Hematological abnormalities and associated factors among metabolic syndrome patients at the University of Gondar comprehensive specialized hospital, Northwest Ethiopia
Metabolic Syndrome (MetS) is a cluster of interconnected metabolic diseases. Hematological abnormalities are common but neglected complications of MetS. Thus, this study aimed to determine the magnitude of hematological abnormalities and their associated factors among MetS patients at the University...
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description | Metabolic Syndrome (MetS) is a cluster of interconnected metabolic diseases. Hematological abnormalities are common but neglected complications of MetS. Thus, this study aimed to determine the magnitude of hematological abnormalities and their associated factors among MetS patients at the University of Gondar comprehensive specialized hospital, Northwest Ethiopia.
A hospital-based cross-sectional study was conducted at the University of Gondar comprehensive specialized hospital from March to May 2022. A total of 384 MetS patients were selected using a systematic random sampling technique. Data were collected using pre-tested structured questionnaires and checklists. Anthropometric and blood pressure measurements were taken, and blood sample was collected for complete blood count determination. Stool and blood film examinations were performed to detect intestinal and malaria parasites, respectively. Data were entered into EpiData 3.1 and analyzed by Stata 14.0 software. Bivariate and multivariate logistic regression models were fitted to identify factors associated with hematological abnormalities. A p-value of < 0.05 was considered statistically significant.
The magnitude of anemia, leukopenia, leukocytosis, thrombocytopenia, and thrombocytosis was found to be 13.3%, 0.5%, 2.9%, 1.6%, and 2.3%, respectively. Being male (AOR = 2.65, 95% CI: 1.14, 6.20), rural residency (AOR = 5.79, 95% CI: 1.72, 19.51), taking antihypertensive medications (AOR = 3.85, 95% CI: 1.16, 12.78), having elevated triglyceride level (AOR = 2.21, 95% CI: 1.03, 4.75), and being overweight or obese (AOR = 0.32, 95% CI: 0.16, 0.64) were significantly associated with anemia.
Anemia was the most prevalent hematological abnormality identified in the present study, followed by leukocytosis and thrombocytosis. Anemia was a mild public health problem among MetS patients in the study area. Routine anemia screening for all MetS patients, especially for those with significant associated factors, may help in the early detection and effective management of anemia, which subsequently improves the patients' quality of life. |
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A hospital-based cross-sectional study was conducted at the University of Gondar comprehensive specialized hospital from March to May 2022. A total of 384 MetS patients were selected using a systematic random sampling technique. Data were collected using pre-tested structured questionnaires and checklists. Anthropometric and blood pressure measurements were taken, and blood sample was collected for complete blood count determination. Stool and blood film examinations were performed to detect intestinal and malaria parasites, respectively. Data were entered into EpiData 3.1 and analyzed by Stata 14.0 software. Bivariate and multivariate logistic regression models were fitted to identify factors associated with hematological abnormalities. A p-value of < 0.05 was considered statistically significant.
The magnitude of anemia, leukopenia, leukocytosis, thrombocytopenia, and thrombocytosis was found to be 13.3%, 0.5%, 2.9%, 1.6%, and 2.3%, respectively. Being male (AOR = 2.65, 95% CI: 1.14, 6.20), rural residency (AOR = 5.79, 95% CI: 1.72, 19.51), taking antihypertensive medications (AOR = 3.85, 95% CI: 1.16, 12.78), having elevated triglyceride level (AOR = 2.21, 95% CI: 1.03, 4.75), and being overweight or obese (AOR = 0.32, 95% CI: 0.16, 0.64) were significantly associated with anemia.
