Tag: nevin manimala

J Public Health Res. 2023 Sep 14;12(3):22799036231196732. doi: 10.1177/22799036231196732. eCollection 2023 Jul.

ABSTRACT

BACKGROUND: Adult overweight and obesity, in addition to the intake of saturated fat and total serum cholesterol must be monitored as biological risk factors for non-communicable diseases (NCDs). Bioelectric impedance analysis (BIA) provides data on body fat for use in epidemiological settings. However, optimized equations should be used to calculate percentage body fat (%BF). The purpose of this study was to assess the differences between %BF calculated using different published BIA equations and %BF measured by BIA in young South African adults.

DESIGN AND METHODS: In this observational study, differences in calculated %BF were assessed, with different BIA equations retrieved from the literature used in 1128 healthy young adults aged 20-30 years. The %BF (measured by BIA) was compared between equations, between Black and White men and women, respectively.

RESULTS: The results showed statistically significant differences in the %BF calculated from published BIA equations when used in young South African adults (χ² = 946, χ² = 2528, χ² = 2088, respectively, p < 0.0001). In Black and White men and women, respectively, %BF levels were significantly higher when calculated by equations, than when measured by BIA (p < 0.0001).

CONCLUSION: There seem to be large discrepancies in estimating %BF by BIA equations and these values cannot be used interchangeably for young South African adults. A South African age, ethnicity and sex-specific BIA equation needs to be developed to accurately estimate %BF in young South African adults.

PMID:37720847 | PMC:PMC10503279 | DOI:10.1177/22799036231196732

SSM Popul Health. 2023 Sep 9;24:101508. doi: 10.1016/j.ssmph.2023.101508. eCollection 2023 Dec.

ABSTRACT

BACKGROUND: The economic selection hypothesis, which argues that the initial economic situation determines both subsequent health and economic conditions, has been drawn into the debate on causation-selection issues. This study aims to construct a path model with self-rated health and depression score of older adults as health outcomes to measure and compare the social causation forces of wealth accumulation, social selection forces of adulthood health, and economic selection forces of childhood economics, and to examine their gender disparities.

METHODS: Data was obtained from a sample of 19613 older adults aged 45 years or above from the 2014 life history survey and the 2015 routine follow-up survey of the China Health and Retirement Longitudinal Study. Structural equation modeling analysis was conducted employing the full information maximum likelihood estimation method.

RESULTS: The presence of social causation, social selection, and economic selection were all statistically supported. In self-rated health, social selection forces held the dominant position, while social causation forces were comparable to economic selection forces. In depression score, social selection still exhibited stronger forces than economic selection, but social causation had forces close to social selection and greater than economic selection. The forces of the three hypotheses in self-rated health did not significantly change with gender, but social causation exerted mightier forces than economic selection within the male group, unlike the female group. The forces of economic selection in depression score were greater in females than males and no significant differences were observed among the forces of the three hypotheses in the female group.

CONCLUSIONS: Social causation, social selection, and economic selection operate simultaneously on the self-rated health and depression score of older adults. However, the force magnitudes of the three hypotheses and/or their rankings differ by health outcomes and gender.

PMID:37720820 | PMC:PMC10500472 | DOI:10.1016/j.ssmph.2023.101508

Acta Ortop Bras. 2023 Sep 8;31(spe3):e268124. doi: 10.1590/1413-785220233103e268124. eCollection 2023.

ABSTRACT

INTRODUCTION: Tibial shaft fracture is the most common long-bone fracture, and the standard treatment is intramedullary (IM) nail fixation. Regardless of the development of this technique pseudoarthrosis remains prevalent.

OBJECTIVES: Evaluate the correlation between wedge fragment size and displacement, displacement of the main fragments of the 42B2 type, and pseudoarthrosis incidence.

METHODS: We retrospectively assessed all patients with 42B2 type fracture treated with IM nailing between January, 2015 and December, 2019. Six radiographic parameters were defined for preoperative radiographs in the anteroposterior (AP) and lateral views. Another six parameters were defined for postoperative radiographs at three, six, and 12 months. The Radiographic Union Score for Tibial Fractures score was used to assess bone healing.

