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Metabolic syndrome has a large impact on the health condition of workers, this can increase costs incurred by the company and lead to loss of productivity it is necessary to research the risk factors for metabolic syndrome in office workers at PT X which is expected to prevent and control the prevalence of metabolic syndrome in order to reduce risk factor of metabolic syndrome in future. This research was conducted on office workers at PT X with 106 research respondents during February - August 2020 in Jakarta. PT X is an engineering service provider of the Indusrial Automation that has clients in several process industries whose daily activities are sedentary. The design of this research study uses cross sectional method. The aim is to determine the relationship between the dependent variable (individual risk factors and occupational risk factors) with the independent variable Metabolic Syndrome. The results showed that the proportion of metabolic syndrome is 4,97% which the highest metabolic syndrome component was found in high triglycerides 20,4%, low HDL levels is 14,9% and had abdominal obesity is 14,4%. Which had 1 symptom of metabolic syndrome criteria is 25,4% and which had 2 symptoms of metabolic syndrome criteria are 8,3%. Although the analysis found no significant results on the relationship of individual factors and occupation of the metabolic syndrome, but on some individual risk factors such as smoking have a risk of 3,35 times greater than not smoking, and higher education levels 2,44 times higher risk compared to lower education levels.
Metabolic syndrome, according to the Joint Interim Statement (JIS), is a cluster of interrelated risk factors for cardiovascular disease and type 2 diabetes, characterized by the presence of at least three out of five specific conditions: central obesity, elevated triglyceride levels, low HDL cholesterol, hypertension, and hyperglycemia. This study aims to analyze the relationship between risk factors for metabolic syndrome, including environmental factors (work location and place of residence), behavioral factors (smoking habits, physical activity, eating pattern, and sleep duration), and genetic factors (age and family history of disease), with the incidence of metabolic syndrome among mine workers at PT XY, East Kalimantan. A cross-sectional study design with a quantitative approach was employed. Primary data were collected through online questionnaires, while data on metabolic syndrome components were obtained from Medical Check-Up (MCU) results. The analysis revealed that among 105 respondents, 22 (21%) had metabolic syndrome. Among the assessed risk factors, only age was significantly associated with the incidence of metabolic syndrome (p = 0.001). Other factors, such as work location, place of residence, smoking habits, physical activity, eating pattern, sleep duration, and family history of disease, showed no significant association.
