Up to December of 2011, the domestic and overseas literatures of acupuncture for smoking cessation are searched and collected through Pubmed, CNKI, Wanfang and Chongqing VIP databases, which are analyzed from treatment method, action mechanism, influencing factors of efficacy and efficacy evaluation research and so on. The result shows that (1) acupuncture has positive effect on smoking cessation, and large clinical trials has been carried out. However, most of them are needling methods and the short-term effect observation, which lack of long-term efficacy research of withdrawal symptoms, especially continuous withdrawal symptoms and index of life quality. (2) Because of unified clinical treatment, manipulation standard and curative effect criteria, it is difficult to make comparison among them. (3) The study of mechanism on acupuncture for smoking cessation is not of in-depth. In future, clinical research project of acupuncture on smoking cessation should be optimized and regulated, including the unified treatment, manipulation standard and curative effect criteria, also long-term researches with large-scale samples should be launched to confirm effect ofacupuncture for smoking cessation to further discuss its action mechanism.
Acupuncture Therapy ; trends ; Humans ; Internationality ; Smoking ; psychology ; therapy ; Smoking Cessation

OBJECTIVES: Understanding recent trends in cigarette smoking among adolescents is important in order to develop strategies to prevent cigarette smoking. The aim of this study was to compare recent trends in cigarette smoking for adolescents living in rural areas, small towns and metropolitan cities in Korea. METHODS: The raw data from the Korea Youth Risk Behavior Web-based Survey (KYRBWS) from 2005 to 2009 were used. Data were analyzed by using the method of complex survey data analysis considering complex sampling design. Logistic regression models were used to evaluate significant linear time trends in cigarette smoking. The indicators of cigarette use behaviors were 'current smoking rate', 'frequent smoking rate', 'heavy smoking rate' and 'smoking experience rate before 13 years of age'. All analyses were conducted according to gender. RESULTS: Statistically significant increasing trends in current smoking rate and frequent smoking rate were observed and borderline significant increasing trends in heavy smoking rate were shown among rural boys. Among metropolitan city boys, statistically significant increasing trends were also seen for frequent smoking. Statistically significant decreasing trends in current smoking rate were observed among small town and metropolitan city girls. Smoking experience rate before 13 years of age for rural girls decreased significantly. CONCLUSIONS: Cigarette smoking prevalence among adolescents in the rural areas has increased in the last five years especially among boys. Our findings suggest that anti-tobacco program for adolescents should be conducted primarily for those in rural areas.
Adolescent ; Adolescent Behavior/*psychology ; Female ; Humans ; Male ; Prevalence ; Questionnaires ; Republic of Korea ; Rural Population ; Smoking/epidemiology/prevention & control/*trends ; Urban Population

OBJECTIVES: Previous observations propose that risk-taking behaviors such as cigarette smoking are prevailing among young people with chronic conditions including diabetes. The purpose of this study was to examine whether cigarette smoking is more prevalent among diabetics than non-diabetics and whether it differs by age at the time of diagnosis with diabetes from young adulthood (YAH) to adulthood (AH). METHODS: We used US panel data from the National Longitudinal Study of Adolescent Health (Add Health Study) during the years 2001 to 2002 (Wave III, YAH) and 2007 to 2008 (Wave IV, AH). Multivariate logistic regression models were applied to estimate odds ratios (ORs) and 95% confidence intervals (CIs) of cigarette use behaviors according to age at the time of diagnosis with diabetes, after adjusting for demographic and selected behavioral factors. RESULTS: Of 12 175 study participants, 2.6% reported having been diagnosed with diabetes up to AH. Early-onset diabetics (age at diagnosis <13 years) were more likely than non-diabetics to report frequent cigarette smoking (smoking on > or =20 days during the previous 30 days) in YAH (OR, 3.34; 95% CI, 1.27 to 8.79). On the other hand, late-onset diabetics (age at diagnosis > or =13 years) were more likely than non-diabetics to report heavy cigarette smoking (smoking > or =10 cigarettes per day during the previous 30 days) in AH (OR, 1.54; 95% CI, 1.03 to 2.30). CONCLUSIONS: The current study indicated that diabetics are more likely than non-diabetics to smoke cigarettes frequently and heavily in YAH and AH. Effective smoking prevention and cessation programs uniquely focused on diabetics need to be designed and implemented.
Adolescent ; Adult ; Age Factors ; Demography ; Diabetes Mellitus/diagnosis/*psychology ; Female ; Humans ; Logistic Models ; Longitudinal Studies ; Male ; National Longitudinal Study of Adolescent Health ; Odds Ratio ; Sex Factors ; Smoking/*psychology/trends ; Young Adult

OBJECTIVES: Cigarette smoking prevalence among adolescent males in rural areas of Korea has increased in recent years. The aim of this study was to explore the factors related to increasing trends in cigarette smoking among adolescent males living in rural areas. METHODS: The raw data from the Korea Youth Risk Behavior Web-based Survey from 2006 to 2009 were used. Data were analyzed by using the method of complex survey data analysis considering complex sampling design. Multiple logistic regression models were used to explore the factors affecting cigarette smoking. We evaluated the linear time trends in the prevalence of factors that were related to current smoking status and the linear time trends in cigarette smoking in groups stratified by the exposure to each factor using logistic regression models. Finally, we examined the contributions of the factors to the time trends in cigarette smoking by adjusting for each of those factors in the baseline regression models and changes in the adjusted odds ratio by survey year. RESULTS: A statistically significant increasing trend in smoking was observed after adjusting for the factors affecting cigarette smoking. Significant factors related to cigarette use were perceived stress, experience with depression, current alcohol drinking, exposure to secondhand smoke, and academic performance. The factor related to increasing trends in cigarette smoking was academic performance. CONCLUSIONS: Stress about academic performance is an important factor affecting the increase in cigarette smoking among adolescent males in a rural area of Korea.
Adolescent ; Adolescent Behavior ; Adolescent Psychology ; Alcohol Drinking ; Depression ; Humans ; Internet ; Logistic Models ; Male ; Odds Ratio ; Prevalence ; Republic of Korea/epidemiology ; Risk Factors ; Rural Population ; Smoking/*epidemiology/trends ; Tobacco Smoke Pollution