Relationship between Occupational Metal Exposure and Hypertension Risk Based on Conditional Logistic Regression Analysis Article Swipe
Huiling Qian
,
Guangming Li
,
Yongbin Luo
,
Xiaolei Fu
,
Siyu Wan
,
Xiaoli Mao
,
Wenjun Yin
,
Zhiteng Min
,
Jinfeng Jiang
,
Guilin Yi
,
Xiaodong Tan
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/metabo12121259
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/metabo12121259
Occupational exposure is a significant source of metal contact; previous studies have been limited regarding the effect of occupational metal exposure on the development of hypertension. This study was conducted to assess the levels of exposure of certain metals (chromium (Cr), iron (Fe), manganese (Mn), and nickel (Ni)) in hypertensive and non-hypertensive workers and to assess the relationship between the risk of hypertension and metal exposure level. Our study included 138 hypertensive patients as case groups and 138 non-hypertensive participants as controls. The exposure risk level was divided according to the limit value after collecting and testing the metal dust in the workshop. Considering the influence of single- and poly-metal, single factor analysis and conditional logistic regression analysis of poly-metal were carried out. The results of the model indicated that the incidence of hypertension increased with an increase in Cr exposure level, and the risk of hypertension was 1.85 times higher in the highest exposure than in the lowest exposure (95% CI: 1.20–2.86, p < 0.05). Mn has the same effect as Cr. There was no significant correlation between Fe or Ni and hypertension. Our findings suggested that Cr and Mn exposure in the work environment might increase the risk of hypertension, while no effect of Fe and Ni on blood pressure was found. Prospective study designs in larger populations are needed to confirm our findings.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/metabo12121259
- https://www.mdpi.com/2218-1989/12/12/1259/pdf?version=1671010335
- OA Status
- gold
- Cited By
- 10
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4311493312
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4311493312Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/metabo12121259Digital Object Identifier
- Title
-
Relationship between Occupational Metal Exposure and Hypertension Risk Based on Conditional Logistic Regression AnalysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-12-14Full publication date if available
- Authors
-
Huiling Qian, Guangming Li, Yongbin Luo, Xiaolei Fu, Siyu Wan, Xiaoli Mao, Wenjun Yin, Zhiteng Min, Jinfeng Jiang, Guilin Yi, Xiaodong TanList of authors in order
- Landing page
-
https://doi.org/10.3390/metabo12121259Publisher landing page
- PDF URL
-
https://www.mdpi.com/2218-1989/12/12/1259/pdf?version=1671010335Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2218-1989/12/12/1259/pdf?version=1671010335Direct OA link when available
- Concepts
-
Logistic regression, Conditional logistic regression, Medicine, Statistics, Environmental health, Internal medicine, Mathematics, Odds ratioTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 6, 2024: 3, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
36Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4311493312 |
|---|---|
| doi | https://doi.org/10.3390/metabo12121259 |
| ids.doi | https://doi.org/10.3390/metabo12121259 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/36557298 |
| ids.openalex | https://openalex.org/W4311493312 |
| fwci | 2.86426689 |
| type | article |
| title | Relationship between Occupational Metal Exposure and Hypertension Risk Based on Conditional Logistic Regression Analysis |
| biblio.issue | 12 |
| biblio.volume | 12 |
| biblio.last_page | 1259 |
| biblio.first_page | 1259 |
| topics[0].id | https://openalex.org/T10866 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.6700000166893005 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2739 |
| topics[0].subfield.display_name | Public Health, Environmental and Occupational Health |
| topics[0].display_name | Nutritional Studies and Diet |
| topics[1].id | https://openalex.org/T12075 |
| topics[1].field.id | https://openalex.org/fields/29 |
| topics[1].field.display_name | Nursing |
| topics[1].score | 0.5837000012397766 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2916 |
| topics[1].subfield.display_name | Nutrition and Dietetics |
| topics[1].display_name | Sodium Intake and Health |
| topics[2].id | https://openalex.org/T14374 |
