Abstract Background The impact of comorbidity on the risk of revision in patients undergoing Total Knee arthroplasty (TKA) and Total Hip Arthroplasty (THA) is not currently well known. The aim of this study was to analyze the impact of comorbidity on the risk of revision in TKA and THA. Methods Patients recorded in the Catalan Arthroplasty Register (RACat) between 01/01/2005 and 31/12/2016 undergoing TKA ( n = 49,701) and THA ( n = 17,923) caused by osteoarthritis were included. As main explanatory factors, comorbidity burden was assessed by the Elixhauser index, categorized, and specific comorbidities from the index were taken into account. Descriptive analyses for comorbidity burden and specific conditions were done. Additionally, incidence at 1 and 5 years’ follow-up was calculated, and adjusted Competing Risks models were fitted. Results A higher incidence of revision was observed when the number of comorbidities was high, both at 1 and 5 years for THA, but only at 1 year for TKA. Of the specific conditions, only obesity was related to the incidence of revision at 1 year in both joints, and at 5 years in TKA. The risk of revision was related to deficiency anemia and liver diseases in TKA, while in THA, it was related to peripheral vascular disorders, metastatic cancer and psychoses. Conclusions Different conditions, depending on the joint, might be related to higher revision rates. This information could be relevant for clinical decision-making, patient-specific information and improving the results of both TKA and THA.
Non-communicable diseases (NCDs) account for 71% of deaths worldwide and individual behaviours such as sedentariness play an important role on their development and management. However, the detrimental effect of daily sitting on multiple NCDs has rarely been studied. This study sought (i) to investigate the association between sitting time and main NCDs and multimorbidity in the population of Catalonia and (ii) to explore the effect of physical activity as a modifier of the associations between sitting time and health outcomes.Cross-sectional data from the 2016 National Health Survey of Catalonia were analyzed, and multivariable logistic regression, adjusting for socio-demographics and individual risk factors (tobacco and alcohol consumption, diet, hyperlipidaemia, hypertension, body mass index) was used to estimated odds ratios (ORs) and 95% confidence intervals (CIs) of the association between sitting time and NCDs.A total of 3320 people ≥15 years old were included in the study. Sitting more than 5 h/day was associated with a higher risk of cardiovascular disease (OR 1.90, 95% CI: 1.21-2.97), respiratory disease (OR 1.61, 95% CI: 1.13-2.30) and multimorbidity (OR 2.80, 95% CI: 1.53-5.15). Sitting more than 3 h/day was also associated with a higher risk of multimorbidity (OR 2.26, 95% CI: 1.23-4.16). Physical activity did not modify the associations between sitting time and any of the outcomes.Daily sitting time might be an independent risk factor for some NCDs, such as cardiovascular disease, respiratory disease and multimorbidity, independently of the level risk of physical inactivity.
Abstract Introduction The prevalence of depression and physical multimorbidity (pMM) might vary over the life course in a non-random fashion. The aims of our study were to: 1) assess the prevalence of depression and pMM over the life course; and 2) estimate changes in their pattern of association at different ages. Methods Data from 13,736 participants aged 26, 30, 34, 38, 42 and 46 years old of the British Child Study cohort was used. Individuals with information on current self-reported depression were selected as study sample. pMM (yes/no) caseness was defined as the coexistence of 2 or more self-reported physical conditions (e.g. asthma, diabetes, epilepsy). The prevalence of depression and pMM was calculated for each wave. To assess their relationship, prevalence ratios (PR) adjusted by gender, socioeconomic (e.g. educational level) and health-related variables (e.g. BMI and smoking status) and their 95% Confidence Intervals (95%CI) were obtained at each wave from multivariable Poisson models. Results Prevalence of depression varied with age (10.0% at age 26, 7.8% at age 38 and 18.3% at age 46) as did prevalence of pMM (37% at age 26, 15.6% at age 34, and 20.2% at age 46). A non-linear trend in the prevalence both of depression and pMM was observed with a decrease from age 26 to age 38 (34 for pMM) followed by a consistent increment to age 46. In all ages depression was significantly associated with pMM the magnitude ranging from PR: 1.52 (95%CI 1.41-1.65) at age 26 to PR: 1.96 (95%CI 1.72-2.23) at age 38. Conclusions There is consistent association between the prevalence of depression and pMM over different ages during adulthood. The non-linear pattern suggests differences in the type of conditions contributing to pMM at different ages (non-chronic in young adulthood vs chronic from middle adulthood). Further research on clusters and trajectories of different conditions over life course might be valuable to understand the association between depression and pMM. Key messages There is consistent association between the prevalence of depression and pMM over different ages during adulthood. They could be differences in the type of conditions contributing to depression related pMM at different ages (non-chronic in young adulthood vs chronic from middle adulthood).
