We aimed to assess the risks of
China ; Cryptosporidiosis/microbiology* ; Cryptosporidium/isolation & purification* ; Giardia/isolation & purification* ; Giardiasis/microbiology* ; Humans ; Risk Assessment ; Water Microbiology ; Water Supply/statistics & numerical data*

BACKGROUND: Among former Olympic-level athletes, engagement in different sport disciplines has been associated with mortality risk in subsequent years. However, limited evidence is available on whether engagement in different sport disciplines at a young age is associated with locomotive syndrome (LS) risk later in life. This study examined the relationship between engagement in different sport disciplines during university years and LS risk in older age among former university athletes. METHODS: Participants were 274 middle-aged and 294 older men alumni who graduated from a school of physical education in Japan. LS risk was defined as answering "yes" to any of the Loco-check questions. Data on university sports club membership were collected using questionnaires. University clubs were classified into three groups of cardiovascular intensity (low, moderate, high), following the classification system of sport disciplines by the American College of Cardiology. This classification considers the static and dynamic components of an activity, which correspond to the estimated percent of maximal voluntary contraction reached and maximal oxygen uptake achieved, respectively. University clubs were grouped based on the risk of bodily collision (no, yes) and extent of physical contact (low, moderate, high). Relationships between engagement in different sport disciplines and LS risk were analyzed using Cox proportional hazards models, and adjusted for age, height, weight, joint disease, habitual exercise, and smoking and drinking status. RESULTS: Adjusted hazard ratios and 95% confidence intervals associated with the low, moderate, and high cardiovascular intensity sports were 1.00 (reference), 0.48 (0.22-1.06, P = 0.070), and 0.44 (0.20-0.97, P = 0.042) in older men, respectively; however, there was no significant association between these parameters among middle-aged men. Engagement in sports associated with physical contact and collision did not affect LS risk in either group. CONCLUSIONS Engagement in sports associated with high cardiovascular intensity during university years may reduce the risk of LS in later life. Encouraging young people to participate in such activities might help reduce LS prevalence among older populations.
Adult ; Aged ; Aged, 80 and over ; Athletes/statistics & numerical data* ; Exercise ; Geriatric Assessment ; Humans ; Japan/epidemiology* ; Locomotion ; Male ; Middle Aged ; Mobility Limitation ; Motor Disorders/etiology* ; Postural Balance ; Prevalence ; Proportional Hazards Models ; Risk Factors ; Sports/statistics & numerical data* ; Syndrome ; Young Adult

BACKGROUND: Predicting adverse health events and implementing preventative measures are a necessary challenge. It is important for healthcare planners and policymakers to allocate the limited resource to high-risk persons. Prediction is also important for older individuals, their family members, and clinicians to prepare mentally and financially. The aim of this study is to develop a prediction model for within 11-year dependent status requiring long-term nursing care or death in older adults for each sex. METHODS: We carried out age-specified cohort study of community dwellers in Nisshin City, Japan. The older adults aged 64 years who underwent medical check-up between 1996 and 2000 were included in the study. The primary outcome was the incidence of the psychophysically dependent status or death or by the end of the year of age 75 years. Univariable logistic regression analyses were performed to assess the associations between candidate predictors and the outcome. Using the variables with p-values less than 0.1, multivariable logistic regression analyses were then performed with backward stepwise elimination to determine the final predictors for the model. RESULTS: Of the 1525 female participants at baseline, 105 had an incidence of the study outcome. The final prediction model consisted of 15 variables, and the c-statistics for predicting the outcome was 0.763 (95% confidence interval [CI] 0.714-0.813). Of the 1548 male participants at baseline, 211 had incidence of the study outcome. The final prediction model consisted of 16 variables, and the c-statistics for predicting the outcome was 0.735 (95% CI 0.699-0.771). CONCLUSIONS We developed a prediction model for older adults to forecast 11-year incidence of dependent status requiring nursing care or death in each sex. The predictability was fair, but we could not evaluate the external validity of this model. It could be of some help for healthcare planners, policy makers, clinicians, older individuals, and their family members to weigh the priority of support.
Aged ; Cohort Studies ; Female ; Geriatric Assessment/statistics & numerical data* ; Humans ; Independent Living/statistics & numerical data* ; Japan ; Male ; Middle Aged ; Nursing Homes/statistics & numerical data* ; Risk Assessment ; Risk Factors

