European Journal of Public Health最新文献

Background: Aimed to compare the prevalence, characteristics, and associated mortality risk of frailty in Northern Ireland (NI) and the Republic of Ireland (ROI).

Methods: Secondary analysis of the first wave of two nationally representative cohorts, the Northern Ireland Cohort for the Longitudinal Study of Ageing or NICOLA study (N = 8504) and the Irish Longitudinal Study on Ageing or TILDA study (N = 8504). Frailty was assessed using a harmonized accumulation deficits frailty index (FI) containing 30 items. FI scores classified individuals as non-frail (<0.10), pre-frail (0.10-0.24) and frail (≥0.25). Linkage to respective administrative data sources provided mortality information with a follow-up time of 8 years.

Results: The prevalence of frailty was considerably higher in NI compared with the ROI (29.0% compared with 15.0%), though pre-frailty was slightly lower (35.8% and 37.3%, respectively). Age, female sex, and lower socio-economic status were consistently associated with a higher likelihood of both pre-frailty and frailty. In the pooled analysis, both frailty and pre-frailty were higher in NI (RR = 2.68, 95% CIs 2.45, 2.94 and RR = 1.30, 95% CIs 1.21, 1.40, respectively). Frailty was associated with an increased mortality risk in both cohorts, even after full adjustment for all other characteristics, being marginally higher in TILDA than in NICOLA (HR = 2.43, 95% CIs 2.03, 2.91 vs. HR = 2.31, 95% CIs 1.90, 2.79).

Conclusions: Frailty is a major public health concern for both jurisdictions. Further research and monitoring are required to elucidate why there is a higher prevalence in NI and to identify factors in early life that may be driving these differences.

Background: Several factors seem to be related to the use of healthcare services, and chronic pain (CP) is among these characteristics. The objective is to describe the number of visits to a doctor's surgery or emergency rooms, and the periods of hospitalization; to identify characteristics associated with frequent healthcare use, including disabling chronic pain (DCP) and non-disabling chronic pain (n-DCP).

Methods: Representative population-based cross-sectional study of 6569 people older than 16 years from southern Spain was collected. The frequency of visits to a doctor's surgery or emergency rooms and periods of hospitalization were defined as at or above the 90th percentile. Binary logistic regression analyses were conducted separately on women and men to identify characteristics associated with being frequent visitors.

Results: People with DCP are more frequent visitors to a doctor's surgery and emergency rooms and endure longer periods of hospitalization compared to people with n-DCP and without pain. In logistic regression models, people with DCP are twice as likely to over-visit a doctor's surgery; to endure longer periods of hospitalization and more visits to an emergency room service. No relationship was found in n-DCP.

Conclusions: Disability seems to modulate a greater use of health services among the population with CP, doubling it when compared to n-DCP and n-CP, both in women and men. Understanding the role of disability in the use of healthcare services for individuals with CP allows for the identification of needs and strategies to optimize resources.

Background: Research on the factors influencing health care services utilization in Bulgaria does not apply a particular model to analyze these determinants. To fill this gap, we apply the Andersen's Behavioural Model, a commonly used framework, to determine the factors that impact the utilization of health care services in our country.

Methods: Data are collected in an online survey conducted in Bulgaria in 2023 among consumers. The standardized questionnaire includes questions on the utilization of health care services used by the respondent during the preceding 12 months. We apply binary logistic regressions to analyze predictors of visits to general practitioners and medical specialists, as well as hospitalizations.

Results: The results of the regression analysis show that the factors of self-reported health status and the presence of a chronic disease influence the utilization of health care services except for general practitioner visits. Greater trust in general practitioners and hospitals is associated with an increased probability of undergoing examinations and hospitalizations. Predisposing and enabling characteristics appear as significant determinants of health care utilization.

Conclusion: The study confirms the relevance of the Behavioural Model for the use of health care services in the Bulgarian context. Further research on health outcomes and their impact on utilization can help determine the most efficient level and appropriateness of the use of health care services.

Background: High-risk human papillomavirus (HR-HPV) is a known cause of cervical cancer (CC). Latvia has a high incidence of CC compared with the average incidence in the European Union. This study aims to fill the data gap on the HR-HPV burden in Latvia, providing information on its prevalence and associated factors.

