Indian Journal of Occupational and Environmental Medicine最新文献

Diabetes mellitus has led to a huge increase in its number over recent decades. Due to their occupation, truck drivers are predisposed to higher risk of lifestyle disorders. Hence, this study intended to assess their risk of developing diabetes mellitus with respect to IDRS (Indian Diabetes Risk Score). A cross-sectional study was conducted in a selected logistic company for 3 months, where 160 interstate truck drivers were selected by simple random sampling. The collected data were analyzed using descriptive and inferential statistics using SPSS 16 version. The mean age of study participants was 38.4 ± 10.7 years. Of the total, 49.5% of the participants had a high IDRS. A significant increase in IDRS was associated with the occupational variables. Strict monitoring of government guidelines on fair working hours for truck drivers is required. They, being a high-risk group due to their occupation, require periodic health checkups, and appropriate measures should be taken to minimize the detrimental effects on their health.

Background: There are adverse effects on the health outcomes of workers whose occupation involves prolonged standing, such as lower back pain, leg pain, cardiovascular diseases, fatigue, discomfort, and pregnancy-related health outcomes. The effectiveness of massage therapy as an intervention for managing leg pain associated with prolonged standing needs to be addressed.

Aims: This study aimed to evaluate the smart dynamic fabric actuator's effectiveness in treating chronic musculoskeletal leg pain in persons with occupations involving prolonged standing.

Setting: Tertiary care hospital.

Design: Randomized controlled trial.

Methods: Thirty participants with chronic leg pain satisfying the inclusion and exclusion criteria participated in the study. The intervention group used the device for 15 minutes for each leg once a day and stretching exercises twice a day for six weeks. The control group performed stretching exercises twice a day for six weeks. The outcome was assessed at baseline, three weeks, and six weeks with a Numeric Rating Scale for pain and fatigue, short form-McGill Pain Questionnaire for pain, and SF-36 for quality of life.

Statistical analysis: The groups were compared using the two-sample t-test with equal variances, the two-sample Wilcoxon rank-sum test, and the Chi² exact test as appropriate.

Results: Thirty medical (nursing officers and doctors) and nonmedical professionals (security guards and sales assistants) with a mean age of 32.9 ± 5.6 years (intervention group) and 36.2 ± 5.1 years (control group) participated in the study. At six weeks, a significant improvement in pain (4.80 ± 1.14 to 1.66 ± 1.04 vs 4.66 ± 0.89 to 2.6 ± 0.91, P = 0.014), quality of life (58.77 ± 9.06 to 71.76 ± 8.43 vs 51.39 ± 8.26 to 63.87 ± 7.61, P = 0.012), and reduced fatigue (5 to 2 vs 5 to 3, P = 0.003) was observed in the intervention group when compared with the control group. No adverse events were observed.

Conclusion: A smart dynamic fabric actuator can be used as an adjunct to exercises for reducing leg pain and fatigue associated with prolonged standing.

Background: Legacy dump sites pose health and environmental risks. Challenges such as difficulty in monitoring and the impact of policy changes towards remediation efforts remain enigmatic due to complexities.

Objectives: Hence this study aimed to use Geographic Information System (GIS) and Google Earth historical imagery to monitor changes in legacy dump site located at Sarona in Raipur and to assess the impact of waste management strategies being implemented currently.

Methods: A series of historical images were retrieved using Google Earth Pro 2022 (at eye level of 707 meters) from 2007 to 2021. A polygon was plotted using Google Earth, and area of plotted polygon was estimated using QGIS by projecting in desired coordinates (i.e., WGS84 and 44Q). Percentage change in land area use was observed. Time series analysis was conducted using Autoregressive Integrated Moving Average (ARIMA) model to forecast land area use.

Results: There was a fluctuating trend in land area use by the legacy dump site from 2007 to 2019 with 661.90% increase indicating the need for proper waste management system. Time series analysis of the land area used showed a steep reduction of 36.65% in 2019-20, followed by 78.30% in 2020-21. The Solid Waste Management Rules, 2016 and the functioning of Material Recovery Facility (MRF) in 2020 resulted in a significant reduction in land use at the dump site. As per analysis, 4.84 acres of land was found yet to be remediated to which the Raipur Municipal Corporation is committed to accomplish by December 2024.

Conclusion: The application of GIS coupled with Google Earth can be a useful tool to monitor changes in land area of legacy dumpsites. Currently employed waste management strategies resulted in sustainable land use and environment conservation, without which it would have experienced exponential growth, necessitating additional land area in the future.

Context: Cleaning consists of different activities such as mopping, sweeping, swabbing, dusting, disposing of trash, and buffing. These different physical activities of the cleaners can change the body's normal biomechanics, possibly leading to the development of musculoskeletal disorders over time.