RESULTS: Of 355 patients with tibial shaft fractures, 51 were included in the study. There were 41 (82.0%) male patients, with a mean age of 36.7 years, 37 (72.5%) had open fractures, and 28 (54.9%) had associated injuries. After statistical analysis, the factors that correlated significantly with nonunion were wedge height > 18 mm, preoperative translational displacement of the fracture in the AP view > 18 mm, and final distance of the wedge in relation to its original anatomical position after IM nailing > 5 mm.

CONCLUSION: Risk factors for nonunion related to the wedge and42B2 fracture are wedge height > 18 mm, initial translation in the AP view of the fracture > 18 mm, and distance > 5 mm of the wedge from its anatomical position after IM nailing. Evidence level III; Retrospective comparative study .

PMID:37720813 | PMC:PMC10502966 | DOI:10.1590/1413-785220233103e268124

J Obes Metab Syndr. 2023 Sep 18. doi: 10.7570/jomes22032. Online ahead of print.

ABSTRACT

BACKGROUND: Sleep plays a complex role in metabolic regulation, and the underlying linkage has not been clearly defined. We investigated the association between sleep duration and metabolic disorders in Filipino immigrants to Korea.

METHODS: We analyzed 410 participants from the 2014 to 2016 baseline population of the Filipino Women’s Diet and Health Study. Usual sleep duration was self-reported, and anthropometric parameters were measured directly. Blood glucose, lipid, and insulin levels were examined from fasting serum samples. We used general linear models to acquire least squares (LS) means and logistic regression models to calculate odds ratios to test the cross-sectional association between sleep duration and metabolic markers with 95% confidence intervals (CIs).

RESULTS: We found a statistically significant linear association between increased sleep duration and elevated triglycerides, total cholesterol, and low-density lipoprotein cholesterol (LDL-C). LS means (95% CI) of <5, 5-6, 7-8, and>8 hours of sleep were 81.74 (71.43 to 93.54), 85.15 (76.65 to 94.59), 86.33 (77.84 to 95.75), and 105.22 (88.07 to 125.71), respectively, for triglycerides (P trend=0.049) and 174.52 (165.02 to 184.57), 180.50 (172.79 to 188.55), 182.51 (174.83 to 190.53), and 190.16 (176.61 to 204.74), respectively, for total cholesterol (P trend=0.042). For LDL-C, the LS means (95% CI) were 97.34 (88.80 to 106.71), 100.69 (93.73 to 108.18), 104.47 (97.35 to 112.1), and 109.43 (96.94 to 123.54), respectively (P trend=0.047). Statistical significance persisted after additional adjustment for body mass index. The association with triglycerides was limited to current alcohol drinkers (P interaction=0.048).

CONCLUSION: Longer sleep duration was associated with increased triglyceride, total cholesterol, and LDL-C levels. The association with triglycerides was more pronounced among moderate alcohol drinkers.

PMID:37718118 | DOI:10.7570/jomes22032

J Safety Res. 2023 Sep;86:52-61. doi: 10.1016/j.jsr.2023.06.007. Epub 2023 Jun 16.

ABSTRACT

INTRODUCTION: A framework of collaboration between safety professionals and design engineers was proposed that provided direction for utilizing analysis of quantitative and qualitative data to prevent worker injury. This interdisciplinary, context-steeped approach can be utilized across a variety of industries to promote risk reduction by designing equipment and processes to prevent common workplace injuries in the first place. Safety professional expertise in regional worker’s compensation claims analysis (including statistical analysis on a quantitative basis and qualitative analysis of trends in written injury descriptions of circumstance) provided the starting point for identifying industries of interest for this approach.

METHOD: Followed by education of design engineers on safety approaches (including hazard identification, the ANSI/ASSP Z590.3 consensus-based standard), tools such as risk assessment matrices and methods for effective on-site work observation and interviews with workers affords transfer of knowledge. Design engineers then utilize safety influenced design problem identification and goal criteria to create and select concepts for eventual detail design and prototype testing on-site. This approach was implemented in a case-study at a Midwest greenhouse industry facility site in summer of 2019. Two problem areas were identified and addressed with two unique engineering designs that were prototyped and utilized at the facility with success.

PRACTICAL APPLICATION: This approach can apply to other industries and collaborative teams in the future to prevent worker injury by design.

