Sedentary Occupation Workers Who Meet the Physical Activity Recommendations Have a Reduced Risk for Metabolic Syndrome: A Cross-Sectional Study

Leisure time exercise and depressive symptoms in sedentary workers: exploring the effects of exercise volume and social context

Background

Workers in sedentary occupations often engage in prolonged periods of low physical activity, which may be associated with depressive symptoms. Leisure-time exercise plays a significant role in alleviating these symptoms. Previous studies have shown that adults who engage in physical exercise report fewer depressive symptoms than those who do not. However, the relationship between exercise volume and mental health remains inconsistent. Leisure-time exercise can be categorized into individual and group exercise. Despite its potential importance, little is known about the differential effects of individual and group exercise on depressive symptoms in sedentary occupational populations. The objective of this study was to analyze the association between leisure-time exercise volume and depressive symptoms in sedentary workers, as well as to evaluate the disparities in the effects of individual and group exercise on depressive symptoms.

Methods

From September to October 2024, a cross-sectional survey was conducted to collect data from sedentary workers. The participants' sociodemographic characteristics, exercise patterns, exercise volume, and depressive symptoms were gathered. Chi-square tests and hierarchical logistic regression were employed to analyze the obtained data.

Results

Of the 1,277 respondents, 13.16% reported depressive symptoms. The prevalence of depressive symptoms was higher in those with low exercise volume than in those with medium or high exercise volume. Medium and high exercise volumes were associated with a lower risk of depressive symptoms, with odds ratios (OR) of 0.517 and 0.559, respectively. Group exercisers reported fewer depressive symptoms than individual exercisers, with an OR of 0.624.

Conclusion

The benefits of leisure-time exercise on depressive symptoms in sedentary workers do not always increase with higher exercise volume. Additionally, sedentary workers who participated in group exercise exhibited a lower risk of depressive symptoms than those who participated in individual exercise.

Metabolic Syndrome among Female School Teachers: A Sedentary Occupational Sector

Background

Dyslipidemia, insulin resistance, hypertension, and abdominal obesity are important determinants of metabolic syndrome (MetS). Ample studies provide statistical data on the prevalence of MetS among the general public. Conversely, there is a paucity of data on the risk of MetS among different sedentary occupational groups.

Objective

To assess the risk of MetS among female school teachers and to identify factors contributing to MetS.

Methodology

The study was conducted among 256 female school teachers residing in Chennai city. A questionnaire was used to elicit information on the socio-demographic profile, diet pattern, physical fitness, and genetic history of lifestyle diseases. Anthropometric, biochemical, and clinical parameters were measured using standard methods. MetS was diagnosed using the harmonizing definition. Data analysis was done using Statistical Package for Social Sciences software.

Results

Results evince that 39.45% of female school teachers were diagnosed with MetS, of which 26.56% had three components, 9.77% had four components, and 3.12% had all components of MetS. Abdominal obesity (99%) and low levels of high-density lipoprotein cholesterol (HDL-C) (96.04%) were the most predominant components. The least common component was diastolic hypertension (32.67%). MetS components were high among school teachers aged 36-45 years and 46-55 years. Age, fasting hyperglycemia, paternal history of hypertension, physical inactivity, eating out, and consumption of refined cereals significantly contributed to MetS (P < 0.05).

Conclusion

Results highlight the need to identify high-risk individuals and promote a healthy lifestyle through various intervention programs.

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.

Does Interrupting Prolonged Sitting With 10- or 20-Min Standing Attenuate Postprandial Glycemia and Blood Pressure in Middle-Aged and Older Adults With Type 2 Diabetes?