Aims: This study aimed to check the ergonomic risk and its relationship with age, BMI, and work experience among cleaners.

Settings and design: The study was conducted among 95 cleaners of different educational institutes and hospitals in Vadodara based on selection criteria.

Methods and material: Ergonomic Risk assessment was evaluated by the Rapid Entire Body Assessment (REBA) tool for various cleaning tasks (sweeping, mopping, wiping, and picking up trash).

Results: The ergonomic risk for various cleaning tasks ranged from medium to high. However, the relationship between ergonomic risk assessments for different cleaning tasks (such as sweeping, mopping, wiping, and picking up trash) and factors such as age, BMI, and work experience indicates a statistically weak correlation.

Conclusion: Medium to high ergonomic risk of various cleaning activities suggests that necessary intervention is required sooner in the form of ergonomic awareness, frequent rest periods, education of safe postures, better tool design, and the establishment of comprehensive policies for occupational safety and health of cleaners.

Context: Psychosocial factors at the workplace play a significant role in the development of work stress and are associated with cardiovascular diseases, diabetes mellitus, and musculoskeletal disorders. Imbalance due to high effort and low reward at the workplace among information technology (IT) professionals can lead to work stress.

Aim: To assess the effort-reward imbalance (ERI) among IT professionals and its association with musculoskeletal pain.

Settings and design: A cross-sectional study was conducted among 200 IT professionals to assess their work-related stress and musculoskeletal pain.

Methods and material: A short version of the ERI questionnaire and Nordic musculoskeletal questionnaire was used. Along with the ERI questionnaire, the details on sociodemographic profile, chronic diseases, and substance abuses were ascertained.

Result: Among the study population, the prevalence of musculoskeletal pain in any part of the body was 77% in the past one year. Effort-reward imbalance was present in 72% of the study population, and linear regression showed a significant correlation between the effort-reward component with the severity of musculoskeletal score (r = 0.725 P < 0.001). Odds ratio of ERI for musculoskeletal pain was 3.2, 95% CI (2.1-4.7), P < 0.01.

Conclusions: Psychosocial factors at work assessed through ERI appeared to be an important component in the development of musculoskeletal pain among IT professionals.

Pesticides induce oxidative DNA damage and genotoxic effects such as DNA single-strand breaks (SSBs), double-strand breaks (DSBs), DNA adducts, chromosomal aberrations, and enhanced sister chromatid exchanges. Such DNA damage can be repaired by DNA repair mechanisms. In humans, single nucleotide polymorphisms (SNPs) are present in DNA repair genes involved in base excision repair (BER) (OGG1, XRCC1, and APE1), nucleotide excision repair (NER) (XPC, XPD, XPF, XPG, and ERCC1), and double-strand break repair (DSBR) (XRCC4 and RAD51). This systematic review intends to provide information about occupational pesticide exposure, genotoxic effects of pesticides as well as association of DNA repair gene polymorphisms with the risk of pesticide-induced DNA damage. Polymorphisms present in DNA repair genes may influence interindividual variation in DNA repair capacity (DRC) by altering the functional properties of DNA repair enzymes and thus modulate DNA damage. The mechanisms of oxidative damage and disrupted DNA repair caused by the pesticides explain the link between pesticide exposure and adverse health outcomes. These polymorphisms in DNA repair genes could be used as biomarkers of susceptibility for pesticide-induced DNA damage among agricultural workers. It could also be useful as a preventive measure by identifying the genetic susceptibility of agricultural workers to pesticide-induced oxidative stress as well as pesticide poisoning.

Background: Physical activity appears to be one of the most important strategies for preventing physical and mental disorders. Regular physical activity (PA) may prolong life and appears to be a preventative measure against genetic and molecular aging.

Aim: To find the relationship between aging adults' quality of life (QOL) and PA.

Settings and design: This cross-sectional analytical study included administrative staff members of Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry.

Materials and methods: QOL and PA were monitored and assessed using questionnaires (Global Physical Activity Questionnaire [GPAQ] and World Health Organization QOL Brief Version [WHOQOL-BREF]). Statistical analysis was performed with STATA version 14. For continuous variables, descriptive statistics were presented as means and standard deviations (SDs), while categorical variables were given as percentages. The analysis of multivariate linear regression was performed. P < 0.05 was used as the significance level.

