1.Relationship between stress and health behaviors practice.
Eun Young PARK ; Hyung Cheol PARK ; Kyeong Soo PARK ; Seok Joon SOHN
Journal of the Korean Academy of Family Medicine 2000;21(11):1436-1450
No Abstract Available.
Health Behavior*
2.Relationships among Stress, Perception of Occurrence Risk of Cancer and Cancer Preventive Health Behavior in Three-Shift Nurses.
Asian Oncology Nursing 2015;15(3):178-184
PURPOSE: The purpose of this study was to identify the relationship of stress, perception of occurrence risk of cancer and cancer preventive health behavior in three-shift nurses. METHODS: The participants of this study were 252 three shifts nurses working at three medium and small sized hospitals with 100 to 300 beds. Data were collected through a structured questionnaire from September to October 2014. RESULTS: The mean score for stress was 24.35+/-7.93. The mean score of perception for occurrence risk of cancer was 12.63+/-4.12 and cancer preventive health behavior was 58.07+/-8.87. Stress had a positive relationship with the perception of occurrence risk of cancer (r=.40, p<.001); the perception of occurrence risk of cancer had a positive relationship with the preventive health behavior against it (r=.31, p<.001); and stress had a positive relationship with preventive health behavior against it (r=.33, p<.001). CONCLUSION: The findings show that participants stress levels were high and degrees of perceptions of occurrence risk and cancer preventive health behaviors were low. Significant correlations were found among these variables. On the basis of these findings, development of intervention is required to reduce stress and enhance the perception of occurrence risk of cancer and cancer preventive health behavior among three shifts nurses.
Health Behavior*
3.The Factors that affect the Health Promoting Behaviors of Middle-aged Workers between Type D and Non-type D Personality.
Eun Ju LIM ; Jun Hee NOH ; Seung Eun KIM
Korean Journal of Occupational Health Nursing 2013;22(1):47-56
PURPOSE: This study is to identify the factors that affect middle-aged workers' health promoting behaviors. METHODS: 214 middle-aged workers participated in surveys, and the data were collected from August to September 2012 and analyzed by using descriptive statistics, Pearson's correlation coefficient, and multiple regression analysis with PASW 18.0 program. RESULTS: It was found that among the factors, the degree of job stress (t=7.69, p<.001) and depression (t=6.23, p<.001) were significantly high for type D individuals, while non type D showed meaningful degree of self-related health status (t=-3.66, p<.001) and health promoting behaviors (t=-4.71, p<.001). The notable variable that affected the health promoting behaviors of the middle-aged workers was depression for both type D (beta=-.357, p= .029) and non type D (beta=-.325, p<.001) individuals, and this variable accounted for 24.1% and 18.2% respectively. CONCLUSION: The study revealed that the middle-aged workers showed high degree of job stress and depression that influenced on their health promoting behaviors. Thus, they are recommended to receive health management programs that offer treatment through consulting considering their individual personalities.
Depression
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Health Behavior
4.The evaluation of health behaviors of comprehensive-health-checkup patients.
Journal of the Korean Academy of Family Medicine 1992;13(6):542-551
No abstract available.
Health Behavior*
;
Humans
5.Perceptions and health-seeking behaviour of two young women with Iatrogenic premature menopause
Ina S. Irabon ; Zenith DLT Zordilla
Philippine Journal of Reproductive Endocrinology and Infertility 2017;14(1):24-29
Background:
Premature menopause is a frequently overlooked condition with significant morbidity without timely intervention.
Objective:
This descriptive study explored the perceptions, concerns, and health-seeking behavior of two women diagnosed with premature menopause, regarding their illness.
Methods:
Authors interviewed two nulligravid patients less than 30 years old diagnosed with premature menopause. Verbal consent was sought prior to the interview. An interview guide adapted from the Explanatory Model (Kleinman) to probe each patient's perceptions, concerns and health-seeking behaviour regarding PM was used. Data validation was immediately sought after the interview with each patient before analysis. Thematic analysis was used to explore the patients' perceptions (physical, psychological, and social effects of PM) and health-seeking behavior that resulted from these effects.
Results:
Results showed that vasomotor symptoms, infertility, and treatment costs are important issues for these patients to help them undertsand their illness. The neglected role of physicians in fully disclosing the effects of the disease is highlighted in one patient that hindered her from making informed choices for treatment. The behavioural responses of these patients were influenced by the following factors: ability to make informed decisions over disease management, degree of disruption of activities of daily living, infertility, amount of social and financial support.
Conclusion
Looking at the underlying motivations of women diagnosed with premature menopause about their illness may help physicians better understand patients' circumstances, how it affects them and their families, and their expected recovery process.
Health Behavior
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Iatrogenic Disease
6.Relationships among Job Stress, Health Beliefs and Health Behaviors of Aircrews.
