scholarly journals 301 - Symposium social health: a pathway to inclusion and cognitive health

2021 ◽  
Vol 33 (S1) ◽  
pp. 20-23
Author(s):  
Myrra Vernooij-Dassen ◽  
Eline Verspoor ◽  
Claudia Hubers ◽  
Marta Lenart ◽  
Henrik Wiegelman ◽  
...  
Keyword(s):  
Risk Factor ◽  
Cognitive Functioning ◽  
Social Relations ◽  
Social Inclusion ◽  
Leisure Activities ◽  
Significant Risk ◽  
Social Health ◽  
High Educational Level ◽  
Protective Effects ◽  
Human Beings

Background:Inclusion is taken as a natural situation, until feelings of exclusion are perceived. Social relations are for human beings like water to plants. Social health has been defined in 1946 by the WHO as the social domain of health. It is an umbrella concept that covers how the individual relates to his or her social environment and vice versa. Social inclusion is a key marker or characteristic of social health, represented by specific markers such as participation in leisure activities.Objective:We aim to study theoretical mechanisms and social health markers relevant to inclusion and cognitive functioning.Methods:identification of mechanistic pathways and systematic review on the relationship between combinations of social health markers and cognitive functioning and dementia in healthy older adults.Results:We combined neurobiological and social pathways to guide our study. The search for social health markers yielded 4332 potentially relevant citations. Eleven articles were eligible for inclusion. Combining social health marker reflecting social exclusion (e.g. social isolation, financial deprivation, living alone and lacking basic social rights) revealed a significant risk factor for both the development of dementia and reduced cognitive functioning. A combination of a high educational level, high occupational complexity and participating in leisure activities was protective for good cognitive functioning and dementia.Conclusion:Several social health markers are a pathway to social inclusion and to cognitive functioning, with markers reflecting exclusion being a risk factor, while those reflection inclusion are associated with protective effects. These findings open doors for interventions using the potential of social health in prevention of cognitive decline and dementia.

scholarly journals A Capability Approach to Understanding Sport for Social Inclusion: Agency, Structure and Organisations

2017 ◽  
Vol 5 (2) ◽  
pp. 150-158 ◽  
Author(s):  
Naofumi Suzuki
Keyword(s):  
Social Relations ◽  
Social Inclusion ◽  
Capability Approach ◽  
Leisure Activities ◽  
Social Processes ◽  
Macro Level ◽  
The Social ◽  
Micro Level ◽  
Inclusive Society

Despite the global diffusion of the term social inclusion, as well as the use of sport to promote it, questions have been raised regarding the extent to which sport is able to contribute to transforming the exclusive nature of the social structure. The lack of analytical clarity of the concept has not helped to address these questions. This article proposes a conceptual framework based on Amartya Sen’s capability approach, considering social exclusion as the denial of social relations that leads to serious deprivation of important capabilities. A person’s capabilities could potentially be improved through micro-, meso-, and macro-level social processes. At the micro level, sport-based social inclusion programmes could offer such social relations to varying degrees, though sport’s values are only relative to other leisure activities. The scale of impact depends primarily on the meso-level processes, in which the size and quality of each programme can be improved through organisational learning, and secondarily on the macro-level processes whereby the organisational population is institutionalised. It is argued that more research needs to be done on the meso and macro levels, as they are concerned with the ultimate potential of sport to facilitate structural transformation towards more socially inclusive society.

Physical Illness and Suicide Risk in Rural Residents of Contemporary China

Crisis ◽  
2014 ◽  
Vol 35 (5) ◽  
pp. 330-337 ◽  
Author(s):  
Cun-Xian Jia ◽  
Lin-Lin Wang ◽  
Ai-Qiang Xu ◽  
Ai-Ying Dai ◽  
Ping Qin
Keyword(s):  
Risk Factor ◽  
Family Income ◽  
Rural China ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Health Condition ◽  
Physical Illness ◽  
Rural Residents ◽  
Increased Risk ◽  
Study Population

Background: Physical illness is linked with an increased risk of suicide; however, evidence from China is limited. Aims: To assess the influence of physical illness on risk of suicide among rural residents of China, and to examine the differences in the characteristics of people completing suicide with physical illness from those without physical illness. Method: In all, 200 suicide cases and 200 control subjects, 1:1 pair-matched on sex and age, were included from 25 townships of three randomly selected counties in Shandong Province, China. One informant for each suicide or control subject was interviewed to collect data on the physical health condition and psychological and sociodemographic status. Results: The prevalence of physical illness in suicide cases (63.0%) was significantly higher than that in paired controls (41.0%; χ2 = 19.39, p < .001). Compared with suicide cases without physical illness, people who were physically ill and completed suicide were generally older, less educated, had lower family income, and reported a mental disorder less often. Physical illness denoted a significant risk factor for suicide with an associated odds ratio of 3.23 (95% CI: 1.85–5.62) after adjusted for important covariates. The elevated risk of suicide increased progressively with the number of comorbid illnesses. Cancer, stroke, and a group of illnesses comprising dementia, hemiplegia, and encephalatrophy had a particularly strong effect among the commonly reported diagnoses in this study population. Conclusion: Physical illness is an important risk factor for suicide in rural residents of China. Efforts for suicide prevention are needed and should be integrated with national strategies of health care in rural China.

