Evidence map›Paper›PMID 31764803›Full record

ArticleMedicine2019

Predictor of sleep difficulty among community dwelling older populations in 2 African settings.

Chao Wang, Jiaxuan Liu, Zhifei Li, Lu Ji, Ruoxi Wang, Hongxun Song, Yiqing Mao, Ghose Bishwajit, Baoming Zhang, Shangfeng Tang

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 5 institutions in 2 countries.

Chao WangSchool of Safety Engineering.
Jiaxuan LiuQueen Mary School, Nanchang University, Nanchang, Jiangxi.
Zhifei LiChina National Center for Biotechnology Development, Beijing.
Lu JiSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology.
Ruoxi WangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology.
Hongxun SongSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology.
Yiqing MaoSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology.
Ghose BishwajitFaculty of Social Sciences, School of International Development and Global Studies, University of Ottawa, Ottawa, ON , Canada.
Baoming ZhangGeneral Hospital of Southern Theater Command, PLA, Guangzhou, P.R. China.
Shangfeng TangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology.
Huazhong University of Science and Technology · CNChina National Center for Biotechnology Development · CNChina University of Mining and Technology · CNNanchang University · CNUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep deprivation is a common phenomenon among older population and is commonly linked to behavioral, physiological, and psychosocial factors. Not much is known about sleep deprivation among older population in Africa. Therefore, in this study we aimed to investigate the basic sociodemographic and psychosocial predictors of self-reported sleep deprivation among older population.In this study we analyzed cross-sectional data on 1495 community dwelling men and women aged 50 years and above. Data were collected from the SAGE Well-Being of Older People Study conducted in South Africa and Uganda. Outcome variable was self-reported sleep difficulty last 30 days. Multivariable logistic regression models were used to identify the variables significantly associated with sleep difficulty.The prevalence of mild-moderate sleep difficulty was 32.6% (27.9, 37.6) and severe/extreme 23.0% (20.3, 26.0) respectively. Multivariable analysis revealed that sleep difficulty was associated with several behavioral, environment, and illness conditions. In South Africa, those who reported dissatisfaction with living condition had 1.592 [1.087, 2.787] times higher odds of reporting mild/moderate sleep difficulty. Poor subjective quality of life (QoL) was associated with higher odds of severe/extreme sleep difficulties (odds ratios [OR] = 4.590, 95% confidence interval [CI] = 2.641, 7.977 for South Africa, and OR = 4.461, 95% CI = 2.048 and 9.716 for Uganda). In Uganda, perceived depression was associated with higher odds of severe/extreme (OR = 2.452, 95% CI = 1.073, 5.602) sleep difficulties among men, and both mild/moderate (OR = 1.717; 95% CI = 1.011, 2.914) and severe/extreme sleep difficulties among women (OR = 2.504, 95% CI = 1.408, 4.453).More than half of the participants had sleep difficulty of certain degrees, emphasising an urgent need for intervention for sleep deprivation in the population. Interventions targeting to promote subjective health, quality of life, and living environment may prove beneficial for improving sleep health in this regard.

Indexed as

AgedAged, 80 and overCross-Sectional StudiesFemaleHumansIndependent LivingMaleMiddle AgedPrevalenceSelf ReportSleep DeprivationSleep Initiation and Maintenance DisordersSociological FactorsSouth AfricaUganda

Identifiers

PMID31764803
PMCPMC6882581
OpenAlexW2990431543

What OpenQuestion holds

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LicenceCC BY-NC
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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.