Frequency of metabolic syndrome and its associated factors in health care workers

Diagnosis of metabolic syndrome in nursing professionals: An accuracy study

Metabolic Syndrome (MetS) represents a group of cardiovascular risk factors. This article aims to evaluate the accuracy of the tools of MetS diagnosis in Nursing professionals from Primary Health Care (PHC) in Bahia, Brazil. A cross-sectional study with a random sample selected according to essential health information for the diagnostic of MetS. For MetS diagnostic, we used EGIR, NCEP-ATPIII, AACE, IDF, Barbosa et al. (2006), and IDF/AHA/NHLBI (defined as gold standard) definition. Sensitivity, specificity, predictive values, and likelihood ratio were estimated for each diagnostic tool and compared with the gold standard. Kappa statistic was used to determine the agreement between the diagnostic methods. One thousand one hundred and eleven nursing professionals were included in this study. Sensitivity varied from 15% to 95.1%, and specificity varied between 99.5% and 100%. IDF and Barbosa et al. (2006) definitions were more sensitive (95.1% and 92.8%, respectively), and EGIR, NCEP, ATP III, and IDF showed 100% specificity. IDF and Barbosa et al. (2006) use suitable metabolic syndrome identification and confirmation criteria. The highest agreement was found in the definition of the IDF, Barbosa et al. (2006) and the NCEP ATP III. Defining metabolic syndrome with a higher diagnostic accuracy could contribute to the screening and the early identification of nursing professionals with cardiovascular disease risk factors, which provide opportunities for appropriate prevention and treatment.

Disparities in the prevalence of metabolic syndrome between Iranian industrial workers and university staff

Background

Is there a difference in the prevalence of metabolic syndrome between employee service jobs and industrial jobs in Iran? In this study, we tried to answer this question. For this purpose, we compared the two populations of employees and workers. We compared the staff of the University of Medical Sciences as a service employees population (clinical and office work) to the industrial workers of a large automotive company (often with industrial occupations).

Method

In this cross-sectional study conducted in Tehran in 2020, the prevalence of metabolic syndrome among 4,372 people employed by the university and 3,899 automotive industry employees was examined and compared. The prevalence of metabolic syndrome was assessed based on two criteria, National Cholesterol Education Program Adult Treatment Panel III (ATP III) and International Diabetes Federation (IDF).

Results

The results showed that the prevalence of metabolic syndrome among university staff was higher than the automotive industrial workers. According to ATP III criteria, the former and latter showed the prevalence of metabolic syndrome of 13.1% among and 6.1%, respectively among. Also, based on IDF criteria, the prevalence of metabolic syndrome was 23.3% and 12.6% in two groups mentioned.

Conclusion

Based on the findings of this study, the prevalence of metabolic syndrome in university staff was almost double that in industry workers. At first glance, the physical activity of most automotive, industrial workers seems to be the main reason for this difference; however, a prevalence of about twice implies further factors. According to the authors, the legal implementation of monitoring, promotion, and surveillance programs of occupational health, in industrial environments can be a factor accounting for a significant difference in the prevalence of metabolic syndrome between the two populations observed. The authors suggest implementing similar programs for Iranian public sector employees to enhance their health status.

Sex differences in risk factors for metabolic syndrome in middle-aged and senior hospital employees: a population-based cohort study

BACKGROUND

Several cross-sectional studies have reported risk factors for metabolic syndrome (MetS). However, these studies did not focus on sex differences in middle-aged and senior populations or employ a longitudinal design. These study design differences are important, as there are sex differences in lifestyle habits associated with MetS, and middle-aged and senior individuals have increased MetS susceptibility. Therefore, the purpose of this study was to examine whether sex differences influenced MetS risk over a ten-year follow-up period among middle-aged and senior hospital employees.

METHODS

This population-based and prospective cohort study enrolled 565 participants who did not have MetS in 2012 for a ten-year repeated-measurement analysis. Data were retrieved from the hospital's Health Management Information System. Analyses included Student's t tests, χ² tests and Cox regression. P < 0.05 indicated statistical significance.

RESULTS

Male middle-aged and senior hospital employees had an elevated MetS risk (hazard ratio (HR) = 1.936, p < 0.001). Men with more than four family history risk factors had an increased risk of MetS (HR = 1.969, p = 0.010). Women who worked shift duty (HR = 1.326, p = 0.020), had more than two chronic diseases (HR = 1.513, p = 0.012), had three family history risk factors (HR = 1.623, p = 0.010), or chewed betel nuts (HR = 9.710, p = 0.002) had an increased risk of MetS.