scholarly journals Higher premature atrial complex burden from the Holter examination predicts poor cardiovascular outcome

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ting-Chun Huang ◽  
Po-Tseng Lee ◽  
Mu-Shiang Huang ◽  
Pei-Fang Su ◽  
Ping-Yen Liu
Keyword(s):  
Risk Factor ◽  
Dose Response ◽  
Cox Model ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Cardiovascular Death ◽  
Specific Model ◽  
Distribution Model ◽  
All Cause Mortality ◽  
Quartile Group

AbstractPremature atrial complexes (PACs) have been suggested to increase the risk of adverse events. The distribution of PAC burden and its dose–response effects on all-cause mortality and cardiovascular death had not been elucidated clearly. We analyzed 15,893 patients in a medical referral center from July 1st, 2011, to December 31st, 2018. Multivariate regression driven by ln PAC (beats per 24 h plus 1) or quartiles of PAC burden were examined. Older group had higher PAC burden than younger group (p for trend < 0.001), and both genders shared similar PACs distribution. In Cox model, ln PAC remained an independent risk factor for all-cause mortality (hazard ratio (HR) = 1.09 per ln PAC increase, 95% CI = 1.06‒1.12, p < 0.001). PACs were a significant risk factor in cause-specific model (HR = 1.13, 95% CI = 1.05‒1.22, p = 0.001) or sub-distribution model (HR = 1.12, 95% CI = 1.04‒1.21, p = 0.004). In ordinal PAC model, 4th quartile group had significantly higher risk of all-cause mortality than those in 1st quartile group (HR = 1.47, 95% CI = 1.13‒1.94, p = 0.005), but no difference in cardiovascular death were found in competing risk analysis. In subgroup analysis, the risk of high PAC burden was consistently higher than in low-burden group across pre-specified subgroups. In conclusion, PAC burden has a dose response effect on all-cause mortality and cardiovascular death.

scholarly journals Serum syndecan-1 reflects organ dysfunction in critically ill patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Keiko Suzuki ◽  
Hideshi Okada ◽  
Kazuyuki Sumi ◽  
Hiroyuki Tomita ◽  
Ryo Kobayashi ◽  
...  
Keyword(s):  
Risk Factor ◽  
Critically Ill ◽  
Organ Dysfunction ◽  
Critically Ill Patients ◽  
Repeated Measures ◽  
Significant Risk ◽  
Mixed Effects ◽  
Mixed Effects Models ◽  
Endothelial Glycocalyx ◽  
Outcome Variable

AbstractSyndecan-1 (SDC-1) is found in the endothelial glycocalyx and shed into the blood during systemic inflammatory conditions. We investigated organ dysfunction associated with changing serum SDC-1 levels for early detection of organ dysfunction in critically ill patients. To evaluate the effect of SDC-1 on laboratory parameters measured the day after SDC-1 measurement with consideration for repeated measures, linear mixed effects models were constructed with each parameter as an outcome variable. A total of 94 patients were enrolled, and 831 samples were obtained. Analysis using mixed effects models for repeated measures with adjustment for age and sex showed that serum SDC-1 levels measured the day before significantly affected several outcomes, including aspartate aminotransferase (AST), alanine transaminase (ALT), creatinine (CRE), blood urea nitrogen (BUN), antithrombin III, fibrin degradation products, and D-dimer. Moreover, serum SDC-1 levels of the prior day significantly modified the effect between time and several outcomes, including AST, ALT, CRE, and BUN. Additionally, increasing serum SDC-1 level was a significant risk factor for mortality. Serum SDC-1 may be a useful biomarker for daily monitoring to detect early signs of kidney, liver and coagulation system dysfunction, and may be an important risk factor for mortality in critically ill patients.

Comorbidity and severity-of-illness risk adjustment for hospital-onset Clostridioides difficile infection using data from the electronic medical record

2020 ◽  
pp. 1-7
Author(s):  
Stephanie M. Cabral ◽  
Katherine E. Goodman ◽  
Natalia Blanco ◽  
Surbhi Leekha ◽  
Larry S. Magder ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Risk Adjustment ◽  
Community Hospital ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Bivariate Analysis ◽  
Patient Admissions ◽  
Clostridioides Difficile ◽  
Risk Adjustment Model

