This is an exploratory study to describe drinking patterns and alcohol-related problems (ARP) in women. A probability sample was drawn from Kyungnam Providence area 20 to 59 age by a multi- stage cluster sampling method and secondary data analysis was used. Drinking patterns in this study involve lifetime prevalence of alcohol use, year prevalence, month prevalence , frequency and usual quantity of drinking alcohol in a situation, ARPs were measured by employing a modified version of ARP developed by Alcohol Research Group in U.S.A. Three measurements were constructed to represent alcohol-related problems by summing up 41 alcoholic statements, which were consequence, social consequence and dependence. The results were as follows; 1) The lifetime prevalence of alcohol use in women was $80.3\%$ and year prevalence $78.3\%$. High prevalence rates of drinking were observed in the twenties who have at least community college diploma. and frequencies of alcohol use were increased as age increased. 2) More than $27.3\%$ of the respondents who were reported to experience at least a ARP in a year. 3) ARPs were associated with age, religion, frequency and usual quantity of drinking alcohol in situation. Issues were proposed with respect to research methodology and policy implications for public health.
Purpose: This study aimed to identify the level of knowledge on preventing cardiovascular disease (CVD) and nicotine dependency among smoking male college students, and to examine the predicting factors of nicotine dependency. Methods: This study was conducted as cross-sectional descriptive research using structured questionnaires. Data were collected from 411 smoking male college students ($22.5{\pm}2.59$ yr) at two universities located in two cities in Korea from September 2012 to April 2013. Logistic regression analysis was performed to estimate age-adjusted odds ratios of nicotine dependency. Results: The mean value of nicotine dependency was $4.2{\pm}1.96$ and the percentage of participants who had strong nicotine dependency (${\geq}7$) was 10.7%. Logistic regression analysis showed that, when adjustment was made for age, nicotine dependency was predicted by the frequency of alcohol drinking (${\geq}3$ times/week), knowledge on CVD prevention, the age starting drinking, and the total length of smoking. Conclusion: Nicotine dependency was strongly related to the frequency of drinking alcohol and lower knowledge on CVD prevention. Therefore, male college students who have a dependent smoking habit and drink alcohol frequently need to take more interest in health through educational counseling to modify their lifestyle behaviors and to have preventive knowledge related to CVD.
The purpose of this study was to explore the degree of stress in caregivers caring for patients who had had a cerebro vascular accident as the stress is related to the self- care ability of the patient. The subjects for the study were caregivers of 111 CVA patients, hospitalized at two University affiliated hospitals and two general hospitals in Daejon. The survey instruments used in the study were Kang’s ADL Check List and a modified form of Lee’s Stress Inventory. The survey was conducted from July 16th to August 30th, 1992. The survey results were analyzed using the Statisitical Package for Social Sciences (SPSS) and can be sumerized as follows: 1. The level of self- care for the CVA patients was : 1) complete dependence (M=34.7, 31.2%), 2) complete independence (M=14.8. 13.3%), 3) in-complete independence ( M=17.5, 15.8% ), 4) in-complete dependence (M=14.8, 13.3%) and 5) dependence and independence (M=14.1, 12.7%). The items for which there was a high level of self-care were 1) drinking (M=3.640), 2) returning (M=2.351) and 3) eating (M=2.351) : and the items for which there was a low level of self -care were : 1) ascending and descending stairs (M=2.351), 2) dressing and undressing trousers (M=2.514) and 3) dressing and undressing jacket (M :2.532). 2. There was a statistically difference between the paralytic status and the level of self- care accord-ing to their demographic characteristics ( F=24. 7056, p(.001). 3. There was no significant difference in the degree of caregiver stress according to patient's demo-graphic characteristics. 4. There was a statistically significant difference in the degree of caregiver stress according to the following demographic characteristics : age (F=7.4189, p(.001), education level (F=5.8336, P(.01), family structure (t=2.10, p(.05) and their relationship with the patient (F=6.5099, P〈.01). 5. There was no significant difference in the degree of caregiver stress according to the level of patient self - care.
