Explore the vast range of titles available.

The present study aimed to assess the association between sedentary behavior and sarcopenia among adults aged ≥65 years. Cross-sectional data from the Study on Global Ageing and Adult Health were analyzed. Sarcopenia was defined as having low skeletal muscle mass and either a slow gait speed or a weak handgrip strength. Self-reported sedentary behavior was assessed as a continuous variable (hours per day) and also as a categorical variable (0–<4, 4–<8, 8–<11, ≥11 hours/day). Multivariable logistic regression was conducted to assess the association between sedentary behavior and sarcopenia. Analyses using the overall sample and country-wise samples were conducted. A total of 14,585 participants aged ≥65 years were included in the analysis. Their mean age was 72.6 (standard deviation, 11.5) years and 55% were females. Compared to sedentary behavior of 0–<4 hours/day, ≥11 hours/day was significantly associated with 2.14 (95% CI = 1.06–4.33) times higher odds for sarcopenia. The country-wise analysis showed that overall, a one-hour increase in sedentary behavior per day was associated with 1.06 (95% CI = 1.04–1.10) times higher odds for sarcopenia, while the level of between-country heterogeneity was low (I2 = 12.9%). Public health and healthcare practitioners may wish to target reductions in sedentary behavior to aid in the prevention of sarcopenia in older adults.

We tackle two limitations of standard instrumental variable regression in experimental and observational studies: restricted estimation to the conditional mean of the outcome and the assumption of a linear relationship between regressors and outcome. More flexible regression approaches that solve these limitations have already been developed but have not yet been adopted in causality analysis. The paper develops an instrumental variable estimation procedure building on the framework of generalized additive models for location, scale and shape. This enables modelling all distributional parameters of potentially complex response distributions and non-linear relationships between the explanatory variables, instrument and outcome. The approach shows good performance in simulations and is applied to a study that estimates the effect of rural electrification on the employment of females and males in the South African province of KwaZulu-Natal. We find positive marginal effects for the mean for employment of females rates, negative effects for employment of males and a reduced conditional standard deviation for both, indicating homogenization in employment rates due to the electrification programme. Although none of the effects are statistically significant, the application demonstrates the potentials of using generalized additive models for location, scale and shape in instrumental variable regression for both to account for endogeneity and to estimate treatment effects beyond the mean.

AbstractBackground The aim of this study was to assess the association between levels of physical activity and oral health in adults residing in Spain.Methods Cross-sectional data from the Spanish National Health Survey 2017 were analysed (n = 17,777 adults aged ≥15 years; 52.0% females). The International Physical Activity Questionnaire (IPAQ) short form was used to measure physical activity. Oral health was self-reported through eight variables. Covariates included were sex, age, marital status, education, obesity, smoking and alcohol consumption.Results Dental caries (19.8% vs 27.8%), dental extraction (72.7% vs 75.4%), gingival bleeding (15.5% vs 19.1%), tooth movement (4.3% vs 5.9%) and missing tooth (57.9% vs 62.5%) were statistically significantly less frequent in the sufficient than insufficient physical activity group, whereas dental filling (74.2% vs 70.9%), dental material (36.6% vs 34.8%) and no missing tooth and no material (28.2% vs 25.1%) were statistically significantly more common. After adjustment, there was a negative relationship between physical activity and dental caries (OR = 0.72; 95%CI = 0.66-0.78), gingival bleeding (OR = 0.79; 95%CI = 0.72-0.86), tooth movement (OR = 0.83; 95%CI = 0.71-0.96) and missing tooth (OR = 0.91; 95%CI = 0.85-0.98). In contrast, physical activity was positively associated with dental material (OR = 1.16; 95%CI = 1.07-1.25).Conclusions Participation in physical activity is favourably associated with some but not all self-reported oral health correlates.

We measured the BASAL breathing frequency following an overnight fast in adult, non‐pregnant/non‐lactating, inactive mammals ranging in body mass from 15 to 5520 kg. The data included results from 338 individual animals from 34 species that were divided into terrestrial, semi‐aquatic (Otariidae and Phocidae) and aquatic mammals. Following attempts to limit the collection of breathing frequency using a basal definition and to correct the analysis phylogenetically, our results suggest that there are differences in the allometric mass‐exponent between terrestrial and aquatic/semi‐aquatic mammals. An allometric regression model, whereby both body mass and breathing frequency were transformed using log10, suggested that the allometric mass exponent for terrestrial mammals (−0.303) was different from both aquatic mammals (−0.124) and semi‐aquatic mammals (−0.091). For semi‐aquatic mammals, the breathing frequency was lower in water, but we detected no association between the breathing frequency and the temperature of the medium (water or air). We propose that allometric studies of cardiorespiratory function should, if possible, adhere to the basal definition during data collection, similar to that used for metabolic rate. Such data will provide valuable information for comparative medicine of large species that are difficult to study, for which controlled baseline data might be difficult to obtain. What is the central question of this study? In this study, we examine the relationship between breathing frequency and body mass in mammals from different habitats (aquatic, semi‐aquatic and terrestrial), accounting for phylogeny. What is the main finding and its importance? Similar to past studies, the present results suggest that the respiratory frequency scales differently in aquatic/semi‐aquatic mammals compared with terrestrial mammals. However, the mass‐exponent (slope) for aquatic/semi‐aquatic mammals is less steep in comparison to past studies.

