A population-based cohort study of socio-demographic risk factors for COVID-19 deaths in Sweden.
Ontology highlight
ABSTRACT:
SUBMITTER: Drefahl S
PROVIDER: S-EPMC7547672 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
Publications
A population-based cohort study of socio-demographic risk factors for COVID-19 deaths in Sweden.
Drefahl Sven S Wallace Matthew M Mussino Eleonora E Aradhya Siddartha S Kolk Martin M Brandén Maria M Malmberg Bo B Andersson Gunnar G
Nature communications 20201009 1
As global deaths from COVID-19 continue to rise, the world's governments, institutions, and agencies are still working toward an understanding of who is most at risk of death. In this study, data on all recorded COVID-19 deaths in Sweden up to May 7, 2020 are linked to high-quality and accurate individual-level background data from administrative registers of the total population. By means of individual-level survival analysis we demonstrate that being male, having less individual income, lower ...[more]
Similar Datasets
Project description:Abstract Background Migrants and ethnic minorities have been shown to be at increased risk of hospitalization from COVID-19, our aim was to analyze the contribution of socioeconomic and demographic risk factors on hospital admissions for COVID-19 among migrants and ethnic minorities compared to the majority population. Methods We used nationwide register data on all hospitalized COVID-19 cases between February and June 2020 (n = 2232) and random controls from the general population (n = 498117). We performed logistic regression analyses, adjusting for age, sex, comorbidity, and socioeconomic and demographic factors. Main outcome measure was Hospitalization with COVID-19. Odds ratios (OR) and 95% confidence intervals (95% CI) are estimated by using logistic regression analyses, adjusting for age, sex, comorbidity, and socioeconomic and demographic factors. Results Among 2232 COVID-19 cases, the OR of hospitalization with COVID-19 among immigrants and descendants of Non-Western origin was 2.5 times higher (95% CI: 2.23 to 2.89) than that of the majority population, with most pronounced results among individuals from Iraq, Morocco, Pakistan, and Somalia. The OR was largely attributed to comorbidity and socioeconomic factors, especially household size, occupation, and population density. Conclusion There is a significantly higher OR of hospitalization with COVID-19 among Non-Western migrants and ethnic minorities compared with ethnic Danes. This knowledge is crucial for health policymakers and practitioners in both the current and future pandemics to identify more vulnerable groups and target prevention initiatives.
| S-EPMC8586727 | biostudies-literature
Project description:BackgroundMonitoring the characteristics and associated factors for death among pregnant and postpartum women with coronavirus disease 19 (COVID-19) is necessary. We investigated the clinical characteristics and risk factors associated with maternal deaths in a nationwide cohort of Brazil.MethodsThis was a population-based cohort of all pregnant and postpartum women hospitalised with COVID-19 notified to the Sistema de Informação de Vigilância Epidemiológica da Gripe of Brazil (SIVEP-Gripe), from February 2020 to September 2021. The primary outcome was time to in-hospital death, with risk factors analysed with univariable and multivariable Cox proportional hazards regression models.ResultsCumulative observation time was 248 821 person-days from hospital admission to the end of follow-up for 15 105 individuals. There were 1858 deaths (12.3%) for a maternal mortality rate of 7.5 (95% CI 7.1-7.8) per 1000 patients-days. The cumulative mortality increased over time. Black/Brown ethnicity had a higher risk of death than women self-identifying as White. Women in the North, Northeast, Central-West and Southeast regions had higher risk of death than women in the South region. The characteristics independently associated with death were a postpartum status on admission [adjusted hazard ratio, HR 1.4 (95% confidence interval, CI 1.2-1.6)], pre-existing clinical conditions [adjusted HRs 1.2 (95%CI 1.1-1.3) for one and 1.3 (95%CI 1.1-1.5) for two comorbidities], hypoxaemia on admission [adjusted HR 1.2 (95%CI 1.1-1.4)] and requiring non-invasive [adjusted HR 2.6 (95%CI 2.1-3.3)] or invasive ventilatory support [adjusted HR 7.1 (95%CI 5.6-9.2)].ConclusionIn Brazil, the in-hospital maternal mortality rate due to COVID-19 is high and the risk of death increases with the length of hospitalisation. Socio-demographic and biological factors are associated with an increased risk of maternal death. The presence of respiratory signs and symptoms should be considered early markers of disease severity and an adequate management is necessary. Our findings reinforce the need for vaccination of pregnant and postpartum women against COVID-19.