Abstract Objective: To determine whether electronically available comorbidities and laboratory values on admission are risk factors for hospital-onset Clostridioides difficile infection (HO-CDI) across multiple institutions and whether they could be used to improve risk adjustment. Patients: All patients at least 18 years of age admitted to 3 hospitals in Maryland between January 1, 2016, and January 1, 2018. Methods: Comorbid conditions were assigned using the Elixhauser comorbidity index. Multivariable log-binomial regression was conducted for each hospital using significant covariates (P < .10) in a bivariate analysis. Standardized infection ratios (SIRs) were computed using current Centers for Disease Control and Prevention (CDC) risk adjustment methodology and with the addition of Elixhauser score and individual comorbidities. Results: At hospital 1, 314 of 48,057 patient admissions (0.65%) had a HO-CDI; 41 of 8,791 patient admissions (0.47%) at community hospital 2 had a HO-CDI; and 75 of 29,211 patient admissions (0.26%) at community hospital 3 had a HO-CDI. In multivariable regression, Elixhauser score was a significant risk factor for HO-CDI at all hospitals when controlling for age, antibiotic use, and antacid use. Abnormal leukocyte level at hospital admission was a significant risk factor at hospital 1 and hospital 2. When Elixhauser score was included in the risk adjustment model, it was statistically significant (P < .01). Compared with the current CDC SIR methodology, the SIR of hospital 1 decreased by 2%, whereas the SIRs of hospitals 2 and 3 increased by 2% and 6%, respectively, but the rankings did not change. Conclusions: Electronically available patient comorbidities are important risk factors for HO-CDI and may improve risk-adjustment methodology.

scholarly journals Type-2 Diabetes as a Risk Factor for Severe COVID-19 Infection

2021 ◽  
Vol 9 (6) ◽  
pp. 1211
Author(s):  
Mahnaz Norouzi ◽  
Shaghayegh Norouzi ◽  
Alistaire Ruggiero ◽  
Mohammad S. Khan ◽  
Stephen Myers ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Factor ◽  
Inflammatory Responses ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Diabetic Patients ◽  
Angiotensin Converting Enzyme 2 ◽  
Immune System Dysfunction ◽  
Current Outbreak

The current outbreak caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), termed coronavirus disease 2019 (COVID-19), has generated a notable challenge for diabetic patients. Overall, people with diabetes have a higher risk of developing different infectious diseases and demonstrate increased mortality. Type 2 diabetes mellitus (T2DM) is a significant risk factor for COVID-19 progression and its severity, poor prognosis, and increased mortality. How diabetes contributes to COVID-19 severity is unclear; however, it may be correlated with the effects of hyperglycemia on systemic inflammatory responses and immune system dysfunction. Using the envelope spike glycoprotein SARS-CoV-2, COVID-19 binds to angiotensin-converting enzyme 2 (ACE2) receptors, a key protein expressed in metabolic organs and tissues such as pancreatic islets. Therefore, it has been suggested that diabetic patients are more susceptible to severe SARS-CoV-2 infections, as glucose metabolism impairments complicate the pathophysiology of COVID-19 disease in these patients. In this review, we provide insight into the COVID-19 disease complications relevant to diabetes and try to focus on the present data and growing concepts surrounding SARS-CoV-2 infections in T2DM patients.

scholarly journals Modelling the Spatial Distribution of ASF-Positive Wild Boar Carcasses in South Korea Using 2019–2020 National Surveillance Data

Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1208
Author(s):  
Jun-Sik Lim ◽  
Timothée Vergne ◽  
Son-Il Pak ◽  
Eutteum Kim
Keyword(s):  
Spatial Distribution ◽  
Risk Factor ◽  
South Korea ◽  
Wild Boar ◽  
African Swine Fever Virus ◽  
Significant Risk ◽  
African Swine Fever ◽  
Credible Interval ◽  
Imperfect Detection ◽  
Wild Boars

In September 2019, African swine fever (ASF) was reported in South Korea for the first time. Since then, more than 651 ASF cases in wild boars and 14 farm outbreaks have been notified in the country. Despite the efforts to eradicate ASF among wild boar populations, the number of reported ASF-positive wild boar carcasses have increased recently. The purpose of this study was to characterize the spatial distribution of ASF-positive wild boar carcasses to identify the risk factors associated with the presence and number of ASF-positive wild boar carcasses in the affected areas. Because surveillance efforts have substantially increased in early 2020, we divided the study into two periods (2 October 2019 to 19 January 2020, and 19 January to 28 April 2020) based on the number of reported cases and aggregated the number of reported ASF-positive carcasses into a regular grid of hexagons of 3-km diameter. To account for imperfect detection of positive carcasses, we adjusted spatial zero-inflated Poisson regression models to the number of ASF-positive wild boar carcasses per hexagon. During the first study period, proximity to North Korea was identified as the major risk factor for the presence of African swine fever virus. In addition, there were more positive carcasses reported in affected hexagons with high habitat suitability for wild boars, low heat load index (HLI), and high human density. During the second study period, proximity to an ASF-positive carcass reported during the first period was the only significant risk factor for the presence of ASF-positive carcasses. Additionally, low HLI and elevation were associated with an increased number of ASF-positive carcasses reported in the affected hexagons. Although the proportion of ASF-affected hexagons increased from 0.06 (95% credible interval (CrI): 0.05–0.07) to 0.09 (95% CrI: 0.08–0.10), the probability of reporting at least one positive carcass in ASF-affected hexagons increased from 0.49 (95% CrI: 0.41–0.57) to 0.73 (95% CrI: 0.66–0.81) between the two study periods. These results can be used to further advance risk-based surveillance strategies in the Republic of Korea.

Sign in / Sign up

Export Citation Format

Share Document