• Title/Summary/Keyword: Health Risk Factor

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Health Behavior and Influencing Factors in Patients with Coronary Artery Disease Admitted to Hospital (입원한 관상동맥질환자의 건강행위 영향 요인)

  • Kang, Kyung-Ja;Yu, Su-Jeong
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.17 no.1
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    • pp.16-25
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    • 2010
  • Purpose: The purpose of this study was to identify the impact that health motivation, stage of change and cardiac risk factors have on health behaviors in Korean patients with coronary artery disease(CAD) admitted to hospital. Method: The participants in this study were 127 patients with CAD hospitalized between May 2008 and July 2009. A structured questionnaire with personal interviews and chart reviews were used to collect data. Data were analyzed using the SPSS. Results: Of the relatively significant factors, including a stage of change, self efficacy, modifiable risk factor score, and perceived barriers, stage of change was found to be the most significant predictor of health behavior in patients with CAD. These variables accounted for 48.2% of the variance in health behavior. Conclusion: The results of the study indicate the necessity of developing a cardiac rehabilitation program for use in their daily lives after discharge from the hospital. Stage of change should be assessed for all patients with CAD being discharged from acute care hospitals.

The Assessment of Occupational Injuries of Workers in Pakistan

  • Noman, Muhammad;Mujahid, Nooreen;Fatima, Ambreen
    • Safety and Health at Work
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    • v.12 no.4
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    • pp.452-461
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    • 2021
  • Background: The prevailing global work scenario and deteriorating health facilities in economies indulge the risk perspective in the labor market model. This is the reason that the risk factor is cautiously attributed to wages and labor market efficiencies specifically in developing and emerging economies. In this respect, Occupational Injuries of Workers (OIW) is considered essential to demonstrate the risk and Occupational Health and Safety (OHS) setups given the constraints of the labor. Intuitively, the prime objective of this study is to make an assessment of the labor market considering the OIW through the indicators of industry division, employment status, occupational distribution, adopted treatment, gender and regionality. Methods: The assessment strategy of the study has been categorized into trend analysis and Index Value Calculation (IVC) segments employing the data from 2001 to 2018. Results: The pattern of the selected indicators of the OIW has been observed in the available data while the IVC estimations are considered through time and reference categories. The findings of both exercises revealed absolute and relative heterogeneities at both industry and occupational levels. Conclusion: The consistency for gender and regional distribution of both assessments points out the need for effective policy initiatives. The study suggests separate analyses of industry and occupations for a better understanding of the OHS setups and up-gradation in Pakistan.

Relationship among the Korean Adolescents Obesity, Health Behavior and Smart phone Usage (청소년의 건강행태 및 스마트폰 사용 특성과 비만과의 관련성)

  • Park, Min Hee;Song, Hye Young
    • Journal of Korean Public Health Nursing
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    • v.33 no.1
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    • pp.47-58
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    • 2019
  • Purpose: Regarding the rapid growth of the obesity in Korea's youths, environmental factors as well as biological tendencies have been major focus of years of study. Methods: This study, as a secondary analysis research, bases its source upon the raw data from the 13th on-line survey of the Korean adolescents' health behaviors. In particular, it is a descriptive research for clarifying the relevance of the Korean youths' smart phone use with their health behaviors and obesity. Results: In logistic analysis, variables showing a significant difference are as follows: soft drinks frequency(p<.001), sweet drinks intake frequency(p<.001), fast food intake frequency(p<.001) and smoking status (p=.005). Based on the amount of time the teenagers using smart phones, there have been different results in the risk of obesity. Four to six hours a week of smart phone use (p=.002) has a 1.132 times higher risk, six to eight hours(p<.001) are 1.212 times higher, over eight hours(p=.020) are 1.132 times higher, than less than two hours'. Conclusion: This study has significance in that it has emphasized the new lifestyle, teenagers' smart phone use, as an additional important factor for the increased risk of obesity.