| S-EPMC8755388 | biostudies-literature
Project description:ObjectiveTo assess the association of cardiometabolic risk factors with hospitalisation or death due to COVID-19 in the general population.Design, setting and participantsSwedish population-based cohort including 29 955 participants.ExposuresCardiometabolic risk factors assessed between 2014 and 2018.Main outcome measuresHospitalisation or death due to COVID-19, as registered in nationwide registers from 31 January 2020 through 12 September 2020. Associations of cardiometabolic risk factors with the outcome were assessed using logistic regression adjusted for age, sex, birthplace and education.ResultsMean (SD) age was 61.2 (4.5) and 51.5% were women. 69 participants experienced hospitalisation or death due to COVID-19. Examples of statistically significant associations between baseline factors and subsequent hospitalisation or death due to COVID-19 included overweight (adjusted OR (aOR) vs normal weight 2.73 (95% CI 1.25 to 5.94)), obesity (aOR vs normal weight 4.09 (95% CI 1.82 to 9.18)), pre-diabetes (aOR vs normoglycaemia 2.56 (95% CI 1.44 to 4.55)), diabetes (aOR vs normoglycaemia 3.96 (95% CI 2.13 to 7.36)), sedentary time (aOR per hour/day increase 1.10 (95% CI 1.02 to 1.17)), grade 2 hypertension (aOR vs normotension 2.44 (95% CI 1.10 to 5.44)) and high density lipoprotein cholesterol (aOR per mmol/L increase 0.33 (95% CI 0.17 to 0.65)). Statistically significant associations were not observed for grade 1 hypertension (aOR vs normotension 1.03 (95% CI 0.55 to 1.96)), current smoking (aOR 0.56 (95% CI 0.24 to 1.30)), total cholesterol (aOR per mmol/L increase 0.90 (95% CI 0.71 to 1.13)), low density lipoprotein cholesterol (aOR per mmol/L increase 0.90 (95% CI 0.69 to 1.15)) and coronary artery calcium score (aOR per 10 units increase 1.00 (95% CI 0.99 to 1.01)).ConclusionsIn a large population-based sample from the general population, several cardiometabolic risk factors were associated with hospitalisation or death due to COVID-19.
| S-EPMC8413466 | biostudies-literature
Project description:BackgroundThere are concerns that individuals with chronic immune-mediated diseases are at increased risk of COVID-19 and related severe adverse outcome, including intensive care admission or death. We aimed to explore the absolute and relative risk of severe COVID-19 in inflammatory bowel disease (IBD).MethodsThis population-based cohort study used nationwide registers in Sweden, with 67,292 individuals with a diagnosis of IBD 1969-2017 (Crohn's disease, n = 21,599; ulcerative colitis: n = 43,622; IBD-unclassified: n = 2071) and alive on 1 February 2020. Patients with IBD were matched to up to five controls from the general population (n = 297,910). Cox regression estimated hazard ratios (HRs) for (i) hospital admission with laboratory-confirmed COVID-19 as the primary diagnosis, and (ii) severe COVID-19 (composite outcome consisting of (a) COVID-19 intensive care admission, or (b) death from COVID-19 or (c) death within 30 days of COVID-19 hospital admission), were calculated. Analyses were conditioned on age, sex, calendar period, and county and adjusted for other comorbidities.ResultsBetween 1 February and 31 July 2020, 179 (0.27%) IBD patients and 500 (0.17%) general population controls were admitted to hospital with COVID-19 (adjusted HR [aHR] = 1.43; 95% CI = 1.19-1.72). The corresponding numbers for severe COVID-19 was 65 (0.10%) and 183 (0.06%; aHR = 1.11; 95% CI = 0.81-1.52). Adjusted HRs were similar in Crohn's disease and ulcerative colitis. In a propensity score-matched model taking comorbidity into account until 2016, the increased risk for COVID-19 hospital admission remained (aHR = 1.32; 1.12-1.56), but there was no increased risk of severe COVID-19 (aHR = 1.12; 0.85-1.47).ConclusionsWhile individuals with IBD were more likely to be admitted to hospital for COVID-19 than the general population, the risk of severe COVID-19 was not higher.