Methods: The cross-sectional study was conducted from February 2021 to April 2022. Participants 25-70 years old visiting a general practitioner (general population) or those referred to a colposcopy clinic with changes in their cervical cytology (colposcopy population) collected vaginal self-sample and completed a paper-based questionnaire. Samples were analyzed with Cobas 6800 System (Roche) for HPV16, HPV18 and other HR-HPV (HPV31/33/35/39/45/51/52/56/58/59/66/68). Descriptive statistics for categorical variables were performed. The Chi-square test was used to determine for the statistical significance of differences in the proportions of the dependent variable between subgroups of the independent variable. Univariate and multivariate binary logistic regression were used to identify factors associated with positive HR-HPV status. Results were considered statistically significant at P < 0.05.

Results: A total of 1274 participants provided a valid sample. The prevalence of any HR-HPV infection was 66.8% in the colposcopy group and 11.0% in the general population. Factors associated with positive HR-HPV status were marital status single/divorced/widowed (vs. married/cohabiting) [adjusted OR (aOR) 2.6; P = 0.003], higher number of lifetime sex partners [aOR 5.1 (P < 0.001) and 4.0 (P = 0.001)] for six or more and three to five partners in the general population; in the colposcopy group, the statistical significance remained only for Latvian ethnicity (vs. other) (aOR 1.8; P = 0.008) and current smoking (vs. never) (aOR 1.9; P = 0.01).

Conclusion: We documented a comparison to European Union HR-HPV infection burden in Latvia. Any HR-HPV positivity was significantly associated with sexual and other health behavior.

We studied the developmental trajectories of satisfaction with work-family reconciliation (WFS) and their associations with family-related factors and quality of life measures among municipal employees. The study was based on the Helsinki Health Study of municipal employees of the City of Helsinki in 2001-02 and its follow-up surveys in 2007, 2012, and 2017. Employees aged 40-50 at baseline and working at all timepoints were analysed (n = 1681, 84% women). Growth Mixture Models were applied to identify trajectories of WFS (dissatisfied vs. satisfied). Associations of family-related and quality-of-life factors (physical functioning and emotional well-being) with the WFS trajectories were studied using log-binomial regression models, adjusting for sociodemographic and lifestyle variables. Two WFS trajectories, low (women 45%; men 53%) and high were identified. In a fully adjusted model among women, having ≥1 children aged 0-6 years was associated with increased odds of belonging to the low WFS trajectory (OR 1.52, 95% CI 1.19-1.95). Among men, having ≥1 children aged 7-18 was associated with decreased odds (0.39, 0.19-0.80). High emotional well-being was inversely associated with the low WFS trajectory among both genders (women 0.32, 0.23-0.45; men 0.20, 0.09-0.46). High physical functioning (0.59, 0.42-0.83) was inversely associated with the low WFS trajectory among women only. Less than half of the women and more than half of the men participants belonged to a low WFS trajectory, which associated with the age of children in the family and quality-of-life measures.

Background: Despite concerns about worsening pregnancy outcomes resulting from healthcare restrictions, economic difficulties and increased stress during the COVID-19 pandemic, preterm birth (PTB) rates declined in some countries in 2020, while stillbirth rates appeared stable. Like other shocks, the pandemic may have exacerbated existing socioeconomic disparities in pregnancy, but this remains to be established. Our objective was to investigate changes in PTB and stillbirth by socioeconomic status (SES) in European countries.

Methods: The Euro-Peristat network implemented this study within the Population Health Information Research Infrastructure (PHIRI) project. A common data model was developed to collect aggregated tables from routine birth data for 2015-2020. SES was based on mother's educational level or area-level deprivation/maternal occupation if education was unavailable and harmonized into low, medium and high SES. Country-specific relative risks (RRs) of PTB and stillbirth for March to December 2020, adjusted for linear trends from 2015 to 2019, by SES group were pooled using random effects meta-analysis.

Results: Twenty-one countries provided data on perinatal outcomes by SES. PTB declined by an average 4% in 2020 {pooled RR: 0.96 [95% confidence intervals (CIs): 0.94-0.97]} with similar estimates across all SES groups. Stillbirths rose by 5% [RR: 1.05 (95% CI: 0.99-1.10)], with increases of between 3 and 6% across the three SES groups, with overlapping confidence limits.