We carried out three types of 2-hr experimental sessions with middle-aged and older adults with Type 2 diabetes in order to examine the acute effect of interrupting prolonged sitting with varying periods of standing on postprandial glycemia and blood pressure (BP): (a) prolonged sitting after breakfast; (b) standing for 10 min, 30 min after breakfast; and (c) standing for 20 min, 30 min after breakfast. Glucose and BP were assessed before and after breakfast. A generalized linear model revealed no significant differences for the incremental area under the curve of glucose between standing for 10 min, 30 min after breakfast, versus prolonged sitting after breakfast (β = -4.5 mg/dl/2 hr, 95% CI [-17.3, 8.4]) and standing for 20 min, 30 min after breakfast, versus prolonged sitting after breakfast (β = 0.9 mg/dl/2 hr, 95% CI [-11.9, 13.7]). There was no difference in area under the curve of systolic and diastolic BP among the sessions. Interrupting prolonged sitting time with 10 or 20 min of standing 30 min after breakfast does not attenuate postprandial glycemia or BP in middle-aged and older adults with Type 2 diabetes.

The Effect of Domain-Specific Sitting Time and Exercise Habits on Metabolic Syndrome in Japanese Workers: A Cross-Sectional Study

The effects of domain-specific (i.e., occupational, leisure-time on workday, and holiday) sitting time (ST), and exercise on metabolic syndrome (MetS) development are insufficiently studied. The present study aimed to examine the single and combined effects of each domain-specific ST and exercise habits on MetS. The total and domain-specific STs of 5530 participants were collected using a validated questionnaire. The multiple logistic regression analyses determined the effects of each domain-specific ST and exercise habit on MetS. Of all participants, 7.8% had MetS. Odds ratios (ORs) for MetS were significant only in the group with the longest leisure-time ST on holidays (OR, 1.43; 95% confidence interval [CI], 1.12-1.83); we found no significant associations with any other domain-specific ST after statistical adjustment for confounders. The no-habitual-exercise group clearly had a higher risk for MetS (OR, 1.44; 95% CI, 1.15-1.80). The significantly higher ORs for MetS was shown in only the combined longer total ST (OR, 1.64; 95% CI, 1.12-2.39) and holiday ST (OR, 1.83; 95% CI, 1.30-2.59) with no habitual exercise. These findings suggested that accumulated daily total ST, particularly leisure-time ST on holidays with no-habitual exercise, can increase the risk of MetS and it could possibly be mitigated by habitual exercise.

Assessment of the relationship between metabolic syndrome and obstructive sleep apnea in male drivers of Shahroud city in 2018: a cross sectional study

BACKGROUND

Metabolic syndrome involves a set of metabolic risk factors that directly increases the risk of atherosclerotic cardiovascular disease. Physical inactivity due to driving can increase the risk of metabolic syndrome. It is also known that sleep disorders (sleep apnea) can result in MetS. Driving in Iran is considered a very popular but risky occupation, so paying attention to this profession is of special importance. Therefore, the researchers aimed to investigate the association between sleep disorders and metabolic syndrome in drivers in Shahroud city in 2018.

METHODS

This cross-sectional study was carried out on 948 drivers from Shahroud city in 2018. After obtaining consent from participants, 3 questionnaires including demographic, Epworth Sleepiness Scale and STOP-BANG were completed. Clinical and anthropometric measurements were assessed, including blood pressure, waist circumference, hip circumference, weight, height, and body mass index. In addition, blood was drawn to measure High Density Lipoprotein, Low Density Lipoprotein, Triglyceride, cholesterol, and Fasting Blood Sugar levels. The relationship between metabolic syndrome and sleep disorders was then studied. In this study, statistical analyses were performed using SPSS software version 23 at a significance level of 0.05.

RESULTS

Mean age of drivers was 44.15 ± 11.66 (years). The mean waist circumference and mean hip circumference in subjects with a Class 1 Driver's License (a certificate for trucks and buses) were higher than those with a Class 2 Driver's License (a certificate for motorcars, minibuses, vans, etc. (seating< 20)) (P = 0.01 and P = 0.003, respectively). Moreover, the BMI in subjects with a Class 1 Driver's License was higher compared to subjects with a Class 2 Driver's License. The correlation between metabolic syndrome with sleep apnea based on STOP-BANG questionnaire was significant (p < 0.001) irrespective of definition (ATP and IDF).

CONCLUSIONS

According to the results of this study, there was a bi-directional association between sleep disorders and Mets, so this group should pass periodic medical examinations and training courses. Moreover, their families should be informed of prevention and treatment of this syndrome.

