The prevalence and incidence rates of kidney stone disease (KSD) in Taiwan are high; however, the association between lipid profile and KSD has yet to be investigated. The aim of this longitudinal study was to investigate the association between lipid profile with baseline and incident KSD in a large Taiwanese cohort. A total of 27,002 people enrolled in the Taiwan Biobank (TWB) were followed for a median of 4 years and classified into two groups according to whether they had (n = 1813; 6.7%) or did not have (n = 25,189; 93.3%) KSD at baseline. The presence of KSD was defined according to a self-reported history of kidney stones. The participants with baseline KSD (n = 1813) were excluded from the follow-up study, and the remaining participants were classified into two groups consisting of those who had (n = 640; 2.5%) or did not have (n = 24,549; 97.5%) incident KSD. After multivariable analysis, compared to quartile 1 of lipid profile, the participants in quartile 4 of triglycerides, quartiles 3 and 4 of high-density lipoprotein cholesterol (HDL-C), and quartile 4 of total cholesterol (Chol)/HDL-C ratio were significantly associated with baseline KSD. In the follow-up study, the participants in quartiles 2, 3, and 4 of triglycerides; quartile 2 of Chol; quartile 4 of HDL-C; quartile 3 of LDL-C; and quartiles 3 and 4 of Chol/HDL-C ratio were significantly associated with incident KSD. Our results showed that hypertriglyceridemia (67–93 mg/dL) was associated with a 1.463-fold increased risk of incident KSD and that low HDL-C (>63 mg/dL) protected against incident KSD formation. In addition, a Chol/HDL-C ratio larger than 3.64 was associated with a 1.381-fold increased risk of incident KSD. Our findings may imply that the optimal management of dyslipidemia may be associated with a lower risk of developing kidney stones.

Metabolic syndrome (MetS) is prevalent in Taiwan; however, the association between MetS and cognitive function is unclear. The aim of this study was to explore the associations between MetS, its components, and obesity-related indices with cognitive function in a large Taiwanese cohort. We enrolled a total of 28,486 participants who completed the Mini-Mental State Examination (MMSE) questionnaire, which was used to evaluate cognitive function. MetS was defined according to the NCEP-ATP III guidelines and modified criteria for Asians. Ten obesity-related indices were also evaluated: body mass index (BMI), abdominal volume index (AVI), body adiposity index (BAI), waist–hip ratio (WHR), a body shape index (ABSI), lipid accumulation product, waist-to-height ratio (WHtR), conicity index (CI), body roundness index (BRI), and triglyceride glucose index. The prevalence of MetS and its components (except for hypertriglyceridemia) and the number of MetS components increased while the cognitive impairment worsened (from MMSE ≥ 24, 18–23 to 0–17). In addition, increases in all obesity-related index values were associated with a decline in cognitive function (from MMSE ≥ 24, 18–23 to 0–17, ANOVA p < 0.001). Multivariable analysis showed that MetS (p = 0.002), abdominal obesity (p < 0.001), low high-density lipoprotein cholesterol (p = 0.004), and hyperglycemia (p = 0.012) were significantly associated with a low MMSE score. Further, participants with high BMI (p = 0.001), WHR (p < 0.001), WHtR (p < 0.001), BRI (p < 0.001), CI (p < 0.001), BAI (p < 0.001), AVI (p < 0.001), and ABSI (p < 0.001) values were significantly associated with a low MMSE score. Our results show that MetS and its components (except for hypertriglyceridemia and high blood pressure) may lead to cognitive impairment, and that high values of obesity-related indices were associated with poor cognitive function.

Objectives:The objectives of this study were to investigate the primary diagnoses and outcomes of emergency department visits in older people with dementia and to compare these parameters with those in older adults without dementia.Design and Setting:This hospital-based retrospective study retrieved patient records from a hospital research database, which included the outpatient and inpatient claims of two hospitals.Participants:The patient records were retrieved from the two hospitals in an urban setting. The inclusion criteria were all patients aged 65 and older who had attended the two hospitals as an outpatient or inpatient between January 1, 2009, and December 31, 2016. Patients with dementia were identified to have at least three reports of diagnostic codes, either during outpatient visits, during emergency department visits, or in hospitalized database records. The other patients were categorized as patients without dementia.Measurements:The primary diagnosis during the emergency department visit, cost of emergency department treatment, cost of hospital admission, length of hospital stay, and diagnosis of death were collected.Results:A total of 149,203 outpatients and inpatients aged 65 and older who were admitted to the two hospitals were retrieved. The rate of emergency department visits in patients with dementia (23.2%) was lower than that in those without dementia (48.6%). The most frequent primary reason for emergency department visits and the main cause of patient death was pneumonia. Patients with dementia in the emergency department had higher hospital admission rates and longer hospital stays; however, the cost of treatment did not show a significant difference between the two groups.Conclusions:Future large and prospective studies should explore the severity of disease in older people with dementia and compare results with older adults without dementia in the emergency department.

Taiwanese community mental health facilities encounter opposition/resistance from residents, commonly known as “Not-In-My-Backyard” (NIMBYism). This study investigated NIMBYism during the establishment of such facilities and how they respond to such resistance. A qualitative study through semi-structured interviews was used to obtain purposively sampled data. Fifteen frontline healthcare professionals from community mental health facilities in Taiwan were interviewed individually, using an organizational analysis structure. Data were analyzed using qualitative content analysis. Two themes: “Reasons for Resident Resistance” and “Institutional Response Strategies”, two categories, and 11 subcategories emerged. The findings demonstrated the following: (1) Reasons behind residents’ resistance toward establishing community mental health facilities are diverse. (2) Communities lack understanding regarding people with mental disorders, leading to irrational beliefs. (3) Fear and negative perceptions toward people with mental disorders exist. (4) Strategies employed by the facilities include providing community services to foster amicable relationships, organizing community outreaches, training people with mental disorders within communities, nurturing neighborhood connections, establishing and sustaining friendships within communities, inviting residents to visit community mental health facilities or introducing the facilities to communities, and leveraging governmental support. The government should adopt regulations or laws to reduce discrimination, promote human rights, and legislate to demarcate the use of community land.