| Objectives To explore the relationship between occupational hazard factors（high temperature,noise,dust,carbon monoxide,work shifts,etc.）,circadian rhythm-related genes and abnormal dyslipidemia.Methods Through collecting relevant information,and taking 6,822 employees that are selected by cluster sampling from the production department of certain steel company as the respondent,analysis on the interaction between occupational hazards and dyslipidemia is formulated by adopting prevalence study and applying restricted cubic spline（RCS）and multi-factor logistic regression model.Meanwhile,it establishes a risk score to analyze the relationship between occupational hazards and dyslipidemia.In addition,it designs cases in groups for comparison research,and selects 487 males patients with dyslipidemia and753 males as the study object in accordance with the inclusion and exclusion criteria.Moreover,it determines 4 eligible circadian-related genetic locus in accordance with the literature,analyzes the relationship between gene-gene,gene-environment interaction and risks for dyslipidemia by adopting multi-factor logistic regression model and generalized multi-factor dimensionality reduction（GMDR）.Results 1 Among 6,822 subjects,2,640 subjects have dyslipidemia,with a prevalence rate of dyslipidemia of 38.70%;2 After adjusting relevant factors,it has found that cumulative night shifts number,high temperature and noise are correlated with dyslipidemia taking the cumulative amount of each occupational harmful factor of 0 as the reference group（the model overall relevance test P<0.05;non-linear test P<0.05）;3 The results of multi-factor logistic regression model shows that compared with the accumulated high temperature exposure of 0～℃·year,the exposure is 434.86～℃·year（OR=1.23,95%CI:1.04～1.45）,611.20～℃·years（OR=1.37,95%CI:1.13～1.66）,742.46～℃·years（OR=1.60,95%CI:1.29～1.89）are all high risk factors causing dyslipidemia;Compared with regular day or night shifts,workers with night shifts accumulate days between2436.18～days（OR=1.20,95%CI:1.01～1.42）is a risk factor causing dyslipidemia;4 In a single risk score,compared with the control group≤0.123,0.123～group（OR=1.16,95%CI:0.99～1.36）,0.276～group（OR=1.46,95%CI:1.24～1.72）and 0.419～group（OR=1.54,95%CI:1.30～1.83）are high risk factors causing dyslipidemia.And in the combined risk score,0.180～group（OR=1.26,95%CI:1.08～1.47）,0.331～group（OR=1.40,95%CI:1.19～1.65）and 0.444～Groups（OR=1.59,95%CI:1.35～1.89）are high risk factors causing dyslipidemia.The combined risk factor score is characterized in multiplication interaction with BMI(P multiplication<0.05);5 The T gene at the rs2119882 locus of the MTNR1A gene is a protective factor for dyslipidemia（P<0.05）,and the A gene at the rs934945 locus of the PER2 gene is a risk factor for dyslipidemia（P<0.05）;6 RER2 gene rs934945 locus and occupational hazardous factors of dust are characterized in multiplication interaction(P multiplication<0.05);7 GMDR results show that the three locus of rs2119882-rs934945-rs180260 are characterized in gene-gene interaction,and rs2119882-rs934945-high temperature-noise-dust-CO-work shifts are characterized in complex gene-environment interaction.Conclusions 1 Work shifts,high temperature,noise and dyslipidemia are characterized in dose-response relationship;2 The single risk score and the combined risk score,and dyslipidemia are characterized in dose-response relationship,and the combined risk score and BMI have a multiplication interaction;3 MTNR1A gene rs2119882 locus PER2 gene rs934945 locus polymorphism is correlated with dyslipidemia;4 RER2 gene rs934945locus is characterized in a multiplication interaction with occupational harmful factors of dust,rs2119882-rs934945-rs180260 have a gene-gene interaction,and rs2119882-rs934945-high temperature-noise-Dust-CO-work shifts have a gene-environment interaction.Figure15;Table 45;Reference 113... |
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