Evidence map›Paper›PMID 33116700›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Metabolic Syndrome in Female Police Officers and Female Office Workers: A Cross-Sectional Study in Occupations with Different Physical Activities.

Markus Strauss, Peter Foshag, Anna Brzek, Richard Vollenberg, Ulrich Jehn, Roman Leischik

Abstract read
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Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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.

Markus StraussDepartment of Cardiology I- Coronary and Peripheral Vascular Disease, Heart Failure Medicine, University Hospital Muenster, Cardiol, Muenster 48149, Germany.
Peter FoshagDepartment of Cardiology, Sector Preventive Medicine, Health Promotion, Faculty of Health, School of Medicine, University Witten/Herdecke, Hagen 58095, Germany.
Anna BrzekDepartment of Physiotherapy, Chair of Physiotherapy, School of Health Sciences, Medical University of Silesia, Katowice, Poland.ORCID 0000-0002-2321-2888
Richard VollenbergDepartment of Medicine B, Gastroenterology and Hepatology, University Hospital Muenster, Muenster 48149, Germany.
Ulrich JehnDepartment of Medicine D, Division of General Internal Medicine, Nephrology and Rheumatology, University Hospital of Muenster, Muenster 48149, Germany.
Roman LeischikDepartment of Cardiology, Sector Preventive Medicine, Health Promotion, Faculty of Health, School of Medicine, University Witten/Herdecke, Hagen 58095, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIncrease in the prevalence of metabolic syndrome (MetS) has become a worldwide major health problem. So far, there are limited data about the impact of occupation types and the development of metabolic risks in females. This study aimed to compare the metabolic risk profiles and in two extremely different female occupational groups: police officers (PO) and office workers (OW).

methodsThe prospective study included a total number of 97 female subjects (37 POs and 60 OWs) from Germany. Anthropometric characteristics, metabolic risk parameters as well as laboratory parameters were taken. The diagnosis of MetS was based on the criteria of the International Diabetes Federation (IDF).

resultsFemale OWs presented a high prevalence of obesity, shown in average abdominal waist circumference (85.3 ± 14.5 cm) above the threshold of ≥80 cm recommended by the IDF to define abdominal obesity. Sixty percent of OWs versus 25% of POs had an abnormal abdominal waist circumference. Concerning other metabolic risk factors (HDL, triglycerides, body mass index, blood pressure) no significant differences were found, but a tendency toward a higher prevalence of abnormal values is presented in OWs than POs. MetS was detected in almost 8% of OWs as compared with 5% in POs (p = 0.705).

conclusionIn an international comparison, German female POs showed one of the lowest prevalence of MetS, whereas the prevalence in OWs is equal to results in other countries. In conclusion, especially the occupational type of female OWs presented elevated factors, that are associated with increased metabolic risk. There is a relevant need for further prospective studies with larger sample sizes in female workers to determine the influence between occupational type and metabolic system.

Indexed as

female office workerfemale police officermetabolic riskmetabolic risk factorsmetabolic syndrome

Identifiers

PMID33116700
PMCPMC7547286

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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.