FROP-Com Scale. Multiple logistic regression modeling was performed to determine the factors influencing falls.A total of 218 (83.8%) valid questionnaires were returned. 152 falls (range 1-7, mean 0.7 ± 1.3 falls/person/y) occurred in the previous year, with 69 residents (31.7%) experiencing 1 or more falls. Most participants who fell were female (71%), living in cities (85.5%), had a higher BMI (22.1 ± 4.2), and had a chronic disease (99.9%). Of all falls, 39.1% occurred in the bedroom and 26.1% in the bathroom, 58% during daytime hours between 6:00 AM and noon. Thirty-six percent of falls resulted in an injury (e.g., bruises and fractures). The principal reason for falling was due to slipping (23.2%). There were 2 interactions on fall rate between ADL and feet and footwear (OR = 3.120, P<.001; OR = 3.010, P = .007 in Models 1 and 3), and between ADL and cognitive status (OR = 4.401, P<.001; OR = 4.101, P = .005 in Models 2 and 3). Multiple regression analysis indicated that ADL, balance and gait, medical conditions, cognitive status, living environment, feet and footwear and sensory loss were factors influencing falls among elderly adults in LTC facilities.Falls occur frequently and mostly unwitnessed among elderly adults in LTC facilities, highlighting the need for more effective and individualized fall prevention. Fall efficacy enhancing programs for nursing home residents should take degree of self-care, chronic diseases, sensory loss, foot injuries, cognitive impairment, living environment, and gender into account.

Indexed as

Homes for the AgedLong-Term CareAccidental FallsActivities of Daily LivingAgedAged, 80 and overBody Mass IndexChinaChronic DiseaseCognitive DysfunctionFemaleGaitHumansHypesthesiaMaleMiddle Aged

Identifiers

PMID30813138
PMCPMC6407997
OpenAlexW2918395275

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.