In the working population, poor mental health is a significant problem whose prevalence rates and associated factors could differ by gender, especially in a period of socioeconomic changes. The aims of this study were: a) to determine the prevalence of poor mental health in the working population of Spain in 2011; b) to identify the association of this prevalence with socioeconomic and work-related variables for men and women separately; c) to determine if the patterns differ by gender. A cross-sectional study was conducted with data from the National Health Survey of Spain (2011). Of the 21,007 participants in the survey, we selected 7396 whose employment status was described as "working" The General Health Questionnaire (GHQ-12) was used as a screening tool to detect poor mental health. Prevalences were calculated and bivariate and multivariate logistic regression models were fitted to verify the association between variables. The prevalence of poor mental health was higher among women (19.9%) than men (13.9%), the overall prevalence being 16.8%. The variables associated with a higher prevalence were type of contract and work-related variables in men, and age and socioeconomic variables in women. This study shows that, in the working population of Spain, the prevalence of poor mental health and its related factors differ by gender. Poor mental health is mainly related to socioeconomic variables in women but is mostly associated with work-related variables in men. En población trabajadora, los problemas de salud mental son un problema significativo cuya prevalencia y factores asociados pueden diferir según el sexo, en especial durante un periodo de cambios socioeconómicos. Los objetivos de este estudio son: a) conocer la prevalencia de problemas de salud mental en población trabajadora de España en 2011; b) evaluar la asociación de esta prevalencia con variables socioeconómicas y laborales para hombres y mujeres por separado; c) determinar si los patrones difieren por sexos. Estudio transversal con datos de la Encuesta Nacional de Salud de España (2011). De los 21.007 participantes en la encuesta, se seleccionaron 7396 cuya situación laboral era «trabajando». Se utilizó el General Health Questionnaire (GHQ-12) como herramienta de cribado para detectar problemas de salud mental. Se calcularon las prevalencias y se realizaron modelos bivariados y multivariados de regresión logística para comprobar la asociación entre variables. La prevalencia de problemas de salud mental fue mayor entre las mujeres (19,9%) que entre los hombres (13,9%), con una prevalencia global del 16,8%. Las variables asociadas a una mayor prevalencia fueron el tipo de contrato y las relacionadas con el empleo remunerado entre hombres, y la edad y las variables socioeconómicas en las mujeres. En población trabajadora de España, la prevalencia de problemas de salud mental y sus factores relacionados difieren en función del sexo. Mientras en las mujeres la prevalencia podría estar más relacionada con factores socioeconómicos, en los hombres podría estarlo más con variables relacionadas con el empleo remunerado.
The aim of the current study was to identify specific patterns of physical multimorbidity and examine how these patterns associated with changes in social participation over time.We used latent class analysis to identify clusters of physical multimorbidity in 11,391 older adults. Mixed effects regression models were used to assess associations between physical multimorbidity clusters and changes in social participation over 15 years.Four clusters of physical multimorbidity were identified. All physical multimorbidity clusters were associated with a reduction in cultural engagement (e.g. visits to theatre, cinema, museums) over time, with the strongest association seen in the complex/multisystem cluster (β = -0.26, 95% CI = -0.38 to -0.15). Similar results emerged for leisure activities. Adjusting for depressive symptoms fully attenuated some associations. All physical multimorbidity clusters were associated with an increase in civic participation over time.Physical multimorbidity reduced some aspects of social participation over time, with specific combinations of conditions having increased risk of reductions.Supplemental data for this article is available online at http://dx.doi.org/10.1080/13607863.2021.2017847.
A continuum of socioeconomic status ranging from the least to the most privileged persons is evidenced in population studies, with profound implications for health and care.1 Individuals in the most disadvantaged social group suffer from extreme poverty and face several specific challenges to their health and healthcare.2 They frequently cannot meet their most basic needs (including their physiological needs, most acutely exemplified by homelessness) and are at a higher risk of health problems and accelerated ageing due to unhealthy habits (eg, unhealthy diet and drug consumption), harmful environmental and biological factors and social isolation.1–4 As a result, the most socially disadvantaged persons have higher rates of premature mortality, especially caused by suicide and violence, and higher prevalence of all types of diseases, particularly infectious diseases and mental disorders.2 5 Besides, care for chronic conditions is compromised for this population group, which relies to a substantial degree in emergency care, particularly in health systems that do not guarantee universal health coverage.5
Even considering the relative size of the most deprived extreme of the social continuum (eg, about 0.5% of the UK adult population in 2018 was considered homeless),6 the scale of …