Anemia was the most prevalent hematological abnormality identified in the present study, followed by leukocytosis and thrombocytosis. Anemia was a mild public health problem among MetS patients in the study area. Routine anemia screening for all MetS patients, especially for those with significant associated factors, may help in the early detection and effective management of anemia, which subsequently improves the patients' quality of life.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0286163</identifier><identifier>PMID: 37228109</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abnormalities ; Analysis ; Anemia ; Anemia - complications ; Anemia - epidemiology ; Antihypertensives ; Biology and Life Sciences ; Bivariate analysis ; Blood platelets ; Blood pressure ; Body weight ; Bone marrow ; Cardiovascular disease ; Check lists ; Cholesterol ; Chronic illnesses ; Complications ; Complications and side effects ; Cross-Sectional Studies ; Cytokines ; Diabetes ; Diagnosis ; Ethiopia - epidemiology ; Female ; Genes ; Hematology ; Hospitals ; Humans ; Hypertension ; Insulin resistance ; International organizations ; Leukocytes ; Leukocytosis ; Leukopenia ; Malaria ; Male ; Medicine and Health Sciences ; Metabolic disorders ; Metabolic syndrome ; Metabolic Syndrome - complications ; Metabolic Syndrome - epidemiology ; Metabolic syndrome X ; Mortality ; Obesity ; Overweight ; Parasites ; People and Places ; Population ; Pressure measurement ; Public health ; Quality of Life ; Random sampling ; Regression analysis ; Regression models ; Sample size ; Sampling methods ; Sampling techniques ; Statistical analysis ; Statistical sampling ; Thrombocytopenia ; Thrombocytosis ; Thrombocytosis - epidemiology ; Triglycerides ; Tumor necrosis factor-TNF ; Vector-borne diseases</subject><ispartof>PloS one, 2023-05, Vol.18 (5), p.e0286163-e0286163</ispartof><rights>Copyright: © 2023 Kelem et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Kelem et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Kelem et al 2023 Kelem et al</rights><rights>2023 Kelem et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c693t-750b0c3ae454231a1c5d1e9d5d4db2ce159c8e65f2057e7b87dd843d35e3e5943</citedby><cites>FETCH-LOGICAL-c693t-750b0c3ae454231a1c5d1e9d5d4db2ce159c8e65f2057e7b87dd843d35e3e5943</cites><orcidid>0000-0001-6597-5755 ; 0000-0002-4021-0171</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212162/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212162/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2929,23871,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37228109$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ayana, Desalegn Admassu</contributor><creatorcontrib>Kelem, Amanuel</creatorcontrib><creatorcontrib>Shiferaw, Elias</creatorcontrib><creatorcontrib>Adane, Tiruneh</creatorcontrib><title>Hematological abnormalities and associated factors among metabolic syndrome patients at the University of Gondar comprehensive specialized hospital, Northwest Ethiopia</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Metabolic Syndrome (MetS) is a cluster of interconnected metabolic diseases. Hematological abnormalities are common but neglected complications of MetS. Thus, this study aimed to determine the magnitude of hematological abnormalities and their associated factors among MetS patients at the University of Gondar comprehensive specialized hospital, Northwest Ethiopia.
A hospital-based cross-sectional study was conducted at the University of Gondar comprehensive specialized hospital from March to May 2022. A total of 384 MetS patients were selected using a systematic random sampling technique. Data were collected using pre-tested structured questionnaires and checklists. Anthropometric and blood pressure measurements were taken, and blood sample was collected for complete blood count determination. Stool and blood film examinations were performed to detect intestinal and malaria parasites, respectively. Data were entered into EpiData 3.1 and analyzed by Stata 14.0 software. Bivariate and multivariate logistic regression models were fitted to identify factors associated with hematological abnormalities. A p-value of < 0.05 was considered statistically significant.
The magnitude of anemia, leukopenia, leukocytosis, thrombocytopenia, and thrombocytosis was found to be 13.3%, 0.5%, 2.9%, 1.6%, and 2.3%, respectively. Being male (AOR = 2.65, 95% CI: 1.14, 6.20), rural residency (AOR = 5.79, 95% CI: 1.72, 19.51), taking antihypertensive medications (AOR = 3.85, 95% CI: 1.16, 12.78), having elevated triglyceride level (AOR = 2.21, 95% CI: 1.03, 4.75), and being overweight or obese (AOR = 0.32, 95% CI: 0.16, 0.64) were significantly associated with anemia.
