Evidence map›Paper›PMID 37711870›Full record

ArticleChronic diseases and translational medicine2023

Prevalence and sociodemographic determinants of selected noncommunicable diseases among the general population of Cyprus: A large population-based cross-sectional study.

Maria Kyprianidou, Demosthenes Panagiotakos, Konstantinos C Makris, Maria Kambanaros, Costas A Christophi, Konstantinos Giannakou

Abstract read
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Article in Chronic diseases and translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Maria KyprianidouDepartment of Health Sciences, School of Sciences European University Cyprus Nicosia Cyprus.
Demosthenes PanagiotakosDepartment of Nutrition and Dietetics, School of Health Sciences and Education Harokopio University Athens Greece.
Konstantinos C MakrisCyprus International Institute for Environmental and Public Health Cyprus University of Technology Limassol Cyprus.
Maria KambanarosDepartment of Allied Health and Human Performance University of South Australia Adelaide South Australia Australia.
Costas A ChristophiCyprus International Institute for Environmental and Public Health Cyprus University of Technology Limassol Cyprus.
Konstantinos GiannakouDepartment of Health Sciences, School of Sciences European University Cyprus Nicosia Cyprus.ORCID 0000-0002-2185-561X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Noncommunicable diseases (NCDs) are the leading cause of morbidity and mortality worldwide. The aim of this study was to determine the prevalence of NCDs among the population of Cyprus and to identify the distribution of the socioeconomic and demographic determinants among individuals with the most frequent NCDs. Methods: A cross-sectional study was conducted using stratified sampling. Socioeconomic and demographic characteristics and the presence of NCDs were collected through a standardized questionnaire. The diseases were classified using the 10th revision of the International Classification of Diseases (ICD-10). Results: In total, 1140 individuals participated in the study, among whom 590 (51.7%) had at least one chronic disease. The most prevalent NCDs were hyperlipidemia (17.4%), hypertension (12.9%), and thyroid diseases (8.4%). We identified more males than females with hyperlipidemia aged 25-44 years old and >65 years old ( Discussion: In Cyprus, the majority of the general population had at least one NCD. Hyperlipidemia, hypertension, and thyroid disease are relatively common, even at younger ages, highlighting the need for the development of public health programs aimed at addressing and preventing NCDs.

Indexed as

chronic diseaseshyperlipidemiahypertensionnoncommunicable diseasesprevalence

Identifiers

PMID37711870
PMCPMC10497820

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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.