| topics[2].field.id | https://openalex.org/fields/26 |
| topics[2].field.display_name | Mathematics |
| topics[2].score | 0.564300000667572 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2613 |
| topics[2].subfield.display_name | Statistics and Probability |
| topics[2].display_name | Statistical Methods in Epidemiology |
| is_xpac | False |
| apc_list.value | 2000 |
| apc_list.currency | CHF |
| apc_list.value_usd | 2165 |
| apc_paid.value | 2000 |
| apc_paid.currency | CHF |
| apc_paid.value_usd | 2165 |
| concepts[0].id | https://openalex.org/C151956035 |
| concepts[0].level | 2 |
| concepts[0].score | 0.85508131980896 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1132755 |
| concepts[0].display_name | Logistic regression |
| concepts[1].id | https://openalex.org/C2779662715 |
| concepts[1].level | 3 |
| concepts[1].score | 0.5405845046043396 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q19596443 |
| concepts[1].display_name | Conditional logistic regression |
| concepts[2].id | https://openalex.org/C71924100 |
| concepts[2].level | 0 |
| concepts[2].score | 0.43899914622306824 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[2].display_name | Medicine |
| concepts[3].id | https://openalex.org/C105795698 |
| concepts[3].level | 1 |
| concepts[3].score | 0.357735812664032 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[3].display_name | Statistics |
| concepts[4].id | https://openalex.org/C99454951 |
| concepts[4].level | 1 |
| concepts[4].score | 0.3526540696620941 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q932068 |
| concepts[4].display_name | Environmental health |
| concepts[5].id | https://openalex.org/C126322002 |
| concepts[5].level | 1 |
| concepts[5].score | 0.3227308392524719 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[5].display_name | Internal medicine |
| concepts[6].id | https://openalex.org/C33923547 |
| concepts[6].level | 0 |
| concepts[6].score | 0.18130919337272644 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[6].display_name | Mathematics |
| concepts[7].id | https://openalex.org/C156957248 |
| concepts[7].level | 2 |
| concepts[7].score | 0.12301558256149292 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1862216 |
| concepts[7].display_name | Odds ratio |
| keywords[0].id | https://openalex.org/keywords/logistic-regression |
| keywords[0].score | 0.85508131980896 |
| keywords[0].display_name | Logistic regression |
| keywords[1].id | https://openalex.org/keywords/conditional-logistic-regression |
| keywords[1].score | 0.5405845046043396 |
| keywords[1].display_name | Conditional logistic regression |
| keywords[2].id | https://openalex.org/keywords/medicine |
| keywords[2].score | 0.43899914622306824 |
| keywords[2].display_name | Medicine |
| keywords[3].id | https://openalex.org/keywords/statistics |
| keywords[3].score | 0.357735812664032 |
| keywords[3].display_name | Statistics |
| keywords[4].id | https://openalex.org/keywords/environmental-health |
| keywords[4].score | 0.3526540696620941 |
| keywords[4].display_name | Environmental health |
| keywords[5].id | https://openalex.org/keywords/internal-medicine |
| keywords[5].score | 0.3227308392524719 |
| keywords[5].display_name | Internal medicine |
| keywords[6].id | https://openalex.org/keywords/mathematics |
| keywords[6].score | 0.18130919337272644 |
| keywords[6].display_name | Mathematics |
| keywords[7].id | https://openalex.org/keywords/odds-ratio |
| keywords[7].score | 0.12301558256149292 |
| keywords[7].display_name | Odds ratio |
| language | en |
| locations[0].id | doi:10.3390/metabo12121259 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2764402194 |
| locations[0].source.issn | 2218-1989 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2218-1989 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Metabolites |
| locations[0].source.host_organization | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.mdpi.com/2218-1989/12/12/1259/pdf?version=1671010335 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Metabolites |
| locations[0].landing_page_url | https://doi.org/10.3390/metabo12121259 |
| locations[1].id | pmid:36557298 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Metabolites |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/36557298 |
| locations[2].id | pmh:oai:doaj.org/article:75f36241d3be441792edbecd46b9ddd0 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | cc-by-sa |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Metabolites, Vol 12, Iss 12, p 1259 (2022) |