Transcranial direct-current stimulation (tDCS) of the cerebellum is a promising non-invasive neuromodulatory technique being proposed for the treatment of neurological and neuropsychiatric disorders. However, there is a lack of knowledge about how externally applied currents affect neuronal spiking activity in cerebellar circuits in vivo. We investigated how Cb-tDCS affects the firing rate of Purkinje cells (PC) and non-PC in the mouse cerebellar cortex to understand the underlying mechanisms behind the polarity-dependent modulation of neuronal activity induced by tDCS. Mice (n=9) were prepared for the chronic recording of local field potentials (LFPs) to assess the actual electric field gradient imposed by Cb-tDCS in our experimental design. Single-neuron extracellular recording of PCs in awake (n=24) and anesthetized (n=27) mice was combined with juxtacellular recordings and subsequent staining of PC with neurobiotin under anesthesia (n=8) to correlate their neuronal orientation with their response to Cb-tDCS. Finally, a high-density Neuropixels recording system was used to demonstrate the relevance of neuronal orientation during the application of Cb-tDCS in awake mice (n=6). In this study, we observe that Cb-tDCS induces a heterogeneous polarity-dependent modulation of the firing rate of PCs and non-PC in the mouse cerebellar cortex. We demonstrate that the apparently heterogeneous effects of tDCS on PC activity can be explained by taking into account the somatodendritic orientation relative to the electric field. Our findings highlight the need to consider neuronal orientation and morphology to improve tDCS computational models, enhance stimulation protocol reliability, and optimize effects in both basic and clinical applications.

Unmet healthcare needs are defined as situations in which individuals required medical care within the past year but were unable to receive it. Among individuals with chronic conditions, such gaps in care may lead to serious complications, although previous studies during the COVID-19 pandemic remain limited. Therefore, this study aimed to address those gaps by examining long-term trends and identifying vulnerable populations among individuals with hypertension or type 2 diabetes mellitus (T2DM) in South Korea. We analyzed data from the Korean Community Health Survey from 2009 to 2023, including patients aged 30 years and older diagnosed with hypertension or T2DM ( n  = 2,704,712; 1,214,521 males [44.90%]). Among patients who reported experiencing unmet healthcare needs, only those with hypertension or T2DM were included in this analysis. Temporal trends in unmet healthcare needs were examined using complex-sample analyses and pandemic-related changes in temporal slopes were evaluated using weighted linear regression models with β-coefficients. Vulnerable subgroups were identified based on covariates defined according to Andersen’s behavioral model, using weighted odds ratios (wORs) from logistic regression models. From 2009 to 2023, the prevalence of unmet healthcare needs decreased from 16.02% to 4.76% among patients with hypertension and from 15.93% to 4.60% among those with T2DM. The lowest prevalence was observed at the onset of the COVID-19 pandemic in 2020; however, during the pandemic period, unmet needs subsequently reversed into an increasing trend, with statistically significant upward slopes (hypertension: β diff , 0.487 [95% CI, 0.458–0.516]; T2DM: 0.527 [0.481–0.573]). Risk factors for unmet healthcare needs included being females (hypertension: wOR, 1.44 [95% CI, 1.41–1.48]; T2DM: 1.46 [1.41–1.51]), being aged 30–44 years (hypertension: 1.70 [1.62–1.78]; T2DM: 1.93 [1.80–2.07]), and living in a single-person household (hypertension: 1.82 [1.77–1.88]; T2DM: 1.89 [1.80–1.97]). This study analyzed nationally representative data from South Korea, showing that unmet healthcare needs among patients with hypertension or T2DM declined overall but increased after the onset of the COVID-19 pandemic. Vulnerable subgroups were identified, underscoring the need for sustained and targeted management strategies.

