Background: This study examined the factors influencing digital literacy among older adults aged 65 and older, focusing on the roles of social capital and life satisfaction in urban and rural contexts. Methods: A secondary analysis was conducted using microdata from the Digital Information Gap Survey 2023, a nationally representative dataset collected by the National Information Society Agency. Data from 974 seniors aged 65 or older who have experience using the internet and own a mobile device were analyzed using descriptive statistics. In this study, digital literacy was measured by personal computer use ability and mobile use ability. Pearson’s correlation, and hierarchical regression analyses to identify predictors of digital literacy. Results: Digital literacy was significantly higher in urban areas than in rural areas (t=–5.954, P<0.001). In both settings, younger age,men gender, higher educational attainment, and greater household income were associated with higher digital literacy. Social capital was a significant predictor in urban (β=0.089, P=0.008) and rural (β=0.230, P=0.003) groups, whereas life satisfaction significantly influenced digital literacy only in urban areas (β=0.070, P=0.036). For rural older adults, household type (non-single-person households) was also a significant predictor. Conclusions The findings highlight distinct patterns in the determinants of digital literacy between urban and rural older adults. Enhancing social capital and addressing socioeconomic disparities are essential to narrowing the digital divide, particularly in rural areas. Context-sensitive and community-based programs should promote digital inclusion and improve the quality of life among older adults.

Background: Gout is a type of inflammatory arthritis caused by monosodium urate crystal deposits, and the prevalence of this condition has been increasing. This study aimed to determine the combined effects of genetic risk factors and lifestyle habits on gout, using data from a Korean cohort study. Identifying high-risk individuals in advance can help prevent gout and its associated disorders. Methods: We analyzed data from the Korean Genome and Epidemiology Study-Urban Health Examinees cohort (KoGES-HEXA). Genetic information of the participants was collected at baseline, and gout cases were identified based on patient statements. The polygenic risk score (PRS) was calculated using nine independent genome-wide association study datasets, and lifestyle factors and metabolic syndrome status were measured for each participant using the KoGES. Logistic regression models were used to estimate the odds ratios (ORs) for gout in relation to genetic risk, lifestyle habits, and metabolic health status, after adjusting for age and sex. Results: Among 44,605 participants, 617 were diagnosed with gout. Gout was associated with older age, higher body mass index, and higher prevalence of hypertension, diabetes, and hypertriglyceridemia. High PRS, unfavorable lifestyle habits, and poor metabolic profiles were significantly associated with an increased risk of gout. Compared with that in the low-genetic-risk and healthy lifestyle group or ideal metabolic profile group, the risk of gout was increased in the high-genetic-risk plus unfavorable lifestyle (OR, 3.64; 95% confidence interval [CI], 2.32–6.03) or poor metabolic profile (OR, 7.78; 95% CI, 4.61–13.40) group.Conversely, adherence to favorable lifestyle habits significantly reduced gout risk, especially in high-genetic-risk groups. Conclusion Genetic predisposition and unhealthy lifestyle habits significantly increase the risk of gout. Promoting healthy lifestyle habits is crucial to prevent the development of gout, particularly in individuals with high genetic susceptibility.

Background: Gout is a type of inflammatory arthritis caused by monosodium urate crystal deposits, and the prevalence of this condition has been increasing. This study aimed to determine the combined effects of genetic risk factors and lifestyle habits on gout, using data from a Korean cohort study. Identifying high-risk individuals in advance can help prevent gout and its associated disorders. Methods: We analyzed data from the Korean Genome and Epidemiology Study-Urban Health Examinees cohort (KoGES-HEXA). Genetic information of the participants was collected at baseline, and gout cases were identified based on patient statements. The polygenic risk score (PRS) was calculated using nine independent genome-wide association study datasets, and lifestyle factors and metabolic syndrome status were measured for each participant using the KoGES. Logistic regression models were used to estimate the odds ratios (ORs) for gout in relation to genetic risk, lifestyle habits, and metabolic health status, after adjusting for age and sex. Results: Among 44,605 participants, 617 were diagnosed with gout. Gout was associated with older age, higher body mass index, and higher prevalence of hypertension, diabetes, and hypertriglyceridemia. High PRS, unfavorable lifestyle habits, and poor metabolic profiles were significantly associated with an increased risk of gout. Compared with that in the low-genetic-risk and healthy lifestyle group or ideal metabolic profile group, the risk of gout was increased in the high-genetic-risk plus unfavorable lifestyle (OR, 3.64; 95% confidence interval [CI], 2.32–6.03) or poor metabolic profile (OR, 7.78; 95% CI, 4.61–13.40) group.Conversely, adherence to favorable lifestyle habits significantly reduced gout risk, especially in high-genetic-risk groups. Conclusion Genetic predisposition and unhealthy lifestyle habits significantly increase the risk of gout. Promoting healthy lifestyle habits is crucial to prevent the development of gout, particularly in individuals with high genetic susceptibility.