| locations[2].landing_page_url | https://doaj.org/article/75f36241d3be441792edbecd46b9ddd0 |
| locations[3].id | pmh:oai:mdpi.com:/2218-1989/12/12/1259/ |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S4306400947 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | True |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | MDPI (MDPI AG) |
| locations[3].source.host_organization | https://openalex.org/I4210097602 |
| locations[3].source.host_organization_name | Multidisciplinary Digital Publishing Institute (Switzerland) |
| locations[3].source.host_organization_lineage | https://openalex.org/I4210097602 |
| locations[3].license | cc-by |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/cc-by |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Metabolites; Volume 12; Issue 12; Pages: 1259 |
| locations[3].landing_page_url | https://dx.doi.org/10.3390/metabo12121259 |
| locations[4].id | pmh:oai:pubmedcentral.nih.gov:9784465 |
| locations[4].is_oa | True |
| locations[4].source.id | https://openalex.org/S2764455111 |
| locations[4].source.issn | |
| locations[4].source.type | repository |
| locations[4].source.is_oa | False |
| locations[4].source.issn_l | |
| locations[4].source.is_core | False |
| locations[4].source.is_in_doaj | False |
| locations[4].source.display_name | PubMed Central |
| locations[4].source.host_organization | https://openalex.org/I1299303238 |
| locations[4].source.host_organization_name | National Institutes of Health |
| locations[4].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[4].license | other-oa |
| locations[4].pdf_url | |
| locations[4].version | submittedVersion |
| locations[4].raw_type | Text |
| locations[4].license_id | https://openalex.org/licenses/other-oa |
| locations[4].is_accepted | False |
| locations[4].is_published | False |
| locations[4].raw_source_name | Metabolites |
| locations[4].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/9784465 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5072427225 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Huiling Qian |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I37461747 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan 430072, China |
| authorships[0].institutions[0].id | https://openalex.org/I37461747 |
| authorships[0].institutions[0].ror | https://ror.org/033vjfk17 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I37461747 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Wuhan University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Huiling Qian |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan 430072, China |
| authorships[1].author.id | https://openalex.org/A5100635454 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-2286-7679 |
| authorships[1].author.display_name | Guangming Li |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I37461747 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan 430072, China |
| authorships[1].institutions[0].id | https://openalex.org/I37461747 |
| authorships[1].institutions[0].ror | https://ror.org/033vjfk17 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I37461747 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Wuhan University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Guangming Li |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan 430072, China |
| authorships[2].author.id | https://openalex.org/A5113480218 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Yongbin Luo |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I4210105327 |
| authorships[2].affiliations[0].raw_affiliation_string | Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan 430015, China |
| authorships[2].institutions[0].id | https://openalex.org/I4210105327 |
| authorships[2].institutions[0].ror | https://ror.org/01f0rgv52 |
| authorships[2].institutions[0].type | healthcare |
| authorships[2].institutions[0].lineage | https://openalex.org/I4210105327 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Wuhan Prevention and Treatment Center for Occupational Diseases |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Yongbin Luo |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan 430015, China |
| authorships[3].author.id | https://openalex.org/A5102503225 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Xiaolei Fu |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I4210105327 |
| authorships[3].affiliations[0].raw_affiliation_string | Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan 430015, China |
