A cross-sectional analysis of the burden of respiratory disease and engagement with the respiratory outpatient service amongst hospitalised patients referred to the social inclusion team

2021 ◽  
Author(s):  
Sandra Green ◽  
Eoin Hunt ◽  
Sarah Jayne Miggins ◽  
Tara Mc Ginty
Keyword(s):  
Respiratory Disease ◽  
Social Inclusion ◽  
Outpatient Service ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Hospitalised Patients ◽  
The Social ◽  
Sectional Analysis

scholarly journals Social Vulnerability in Patients with Multimorbidity: A Cross-Sectional Analysis

2019 ◽  
Vol 16 (7) ◽  
pp. 1244 ◽  
Author(s):  
Tu Nguyen ◽  
Patrice Ngangue ◽  
Tarek Bouhali ◽  
Bridget Ryan ◽  
Moira Stewart ◽  
...  
Keyword(s):  
Cardiovascular Diseases ◽  
Social Vulnerability ◽  
Chronic Conditions ◽  
Vulnerability Index ◽  
Social Vulnerability Index ◽  
Cross Sectional ◽  
Term Care ◽  
Cross Sectional Analysis ◽  
The Social ◽  
Sectional Analysis

Background: Social aspects play an important role in individual health and should be taken into consideration in the long-term care for people with multimorbidity. Purposes: To describe social vulnerability, to examine its correlation with the number of chronic conditions, and to investigate which chronic conditions were significantly associated with the most socially vulnerable state in patients with multimorbidity. Methods: Cross-sectional analysis from the baseline data of the Patient-Centred Innovations for Persons with Multimorbidity (PACEinMM) Study. Participants were patients attending primary healthcare settings in Quebec, Canada. A social vulnerability index was applied to identify social vulnerability level. The index value ranges from 0 to 1 (1 as the most vulnerable). Spearman’s rank correlation coefficient was calculated for the correlation between the social vulnerability index and the number of chronic conditions. Logistic regression was applied to investigate which chronic conditions were independently associated with the most socially vulnerable state. Results: There were 301 participants, mean age 61.0 ± 10.5, 53.2% female. The mean number of chronic health conditions was 5.01 ± 1.82, with the most common being hyperlipidemia (78.1%), hypertension (69.4%), and obesity (54.2%). The social vulnerability index had a median value of 0.13 (range 0.00–0.78). There was a positive correlation between the social vulnerability index and the number of chronic conditions (r = 0.24, p < 0.001). Obesity, depression/anxiety, and cardiovascular diseases were significantly associated with the most socially vulnerable patients with multimorbidity. Conclusions: There was a significant correlation between social vulnerability and the total number of chronic conditions, with depression/anxiety, obesity, and cardiovascular diseases being the most related to social vulnerability.

scholarly journals Social support network typologies and their association with dementia and depression among older adults in Singapore: a cross-sectional analysis

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e025303 ◽  
Author(s):  
Ying Wen Lau ◽  
Janhavi Ajit Vaingankar ◽  
Edimansyah Abdin ◽  
Saleha Shafie ◽  
Anitha Jeyagurunathan ◽  
...  
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Logistic Regression ◽  
Support Network ◽  
Social Support Network ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
The Social ◽  
Sectional Analysis ◽  
Network Type

ObjectivesTo examine the social support network type and its associations with depression and dementia among older adults in Singapore.DesignThis study is a cross-sectional analysis of data from the Well-being of the Singapore Elderly study. The Practitioner Assessment of Network Type was used to identify five social support network types. Odds Ratios (OR) of dementia and depression were estimated with logistic regression and multinomial logistic regression, respectively, adjusted for sociodemographic variables.SettingSingapore.Outcome measures10/66 criteria and Automated Geriatric Examination for Computer Assisted Taxonomy computer algorithm.Participants2421 older adults aged 60 years and above, and their informants.ResultsLogistic regression revealed that as compared with participants in the family dependent social support network type, those in the locally integrated social support network type were negatively associated with dementia. It was observed that it is the older adults’ perception of the quality of social interaction that influences the likelihood of depression.ConclusionThe social support network typology presents knowledge about the older adults’ social network profile and their cognitive functioning-ability which would help stakeholders better identify older adults who might be at risk of cognitive decline or experiencing delay in diagnosis of dementia.

scholarly journals An Anthropological Discourse to Christian Views on Polygamy and Plural Relationships in Uganda

2021 ◽  
Vol 4 (1) ◽  
pp. 8-15
Author(s):  
Tabitha Naisiko
Keyword(s):  
Field Data ◽  
Situation Analysis ◽  
Cross Sectional ◽  
Marriage And Family ◽  
Cross Sectional Analysis ◽  
The Social ◽  
Personal Reflections ◽  
Sectional Analysis ◽  
Anthropological Discourse