| S-EPMC8014882 | biostudies-literature
Project description:The purpose of the study is to examine whether there is an association between neighbourhood deprivation and incidence of congenital heart disease (CHD), after accounting for family- and individual-level potential confounders.All children aged 0 to 11 years and living in Sweden (n?=?748,951) were followed between January 1, 2000 and December 31, 2010. Data were analysed by multilevel logistic regression, with family- and individual-level characteristics at the first level and level of neighbourhood deprivation at the second level.During the study period, among a total of 748,951 children, 1499 (0.2%) were hospitalised with CHD. Age-adjusted cumulative hospitalisation rates for CHD increased with increasing level of neighbourhood deprivation. In the study population, 1.8 per 1000 and 2.2 per 1000 children in the least and most deprived neighbourhoods, respectively, were hospitalised with CHD. The incidence of hospitalisation for CHD increased with increasing neighbourhood-level deprivation across all family and individual-level socio-demographic categories. The odds ratio (OR) for hospitalisation for CHD for those living in high-deprivation neighbourhoods versus those living in low-deprivation neighbourhoods was 1.23 (95% confidence interval (CI)?=?1.04-1.46). In the full model, which took account for age, paternal and maternal individual-level socio-economic characteristics, comorbidities (e.g. maternal type 2 diabetes, OR?=?3.03; maternal hypertension, OR?=?2.01), and family history of CHD (OR?=?3.27), the odds of CHD were slightly attenuated but did not remain significant in the most deprived neighbourhoods (OR?=?1.20, 95% CI?=?0.99-1.45, p?=?0.057).This study is the largest so far on neighbourhood influences on CHD, and the results suggest that deprived neighbourhoods have higher rates of CHD, which represents important clinical knowledge. However, the association does not seem to be independent of individual- and family-level characteristics.
| S-EPMC4808140 | biostudies-literature
Project description:BackgroundHealth care avoidance in the COVID-19 pandemic has been widely reported. Yet few studies have investigated the dynamics of hospital avoidance behavior during pandemic waves and inferred its impact on excess non-COVID-19 deaths.ObjectiveThis study aimed to measure the impact of hospital avoidance on excess non-COVID-19 deaths in public hospitals in Hong Kong.MethodsThis was a retrospective cohort study involving 11,966,786 patients examined between January 1, 2016, and December 31, 2021, in Hong Kong. All data were linked to service, treatment, and outcomes. To estimate excess mortality, the 2-stage least squares method was used with daily tallies of emergency department (ED) visits and 28-day mortality. Records for older people were categorized by long-term care (LTC) home status, and comorbidities were used to explain the demographic and clinical attributes of excess 28-day mortality. The primary outcome was actual excess death in 2020 and 2021. The 2-stage least squares method was used to estimate the daily excess 28-day mortality by daily reduced visits.ResultsCompared with the prepandemic (2016-2019) average, there was a reduction in total ED visits in 2020 of 25.4% (548,116/2,142,609). During the same period, the 28-day mortality of non-COVID-19 ED deaths increased by 7.82% (2689/34,370) compared with 2016-2019. The actual excess deaths in 2020 and 2021 were 3143 and 4013, respectively. The estimated total excess non-COVID-19 28-day deaths among older people in 2020 to 2021 were 1958 (95% CI 1100-2820; no time lag). Deaths on arrival (DOAs) or deaths before arrival (DBAs) increased by 33.6% (1457/4336) in 2020, while non-DOA/DBAs increased only by a moderate 4.97% (1202/24,204). In both types of deaths, the increases were higher during wave periods than in nonwave periods. Moreover, non-LTC patients saw a greater reduction in ED visits than LTC patients across all waves, by more than 10% (non-LTC: 93,896/363,879, 25.8%; LTC: 7,956/67,090, 11.9%). Most of the comorbidity subsets demonstrated an annualized reduction in visits in 2020. Renal diseases and severe liver diseases saw notable increases in deaths.ConclusionsWe demonstrated a statistical method to estimate hospital avoidance behavior during a pandemic and quantified the consequent excess 28-day mortality with a focus on older people, who had high frequencies of ED visits and deaths. This study serves as an informed alert and possible investigational guideline for health care professionals for hospital avoidance behavior and its consequences.
