Relationship of Biological Lead Level and Metabolic Syndrome

Description

This dataset contains the data extracted and analyzed for a systematic review and meta-analysis investigating the association between biological lead exposure and metabolic syndrome (MetS) in human populations. The study hypothesized that higher biological lead levels are associated with an increased likelihood of MetS. The dataset includes study characteristics, participant characteristics, biological lead exposure measurements, MetS definitions, effect estimates, and statistical information used for the meta-analysis and related analyses. The data were extracted from eligible observational studies identified through a systematic literature search and standardized for quantitative synthesis where applicable. The findings indicate an association between higher biological lead exposure and metabolic syndrome, with substantial variability across studies. Because the evidence is primarily observational, the findings should be interpreted as an association rather than proof of causality. The dataset is provided to support transparency, reproducibility, and future secondary analyses of the relationship between lead exposure and cardiometabolic health.

Steps to reproduce

The dataset was generated through a systematic review and meta-analysis conducted according to established systematic review methodology and reported following PRISMA guidelines. The review protocol was registered in PROSPERO (CRD42024543136). Relevant observational studies investigating the association between biological lead exposure and metabolic syndrome were identified through systematic database searches. Studies were screened according to predefined eligibility criteria, followed by full-text assessment and final inclusion. Data were independently extracted from eligible studies using a standardized data-extraction form, including study characteristics, participant characteristics, biological lead exposure measures, metabolic syndrome definitions, effect estimates, and relevant statistical information. Extracted data were checked and standardized before quantitative synthesis. Effect estimates were converted to a common measure where appropriate, and pooled estimates were calculated using meta-analytic methods. Between-study heterogeneity was assessed statistically, with additional subgroup and sensitivity analyses conducted where applicable. The dataset contains the study-level extracted data and derived variables used in the reported analyses and is intended to support reproducibility and secondary analysis. Users should refer to the accompanying publication and data dictionary for detailed variable definitions, search strategy, eligibility criteria, and analytical procedures.

Institutions

• University of Indonesia

  West Java, Depok

Categories

Licence