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1.
J Psychosom Res ; 140: 110299, 2021 01.
Article in English | MEDLINE | ID: mdl-33242704

ABSTRACT

OBJECTIVE: To identify the factors associated with perceived COVID-19 risk among people living in the US. METHODS: A cross-sectional representative sample of 485 US residents was collected in mid-April 2020. Participants were asked about (a) perceptions of COVID-19 risk, (b) demographic factors known to be associated with increased COVID-19 risk, and (c) the impact of COVID-19 on different life domains. We used a three-step hierarchical linear regression model to assess the differential contribution of the factors listed above on perceived COVID-19 risk. RESULTS: The final model accounted for 16% of variability in perceived risk, F(18,458) = 4.8, p < .001. Participants who were White reported twice as much perceived risk as participants of color (B = -2.1, 95% CI[-3.4,-0.8]. Higher perceived risk was observed among those who reported a negative impact of the pandemic on their sleep (B = 1.5, 95% CI[0.8,2.1]) or work (B = 0.7, 95%CI[0.1,1.3]). The number of cases per capita in their state of residence, age, or proximity to someone with a COVID-19 diagnosis were not found to meaningfully predict perceived risk. CONCLUSIONS: Perceived risk was not found to be associated with known demographic risk factors, except that the effect of race/ethnicity was in the opposite direction of existing evidence. Perception of COVID-19 risk was associated with the perceived personal impact of the pandemic.


Subject(s)
COVID-19/psychology , Health Knowledge, Attitudes, Practice , Adult , COVID-19/epidemiology , Cross-Sectional Studies , Demography/statistics & numerical data , Female , Health Knowledge, Attitudes, Practice/ethnology , Humans , Male , Middle Aged , Racial Groups/psychology , Racial Groups/statistics & numerical data , Risk Assessment , Risk Factors , Sex Factors , United States/epidemiology
2.
Int J Geriatr Psychiatry ; 34(7): 999-1007, 2019 07.
Article in English | MEDLINE | ID: mdl-30901483

ABSTRACT

OBJECTIVE: To identify factors that predict admission to long-term care (LTC) and mortality among community-based, dependent older people in Ireland, who were in receipt of formal home support. METHODS: An audit was conducted of all community-dwelling older adults receiving government funded home support during 2017 in the Dublin North Central, Health Service Executive administrative area. Data were extracted from the Common Summary Assessment Report (CSAR), a mandatory form used in the provision of home support. Multiple logistic regression analysis was used to examine the factors associated with admission to LTC and mortality, with the results presented as odds ratios (OR) and 95% confidence intervals. RESULTS: The audit comprised 1597 community-dwelling older adults with a mean age of 83.3 (SD: 7.2) years. The prevalence of transition to LTC and mortality was 8% and 9%, respectively, during the 12-month period. Factors significantly associated with admission to LTC were "cognitive dysfunction" [OR 2.10 (1.41-3.14), P < .001] and the intensity of home support [OR 1.05 (1.01-1.06), P < .003], as measured by weekly formal care hours. Physical dependency and advanced age (aged 95 years +) were significantly associated with mortality in this population (P < .001). CONCLUSION: "Cognitive dysfunction" and intensity of formal home support were associated with transition to LTC, while physical dependency and advanced age were associated with mortality. Investment in personalised, cognitive-specific, services and supports are necessary to keep people with dementia and related cognitive impairments living at home for longer.


Subject(s)
Long-Term Care/statistics & numerical data , Aged , Aged, 80 and over , Cognitive Dysfunction/nursing , Dementia/nursing , Female , Hospitalization/statistics & numerical data , Humans , Independent Living , Ireland , Male , Odds Ratio , Prevalence
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