BACKGROUND: The Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) study was launched to investigate risk factors for osteoporotic fractures, interactions of osteoporosis with other non-communicable chronic diseases, and effects of fracture on QOL and mortality. METHODS: FORMEN baseline study participants (in 2007 and 2008) included 2012 community-dwelling men (aged 65-93 years) in Nara prefecture, Japan. Clinical follow-up surveys were conducted 5 and 10 years after the baseline survey, and 1539 and 906 men completed them, respectively. Supplemental mail, telephone, and visit surveys were conducted with non-participants to obtain outcome information. Survival and fracture outcomes were determined for 2006 men, with 566 deaths identified and 1233 men remaining in the cohort at 10-year follow-up. COMMENTS The baseline survey covered a wide range of bone health-related indices including bone mineral density, trabecular microarchitecture assessment, vertebral imaging for detecting vertebral fractures, and biochemical markers of bone turnover, as well as comprehensive geriatric assessment items. Follow-up surveys were conducted to obtain outcomes including osteoporotic fracture, cardiovascular diseases, initiation of long-term care, and mortality. A complete list of publications relating to the FORMEN study can be found at https://www.med.kindai.ac.jp/pubheal/FORMEN/Publications.html .
Aged ; Bone Density ; Cardiovascular Diseases/etiology* ; Cohort Studies ; Geriatric Assessment ; Humans ; Independent Living ; Japan/epidemiology* ; Long-Term Care/statistics & numerical data* ; Male ; Middle Aged ; Osteoporosis/etiology* ; Osteoporotic Fractures/etiology* ; Risk Factors

PURPOSE: Boarding is a common problem in the emergency department (ED) and is associated with poor health care and outcome. Imam Khomeini Hospital is the main healthcare center in Urmia, a metropolis in the northwest of Iran. Due to the overcrowding and high patient load, we aim to characterize the rate, cause and consequence of boarding in the ED of this center. METHODS: All medical records of patients who presented to the ED of Imam Khomeini Hospital from August 1, 2017 to August 1, 2018 were retrospectively analyzed. Patients with uncompleted records were excluded. Boarding was defined as the inability to transfer the admitted ED patients to a downstream ward in ≥2 h after the admission order. Demographic data, boarding rate, mortality and triage levels (1-5) assessed by emergency severity index were collected and analyzed. The first present time of patients was classified into 4 ranges as 0:00-5:59, 6:00-11:59, 12:00-17:59 and 18:00-23:59. Descriptive, parametric and non-parametric statistical tests were performed and the risk of boarding was determined by Pearson Chi-square test. RESULTS: Demographic data analysis showed that 941 (58.5%) male and 667 (41.5%) female, altogether 1608 patients were included in this study. Five patients (0.3%) died. The distribution of patients with the triage levels 1-5 was respectively 79 (4.9%), 1150 (71.5%), 374 (23.3%), 4 (0.2%) and 0 (0%). Most patients were of level 2. Only 75 (4.7%) patients required intensive care. The majority of patients (84.2%) were presented at weekdays. The maximum patient load was observed between 12:00-17:59. Of the 1608 patients, 340 (21.1%) experienced boarding within a mean admission time of 13.70 h. Among the 340-boarded patients, 20.1% belonged to surgery, 12.1% to orthopedics, 10.9% to neurosurgery and 10.3% to neurology. The boarding rate was higher in females, patients requiring intensive care and those with low triage levels. Compared with the non-boarded, the boarded patients had a higher mean age. CONCLUSION The boarding rate is higher in the older and female patients. Moreover, boarding is dependent on the downstream ward sections: patients requiring surgical management experience the maximum boarding rate.
Age Factors ; Chi-Square Distribution ; Cross-Sectional Studies ; Crowding ; Emergency Service, Hospital ; Female ; Hospital Mortality ; Hospitalization/statistics & numerical data* ; Humans ; Iran ; Length of Stay ; Male ; Patient Admission ; Retrospective Studies ; Risk Assessment/methods* ; Risk Factors ; Sex Factors ; Time Factors ; Triage