Objectives It is well known that problem drinking is associated with alterations of brain structures and functions. Brain functions related to alcohol consumption can be determined by the resting state functional connectivity in various resting state networks (RSNs). This study aims to ascertain the alcohol effect on the structures forming predetermined RSNs by assessing their cortical thickness. Methods Twenty-six abstinent male patients with alcohol dependence and the same number of age-matched healthy control were recruited from an inpatient mental hospital and community. All participants underwent a 3T MRI scan. Averaged cortical thickness of areas constituting 7 RSNs were determined by using FreeSurfer with Yeo atlas derived from cortical parcellation estimated by intrinsic functional connectivity. Results There were significant group differences of mean cortical thicknesses (Cohen's d, corrected p) in ventral attention (1.01, < 0.01), dorsal attention (0.93, 0.01), somatomotor (0.90, 0.01), and visual (0.88, 0.02) networks. We could not find significant group differences in the default mode network. There were also significant group differences of gray matter volumes corrected by head size across the all networks. However, there were no group differences of surface area in each network. Conclusions There are differences in degree and pattern of structural recovery after abstinence across areas forming RSNs. Considering the previous observation that group differences of functional connectivity were significant only in networks related to task-positive networks such as dorsal attention and cognitive control networks, we can explain recovery pattern of cognition and emotion related to the default mode network and the mechanisms for craving and relapse associated with task-positive networks.
Jena, Pratap Kumar;Bandyopadhyay, Chandan;Mathur, Manu Raj;Das, Sagarika
Asian Pacific Journal of Cancer Prevention
/
v.13
no.12
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pp.5959-5963
/
2012
Background: The term 'hardcore' has been applied to use of smoking tobacco and generally referred to as the inability or unwillingness of regular smokers to quit. The component constructs of hardcore except nicotine dependence are product neutral. With the use of 'time to first chew' as a measure of nicotine dependence, hardcore definition can be extended to characterize smokeless tobacco users. Hardcore users respond less to tobacco cessation interventions, and are prone to tobacco induced diseases including cancer. Thus identifying hardcore users would help in estimate the burden of high risk population for tobacco induced diseases. Smokeless tobacco use is predominant and accounts for more than 50% of oral cancer in India. Hence, hardcore chewing information could be used for planning of tobacco and cancer control interventions. The objective of this study was to assess the prevalence and associated factors of hardcore smokeless tobacco use in India. Materials and Methods: Global Adult Tobacco Survey (GATS)-India 2010 data were analyzed to quantify hardcore smokeless tobacco use in India with following five criteria: (1) current daily smokeless tobacco use; (2) no quit attempt in the past 12 months of survey or last quit attempt of less than 24 hours duration; (3) no intention to quit in next 12 months or not interested in quitting; (4) time to first use of smokeless tobacco product within 30 minutes of waking up; and (5) knowledge of smokeless tobacco hazards. Results: The number of hardcore smokeless tobacco users among adult Indians is estimated to be 5% (39.5 million). This group comprises 23.2% of daily smokeless tobacco users. The population prevalence varied from 1.4-9.1% across different national regions of India. Logistic regression modeling indicated age, education and employment status to be the major predictors of hardcore smokeless tobacco use in India. Conclusions: The presence of a huge number (39.5 million) of hardcore smokeless tobacco users is a challenge to tobacco control and cancer prevention in India. There is an unmet need for a universal tobacco cessation programme and intensification of anti-tobacco education in communities.
Objectives: This study furthers the currents understanding of alcohol use disorders, stress, mental health status and suicide among Seoul citizens. This study is to identify differences according to socio-demographic variables and variables which affect stress, mental status and suicide for developing mental health programs. Methods: The study subjects using cluster-stratified sampling method were 1234 adults over 19 years old from 17 dong, S-Ku in Seoul City. A cross-sectional study with face-to-face interview was used to collect data. A questionnaire measuring socio-demographic variables, Symptom Checklist-90-Revised (SCL-90-R) and psychosocial wellbeing index-short form (PWI-SF) was utilized. Results: Three findings in this study were discussed: (1) The prevalence of problem drinking and alcohol dependence and AUDIT score were significantly higher among male, younger age, and high level of education and income; (2) AUDIT score were related with stress, all 9 symptoms of SCL-R and suicide plan; (3) Problem drinkers were more likely to have 2.5 times of anxiety, 3.0 times of hostility, and 2.4 times psychoticism than non alcohol problem drinkers. Alcohol dependence drinkers were more likely to have 1.9 times of high risk group of stress, 4.1 times of obsessive-compulsive, 4.7 times of anxiety, 5.5 times of hostility, and 2.3 times psychoticism than non alcohol dependence drinkers. Conclusion: The findings suggest that the future intervention of Mental Health programs should be carefully designed and tailored by socio-demographic variables.