PMID:37718070 | DOI:10.1016/j.jsr.2023.06.007

J Safety Res. 2023 Sep;86:364-375. doi: 10.1016/j.jsr.2023.07.015. Epub 2023 Aug 4.

ABSTRACT

INTRODUCTION: The aim of this paper is to understand the causes of occupational accidents in Spain’s mining sector in order to propose action plans and improve future accident rates.

METHOD: This research analyzed a pool of data on 15,032 accidents occurring in the mining sector and reported to authorities between 2013 and 2018. Accidents are divided into three levels of severity: light, serious, and fatal. We study the influence of 12 variables on the accident severity rate in our sample.

RESULTS: The results show that accident severity is related to age, gender, nationality, length of service, economic activity, company size, accident location, days of injury leave, day of the week, deviation, injury, and specific Spanish region. This sector produces a high rate of serious accidents compared to all other sectors; has a male-dominated, older and experienced workforce; and employs mainly Spanish workers. Its activity is concentrated in larger companies and the work involves the use of heavy machinery and dangerous materials. We offer conclusions and future lines of research to help regulators, companies and workers to improve worker safety.

PMID:37718064 | DOI:10.1016/j.jsr.2023.07.015

J Safety Res. 2023 Sep;86:318-335. doi: 10.1016/j.jsr.2023.07.010. Epub 2023 Jul 26.

ABSTRACT

INTRODUCTION: In recent years, with the rapid development of university laboratory construction, frequent laboratory accidents have aroused widespread concern. There is an urgent need to improve laboratory safety management’s effectiveness further, enhance laboratory accident prevention ability, and reduce the occurrence of accidents.

METHOD: Based on the accident causation theory, this paper uses the accident analysis path of 24Model and the logical idea of WBA (Why-Because-Analysis) to statistically analyze the causative factors of 64 typical college laboratory fire and explosion accidents and find out the defects of current college laboratory management.

RESULTS: The study showed that unsafe human actions at the individual level were the most critical factors affecting laboratory safety management, with a high frequency of violations of experimental procedures (105 times) and managers’ failure to perform their supervisory duties (98 times); low safety awareness and insufficient safety knowledge among laboratory personnel were key factors triggering unsafe actions. At the organizational level, the lack of training programs (92 times) and the lack of systematic procedures (106 times) are the weaknesses of the laboratory safety management system in general in all universities; the lack of safety culture construction is the root cause of laboratory management deficiencies.

CONCLUSIONS: Based on the above statistical results, and taking into account the characteristics of university laboratories themselves, the root causes of poor safety are specifically analyzed and preventive measures are proposed in six areas to address the key causes of accidents.

PRACTICAL APPLICATIONS: The results of this study are essential for improving the ability to prevent accidents in flammable and explosive laboratories in universities.

PMID:37718060 | DOI:10.1016/j.jsr.2023.07.010

J Safety Res. 2023 Sep;86:253-261. doi: 10.1016/j.jsr.2023.07.004. Epub 2023 Jul 26.

ABSTRACT

INTRODUCTION: Nighttime crashes account for 74% of pedestrian fatalities in the United States, and reduced visibility is a significant cause of nighttime pedestrian crashes. Maintaining sufficient and uniform roadway lighting is an effective countermeasure to improve pedestrian visibility and prevent nighttime pedestrian crashes and injuries. Previous studies have not quantified the safety effects of roadway photometric patterns (i.e., average lighting level and uniformity) on nighttime pedestrian crashes on roadway segments.

METHOD: This study investigated the association between two roadway photometric criteria (horizontal illuminance mean representing average lighting level and horizontal illuminance standard deviation representing lighting uniformity) and nighttime pedestrian crash occurrence in Florida roadway segments. The matched case-control method was used to decouple the confounding effects between the illuminance mean and standard deviation. Statistically-significant crash modification factors (CMFs) were developed to quantify the safety effects of the mean and standard deviation of horizontal illuminance on nighttime pedestrian crashes.

RESULTS: The results show that if the average lighting level on a roadway segment is increased from a low illuminance mean (<0.2 foot-candle [fc]) to a medium illuminance mean [0.2 fc, 0.5 fc], a medium-high illuminance mean (0.5 fc, 1.0 fc], and a high illuminance mean (>1.0 fc), the relative likelihood of nighttime pedestrian crashes on midblock segments in Florida tends to be reduced by 77.5% (CMF = 0.225), 81.2% (CMF = 0.188), and 85.5% (CMF = 0.145), respectively.

