1.Bone Stress Injuries in Runners: a Review for Raising Interest in Stress Fractures in Korea
Journal of Korean Medical Science 2020;35(8):38-
A bone stress injury (BSI) means that the bones cannot tolerate repeated mechanical loads, resulting in structural fatigue and local bone pain. A delay in BSI diagnosis can lead to more serious injuries, such as stress fractures that require longer treatment periods. Therefore, early detection of BSI is an essential part of management. Risk factors for BSI development include biological and biomechanical factors. Medical history and physical examination are the basics for a BSI diagnosis, and magnetic resonance imaging is helpful for confirming and grading. In this paper, the authors review the overall content of BSI and stress fractures which are common in runners. Through this review, we hope that interest in stress fractures will be raised in Korea and that active researches will be conducted.
Diagnosis
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Fatigue
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Fractures, Stress
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Hope
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Korea
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Magnetic Resonance Imaging
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Physical Examination
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Risk Factors
2.Hermeneutic Phenomenological Study on the Experiences of Employment of Married North Korean Women Defectors Rearing Children
Journal of Korean Academy of Nursing 2020;50(1):39-51
PURPOSE: This study aimed to understand the experiences of married North Korean women's child-rearing, working lives, and their home and work environment in depth.METHODS: This study adopted van Manen's hermeneutic phenomenological method to qualitatively analyze data. The participants were 8 married North Korean women defectors. Data were collected through in-depth interviews and observations from July 4 to August 20, 2018.RESULTS: Nine essential themes emerged: more personal challenges after overcoming a life-threatening crisis; hopes of firmly settling in this land; the wound from the north, which chased them here; a body that becomes stronger through hardship; being stuck in a past full of anxiety and pain; the present is full of hope; hope for the future; sense of alienation from coworkers that cannot be overcome; and sense of power to endure an exhausting work life.CONCLUSION: This study provided a broader understanding of the life and experiences of married women from North Korea. It highlights the need for nurses to recognize their importance in nursing care. The study also suggests that academic and practical approaches for nursing, and basic data for a nursing intervention for married women from North Korea be provided. The study findings can be used as a basis for preparing a national policy that will help North Korean defectors to find employment and gain stability.
Anxiety
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Child
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Democratic People's Republic of Korea
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Emigrants and Immigrants
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Employment
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Female
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Hermeneutics
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Hope
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Humans
;
Methods
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Nursing
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Nursing Care
;
Qualitative Research
;
Wounds and Injuries
3.Upcoming Aging Society and Men's Health: Focus on Clinical Implications of Exercise and Lifestyle Modification
The World Journal of Men's Health 2020;38(1):24-31
hope to shed light on the influence of lifestyle modifications and their clinical implications on men's health.]]>
Aging
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Hope
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Humans
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Life Style
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Male
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Men's Health
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Quality of Life
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Risk Factors
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Testosterone
4.Understanding hope and spiritual wellbeing of Filipino caregivers of terminally-Ill cancer patients
Zenaida H. Concepcion ; Sheila Bonito
Philippine Journal of Nursing 2020;90(1):47-50
This descriptive correlational study determined the level of hope and spiritual wellbeing among Filipino caregivers of terminally-ill cancer patients, and the relationship of hope and spiritual wellbeing to various patient and caregiver characteristics. The study involved 50 caregivers of terminally-ill-cancer patients, mostly belonging to 51-60 age group (42%) with mean age of 44 years (SD=15), mostly females (72%), married (62%), Roman Catholic (90%), high school graduates (50%), spouses of patients (28%), with an average of 18.36 hours of caregiving in a day for an average duration of 21.4 months. The hope and spirituality scores of caregivers were 3.24 (SD=0.28) and 3.25 (SD=0.46) respectively. Caregivers had high self-efficacy (3.29) but low social support (1.72). Patient's age was moderately correlated with caregiver's hope (r=0.3; p=0.03). Caregiver's educational attainment was significantly associated with hope (p<0.01) and spiritual wellbeing (p<0.01). Caregiver's self-efficacy was moderately correlated with their spiritual wellbeing (r=0.46, p<0.01). Caregiver's hopes were (1) for their patients to get well and recover from their illness, (2) to have strong spiritual faith and be healed with God's help (3) to be hopeful and positive, (4) hope for longer life, (5) resumption of family relations, and (6) free of pain and other discomforts. Caregivers' thoughts on spiritual wellbeing were to have: (1) stronger faith, (2) being prayerful, and (3) being positive. Compared to other studies, Filipino caregivers had lower hope scores, but higher spiritual wellbeing scores. Nursing interventions promoting hope and spiritual wellbeing should be conducted in patients' room, clinic appointments, or during home visits. Nursing care promoting hope and spiritual wellbeing should be part of patients' activities for daily living.