CONCLUSIONS

The longitudinal design of our study improves the understanding of sex differences in MetS risk factors in middle-aged and senior adults. A significantly elevated risk of MetS over the ten-year follow-up period was associated with male sex, shift work, the number of chronic diseases, the number of family history risk factors, and betel nut chewing. Women who chewed betel nuts had an especially increased risk of MetS. Our study indicates that population-specific studies are important for the identification of subgroups susceptible to MetS and for the implementation of hospital-based strategies.

Prevalence of Prediabetes and Related Modifiable Cardiovascular Risk Factors Among Employees of Ayder Comprehensive Specialized Hospital, Tigray, Northern Ethiopia

BACKGROUND

Prediabetes is considered an important risk factor for type 2 diabetes and related cardiovascular problems. However, evidence shows that both prediabetes and its associated cardiovascular risk factors could be mitigated through lifestyle modification. This study aims at determining the magnitude of prediabetes and related modifiable cardiovascular risk factors as an initial step towards undertaking such mitigation measures.

METHODS

A cross-sectional study was conducted on employees of a tertiary care hospital from March to June/2019. Socio-demographic data were collected using a self-administered questionnaire. Anthropometric and blood pressure measurements were performed following WHO guidelines. Biochemical parameters were assayed following standard operating procedures. Categorical variables are summarized using frequencies and percentages. Normality test was performed ahead of describing the numeric data and log transformations were carried out when appropriate. International Diabetes Federation (IDF) and American Diabetes Association (ADA) criteria were used to classify glycemic status. Likewise, IDF and revised National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) were employed for the diagnosis of metabolic syndrome.

RESULTS

In this study, we engaged a total of 265 employees. About 35.1% were males and 64.9% were females. The median age was 29 (9) years. About 5.7% and 18.1% had prediabetes based on IDF and ADA criteria, respectively. Equally, 3.4% had FBS levels that meet the criteria for overt diabetes on IDF and ADA. Besides, 55.1% had a metabolic risk as implied by the elevated waist-to-height ratio (WhtR), 24.2% had hypertriglyceridemia, 27.9% had above optimal LDL and 57% had low HDL. Overall, 17.9% and 21.9% of the participants had metabolic syndrome according to IDF and revised NCEP ATP III criteria, respectively.

CONCLUSION

The prevalence of prediabetes and metabolic syndrome observed in hospital employees is comparable with the general population.

Shift work and the risk for metabolic syndrome among healthcare workers: A systematic review and meta-analysis

Shift work, defined as work occurring outside typical daytime working hours, is associated with an increased risk for metabolic syndrome (MetS) due to several biological and environmental changes. The MetS refers to the clustering of several known cardiovascular risk factors, including insulin resistance, obesity, dyslipidemia, and hypertension. This systematic review aims to evaluate the literature on the association between shift work and the risk of MetS in employees of the health sector. A systematic search was conducted in PubMed, Web of Science, and Scopus databases using appropriate keywords for studies published before September 1, 2021. Eligible studies were those that compared the prevalence of MetS between day and shift healthcare workers; had a cross-sectional, case-control, or cohort study design; provided sufficient data for calculating odds ratios or relative risks with 95% confidence intervals; and articles in English. The Joanna Briggs Institute prevalence critical appraisal tool was used for quality analysis. Risk for MetS and related measures of effect size were retrieved from studies for meta-analysis. Twelve studies met the criteria for inclusion in the review and meta-analysis. Sample sizes ranged from 42 to 738, and the age range of subjects was between 18 and 65 years. Ten studies demonstrated high methodological quality, while two studies were of average quality. Ten out of 12 studies in the review demonstrated a higher risk in shift workers for developing MetS than day workers. The pooled OR of MetS in shift workers based on 12 studies was 2.17 (95% CI = 1.31-3.60, P = 0.003; I²  = 82%, P < 0.001). Shift workers exhibited more than a twofold increase in the chance of developing MetS in comparison with day workers.

Metabolic and Obesity Phenotype Trajectories in Taiwanese Medical Personnel

The distribution of metabolic and obesity phenotypes in Taiwanese medical personnel is unknown. In this study, trajectory analysis with repeated measurements was used to explore the development and associated risk factors of different metabolic and obesity phenotypes in hospital staff from a Taiwanese medical center. The results demonstrated that metabolically unhealthy workers presented with a higher body mass index (BMI) compared with their metabolically healthy counterparts. Male and aged > 40 years hospital workers were more likely to be in a deleterious metabolic/obesity state. Meanwhile, profession and working hours were not significantly associated with the development of certain phenotypes in our study. These results shed light on the necessity of adequate data retrieval regarding working hours, and a nuanced examination of working conditions among different professions. Our findings are helpful for the development of advanced guidance regarding health promotion in hospital workers.