This study examined the impact of the social features (identification, interaction, information value) and technical features (visibility affordance, metavoicing affordance, social connecting affordance) in live commerce on consumers' attachment, which in turn affects consumers' continued intent to watch live commerce and intent to purchase from the platform. Consumers' attachment was represented by emotional attachment to the live shopping streamer and functional dependence on live commerce. Furthermore, this study investigated the effect of attachment on continuous watching intention and purchase intention. Using a web-based survey and consumers in their 20s and 30s (average age: 30.32) as a sample, this study collected 274 usable responses. The results showed that among the live commerce social system constructs, identification and interaction positively affected emotional attachment to the live commerce streamer. Among the live commerce technical system constructs, visibility affordance and social connecting affordance positively influenced functional dependence on live commerce. Both emotional attachment to the live streamer and functional dependence on live commerce were positively related to a continued intent to watch, which influenced the intent to purchase. This study empirically investigated live commerce based on the socio-technical systems framework and confirmed that both social and technical factors have a significant effect on consumers. This study also identified the impact of live commerce on consumers' attitudes through attachment theory. In addition, it has proved the antecedents and effect of continuous watching of live commerce on purchase behavior by focusing on continuous watching intention where less attention was paid in live commerce research.
The Journal of the Convergence on Culture Technology
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v.8
no.6
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pp.523-529
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2022
This study looked at how children's mental health is affected by Domestic violence and school violence at home and school after Covid-19, as well as how these victim experiences relate to children's mental health. This study surveyed 650 students from 14 middle schools in Wanju, Korea. The moderating effect of smartphone overdependence in the experience of violence and mental health was investigated. Major research findings: First, children's exposure to domestic violence and school violence has a significant impact on smartphone dependence. Second, children's exposure to domestic and school violence has a significant impact on their mental health. Third, it has been demonstrated that smartphone dependence is statistically significant in the relationship between domestic and school violence. Based on these findings, we present a convergent intervention and practice strategy for children in the Covid-19 era to cope with mental health problems and expand the support system.
In recent years, the number and proportion of Korean elderly have grown rapidly, and elderly individuals show a disproportionate risk for poor nutritional status. The purpose of this study was to examine the relationship of sociodemographic background to nutrient intake of persons 65 years of age or older, living in 15 cities in Korea. Data on 1973 subjects (603 males, 1370 females), who participated in the Korean Elderly Nutrition Survey (2000), were analyzed. Their mean age was 72.3 years and their mean body mass index (BMI) was 24.2 kg/$m^2$. Basic sociodemographic data were obtained through personal interviews. The 98-item semi-food frequency questionnaire, developed and previously validated for Korean middle-aged and elderly subjects, was administered. “Percentage of subjects who consumed under 75% Korean RDA,” “number of nutrients consumed below 75% Korean RDA,” “mean nutrient adequacy ratio,” and “nutrient density” were used to determine nutritional status. Male elderly had better nutritional quality than female elderly. Nutritional quality decreased with age, especially in older elderly (over 75). Elderly who were underweight (BMI 〈 20 kg/$m^2$) showed poorer nutritional quality than those who were normal weight (BMI 20∼25 kg/$m^2$) and overweight (BMI $\geq$ 25 kg/$m^2$). Elderly who lived alone had significantly poorer nutritional quality than those who lived with a spouse, and/or with children. Lower education level and economic dependence also showed lower nutritional quality. A stepwise multiple regression analysis was performed to examine the effects of specific sociodemographic factors on nutritional quality. For number of nutrients under 75% RDA as a dependent variable, education level explained 4.8% of the variance, followed by living status, age, body mass index, gender, and living expense support (Model $R^2$ = 0.091). For mean nutrient adequacy ratio as a dependent variable, model $R^2$ was 0.098. Therefore, sociodemographic variables such as gender, age, body mass index, living status, educational level, and economic status influenced elderly nutrition status. These results indicate that an elderly nutrition intervention should focus on subjects who are poorly educated, living alone, age 75 or older, and/or underweight.