Humans
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Female
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Adult
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Caregivers
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Spirituality
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Family Relations
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Spouses
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Self Efficacy
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Catholicism
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Patients'
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Rooms
;
House Calls
;
Terminally Ill
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Hope
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Marriage
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Spiritual Therapies
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Social Support
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Neoplasms
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Pain
;
Schools
5.Conditional Survival Estimates Improve Over Time for Patients with Hepatocellular Carcinoma: An Analysis for Nationwide Korea Cancer Registry Database
Jae Seung LEE ; In Rae CHO ; Hye Won LEE ; Mi Young JEON ; Tae Seop LIM ; Oidov BAATARKHUU ; Do Young KIM ; Kwang Hyub HAN ; Jun Yong PARK
Cancer Research and Treatment 2019;51(4):1347-1356
PURPOSE: Conditional survival estimates (CSE) can provide additional useful prognostic information on the period of survival after diagnosis, which helps in counseling patients with cancer on their individual prognoses. This study aimed to analyze conditional survival (CS) for hepatocellular carcinoma (HCC) using a Korean national registry. MATERIALS AND METHODS: Patients with HCC, registered in the Korean cancer registry database, were retrospectively reviewed. Overall survival (OS) was calculated using the Kaplan-Meier method. The 1-year CS at X year or month after diagnosis were calculated as CS₁=OS((X+1))/OS((X)). CS calculations were performed in each Barcelona Clinic Liver Cancer stage, after which patients at stage 0, A, and B underwent subgroup analysis using initial treatment methods. RESULTS: A total of 4,063 patients diagnosed with HCC from January 2008 to December 2010, and 2,721 who were diagnosed from January 2011 to December 2012, were separately reviewed. In 2008-2010, the 1-year CS of 1, 2, 3, 4, and 5-year survivors was 82.9%, 85.1%, 88.3%, 88.0%, and 88.6%, respectively. Patients demonstrated an increase in CSE over time in subgroup analysis, especially in the advanced stages. In 2011-2012, the 1-year CS of 6, 12, 18, 24, 30, and 36 months was 81.5%, 83.8%, 85.3%, 85.5%, 86.5%, and 88.8%, respectively. The subgroup analysis showed the same tendency towards increased CSE in the advanced stages. CONCLUSION: Overall, the CS improved with each additional year after diagnosis in both groups. CSE may therefore provide a more accurate prognosis and hopeful message to patients who are surviving with or after treatment.
Carcinoma, Hepatocellular
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Counseling
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Diagnosis
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Hope
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Humans
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Korea
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Liver Neoplasms
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Methods
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Prognosis
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Republic of Korea
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Retrospective Studies
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Survivors
6.Network meta-analysis: application and practice using R software
Sung Ryul SHIM ; Seong Jang KIM ; Jonghoo LEE ; Gerta RÜCKER
Epidemiology and Health 2019;41(1):e2019013-
The objective of this study is to describe the general approaches to network meta-analysis that are available for quantitative data synthesis using R software. We conducted a network meta-analysis using two approaches: Bayesian and frequentist methods. The corresponding R packages were “gemtc” for the Bayesian approach and “netmeta” for the frequentist approach. In estimating a network meta-analysis model using a Bayesian framework, the “rjags” package is a common tool. “rjags” implements Markov chain Monte Carlo simulation with a graphical output. The estimated overall effect sizes, test for heterogeneity, moderator effects, and publication bias were reported using R software. The authors focus on two flexible models, Bayesian and frequentist, to determine overall effect sizes in network meta-analysis. This study focused on the practical methods of network meta-analysis rather than theoretical concepts, making the material easy to understand for Korean researchers who did not major in statistics. The authors hope that this study will help many Korean researchers to perform network meta-analyses and conduct related research more easily with R software.
Bayes Theorem
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Hope
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Markov Chains
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Population Characteristics
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Publication Bias
7.Intervention meta-analysis: application and practice using R software
Sung Ryul SHIM ; Seong Jang KIM
Epidemiology and Health 2019;41(1):e2019008-
The objective of this study was to describe general approaches for intervention meta-analysis available for quantitative data synthesis using the R software. We conducted an intervention meta-analysis using two types of data, continuous and binary, characterized by mean difference and odds ratio, respectively. The package commands for the R software were “metacont”, “metabin”, and “metagen” for the overall effect size, “forest” for forest plot, “metareg” for meta-regression analysis, and “funnel” and “metabias” for the publication bias. The estimated overall effect sizes, test for heterogeneity and moderator effect, and the publication bias were reported using the R software. In particular, the authors indicated methods for calculating the effect sizes of the target studies in intervention meta-analysis. This study focused on the practical methods of intervention meta-analysis, rather than the theoretical concepts, for researchers with no major in statistics. Through this study, the authors hope that many researchers will use the R software to more readily perform the intervention meta-analysis and that this will in turn generate further related research.
