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The level of work stress among nurses in Indonesia reached 50,9% according to a PPNI survey, reflecting the high pressure due to heavy workload, long working hours, and limited resources, making it crucial to obtain a current overview of nurses' work stress levels and related factors. This study aimed to determine the relationship between work factors and individual factors with work stress among hospital nurses, using a quantitative method with a cross-sectional approach. A total of 191 nurses spread across several hospitals in Jabodetabek, East Java, West Kalimantan, West Java, Central Java, and Riau Islands were recruited as respondents through randomized sampling. Data were collected using the Copenhagen Psychosocial Questionnaire-III (COPSOQ-III) and analyzed using descriptive statistics and Chi-square tests. Inferential analysis results showed a significant relationship between work stress and individual factors such as marital status (P-value = 0,033; OR = 1,905) and length of service (P-value = 0,02; OR = 1,033). Furthermore, work factors including employment status (P-value = 0.004; OR = 0,413), work-life balance (P-value = 0,001; OR = 5), and workload (P-value = 0,001; OR = 7,684) also had a significant relationship with work stress. Age, gender, education level, take-home pay, and role in the organization did not show a significant relationship. It is concluded that several individual and work factors are significantly associated with work stress in nurses.
This research discusses the factors that causes work stress in executive nurses Tugu Ibu Hospital Cimanggis in 2013. Factors examined included intrinsic job factors (workload, shift work, work routines), extrinsic job factors (role in the organiation, career development, interpersonal relationships with co-workers, supervisors, patients, and families) and respondent characteristics factors (gender, age, education level, martial status, length of service). This research is quantitative study with cross-sectional approach. Technique of data collection used questionnaire. The number of respondents are 99 respondents from inpatient unit, intensive care unit, emergency unit, Perinatology and surgical room. The results showed that 35 respondents (35,4%) had moderate stress levels and 64 respondents (64,6%) had mild stress levels. The factors that had a significant association with work stress based on statistical tests are workload, shift work, work routines, career development, interpersonal relationships with co-workers and interpersonal relationships with patients.
Scaffolding is an inseparable part of a construction work. Scaffolding work contributes to the emergence of risk factors for skeletal muscle disorders due to work (gotrak) or musculoskeletal disorders (MSDs). The purpose of this study was to analyze the risk factors for the occurrence of scaffolding at PT X. This type of research was crosssectional with 156 employees as respondents at PT X. Ergonomics risk factor assessment in the workplace is carried out with an approach to assessing the level of occupational risk and subjective complaints of workers. Respondents provided information on individual characteristics, ergonomic risks using the method (Rapid Entire Body Assessment or REBA) with the results achieving high and very high scores. The level of ergonomics risk shows that 66.23% of respondents are in the high risk category and 33.77% of the respondents are in the low risk category. The analysis of cough complaints on workers using the Nordic Body Map questionnaire resulted in the 3 highest complaints, namely neck, shoulders and hands/wrist. This study shows that the risk factors for the occurrence of Gotrak scaffold workers at PT X at 12 months old are age 30 years OR 1.91 (95% CI 1.37-3.25), working period 10 years OR 2.42 (95 % CI 1.39-4.19), awkward posture OR 6.24 (95% CI 2.40-16.21). While the risk factors for gotrak that caused the absence of the last 12 months are age 30 years OR 1.32 (95% CI 1.18-1.76), years of service ≥ 10 years OR 1.65 (95% CI 1.03-2.65), type of work OR 10.98 (95% CI 4.2628.26), REBA score 2.53 (1.78-3.00), demands at work OR 1.65 (95% CI 1.02-2.51), work organization and job contents OR1.44 (95% CI 1.28-2.93, for risk factors for the last 7 days, namely type of work OR 2.79 (95% CI 1.28-6.07), health and wellbeingOR 1.43 (95% CI 1.09-1.84).
In the era of the industrial revolution 4.0, humans still being an important role in production in several sectors. But humans also have limitations in terms of physical, physiological, and psychological. This imbalance can cause a problem in the body, namely work musculoskeletal disorders (WMSDS). The purpose of this study was to analyze individual, occupational, and psychosocial factors on WMSDS in workers in the packing area of PT AS. This type of research is cross-sectional with 172 workers in the packing area of PT AS. In ergonomics risk assessment, administrators/supervisors use ROSA, packing operators use RULA, helpers use OWAS. The results of questionnaire showed that the highest prevalence at 7-days WMSDS were neck, shoulder and upper back, while at 12 months, the highest prevalence were neck and shoulder. The analysis of this study found that there was a relationship between 7-days WMSDS with a stooping attitude for 1-4 hours with an OR value of 2.07 (1.00-4.32), the frequency of carrying loads 21-30 times/hour with an OR value of 8.33 (1.13-61.50) and mild level of stress with an OR value of 2.48 (1.10-5.59). Meanwhile, at 12 months of WMSDS, high work demands have a significant relationship with WMSDS in packing area workers of PT AS with an OR value of 2.67 (1.19-5.99). complaints of WMSDS in the packing area of PT AS are quite high (>60%), so it is necessary to repair it immediately
This study aims to analyze the risk factors associated with work stress among female nurses at Hospital X in Depok City, using the Job Demands-Resources (JD-R) theoretical framework. The main findings of this study indicate that 42.5% of female nurses at Hospital X in Depok City experienced symptoms of work-related stress in 2025, with severity ranging from mild to severe. Although the majority of respondents (98%) reported high to very high workloads, and some experienced work-family conflict (WFC), quantitative analysis did not find a statistically significant relationship between job demands (workload, work-interference with family, and family interference with work) and symptoms of work-related stress. This situation suggests that the existing workplace resources at Hospital X may act as a buffer, mitigating the negative effects of high work demands. Qualitatively, the hospital has implemented various mechanisms and programs to support nurses' workplace resources, although further improvements are still needed.
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.
