Objectives: This study was performed to examine the clustering of lifestyle risk factors for chronic diseases in urban poor and rural adults. Methods: As a cross-sectional study, a questionnaire survey was conducted in 2003. Data was collected from 468 urban poor adults and 385 rural adults. And 848 persons data was used for final analysis. We surveyed their smoking habit alcohol consumption, exercise habit education and disease histories. Result: In mea about 25% of the urban poor subjects and about 20% of the rural subjects had three lifestyle risk factors(Prevalence ratio was 1.29). And, in women, about 1.5% of the urban poor subjects and about 0.5% of the rural subjects had three lifestyle risk factors(Prevalence ratio was 4.00). Especially in men, clustering of smoking and excessive alcohol consumption was strongest both the urban poor and rural subjects(Observed/Expected ratio(O/E): 1.4 in the urban poor subjects, 1.3 in the rural subjects). Conclusions: These findings show that the lifestyle risk factors cluster among the urban poor and rural adults. And the clustering is stronger in the urban poor adults than the rural adults. This tendency was important for health education and health promotion. We suggest that more intensive health promotion strategies for the urban poor adults are needed.
Purpose: The aims of this study were to develope a structural model of health insensitivity and to verify the model of health insensitivity. Method: There were three theoretical variables in the hypothetical model. The endogenous variable was health insensitivity which is a concept including bluntness of health risk perception and unhealthy behavior. The exogenous variables were composed of personal factors and socio-cultural factors. In personal factors, neuroticism, external health locus of control, blunting style of information-seeking, deficit of self-efficacy, knowledge deficit related to health, health-related experience, age and education were included. Whereas socio-cultural factors include perceived group size of unhealthy behavior and stereotypes of unhealthy behavior. Result: Personal factors and sociocultural factors were significant in explanation of the health insensitivity. Relationship between personal factors and sociocultural factors was significant, too. However, the optimistic bias as part of health insensitivity was not supported by these data. GFI, AGFI and PGFI were .95, .92, .65, respectively. Therefore, this model was verified to be a good fit to the data and parsimonious. Conclusion: Nursing to change unhealthy behavior has focused on personal factors rather than sociocultural factors. Based on this result, however, the sociocultural factors should be considered as well.
The purpose of this study was to investigate the effect of nutrition counseling on improving metabolic syndrome (MS) risk factors. Sixty-eight subjects were grouped according to their numbers of MS risk factors. Subjects who have three or more risk factors of MS were defined as "High risk", subjects who have two risk factors of MS were defined as "low risk", and subjects who have below two risk factors of MS were defined as "no risk" group. All groups finished nutrition counseling every three weeks for 12 weeks. Anthropometric, dietary assessments (24 hr-recall) and blood samples were measured at 0 and 12 weeks nutrition counseling. After 12 weeks of intervention, anthropometric data (weight, BMl, body fat (%), and waist/hip ratio) were significantly decreased (p < 0.05) in all groups. Daily consumption of calorie was decreased significantly (p < 0.05) in the group of low risk and high risk. Blood level of fasting plasma glucose was significantly decreased (p < 0.001) in all groups after 12 weeks of intervention. Significantly, the fasting plasma glucose level was returned to normal range in the high risk group. The number of people who have three or more risk factors of MS (high risk group) was decreased from 25 to 12. Sum of MS Criteria decreased from 85 to 52 in the group of MS and decreased from 143 to 99 in all groups. These results indicate that nutrition counseling for male workers at the worksite proved to be helpful by reducing the risk factors of MS and thereby reducing the risk of cardiovascular disease. Continuing and systematic nutritional management programs should be developed and implemented for male workers at the worksites.