To investigate the actual condition of the adult-smoking in Chinan County. I used self-reporting questionnaires among 923 residents living in nine districts selected at random among the sites of eleven eup-myons from December 28. 1998 to January 6. 1999. collected data and analyized using SPSS. The smoking rate of adults in Chinan County was $36.9\%$. There was a significant difference in smoking rate according to the age. gender, education and job among general characteristics. The smoking rate in group of above 40s was about $40\%$ and that of the male took $55.5\%$ which was higher than that of female and the smoking rate of the people having high-school education was the highest$(46.2\%)$. With regard to the career. the smoking rate of the farmers ranked first$(46.1\%)$. Therefore anti-smoking business for smokers should be focused on above 40 years old, males. people having high school education and farmers. As the result of the survey of smoking habits of 340 people who smoke currently, the average smoking begining age was 21.8 and $81.5\%$ among them was between 16-25 years old. $4.4\%$ was under 15. during around the elementary school. Most motives to smoke were as followed; curiosity or taste$(33.6\%)$, relief of stress $(31.2\%)$, peer presure$(26.5\%)$ And considering the amount of the cigarette which is smoked per day, the case which is less than a pack of cigarettes was highest as $75.5\%$ and the people who smoke over one pack of cigarettes took $24.5\%$. As for the kind of tobacco which is smoked, how to smoke and the desire for the smoking, most case was toxin was moderate$(47.8\%)$ or mild$(46.9\%)$. shallowly$(49.0\%)$ or deeply$(46.3\%)$ and under stress$(33.4\%)$. after meals$(27.8\%)$, during drink$(15.7\%)$ and so on. The highest point marked among the factors of smoking motives was 'the reduce of negative emotion' $(3.27\pm1.00)$. followed by 'uncomfortable habits' $(2.87\pm1.02)$, 'addiction' $(2.84\pm1.06)$. 'habit' $(2.74\pm1.12)$. 'pleasure' $(2.70\pm1.04)$. 'stimulus' $(2.59\pm.90)$, 'sensation-exercise satisfaction' $(2.42\pm.97)$. Smokers smoke to reduce the negative emotions when angry in most common case. depressed. anxious. uncomfortable. lone. ashamed or embarrased. and intend to solve the certain problem. etc. Other motives are uncomfortable habit. addiction. habit. pleasure and the pursuit of stimulus. The level of nicotine dependence of adults m Chinan County was 10.57 which amount to 'high' wholly. As the resulf of the level of nicotine dependence score. the people who are low in the level of nicotine was $33.5\%$. the people who are high was $48.2\%$. very high was $18.4\%$. The approach for anti-smoking for smokers should be conducted differently according to the level of the nicotine. For the people who are in low level of nicotin dependence the prohibition of the smoking should be guided through the approach to foster strong will. for those who are in 'high' by acquiring proper method for the prohibition of smoking. and for those who are 'very high' the anti-smoking should be induced by providing proper program because of the possibility of the suffer from abstinence syndrome. The difference of the level of nicotine with the general characteristics of the objects had not statistically significant difference. The difference of the level of nicotine dependence accompanied by smoking habit had statistically significant difference according to the amount of smoke, the kind of tobacos. smoke inhale habit. In other words, the group of heavy smokers had higher level of the nicotine dependence than that of the light smokers relatively and the group which smoke strong taboaco has higher level of nicotine than that of which smoke mild or moderate. And the group of smokers who smoke deeply has higher level of nicotine than that who smoke shallowly or nonswallow. Aa a result of the analysis of the correlation between smoking motive factors and the level of nicotine, there was the indication that people who smoke for the decrease of the negative emotion. habit, pleasure. stimulus. sensation-exercise satisfaction had high level of the nicotine dependence. As the result of the anti-smoking will of smokers. $65.0\%$ of them had prohibition of smoking will. $29.3\%$ had no will to quit smoke. The most important reason for anti-smoking was health. $67.9\%$ had experience to try to quit smoke and the biggest reason to fail to quit smoking was the lack of the will power to keep anti-smoking. $52.8\%$ of them were advised to stop smoking from their spouses or children. only $2.8\%$ were by medical. The people who have the opinion to need anti-smoking education were $69.6\%$. Therefore when the business for the hygine of the mouth for adult is set. it should be centered on the people who have intention of prohibition of the smoking and help to quit smoking by way of other affirmative counter-program not smoking under stress.
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