OBJECTIVEThe number of analyzed outcome variables is important in the statistical analysis and interpretation of research findings. This study investigated published papers in the field of environmental health studies. We aimed to examine whether differences in the number of reported outcome variables exist between papers with non-significant findings compared to those with significant findings. Articles on the maternal exposure to mercury and child development were used as examples.

METHODSArticles published between 1995 and 2013 focusing on the relationships between maternal exposure to mercury and child development were collected from Medline and Scopus.

RESULTSOf 87 extracted papers, 73 used statistical significance testing and 38 (43.7%) of these reported 'non-significant' (P>0.05) findings. The median number of child development outcome variables in papers reporting 'significant' (n=35) and 'non-significant' (n=38) results was 4 versus 7, respectively (Mann-Whitney test P-value=0.014). An elevated number of outcome variables was especially found in papers reporting non-significant associations between maternal mercury and outcomes when mercury was the only analyzed exposure variable.

CONCLUSIONAuthors often report analyzed health outcome variables based on their P-values rather than on stated primary research questions. Such a practice probably skews the research evidence.

Bias ; Child ; Child Development ; drug effects ; physiology ; Environmental Exposure ; statistics & numerical data ; Environmental Health ; statistics & numerical data ; Female ; Humans ; Maternal Exposure ; statistics & numerical data ; Mercury ; toxicity ; Outcome Assessment (Health Care) ; standards ; Periodicals as Topic ; standards ; statistics & numerical data

Air Pollutants, Occupational ; adverse effects ; analysis ; Dust ; analysis ; Environmental Monitoring ; instrumentation ; methods ; Humans ; Industry ; Inhalation Exposure ; statistics & numerical data ; Maximum Allowable Concentration ; Occupational Exposure ; statistics & numerical data ; Quartz

OBJECTIVETo measure and evaluate the personal noise exposure of cold rolling mill workers by using noise dosimeter.

METHODSAccording to job category and work type, all workers were divided into 11 groups. 3 to 5 day shift (8:00 to 16:00) workers from each group were selected as subjects for personal noise exposure measurement. SH-126 dosimeters were worn by each subject and collect noise data by a phone fix at collar. All subjects were asked to take notes about their working activities when they were wearing SH-126 dosimeters. Each worker's L(A)(eq) of 8 hours, geometric mean and range of each group were computed.

RESULTSThere were many noise sources in the workshop. Recorded data showed that noise exposure of cold rolling mill was unstable. The varieties of personal noise levels were quite large. Among 53 workers, the highest noise exposure level was 100.0 dB (A), the lowest was 81.2 dB (A); the highest work type was of the foreside welders [94.20 dB (A)], and the lowest was of the straight-cutters [89.02 dB (A)]; quality checkers had the biggest rang [16.3 dB (A)], and primary rolling workers had the lest [2.3 dB (A)].

CONCLUSIONNoise exposure of all the 11 groups were more than 85 dB (A). Noise protection of these workers should be improved. It suggested that measuring personal noise exposure individually with dosimeters might obtain the noise exposure level more integrally in the complicated environment.

Environmental Monitoring ; methods ; statistics & numerical data ; Humans ; Noise, Occupational ; prevention & control ; statistics & numerical data ; Occupational Exposure ; prevention & control ; statistics & numerical data

BACKGROUNDNoise is widespread occupational hazard in iron and steel industry. Overhead-traveling cranes are widely used in this industry, but few studies characterized the overhead-traveling crane drivers' noise exposure level so far. In this study, we assessed and characterized personal noise exposure levels of overhead-traveling crane drivers in two steel-rolling mills.

METHODSOne hundred and twenty-four overhead-traveling crane drivers, 76 in the cold steel-rolling mill and 48 in the hot steel-rolling mill, were enrolled in the study. Personal noise dosimeters (AIHUA Instruments Model AWA5610e, Hangzhou, China) were used to collect full-shift noise exposure data from all the participants. Crane drivers carried dosimeters with microphones placed near their collars during the work shifts. Work logs had been taken by the drivers simultaneously. Personal noise exposure data were divided into segments based on lines in which they worked. All statistical analyses were done using SPSS 13.0.