Anemia was the most prevalent hematological abnormality identified in the present study, followed by leukocytosis and thrombocytosis. Anemia was a mild public health problem among MetS patients in the study area. Routine anemia screening for all MetS patients, especially for those with significant associated factors, may help in the early detection and effective management of anemia, which subsequently improves the patients' quality of life.</description><subject>Abnormalities</subject><subject>Analysis</subject><subject>Anemia</subject><subject>Anemia - complications</subject><subject>Anemia - epidemiology</subject><subject>Antihypertensives</subject><subject>Biology and Life Sciences</subject><subject>Bivariate analysis</subject><subject>Blood platelets</subject><subject>Blood pressure</subject><subject>Body weight</subject><subject>Bone marrow</subject><subject>Cardiovascular disease</subject><subject>Check lists</subject><subject>Cholesterol</subject><subject>Chronic illnesses</subject><subject>Complications</subject><subject>Complications and side effects</subject><subject>Cross-Sectional Studies</subject><subject>Cytokines</subject><subject>Diabetes</subject><subject>Diagnosis</subject><subject>Ethiopia - epidemiology</subject><subject>Female</subject><subject>Genes</subject><subject>Hematology</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Insulin resistance</subject><subject>International organizations</subject><subject>Leukocytes</subject><subject>Leukocytosis</subject><subject>Leukopenia</subject><subject>Malaria</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Metabolic Syndrome - complications</subject><subject>Metabolic Syndrome - epidemiology</subject><subject>Metabolic syndrome X</subject><subject>Mortality</subject><subject>Obesity</subject><subject>Overweight</subject><subject>Parasites</subject><subject>People and Places</subject><subject>Population</subject><subject>Pressure measurement</subject><subject>Public health</subject><subject>Quality of Life</subject><subject>Random sampling</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Sample size</subject><subject>Sampling methods</subject><subject>Sampling techniques</subject><subject>Statistical analysis</subject><subject>Statistical sampling</subject><subject>Thrombocytopenia</subject><subject>Thrombocytosis</subject><subject>Thrombocytosis - 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complications</topic><topic>Anemia - epidemiology</topic><topic>Antihypertensives</topic><topic>Biology and Life Sciences</topic><topic>Bivariate analysis</topic><topic>Blood platelets</topic><topic>Blood pressure</topic><topic>Body weight</topic><topic>Bone marrow</topic><topic>Cardiovascular disease</topic><topic>Check lists</topic><topic>Cholesterol</topic><topic>Chronic illnesses</topic><topic>Complications</topic><topic>Complications and side effects</topic><topic>Cross-Sectional Studies</topic><topic>Cytokines</topic><topic>Diabetes</topic><topic>Diagnosis</topic><topic>Ethiopia - epidemiology</topic><topic>Female</topic><topic>Genes</topic><topic>Hematology</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Insulin resistance</topic><topic>International organizations</topic><topic>Leukocytes</topic><topic>Leukocytosis</topic><topic>Leukopenia</topic><topic>Malaria</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Metabolic Syndrome - complications</topic><topic>Metabolic Syndrome - epidemiology</topic><topic>Metabolic syndrome X</topic><topic>Mortality</topic><topic>Obesity</topic><topic>Overweight</topic><topic>Parasites</topic><topic>People and Places</topic><topic>Population</topic><topic>Pressure measurement</topic><topic>Public health</topic><topic>Quality of Life</topic><topic>Random sampling</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Sample size</topic><topic>Sampling methods</topic><topic>Sampling techniques</topic><topic>Statistical analysis</topic><topic>Statistical sampling</topic><topic>Thrombocytopenia</topic><topic>Thrombocytosis</topic><topic>Thrombocytosis - epidemiology</topic><topic>Triglycerides</topic><topic>Tumor necrosis factor-TNF</topic><topic>Vector-borne diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kelem, Amanuel</creatorcontrib><creatorcontrib>Shiferaw, Elias</creatorcontrib><creatorcontrib>Adane, Tiruneh</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>Proquest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kelem, Amanuel</au><au>Shiferaw, Elias</au><au>Adane, Tiruneh</au><au>Ayana, Desalegn Admassu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hematological abnormalities and associated factors among metabolic syndrome patients at the University of Gondar comprehensive specialized hospital, Northwest Ethiopia</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-05-25</date><risdate>2023</risdate><volume>18</volume><issue>5</issue><spage>e0286163</spage><epage>e0286163</epage><pages>e0286163-e0286163</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Metabolic Syndrome (MetS) is a cluster of interconnected metabolic diseases. Hematological abnormalities are common but neglected complications of MetS. Thus, this study aimed to determine the magnitude of hematological abnormalities and their associated factors among MetS patients at the University of Gondar comprehensive specialized hospital, Northwest Ethiopia.
