{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T13:38:36Z","timestamp":1782481116658,"version":"3.54.5"},"reference-count":45,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T00:00:00Z","timestamp":1697673600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Nature Science Research Grant of China","award":["81502806"],"award-info":[{"award-number":["81502806"]}]},{"name":"National Nature Science Research Grant of China","award":["JKS2022018"],"award-info":[{"award-number":["JKS2022018"]}]},{"name":"Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University","award":["81502806"],"award-info":[{"award-number":["81502806"]}]},{"name":"Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University","award":["JKS2022018"],"award-info":[{"award-number":["JKS2022018"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Nutrients"],"abstract":"<jats:p>Lead (Pb) exposure is a well-established risk factor for dyslipidemia, and people are exposed to it in multiple ways daily. Dietary fiber is presumed to improve lipid metabolism disorders, but it is still unknown whether it can relieve the detrimental impact of Pb on dyslipidemia. We used publicly accessible data from the 2011\u20132016 cycles of the National Health and Nutrition Examination Survey (NHANES). A total of 2128 US adults were enrolled for the subsequent analysis. Heavy metal concentrations in blood were measured using inductively coupled plasma mass spectrometry (ICP-MS). A weighted logistic regression was conducted to calculate odds ratios (ORs) and 95% confidence intervals (CIs). The dose\u2013response relationship between blood heavy metals and dyslipidemia was explored using a weighted restricted cubic spline (RCS) analysis. After fully adjusting for potential confounding factors (age, gender, race, education level, ratio of family income to poverty, marital status, body mass index, physical activity, waist circumference, smoke, alcohol drinking and history of metabolic syndrome, hypertension, and diabetes), a positive association between blood Pb levels and dyslipidemia risk was revealed (OR = 1.20, 95% CI: 1.03\u20131.40). Dietary fiber intake may significantly modify the association between blood Pb levels and dyslipidemia (p-interaction = 0.049), with a stronger association (OR = 1.26, 95% CI: 1.05\u20131.52) being revealed in individuals with an inadequate intake of dietary fiber (&lt;14 g\/1000 kcal\/day), but a null association (OR = 1.01, 95% CI: 0.72\u20131.42) being observed in those with an adequate intake of dietary fiber (\u226514 g\/1000 kcal\/day). Moreover, the weighted RCS analysis showed that compared with the average blood Pb exposure level (4.24 \u00b5g\/dL), a lower blood Pb exposure level (3.08 \u00b5g\/dL) may contribute to the risk of dyslipidemia in the group with an inadequate dietary fiber intake. Our findings suggest that Pb exposure in blood may be a risk factor for dyslipidemia. However, an adequate dietary fiber intake may offset the risk of dyslipidemia caused by blood Pb exposure. Since avoiding Pb exposure in daily life is difficult, increasing dietary fiber intake in the future might be a promising approach to alleviate dyslipidemia caused by Pb exposure.<\/jats:p>","DOI":"10.3390\/nu15204434","type":"journal-article","created":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T05:43:28Z","timestamp":1697694208000},"page":"4434","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Adequate Intake of Dietary Fiber May Relieve the Detrimental Impact of Blood Lead on Dyslipidemia among US Adults: A Study of Data from the National Health and Nutrition Examination Survey Database"],"prefix":"10.3390","volume":"15","author":[{"given":"Bin","family":"Li","sequence":"first","affiliation":[{"name":"Department of Nutrition and Food Hygiene, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fengzhan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Nutrition and Food Hygiene, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoqi","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Nutrition and Food Hygiene, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Nutrition and Food Hygiene, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7894-5691","authenticated-orcid":false,"given":"Qihong","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Nutrition and Food Hygiene, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7365-2689","authenticated-orcid":false,"given":"Wanshui","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Nutrition and Food Hygiene, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3611-8572","authenticated-orcid":false,"given":"Anla","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Nutrition and Food Hygiene, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"ITC81","DOI":"10.7326\/AITC201712050","article-title":"Dyslipidemia","volume":"167","author":"Kopin","year":"2017","journal-title":"Ann. 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