Forests
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Hope
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Odds Ratio
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Population Characteristics
;
Publication Bias
8.Diagnostic test accuracy: application and practice using R software
Sung Ryul SHIM ; Seong Jang KIM ; Jonghoo LEE
Epidemiology and Health 2019;41(1):e2019007-
The objective of this paper is to describe general approaches of diagnostic test accuracy (DTA) that are available for the quantitative synthesis of data using R software. We conduct a DTA that summarizes statistics for univariate analysis and bivariate analysis. The package commands of R software were “metaprop” and “metabin” for sensitivity, specificity, and diagnostic odds ratio; forest for forest plot; reitsma of “mada” for a summarized receiver-operating characteristic (ROC) curve; and “metareg” for meta-regression analysis. The estimated total effect sizes, test for heterogeneity and moderator effect, and a summarized ROC curve are reported using R software. In particular, we focus on how to calculate the effect sizes of target studies in DTA. This study focuses on the practical methods of DTA rather than theoretical concepts for researchers whose fields of study were non-statistics related. By performing this study, we hope that many researchers will use R software to determine the DTA more easily, and that there will be greater interest in related research.
Diagnostic Tests, Routine
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Forests
;
Hope
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Odds Ratio
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Population Characteristics
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ROC Curve
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Sensitivity and Specificity
9.Dose-response meta-analysis: application and practice using the R software
Epidemiology and Health 2019;41(1):e2019006-
The objective of this study was to describe the general approaches of dose-response meta-analysis (DRMA) available for the quantitative synthesis of data using the R software. We conducted a DRMA using two types of data, the difference of means in continuous data and the odds ratio in binary data. The package commands of the R software were “doseresmeta” for the overall effect sizes that were separated into a linear model, quadratic model, and restricted cubic split model for better understanding. The effect sizes according to the dose and a test for linearity were demonstrated and interpreted by analyzing one-stage and two-stage DRMA. The authors examined several flexible models of exposure to pool study-specific trends and made a graphical presentation of the dose-response trend. This study focused on practical methods of DRMA rather than theoretical concepts for researchers who did not major in statistics. The authors hope that this study will help many researchers use the R software to perform DRMAs more easily, and that related research will be pursued.
Hope
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Linear Models
;
Odds Ratio
10.The Effects of Biofilm Care on Subgingival Bacterial Motility and Halitosis
Journal of Dental Hygiene Science 2019;19(3):162-169
BACKGROUND: Oral diseases are caused by various systemic and local factors, the most closely related being the biofilm. However, the challenges involved in removing an established biofilm necessitate professional care for its removal. This study aimed to evaluate and compare the effects of professional self and professional biofilm care in healthy patients to prevent the development of periodontal diseases. METHODS: Thirty-seven patients who visited the dental clinic between September 2018 and February 2019 were included in this study. Self-biofilm care was performed by routine tooth brushing and professional biofilm care was provided using the toothpick method (TPM) or the oral prophylaxis (OP) method using a rubber cup. Subgingival bacterial motility and halitosis (levels of hydrogen sulfide, H₂2S; methyl mercaptan, CH₃SH; and di-methyl sulfide, (CH₃)₂S) were measured before, immediately after, and 5 hours after the preventive treatment in the three groups. Repeated measures analysis of variance test was performed to determine significant differences among the groups. RESULTS: TPM was effective immediately after the prevention treatment, whereas OP was more effective after 5 hours (proximal surfaces, F=16.353, p<0.001; smooth surfaces, F=66.575, p<0.001). The three components responsible for halitosis were effectively reduced by professional biofilm care immediately after the preventive treatment; however, self-biofilm care was more effective after 5 hours (H₂S, F=3.564, p=0.011; CH₃SH, F=6.657, p<0.001; (CH₃)₂S, F=21.135, p<0.001). CONCLUSION: To prevent oral diseases, it is critical to monitor the biofilm. The dental hygienist should check the oral hygiene status and the ability of the patient to administer oral care. Professional biofilm care should be provided by assessing and treating each surface of the tooth. We hope to strengthen our professional in biofilm care through continuous clinical research.
Bacteria
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Biofilms
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Dental Care
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Dental Clinics
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Dental Hygienists
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Halitosis
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Hope
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Humans
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Hydrogen Sulfide
;
Methods
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Oral Health
;
Oral Hygiene
;
Periodontal Diseases
;
Rubber
;
Tooth

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