A hospital-based cross-sectional study was conducted at the University of Gondar comprehensive specialized hospital from March to May 2022. A total of 384 MetS patients were selected using a systematic random sampling technique. Data were collected using pre-tested structured questionnaires and checklists. Anthropometric and blood pressure measurements were taken, and blood sample was collected for complete blood count determination. Stool and blood film examinations were performed to detect intestinal and malaria parasites, respectively. Data were entered into EpiData 3.1 and analyzed by Stata 14.0 software. Bivariate and multivariate logistic regression models were fitted to identify factors associated with hematological abnormalities. A p-value of < 0.05 was considered statistically significant.
The magnitude of anemia, leukopenia, leukocytosis, thrombocytopenia, and thrombocytosis was found to be 13.3%, 0.5%, 2.9%, 1.6%, and 2.3%, respectively. Being male (AOR = 2.65, 95% CI: 1.14, 6.20), rural residency (AOR = 5.79, 95% CI: 1.72, 19.51), taking antihypertensive medications (AOR = 3.85, 95% CI: 1.16, 12.78), having elevated triglyceride level (AOR = 2.21, 95% CI: 1.03, 4.75), and being overweight or obese (AOR = 0.32, 95% CI: 0.16, 0.64) were significantly associated with anemia.
Anemia was the most prevalent hematological abnormality identified in the present study, followed by leukocytosis and thrombocytosis. Anemia was a mild public health problem among MetS patients in the study area. Routine anemia screening for all MetS patients, especially for those with significant associated factors, may help in the early detection and effective management of anemia, which subsequently improves the patients' quality of life.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>37228109</pmid><doi>10.1371/journal.pone.0286163</doi><tpages>e0286163</tpages><orcidid>https://orcid.org/0000-0001-6597-5755</orcidid><orcidid>https://orcid.org/0000-0002-4021-0171</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2023-05, Vol.18 (5), p.e0286163-e0286163 |
issn | 1932-6203 1932-6203 |
language | eng |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Abnormalities Analysis Anemia Anemia - complications Anemia - epidemiology Antihypertensives Biology and Life Sciences Bivariate analysis Blood platelets Blood pressure Body weight Bone marrow Cardiovascular disease Check lists Cholesterol Chronic illnesses Complications Complications and side effects Cross-Sectional Studies Cytokines Diabetes Diagnosis Ethiopia - epidemiology Female Genes Hematology Hospitals Humans Hypertension Insulin resistance International organizations Leukocytes Leukocytosis Leukopenia Malaria Male Medicine and Health Sciences Metabolic disorders Metabolic syndrome Metabolic Syndrome - complications Metabolic Syndrome - epidemiology Metabolic syndrome X Mortality Obesity Overweight Parasites People and Places Population Pressure measurement Public health Quality of Life Random sampling Regression analysis Regression models Sample size Sampling methods Sampling techniques Statistical analysis Statistical sampling Thrombocytopenia Thrombocytosis Thrombocytosis - epidemiology Triglycerides Tumor necrosis factor-TNF Vector-borne diseases |
title | Hematological abnormalities and associated factors among metabolic syndrome patients at the University of Gondar comprehensive specialized hospital, Northwest Ethiopia |
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