Arterial hypertension in rotating shift workers: The role of hypertriglyceridemic waist and hypertriglyceridemic waist-to-height ratio phenotypes.

OBJECTIVE: To examine the association of arterial hypertension and the hypertriglyceridemic waist phenotype (HWP) and hypertriglyceridemic waist-to-height phenotype (HWHP). METHODOLOGY: This cross-sectional study was conducted with 1422 male rotating shift workers in Brazil. The HWP was defined as having a waist circumference ≥94 cm and serum triglycerides ≥150 mg/dL, whereas the HWHP was determined by having a waist-to-height ratio ≥0.5 and serum triglycerides ≥150 mg/dL. To provide a characterization of the sample, data were presented in both absolute and relative values, and Pearson's chi-square test was employed. To investigate the potential association between arterial hypertension and the presence of HWP or HWHP, multivariate logistic regression was conducted, accounting for sociodemographic, behavioral, and clinical variables. Furthermore, we conducted a stratified multivariate logistic regression analysis, considering the duration of shift work, to assess whether the results remained consistent depending on the length of work experience in shifts. RESULTS: A noteworthy association was observed between arterial hypertension and both HWP and HWHP, with HWHP exhibiting a stronger association with the disease. Furthermore, a positive association between arterial hypertension and these phenotypes was identified in workers with five or more years of shift work. CONCLUSION: We recommend the utilization of HWHP as a screening tool, as it indicates a stronger association with arterial hypertension compared to HWP. Additionally, the duration of time spent working in shifts emerged as a significant factor influencing the presence of these phenotypes.

The predictive values of BOAH and No-apnea score for screening obstructive sleep apnea in rotating shift worker drivers.

Objective: To evaluate the BOAH (Body mass index, Observed apnea, Age, and Hypertension) and No-apnea score's diagnostic values for detecting obstructive sleep apnea (OSA) risk in shift workers. Methods: Cross-sectional study with male rotating shift workers and drivers of heavy off-road machinery. The BOAH score is based on body mass index, witnessed apneas during sleep, age, and hypertension. The No-apnea score is based on neck circumference and age. Based on the apnea-hypopnea index (AHI), the severity of OSA was categorized as least mild OSA (AHI ≥5/h), moderate to severe OSA (AHI ≥15/h), and severe OSA (AHI ≥30/h). Sensitivity, specificity, positive predictive value, negative predictive value, and areas under the curve (AUC) were calculated. Results: Among 119 workers evaluated, 84.0% had AHI ≥5, 46.2% had AHI ≥15, and 14.3% had AHI ≥30. BOAH score with 2 points for AHI ≥5, the AUC was 0.679, and sensitivity and specificity were 41.0% and 94.7%, respectively. No-apnea score with 3 points AHI ≥5, the AUC was 0.692, and sensitivity and specificity were 70.0% and 68.4%, respectively. Furthermore, using at least one of the positive scores, the AUC was higher when compared to the single tests for AHI ≥5 (AUC = 0.727). And when both scores were positive, the AUC was higher for AHI ≥30 (AUC = 0.706). Conclusion: In rotating shift workers and drivers of heavy off-road machinery, BOAH, and No-apnea scores can be helpful tools in identifying individuals at risk for sleep apnea. In addition, matching the scores may increase the prediction of OSA.

Vitamin D deficiency and hyperglycemia in male rotating shift workers: A disturbed circadian rhythms influence.

BACKGROUND: Shift work is related to several negative impacts on the health of workers. This study aimed to evaluate the association between vitamin D deficiency (VDD) and hyperglycemia in shift workers. METHODOLOGY: This cross-sectional study included male rotating shift workers in an iron ore extraction company. Participants were classified as VDD when 25(OH)D < 20 ng/mL for a healthy population and 25(OH)D < 30 ng/mL for groups at risk for VDD. Hyperglycemia was classified when fasting glucose ≥100 mg/dL or HbA1c ≥ 5.7%. Data were compared using chi-square analysis with Cramer's V as effect size, and Bonferroni correction. Multivariate logistic regression, from a model of determination, was performed to investigate whether VDD was associated with hyperglycemia. RESULTS: The study evaluated 1411 workers, most workers were aged 30-39 years (53.2%), and 77.5% self-declared as black, brown, with up to complete high school (71.4%) and working alternate shifts for more than 5 years (76.1%). Regarding glucose and vitamin D, 32.0% and 29.1% of the workers had hyperglycemia and VDD, respectively. In multivariate analysis, controlled for confounding factors, workers with VDD had a 119% increased chance of hyperglycemia (OR: 2.19; IC95%: 1.56-3.08). Furthermore, vitamin D levels in distribution quintiles showed a dose-response gradient in relation to hyperglycemia, where increased vitamin D values were associated with a reduction in the occurrence of hyperglycemia. CONCLUSION: Rotating shift workers with vitamin D deficiency are more likely to have hyperglycemia.

Association of Hypovitaminosis D with Sleep Parameters in Rotating Shift Worker Drivers.