| authorships[3].institutions[0].id | https://openalex.org/I4210105327 |
| authorships[3].institutions[0].ror | https://ror.org/01f0rgv52 |
| authorships[3].institutions[0].type | healthcare |
| authorships[3].institutions[0].lineage | https://openalex.org/I4210105327 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Wuhan Prevention and Treatment Center for Occupational Diseases |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Xiaolei Fu |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan 430015, China |
| authorships[4].author.id | https://openalex.org/A5045219893 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Siyu Wan |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I4210105327 |
| authorships[4].affiliations[0].raw_affiliation_string | Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan 430015, China |
| authorships[4].institutions[0].id | https://openalex.org/I4210105327 |
| authorships[4].institutions[0].ror | https://ror.org/01f0rgv52 |
| authorships[4].institutions[0].type | healthcare |
| authorships[4].institutions[0].lineage | https://openalex.org/I4210105327 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | Wuhan Prevention and Treatment Center for Occupational Diseases |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Siyu Wan |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan 430015, China |
| authorships[5].author.id | https://openalex.org/A5100568338 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Xiaoli Mao |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I4210121573 |
| authorships[5].affiliations[0].raw_affiliation_string | School of Health and Nurse, Wuchang University of Technology, Wuhan 430063, China |
| authorships[5].institutions[0].id | https://openalex.org/I4210121573 |
| authorships[5].institutions[0].ror | https://ror.org/02mqsna37 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I4210121573 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | Wuchang University of Technology |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Xiaoli Mao |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | School of Health and Nurse, Wuchang University of Technology, Wuhan 430063, China |
| authorships[6].author.id | https://openalex.org/A5060976698 |
| authorships[6].author.orcid | https://orcid.org/0000-0003-0366-5174 |
| authorships[6].author.display_name | Wenjun Yin |
| authorships[6].countries | CN |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I4210105327 |
| authorships[6].affiliations[0].raw_affiliation_string | Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan 430015, China |
| authorships[6].institutions[0].id | https://openalex.org/I4210105327 |
| authorships[6].institutions[0].ror | https://ror.org/01f0rgv52 |
| authorships[6].institutions[0].type | healthcare |
| authorships[6].institutions[0].lineage | https://openalex.org/I4210105327 |
| authorships[6].institutions[0].country_code | CN |
| authorships[6].institutions[0].display_name | Wuhan Prevention and Treatment Center for Occupational Diseases |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Wenjun Yin |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan 430015, China |
| authorships[7].author.id | https://openalex.org/A5015242632 |
| authorships[7].author.orcid | |
| authorships[7].author.display_name | Zhiteng Min |
| authorships[7].countries | CN |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I4210105327 |
| authorships[7].affiliations[0].raw_affiliation_string | Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan 430015, China |
| authorships[7].institutions[0].id | https://openalex.org/I4210105327 |
| authorships[7].institutions[0].ror | https://ror.org/01f0rgv52 |
| authorships[7].institutions[0].type | healthcare |
| authorships[7].institutions[0].lineage | https://openalex.org/I4210105327 |
| authorships[7].institutions[0].country_code | CN |
| authorships[7].institutions[0].display_name | Wuhan Prevention and Treatment Center for Occupational Diseases |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Zhiteng Min |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan 430015, China |
| authorships[8].author.id | https://openalex.org/A5034627047 |
| authorships[8].author.orcid | |
| authorships[8].author.display_name | Jinfeng Jiang |
| authorships[8].countries | CN |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I4210105327 |
| authorships[8].affiliations[0].raw_affiliation_string | Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan 430015, China |
