Occupation Is Related to Weight and Lifestyle Factors Among Employees at Worksites Involved in a Weight Gain Prevention Study

Gans, Kim M.; Salkeld, Judith; Risica, Patricia Markham; Lenz, Erin M.; Burton, Deborah; Mello, Jennifer; Bell, Johanna P.

doi:10.1097/jom.0000000000000543

Cited by 15 publications

(12 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Univariate analysis of our study shows that increased age, business/service persons, married people and individuals with more number of children are significantly likely to have multi-morbidity ( P < 0.05). Other studies on obesity also suggest increased age,[14] married people,[18] service holders[1920] and having more children[21] increases the risk for obesity and its related complications. However, no significant association of obesity with occupation was found in other study.…”

Section: Discussionmentioning

confidence: 99%

Epidemiology of obesity and its related morbidities among rural population attending a primary health centre of Odisha, India

Palo¹,

Swain²,

Priyadarshini³

et al. 2019

J Family Med Prim Care

View full text Add to dashboard Cite

Context: Overweight and obesity has become a major contributor to global burden of chronic diseases and disability. Obesity among rural India is emerging as a major health problem because of change in lifestyle and food habits, thereby increases the risk of multiple morbid conditions among rural population. Aims: This study aims to find out the association of overweight/obesity with different socio-demographic factors and explore the co-morbidities among overweight and obese in a rural setting. Settings and Design: A cross-sectional study was done in a randomly selected primary health centre of Khurda district, Odisha for 4 months. Materials and Methods: This study was done among 183 patients aged >20 years with BMI >25 kg/m 2 after taking their consent. Anthropometric measurements were done and data were collected using a semi-structured questionnaire. Statistical Analysis Used: Descriptive statistics such as proportion, mean and standard deviation were calculated and inferential statistics such as Chi-square test, univariate and multivariate regression was done using the SPSS version 20.0. Results: Mean age of participants was 45.7 (±13.8) years. About 93.4% were Grade II obese while 51.9% were at risk according to their waist–hip ratio. Around 53.6% of participants had multi-morbidity. Age, occupation and number of children were significantly associated with obesity. Morbidity was significantly associated with age, occupation, marital status and number of children. Increased grade in obesity the more is the probability of having morbidity. Conclusions: There is an urgent need to screen for obesity at rural health facility and early management for prevention from co-morbidities.

show abstract

Section: Discussionmentioning

confidence: 99%

Epidemiology of obesity and its related morbidities among rural population attending a primary health centre of Odisha, India

Palo¹,

Swain²,

Priyadarshini³

et al. 2019

J Family Med Prim Care

View full text Add to dashboard Cite

show abstract

“…Previous studies have reported higher rates of physical inactivity and obesity among white-collar workers, particularly female workers, than those in other occupations [39, 40]. Furthermore, physical inactivity during working hours negatively affects the health of white-collar workers [41].…”

Section: Discussionmentioning

confidence: 99%

Association between night work and dyslipidemia in South Korean men and women: a cross-sectional study

2019

View full text Add to dashboard Cite

Background Previous studies have reported that an irregular work schedule, particularly nighttime work, is associated with an altered lipid profile. Additionally, a mismatch in circadian rhythm can affect sleeping and eating habits, leading to poor health. This study aimed to examine the association between night work and dyslipidemia among South Korean adults aged ≥30 years. Methods For this study, the data of 5813 participants in the 2013–2016 Korea National Health and Nutrition Examination Survey were analyzed. Diagnoses of dyslipidemia were based on blood sampling tests of total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL) cholesterol, and triglyceride levels. Night work was defined as that conducted during evening (6 P.M.–12 A.M.) and overnight hours (12 A.M.–8 A.M.). The association between night work hours and dyslipidemia in South Korean men and women was investigated using a logistic regression analysis. Results After adjusting for sociodemographic, economic, health-related, and nutritional factors, an association of night work with dyslipidemia was observed in male participants (odds ratio = 1.53, 95% confidence interval: 1.05–2.24). In subset analyses of male participants, night workers who skipped meals were more likely to have dyslipidemia than their day-working counterparts. Among men who slept < 7 h, night workers had a higher probability of dyslipidemia than day workers. In contrast, no statistically significant association between night work and dyslipidemia was observed in female participants, although the probability of dyslipidemia appeared to increase with advancing age. Furthermore, when women with dyslipidemia were subdivided by occupational categories, night workers in white collar positions were more likely to have dyslipidemia than their day-working counterparts. Conclusion Our study observed an association of night work with dyslipidemia, particularly in men. Although these findings may support interventions for South Korean night workers, further studies are needed for validation.

show abstract

“…Moderate or strong PA inhibits the development of atherosclerosis and reduces total mortality by 20%–25%,27 which has been attributed to a range of effects such as reducing body weight, improving glucose tolerance28 or lipid profile. Blue-collar workers usually report high PA as a consequence of work conditions 29. The relationship observed between unemployment and low PA may be connected with higher susceptibility for cardiovascular diseases 30…”

Section: Introductionmentioning

confidence: 99%

What is the most important determinant of cardiometabolic risk in 60–65-year-old subjects: physical activity-related behaviours, overall energy expenditure or occupational status? A cross-sectional study in three populations with different employment status in Poland

et al. 2019

View full text Add to dashboard Cite

ObjectivesThe aim of the study was to determine whether cardiovascular risk factors may differ according to occupational status and whether physical activity related to total energy expenditure (PA-EE) and related to health-related behaviours (PA-HRB) is associated with common cardiovascular risk factors or metabolic syndrome in pre-elderly subjects.MethodsThree hundred subjects aged 60–65 were recruited and divided into three equal groups of white-collar, blue-collar workers and unemployed subjects; 50% were women. The subjects were tested for major cardiovascular risk factors such as smoking, anthropometric indices, blood pressure, lipid levels, glucose, uric acid and homocysteine. PA-EE and PA-HRB were assessed with PA questionnaires.ResultsBlue-collar workers displayed higher anthropometric indices, blood pressure and higher PA-EE in comparison with other two groups. PA-HRB had a positive impact on body mass indices, lipids, glucose, uric acid and the prevalence of metabolic syndrome, with no such relationship observed for PA-EE.ConclusionsThe greatest cardiovascular risk was observed in the blue-collar workers group. Only PA-HRB had a positive association with cardiometabolic risk profile. No relationship was observed for PA-EE. Thus, promoting everyday life and leisure time PA behaviours is crucial for preventing cardiometabolic risk in pre-elderly subjects, even in blue-collar workers with high work-related EE.

show abstract

Occupation Is Related to Weight and Lifestyle Factors Among Employees at Worksites Involved in a Weight Gain Prevention Study

Cited by 15 publications

References 32 publications

Epidemiology of obesity and its related morbidities among rural population attending a primary health centre of Odisha, India

Epidemiology of obesity and its related morbidities among rural population attending a primary health centre of Odisha, India

Association between night work and dyslipidemia in South Korean men and women: a cross-sectional study

What is the most important determinant of cardiometabolic risk in 60–65-year-old subjects: physical activity-related behaviours, overall energy expenditure or occupational status? A cross-sectional study in three populations with different employment status in Poland

Contact Info

Product

Resources

About