Eui Young CHO ; Young Whee LEE ; Hwa Soon KIM
Journal of Korean Academy of Adult Nursing 2002;14(4):581-590
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.
Compliance
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Health Behavior*
;
Surveys and Questionnaires
7.Relationships between Knowledge, Attitude and Preventive Health Behavior about Cancer in University Students.
Asian Oncology Nursing 2012;12(1):44-51
PURPOSE: The study was to identify the relationships between levels of knowledge, attitude and preventive health behavior about cancer in university students. METHODS: The data were analyzed with the SPSS/WIN 18.0 program. The participants of this study were 200 university students. Three kinds of instruments were used for this study, questionnaires about cancer-related knowledge, attitude and preventive health behavior from Suh et al. (1998). RESULTS: The mean score for knowledge about cancer was 14.33+/-5.32, the mean score of attitude toward cancer was 31.76+/-3.75 and the mean score of preventive behavior for cancer was 57.20+/-8.48. There was slightly positive correlation between knowledge of cancer and attitude toward cancer. There was positive correlation between the attitude toward cancer and preventive health behavior for cancer. CONCLUSION: It is necessary to consider the related factors for the development and implementation of systematic education programs that can encourage and promote preventive health behavior for cancer among university students.
Health Behavior
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Humans
;
Surveys and Questionnaires
8.Advancing Cancer Prevention and Behavior Theory in the Era of Big Data.
Audie A ATIENZA ; Katrina J SERRANO ; William T RILEY ; Richard P MOSER ; William M KLEIN
Journal of Cancer Prevention 2016;21(3):201-206
The era of "Big Data" presents opportunities to substantively address cancer prevention and control issues by improving health behaviors and refining theoretical models designed to understand and intervene in those behaviors. Yet, the terms “model” and “Big Data” have been used rather loosely, and clarification of these terms is required to advance the science in this area. The objectives of this paper are to discuss conceptual definitions of the terms "model" and "Big Data", as well as examine the promises and challenges of Big Data to advance cancer prevention and control research using behavioral theories. Specific recommendations for harnessing Big Data for cancer prevention and control are offered.
Dataset
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Health Behavior
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Models, Theoretical
9.Factors Influencing Preventive Health Behaviors for Cancer in Undergraduates.
Journal of Korean Academy of Fundamental Nursing 2015;22(1):59-68
PURPOSE: This study was conducted to investigate factors influencing preventive health behaviors in undergraduates, including knowledge about, and attitudes to cancer. METHODS: The participants were 219 undergraduates in H, and C Universities in G City, and K University in S City. Data were collected from April 1 to June 30, 2014, and analyzed using SPSS/WIN 21.0. RESULTS: The mean score for knowledge about cancer was 18.70. The mean score for attitude to cancer was 3.19, and the mean score for preventive health behaviors was 3.12. Knowledge about cancer showed a positive correlation with attitude to cancer and a positive correlation with preventive health behaviors. Attitude to cancer showed a positive correlation with preventive health behaviors. Significant factors that influenced preventive health behaviors for cancer were attitudes to cancer, age, worries about cancer, smoking, and regular exercise. These variables explained 43.5% of preventive health behaviors for cancer. CONCLUSION: Findings of this study indicate that programs to enhance positive attitudes to cancer prevention should be developed to increase preventive health behaviors in undergraduates and that further study should be done on the effects of such programs.
Health Behavior*
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Humans
;
Smoke
;
Smoking
10.A descriptive study of the regional and time-point changes in the Filipinos' internet search for tooth decay and toothache
Junhel Dalanon ; Yoshizo Matsuka
Philippine Journal of Health Research and Development 2020;24(1):39-45
Background:
The Philippines has one of the highest prevalence of untreated tooth decay (TD) in the world. Toothache (TA) is a common sequela of chronic and untreated TD. Google Trends (GT) offers an inexpensive and fast method of assessing search trend for these health conditions.
Objectives:
This study aimed to characterize the regional and time-point variations in the Filipinos' internet searches for TD and TA.
Methods:
A descriptive analysis of a search query done on Google Trends using the search terms TD and TA was done. The parameters were constrained to include only data from the Philippines, from November 2009 to November 2019, under the health category, and the web search database.
Results:
The top three regions that had the highest searches for TA were MIMAROPA (100%), ARMM (100%), and Caraga (82%), while CAR (27%), Metro Manila (27%), and Ilocos Region had the highest search results for TD. From 2009 (19.85%) the searches for TA progressively increased until 2019 (92.61%), while the searches for TD remained comparable from 2009 (25.09%) to 2019 (25.98%).
Conclusion
The results of this study reveal regional and time-point differences in the Filipinos' search interests for TD and TA.
Toothache
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Health Behavior
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Data Mining