PRACTICAL APPLICATIONS: A poor uniformity (illuminance standard deviation ≥ 0.52 fc) is likely to increase the relative likelihood of nighttime pedestrian crashes on midblock segments in Florida by 80.3% (CMF = 1.803) compared to good uniformity (illuminance standard deviation < 0.52 fc).

PMID:37718053 | DOI:10.1016/j.jsr.2023.07.004

J Safety Res. 2023 Sep;86:245-252. doi: 10.1016/j.jsr.2023.07.003. Epub 2023 Jul 31.

ABSTRACT

BACKGROUND: Differences in social and environmental factors can contribute to disparities in fatal injury rates. The purpose of this study was to examine the relationship between social and environmental factors and unintentional fatal injury across counties in the United States and how this relationship varies by geography.

METHODS: County-level vital statistics on age-adjusted unintentional fatal injury rates for 2015-2019 were linked with county-level data from the 2018 Social Vulnerability Index (SVI), a dataset identifying socially vulnerable communities. We conducted linear regression to examine the association between SVI and unintentional fatal injury, overall and by Census region/division. We mapped county-level data for SVI and unintentional fatal injury rates in bivariate choropleth maps using quartiles.

RESULTS: SVI was positively associated with unintentional fatal injury (β = 18.29, p < 0.001) across U.S. counties. The geographic distribution of SVI and unintentional fatal injury rates varied spatially and substantially for U.S. counties, with counties in the South and West regions having the greatest levels of SVI and rates of unintentional fatal injury.

CONCLUSIONS: Our findings demonstrate that the social vulnerability of counties is associated with unintentional fatal injury rates. Modification of the SVI for injury research could include additional social determinants and exclude variables not applicable to injuries. A modified SVI could inform unintentional injury prevention strategies by prioritizing efforts in areas with high levels of social vulnerability.

PRACTICAL APPLICATIONS: This study is the first step in combining the SVI and injury mortality data to provide researchers with an index to investigate upstream factors related to injury.

PMID:37718052 | DOI:10.1016/j.jsr.2023.07.003

J Safety Res. 2023 Sep;86:21-29. doi: 10.1016/j.jsr.2023.06.004. Epub 2023 Jun 14.

ABSTRACT

PROBLEM: Fatal injuries in the agriculture, forestry, and fishing sector (AgFF) outweigh those across all sectors in the United States. Transportation-related injuries are among the top contributors to these fatal events. However, traditional occupational injury surveillance systems may not completely capture crashes involving farm vehicles and logging trucks, specifically nonfatal events.

METHODS: The study aimed to develop an integrated database of AgFF-related motor-vehicle crashes for the southwest (Arkansas, Louisiana, New Mexico, Oklahoma, and Texas) and to use these data to conduct surveillance and research. Lessons learned during the pursuit of these aims were cataloged. Activities centered around the conduct of traditional statistical and geospatial analyses of structured data fields and natural language processing of free-text crash narratives.

RESULTS: The structured crash data in each state include fields that allowed farm vehicles or equipment and logging trucks to be identified. The variable definitions and coding were not consistent across states but could be harmonized. All states recorded data fields pertaining to person, vehicle, and crash/environmental factors. Structured data supported the construction of crash severity models and geospatial analyses. Law enforcement provided additional details on crash causation in free-text narratives. Crash narratives contained sufficient text to support viable machine learning models for farm vehicle or equipment crashes, but not for logging truck narratives.

DISCUSSION: Crash records can help to fill research and surveillance gaps in AgFF in the southwest region. This supports traffic safety’s evolution to the current Safe System paradigm. There is a conceptual linkage between the Safe System and Total Worker Health approaches, providing a bridge between traffic safety and occupational health.

PRACTICAL APPLICATIONS: Despite limitations, crash records can be an important component of injury surveillance for events involving AgFF vehicles. They also can be used to inform the selection and evaluation of traffic countermeasures and behavioral interventions.

PMID:37718049 | DOI:10.1016/j.jsr.2023.06.004