Purpose: Emergency operations for perforated peptic ulcer are associated with a high incidence of postoperative complications. While several studies have investigated the impact of perioperative risk factors and underlying diseases on the postoperative morbidity after abdominal surgery, only a few have analyzed their role in perforated peptic ulcer disease. The purpose of this study was to determine any possible associations between postoperative morbidity and comorbid disease or perioperative risk factors in perforated peptic ulcer. Materials and Methods: In total, 142 consecutive patients, who underwent surgery for perforated peptic ulcer, at a single institution, between January 2005 and October 2010 were included in this study. The clinical data concerning the patient characteristics, operative methods, and complications were collected retrospectively. Results: The postoperative morbidity rate associated with perforated peptic ulcer operations was 36.6% (52/142). Univariate analysis revealed that a long operating time, the open surgical method, age (${\geq}60$), sex (female), high American Society of Anesthesiologists (ASA) score and presence of preoperative shock were significant perioperative risk factors for postoperative morbidity. Significant comorbid risk factors included hypertension, diabetes mellitus and pulmonary disease. Multivariate analysis revealed a long operating time, the open surgical method, high ASA score and the presence of preoperative shock were all independent risk factors for the postoperative morbidity in perforated peptic ulcer. Conclusions: A high ASA score, preoperative shock, open surgery and long operating time of more than 150 minutes are high risk factors for morbidity. However, there is no association between postoperative morbidity and comorbid disease in patients with a perforated peptic ulcer.
Purpose: The purpose of this study was to provide the basic data of a comprehensive counter-plan to promote health for people by comparing various factors related to cancer outbreak factors including general characteristics, health-related lifestyles, health promoting behaviors, perceived healthy status, life event stress and health care seeking behaviors with cancer patients and health people. Method: The study was designed to be a retrospective-comparison-survey-study and its data was collected through 5 types of questionnaires from September 2003 to December 2003. Results: Cancer patients had lower education and household income, and many of them had no occupation. Cancer patients had a higher rate of smoking and drinking periods. Exercise level was higher in healthy people. However, Cancer patients were better in sleep and rest. In comparison with health promoting behaviors, it was higher in healthy people than in cancer patients but the two groups had no significant differences statistically. The perceived health status was higher in healthy people than in cancer patients. The health care seeking behaviors were higher in healthy people than in cancer patients. Cancer patients and healthy people's life event stress had no significant differences statistically. Conclusion: As a result of comparative analysis of cancer patients and healthy people's health risk factors, smoking, drinking period, regular exercise and health care seeking behaviors were suggested as direct or indirect risk factors for cancer patients. These finding can be applied to health promoting behavior programs to keep and promote optimal health status as well as to prevent cancer disease.
The Journal of Korean Academic Society of Nursing Education
/
v.29
no.1
/
pp.31-60
/
2023
Purpose: This study explored the influencing factors on suicide-related behaviors (ideation, plans, and attempts) focusing on mental health problems (anxiety, depression, and loneliness) among Korean adolescents. Methods: A secondary analysis was conducted with data from the 16th Korean Youth Health Behavior Survey collected from in 2020 by the Korea Centers for Disease Control and Prevention. Chi-square tests and multivariate logistic regression analyses were performed. Results: After the adjustment of demographic characteristics and health risk behaviors, the influences of mental health problems on suicidal ideation, plans, and attempts showed the anxiety odds ratio (OR) for severe anxiety vs. minimal (OR 4.65, 4.67, and 3.75), depression (OR 4.27, 3.69, and 4.49), loneliness (OR 2.18, 1.96, and 1.96). Health risk behaviors (violence experience, drug use, stress, smoking, and drinking alcohol) and demographic variables (gender, school record, and socioeconomic status) were also significantly associated with suicide-related behaviors. Conclusion: Anxiety, depression, and loneliness were strong predictors of suicide-related behaviors. Early detection of suicide risks through screening for comprehensive mental health problems was recommended. Suicide prevention that considers the risk factors, including mental health problems and other risk factors, needs to be developed and implemented to reduce suicide risks among adolescents.