Marriage and family are prominent institutions in society because they define a person’s essence of life and identity, through providing means and conditions for survival, participation and sustenance. Marriage thus has forms that are inclusive, given the social realities in an area. However, as society changes, we realise that the institution is also changing to respond to new anthropological demands. This paper deals with the polygamous form of marriage and the accruing transitions as well as tensions in this institution. The paper gives a cross sectional analysis of the phenomenon, discussing its continuities and discontinuities. The paper is aimed at highlighting the anthropological basis of marriage so that society may not judge people at the periphery, but support and understand them as well as regulate the institution of marriage to be inclusive. In order to discuss the surrounding tensions, the discussion will concern polygamy and Plural relationships based on situation analysis in Uganda, personal reflections, literature and field data.

scholarly journals Examination of patient characteristics and hydroxychloroquine use based on the US Food and Drug Administration’s recommendation: a cross-sectional analysis in New York

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e042965
Author(s):  
Eun Ji Kim ◽  
Kevin Coppa ◽  
Jamie S Hirsch ◽  
Sara Abrahams ◽  
Jennifer Johnson ◽  
...  
Keyword(s):  
Clinical Outcomes ◽  
Disease Severity ◽  
Composite Outcome ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Fda Approval ◽  
Hospitalised Patients ◽  
Number Of Patients ◽  
The Us ◽  
Sectional Analysis

ObjectiveTo describe the pattern of hydroxychloroquine use and examine the association between hydroxychloroquine use and clinical outcomes arising from changes in the US Food and Drug Administration (FDA)’s recommendation during the coronavirus disease 2019 (COVID-19) pandemic.DesignA retrospective cross-sectional analysis.Setting and participantsWe included hospitalised adult patients at Northwell Health hospitals with confirmed COVID-19 infections between 1 March 2020 and 11 May 2020. We categorised changes in the FDA’s recommendation as pre-FDA approval (1 March 2020–27 March 2020), FDA approval (28 March 2020–23 April 2020), and FDA warning (24 April 2020–11 May 2020). The hydroxychloroquine-treated group received at least one dose within 48 hours of hospital admission.Primary outcomeA composite of intubation and inpatient death.ResultsThe percentages of patients who were treated with hydroxychloroquine were 192/2202 (8.7%) pre-FDA approval, 2902/6741 (43.0%) FDA approval, and 176/1066 (16.5%) FDA warning period (p<0.001). Using propensity score matching, there was a higher rate of the composite outcome among patients treated with hydroxychloroquine (49/192, 25.5%) compared with no hydroxychloroquine (66/384, 17.2%) in the pre-FDA approval period (p=0.03) but not in the FDA approval period (25.5% vs 22.6%, p=0.08) or the FDA warning (21.0% vs 15.1%, p=0.11) periods. Coincidently, there was an increase in number of patients with COVID-19 and disease severity during the FDA approval period (24.1% during FDA approval vs 21.4% during pre-FDA approval period had the composite outcome). Hydroxychloroquine use was associated with increased odds of the composite outcome during the pre-FDA approval period (OR=1.65 (95% CI 1.09 to 2.51)) but not during the FDA approval (OR=1.17 (95% CI 0.99 to 1.39)) and FDA warning (OR=1.50 (95% CI 0.94 to 2.39)) periods.ConclusionsHydroxychloroquine use was associated with adverse clinical outcomes only during the pre-FDA approval period but not during the FDA approval and warning periods, even after adjusting for concurrent changes in the percentage of patients with COVID-19 treated with hydroxychloroquine and the number (and disease severity) of hospitalised patients with COVID-19 infections.

Evaluation of the prevalence and nutritional and social determinants of overweight in a population of schoolchildren: a cross-sectional analysis of 5,037 children

2012 ◽  
Vol 58 (4) ◽  
pp. 472-476 ◽  
Author(s):  
Caroline Filla Rosaneli ◽  
Flavia Auler ◽  
Carla Barreto Manfrinato ◽  
Claudine Filla Rosaneli ◽  
Caroline Sganzerla ◽  
...  
Keyword(s):  
Social Determinants ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

Quantitative Clinical Characteristics of 53 Patients with MPS VII: A Cross-Sectional Analysis

2017 ◽  
Vol 48 (S 01) ◽  
pp. S1-S45
Author(s):  
M. Zielonka ◽  
S. Garbade ◽  
S. Kölker ◽  
G. Hoffmann ◽  
M. Ries
Keyword(s):  
Clinical Characteristics ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Mps Vii ◽  
Sectional Analysis

Fracture prevalence in children 0-19 years-old in Mexico: A 10-year cross-sectional analysis

2019 ◽  
Author(s):  
Patricia Clark ◽  
Annarella Barbato ◽  
Miguel Angel Guagnelli ◽  
Jose Alberto Rascon ◽  
Edgar Denova ◽  
...  
Keyword(s):  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Fracture Prevalence ◽  
Sectional Analysis
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