Coronavirus Infections ; epidemiology ; prevention & control ; Elective Surgical Procedures ; statistics & numerical data ; Female ; Humans ; Infection Control ; methods ; Infectious Disease Transmission, Patient-to-Professional ; prevention & control ; Male ; Occupational Health ; statistics & numerical data ; Orthopedic Procedures ; methods ; statistics & numerical data ; Outcome Assessment, Health Care ; Pandemics ; prevention & control ; statistics & numerical data ; Patient Safety ; statistics & numerical data ; Pneumonia, Viral ; epidemiology ; prevention & control ; Risk Assessment ; Safety Management ; Singapore ; Wounds and Injuries ; diagnosis ; epidemiology ; surgery

OBJECTIVE: The aim of this study was to determine whether low calf circumference (CC) could predict nutritional risk and the cutoff values of CC for predicting nutritional risk in hospitalized patients aged ⪖ 80 years. METHODS: A total of 1,234 consecutive patients aged ⪖ 80 years were enrolled in this study. On admission, demographic data, CC, and laboratory parameters were obtained. Patients with Nutritional Risk Screening 2002 (NRS-2002) total score ⪖ 3 were considered as having nutritional risk. RESULTS: CC values were significantly lower in patients with nutritional risk compared to those in patients without nutritional risk [27.00 (24.50-31.00) vs. 31.00 (29.00-33.50], P < 0.001]. CC was negatively correlated with age and nutritional risk scores. Logistic regression analysis of nutritional risk revealed that body mass index, albumin level, hemoglobin level, cerebral infarction, neoplasms, and CC (OR, 0.897; 95% confidence interval, 0.856-0.941; P < 0.001) were independent impact factors of nutritional risk. Nutritional risk scores increased with a decrease in CC. In men, the best CC cutoff value for predicting nutritional risk according to the NRS-2002 was 29.75 cm. In women, the cutoff value was 28.25 cm. CONCLUSION CC is a simple, noninvasive, and valid anthropometric measure to predict nutritional risk for hospitalized patients aged ⪖ 80 years.
Aged, 80 and over ; Anthropometry ; methods ; China ; Female ; Hospitalization ; statistics & numerical data ; Humans ; Leg ; anatomy & histology ; Male ; Nutritional Status ; Risk Assessment ; methods

BACKGROUND: To let the early elderly live well, understanding how lifestyle and psychosocial factors related to a decline in competence in daily living is important. METHODS: We investigated the associations between lifestyle and psychosocial factors at age 64 years and a decline in the Tokyo Metropolitan Institute of Gerontology Index of Competence score of ≥ 2 points at age 70 years among the participants in comprehensive medical check-ups living in a city in Japan. Multivariable logistic regression analyses were performed separately for men and women. RESULTS: Of the 1113 eligible men and 1203 eligible women, 110 men and 80 women showed a deteriorated competence in daily living during the 6 years. In men, risk was increased with ≥ 2 nighttime awakenings (multivariable odds ratio [mOR] 2.14, 95% confidence interval [CI] 1.19-3.86) and living alone (mOR 4.68, 95% CI 1.22-18.0), whereas risk was significantly decreased with a medium or fast gait (mOR 0.37 and 0.21, 95% CI 0.21-0.67 and 0.08-0.58) and high academic achievement (mOR 0.32 and 0.43, 95% CI 0.19-0.53 and 0.25-0.72). In women, risk was decreased with high life satisfaction (mOR 0.39, 95% CI 0.16-0.91) and participation in community activities (mOR 0.50, 95% CI 0.29-0.86) but increased with depressive mood (mOR 1.86, 95% CI 1.09-3.18). CONCLUSION Living alone for men and low life satisfaction for women at age 64 years were markedly associated with the risk of a subsequent declining competence in daily living.
Activities of Daily Living ; psychology ; Aged ; Cohort Studies ; Community-Based Participatory Research ; Female ; Geriatric Assessment ; Healthy Aging ; Humans ; Independent Living ; psychology ; statistics & numerical data ; Japan ; Life Style ; Male ; Middle Aged ; Physical Functional Performance ; Protective Factors ; Risk Factors ; Surveys and Questionnaires