| authorships[8].institutions[0].id | https://openalex.org/I4210105327 |
| authorships[8].institutions[0].ror | https://ror.org/01f0rgv52 |
| authorships[8].institutions[0].type | healthcare |
| authorships[8].institutions[0].lineage | https://openalex.org/I4210105327 |
| authorships[8].institutions[0].country_code | CN |
| authorships[8].institutions[0].display_name | Wuhan Prevention and Treatment Center for Occupational Diseases |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Jinfeng Jiang |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan 430015, China |
| authorships[9].author.id | https://openalex.org/A5112644510 |
| authorships[9].author.orcid | |
| authorships[9].author.display_name | Guilin Yi |
| authorships[9].countries | CN |
| authorships[9].affiliations[0].institution_ids | https://openalex.org/I4210105327 |
| authorships[9].affiliations[0].raw_affiliation_string | Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan 430015, China |
| authorships[9].institutions[0].id | https://openalex.org/I4210105327 |
| authorships[9].institutions[0].ror | https://ror.org/01f0rgv52 |
| authorships[9].institutions[0].type | healthcare |
| authorships[9].institutions[0].lineage | https://openalex.org/I4210105327 |
| authorships[9].institutions[0].country_code | CN |
| authorships[9].institutions[0].display_name | Wuhan Prevention and Treatment Center for Occupational Diseases |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Guilin Yi |
| authorships[9].is_corresponding | True |
| authorships[9].raw_affiliation_strings | Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan 430015, China |
| authorships[10].author.id | https://openalex.org/A5001660299 |
| authorships[10].author.orcid | https://orcid.org/0000-0002-8190-6060 |
| authorships[10].author.display_name | Xiaodong Tan |
| authorships[10].countries | CN |
| authorships[10].affiliations[0].institution_ids | https://openalex.org/I4210121573 |
| authorships[10].affiliations[0].raw_affiliation_string | School of Health and Nurse, Wuchang University of Technology, Wuhan 430063, China |
| authorships[10].affiliations[1].institution_ids | https://openalex.org/I37461747 |
| authorships[10].affiliations[1].raw_affiliation_string | Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan 430072, China |
| authorships[10].institutions[0].id | https://openalex.org/I4210121573 |
| authorships[10].institutions[0].ror | https://ror.org/02mqsna37 |
| authorships[10].institutions[0].type | education |
| authorships[10].institutions[0].lineage | https://openalex.org/I4210121573 |
| authorships[10].institutions[0].country_code | CN |
| authorships[10].institutions[0].display_name | Wuchang University of Technology |
| authorships[10].institutions[1].id | https://openalex.org/I37461747 |
| authorships[10].institutions[1].ror | https://ror.org/033vjfk17 |
| authorships[10].institutions[1].type | education |
| authorships[10].institutions[1].lineage | https://openalex.org/I37461747 |
| authorships[10].institutions[1].country_code | CN |
| authorships[10].institutions[1].display_name | Wuhan University |
| authorships[10].author_position | last |
| authorships[10].raw_author_name | Xiaodong Tan |
| authorships[10].is_corresponding | True |
| authorships[10].raw_affiliation_strings | Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan 430072, China, School of Health and Nurse, Wuchang University of Technology, Wuhan 430063, China |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.mdpi.com/2218-1989/12/12/1259/pdf?version=1671010335 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Relationship between Occupational Metal Exposure and Hypertension Risk Based on Conditional Logistic Regression Analysis |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10866 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.6700000166893005 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2739 |
| primary_topic.subfield.display_name | Public Health, Environmental and Occupational Health |
| primary_topic.display_name | Nutritional Studies and Diet |
| related_works | https://openalex.org/W2361857538, https://openalex.org/W2492534274, https://openalex.org/W2348343818, https://openalex.org/W1986001860, https://openalex.org/W2372511151, https://openalex.org/W2363923273, https://openalex.org/W2372905118, https://openalex.org/W2362085224, https://openalex.org/W4238855198, https://openalex.org/W2047910030 |