Purpose Multimorbidity (i.e., ≥ 2 chronic conditions) poses a challenge for health systems and governments, globally. Several studies have found inverse associations between multimorbidity and quality of life (QoL). However, there is a paucity of studies from low- and middle-income countries (LMICs), especially among the older population, as well as studies examining mediating factors in this association. Thus, the present study aimed to explore the associations, and mediating factors, between multimorbidity and QoL among older adults in LMICs. Methods Cross-sectional nationally representative data from the Study on Global Ageing and Adult Health were analyzed. A total of 11 chronic conditions were assessed. QoL was assessed with the 8-item WHO QoL instrument (range 0–100) with higher scores representing better QoL. Multivariable linear regression and mediation analyses were conducted to assess associations. Results The final sample consisted of 34,129 adults aged ≥ 50 years [mean (SD) age 62.4 (16.0) years; age range 50–114 years; 52.0% females]. Compared to no chronic conditions, 2 (b-coefficient − 5.89; 95% CI − 6.83, − 4.95), 3 (− 8.35; − 9.63, − 7.06), 4 (− 10.87; − 12.37, − 9.36), and ≥ 5 (− 13.48; − 15.91, − 11.06) chronic conditions were significantly associated with lower QoL, dose-dependently. The mediation analysis showed that mobility (47.9%) explained the largest proportion of the association between multimorbidity and QoL, followed by pain/discomfort (43.5%), sleep/energy (35.0%), negative affect (31.9%), cognition (20.2%), self-care (17.0%), and interpersonal activities (12.0%). Conclusion A greater number of chronic conditions was associated with lower QoL dose-dependently among older adults in LMICs. Public health and medical practitioners should aim to address the identified mediators to improve QoL in patients with multimorbidity.

Regulatory T cells (Tregs) are a distinctive subset of CD4+ T cells critical in self-tolerance maintenance to prevent the development of autoimmunity. The mechanisms by which these cells provide immune regulation are numerous and, consequently, deeply involved in the pathogenesis of many autoimmune disorders. Treg-based adoptive cell transfer (ACT) therapy has generated interest as a novel, promising strategy to restore self-tolerance in autoimmunity. Polyclonal Treg-based ACT therapy was first implemented in clinical trials, presenting adequate safety profiles. Subsequent preclinical studies have shown antigen-specific Tregs to be safer and more effective than polyclonal approaches, so research has recently moved in this direction. Antigen-specificity can be conferred to Tregs by viral transduction of genes coding for engineered T cell receptors (eTCRs) or chimeric antigen receptors (CARs), with encouraging outcomes in different animal models of autoimmunity. This review focuses on the biology of Tregs, as well as on current preclinical and clinical data for Treg-based ACT in the field of autoimmunity.

The chaotic nature of ocean motion is a major challenge that hinders the discovery of spatio-temporal current routes that govern the transport of material. Certain material, such as oil spills, pose significant environmental threats and these are enhanced by the fact that they evolve in a chaotic sea, in a way which still nowadays is far from being systematically anticipated. Recently such an oil spill event has affected the Mediterranean coast of several Middle Eastern countries. No accidents were reported for these spills previous to their arrival at the coast, and therefore there was no hint of their origin. Modelling such an event, in which uncertainties are increased due to the lack of information on where and when the spills was produced, stretches available technologies to their limits, and requires the use of novel ideas that help to understand the essential features of oil and tar transport by ocean currents. In this regard Lagrangian Coherent Structures enable us to find order within ocean chaos and provide powerful insights into chaotic events and their relationships over different locations and times like the one addressed. Using the observed locations of the oil impacting the coast at specific times, we seek to determine its original location and the time it was released in the open ocean. We have determined both using a combination of earlier satellite observations and computational modelling of the time evolution. The observed agreement between modeled cases and satellite observations highlights the power of these ideas.

PurposeFood insecurity and multimoribidity (i.e., ≥ 2 chronic conditions) may be linked bidirectionally, but there are no studies on this topic from LMICs. Therefore, the aim of the present study was to examine the association between food insecurity and physical multimorbidity in a large representative sample of older adults from six LMICs.MethodsCross-sectional, community-based data on adults aged ≥ 50 years from the World Health Organization’s Study on Global AGEing and Adult Health (SAGE) conducted in China, Ghana, India, Mexico, Russia, and South Africa were analyzed. A total of 11 chronic physical conditions were assessed. Past 12 month food insecurity was assessed with two questions on frequency of eating less and hunger due to lack of food. Multivariable logistic regression analysis was conducted to assess the associations.ResultsData on 34,129 adults aged ≥ 50 years [mean (SD) age 62.4 (16.0) years; age range 50–114 years; 47.9% males] were analyzed. After adjustment for potential confounders, in the overall sample, compared to being food secure, moderate and severe food insecurity were associated with 1.29 (95% CI 1.06–1.56) and 1.56 (95% CI 1.13–2.16) times higher odds for multimorbidity, respectivelyConclusionFood insecurity was associated with greater odds for multimorbidity in older adults from LMICs. Addressing food insecurity in the general population may reduce risk for multimorbidity, while screening for food insecurity and addressing it among those with multimorbidity may lead to better clinical outcomes, pending future longitudinal research