Evidence map›Paper›PMID 29209102›Full record

ArticleBehavioural neurology2017

The Incidence of Depression among the Population of Central Kazakhstan and Its Relationship with Sociodemographic Characteristics.

L Turgunova, Ye Laryushina, A Turmukhambetova, B Koichubekov, M Sorokina, I Korshukov

Open access · goldAbstract read
In one paragraph

Article in Behavioural neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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  8. Depression and Its Association with Health-Related Quality of Life in Postmenopausal Women in Korea.International journal of environmental research and public health · 2018
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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

6 authors at 1 institution in 1 country.

L TurgunovaKaraganda State Medical University, Gogol St. 40, Karaganda 100008, Kazakhstan.
Ye LaryushinaKaraganda State Medical University, Gogol St. 40, Karaganda 100008, Kazakhstan.
A TurmukhambetovaKaraganda State Medical University, Gogol St. 40, Karaganda 100008, Kazakhstan.
B KoichubekovKaraganda State Medical University, Gogol St. 40, Karaganda 100008, Kazakhstan.ORCID 0000-0002-8030-5407
M SorokinaKaraganda State Medical University, Gogol St. 40, Karaganda 100008, Kazakhstan.
I KorshukovKaraganda State Medical University, Gogol St. 40, Karaganda 100008, Kazakhstan.ORCID 0000-0001-9065-2448
Karaganda Medical University · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been established that the presence of depression is accompanied by an increased risk of morbidity and mortality in cerebrovascular and cardiovascular diseases and diabetes. The aim of this research was to estimate depressive symptom prevalence among the population in Central Kazakhstan and to define the relationship with social-demographic and behavioral factors. 1820 respondents of the population of Central Kazakhstan, aged 25 to 65, were performed. Participants included 777 urban and 1043 rural residents. Depressive symptoms assessed with the Patient Health Questionnaire (PHQ-9). The results showed that some degree of depressive symptoms was detected in 75.7% of the respondents. A minimal degree of depressive symptoms was observed in 28.51%, mild in 27.7%, moderate in 13.7%, and severe and very severe degree of depressive symptoms in 4.6% and 1.2%, respectively; the absence of depression symptoms was reported in 24.3% of the respondents. The study found a relationship between the prevalence of depressive symptoms and factors such as gender, education, income, presence of chronic diseases, and physical activity. We have not found a correlation between the frequencies of depressive symptoms with age, employment, character of labor, and marital status.

Indexed as

Socioeconomic FactorsAdultAgedDepressionDepressive DisorderFemaleHumansIncidenceKazakhstanMaleMiddle AgedPrevalenceRisk FactorsRural PopulationSurveys and QuestionnairesUrban Population

Identifiers

PMID29209102
PMCPMC5676366
OpenAlexW2767155760

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.