RESULTSThe average personal noise exposure (L(Aeq.8h)) of overhead-traveling crane drivers in the hot steel-rolling mills ((85.03 +/- 2.25) dB (A)) was higher than that in the cold one ((83.05 +/- 2.93) dB (A), P < 0.001). There were 17 overhead traveling cranes in the hot steel-rolling mill and 24 cranes in the cold one, of which carrying capacities varied from 15 tons to 100 tons. The average noise exposure level based on different lines in the hot and cold steel-rolling mills were (85.2 +/- 2.61) dB (A) and (83.3 +/- 3.10) dB (A) respectively (P = 0.001), which were similar to the average personal noise exposure in both mills. The noise exposure levels were different among different lines (P = 0.021).

CONCLUSIONNoise exposure levels, depending upon background noise levels and the noise levels on the ground, are inconstant. As the noise exposure levels are above the 85 dB (A) criteria, these drivers should be involved in the Hearing Conservation Program to protect their hearing.

Environmental Monitoring ; instrumentation ; methods ; statistics & numerical data ; Female ; Humans ; Male ; Noise, Occupational ; Noise, Transportation ; Occupational Exposure ; analysis ; statistics & numerical data ; Occupational Health ; statistics & numerical data ; Steel

China ; Cross-Sectional Studies ; Environmental Exposure/adverse effects* ; Mental Health/statistics & numerical data* ; Organophosphates/adverse effects* ; Rural Population

It is reported that depression has caused heavy disease burden across the world, with an possible association between ambient air pollution and depressive symptoms. In this paper, we reviewed relative literature in this field and summarized the research events on association between ambient air pollution and depression, both in China and abroad and found that the results of the existed studies were inconsistent, with most studies showing that there existed a positive correlation between the exposure of air pollution and depression, but few studies showing the negative correlation or no correlation between the two.
Air Pollutants/analysis* ; Air Pollution/statistics & numerical data* ; China ; Depression/epidemiology* ; Depressive Disorder ; Environmental Exposure/statistics & numerical data* ; Female ; Humans ; Particulate Matter/analysis* ; Research/trends* ; Residence Characteristics

Objective: To carry out a quantitative estimate that related to the effects of short-term exposure to PM(2.5) on all-cause mortality and emergency visits in China by using the systematic review and Meta-analysis. Methods: We selected all the studies published before March 2018 from China National Knowledge Infrastructure, Wanfang database, PubMed and EMBASE and data on relative risk (RR), excess risk (ER) and their 95%CIs: appeared in these papers were extracted. According to the differences in the size or direction (heterogeneity) of the results, we computed summary estimates of the effect values using a random-effect or fixed effect model. We also conducted the subgroup analysis and Meta-analysis to have assessed the selected studies for the evidence of study bias. Results: A total of 33 original studies, indexed in databases, were identified. Among those studies, 39 sets of data on mortality and 4 sets of data on emergency were valid to show that within the daily concentration range from 47.7 to 176.7 μg/m(3), for 10 μg/m(3) increases in PM(2.5) concentrations, it would increase the daily numbers of deaths by 0.49% (95%CI: 0.39%-0.59%) and 0.30% (95%CI: 0.10%-0.51%) for all-cause deaths and all-cause emergency-room visits, respectively. For subgroup analysis, the combined effect of PM(2.5) in causing short-term all-cause deaths in the northern areas (ER=0.42%, 95%CI: 0.30%-0.54%) seemed lower than that in the southern areas (ER=0.63%, 95%CI: 0.44%-0.82%). The combined effect of PM(2.5) concentration below 75 μg/m(3) (ER=0.50%, 95%CI: 0.37%-0.62%) was higher than that of PM(2.5) concentration ≥75 μg/m(3) (ER=0.39%, 95%CI: 0.26%-0.52%). Conclusion: Within the concentration range from 47.7 to 176.7 μg/m(3), short-term exposure to current level of PM(2.5) might increase both the all-cause daily mortality and daily emergency visits in China.
Air Pollutants ; Air Pollution/statistics & numerical data* ; China ; Databases, Factual ; Emergency Service, Hospital/statistics & numerical data* ; Environmental Exposure/statistics & numerical data* ; Female ; Humans ; Male ; Particulate Matter/toxicity* ; Time Factors