Machine learning-aided risk prediction for metabolic syndrome based on 3 years study

Metabolic syndrome (MetS) is a group of physiological states of metabolic disorders, which may increase the risk of diabetes, cardiovascular and other diseases. Therefore, it is of great significance to predict the onset of MetS and the corresponding risk factors. In this study, we investigate the risk prediction for MetS using a data set of 67,730 samples with physical examination records of three consecutive years provided by the Department of Health Management, Nanfang Hospital, Southern Medical University, P.R. China. Specifically, the prediction for MetS takes the numerical features of examination records as well as the differential features by using the examination records over the past two consecutive years, namely, the differential numerical feature (DNF) and the differential state feature (DSF), and the risk factors of the above features w.r.t different ages and genders are statistically analyzed. From numerical results, it is shown that the proposed DSF in addition to the numerical feature of examination records, significantly contributes to the risk prediction of MetS. Additionally, the proposed scheme, by using the proposed features, yields a superior performance to the state-of-the-art MetS prediction model, which provides the potential of effective prescreening the occurrence of MetS.

Unhealthy Lifestyle Predisposed Shiraz Healthcare Workers to Metabolic Diseases

Background

Poor health condition may increase the risk of occupational problems and reduces an organization's productivity. Also, there is a direct, bilateral relationship between occupation and health.

Objective

To evaluate the health status of health care workers (HCWs) in the largest tertiary general and teaching hospital in southern Iran.

Methods

This cross-sectional study (Sep2014-Dec2016) was conducted on HCWs, who were referred to Prevention and Health Promotion Clinic of Shiraz Namazee hospital. The participants' health status was assessed and after the risk assessments and necessary physical examinations, the laboratory and para clinic tests were requested. Using descriptive and analytical tests, all data were analyzed.

Results

Totally, 963 HCWs were enrolled, that 64.4% were women, with mean ± SD age of 35.51 ± 8.9 years. Eighty-eight percent and 77.4% of the participants had history of ergonomic and psychological exposures. Impaired glucose tolerance and abnormal serum cholesterol were seen in 13.6% and 29.9%, respectively. Body mass index was a predictive factor for abnormal blood pressure (OR: 1.12; 95%CI: 1.02-1.22), impaired glucose tolerance (OR: 1.08; 95%CI: 1.01-1.16), and abnormal serum cholesterol (OR: 1.17; 95%CI: 1.10-1.25), respectively. Male gender (OR: 1.83; 95%CI: 1.08-3.03) was a predictive factor for abnormal serum cholesterol.

Conclusions

The health status of HCWs is not good enough in Iran. They did not have an appropriate lifestyle. They were exposed to different occupational hazards. The prevalence of chronic diseases was notable. Overweight, obesity, and inactivity were the most important causes of metabolic diseases.

Are dentists more prone to metabolic syndrome and occupational stress?

OBJECTIVE

The aim of this study was to investigate the prevalence of metabolic syndrome (MS) among dentists in Riyadh, Saudi Arabia. The study also explored the causes of occupational stress among the participating dentists.

MATERIALS & METHODS

The participants included a conveniently selected sample of dentists (N = 126; Males = 65; Females = 61). The participants' anthropometric measurements/blood sample analysis were carried out and they completed a self-administered questionnaire. Data analysis included demographics, gender/age wise comparison using SPSS (p < 0.05). For the diagnosis of MS, updated criteria of the National Cholesterol Education Program was applied.

RESULTS

Participants diagnosed with MS were 13 (10.3%), Males = 11(8.7%) and Females = 2(1.5%). Physical activity of 6 (15.8%) with MS was only 0-2 hours/week. 9 (14.5%) participants with MS declared positive family history for MS. The average systolic (117.55±11.33) and diastolic blood pressure (71.9±9.34) of the participants was found to be normal with no gender wise statistical difference. No gender wise statistical differences (p > 0.05) were observed for cholesterol, triglycerides and HDL. However, significant difference (p = 0.00) was found for the fasting glucose level (Males = 5.69±1.49; Females = 4.94±0.42). Overall mean scoring (3.00±1.11) for the stress showed that the participants fall into the average/moderate level of stress category (Males = 3.16±1.02; Females = 2.83±1.08). Almost two third (68.26%) of the participant's responded that they were under some kind of stress.

CONCLUSIONS

MS was found to be less frequent among the dentists working in the city of Riyadh. Overall, the dentists were under moderate level of occupational stress, with male dentists being more prone to work related stress.