Risk prediction models including the Prostate Health Index (phi) for prostate cancer have been well established and evaluated in the Western population. The aim of this study is to build phi-based risk calculators in a prostate biopsy population and evaluate their performance in predicting prostate cancer (PCa) and high-grade PCa (Gleason score ≥7) in the Chinese population. We developed risk calculators based on 635 men who underwent initial prostate biopsy. Then, we validated the performance of prostate-specific antigen (PSA), phi, and the risk calculators in an additional observational cohort of 1045 men. We observed that the phi-based risk calculators (risk calculators 2 and 4) outperformed the PSA-based risk calculator for predicting PCa and high-grade PCa in the training cohort. In the validation study, the area under the receiver operating characteristic curve (AUC) for risk calculators 2 and 4 reached 0.91 and 0.92, respectively, for predicting PCa and high-grade PCa, respectively; the AUC values were better than those for risk calculator 1 (PSA-based model with an AUC of 0.81 and 0.82, respectively) (all P < 0.001). Such superiority was also observed in the stratified population with PSA ranging from 2.0 ng ml^-1to 10.0 ng ml^-1. Decision curves confirmed that a considerable proportion of unnecessary biopsies could be avoided while applying phi-based risk calculators. In this study, we showed that, compared to risk calculators without phi, phi-based risk calculators exhibited superior discrimination and calibration for PCa in the Chinese biopsy population. Applying these risk calculators also considerably reduced the number of unnecessary biopsies for PCa.
Aged ; Asian People/statistics & numerical data* ; Biopsy ; China ; Humans ; Male ; Neoplasm Grading ; Prostate/pathology* ; Prostate-Specific Antigen/blood* ; Prostatic Neoplasms/pathology* ; Risk Assessment/methods*

INTRODUCTION: Atrial fibrillation (AF) with rapid ventricular rate (RVR) is a common diagnosis in the Emergency Department (ED) requiring evaluation and treatment. We present the characteristics and outcomes of patients presenting with primary or secondary AF in a tertiary hospital ED. MATERIALS AND METHODS: This retrospective cohort study included consecutive patients ≥21 years old, with a primary or secondary diagnosis of AF with RVR in the ED over a 1-year period from 1 January 2016 to 31 December 2016. Primary AF is defined as AF with no precipitating cause and secondary AF as AF secondary to a precipitating cause. RESULTS: A total of 464 patients presented to the ED from 1 January to 31 December 2016 with primary and secondary diagnosis of AF with RVR; 44.8% had primary diagnosis of AF whereas 55.2% had secondary AF. Overall admission rate from ED was high at 91.8% (primary 84.6% vs secondary 97.7%). Patients with primary AF were younger (68 vs 74 years, <0.001), had lower rates of cardiovascular risk factors, and shorter length of stay (median 4 vs 5 days). Within 30 days of discharge, they had lower ED reattendance (16.3% vs 25.8%, <0.001) and lower readmission (16.3% vs 25.8%, <0.001). There was no mortality in the primary AF group (0% vs 9.8%, <0.001). CONCLUSION Currently, majority of patients with AF with RVR are admitted from the ED. Other study suggests patients with uncomplicated primary AF have lower adverse outcomes and some could potentially be treated as outpatients.
Aged ; Atrial Fibrillation ; diagnosis ; epidemiology ; therapy ; Emergency Service, Hospital ; statistics & numerical data ; Female ; Humans ; Male ; Middle Aged ; Outcome and Process Assessment (Health Care) ; Patient Care Management ; methods ; statistics & numerical data ; Patient Readmission ; statistics & numerical data ; Retrospective Studies ; Risk Factors ; Singapore ; epidemiology ; Tachycardia, Ventricular ; diagnosis ; epidemiology ; therapy ; Tertiary Care Centers ; statistics & numerical data