Considering that coronavirus disease 2019 (COVID-19) is an emerging disease and results in very different outcomes, from complete recovery to death, it is important to determine the factors affecting the survival of patients. Given the lack of knowledge about effective factors and the existence of differences in the outcome of individuals with similar values of the observed covariates, this study aimed to investigate the factors affecting the survival of patients with COVID-19 by the parametric survival model with the frailty approach.

The data of 139 patients with COVID-19 hospitalized in Imam Reza Hospital in Tabriz were analyzed by the Gompertz survival model with gamma frailty effect. At first, variables with P < 0.1 in univariable analysis were included in the multivariable analysis, and then the stepwise method was used for variable selection.

Diabetes mellitus was significantly related to the survival of hospitalized patients (P = 0.021). The rest of the investigated variables were not significant. The frailty effect was significant (P = 0.019).

In the investigated sample of patients with COVID-19, diabetes was an important variable related to patient survival. Also, the significant frailty effect indicates the existence of unobserved heterogeneity that causes individuals with a similar value of the observed covariates to have different survival distributions.

Aboriginal and Torres Strait Islander Australians have a relatively high prevalence of multimorbidity requiring treatment with medications. This study examines medication use and anticholinergic burden (ACB) among a cohort of older Aboriginal and Torres Strait Island people.

This cross-sectional study involving five Aboriginal communities (two in metropolitan Sydney and three on the mid-north coast of New South Wales) used a structured interview process to assess cognition, depression, and activities of daily living for a cohort of older adults (aged 60 years and over). Participants also reported on their health status, medical history, and prescription medications during the interview. ACB was calculated, and its association with adverse health outcomes including cognitive impairment, falls, hospitalization, and depressive symptoms were examined.

Most participants (95%) were taking at least one regular medication with polypharmacy (≥5 medications) observed in 43% of participants; 12.2% had a significant ACB (≥3) with antidepressants being a major contributor. Anticholinergic medication use was associated with cognitive impairment, recent hospitalization (past 12 months), and depressive symptoms. After controlling for age, sex, and comorbidity, only the presence of depressive symptoms remained significantly associated with the use of anticholinergic medication (odds ratio 2.86; 95% confidence interval 1.48–5.51).

Clinically significant ACB was common in older Aboriginal Australians and was largely attributable to inappropriate use of tricyclic antidepressants. Greater awareness of medication-related risk factors among both health care professionals and Aboriginal communities can play an important role in improving health and quality of life outcomes.

To assess salt intake and its dietary sources using biochemical and self-report methods and to characterize salt intake according to sociodemographic and disease-related variables in a sample of the Brazilian population.

Population-based cross-sectional survey.

Salt intake was assessed by biochemical (24 h urinary Na excretion) and self-report methods (sodium FFQ, 24 h dietary recall, seasoned-salt questionnaire, discretionary-salt questionnaire and total reported salt intake).

Adults and older people (n 517) aged 20–80 years, living in Artur Nogueira, São Paulo, Brazil.

Mean salt intake based on 24 h urinary Na excretion and total reported salt intake was 10·5 and 11·0 g/d, respectively; both measures were significantly correlated. Discretionary salt and seasoned salt were the most important sources of salt intake (68·2 %). Men in the study consumed more salt than women as estimated by 24 h urinary Na excretion (11·7 v. 9·6 g salt/d; P<0·0001). Participants known to be hypertensive added more salt to their meals but consumed less salty ultra-processed foods. Waist circumference in both sexes and BMI were positively correlated with salt intake estimated by 24 h urinary Na excretion. In addition, regression analysis revealed that being a young male or having a high waist circumference was a predictor of higher salt intake.

Salt intake in this population was well above the recommended amount. The main source of salt intake came from salt added during cooking. Salt intake varied according to sex and waist circumference.

Improving dementia diagnosis rates in England has been a key strategic aim of the UK Government but the variation and low diagnosis rates are poorly understood. The aim of this study was to explore the variation in actual versus expected diagnosis of dementia across England, and how these variations were associated with general practice characteristics.

A cross-sectional, ecological study design using secondary data sources and median regression modelling was used. Data from the year 2011 for 7711 of the GP practices in England (92.7%). Associations of dementia diagnosis rates (%) per practice, calculated using National Health Service England’s ‘Dementia Prevalence Calculator’ and various practice characteristics were explored using a regression model.

The median dementia diagnosis rate was 41.6% and the interquartile range was 31.2–53.9%. Multivariable regression analysis demonstrated positive associations between dementia diagnosis rates and deprivation of the population, overall Quality and Outcomes Framework performance, type of primary care contract and size of practice list. Negative associations were found between dementia diagnosis rates and average experience of GPs in the practice and the proportion of the practice caseload over 65 years old.

Dementia diagnosis rates vary greatly across GP practices in England. This study has found independent associations between dementia diagnosis rates and a number of patient and practice characteristics. Consideration of these factors locally may provide targets for case-finding interventions and so facilitate timely diagnosis.

There is a lack of information regarding geographical differences in the incidence and prevalence of dementia diagnosis according to the degree of aging of the population. The objectives of this study were to analyze the rate of dementia diagnoses, and to compare the dementia subtypes and the clinical characteristics of the patients depending on the degree of aging of their municipalities.

We used data from the Registry of Dementias of Girona (ReDeGi), containing the cases of dementia diagnosed in the memory clinics of the Health Region of Girona, in Catalonia (Spain), during 2007–2012. The municipalities were classified by a cluster analysis as aged or young municipalities according to their proportion of older people using population ageing indicators. The incidence rates of dementia diagnosis in each type of municipality were compared.

The ReDeGi registered 4,314 cases in the municipalities under surveillance. The clinical incidence of dementia was lower in aged municipalities (4.5 vs. 6.1 cases per 1,000 person-years aged 65 and over). Patients from young municipalities had an increased frequency of behavioral and psychological symptoms of dementia.

The environment may influence the clinical manifestations of dementia that predispose people to visit health specialists and obtain a diagnosis.