| cited_by_count | 10 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 6 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 3 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 1 |
| locations_count | 5 |
| best_oa_location.id | doi:10.3390/metabo12121259 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2764402194 |
| best_oa_location.source.issn | 2218-1989 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2218-1989 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Metabolites |
| best_oa_location.source.host_organization | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.mdpi.com/2218-1989/12/12/1259/pdf?version=1671010335 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Metabolites |
| best_oa_location.landing_page_url | https://doi.org/10.3390/metabo12121259 |
| primary_location.id | doi:10.3390/metabo12121259 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2764402194 |
| primary_location.source.issn | 2218-1989 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2218-1989 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Metabolites |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/2218-1989/12/12/1259/pdf?version=1671010335 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Metabolites |
| primary_location.landing_page_url | https://doi.org/10.3390/metabo12121259 |
| publication_date | 2022-12-14 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W4212965718, https://openalex.org/W3004465995, https://openalex.org/W3128028937, https://openalex.org/W2939183555, https://openalex.org/W2914156905, https://openalex.org/W2999042852, https://openalex.org/W3214193141, https://openalex.org/W3083240803, https://openalex.org/W3011223525, https://openalex.org/W2772875556, https://openalex.org/W3121479726, https://openalex.org/W2996349234, https://openalex.org/W2395417791, https://openalex.org/W6800348154, https://openalex.org/W2817478800, https://openalex.org/W3165500258, https://openalex.org/W4294982940, https://openalex.org/W2579027505, https://openalex.org/W4295066678, https://openalex.org/W2951207076, https://openalex.org/W4293222057, https://openalex.org/W3185854011, https://openalex.org/W4253533636, https://openalex.org/W2018395149, https://openalex.org/W1870257566, https://openalex.org/W2006929600, https://openalex.org/W2966491920, https://openalex.org/W6639190009, https://openalex.org/W6750036148, https://openalex.org/W2005002747, https://openalex.org/W1984542516, https://openalex.org/W2767800755, https://openalex.org/W4206223691, https://openalex.org/W2795787434, https://openalex.org/W4206916303, https://openalex.org/W3197782887 |
| referenced_works_count | 36 |
| abstract_inverted_index.a | 3 |
| abstract_inverted_index.p | 163 |
| abstract_inverted_index.Cr | 139, 188 |
| abstract_inverted_index.Fe | 179, 206 |
| abstract_inverted_index.Mn | 166, 190 |
| abstract_inverted_index.Ni | 181, 208 |
| abstract_inverted_index.an | 136 |
| abstract_inverted_index.as | 73, 80, 171 |
| abstract_inverted_index.in | 48, 100, 138, 151, 156, 192, 217 |
| abstract_inverted_index.is | 2 |
| abstract_inverted_index.no | 175, 203 |
| abstract_inverted_index.of | 6, 17, 24, 34, 36, 61, 106, 118, 125, 132, 145, 200, 205 |
| abstract_inverted_index.on | 21, 209 |
| abstract_inverted_index.or | 180 |
| abstract_inverted_index.to | 30, 54, 89, 222 |
| abstract_inverted_index.138 | 70, 77 |
| abstract_inverted_index.CI: | 161 |
| abstract_inverted_index.Cr. | 172 |
| abstract_inverted_index.Our | 67, 184 |
| abstract_inverted_index.The | 82, 123 |
| abstract_inverted_index.and | 45, 50, 53, 63, 76, 95, 108, 113, 142, 182, 189, 207 |
| abstract_inverted_index.are | 220 |
| abstract_inverted_index.has | 167 |
| abstract_inverted_index.our | 224 |
| abstract_inverted_index.the | 15, 22, 32, 56, 59, 90, 97, 101, 104, 126, 130, 143, 152, 157, 168, 193, 198 |
| abstract_inverted_index.was | 28, 86, 147, 174, 212 |
| abstract_inverted_index.< | 164 |
| abstract_inverted_index.(95% | 160 |
| abstract_inverted_index.1.85 | 148 |
| abstract_inverted_index.This | 26 |
| abstract_inverted_index.been | 12 |
| abstract_inverted_index.case | 74 |
| abstract_inverted_index.dust | 99 |
| abstract_inverted_index.have | 11 |
| abstract_inverted_index.iron | 41 |
| abstract_inverted_index.out. | 122 |
| abstract_inverted_index.risk | 60, 84, 144, 199 |
| abstract_inverted_index.same | 169 |
| abstract_inverted_index.than | 155 |
| abstract_inverted_index.that | 129, 187 |
| abstract_inverted_index.were | 120 |
| abstract_inverted_index.with | 135 |
| abstract_inverted_index.work | 194 |
| abstract_inverted_index.(Cr), | 40 |