Background: Gout is a type of inflammatory arthritis caused by monosodium urate crystal deposits, and the prevalence of this condition has been increasing. This study aimed to determine the combined effects of genetic risk factors and lifestyle habits on gout, using data from a Korean cohort study. Identifying high-risk individuals in advance can help prevent gout and its associated disorders. Methods: We analyzed data from the Korean Genome and Epidemiology Study-Urban Health Examinees cohort (KoGES-HEXA). Genetic information of the participants was collected at baseline, and gout cases were identified based on patient statements. The polygenic risk score (PRS) was calculated using nine independent genome-wide association study datasets, and lifestyle factors and metabolic syndrome status were measured for each participant using the KoGES. Logistic regression models were used to estimate the odds ratios (ORs) for gout in relation to genetic risk, lifestyle habits, and metabolic health status, after adjusting for age and sex. Results: Among 44,605 participants, 617 were diagnosed with gout. Gout was associated with older age, higher body mass index, and higher prevalence of hypertension, diabetes, and hypertriglyceridemia. High PRS, unfavorable lifestyle habits, and poor metabolic profiles were significantly associated with an increased risk of gout. Compared with that in the low-genetic-risk and healthy lifestyle group or ideal metabolic profile group, the risk of gout was increased in the high-genetic-risk plus unfavorable lifestyle (OR, 3.64; 95% confidence interval [CI], 2.32–6.03) or poor metabolic profile (OR, 7.78; 95% CI, 4.61–13.40) group.Conversely, adherence to favorable lifestyle habits significantly reduced gout risk, especially in high-genetic-risk groups. Conclusion Genetic predisposition and unhealthy lifestyle habits significantly increase the risk of gout. Promoting healthy lifestyle habits is crucial to prevent the development of gout, particularly in individuals with high genetic susceptibility.

Background: Gout is a type of inflammatory arthritis caused by monosodium urate crystal deposits, and the prevalence of this condition has been increasing. This study aimed to determine the combined effects of genetic risk factors and lifestyle habits on gout, using data from a Korean cohort study. Identifying high-risk individuals in advance can help prevent gout and its associated disorders. Methods: We analyzed data from the Korean Genome and Epidemiology Study-Urban Health Examinees cohort (KoGES-HEXA). Genetic information of the participants was collected at baseline, and gout cases were identified based on patient statements. The polygenic risk score (PRS) was calculated using nine independent genome-wide association study datasets, and lifestyle factors and metabolic syndrome status were measured for each participant using the KoGES. Logistic regression models were used to estimate the odds ratios (ORs) for gout in relation to genetic risk, lifestyle habits, and metabolic health status, after adjusting for age and sex. Results: Among 44,605 participants, 617 were diagnosed with gout. Gout was associated with older age, higher body mass index, and higher prevalence of hypertension, diabetes, and hypertriglyceridemia. High PRS, unfavorable lifestyle habits, and poor metabolic profiles were significantly associated with an increased risk of gout. Compared with that in the low-genetic-risk and healthy lifestyle group or ideal metabolic profile group, the risk of gout was increased in the high-genetic-risk plus unfavorable lifestyle (OR, 3.64; 95% confidence interval [CI], 2.32–6.03) or poor metabolic profile (OR, 7.78; 95% CI, 4.61–13.40) group.Conversely, adherence to favorable lifestyle habits significantly reduced gout risk, especially in high-genetic-risk groups. Conclusion Genetic predisposition and unhealthy lifestyle habits significantly increase the risk of gout. Promoting healthy lifestyle habits is crucial to prevent the development of gout, particularly in individuals with high genetic susceptibility.

A 6-year-old spayed female French Bulldog presented with a left-sided chest wall tumor. Physical examination revealed that the tumor was firmly adhered to the chest wall. A preoperative punch biopsy of the tumor revealed a grade 2 soft tissue sarcoma (STS). On computed tomography, the tumor’s dimensions were assessed as 6.5 × 5.7 × 3.5 cm, and it exhibited invasiveness near the tissue surrounding the ninth rib. The tumor size was large in comparison to the dog’s chest wall area. Hence, if the traditional wide-margin resection surgery were to be performed, primary wound closure seemed impractical and could potentially result in respiratory function complications. Therefore, considering the extent of tumor invasion and grade, deep margins were established to include the removal of the eighth to tenth ribs, and a 1-cm lateral margin was designated to enable primary wound closure. To reconstruct the chest wall, polypropylene mesh was attached to the adjacent ribs and the remaining muscles were sutured and covered over the mesh. The dog exhibited a rapid recovery beginning the day after the operation. Postoperative biopsy confirmed that the tumor was a grade 2 STS, and the surgical margins were evaluated as incomplete. The owner chose to pursue follow-up observation instead of chemotherapy. In this study, the surgical approach was chosen based on the importance of functional recovery after surgery. Recent research indicates that the tumor grade is more critical for postoperative prognosis than the extent of surgical margins when removing an STS.