| S-EPMC10866203 | biostudies-literature
Project description:ObjectivesWith the uptake of COVID-19 vaccines, there is a need for population-based studies to assess risk factors for COVID-19-related hospitalization after vaccination and how they differ from unvaccinated individuals.MethodsWe used data from the British Columbia COVID-19 Cohort, a population-based cohort that includes all individuals (aged ≥18 years) who tested positive for SARS-CoV-2 by real-time reverse transcription-polymerase chain reaction from January 1, 2021 (after the start of vaccination program) to December 31, 2021. We used multivariable logistic regression models to assess COVID-19-related hospitalization risk by vaccination status and age group among confirmed COVID-19 cases.ResultsOf the 162,509 COVID-19 cases included in the analysis, 8,546 (5.3%) required hospitalization. Among vaccinated individuals, an increased odds of hospitalization with increasing age was observed for older age groups, namely those aged 50-59 years (odds ratio [OR] = 2.95, 95% confidence interval [CI]: 2.01-4.33), 60-69 years (OR = 4.82, 95% CI: 3.29, 7.07), 70-79 years (OR = 11.92, 95% CI: 8.02, 17.71), and ≥80 years (OR = 24.25, 95% CI: 16.02, 36.71). However, among unvaccinated individuals, there was a graded increase in odds of hospitalization with increasing age, starting at age group 30-39 years (OR = 2.14, 95% CI: 1.90, 2.41) to ≥80 years (OR = 41.95, 95% CI: 35.43, 49.67). Also, comparing all the age groups to the youngest, the observed magnitude of association was much higher among unvaccinated individuals than vaccinated ones.ConclusionAlongside a number of comorbidities, our findings showed a strong association between age and COVID-19-related hospitalization, regardless of vaccination status. However, age-related hospitalization risk was reduced two-fold by vaccination, highlighting the need for vaccination in reducing the risk of severe disease and subsequent COVID-19-related hospitalization across all population groups.
| S-EPMC9731811 | biostudies-literature
Project description:BackgroundIn the early stages of the COVID-19 pandemic in 2020, daily life was significantly restricted due to the containment measures of the initial lockdown while SARS-CoV‑2 incidences remained relatively low. This study analyses socio-demographic and socio-economic groups in terms of changes in their subjective health during this phase.MethodsData from the Socio-Economic Panel (n = 14,856, March-July 2020) were used to estimate the relative frequency of self-reported good health, great worries about one's own health, and high life satisfaction of men and women stratified by age, education, income, migration history, pre-existing medical conditions, and high-risk occupation. The results were mutually adjusted using logistic regression, displayed on a monthly basis, and compared with the pre-pandemic period.ResultsIndividuals of higher age, with lower education or income, and with pre-existing medical conditions reported positive health outcomes less frequently and worries more often. The differences between the subgroups remained largely stable compared to the pre-pandemic period. During the period of strongest restrictions due to infection-control measures, good health was reported less frequently by individuals with lower education or income compared to individuals with higher education or income.DiscussionThe impact of the early phase of the pandemic on subjective health and life satisfaction was low for the majority of the examined groups. Relative impairments were only identified for women in low socio-economic positions.
| S-EPMC11231003 | biostudies-literature
Project description: Not available
| S-BSST563 | biostudies-other
Project description:ObjectivesTo estimate the attributable costs of multimorbidity and assess whether the association between the level of multimorbidity and health system costs varies by socio-demographic factors in young (<65 years) and older (?65 years) adults living in Ontario, Canada.DesignA population-based, retrospective cohort study SETTING: The province of Ontario, Canada PARTICIPANTS: 6 639 089 Ontarians who were diagnosed with at least one of 16 selected medical conditions on 1 April 2009.Main outcome measuresFrom the perspective of the publicly funded healthcare system, total annual healthcare costs were derived from linked provincial health administrative databases using a person-level costing method. We used generalised linear models to examine the association between the level of multimorbidity and healthcare costs and the extent to which socio-demographic variables modified this association.ResultsAttributable total costs of multimorbidity ranged from C$377 to C$2073 for young individuals and C$1026 to C$3831 for older adults. The association between the degree of multimorbidity and healthcare costs was significantly modified by age (p<0.001), sex (p<0.001) and neighbourhood income (p<0.001) in both age groups, and the positive association between healthcare costs and levels of multimorbidity was statistically stronger for older than younger adults. For individuals aged 65 years or younger, the increase in healthcare costs was more gradual in women than in their male counterparts, however, for those aged 65 years or older, the increase in healthcare costs was significantly greater among women than men. Lastly, we also observed that the positive association between the level of multimorbidity and healthcare costs was significantly greater at higher levels of marginalisation.ConclusionSocio-demographic factors are important effect modifiers of the relationship between multimorbidity and healthcare costs and should therefore be considered in any discussion of the implementation of healthcare policies and the organisation of healthcare services aimed at controlling healthcare costs associated with multimorbidity.
| S-EPMC5640069 | biostudies-literature