Associations between Habitual Drug Use and Loneliness in Korean Adolescents: Secondary Data Analysis of the 2020 Youth Health Risk Behavior Web-Based Survey (청소년의 습관적 약물사용과 외로움의 관계: 2020 청소년 건강행태 온라인조사를 이용한 2차 자료분석)

  • Nam, Eunjeong;Lee, Jinhwa;Kwon, Min
    • Journal of the Korean Society of School Health
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    • v.34 no.3
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    • pp.161-169
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    • 2021
  • Purpose: The purpose of the study was to investigate the effect of loneliness on habitual drug use in Korean adolescents. Methods: The study was designed as a cross-sectional study. Using statistics from the 16th (2020) Korea Youth Risk Behavior Web-based Survey, multiple logistic regression analysis was conducted. A total 54,948 adolescents were included in the analysis. Results: Adolescents were more likely to engage in habitual drug use when they were lonely than when they were not (OR: 1.55, 95% CI: 1.20~2.02). As for sociodemographic characteristics, gender, academic achievement, and living with family were factors influencing habitual drug use. As for health behavior characteristics, perceived stress, depression, current drinking, violence, sexual intercourse, and perceived health were identified as factors affecting habitual drug use. Conclusion: Provision of education that includes loneliness as a factor, which was not previously considered important in school education for preventing habitual drug use of adolescents, should be considered.

Sun Exposure and the Risk of Prostate Cancer in the Singapore Prostate Cancer Study: a Case-control Study

  • Chia, Sin-Eng;Wong, Kin-Yoke;Cheng, Christopher;Lau, Weber;Tan, Puay-Hoon
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.7
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    • pp.3179-3185
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    • 2012
  • Background: Most of the epidemiology studies on the effects of sun exposure and prostate cancer were conducted among the temperate countries of North America and Europe. Little is known about the influence on Asian populations. The purpose of current study was to evaluate any association of sun exposure with risk of prostate cancer in Chinese, Malays and Indians who reside in the tropics. Methods: The Singapore Prostate Cancer Study is a hospital-based case-control study of 240 prostate cancer incident cases and 268 controls conducted in Singapore between April 2007 and May 2009. Detailed information on outdoor activities in the sun, skin colour, sun sensitivity and other possible risk factors were collected in personal interviews. Cases were further classified by Gleason scores and TNM staging. Odds ratios (OR) and 95% confidence intervals (CI) were calculated using unconditional logistic regression analysis, adjusted for age, ethnicity, education, family history of any cancers, BMI and skin colour. Results: We found that prostate cancer risk was increased in subjects with black/dark-brown eyes (OR 5.88, 95%CI 3.17-10.9), darker skin colour e.g. tan/dark brown/black (OR 7.62, 95%CI 3.41-17.0), frequent sunburn in lifetime (OR 4.30, 95%CI 1.7-11.2) and increased general sun exposure in adulthood per week (OR 2.03, 95%CI 1.09-3.81). The increased risk was consistent for high grade tumours and advanced stage prostate cancers. Conclusion: The findings from this study suggest that excessive sun exposure is a risk factor for prostate cancer in Asians.

Musculoskeletal Symptoms Prevalence and Its Related Factors of Workers in Manufacturing Industry of Automobile Parts in Gimhae City (김해시 자동차 부품 생산직 근로자의 근골격계 증상 유병률과 관련요인)

  • Park, Su-Hyung;Moon, Deog-Hwan;Kim, Chi-Hyok
    • The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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    • v.19 no.1
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    • pp.9-20
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    • 2013
  • Background: This study was conducted to provide preventive measure for the musculoskeletal disorders in automobile parts manufacturing workers. Method: The author surveyed to the musculoskeletal symptoms prevalence and its related factors from 10th to 17th April 2011 with structured self administered questionnaires. 223 out of 225 collected questionnaires were used for final analysis, excluding 2 questionnaires with no valid response. Based on the diagnostic criteria of NIOSH (National Institute for Occupational and Health), an investigation was made into the prevalence of musculoskeletal symptoms as well as into the factors related to individual items. Results: The prevalence of musculoskeletal symptoms according to the criteria of NIOSH was the highest in the shoulder (52.9%), followed by the neck (39.%), the hand/wrist (35%), the waist (29.6%), the arm/elbow (24.7%), and the leg/food (23.8%). One-way analysis showed that among general characteristics, age was the musculoskeletal risk factor with the greatest effect. Whereas among work-related characteristics, significant risk factor didn't find. Yet it was shown that among ergonomic work postures, high degree of musculoskeletal risk was shown by the posture involving frequent and repetitive movement of the arm and the hand/wrist and also by the posture involving standing for a long time. Multiple regression analysis showed that musculoskeletal risk was 1.795 times higher in those age 50 and over than in those under age 50; 1.67 times higher in the high risk stress group than in the low risk stress group; and 1.131 higher in the group involving the repetitive use of the hand/arm than in the other groups (p<.05). Conclusion: The prevalence and stress score of automobile parts manufacturing workers were higher than other occupation workers. Among general characteristics, drinking and smoking were shown to be related to stress score; while age was shown to have significant effect on musculoskeletal risk.