Purpose: This study identifies the individual and community level factors affecting the health-related quality of life (QOL) of the elderly based on an ecological model using multilevel analysis. Methods: As a secondary research, this study used the raw data, community health survey results, and database 1.0 data on community health outcomes and determinants from the same year. Survey participants were 62,710 respondents age ≥65 of 228,558, and database 1.0 data on community health outcomes and determinants were established targeting 254 regions nationally. Results: The health-related QOL showed differences according to the individual and community level factors. Additionally, estimating the effects of the community level factors through multilevel analysis was needed. In a model in which the individual and community level factors were simultaneously inserted, the significant community characteristic factor controlling the individual level factors was the number of hospital beds per thousand population (p=.028). Conclusion In the multilevel analysis considering the individual and community level factors, the number of hospital beds per thousand population, which is a factor concerning medical access, was identified as a factor significantly affecting health-related QOL. The results should be considered in allocating and developing community- based healthcare resources and establishing strategies to improve the health-related QOL.

Background: Conventional diagnosis of fragile X syndrome (FXS) is based on a combination of fragment analysis (FA) and Southern blotting (SB); however, this diagnostic approach is time- and labor-intensive and has pitfalls such as the possibility of missing large number alleles. Triplet repeat primed PCR (TP-PCR) is a current alternative used to overcome these limitations. We evaluated the diagnostic usefulness of TP-PCR compared with the conventional diagnostic protocol consisting of FA and/or SB in terms of allele categorization, repeat number correlation, and zygosity concordance in female genetic carriers. Methods: From November 2013 to March 2018, 458 patients (326 males, 132 females) were simultaneously examined using FA and/or SB and TP-PCR by detecting CGG repeat numbers in FMR gene and diagnosed as per American College of Medical Genetics guidelines. Results: The TP-PCR results showed high concordance with the FA and/or SB results for all three aspects (allele categorization, repeat number correlation, and zygosity concordance in female genetic carriers). TP-PCR detected CGG expansions ≥ 200 in all full mutation (FM) allele cases in male patients, as well as both the normal allele (NL) and FM allele in female carriers. In premutation (PM) allele carriers, the TP-PCR results were consistent with the FA and/or SB results. In terms of zygosity concordance in female genetic carriers, 12 NL cases detected by TP-PCR showed a merged peak consisting of two close heterozygous peaks; however, this issue was resolved using a 10-fold dilution. Conclusions TP-PCR may serve as a reliable alternative method for FXS diagnosis.

Chest pain in kidney transplant patients is usually caused by cardiac or pulmonary problems. However, it may be rarely caused by opportunistic esophageal infections. A 66-year-old female kidney transplant recipient was admitted because of chest pain. She had been treated with high-dose steroid and immunosuppressants for acute T-cell-mediated rejection. Cardiologic and pulmonary evaluations had normal results. Endoscopic examination revealed three clear ulcerative lesions in the esophagus. Histological and immunohistochemical staining of the endoscopic biopsy specimens revealed coinfection of herpes simplex virus and cytomegalovirus. The patient was treated with intravenous ganciclovir for 2 weeks. Her symptoms completely resolved, and follow-up endoscopy revealed complete healing of the previous ulcers. Viral esophagitis should be considered in the differential diagnosis in kidney transplant recipients presenting with chest pain.
Aged ; Biopsy ; Chest Pain ; Coinfection ; Cytomegalovirus ; Diagnosis, Differential ; Endoscopy ; Esophagitis ; Esophagus ; Female ; Follow-Up Studies ; Ganciclovir ; Herpes Simplex ; Humans ; Immunosuppressive Agents ; Kidney ; Kidney Transplantation ; Simplexvirus ; Thorax ; Transplant Recipients ; Ulcer

PURPOSE: Recently, the neutrophil-to-lymphocyte ratio (NLR), an inflammatory response marker, has been reported to be associated with the prognosis in patients with various type of cancer. However, there have been no studies until now that have explored the prognostic role of combined detection of NLR and CEA in patients with synchronous liver-limited colorectal metastases (sCRLM). METHODS: Eighty-three patients who histologically diagnosed as sCRLM were selected. Their laboratory and clinical data were collected retrospectively. Using receiver operating characteristic curve analysis, the cutoff value of NLR was calculated based on which patients were assigned to a high NLR (more than 1.94) group and low NLR (less than 1.94) group. A cutoff value of 100 ng/mL for serum CEA level was used in light of the previous literature. RESULTS: CEA level and Poorly differentiated histology of colon cancer was significantly correlated with high NLR (P = 0.005 and P = 0.048, respectively). The multivariate analysis identified the high NLR as independent prognostic factors for OS and DFS in all patients (P = 0.010 and P = 0.006, respectively). Patients with both low levels of NLR and CEA had a significantly longer OS and DFS (P = 0.026 and P = 0.009, respectively). CONCLUSION: In conclusion, elevated preoperative NLR is strongly correlated with both survival and recurrence in patients who have been diagnosed with resectable sCRLM. The combination of NLR and CEA level could be a more powerful prognostic marker than NLR alone.
Colonic Neoplasms ; Colorectal Neoplasms ; Humans ; Liver ; Multivariate Analysis ; Neoplasm Metastasis ; Neutrophils ; Prognosis ; Recurrence ; Retrospective Studies ; ROC Curve