Comparison of toxic heavy metals in the breast milk of diabetic and non-diabetic postpartum mothers in Yenagoa, Nigeria
Breast milk is the main source of neonatal nutrition. It is not known whether diabetes increases the excretion of toxic heavy metals in the breast milk of postpartum mothers. We compared the concentration of toxic heavy metals in breast milk between diabetic and non-diabetic postpartum mothers in Ye...
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description | Breast milk is the main source of neonatal nutrition. It is not known whether diabetes increases the excretion of toxic heavy metals in the breast milk of postpartum mothers. We compared the concentration of toxic heavy metals in breast milk between diabetic and non-diabetic postpartum mothers in Yenagoa.
A cross-sectional design was utilized on a purposive sample of 144 consenting postpartum mothers (72 diabetic and 72 non-diabetic mothers) from three public hospitals. Breast milk samples were collected at 5-6 weeks postpartum between 1st November 2020 and 30th April 2021. Atomic-Absorption-Spectrophotometer and Direct-Mercury-Analyzer were used to analyze the breast milk samples. A data collection form (proforma) was used and data were analyzed at a 5% significance level with IBM-SPSS 25 software.
High levels of Arsenic (63.9% vs. 62.5%), Lead (95.8% vs. 95.8%), Mercury (68.1% vs. 72.2%), and Cadmium (84.7% vs. 86.1%) were detected in the breast milk of the diabetic and non-diabetic groups respectively. The mean concentrations for Arsenic (0.6 vs. 0.6 ng/mL), Lead (13.2 vs. 12.2 ng/mL), Mercury (2.9 vs. 3.0 ng/mL), and Cadmium (3.3 vs. 3.2 ng/mL) were above the WHO permissible limits, thus showing evidence of risk to the health of the mother and neonate. There was no significant difference in the concentration of toxic heavy metals in breast milk between the groups (p = > 0.585).
Diabetes did not seem to increase the concentration of toxic heavy metals expressed in breast milk. More rigorous studies are needed to confirm these findings. |
doi_str_mv | 10.1371/journal.pone.0264658 |
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A cross-sectional design was utilized on a purposive sample of 144 consenting postpartum mothers (72 diabetic and 72 non-diabetic mothers) from three public hospitals. Breast milk samples were collected at 5-6 weeks postpartum between 1st November 2020 and 30th April 2021. Atomic-Absorption-Spectrophotometer and Direct-Mercury-Analyzer were used to analyze the breast milk samples. A data collection form (proforma) was used and data were analyzed at a 5% significance level with IBM-SPSS 25 software.
High levels of Arsenic (63.9% vs. 62.5%), Lead (95.8% vs. 95.8%), Mercury (68.1% vs. 72.2%), and Cadmium (84.7% vs. 86.1%) were detected in the breast milk of the diabetic and non-diabetic groups respectively. The mean concentrations for Arsenic (0.6 vs. 0.6 ng/mL), Lead (13.2 vs. 12.2 ng/mL), Mercury (2.9 vs. 3.0 ng/mL), and Cadmium (3.3 vs. 3.2 ng/mL) were above the WHO permissible limits, thus showing evidence of risk to the health of the mother and neonate. There was no significant difference in the concentration of toxic heavy metals in breast milk between the groups (p = > 0.585).
Diabetes did not seem to increase the concentration of toxic heavy metals expressed in breast milk. More rigorous studies are needed to confirm these findings.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0264658</identifier><identifier>PMID: 37027355</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Arsenic ; Arsenic - analysis ; Biology and Life Sciences ; Breast milk ; Cadmium ; Cadmium - analysis ; Comparative analysis ; Cross-Sectional Studies ; Crude oil ; Data collection ; Diabetes ; Diabetes Mellitus ; Disease ; Ecology and Environmental Sciences ; Electrolytes ; Factories ; Female ; Food contamination & poisoning ; Health aspects ; Health risks ; Heavy Metal Poisoning ; Heavy metals ; Hospitals ; Humans ; Infant, Newborn ; Laboratories ; Lead ; Medicine and Health Sciences ; Mercury ; Mercury (metal) ; Mercury - analysis ; Metal concentrations ; Metals, Heavy - analysis ; Milk, Human - chemistry ; Mothers ; Neonates ; Nigeria ; Nutrition ; Oil exploration ; Physical Sciences ; Pollution ; Postpartum ; Postpartum Period ; Properties ; Sample size ; Spectrophotometers</subject><ispartof>PloS one, 2023-04, Vol.18 (4), p.e0264658-e0264658</ispartof><rights>Copyright: © 2023 Philip-Slaboh 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 Philip-Slaboh 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 Philip-Slaboh et al 2023 Philip-Slaboh et al</rights><rights>2023 Philip-Slaboh 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-cb997656b3c83ed113384f8e94aaa592ed5c45cd7634bc28cbaf4eabc68fd6793</citedby><cites>FETCH-LOGICAL-c693t-cb997656b3c83ed113384f8e94aaa592ed5c45cd7634bc28cbaf4eabc68fd6793</cites><orcidid>0000-0002-9375-9918</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/PMC10081761/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081761/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,862,883,2098,2917,23849,27907,27908,53774,53776,79351,79352</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37027355$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Abd‐Elhakim, Yasmina</contributor><creatorcontrib>Philip-Slaboh, Tuboseiyefah Perekebi</creatorcontrib><creatorcontrib>Eleke, Chinemerem</creatorcontrib><creatorcontrib>Ezejiofor, Anthonet Ndidiamaka</creatorcontrib><title>Comparison of toxic heavy metals in the breast milk of diabetic and non-diabetic postpartum mothers in Yenagoa, Nigeria</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Breast milk is the main source of neonatal nutrition. It is not known whether diabetes increases the excretion of toxic heavy metals in the breast milk of postpartum mothers. We compared the concentration of toxic heavy metals in breast milk between diabetic and non-diabetic postpartum mothers in Yenagoa.
