ive older people in rural areas, and increasing age, cognitive impairment, depressive symptom, risk of malnutrition, ADL disability and poor self-perception of health were all risk factors for frailty. We should be cautious about the research results due to the heterogeneity between studies. This study examined the interaction effects of individual and neighbourhood socioeconomic status (SES) in older adults in Hong Kong, considering all-cause and cause-specific mortality from respiratory disease, cancer, cardiovascular diseases, ischaemic heart disease, stroke, nonmedical disease and suicide. A retrospective follow-up study. Hong Kong Special Administrative Region, a rapidly ageing society with 16.1% residents aged 65 years or older in 2020. 43 910 people aged 65 years or older were enrolled at baseline. They had participated in health check-ups during 2000-2003 in one of the Elderly Health Centres. Observation periods started on the date of the participant's first health check-up, and ended at death, or 31 December 2011, whichever occurred first. All-cause and cause-specific mortality over the study timeframe. Cox's proportional hazards regression models were applied to estimate the adjusted HRs of mortality, by including covariates at neighbourhood (deprivation) and individual levelow SES living in higher SES areas to reduce stroke, cardiovascular and ischaemic heart diseases.There were important interaction effects between neighbourhood and individual factors on mortality. Policies based on the interaction between individual and neighbourhood SES should be considered. For instance, for cancer, targeted services (ie, free consultation, relevant treatment information, health check-up, etc) could be allocated in socioeconomically deprived areas to support individuals with low SES. check details On the other hand, more free public services to reduce psychological stresses (ie, psychological support services, recreational services, health knowledge information, etc) could be provided for those individuals with low SES living in higher SES areas to reduce stroke, cardiovascular and ischaemic heart diseases. We conducted a systematic review and meta-analysis to evaluate the updated evidence regarding prediabetes for predicting mortality, macrovascular and microvascular outcomes. We identified English language studies from MEDLINE, PubMed, OVID and Cochrane database indexed from inception to January 31, 2020. Paired reviewers independently identified 106 prospective studies, comprising nearly 1.85 million people, from 27 countries. Primary outcomes were all-cause mortality (ACM), cardiovascular mortality (CVDM), cardiovascular disease (CVD), coronary heart disease (CHD) and stroke. Secondary outcomes were heart failure, chronic kidney disease (CKD) and retinopathy. Impaired glucose tolerance was associated with ACM; HR 1.19, 95% CI (1.15 to 1.24), CVDM; HR 1.21, 95% CI (1.10 to 1.32), CVD; HR 1.18, 95% CI (1.11 to 1.26), CHD; HR; 1.13, 95% CI (1.05 to 1.21) and stroke; HR 1.24, 95% CI (1.06 to 1.45). Impaired fasting glucose (IFG) 110-125 mg/dL was associated with ACM; HR 1.17, 95% CI (1.13 to 1.22), CVDM; Htes should be considered. The purpose of this study is to evaluate whether anatomical variations of the cystic duct and accessory bile duct can be grasped by cystic duct three-dimensional (3D)-computed tomography (CT) using non-contrast CT and to examine the possibility of omitting magnetic resonance cholangiopancreatography (MRCP). Of patients who underwent non-contrast abdominal CT between May and October 2019, those who underwent MRCP within 1 month before and afterwards were targeted. Seven assessors visually evaluated the cystic duct 3D-CT images on a 5-point scale. Average scores of ≥3 and <3 points were assigned as the good and poor groups, respectively. Regions of interest (ROIs) were placed inside the cystic duct and four places around it, and the CT values in those ROIs were measured. The CT value difference was calculated by subtracting the surrounding CT values from the CT value in the cystic duct and converting the result to an absolute value. The CT value difference was classified into good and poor groups, and ste for understanding anatomical variations of the cystic duct and accessory bile duct. Our method may reduce the number of MRCP sessions performed. We investigated the prevalence and carcinogenic risks of individual high-risk human papillomavirus (HR-HPV) in all types of cervical cytology specimens in the Shanghai population. A total of 124,251 cases with cotesting of cytology and HPV genotyping between October 2017 and February 2020 were included. The overall HPV positive rate was 24.3%, with 22.9% for HR-HPV and 6.1% for low-risk HPV. The top five most common HR-HPV subtypes were HPV 52/16/58/53/39 in the entire studied population, and HPV 16/53/56/51/39 in women with abnormal cytology. The most prevalent subtypes in negative/LSIL, HSIL, and glandular lesions were HPV 52, 16, and 18, respectively. HPV 16, 33, 26, 18, 58, and 82 were the most common subtypes significantly associated with an increased risk for HSIL + cytology. HPV 16/18 were present in 53.6% and 66.7%, and HPV 16/18/31/33/45/52/58 were identified in 90.3% and 80.1% of HSIL and squamous cell carcinoma cytology, respectively. HPV 16/18 and HPV 16/18/31/33/45/52/58 were detected in 37.0% and 44.4% of women with cytologic interpretation of in situ and invasive adenocarcinoma. This large-scale study identified the most common HPV subtypes in each cytology category, and the carcinogenic risks of individual HR-HPV in the studied Shanghai population. The results would provide valuable information for the development of next-generation HPV vaccines and cervical cancer screening programs for the Chinese population, and, more specifically, the Shanghai metropolitan population.This large-scale study identified the most common HPV subtypes in each cytology category, and the carcinogenic risks of individual HR-HPV in the studied Shanghai population. The results would provide valuable information for the development of next-generation HPV vaccines and cervical cancer screening programs for the Chinese population, and, more specifically, the Shanghai metropolitan population.