Results: A total of 66 subjects were examined, and their mean age was 54.93 (SD 3.26) years. The findings indicated that there were no less-active participants, and that people over the age of 50 were more likely to engage in moderate or vigorous PA. The WHOQOL-BREF findings revealed that people had higher QOL. There was no significant link between WHOQOL-BREF dimensions and GPAQ when the effect of PA patterns on QOL was examined using multivariate linear regression analysis, which was adjusted for covariates such as body mass index and waist circumference.

Conclusion: The amount of physical activity among aging population may differ in different dimensions of QOL.

Background: Female healthcare workers have unique occupational stressors and lifestyle factors that may increase their risk of metabolic disorders. This study aimed to investigate the utility of the fatty liver index (FLI) as a predictor of metabolic syndrome among female employees in the healthcare sector.

Methods: This cross-sectional study included 450 female healthcare workers aged ≥18 years, employed in various roles at a tertiary healthcare facility in Gujarat. Clinical examination, anthropometric measurements, and biochemical tests were conducted. FLI was calculated, and metabolic syndrome was diagnosed using harmonized criteria. Logistic regression analysis evaluated predictors.

Results: The mean age was 44.2 ± 7.8 years, and the prevalence of metabolic syndrome was 61%. Increasing the FLI category was significantly associated with a worsening metabolic profile. The odds of hypertension, diabetes, metabolic syndrome, and cardiovascular disease progressively increased with higher FLI levels (P < 0.001), denoting a dose-response relationship. FLI demonstrated good diagnostic accuracy for metabolic syndrome with an area under the curve (AUC) of 0.86 (95% CI: 0.81 - 0.89). An FLI cutoff ≥30 provided an optimal balance of sensitivity (71%) and specificity (41%) for predicting metabolic syndrome.

Conclusion: FLI demonstrates a strong association with metabolic syndrome and related comorbidities in a dose-dependent manner. FLI can be a simple, low-cost screening tool to identify high metabolic risk individuals in resource-limited settings.

Background: Different domains of cognitive function are important in some jobs, such as office work. Ergonomic risk factors may affect cognitive function.

Aim: This study was designed to assess the effect of an ergonomic training intervention on the cognitive function of office workers.

Materials and methods: This was a before-after study performed in 2020 in Yazd, Iran on female office workers. Cognitive function (working memory, attention, and response time) was assessed by Wechsler working memory and Stroop tests before and after the intervention. Ergonomic intervention consisted of an ergonomic modification of the workstation and a training program about ergonomic principles of office work. Data were analyzed by SPSS (ver. 24) using paired t-test and the multiple regression linear model.

Results: Mean age and work experience of the participants were 35.38 ± 1.60 and 8.54 ± 1.24 yr., respectively. Forward visual memory, response time, and interference time were significantly changed after the intervention, but the change in other aspects of cognitive function (i.e., memory span, backward visual memory, and interference score) was not statistically significant. Marital status, age, and working hours significantly affected working memory, test duration and response time, and number of errors, respectively.

Conclusion: This study showed that ergonomic intervention (modification of workstation and training) may significantly affect some aspects of cognitive function in office workers.

Introduction: Fatal and non-fatal occupational injuries are one of the most important public health problems all over the world. Its number greatly varies from country to country over the years. Worldwide approximately 4% of global gross domestic product (GDP) is lost due to occupational injuries. It has also been estimated that daily, approximately 1 million workers get injured, and more than 5000 workers die due to their occupation. In this research work, using modern data analytics techniques, we have tried to explore the current situation and time trend of fatal and non-fatal occupational injuries globally and in India.

Materials and methods: Using the open-source data available at the International Labour Organization (ILO) database and the Government of India open database, analysis was performed systematically using R and Python programming languages. Data have been accessed by December 31, 2022. To make a representative sample population for this article, four countries from Europe and Central Asia region (Russia, France, Germany, and United Kingdom), four countries from the Asia-Pacific region (India, Australia, Japan, and Republic of Korea), and two countries from Americas (United States and Argentina) are selected for a meaningful comparison purpose.

Results: Since 2000, the time trend of fatal and non-fatal occupational injuries has been increasing trend globally. The yearly average (± standard deviation) of fatal and non-fatal injuries per country per million population was 256 (±68) and 83380 (±41280). The number of fatal injuries in India has increased over the years, but the number of non-fatal injuries in India is decreasing trend.

Discussion: According to the ILO database, it has been revealed in this article that, on average yearly, 83380 per million population total occupational injuries are reported worldwide. Among them, yearly, 256 per million population (0.3%) workers per country succumbed to injuries. According to Government of India database, there was an average of 271 deaths per year between 2000 and 2021. For evidence-based decision and policy making and subsequent program implementation, the availability of timely, good-quality data from every industrial sector of society is most important. It can only be achieved by implementing integrated occupational injury surveillance programs at national and global levels.