A cross-sectional design was utilized on a purposive sample of 144 consenting postpartum mothers (72 diabetic and 72 non-diabetic mothers) from three public hospitals. Breast milk samples were collected at 5-6 weeks postpartum between 1st November 2020 and 30th April 2021. Atomic-Absorption-Spectrophotometer and Direct-Mercury-Analyzer were used to analyze the breast milk samples. A data collection form (proforma) was used and data were analyzed at a 5% significance level with IBM-SPSS 25 software.
High levels of Arsenic (63.9% vs. 62.5%), Lead (95.8% vs. 95.8%), Mercury (68.1% vs. 72.2%), and Cadmium (84.7% vs. 86.1%) were detected in the breast milk of the diabetic and non-diabetic groups respectively. The mean concentrations for Arsenic (0.6 vs. 0.6 ng/mL), Lead (13.2 vs. 12.2 ng/mL), Mercury (2.9 vs. 3.0 ng/mL), and Cadmium (3.3 vs. 3.2 ng/mL) were above the WHO permissible limits, thus showing evidence of risk to the health of the mother and neonate. There was no significant difference in the concentration of toxic heavy metals in breast milk between the groups (p = > 0.585).
Diabetes did not seem to increase the concentration of toxic heavy metals expressed in breast milk. More rigorous studies are needed to confirm these findings.</description><subject>Arsenic</subject><subject>Arsenic - analysis</subject><subject>Biology and Life Sciences</subject><subject>Breast milk</subject><subject>Cadmium</subject><subject>Cadmium - analysis</subject><subject>Comparative analysis</subject><subject>Cross-Sectional Studies</subject><subject>Crude oil</subject><subject>Data collection</subject><subject>Diabetes</subject><subject>Diabetes Mellitus</subject><subject>Disease</subject><subject>Ecology and Environmental Sciences</subject><subject>Electrolytes</subject><subject>Factories</subject><subject>Female</subject><subject>Food contamination & poisoning</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Heavy Metal Poisoning</subject><subject>Heavy metals</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Infant, Newborn</subject><subject>Laboratories</subject><subject>Lead</subject><subject>Medicine and Health Sciences</subject><subject>Mercury</subject><subject>Mercury (metal)</subject><subject>Mercury - analysis</subject><subject>Metal concentrations</subject><subject>Metals, Heavy - analysis</subject><subject>Milk, Human - chemistry</subject><subject>Mothers</subject><subject>Neonates</subject><subject>Nigeria</subject><subject>Nutrition</subject><subject>Oil exploration</subject><subject>Physical Sciences</subject><subject>Pollution</subject><subject>Postpartum</subject><subject>Postpartum Period</subject><subject>Properties</subject><subject>Sample size</subject><subject>Spectrophotometers</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QLgig4Y5M0SXsly-DHwOKCX-BVOE3TTsY2GZN03f33Zma6w1T2QnLRcPq87-k5PSdJnqJsjghHb9d2cAa6-cYaNc8wyxkt7iWnqCR4xnBG7h_dT5JH3q-zjJKCsYfJCeEZ5oTS0-TPwvYbcNpbk9omDfZay3Sl4Oom7VWAzqfapGGl0sop8CHtdfdrC9YaKhUiC6ZOjTWzQ2BjfYiOYejT3kal21n8VAZaC2_Sz7pVTsPj5EET3dWT8XmWfP_w_tvi0-zi8uNycX4xk6wkYSarsuSMsorIgqgaIUKKvClUmQMALbGqqcyprDkjeSVxIStocgWVZEVTM16Ss-T53nfTWS_GnnmBeckppxSzSCz3RG1hLTZO9-BuhAUtdgHrWhGr0bJTQtKmRIBLnBOcc1VXgDDHQCgmdUUZjl7vxmxD1ataKhMcdBPT6RujV6K1VwJlWYE4Q9Hh1ejg7O9B-SB67aXqOjDKDrsPL3hW8mKLvvgHvbu8kWohVqBNY2NiuTUV5zyPQ8NQkUdqfgcVT616LeOENTrGJ4LXE0FkgroOLQzei-XXL__PXv6Ysi-P2DiIXVh52w1BW-OnYL4HpbPeO9UcuowysV2Q226I7YKIcUGi7NnxHzqIbjeC_AWE8Qv-</recordid><startdate>20230407</startdate><enddate>20230407</enddate><creator>Philip-Slaboh, Tuboseiyefah Perekebi</creator><creator>Eleke, Chinemerem</creator><creator>Ezejiofor, Anthonet Ndidiamaka</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-9375-9918</orcidid></search><sort><creationdate>20230407</creationdate><title>Comparison