- A Meta-analysis of the Association between Blood Lead and Blood Pressure.
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Sang Baek Koh, Chun Bae Kim, Chung Mo Nam, Hong Ryul Choi, Bong Suk Cha, Jong Ku Park, Ho Sung Jee
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Korean J Prev Med. 2001;34(3):262-268.
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 Abstract
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- OBJECTIVES
To integrate the results of studies which assess an association between blood lead and blood pressure. METHODS: We surveyed the existing literature using a MEDLINE search with blood lead and blood pressure as key words, including reports published from January 1980 to December 2000. The criteria for quality evaluation were as follows: 1) the study subjects must have been workers exposed to lead, and 2) both blood pressure and blood lead must have been measured and presented with sufficient details so as to estimate or calculate the size of the association as a continuous variable. Among the 129 articles retrieved, 13 studies were selected for quantitative meta-analysis. Before the integration of each regression coefficient for the association between blood pressure and blood lead, a homogeneity test was conducted. RESULTS: As the homogeneity of studies was rejected in a fixed effect model, we used the results in a random effect model. Our quantitative meta-analysis yielded weighted regression coefficients of blood lead associated with systolic blood pressure and diastolic blood pressure results of 0.0047 (95% confidence interval [CI]: -0.0061, 0.0155) and 0.0004 (95% CI: -0.0031, 0.0039), respectively. CONCLUSIONS: The published evidence suggested that there may be a weak positive association between blood lead and blood pressure, but the association is not significant.
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- A Meta-analysis on the Association between Chronic Noise Exposure and Blood Pressure.
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Chun Bae Kim, Sang Baek Koh, Jai Young Kim, Bong Suk Cha, Hong Ryul Choi, Jong Tae Lee, Chung Mo Nam, Sang Yun Lee, Seung jun Wang, Keeho Park, Dae Youl Kim
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Korean J Prev Med. 2000;33(3):343-348.
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Abstract
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This study was conducted to integrate the results of studies assessing the association between chronic noise exposure and blood pressure. METHODS: Using a MEDLINE search with noise exposure, blood pressure and hypertension as key words, we retrieved articles from the literature that were published from 1980 to December 1999. The criteria for quality evaluation were as follows: 1) the study subjects must have been workers employed at a high noise level area 2) The paper should use average and cumulative noise exposure as method for exposure evaluation. 3) Blood pressure in each article should be reported in a continuous scale Among the 77 retrieved articles, six studies were selected for quantitative meta-analysis. Before the integration of the regression coefficients for the association between blood pressure and noise level, homogeneity tests were conducted. RESULTS: All studies were a cross-sectional design and the study subjects were industrial workers. Five papers used a time-weighted average for noise exposure and only one paper calculated the cumulative noise exposure level. The measurement of blood pressure in the majority of studies were accomplished in a resting state, and used an average of two or more readings. The homogeneity of studies was rejected in a fixed effect model, so we used the results in a random effect model. The results of the quantitative meta-analysis, the weighted regression coefficient of noise associated with systolic blood pressure and diastolic blood pressure were 0.05 (95% confidence interval [CI]: -0.03, 0.13) and 0.06 (95% CI: -0.01, 0.13), respectively. CONCLUSIONS: Our results suggested that chronic exposure to industrial noise does not cause elevated blood pressure.
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- Effects of Job Strains on Absenteeism from Work.
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Bong Suk Cha, Sang Baek Koh, Sei Jin Chang, Hong Ryul Choi, Hyong Sik Kim
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Korean J Prev Med. 1999;32(4):505-512.
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Abstract
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The purpose of this study was to assess the relationship between job strains and absenteeism from work. METHODS: The study design was cross-sectional, and the study subjects consisted of 1,166 workers who were employed in the small-sized industries. A self administered questionnaire was used to measure the general characteristics, job characteristics(job demand, job control), and social support(coworker support, supervisor support) at work. The Job Content Questionnaire(JCQ) was used to assess job demand(2 items) and decision lattitude(10 items). Social support at work (10 items) was measured using JCQ. Sick absence was collected using self-report and were rechecked by the attendance record of their company. Odds ratios and 95% confidence intervals for the association between job strain and sick absence were estimated. The modifying effect of social support was evaluated by stratification. Logistic regression was used to estimate the relationship between job strain and sick absence. RESULTS: In the bivariate analysis, the variables related to sick absence were age, marital status, occupation, job demand. Four distinctly different kinds of level of job strain were generated by the combination of job demand and job control: low strain group, high strain group, active group, and passive group. The crude odds ratio of high job strain was 1.78(95% CI: 1.26-2.53), and those of active group and passive group were 1.33(95% CI: 1.07-1.66) and 1.13 (95% CI: 0.88-1.47), respectively. The odds ratio of high job strain after adjusting for age and occupation were still significant. The odds ratio of high job strain in low social support was 5.96(95% CI: 2.45-14.51), but that in high social support was 0.73(95% CI: 0.26-2.01). CONCLUSIONS: Job strain was associated with increased risk of absenteeism from work, and social support at work modified the association between job strain and sick absence.
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