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Tobacco Smoke Exposure and Breast Cancer Risk in Thai Urban Females

  • Pimhanam, Chaisak;Sangrajrang, Suleeporn;Ekpanyaskul, Chatchai
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.17
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    • pp.7407-7411
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    • 2014
  • The incidence of urban female breast cancer has been continuously increasing over the past decade with unknown etiology. One hypothesis for this increase is carcinogen exposure from tobacco. Therefore, the objective of this study was to investigate the risk of urban female breast cancer from tobacco smoke exposure. The matched case control study was conducted among Thai females, aged 17-76 years and living in Bangkok or its surrounding areas. A total of 444 pairs of cases and controls were recruited from the Thai National Cancer Institute. Cases were newly diagnosed and histologically confirmed as breast cancer while controls were selected from healthy women who visited a patient, matched by age ${\pm}5$ years. After obtaining informed consent, tobacco smoke exposure data and information on other potential risk factors were collected by interview. The analysis was performed by conditional logistic regression, and presented with odds ratio (ORs) and 95% confidence intervals(CI). From all subjects, 3.8% of cases and 3.4% of controls were active smokers while 11.0% of cases and 6.1% of controls were passive smokers. The highest to lowest sources of passive tobacco smoke were from spouses (40.8%), the workplace (36.8%) and public areas (26.3%), respectively. After adjusting for other potential risk factors or confounders, females with frequent low-dose passive smoke exposure (${\leq}7$ hours per week) from a spouse or workplace had adjusted odds ratio 3.77 (95%CI=1.11-12.82) and 4.02 (95%CI=1.04-15.50) higher risk of breast cancer compared with non-smokers, respectively. However, this study did not find any association of breast cancer risk in high dose passive tobacco smoke exposure, or a dose response relationship in cumulative passive tobacco smoke exposure per week, or in the active smoker group. In conclusion, passive smoke exposure may be one important risk factor of urban female breast cancer, particularly, from a spouse or workplace. This risk factor highlights the importance of avoiding tobacco smoke exposure as a key measure for breast cancer prevention and control.

The Change of the Fracture Risk by a Fracture Risk Factor in the FRAX Tool (FRAX Tool에서 골절위험인자에 따른 골절위험도의 변화)

  • Song, Hyeon-Seok;Lee, Hyo-Yeong;Yun, Jong-Jun;Lee, Hwa-Jin;Lee, Moo-Seok;Park, Sae-Yoon;Jeong, Ji-Wook
    • The Korean Journal of Nuclear Medicine Technology
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    • v.13 no.3
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    • pp.132-136
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    • 2009
  • Purpose: WHO(world health organization) announced the FRAX Tool(fracture risk assessment) of new software in the beginning of 2008. FRAX Tool was considered various risk factor, being different from existing fracture risk. In this study, we wanted to know the fracture risk of following the changing of the risk factor of fracture. Materials and Methods: A total of 50 women aged 50~60 were studied. We measured BMD at the part of femur neck which was based on the age, weight, height of individual with GE, Lunar-prodigy. The control group is fracture risk without considering fracture risk factor. The experimental group is previous fracture, parent fracture, current smoking, glucocorticoid, rheumatoid arthritis, secondary osteoporosis, alcohol. if each items makes one 'existence', others are all 'nothing'. and the results produced major osteoporotic region and hip fracture risk in 10-years. Statistics used t-test of SPSS 12.0. Results: The average rate of increment of major osteoporotic region between control group and experimental group, previous fracture-74% increase, parent fracture-96% increase, current smoking-2% increase, glucocorticoid-61% increase, rheumatoid arthritis-29% increase, alcohol-20% increase, secondary osteoporosis-0.18% decrease. The average rate of increment of hip region between control group and experimental group, previous fracture-84% increase, parent fracture-5% increase, current smoking-72% increase, glucocorticoid-84% increase, rheumatoid arthritis-40% increase, alcohol-52% increase, secondary osteoporosis-1.69% decrease. Conclusions: Each fracture risk factor has different rate of increment between major osteoporotic and hip region while in occasion of the second osteoporosis it has little relation because of low P-value. We could know that a contribution of the risk factor is different between major osteoporotic and hip region.

