• Asian Pacific Journal of Cancer Prevention
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• v.13 no.10
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• pp.5011-5017
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• 2012

Background: Overexposure to sunlight in childhood and the adolescent period and associsated sunburns significantly increase the risk of skin cancer in adulthood. In Turkey, the incidence of skin cancer in the general population is 0.8%. The incidence is 0.6% and the mortality rate is 0.4% for men, while these rates are 1.0% and 0.7%, respectively, for women. If skin cancer is found early, its treatment is facilitated. Therefore, personal skin examination is important for early diagnosis. Objectives: Our aim was to determine the effects of training for raising consciousness among adolescents to protect against skin cancer by influencing skin self examination behavior. Method: This quasi experimental intervention study was conducted between February and April 2012 in Izmir. The study population consisted of students attending $6^{th}$, $7^{th}$ and $8^{th}$ classes of a primary school (n:302). No sampling was performed. Data were collected with a form developed by the researchers based on the literature. The first part of form is aimed to determine demographic characteristics of adolescents (3 questions) and their risk status of skin cancer (6 questions). The second part was prepared for skin cancer risks of adolescents (8 questions) and indications of skin cancer (12 questions). The last part was intended to determine their knowledge about skin self examination (4 questions) and behavioral stages of skin self examination (1 question). Data collection was achieved with a questionnaire form in three phases. In the 1st phase, data about demographic characteristics of students, risk status of skin cancer, knowledge level of skin cancer and behavior stages were collected. In the $2^{nd}$ phase, skin self examination training based on the transtheoretical model was performed within the same day just after obtaining preliminary data. In the $3^{rd}$ phase, adolescents were followed up three times to establish the efficacy of the training (on the $15^{th}$ day after training program and at end of the $1^{st}$ and $2^{nd}$ months). Follow-up data were evaluated by questioning skin self examination performing behavior stages through electronic mail. Results: Half of the adolescents (50.5%) are male, and 58.4% of them are 13 years old with a mean age of $12{\pm}1.15$ years. About 29.4% of adolescents had brown hair color, 37.9% had brown/hazel eye color, 29.4% had white skin, and 47.2% had fewer than 10 moles in their body. The pretest mean score on knowledge level about risks of skin cancer was found to be $4.19{\pm}1.96$, while the post-test mean score was $6.79{\pm}1.67$ (min:0, max:8).The pretest mean score about indications of skin cancer was $7.45{\pm}3.76$, while the post-test mean score was $10.7{\pm}2.60$ (min:0, max:12). The increases were statistically significant (p<0.05). The behavior "I do not perform skin self examination regularly in every month and I do not think to perform it in the next 6 months" was reduced from 52.8 to 35.5% after training. Conclusion: The training program organized to raise consciousness among adolescents for protection against skin cancer increased the knowledge level about risks and indications of skin cancer and it also improved the behavior of performing skin self examination.

• Journal of the Korean Society of School Health
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• v.10 no.1
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• pp.87-97
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• 1997

The purpose of this study is to examine the importance of family environment for middle school student's health behavior. In order to do this we collected data through the questioning of 543 male students and 512 female students in 4 Pusan middle schools. The results of this study are summarized as follows. The score on their family cohesion and adaptability was 57.8, 43.5 on the average for male students and 59.8, 44.8 in female students. The score on their family adaptability and cohesion was higher in fema1e students than male students. The score of their Breslow health behavior was 4.20 from a total of 7.00, the total score of health behavior was 131.4 from a total of 176.0 scores. The students had a 43.9 out of 60.0 in personal hygiene and daily habits, 32.8 out of 40.0 for infectious disease preventive behavior, 30.2 out of 40.0 in accident prevention, 24.5 out of 36.0 in mental health. In the cases of males, the score for Breslow health behavior was higher the lower the school grade, the younger the parents, the higher the educational level of parents, the more comfortable the family, and the higher the economic state. There was a statistically significant difference with regard to family cohesion and adaptability. In the cases of females, The total score for health behavior was higher. However, the difference was not significant in other fields. With the multiple regression analysis, the health behavior of middle school student was associated significantly with sex (female students), grade, family cohesion, and adaptability. In Breslow health behavior, scale sex (male students), father's age, family cohesion and the harmony of parents were significant variables. From the results of this study, a good family environment fur middle school students is very important.

• Journal of agricultural medicine and community health
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• v.20 no.2
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• pp.175-185
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• 1995

This study is to compare family support and mental health between the rural and the urban elderly. In order to do that I collected the data through questioning 238 people in 3 urban areas in Busan and 201 people in 9 rural areas near Daegu. The degree of their family support is 36.70 on the average in the rural area and 40.77 in the urban area. The degree of family support of urban elderly is a little higher. According to general characters between the differences of family support in both areas, in the rural area there are differences in sex, age, whether they have a spouse or not, education level, financial state, number of children, number of co living, status of co living, subjective health status, amount of pocket money and how much they are participating in leisure activity. In the urban area there are differences in sex, whether they have a spouse or not, religion, financial state, number of co living, status of co living, subjective health status, amount of pocket money, how much they are participating in leisure activity and house pattern. In the stepwise multiple regression analysis the main variables that affect degree of family support in the rural area are age, whether they have a spouse or not and financial state which account for 33% of the total variance and in the urban area are subjective health status, financial state, whether they have a spouse or not and number of co-living which account for 35%. Health status is better in the urban area(average 36.87) than in the rural area(57.42). In each item the people whose mark was more than 75%(low) have Depression 8.4%, Somatization 8.0% in the urban area and Somatization 8.5%, Depression 8.5%, Anxiety 4.0%, Phobic anxiety 4.0%, Obsessive compulsive reaction 2.5%, Hostility 2.0%, Paranoid ideation 2.0%, Psychoticism 1.5% and Interpersonal sensitivity 1.5% in the rural area. In the mental health condition, on the basis of 4 points in both areas, the average is Somatization(rural : 1.69, urban : 1.51), Depression (rural : 1.64, urban : 1.37) and Obsessive compulsive reaction(rural : 1.33, urban : 0.99). According to the differences between mental health conditions by general characters, in the rural area the differences are presented in sex, age, whether they have a spouse or not, religion, education level, financial state, number of children, status of co living, subjective health status, amount of pocket money and how much they are participating in leisure activity, in the urban area the differences are presented in sex, whether they have a spouse or not, religion, financial state, number of co living, status of co living, subjective health status, house pattern, amount of pocket money and how much they are participating in leisure activity. In the stepwise multiple regression analysis the main variables that affect mental health condition in the rural are family support degree subjective health status, religion sex, age and financial state which account for 43% of the total and in the urban area are family support degree, subjective health status and financial state which account for 51%. In the matter of family support degree and mental health condition the rural area was -0.4555, of urban area was -0.6446. The rural area that has a high percentage in family support degree and mental health condition Depression was -0.5036, Psychoticism was -0.4265 in the urban area Psychoticism was -0.6452, Depression was -0.5955. Family support has a great influence on mental health of old people and family support and mental health condition can be different according to living area. So in their problems nursing intervention through family and nursing strategies according to living area should be established.