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Relationship of selected demographic variable to quality life of breast cancer patients / Marita Manalo, Gilbert Pasia, Earl Kristine Poblador, Pablo Angelo Rosales.

Contributor(s): Material type: TextTextPublication details: Paranaque City; Olivarez College, c2008.Description: x, 102 p. : Black and white illustration. 28cmDDC classification:
  • OCP BSN 0161 2008
Summary: ABSTRACT : The system of study used by the researchers is based on descriptive method. The descriptive method is utilized in determining the relationship of the variables. The relationship of selected demographic variables may provide insights to the profession concerned to initiate improvements and provide better alternatives to circumstances that most likely to create frustrations and discomfort in patients with Cancer. The study assessed the quality of life of Breast Cancer patients. The Quality of life was used as a measurement of the health status of patients on chemotherapy treatment or with cancer. The variables were studied whether they had a relation to how they arfected the quality of life of the patients. The variables that were chosen to be associated with the quality of life are socio demographic variables that may help determine the difference in the quality of life of different oncology patients. They were chosen based on the literature found related to the study. This study aims to answer the following questions: What is the demographic profile of patients with breast cancer in terms of Age, Civil Status, Educational Attainment, Socio Economic status, Occupation and Stages of Cancer; What is the quality of life of Breast Cancer patients?; and if there is a significant relationship between the quality of life of Breast Cancer patients and the following demographic variables. ..The study showed that the majority of respondents were 36 - 40 years old with a frequency of 23 or 46 %, 41 and above with a frequency of 12 or 24 %, 30-35 years old with a frequency of 7 or 14 %, 24 -29 years old with a frequency of 6 or 12 %, and 18 -23 yrs old with a frequency of 2 or 4 %. The study showed that most of the respondent civil status is married with a frequency of 31 or 62%, widow with a frequency of 10 or 20 %, and single with a frequency of 9 or 18 %. The study showed that mostly of the respondents were college graduate with a frequency of 24 or 48 %, High School Graduate with a frequency of 10 or 14 %, College Undergraduate with a frequency of 7 or 20 %, Elementary Graduate with a frequency of 5 or 10 , Post Graduate with a frequency of 4 or 8 %. The study showed that most of the occupation of the respondents is that of a Supervisor/ Jr. Executive with a frequency of 23 or 46 %, Clerical Jobs/ Operator with a frequency of 10 or 20 %, Blue collar workers with a frequency of 8 or 16 %, Others with the frequency of 5 or 10 %, and Managerial/ Sr. Executive with a frequency of 4 or 8 %. The study showed that most of the respondent's monthly income range between 20,000 - 24,000 with the frequency of 16 or 32 %, 15,000 - 19,000 with the frequency of 13 or 26 %, 10,000 - 14,000 with the frequency of 11 or 22 %, 5,000 - 9,000 with the frequency of 6 or 12 %, and 25,000 and above with the frequency of 4 or 8 %. The study showed that equal number of the respondents with breast cancer were selected with the frequency of 25 or 50 %.. It is obvious that there is a very low correlation, for the reason that the demographic profiles are not only the factors that affect the quality life of the respondents. In this case, there are only a number of demographic profile factors that could really affect their quality of life. This was proven by using the correlation method of the Pearson product correlation test. Based from the Results, it can be concluded that there is no significant relationship between the gender and the quality of life; there is no significant relationship between the age and the quality of life; there is nɔ significant relationship between the civil status and the quality of life; there is no significant relationship between the educational attainment and the quality of life; there is no significant relationship between the occupation and the quality of life; there is no significant relationship between the socio economic status and the quality of life and; there is no significant relationship between the stages o cancer and the quality of life. To test the hypothesis, the researcher found out that there is no significant relationship to the demographic profile and the quality of life of the oncology patients. Based on the results of the study, the following recommendations are hereby advanced: Female clients may need to be reminded to perform monthly breast self examination in order to early detection of growths, masses should be Examined by a Doctor no matter how small. Female with breast cancer, monthly self breast examination beginning at age 20, clinical breast examination every 3 years from age 20 to 40 and then annually beginning at age 40, mammogram annually beginning at age 40.Family should give moral and spiritual support to their love ones with Illness of cancer. Government health centers should conduct seminars about prevention and early detection of breast cancer. Future researchers are also encouraged to use this study as reference to validate the result.
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Includes Recommendation, Bibliography, Appendices and Curriculum Vitae.

