Evidence map›Paper›PMID 37704972›Full record

ArticleBMC geriatrics2023

Sociodemographic features associated with the MoCA, SPPB, and GDS scores in a community-dwelling elderly population.

Peng Zhang, Nazhakaiti Abudukelimu, Ayijiamal Sali, Jin-Xia Chen, Min Li, Yan-Yan Mao, Yi Zhu, Qian-Xi Zhu

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Peng Zhang *School of Management, Hainan Medical University, Haikou, Hainan, 571199, China.
Nazhakaiti Abudukelimu *Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China.
Ayijiamal Sali *Department of Medicine, Kashgar Vocational and Technical College, Kashgar, Xinjiang Uygur Autonomous Region, 844099, China.
Jin-Xia ChenEmergency Department, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212000, China.
Min LiShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China.
Yan-Yan MaoShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China.
Yi ZhuEmergency Department, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212000, China. zhuyigg2022@163.com.
Qian-Xi ZhuShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China. qianxizhu@hotmail.com.
Affiliated Hospital of Jiangsu University · CNHainan Medical University · CNJiangsu University · CNKashi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn accurate evaluation of cognitive function, physical health, and psychological health is fundamental for assessing health problems in the elderly population, and it is important to identify the necessity of early therapeutic intervention. The objective of this study was to evaluate the states of mental and physical functions and to investigate the relationships between sociodemographic features and these functions in a community-dwelling elderly population.

methodsThis community-based cross-sectional study was conducted in a suburban district of Shanghai, China. A total of 1025 participants aged 60-89 years underwent investigations of demographic and lifestyle features and a multidimensional geriatric evaluation comprising the Montreal Cognitive Assessment (MoCA), Short Physical Performance Battery (SPPB), and Geriatric Depression Scale (GDS).

resultsThe results of the multivariate linear regression models demonstrated that the MoCA and SPPB scores decreased with advancing age (all P < 0.01). However, the GDS score did not exhibit an age-related decrease (P = 0.09). Both sex and living alone influenced the MoCA score (P < 0.01 and P = 0.04, respectively), SPPB score (P < 0.01 and P = 0.04, respectively), and GDS score (P < 0.01 and P < 0.01, respectively). A higher education level was related to better MoCA and SPPB scores (all P < 0.01). Furthermore, age and sex had interactive effects on the MoCA score (P = 0.03) and SPPB score (P < 0.01). The kernel-weighted local polynomial smoothing curves exhibited similar trends.

conclusionsIt is imperative to develop a more sensitive evaluation of physical function, and to encourage various intellectually and emotionally stimulating social activity strategies to promote healthy aging, especially in elderly women and those living alone who have a low education level.

Indexed as

CognitionIndependent LivingAgedChinaCross-Sectional StudiesFemaleHumansMental Status and Dementia TestsElderly peopleGeriatric Depression ScaleMontreal Cognitive AssessmentShort physical performance batterySociodemographic features

Identifiers

PMID37704972
PMCPMC10500811
OpenAlexW4386723200

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.