Suchergebnisse

OBJECTIVES: Our study aimed to (1) assess health-related quality of life (HRQoL) and mental well-being of healthy and diseased persons in the general population during the early stage of the COVID-19 pandemic and (2) examine the relationship between HRQoL and mental well-being and individual characteristics and government response against COVID-19, as measured by the stringency index. METHODS: A web-based survey was administered to a cohort of persons from the general population of eight countries: Greece, Italy, the Netherlands, Russia, South Africa, Sweden, the United Kingdom (UK) and the United States of America (US) from April 22 to May 5 and May 26 to June 1, 2020. Country-level stringency indices were adopted from the COVID-19 Government Response Tracker. Primary outcomes were HRQoL, measured using the EQ-5D-5L, and mental well-being, measured using the World Health Organization-5 Well-Being (WHO-5). FINDINGS: 21,354 respondents were included in the study. Diseased respondents had lower EQ-5D-5L and WHO-5 scores compared to healthy respondents. Younger respondents had lower WHO-5 scores than older respondents. The stringency index had a stronger association with the EQ-5D-5L and WHO-5 among diseased respondents compared to healthy respondents. Increasing stringency was associated with an increase in EQ-5D-5L scores but a decrease in the WHO-5 index. CONCLUSION: The stringency of government response is inversely related to HRQoL and mental well-being with a small positive relation with HRQoL and strong negative relation with mental well-being. The magnitude of effects differed for healthy and diseased persons and by age but was most favourable for diseased and older persons.

Objectives: Our study aimed to (1) assess health-related quality of life (HRQoL) and mental well-being of healthy and diseased persons in the general population during the early stage of the COVID-19 pandemic and (2) examine the relationship between HRQoL and mental well-being and individual characteristics and government response against COVID-19, as measured by the stringency index. Methods: A web-based survey was administered to a cohort of persons from the general population of eight countries: Greece, Italy, the Netherlands, Russia, South Africa, Sweden, the United Kingdom (UK) and the United States of America (US) from April 22 to May 5 and May 26 to June 1, 2020. Country-level stringency indices were adopted from the COVID-19 Government Response Tracker. Primary outcomes were HRQoL, measured using the EQ-5D-5L, and mental well-being, measured using the World Health Organization-5 Well-Being (WHO-5). Findings: 21,354 respondents were included in the study. Diseased respondents had lower EQ-5D-5L and WHO-5 scores compared to healthy respondents. Younger respondents had lower WHO-5 scores than older respondents. The stringency index had a stronger association with the EQ-5D-5L and WHO-5 among diseased respondents compared to healthy respondents. Increasing stringency was associated with an increase in EQ-5D-5L scores but a decrease in the WHO-5 index. Conclusion: The stringency of government response is inversely related to HRQoL and mental well-being with a small positive relation with HRQoL and strong negative relation with mental well-being. The magnitude of effects differed for healthy and diseased persons and by age but was most favourable for diseased and older persons.

<b><i>Aim:</i></b> To measure the prevalence of health risk factors in women who are preparing for pregnancy, using an online publicly available questionnaire aimed at identifying personal and pre-conception risks and at providing tailored information. <b><i>Methods:</i></b> A nation-wide available, free, web-based, self-reported questionnaire for pre-conception use (in Dutch). Between May 2006 and August 2009, 89,946 questionnaires were completed (78,732 were from unique respondents) and available for research purposes, from which those of non-pregnant women (n = 66,617) were selected. Socio-demographic subgroups were distinguished by age, ethnicity, urban living area and living in a deprived neighbourhood. The four pre-conception risk domains were lifestyle, medical, reproductive and family history; together they were defining the risk profile. &#x03C7;² tests were used to compare the risk profiles among the subgroups. <b><i>Results:</i></b> The prevalences of the reported risk factors are given. The risk factor profiles revealed that the average, responding, non-pregnant, Dutch woman is exposed to a substantial number of risk factors. Different risk profiles were observed in the different socio-demographic subgroups. Women older than 36 years, of non-Western origin, living in urban areas and those in deprived neighbourhoods showed higher risk profiles, based on a larger number of risks, with significantly higher prevalences. <b><i>Conclusion:</i></b> Self-reported data from a large, self-selected, non-pregnant population who actively visited a web-site for reproductive information suggest the need for active general pre-conception care as risk factors were abundant. A considerable increase in attention for pre-conception care is justified; different subpopulations most likely require adapted approaches.