| abstract_inverted_index.(Fe), | 42 |
| abstract_inverted_index.(Mn), | 44 |
| abstract_inverted_index.(Ni)) | 47 |
| abstract_inverted_index.There | 173 |
| abstract_inverted_index.after | 93 |
| abstract_inverted_index.blood | 210 |
| abstract_inverted_index.level | 85 |
| abstract_inverted_index.limit | 91 |
| abstract_inverted_index.metal | 7, 19, 64, 98 |
| abstract_inverted_index.might | 196 |
| abstract_inverted_index.model | 127 |
| abstract_inverted_index.study | 27, 68, 215 |
| abstract_inverted_index.times | 149 |
| abstract_inverted_index.value | 92 |
| abstract_inverted_index.while | 202 |
| abstract_inverted_index.0.05). | 165 |
| abstract_inverted_index.assess | 31, 55 |
| abstract_inverted_index.effect | 16, 170, 204 |
| abstract_inverted_index.factor | 111 |
| abstract_inverted_index.found. | 213 |
| abstract_inverted_index.groups | 75 |
| abstract_inverted_index.higher | 150 |
| abstract_inverted_index.larger | 218 |
| abstract_inverted_index.level, | 141 |
| abstract_inverted_index.level. | 66 |
| abstract_inverted_index.levels | 33 |
| abstract_inverted_index.lowest | 158 |
| abstract_inverted_index.metals | 38 |
| abstract_inverted_index.needed | 221 |
| abstract_inverted_index.nickel | 46 |
| abstract_inverted_index.single | 110 |
| abstract_inverted_index.source | 5 |
| abstract_inverted_index.between | 58, 178 |
| abstract_inverted_index.carried | 121 |
| abstract_inverted_index.certain | 37 |
| abstract_inverted_index.confirm | 223 |
| abstract_inverted_index.designs | 216 |
| abstract_inverted_index.divided | 87 |
| abstract_inverted_index.highest | 153 |
| abstract_inverted_index.limited | 13 |
| abstract_inverted_index.results | 124 |
| abstract_inverted_index.single- | 107 |
| abstract_inverted_index.studies | 10 |
| abstract_inverted_index.testing | 96 |
| abstract_inverted_index.workers | 52 |
| abstract_inverted_index.analysis | 112, 117 |
| abstract_inverted_index.contact; | 8 |
| abstract_inverted_index.exposure | 1, 20, 35, 65, 83, 140, 154, 159, 191 |
| abstract_inverted_index.findings | 185 |
| abstract_inverted_index.included | 69 |
| abstract_inverted_index.increase | 137, 197 |
| abstract_inverted_index.logistic | 115 |
| abstract_inverted_index.patients | 72 |
| abstract_inverted_index.pressure | 211 |
| abstract_inverted_index.previous | 9 |
| abstract_inverted_index.(chromium | 39 |
| abstract_inverted_index.according | 88 |
| abstract_inverted_index.conducted | 29 |
| abstract_inverted_index.controls. | 81 |
| abstract_inverted_index.findings. | 225 |
| abstract_inverted_index.incidence | 131 |
| abstract_inverted_index.increased | 134 |
| abstract_inverted_index.indicated | 128 |
| abstract_inverted_index.influence | 105 |
| abstract_inverted_index.manganese | 43 |
| abstract_inverted_index.regarding | 14 |
| abstract_inverted_index.suggested | 186 |
| abstract_inverted_index.workshop. | 102 |
| abstract_inverted_index.collecting | 94 |
| abstract_inverted_index.poly-metal | 119 |
| abstract_inverted_index.regression | 116 |
| abstract_inverted_index.Considering | 103 |
| abstract_inverted_index.Prospective | 214 |
| abstract_inverted_index.conditional | 114 |
| abstract_inverted_index.correlation | 177 |
| abstract_inverted_index.development | 23 |
| abstract_inverted_index.environment | 195 |
| abstract_inverted_index.poly-metal, | 109 |
| abstract_inverted_index.populations | 219 |
| abstract_inverted_index.significant | 4, 176 |
| abstract_inverted_index.1.20–2.86, | 162 |
| abstract_inverted_index.Occupational | 0 |
| abstract_inverted_index.hypertension | 62, 133, 146 |
| abstract_inverted_index.hypertensive | 49, 71 |
| abstract_inverted_index.occupational | 18 |
| abstract_inverted_index.participants | 79 |
| abstract_inverted_index.relationship | 57 |
| abstract_inverted_index.hypertension, | 201 |
| abstract_inverted_index.hypertension. | 25, 183 |
| abstract_inverted_index.non-hypertensive | 51, 78 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5112644510, https://openalex.org/A5001660299 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 11 |
| corresponding_institution_ids | https://openalex.org/I37461747, https://openalex.org/I4210105327, https://openalex.org/I4210121573 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/8 |
| sustainable_development_goals[0].score | 0.5799999833106995 |
| sustainable_development_goals[0].display_name | Decent work and economic growth |
| citation_normalized_percentile.value | 0.86791878 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |