scholarly journals Post-COVID-19 Condition and Health Status

COVID ◽  
2022 ◽  
Vol 2 (1) ◽  
pp. 76-86
Author(s):  
Antarpreet Kaur ◽  
Chloe Michalopoulos ◽  
Suzanne Carpe ◽  
Soontharee Congrete ◽  
Hira Shahzad ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Health Status ◽  
Low Socioeconomic Status ◽  
General Health ◽  
Short Form ◽  
Cognitive Change ◽  
Longitudinal Assessment ◽  
Long Term Effects ◽  
Low Socioeconomic ◽  
Patient Reported

Background: Observational studies of the long-term effects of COVID-19 infection generally focus on individual symptoms rather than health status. Objective: Longitudinal assessment of general health status following COVID-19 infection. Design: Observational study, with data collected from two telephone surveys at 32 ± 10 and 89 ± 25 days after discharge from the hospital or emergency department (ED) for a COVID-19 infection. Medicaid or no insurance was our marker of low socioeconomic status (SES). Acute disease severity was determined by summing 10 severity markers (yes-no) from the health encounter. Baseline comorbidity was a modified Charlson Index. Participants: 40 patients. Mean age was 54 ± 15 years, 50% were female, and 40% had low socioeconomic status. Main Measures: (1) the 20-item Medical Outcomes Study Short-Form General Health Survey (SF-20); (2) Dyspnea (modified Medical Research Council); (3) Psychological symptoms (Patient Health Questionnaire for Anxiety and Depression); (4) Cognitive function (Cognitive Change Questionnaire); (5) Fatigue (Short Fatigue Questionnaire); (6) A 10-item review of systems (ROS) questionnaire. Key Results: Percentages with abnormal symptoms at the first and second surveys were (respectively): Dyspnea (40, 33), Fatigue (53, 50), Anxiety (33, 18), Depression (20, 10), PHQ-4 Composite (25, 13), and Cognitive (18, 10). Mean scores on the SF-20 subscales, Physical Functioning, Role Functioning, Social Functioning, Health Perception, Mental Health, and Pain were numerically lower than means from a published study of elderly outpatients. With the exception of Pain, all SF-20 subscale scores improved significantly by the second survey. In multivariable analyses, dyspnea was predictive of impairment in all SF-20 subscales at the second survey. Conclusions: COVID-19 infection causes persistent abnormality across multiple patient-reported outcome areas, including health status. The persistence of impairment in each health status component is influenced by baseline dyspnea.

Aging Expectations are Associated With Physical Activity and Health Among Older Adults of Low Socioeconomic Status

2015 ◽  
Vol 23 (2) ◽  
pp. 180-186 ◽  
Author(s):  
Shilpa Dogra ◽  
Ban Al-Sahab ◽  
James Manson ◽  
Hala Tamim
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Socioeconomic Status ◽  
Low Socioeconomic Status ◽  
Short Form ◽  
Physical Activity Participation ◽  
Activity Participation ◽  
Linear Regression Models ◽  
Low Socioeconomic ◽  
Aging Expectations

The purpose of the current study was to determine whether aging expectations (AE) are associated with physical activity participation and health among older adults of low socioeconomic status (SES). A cross-sectional analysis of a sample of 170 older adults (mean age 70.9 years) was conducted. Data on AE, physical activity, and health were collected using the 12 item Expectations Regarding Aging instrument, the Healthy Physical Activity Participation Questionnaire, and the Short Form-36, respectively. Adjusted linear regression models showed significant associations between AE and social functioning, energy/vitality, mental health, and self-rated general health, as well as physical activity. These results suggest that AE may help to better explain the established association between low SES, low physical activity uptake, and poor health outcomes among older adults.

Tomorrow never knows: Paradoxical effects of a future prime on performance among low socioeconomic status college students

2014 ◽  
Author(s):  
Sarah Dayle Herrmann ◽  
Jessica Bodford ◽  
Robert Adelman ◽  
Oliver Graudejus ◽  
Morris Okun ◽  
...  
Keyword(s):  
College Students ◽  
Socioeconomic Status ◽  
Low Socioeconomic Status ◽  
Low Socioeconomic ◽  
Paradoxical Effects

scholarly journals Home Language and Literacy Environments and Early Literacy Trajectories of Low‐Socioeconomic Status Chilean Children

2020 ◽  
Vol 91 (6) ◽  
pp. 2042-2062
Author(s):  
Susana Mendive ◽  
Mayra Mascareño Lara ◽  
Daniela Aldoney ◽  
J. Carola Pérez ◽  
José P. Pezoa
Keyword(s):  
Socioeconomic Status ◽  
Early Literacy ◽  
Low Socioeconomic Status ◽  
Home Language ◽  
Language And Literacy ◽  
Low Socioeconomic ◽  
Literacy Environments

scholarly journals Association of socioeconomic status with medical assistance in dying: a case–control analysis

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e043547
Author(s):  
Donald A Redelmeier ◽  
Kelvin Ng ◽  
Deva Thiruchelvam ◽  
Eldar Shafir
Keyword(s):  
Socioeconomic Status ◽  
Palliative Care ◽  
Low Socioeconomic Status ◽  
Case Control ◽  
Control Analysis ◽  
Medical Assistance ◽  
Low Socioeconomic ◽  
Medical Assistance In Dying ◽  
Income Status ◽  
Economic Constraints

ObjectivesEconomic constraints are a common explanation of why patients with low socioeconomic status tend to experience less access to medical care. We tested whether the decreased care extends to medical assistance in dying in a healthcare system with no direct economic constraints.DesignPopulation-based case–control study of adults who died.SettingOntario, Canada, between 1 June 2016 and 1 June 2019.PatientsPatients receiving palliative care under universal insurance with no user fees.ExposurePatient’s socioeconomic status identified using standardised quintiles.Main outcome measureWhether the patient received medical assistance in dying.ResultsA total of 50 096 palliative care patients died, of whom 920 received medical assistance in dying (cases) and 49 176 did not receive medical assistance in dying (controls). Medical assistance in dying was less frequent for patients with low socioeconomic status (166 of 11 008=1.5%) than for patients with high socioeconomic status (227 of 9277=2.4%). This equalled a 39% decreased odds of receiving medical assistance in dying associated with low socioeconomic status (OR=0.61, 95% CI 0.50 to 0.75, p<0.001). The relative decrease was evident across diverse patient groups and after adjusting for age, sex, home location, malignancy diagnosis, healthcare utilisation and overall frailty. The findings also replicated in a subgroup analysis that matched patients on responsible physician, a sensitivity analysis based on a different socioeconomic measure of low-income status and a confirmation study using a randomised survey design.ConclusionsPatients with low socioeconomic status are less likely to receive medical assistance in dying under universal health insurance. An awareness of this imbalance may help in understanding patient decisions in less extreme clinical settings.

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