Effect of Breaks in Prolonged Sitting or Low-Volume High-Intensity Interval Exercise on Markers of Metabolic Syndrome in Adults With Excess Body Fat: A Crossover Trial

BACKGROUND

This study analyzed the effect of walking breaks or low-volume high-intensity interval exercise (LV-HIIE) on markers of metabolic syndrome relative to a day of prolonged sitting.

METHODS

Twenty-five adults with excess body fat participated in this crossover trial: (1) 10-hour sitting day (SIT), (2) LV-HIIE followed by a sitting day (EX+SIT), and (3) sitting day with 5-minute walking breaks for every 20 minutes (SIT+WB). Glucose and blood pressure (BP) were measured before and 1 hour after 4 meals and 2 hours after lunch. Triglycerides were measured at baseline, 2, and 3.5 hours after lunch. Generalized mixed models were used to identify differences in the area under the curve (AUC) of BP and incremental AUC (iAUC) of glucose and triglycerides among the sessions.

RESULTS

iAUC-glucose was lower in SIT+WB than SIT (β = -35.3 mg/dL·10 h; 95% confidence interval, -52.5 to -8.2). AUC-diastolic BP was lower in SIT+WB than SIT (β = -14.1 mm Hg·10 h; 95% confidence interval, -26.5 to -1.6) and EX+SIT (β = -14.5 mm Hg·10 h; 95% confidence interval, -26.9 to -2.1). There were no differences in triglycerides and systolic BP levels among the sessions.

CONCLUSION

Adults with excess body fat present lower glucose and diastolic BP during a day with breaks in sitting time compared with a prolonged sitting day with or without an LV-HIIE session.

Association between socioeconomic status and prognosis after ischemic stroke in South China

Background: Previous studies have conflicting results on the association between socioeconomic status and stroke outcomes. Thus, this study aimed to investigate whether socioeconomic status is associated with the prognosis of ischemic stroke in Guangzhou, South China. Methods: A total of 622 patients with ischemic stroke who were admitted in the neurology department of five general hospitals in Guangzhou from May 2014 to October 2014 were included in the study. Socioeconomic status was measured based on education, income, caregiver, and insurance. The modified Rankin scale was used to evaluate the two years prognosis of patients with stroke. A multivariate logistic regression model was performed to determine the association between socioeconomic status and ischemic stroke prognosis. Results: In 2 years follow-up, 542 ischemic stroke patients were interviewed by telephone. Age ranged from 31 to 96 years, 65.5% of the patients were male. 33.9% of patients with ischemic stroke had a poor prognosis. After adjustment for age, sex, cardiovascular disease, behavior lifestyle, and severity of stroke, odds ratio for poor prognosis in patients with low income was 1.84 (95%CI 1.05-3.22), family caregiver 3.19 (95%CI 1.05-9.70), and no insurance 1.68 (95%CI 1.02-2.77). Conclusions: Patients with low income, family caregiver, and no insurance have a poorer prognosis after ischemic stroke that can be partly explained by intermediate variable in the patients' demographic characteristics, cardiovascular disease, behavior lifestyle, and stroke severity. Abbreviations: DALYs: disability-adjusted life years; SES: socioeconomic status; FMC: free medical care; MIUR: medical insurance for urban residents; MIUE: medical insurance for urban employees; NCMS: new rural cooperative medical scheme ; NIHSS: National Institute of Health Stroke Scale ; mRS: modified Rankin scale; OR: odds ratios; CI: confidence interval.

Effect of Work-Related Sedentary Time on Overall Health Profile in Active vs. Inactive Office Workers

Objective: While public health strategies are developed to fight sedentary behaviors and promote physical activity, some professional activities, and especially tertiary ones, have been pointed out for their highly sedentary nature. Although workplace physical activity programs are increasingly proposed by companies to their employees in order to increase their physical activity levels, sitting and screen time remain extremely high. The main aim of this work was to compare health indicators between active and inactive tertiary employees with similar high levels of sedentariness. Secondly, we questioned the effects of a 5-month workplace physical activity program on overall health indicators among initially active and inactive tertiary employees.