Conclusions: PTB decreases were similar regardless of SES group, while stillbirth rates rose without marked differences between groups.

Background: During the first epidemic wave, COVID-19 surveillance focused on quantifying the magnitude and the escalation of a growing global health crisis. The scientific community first assessed risk through basic indicators, such as the number of cases or rates of new cases and deaths, and later began using other direct impact indicators to conduct more detailed analyses. We aimed at synthesizing the scientific community's contribution to assessing the direct impact of the COVID-19 pandemic on population health through indicators reported in research papers.

Methods: We conducted a rapid scoping review to identify and describe health indicators included in articles published between January 2020 and June 2021, using one strategy to search PubMed, EMBASE and WHO COVID-19 databases. Sixteen experts from European public health institutions screened papers and retrieved indicator characteristics. We also asked in an online survey how the health indicators were added to and used in policy documents in Europe.

Results: After reviewing 3891 records, we selected a final sample of 67 articles and 233 indicators. We identified 52 (22.3%) morbidity indicators from 33 articles, 105 severity indicators (45.1%, 27 articles) and 68 mortality indicators (29.2%, 51). Respondents from 22 countries completed 31 questionnaires, and the majority reported morbidity indicators (29, 93.5%), followed by mortality indicators (26, 83.9%).

Conclusions: The indicators collated here might be useful to assess the impact of future pandemics. Therefore, their measurement should be standardized to allow for comparisons between settings, countries and different populations.

Background: Timely and high-quality population-level health information is needed to support evidence-informed decision-making, for planning and evaluation of prevention, care and cure activities as well as for research to generate new knowledge. FAIR (Findable, Accessible, Interoperable and Reusable) principles are one of the key elements supporting health research and making it more cost-effective through the reuse of already existing data. Currently, health data are in many countries dispersed and difficult to find and access.

Methods: Two EU Public Health Programmes co-funded Joint Actions, Information for Action (InfAct) and Population Health Information Research Infrastructure (PHIRI) have established a European Health Information Portal, a web-based service, to facilitate better findability, access, interoperability and reuse of existing health information.

Results: The European Health Information Portal (www.healthinformationportal.eu) has been established including sections on National Nodes, data sources, publications, health information projects within countries and across Europe, research networks and research infrastructures, ethical and legal issues for health information exchange and use, capacity-building activities in all areas of population health and a dedicated COVID-19 section.

Conclusions: The European Health Information Portal, being a central place for a wide range of population health information from EU Member States, is an information source for researchers, policy-makers and other relevant stakeholders. It is important to ensure the sustainability of the portal, especially in light of the European Health Data Space (EHDS) Regulation proposal and its requirements regarding the secondary use of health data.

Background: Contact tracing is a public health intervention implemented in synergy with other preventive measures to curb epidemics, like the coronavirus pandemic. The development and use of digital devices have increased worldwide to enhance the contact tracing process. The aim of the study was to evaluate the effectiveness and impact of tracking coronavirus disease 2019 (COVID-19) patients using digital solutions.

Methods: Observational studies on digital contact tracing (DCT), published 2020-21, in English were identified through a systematic literature review performed on nine online databases. An ad hoc form was used for data extraction of relevant information. Quality assessment of the included studies was performed with validated tools. A qualitative synthesis of the findings is reported.

Results: Over 8000 records were identified and 37 were included in the study: 24 modelling and 13 population-based studies. DCT improved the identification of close contacts of COVID-19 cases and reduced the effective reproduction number of COVID-19-related infections and deaths by over 60%. It impacted positively on societal and economic costs, in terms of lockdowns and use of resources, including staffing. Privacy and security issues were reported in 27 studies.

Conclusions: DCT contributed to curbing the COVID-19 pandemic, especially with the high uptake rate of the devices and in combination with other public health measures, especially conventional contact tracing. The main barriers to the implementation of the devices are uptake rate, security and privacy issues. Public health digitalization and contact tracing are the keys to countries' emergency preparedness for future health crises.