of toxic heavy metals in the breast milk of diabetic and non-diabetic postpartum mothers in Yenagoa, Nigeria</title><author>Philip-Slaboh, Tuboseiyefah Perekebi ; Eleke, Chinemerem ; Ezejiofor, Anthonet Ndidiamaka</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c693t-cb997656b3c83ed113384f8e94aaa592ed5c45cd7634bc28cbaf4eabc68fd6793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Arsenic</topic><topic>Arsenic - 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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>Philip-Slaboh, Tuboseiyefah Perekebi</au><au>Eleke, Chinemerem</au><au>Ezejiofor, Anthonet Ndidiamaka</au><au>Abd‐Elhakim, Yasmina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of toxic heavy metals in the breast milk of diabetic and non-diabetic postpartum mothers in Yenagoa, Nigeria</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-04-07</date><risdate>2023</risdate><volume>18</volume><issue>4</issue><spage>e0264658</spage><epage>e0264658</epage><pages>e0264658-e0264658</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Breast milk is the main source of neonatal nutrition. It is not known whether diabetes increases the excretion of toxic heavy metals in the breast milk of postpartum mothers. We compared the concentration of toxic heavy metals in breast milk between diabetic and non-diabetic postpartum mothers in Yenagoa.
A cross-sectional design was utilized on a purposive sample of 144 consenting postpartum mothers (72 diabetic and 72 non-diabetic mothers) from three public hospitals. Breast milk samples were collected at 5-6 weeks postpartum between 1st November 2020 and 30th April 2021. Atomic-Absorption-Spectrophotometer and Direct-Mercury-Analyzer were used to analyze the breast milk samples. A data collection form (proforma) was used and data were analyzed at a 5% significance level with IBM-SPSS 25 software.
High levels of Arsenic (63.9% vs. 62.5%), Lead (95.8% vs. 95.8%), Mercury (68.1% vs. 72.2%), and Cadmium (84.7% vs. 86.1%) were detected in the breast milk of the diabetic and non-diabetic groups respectively. The mean concentrations for Arsenic (0.6 vs. 0.6 ng/mL), Lead (13.2 vs. 12.2 ng/mL), Mercury (2.9 vs. 3.0 ng/mL), and Cadmium (3.3 vs. 3.2 ng/mL) were above the WHO permissible limits, thus showing evidence of risk to the health of the mother and neonate. There was no significant difference in the concentration of toxic heavy metals in breast milk between the groups (p = > 0.585).
Diabetes did not seem to increase the concentration of toxic heavy metals expressed in breast milk. More rigorous studies are needed to confirm these findings.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>37027355</pmid><doi>10.1371/journal.pone.0264658</doi><tpages>e0264658</tpages><orcidid>https://orcid.org/0000-0002-9375-9918</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Arsenic Arsenic - analysis Biology and Life Sciences Breast milk Cadmium Cadmium - analysis Comparative analysis Cross-Sectional Studies Crude oil Data collection Diabetes Diabetes Mellitus Disease Ecology and Environmental Sciences Electrolytes Factories Female Food contamination & poisoning Health aspects Health risks Heavy Metal Poisoning Heavy metals Hospitals Humans Infant, Newborn Laboratories Lead Medicine and Health Sciences Mercury Mercury (metal) Mercury - analysis Metal concentrations Metals, Heavy - analysis Milk, Human - chemistry Mothers Neonates Nigeria Nutrition Oil exploration Physical Sciences Pollution Postpartum Postpartum Period Properties Sample size Spectrophotometers |
title | Comparison of toxic heavy metals in the breast milk of diabetic and non-diabetic postpartum mothers in Yenagoa, Nigeria |
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