Association between urinary metals and 1-hydroxypyrene and adiponectin among shipyard workers

• Main Authors: HO, A-CHUAN, 賀安駿
• Other Authors: LAI, CHING-HUANG
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/tm4y8d

碩士 === 國防醫學院 === 公共衛生學研究所 === 105 === Shipyard workers expose to various types of chemical and physical hazards during the work, such as fine particles, dust, metal, polycyclic aromatic hydrocarbons (PAHs), and noise, high temperature etc.. Previous studies showed that shipyard workers exposed to nickel would increase the risk of metabolic syndrome (MS). Recent epidemiologic studies had suggested obesity, type 2 diabetes, metabolic syndrome and cardiovascular disease were associated with adiponectin levels. The aim of this study was to investigate whether metal exposure would affect the concentration of adiponectin among shipyard workers. A total of 96 male shipyard workers were recruited at baseline (2015). Not all 96 participants completed the follow-up assessments; thus, new participants were recruited at different follow-up times. In all, 82 participants volunteered for all 2 activities, and 49 participants volunteered for one activity. A total of 131 measurements were collected and included in the subsequent statistical analyses. Personal samplers were used to collect 24-hour PM2.5-integrated samples. All participants completed an interview, and blood and urine samples were collected the next morning. All collection procedures were repeated after a one-year follow-up period. Urine samples were used to analyze for metal and plasma were used to detect the concentration of adiponectin. Waist circumference, triglyceride, high density lipoprotein, systolic pressure, diastolic pressure, fasting glucose were measured as indicators of MS. HOMA-IR was computed measured as indicator of insulin resistance. In subcontractors, urinary metals and PAHs concentrations were inversely associated with plasma adiponectin. After adjusting for confounds through a generalized estimating equation (GEE) analysis, per log