ABSTRACT :
The system of study used by the researchers is based on descriptive method. The descriptive method is utilized in determining the relationship of the variables. The relationship of selected demographic variables may provide insights to the profession concerned to initiate improvements and provide better alternatives to circumstances that most likely to create frustrations and discomfort in patients with Cancer.
The study assessed the quality of life of Breast Cancer patients. The Quality of life was used as a measurement of the health status of patients on chemotherapy treatment or with cancer. The variables were studied whether they had a relation to how they arfected the quality of life of the patients. The variables that were chosen to be associated with the quality of life are socio demographic variables that may help determine the difference in the quality of life of different oncology patients. They were chosen based on the literature found related to the study. This study aims to answer the following questions: What is the demographic profile of patients with breast cancer in terms of Age, Civil Status, Educational Attainment, Socio Economic status, Occupation and Stages of Cancer; What is the quality of life of Breast Cancer patients?; and if there is a significant relationship between the quality of life of Breast Cancer patients and the following demographic variables.
..The study showed that the majority of respondents were 36 - 40 years old with a frequency of 23 or 46 %, 41 and above with a frequency of 12 or 24 %, 30-35 years old with a frequency of 7 or 14 %, 24 -29 years old with a frequency of 6 or 12 %, and 18 -23 yrs old with a frequency of 2 or 4 %. The study showed that most of the respondent civil status is married with a frequency of 31 or 62%, widow with a frequency of 10 or 20 %, and single with a frequency of 9 or 18 %. The study showed that mostly of the respondents were college graduate with a frequency of 24 or 48 %, High School Graduate with a frequency of 10 or 14 %, College Undergraduate with a frequency of 7 or 20 %, Elementary Graduate with a frequency of 5 or 10 , Post Graduate with a frequency of 4 or 8 %. The study showed that most of the occupation of the respondents is that of a Supervisor/ Jr. Executive with a frequency of 23 or 46 %, Clerical Jobs/ Operator with a frequency of 10 or 20 %, Blue collar workers with a frequency of 8 or 16 %, Others with the frequency of 5 or 10 %, and Managerial/ Sr. Executive with a frequency of 4 or 8 %. The study showed that most of the respondent's monthly income range between 20,000 - 24,000 with the frequency of 16 or 32 %, 15,000 - 19,000 with the frequency of 13 or 26 %, 10,000 - 14,000 with the frequency of 11 or 22 %, 5,000 - 9,000 with the frequency of 6 or 12 %, and 25,000 and above with the frequency of 4 or 8 %. The study showed that equal number of the respondents with breast cancer were selected with the frequency of 25 or 50 %..
It is obvious that there is a very low correlation, for the reason that the demographic profiles are not only the factors that affect the quality life of the respondents. In this case, there are only a number of demographic profile factors that could really affect their quality of life. This was proven by using the correlation method of the Pearson product correlation test. Based from the Results, it can be concluded that there is no significant relationship between the gender and the quality of life; there is no significant relationship between the age and the quality of life; there is nɔ significant relationship between the civil status and the quality of life; there is no significant relationship between the educational attainment and the quality of life; there is no significant relationship between the occupation and the quality of life; there is no significant relationship between the socio economic status and the quality of life and; there is no significant relationship between the stages o cancer and the quality of life. To test the hypothesis, the researcher found out that there is no significant relationship to the demographic profile and the quality of life of the oncology patients.
Based on the results of the study, the following recommendations are hereby advanced: Female clients may need to be reminded to perform monthly breast self examination in order to early detection of growths, masses should be Examined by a Doctor no matter how small. Female with breast cancer, monthly self breast examination beginning at age 20, clinical breast examination every 3 years from age 20 to 40 and then annually beginning at age 40, mammogram annually beginning at age 40.Family should give moral and spiritual support to their love ones with Illness of cancer. Government health centers should conduct seminars about prevention and early detection of breast cancer. Future researchers are also encouraged to use this study as reference to validate the result.

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