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Tumor Necrosis Factor-α Gene Polymorphisms and Risk of Oral Cancer: Evidence from a Meta-analysis

  • Chen, Fang-Chun;Zhang, Fan;Zhang, Zhi-Jiao;Meng, Si-Ying;Wang, Yang;Xiang, Xue-Rong;Wang, Chun;Tang, Yu-Ying
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.12
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    • pp.7243-7249
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    • 2013
  • Numerous studies have been conducted regarding association between TNF-${\alpha}$ and oral cancer risk, but the results remain controversial. The present meta-analysis is performed to acquire a more precise estimation of relationships. Databases of Pubmed, the Cochrane library and the China National Knowledge Internet (CNKI) were retrieved until August 10, 2013. Pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated with fixed- or random-effect models. The heterogeneity assumption was assessed by I-squared test. Among the eight included case-control studies, all were focused on TNF-${\alpha}$-308G>A and four also concerned the TNF-${\alpha}$-238G>A polymorphism. It was found that oral cancer risk were significant decreased with the TNF-${\alpha}$-308G>A polymorphism in the additive genetic model (GG vs. AA, OR=0.19, 95% CI: [0.04, 1.00], P=0.05, I2=68.9%) and the dominant genetic model (GG+GA vs. AA, OR=0.22, 95% CI: [0.06, 0.82], P=0.03, I2=52.4%); however, no significant association was observed in allele contrast (G vs. A, OR=0.70, 95% CI: [0.23, 2.16], P=0.54, I2=95.9%) and recessive genetic models (GG vs. GA+AA, OR=0.72, 95% CI: [0.33, 1.57], P=0.41, I2=93.1%). For the TNF-${\alpha}$-238G>A polymorphism, significant associations with oral cancer risk were found in the allele contrast (G vs. A, OR=2.75, 95% CI: [1.25, 6.04], P=0.01, I2=0.0%) and recessive genetic models (GG vs. GA+AA, OR=2.23, 95%CI: [1.18, 4.23], P=0.01, I2=0.0%). Conclusively, this meta-analysis indicates that TNF-${\alpha}$ polymorphisms may contribute to the risk of oral cancer. Allele G and the GG+GA genotype of TNF-${\alpha}$-308G>A may decrease the risk of oral cancer, while allele G and the GG genotype of TNF-${\alpha}$-238G>A may cause an increase.

Effects of a mobile healthcare service provided by public health centers on practicing of health behaviors and health risk factors

  • Kim, Tae-Yon;Lee, Yun-Su;Yu, Eun-Jung;Kim, Min-Su;Yang, Sun-Young;Hur, Yang-Im;Kang, Jae-Heon
    • Nutrition Research and Practice
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    • v.13 no.6
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    • pp.509-520
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    • 2019
  • BACKGROUND/OBJECTIVES: This study evaluated whether a mobile health (mHealth) application can instigate healthy behavioral changes and improvements in metabolic disorders in individuals with metabolic abnormalities. SUBJECTS/METHODS: Participants were divided into an mHealth intervention group (IG), which used a mobile app for 24 weeks, and a conventional IG. All mobile apps featured activity monitors, with blood pressure and glucose monitors, and body-composition measuring devices. The two groups were compared after 24 weeks in terms of health-behavior practice rate and changes in the proportion of people with health risks, and health behaviors performed by the IG that contributed to reductions in more than one health risk factor were analyzed using multiple logistic regression. RESULTS: Preference for low-sodium diet, reading nutritional facts, having breakfast, and performing moderate physical activity significantly increased in the mHealth IG. Furthermore, the mHealth IG showed a significant increase of eight items in the mini-dietary assessment; particularly, the items "I eat at least two types of vegetables of various colors at every meal" and "I consume dairies, such as milk, yogurt, and cheese, every day." The proportion of people with health risks, with the exception of fasting glucose, significantly decreased in the mHealth IG, while only the proportion of people with at-risk triglycerides and waist circumference of females significantly decreased in the control group. Finally, compared to those who did not show improvements of health risks, those who showed improvements of health risks in the mHealth IG had an odds ratio of 1.61 for moderate to vigorous physical activity, 1.65 for "I do not add more salt or soy sauce in my food," and 1.77 for "I remove fat in my meat before eating." CONCLUSIONS: The findings suggest that the additional use of a community-based mHealth service through a mobile application is effective for improving health behaviors and lowering metabolic risks in Koreans.