The Effect of Job Stress and Lifestyle on Blood Lipid Levels in Male Aircrew Personnel / 간호학회지

INTRODUCION: Cardiovascular disease has the potential to lead to sudden in-flight incapacitation and permanent grounding. The aims of this study are to examine the relationships between lifestyle, job stress and blood lipid levels of male aircrew personnel of a Korean airline and to identify which factors influence their hyperlipidemia. METHODS: Two hundred sixteen male aircrew personnel completed a questionnaire by self-report and consented to participate in the study. The questionnaire collected data related to job stress, life style, serum cholesterol levels and general characteristics of the aircrew. The cholesterol levels of the subjects were collected from their most recent health check-up records. Subjects were divided into two groups (the desirable group and the risk group) based on their serum cholesterol level, 200 mg/dl. RESULTS: Mean age and marital status were significantly different between the two groups. More subjects in the risk group had habits of eating high lipid foods, while more subjects in the desirable group exercised more frequently than the risk group. In logistic regression analysis, after controlling age and marital status, types of working situation (domestic duty or international duty, odds ratio=.390, p=.018), diet (odds ratio=.429, p=.037), and exercise (odds ratio=.320, p=.055) were influencing factors on aircrew's serum cholesterol levels. CONCLUSIONS: The cholesterol level of aircrew personnel is closely related to their lifestyle, such as lipid diet and exercise. The type of work situations, e.g. staying in an airplane for long periods of time or staying abroad, may influence these diet patterns and exercise habits.

Relationships among Job Stress, Health Beliefs and Health Behaviors of Aircrews / 성인간호학회지

PURPOSE: The purpose of this correlational study was to identify relationships among job stress, health beliefs and health behaviors of aircrews and contributing factors to aircrew's health promoting behaviors. METHOD: Two-hundred twenty-four aircrew members completed questionnaires. The questionnaires were composed of a demographic form, health behavior scale, self-efficacy scale, perceived benefit scale, perceived barrier scale, job demand scale, and latitude scale. RESULT: The subject's health behavior has shown significant correlations with self-efficacy, benefit, and barrier. Significant negative correlations were found between job stress and self-efficacy. Relationships between job stress and barriers were also statistically significant. In demographic features, statistically significant difference were found between subject's rank and job stress score. Also, there was a significant difference between health behavior and the subject's age. CONCLUSION: Future efforts should focus on the development of a program to consider aircrew's perceived benefits, perceived barriers and self-efficacy to the compliance of health promoting behaviors.

Application and Testing the PRECEDE Model for Health Promotion of Air Crew

To define the factors related to health promotion behavior in aircrew of an airline, this study as a covariance structural analysis applied and tested PRECEDE model. In using the PRECEDE model, the purpose of this study was to assess by phase factors that influence health promotion of aircrews and to test the relationship between health promotion related factors and those of PRECEDE model. The data was collected for one month in April of 2001 using self-questionarire and medical records. The data of 218 subjects were analyzed. For general characteristics and each assessment SPSS 10.0 Win Program was used for analysis LISREL 8.12 Win Program was used to test model. 1. Application of PRECEDE model For health promotion of aircrew, PRECEDE model was applied. For epidemiological assessment, elevated serum total cholesterol was chosen. Smoking, drinking, exercise and diet were defined as behavior factor. Job stress and stress factors in aviation were defined as environmental factor. Predisposing factors were regular lifestyle habits(sleep time, dietary habits with three meals per day, breakfast and snack), health related self efficacy, perceived benefit, perceived barrier. Reinforcing factors, the social support network among peers was assessed. Duty depending on the type of work situation, either domestic or international and the number of days spent in a rural city or overseas were used as enabling factors. 2. Testing of the model The total of nine theoretical variable to test its validity was used. Exogenous variable were enabling factors of work situation. Endogenous variables were reinforcing factor of social support network, predisposing factor of regular lifestyle, self efficacy, perceived benefit and perceived barrier. Out of 16 hypothetical paths using such factors, only four were supported. In order to modify the model, 5 paths were added after eliminating of 4 and as a result 9 out of total 17 were supported. Direct Effects With the PROCEDE model, reinforcing factors had significant effect on predisposing factors [Regular lifestyle habits (beta21=8.728, t=2.742), self efficacy (beta31=7.461, t=2.947), perceived benefit (beta41=3.967, t=2.679), perceived barrier (beta51=-3.550, t=-2.955)]. Even after modifying the model in order to improve fitness reinforcing factors had significant direct effects on predisposing factors [Regular lifestyle habits (beta21=0.020, t=2.428), self efficacy (beta31=9.636, t=2.427), perceived benefit(beta41=4.425, t=2.229), perceived barrier (beta51=4.212, t=-2.451)]. Perceived barrier had significant direct effects on health problem (beta85=0.171, t=2.979). Perceived barrier had significant direct effects on environmental factor (beta75=0.035, t=2.257). Perceived benefit had significant direct effects on behavior factor (beta64=0.391, t=2.755). Indirect Effect Regular lifestyle habits had significant indirect effects on Endogenous variable [Self efficacy (effect coefficient=0.191, t=9.004), perceived benefit (effect coefficient=0.087, t=4.576), behavior factor (effect coefficient=1.108, t=2.703), perceived barrier (effect coefficient=-0.083, t=-5.130), environmental factor (effect coefficient=-0.007, t=-2.579), health problem (effect coefficient=-0.016, t=-3.138)]. Social support network had significant indirect effects on health problem (effect coefficient=-0.823, t=-2.083). In conclusion this study supports the PRECEDE model by Green (1980) and this was useful in health promotion model of aircrew. Therefore, in order to improve health problem related to hyperlipidemia in aircrew, behavior modification though peer support should be promoted initially and then, programs that emphasize increasing perceived benefit and decreased barrier should be promoted. Finally, modifying health behavior to promote regular lifestyle and decrease health problems is encouraged.

The Influencing Factors on Health Behavior of Patients with Coronary Artery Disease / 간호학회지

PURPOSE: The purpose of this study was to investigate the influencing factors on health behavior among patients with coronary artery disease. METHOD: The subjects were 95 patients who visited the out-patient department of a university hospital for follow-up. The four health belief concepts (motivation, benefit, barrier, seriousness), general self-efficacy, health behaviors on medication, diet, exercise, stress management, smoking, and drinking were measured. RESULT: There were significant differences in the health behavior scores of subjects according to family support and the experience of surgical procedure. Subjects were found to have a high degree of compliance in taking medication. However subjects reported the lowest degree of compliance in regular exercise. In the multiple regression analysis, surgical procedure and motivation were significant predictors to explain diet. Motivation and barrier were significant predictors to explain exercise. Self-efficacy, motivation and family support were significant predictors to explain stress management. Family support and seriousness explained 16% of variance in drinking. Also, family support explained 30% of variance in smoking. CONCLUSION: Since predicting factors on each health behavior indicator were different, then nurses should consider these differences to construct strategy enhancing patient's recovery.

Historical Review of Aviation Nursing

No abstract available.

A Report of the 3rd Asia Pacific Congress of Aerospace Medicine

No abstract available.