Purpose: Cardiovascular risk factor modification is important for patients with coronary artery disease to prevent poor progression of the disease. Without an understanding and an awareness of risk factors, patients with coronary artery disease are not able to reduce their risk by the lifestyle modification. The aims of this study were to assess patient's awareness of risk factors and to identify predictors of awareness of risk factors. Methods: A descriptive correlational study using a cross-sectional survey method was performed. The sites of the study were three hospitals in Seoul, Korea. The sample consisted of 214 subjects. The awareness of risk factors and other subjects' characteristics were measured by a questionnaire developed for this study. Results: A range of subjects (gender: 72.0%; hyperlipidemia: 51.9%; hypertension: 40.7%; obese: 37.4%; age: 35.5%; smoking: 22.4%; diabetes: 19.2%; family history: 18.2%) were not able to accurately identify the risk factors. Among predictors, gender (${\beta}$=-.17) and diabetics (${\beta}$=-.25) had statistically significant influences on awareness of risk factors. Conclusion: Our findings highlight the lack of awareness of risk factors for coronary artery disease. The findings have important implications for nursing practice in terms of guiding educational strategies for the modification of risk factors for coronary heart disease.
Objective: To study the level of awareness and knowledge about cancers and associated risk factors among households in selected states of India. Methods: In the study 3070 households were interviewed from six states viz, West Bengal, Kerala, Madhya Pradesh, Rajasthan and Mizoram. Results: Knowledge of cancers other than those related to tobacco was very low (prostate 8%, colon 11% ) among the communities, with a poor awareness of warning signs and symptoms. The knowledge varied from state to state. It is found that the major source of information related to cancers was television (38%) followed by friends and relatives (36%). Only about 15 % of respondents had knowledge about cancer awareness camps organized in their districts but they did not have knowledge about the organizers of the camp. Findings suggested a strong need for strengthening of DCCP. Conclusion: It is important to create awareness among community through educational programs on cancer prevention, preventable cancer risk factors, benefits of early diagnosis, and availability of screening facilities. Integration of District Cancer Control activities with NRHM could be the most cost-effective strategy to prevent cancers and rural population.
Purpose: This study aimed to investigate the factors that increase fall risk in the residential environment and the perceived fall risk among community-dwelling elderly through comparisons between fallers and non-fallers. Methods: The subjects were 95 community-dwelling elderly aged 65 years and over residing in the metropolitan city of Ulsan. A structured questionnaire consisting of items on sociodemographics and health- and fall-related characteristics was used and data were collected from July to August 2015. The data were analyzed with the SPSS/WIN program. Results: Among recent fallers, 38.9% had diagnosed diseases when the fall occurred, 56.87% were fearful of a recurrent fall, and 86.5% stated that they were increasing their carefulness but that had led to a decrease in activity. There were significant differences between elders who had fallen at least once and elders who had no falls in age, health status, depression, the experience of falling, fear of falling, diseases, and medications. Conclusion: The results indicate a need to assess risk factors to identify older adults with a high risk for falling and the need to develop multifactorial intervention programs that consider both environmental and perceived risk factors as well as physical risk factors to reduce and prevent falls among the elderly.
Purpose: The purpose of this study was to investigate the factors that increase of the risk for falls in low-income elders in urban areas. Methods: The participants were elderly people registered in one of public health centers in one city. Data were collected by interviewing the elders, assessing their environmental risk factors, and surveying relevant secondary data from the public health center records. For data analysis, descriptive statistics and multiple logistic regression were performed using SPSS version 14. Results: Stroke, diabetes, visual deficits, frequency of dizziness, use of assistive devices and moderate depression were statistically significant risk factors. The comorbidity of chronic diseases with other factors including depression, visual deficit, dizziness, and use of assistive devices significantly increased the risk of falls. From multiple logistic regression analysis, statistically significant predictors of falls were found to be stroke, total environmental risk scores, comorbiditiy of diabetes with visual deficits, and with depression. Conclusion: Fall prevention interventions should be multifactorial, especially for the elders with stroke or diabetes, who were identified in this study as the high risk group for falls. A fall risk assessment tool for low-income elders should include both the intrinsic factors like depression, dizziness, and use of assistive devices, and the extrinsic factors.
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