Evidence map›Paper›PMID 38420037›Full record

ArticleFrontiers in public health2024

Sex differentials in the prevalence of behavioral risk factors and non-communicable diseases in adult populations of West Kazakhstan.

Akmaral Baspakova, Anara Zh Abitova, Nadiar M Mussin, Asset A Kaliyev, Gulmira Yerimbetova, Saltanat Zhumagaliyeva, Zhanat Ashimova, Kulyash R Zhilisbayeva, Aigerim A Umbetova, Alma U Nurtazina and 1 more

Open access · goldAbstract read
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Article in Frontiers in public health, 2024. 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
2.0field-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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Akmaral BaspakovaDepartment for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Anara Zh AbitovaDepartment for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Nadiar M MussinGeneral Surgery, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Asset A KaliyevGeneral Surgery, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Gulmira YerimbetovaDepartment for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Saltanat ZhumagaliyevaDepartment for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Zhanat AshimovaDepartment for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Kulyash R ZhilisbayevaDepartment for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Aigerim A UmbetovaDepartment for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Alma U NurtazinaDepartment of Epidemiology and Biostatistics, Semey Medical University, Semey, Kazakhstan.
Amin TamadonDepartment Natural Sciences, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
West Kazakhstan Marat Ospanov State Medical University · KZSemey Medical University · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The prevalence of non-communicable diseases (NCDs) is increasing worldwide. Several modifiable risk factors, such as smoking, alcohol drinking, physical inactivity, and obesity, have been linked to the development of NCDs in both genders. Understanding the prevalence of these risk factors and their associated factors is crucial for effective intervention planning in adult populations. This study aimed to provide an overview of the prevalence and associated factors of these risk behaviors among different genders of adults in West Kazakhstan. Methods: A cross-sectional study was conducted in four regions of West Kazakhstan. A stratified multistage sampling technique was utilized to obtain a representative sample size of 4,800 participants aged 18 -69 years. Trained researchers administered face-to-face interviews using validated questionnaires to gather information pertaining to sociodemographic characteristics, smoking habits, alcohol drinking, dietary patterns, physical activity levels, body mass index (BMI), and prevalent diseases. Results: This study, which included 4,800 participants from West Kazakhstan, revealed some striking numerical findings. The overall prevalence rates of behavioral risk factors and metabolic conditions were as follows: smoking was 13.6% (95%CI: 3.2-24.0%), alcohol drinking was 47.0% (27.7-66.3%), current obesity was 22.3% (9.0-35.6%), and physical inactivity was 80.7% (55.4-106.0%). In addition, the overall prevalence rates of metabolic conditions were 25.6% (11.3-39.9%) for hypertension, 7.5% (0.2-15.2%) for diabetes, 11.8% (2.1-21.5%) for high cholesterol, and 13.0% (2.8-23.2%) for cardiovascular diseases. Additionally, a higher prevalence of high cholesterol was observed in men, and a greater prevalence of heart disease was identified in women. Multinomial logistic regression revealed that physical inactivity was associated with hypertension, diabetes, and heart disease, while obesity was linked to hypertension, high cholesterol, and heart disease. Discussion: This study in West Kazakhstan identified variations in the prevalence of behavioral risk factors and NCDs, highlighting gender, age, and regional disparities. Notably, men showed higher rates of smoking and alcohol drinking, while women exhibited a greater prevalence of physical inactivity and obesity. Gender and regional differences were evident, with the West Kazakhstan region standing out for distinct patterns. Tailored interventions are crucial to address these disparities and enhance public health in the region.

Indexed as

Diabetes MellitusHeart DiseasesHypertensionNoncommunicable DiseasesAdultCholesterolCross-Sectional StudiesFemaleHumansKazakhstanMaleObesityPrevalenceRisk FactorsCholesterolbehavioral risk factorscardiovascular diseasediabeteshigh cholesterolhypertensionnon-communicable diseasessex differentials

Identifiers

PMID38420037
PMCPMC10899439
OpenAlexW4391818578

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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.