Methods: Anthropometric measurements, body composition (bio-impedance), physical fitness (cardiorespiratory and musculoskeletal fitness) and health-related quality of life and perception of health status (self-reported questionnaires) were assessed among 193 active and inactive tertiary employees before (T0) and after a 5-month workplace physical activity intervention (T1), composed of 2 physical sessions per week.

Results: Significant improvements were found in performance of push-ups (p < 0.001), back muscle strength (p < 0.001) fat mass (p < 0.01) and waist circumference (p < 0.05) in active compared with inactive employees both at baseline and at the end of the program. Health perception (p < 0.001) was significantly different between groups at T0 but not at T1. However, no significant difference was observed for fat-free mass, BMI, workplace well-being and lower and upper limbs muscle strength. The variations between T0 and T1 demonstrate that, while all the studied parameters progressed positively during the 5-month program, health perception (p < 0.001), back muscle strength (p < 0.05) and BMI (tendency) showed a significantly higher progression in the inactive compared with the active group.

Conclusion: Health indicators might not be improved among active tertiary employees compared with inactive ones, which might be due to the high level of sedentariness characterizing their occupational task.Structured on-site physical activity programs can improve health in both initially active and inactive employees.

Differences in Metabolic Syndrome Prevalence by Employment Type and Sex

Workers may sometimes do the same work, but differ in their risk of health-related problems depending on whether the employment type is standard or non-standard. Furthermore, even with similar job and employment types, there may be differences in risk factors for health-related problems depending on sex. This study aimed to determine the prevalence of metabolic syndrome (MetS) by employment type and sex using data from the Fifth Korean National Health and Nutrition Examination Survey (KNHANES Ⅴ) (2010–2012) and KNHANES Ⅵ (2013–2015) conducted by the Korea Centers for Disease Control and Prevention. Overall, 9523 adult wage workers (5523 standard workers and 4000 non-standard workers) aged ≥ 19 years were analyzed. To determine MetS prevalence odds ratios according to employment type, logistic regression analysis was performed disaggregated by sex. The prevalence of MetS significantly increased with age (p < 0.001), being married (p < 0.05), current smoking status (p < 0.05), and high-risk drinking (p < 0.001) among male subjects. The prevalence of MetS significantly increased among female manual workers (p < 0.001), those with lower educational level and household income (p < 0.001). Non-standard workers of either sex showed higher MetS prevalence than standard workers; only females showed significant difference (p < 0.001). Female non-standard workers showed 1.44, 1.33, and 1.34 (all p < 0.001) times higher odds of MetS prevalence in Models 1, 2, and 3, respectively, compared to standard workers, suggesting a difference in risk factors of MetS according to sex. Also, that employment type affects MetS prevalence suggests that employment pattern is an important risk factor especially in females. Therefore, to manage MetS in female non-standard workers, individual health care as well as social effort may be necessary.

Association between Metabolic Syndrome and Job Rank

Background:

The occupation of the people can influence the development of metabolic syndrome.

Objective:

To determine the association between metabolic syndrome and its determinants with the job rank in workers of a large car factory in Iran.

Methods:

3989 male workers at a large car manufacturing company were invited to participate in this cross-sectional study. Demographic and anthropometric data of the participants, including age, height, weight, and abdominal circumference were measured. Blood samples were taken to measure lipid profile and blood glucose level. Metabolic syndrome was diagnosed in each participant based on ATPIII 2001 criteria. The workers were categorized based on their job rank into 3 groups of (1) office workers, (2) workers with physical exertion, and (3) workers with chemical exposure. The study characteristics, particularly the frequency of metabolic syndrome and its determinants were compared among the study groups.

Results:

The prevalence of metabolic syndrome in our study was 7.7% (95% CI 6.9 to 8.5). HDL levels were significantly lower in those who had chemical exposure (p=0.045). Diastolic blood pressure was significantly higher in those who had mechanical exertion (p=0.026). The frequency of metabolic syndrome in the office workers, workers with physical exertion, and workers with chemical exposure was 7.3%, 7.9%, and 7.8%, respectively (p=0.836).

Conclusion:

Seemingly, there is no association between metabolic syndrome and job rank.