Relationship Between Self-Esteem and Smoking Behavior Among Japanese Early Adolescents: Initial Results from a Three-Year Study

1999 ◽  
Vol 69 (7) ◽  
pp. 280-284 ◽  
Author(s):  
Tetsuro Kawabata ◽  
Donna Cross ◽  
Nobuki Nishioka ◽  
Satoshi Shimai
Keyword(s):  
Smoking Behavior ◽  
Early Adolescents ◽  
Self Esteem ◽  
Initial Results

Effects of attachment with parents, self-esteem, and self-control on early adolescents’ adjustment

2020 ◽  
Vol 17 (2) ◽  
pp. 69-92
Author(s):  
seon-mi Kim ◽  
sun-hee Park ◽  
hye-suk Jeong ◽  
yeong-hee Kim
Keyword(s):  
Early Adolescents ◽  
Self Esteem ◽  
Self Control

scholarly journals Smoking Behavior, Social Support, and Cessation Motivation in Smoking Among Health Sciences’ Students

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Nur Melizza ◽  
Anggraini Dwi Kurnia ◽  
Nur Lailatul Masruroh ◽  
Indrasari Dwi Yulianti
Keyword(s):  
Social Support ◽  
Smoking Habit ◽  
Smoking Behavior ◽  
Sampling Technique ◽  
Self Esteem ◽  
Health Sciences ◽  
Appraisal Support ◽  
Health Sciences Students ◽  
Tangible Support ◽  
High Level

ABSTRACT Introduction: Many students have been accustomed to smoking, including those majoring at health sciences. Theoretically, they are supposed to be the ones who are actively aware of some possible health damages caused by smoking habit. Thus, people around them play an essential role in taking control of someone’s pattern through social support, especially over those who are highly motivated to quit smoking. Objective: This study aimed to identify smoking behavior, social support, and cessation motivation in smoking among health sciences’ students. Methods: This research was categorized as observational-descriptive one, with the use of accidental sampling technique to recruit as many as 63 students of faculty of health sciences who were defined as active smokers. The data, furthermore, were collected by means of a questionnaire. At last, a statistical-descriptive analysis was used to evaluate the data. Result: The result was most of the involved respondents were shown to have a moderate trend of smoking (65%). On the other hand, the majority of the respondents had been supported through some types of social support with relatively high percentage, to name appraisal support (indicating 71%), tangible support (indicating 87%), self-esteem support (indicating 97%), and belonging support (indicating 92%). Moreover, most of the respondents were equipped by the high level of quittance motivation from smoking, signifying 71%.  Discussion: This research had indicated that the level of smoking habit perceived by the respondents was moderate. In short, appraisal support was defined as high, tangible support low, self-esteem support high, and belonging support high. In addition, some of the respondents had demonstrated a high level of quittance motivation from smoking

scholarly journals Association of Internet Addiction with Family Functionality, Depression, Self-Efficacy and Self-Esteem among Early Adolescents

2020 ◽  
Vol 17 (23) ◽  
pp. 8820
Author(s):  
Hsiao-Ching Chen ◽  
Jiun-Yi Wang ◽  
Ying-Lien Lin ◽  
Shang-Yu Yang
Keyword(s):  
Internet Addiction ◽  
Self Efficacy ◽  
Associated Factors ◽  
Multiple Logistic Regression Analysis ◽  
Early Adolescents ◽  
Depression Scale ◽  
Self Esteem ◽  
Internet Usage ◽  
Cross Sectional ◽  
Family Functionality

Early adolescents usually have worse self-control and poor time management abilities. They are a higher-risk group for Internet addiction than older adolescents or adults. This study aims to explore the prevalence of Internet addiction and associated factors in early adolescents. Participants included 451 fifth and sixth-grade students in Central Taiwan. This study adopted a cross-sectional design and a structured questionnaire that consisted of demographics, Young’s Internet Addiction Test, the Centre for Epidemiological Studies-Depression scale, the General Self-Efficacy Scale and the Rosenberg Self-Esteem Scale. The participants were 50.8% male, and the mean age was 11.35, with a range of 10.33–12.92 years. A total of 33.7% of all participants were prone to Internet addiction. The results showed that participants who were male and had high money allowance, poor family atmosphere, parents who did not limit Internet usage time, high depression, low self-efficacy and low self-esteem were more prone to Internet addiction. A multiple logistic regression analysis revealed that being male, having parents who did not limit Internet usage time and higher degrees of depression were the associated factors of Internet addiction in early adolescents. The phenomenon of Internet addiction among early adolescents seems to be increasing. Improving family functionality and individual mental health may be effective ways to reduce Internet addiction.

The Smoking Control Research Project: Purpose, Design, and Initial Results

1967 ◽  
Vol 20 (2) ◽  
pp. 367-376 ◽  
Author(s):  
Jerome L. Schwartz ◽  
Mildred Dubitzky
Keyword(s):  
Smoking Behavior ◽  
Social Psychological ◽  
Individual Counseling ◽  
Control Groups ◽  
Research Project ◽  
Stop Smoking ◽  
The Social ◽  
Control Research ◽  
Smoking Control ◽  
Initial Results

This report presents an outline of the Smoking Control Research Project, the main objectives of which are: the investigation of the social-psychological dynamics underlying smoking behavior and comparison of the effectiveness of three techniques designed to help people stop smoking. Initially, questionnaires were sent to a one-in-seven random sample of 8,284 male members of a prepaid health plan. Of the questionnaire respondents who were minimally motivated to stop smoking, those who completed a battery of psychological tests and medical screening were randomly assigned to control groups and treatment methods: Prescription, Individual Counseling, and Group Counseling. Social class and tranquilizer-placebo effects were controlled within each method. During the treatment program, the wives of all married Ss were studied to assess their influence upon their husbands' success. Initial results show an over-all quitting rate of 33%. Rates of success are compared for different methods.

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