Serum Uric Acid Is Associated with Metabolic Syndrome and Insulin Resistance among Health Personnel from Peru

We explored the association between serum uric acid (SUA) and metabolic syndrome (MetS) and insulin resistance (IR) among health personnel from a public hospital in Peru in a cross-sectional study with data from the Plan for the Prevention and Surveillance of Communicable and Noncommunicable Diseases of Huaycán Hospital. MetS was defined according to Latin American Diabetes Association (ALAD) criteria and IR with surrogate IR markers, triglyceride-to-HDL-C ratio (TG/HDL-C), and triglyceride-to-glucose index (TyG). The association between SUA and MetS and IR was determined using Poisson regression models in a sample of 292 participants with an average age of 46.2 ± 10.6 years. The total prevalence of MetS was 38%, and the individuals with MetS presented mainly alterations in anthropometric parameters (obesity and body fat). Finally, the adjusted regression models showed that women with SUA in the highest tertile increased the prevalence of MetS (PR: 1.71, 95% CI: 1.07-2.74) compared to the lowest tertile of SUA in women, while SUA increased hypertriglyceridemia and IR (TG/HDL-C and TyG) in both sexes. We concluded that SUA is strongly associated with MetS in women, and SUA increases hypertriglyceridemia and IR in both sexes. On the contrary, more research is required regarding the female population.

Effects of diet versus diet plus aerobic and resistance exercise on metabolic syndrome in obese young men

Background

Diet and physical activity are the most commonly recommended strategies for preventing and treating metabolic syndrome (MetS). This randomized trial aims to examine the effectiveness of a weight reduction intervention based on caloric restriction, low-impact aerobics (LIA), and a resistance-training program in improving body composition, metabolic parameters and cardiovascular disease (CVD) risk factors among obese students diagnosed with MetS.

Methods

In all, 23 male participants, aged 19–24 years, were randomly introduced to a dieting program (the diet group, or DG = 09) or to dieting associated with a supervised physical training program (the diet plus training group, or DTG = 14). Before and after the intervention, the participants’ anthropometric measures and cardiovascular disease risk factors were assessed.

Results

Following the diet-based intervention, significant improvements were noted in BMI (p = 0.39), PBF (p = 0.022) and LDL-c (p = 0.024). However, in response to the diet plus aerobic and resistance exercise intervention, obese participants had significant reductions in body weight (p = 0.018), WC (p = 0.042), BMI (p = 0.001), BFP (p < 0.001), DBP (p = 0.013), SBP (p = 0.016), TG level (p = 0.026), TC (p = 0.016), LDL-c (p = 0.001) and VLDL-c (p = 0.026). Notable differences were also observed between groups in terms of changes in WC (p = 0.003), BFP (p = 0.05), WHR (p = 0.029), FBG level (p = 0.022), TG level (p = 0.001), TC (p = 0.006), LDL-c (p = 0.014) and VLDL-c (p < 0.001).

Conclusion

Diet-based intervention could be an effective tool in reducing body composition and some MetS components. However, adding three weekly aerobic and resistance-training sessions to the dieting program may deliver better outcomes, particularly in terms of reducing WC, BFP, WHR, FBG level, TG level, TC, LDL-c, and VLDL-c.

Shift work and metabolic syndrome: A multi-center cross-sectional study on females of reproductive age

Shift work during reproductive age can be a risk factor for metabolic syndrome. The present study evaluated the association between shift work and metabolic syndrome during reproductive age. This multi-center cross-sectional correlational study was performed between September 2017 and May 2018. A total of 419 female shift and day workers were purposively recruited to the study from three central cities in Mazandaran, Iran. To diagnose metabolic syndrome based on the National Cholesterol Education Program Adult Treatment Panel III guidelines, the anthropometric measures, blood pressure, and levels of serum triglyceride, high-density lipoprotein and fasting blood sugar were taken. Data were analyzed using the independent-sample t, Chi-square and the Fisher's exact tests as well as the logistic regression analysis. Among the 419 participants, 28 were excluded during the study. The total prevalence of metabolic syndrome was 16.3%, and its prevalence among shift workers and day workers was 17.3 and 14.9%, respectively. The most prevalent components of metabolic syndrome were low serum level of high-density lipoprotein and abdominal obesity. Following adjustments for the effects of potential cofounders, the logistic regression analysis revealed that the odds of metabolic syndrome among shift workers was ~2 times greater than day workers (odds ratio, 1.83; 95% confidence interval, 0.088-3.79), although this association was statistically insignificant (P=0.10). The results of the current study suggest that shift work is associated with a greater risk of metabolic syndrome for women. The most important components of metabolic syndrome are low serum level of high-density lipoprotein and abdominal obesity, which are attributable to limited physical activity and high occupational stress. The risk of metabolic syndrome among female shift workers of reproductive age may be reduced through strategies, including awareness raising, dietary educations and provision of physical activity facilities in the workplace.