Hydatidosis has become a real concern for health care institutions and animal rearers in Tunisia. The Tunisian endemicity is aggravated by the growing number of dogs and the difficulty of getting rid of contaminated viscera because of the lack of equipment in most slaughterhouses. Therefore, microscopic and molecular tools were applied to evaluate the role of slaughterhouses in canine infection and Echinococcus granulosus sensu lato (s. l.) egg dissemination. Exposure risk to E. granulosus s. l. eggs in urban and rural areas was explored in order to implant preventive and adapted control strategies. Microscopic examinations detected taeniid eggs in 152 amongst 553 fecal samples. The copro-PCR demonstrated that 138 of 152 taeniid samples analyzed were positive for E. granulosus s. l. DNA. PCR-RFLP demonstrated that all isolated samples belonged to E. granulosus sensu stricto (s. s.). An important environmental contamination index (25.0%) by E. granulosus s. l. eggs was demonstrated. The average contamination index from the regions around slaughterhouses (23.3%; 95% CI: 17.7-28.9%) was in the same range as detected in areas located far from slaughterhouses (26.0%, 95% CI: 21.3-30.8%). Echinococcosis endemic areas were extended in both rural (29.9%, 95% CI: 24.8-34.9%) and urban locations (18.1%, 95% CI: 13.0-22.9%). The pathogen dissemination is related neither to the presence/absence of slaughterhouses nor to the location in urban or rural areas, but is probably influenced by human activities (home slaughtering) and behavior towards the infected viscera.
Abattoirs/*standards/statistics & numerical data ; Animals ; Dog Diseases/*epidemiology/prevention & control ; Dogs ; Echinococcosis/epidemiology/prevention & control/*veterinary ; Echinococcus granulosus/*physiology ; *Environmental Exposure ; *Rural Population ; Tunisia/epidemiology ; *Urban Population

BACKGROUND: Previous studies have suggested that exposure to air pollution may increase stroke risk, but the results remain inconsistent. Evidence of more recent studies is highly warranted, especially gas air pollutants. METHODS: We searched PubMed, Embase, and Web of Science to identify studies till February 2020 and conducted a meta-analysis on the association between air pollution (PM RESULTS: A total of 68 studies conducted from more than 23 million participants were included in our meta-analysis. Meta-analyses showed significant associations of all six air pollutants and stroke hospital admission (e.g., PM CONCLUSIONS Exposure to air pollution was positively associated with an increased risk of stroke hospital admission (PM
Air Pollutants/adverse effects* ; Air Pollution/adverse effects* ; Environmental Exposure/adverse effects* ; Hospitalization/statistics & numerical data* ; Humans ; Incidence ; Particle Size ; Particulate Matter/adverse effects* ; Stroke/mortality*

Objective: The relationship between outdoor temperature and blood pressure (BP) has been inconclusive. We analyzed data from a prospective cohort study in northwestern China to investigate the effect of outdoor temperature on BP and effect modification by season. Methods: A total of 32,710 individuals who participated in both the baseline survey and the first follow-up in 2011-2015 were included in the study. A linear mixed-effect model and generalized additive mixed model (GAMM) were applied to estimate the association between outdoor temperature and BP after adjusting for confounding variables. Results: The mean differences in systolic blood pressure (SBP) and diastolic blood pressure (DBP) between summer and winter were 3.5 mmHg and 2.75 mmHg, respectively. After adjusting for individual characteristics, meteorological factors and air pollutants, a significant increase in SBP and DBP was observed for lag 06 day and lag 04 day, a 0.28 mmHg (95% Conclusions This study demonstrated a significant negative association between outdoor temperature and BP in a high-altitude environment of northwest China. Moreover, BP showed a significant seasonal variation. The association between BP and temperature differed by season and individuals' demographic characteristics (age, gender, BMI), unhealthy behaviors (smoking and alcohol consumption), and chronic disease status (CVDs, hypertension, and diabetes).
Adult ; Blood Pressure/physiology* ; China/epidemiology* ; Environmental Exposure/statistics & numerical data* ; Female ; Humans ; Male ; Middle Aged ; Prospective Studies ; Risk Factors ; Seasons ; Temperature