Objective To evaluate the association between sleep parameters and hypovitaminosis D in rotating shift drivers. Material and Methods We conducted a cross-sectional study on 82 male rotating shift workers (24-57 years old) with at least one cardiovascular risk factor (such as hyperglycemia, dyslipidemia, abdominal obesity, physical inactivity, hypertension, and smoking). Polysomnography was used to evaluate sleep parameters. Logistic regression was used to model the association between hypovitaminosis D and sleep parameters after adjustment for relevant covariates. Results Hypovitaminosis D (< 20 ng/mL) was seen in 30.5% of the workers. Shift workers with hypovitaminosis D had lower sleep efficiency (odds ratio [OR]: 3.68; 95% confidence interval [CI]: 1.95-5.53), lower arterial oxygen saturation (OR: 5.35; 95% CI: 3.37-6.12), and increased microarousal index (OR: 3.85; 95% CI: 1.26-5.63) after adjusting. Conclusion We suggest that hypovitaminosis D is associated with greater sleep disturbances in rotating shift workers.

Logistics Workers Are a Key Factor for SARS-CoV-2 Spread in Brazilian Small Towns: Case-Control Study.

BACKGROUND: Data on how SARS-CoV-2 enters and spreads in a population are essential for guiding public policies. OBJECTIVE: This study seeks to understand the transmission dynamics of SARS-CoV-2 in small Brazilian towns during the early phase of the epidemic and to identify core groups that can serve as the initial source of infection as well as factors associated with a higher risk of COVID-19. METHODS: Two population-based seroprevalence studies, one household survey, and a case-control study were conducted in two small towns in southeastern Brazil between May and June 2020. In the population-based studies, 400 people were evaluated in each town; there were 40 homes in the household survey, and 95 cases and 393 controls in the case-control study. SARS-CoV-2 serology testing was performed on participants, and a questionnaire was applied. Prevalence, household secondary infection rate, and factors associated with infection were assessed. Odds ratios (ORs) were calculated by logistic regression. Logistics worker was defined as an individual with an occupation focused on the transportation of people or goods and whose job involves traveling outside the town of residence at least once a week. RESULTS: Higher seroprevalence of SARS-CoV-2 was observed in the town with a greater proportion of logistics workers. The secondary household infection rate was 49.1% (55/112), and it was observed that in most households (28/40, 70%) the index case was a logistics worker. The case-control study revealed that being a logistics worker (OR 18.0, 95% CI 8.4-38.7) or living with one (OR 6.9, 95% CI 3.3-14.5) increases the risk of infection. In addition, having close contact with a confirmed case (OR 13.4, 95% CI 6.6-27.3) and living with more than four people (OR 2.7, 95% CI 1.1-7.1) were also risk factors. CONCLUSIONS: Our study shows a strong association between logistics workers and the risk of SARS-CoV-2 infection and highlights the key role of these workers in the viral spread in small towns. These findings indicate the need to focus on this population to determine COVID-19 prevention and control strategies, including vaccination and sentinel genomic surveillance.

Ability of body mass index to predict abnormal waist circumference: receiving operating characteristics analysis.

BACKGROUND: Body mass index (BMI) and waist circumference (WC) are the most used anthropometric measures to identify obesity. While BMI is considered to be a simple and accurate estimate of general adiposity, WC is an alternative surrogate measure of visceral obesity. However, WC is subject to significant inter-examiner variation. The aim of the present study was to correlate BMI and WC measures in a group of Brazilian adults to determine the most accurate BMI values for predicting abnormal WC. METHODS: BMI and WC were measured in 1184 volunteers (45.6 ± 17.3 yrs; 69% female) using standard procedures. Abnormal WC was defined as ≥88 cm in women and ≥102 cm in men using the traditional criteria, and ≥80 cm in women and ≥90 cm in men using the new criteria. Statistical analysis involved the calculation of Pearson's correlation coefficients and receiver operating characteristic (ROC) curves. RESULTS: BMI was strongly correlated with WC (women: r = 0.87, p < 0.0001, area under ROC curve = 0.93 ± 0.1; men: r = 0.89, p < 0.0001, area under ROC curve = 0.94 ± 0.01). The most accurate BMI cutoff point for abnormal WC was 27.1 kg/m2 for men and 26.8 kg/m2 for women using the traditional WC criteria, and 24.7 kg/m2 for men and 24.9 kg/m2 for women using the new WC criteria. CONCLUSION: Based on the strong correlation found with WC, BMI can be used as the primary anthropometric measure to estimate adiposity, since both obese and most overweight subjects will have abnormal WC.

A comparative study of methods for diagnosis of obesity in an urban mixed-race population in Minas Gerais, Brazil.

BACKGROUND: Obesity is defined as an excess of total body fat and may be assessed by different methods. The objective of the present study was to establish the discriminatory power of anthropometric data in determining obesity. METHODS: The subjects comprised 685 individuals, aged 20-79 years, sampled from a population-based survey. The following indicators were used: body mass index (BMI), waist circumference (WC) and total body fat percentage estimated with both Siri's equation (%BF Siri) and foot-to-foot bioelectrical impedance analysis (%BF BIA). Sensitivity and specificity of different cut-off points for each method were determined using %BF BIA as reference. RESULTS: Of 685 participants, 57.6% were aged >/= 40 years, 69.9% were women and 72.6% self-referred themselves as non-white. To classify obesity based on sex and age among women aged 0.05). Classifying according to skin colour did not change cut-off points in any indicator. CONCLUSION: BMI and WC better discriminate obesity among women and men aged >/= 40 years from a mixed-race population.