Dataset Information

Health-related quality of life during the COVID-19 pandemic: The impact of restrictive measures using data from two Dutch population-based cohort studies.

ABSTRACT:

Objectives

We describe health-related quality of life during the COVID-19 pandemic in the general Dutch population and correlations with restrictive measures.

Methods

Data were obtained from 18-85 year-old participants of two population-based cohort studies (February 2021-July 2022): PIENTER Corona (n = 8,019) and VASCO (n = 45,413). Per cohort, mean scores of mental and physical health and health utility from the SF-12 were calculated by age group, sex and presence of a medical risk condition. Spearman correlations with stringency of measures were calculated.

Results

Both cohorts showed comparable results. Participants <30 years had lowest health utility and mental health score, and highest physical health score. Health utility and mental health score increased with age (up to 79 years), while physical health score decreased with age. Women and participants with a medical risk condition scored lower than their counterparts. Fluctuations were small over time but most pronounced among participants <60 years, and correlated weakly, but mostly positively with measure stringency.

Conclusions

During the Dutch COVID-19 epidemic, health utility and mental health scores were lower and fluctuated strongest among young adults compared to older adults. In our study population, age, sex and presence of a medical risk condition seemed to have more impact on health scores than stringency of COVID-19 non-pharmaceutical interventions.

SUBMITTER: van Hagen CCE

PROVIDER: S-EPMC10947685 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature

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Publications

Health-related quality of life during the COVID-19 pandemic: The impact of restrictive measures using data from two Dutch population-based cohort studies.

van Hagen Cheyenne C E CCE Huiberts Anne J AJ Mutubuki Elizabeth N EN de Melker Hester E HE Vos Eric R A ERA van de Wijgert Janneke H H M JHHM van den Hof Susan S Knol Mirjam J MJ van Hoek Albert Jan AJ

PloS one 20240318 3

<h4>Objectives</h4>We describe health-related quality of life during the COVID-19 pandemic in the general Dutch population and correlations with restrictive measures.<h4>Methods</h4>Data were obtained from 18-85 year-old participants of two population-based cohort studies (February 2021-July 2022): PIENTER Corona (n = 8,019) and VASCO (n = 45,413). Per cohort, mean scores of mental and physical health and health utility from the SF-12 were calculated by age group, sex and presence of a medical r ...[more]

PMID: 38498510

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Project description:BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has resulted in severe consequences worldwide. Our study aims to assess the quality of life (QoL) domains and its determinants among the general population in Arab countries after two years of the COVID-19 pandemic.MethodsAn anonymous online cross-sectional survey using the short version of World Health Organization QoL (WHOQOL-BREF) instrument was distributed among Arab adults in 15 Arab Countries.ResultsA total of 2008 individuals completed the survey. Amongst them, 63.2% were 18-40 years and 63.2% were females, 26.4% had chronic disease, 39.7% confirmed having contracted COVID-19, and 31.5% had experienced the unfortunate loss of relatives due to COVID-19. The survey revealed that 42.7% reported good physical QoL, 28.6% were satisfied with psychological QoL, 32.9% had a sense of well-being in the social domain, and 14.3% had good QoL in the environmental domain. The predictors of physical domains were as follows: being a male (β = 4.23 [95%CI 2.71, 5.82]), being from low-middle income country (β = -3.79 [95%CI -5.92, -1.73]) or being from high-middle-income country (β = -2.95 [95%CI -4.93, -0.92]), having a a chronic disease (β = -9.02 [95%CI -10.62,-7.44]) having a primary/secondary education (β = -2.38 [95%CI -4.41, -0.054]), number of years of work experience ≥ 15 years (β = 3.25 [95%CI 0.83, 5.73]), income-per-capita [ranged from (β = 4.16 [95%CI -5.91, -2.40]) to (β = -11.10 [95CI%, -14.22, -8.11])], a previous COVID-19 infection (β = -2.98 [95%CI -4.41, -1.60]), and having relative died from COVID-19 (β = -1.56 [95%CI -3.01, -0.12]). The predictors of psychological domain were having a chronic disease (β = -3.15 [95%CI -4.52, -1.82]), a postgraduate education (β = 2.57 [95% CI 0.41, 4.82]), number of years of work experience ≥ 15 years (β = 3.19 [95%CI 1.14, 5.33]), income-per-capita [ranged from (β = -3.52 [95%CI -4.91, -1.92]) to (β = -10.31 [95%CI -13.22, -7.44])], and a previous COVID-19 infection (β = -1.65 [95%CI -2.83, -0.41]). The predictors of social domain were being a male (β = 2.78 [95%CI 0.93, 4.73]), being single, (β =-26.21 [-28.21, -24.32]), being from a low-income country (β = 5.85 [95%CI 2.62, 9.13]), or from a high-middle-income country (β = -3.57 [95%CI -6.10, -2.12]), having a chronic disease (β = -4.11 [95%CI -6.13, -1.11]), and income-per-capita [ranged from (β = -3.62 [95%CI -5.80, -1.41]) to (β = -11.17 [95%CI -15.41, -6.92])]. The predictors of environmental domain were being from a low-middle-income country (β = -4.14 [95%CI -6.90, -1.31), from a high-middle-income country (β = -12.46 [95%CI -14.61, -10.30]), or from a low-income-country (β = -4.14 [95%CI, -6.90, -1.32]), having a chronic disease (β = -3.66 [95%CI -5.30, -1.91]), having a primary/secondary education (β = -3.43 [95%CI -5.71, -1.13]), being not working (β = -2.88 [95%CI -5.61, -0.22]), income-per-capita [ranged from (β = -9.11 [95%CI -11.03, -7.21] to (β = -27.39 [95%CI -31.00, -23.84])], a previous COVID-19 infection (β = -1.67 [95%CI -3.22, -0.21]), and having a relative who died from COVID-19 (β = -1.60 [95%CI -3.12, -0.06].ConclusionThe study highlights the need for public health interventions to support the general population in the Arab countries and mitigate its impact on their QoL.

Project description:BackgroundIdentification of characteristics of individuals that are related to decreases in physical activity (PA) levels during lockdown is needed to develop targeted-interventions. This study aims to evaluate changes in domain-specific (i.e. leisure time, transportation, occupational, and household) and total PA due to the Dutch COVID-19 lockdown, which started on March 15 2020. Furthermore, we aim to identify demographic, health-related, and psychological correlates of these changes.MethodsIndividuals who participated in the Nijmegen Exercise Study during 2017-2019 were invited to this study, which was conducted between April 16 and May 12 2020. Participant characteristics (i.e. age, sex, body mass index (BMI), marital status, education, household composition, and occupation status), living environment (i.e. housing type and degree of urbanization), psychological characteristics (i.e. resilience, outcome expectations, vitality, and mental health), and medical history were collected via an online questionnaire. Short Questionnaire to Assess Health-enhancing physical activity was used to assess PA behavior before and during lockdown. Wilcoxon signed-rank test was used to compare PA levels, in metabolic equivalent of task (MET)-minutes per week (min/wk), before and during lockdown. Multivariable linear regression analyses were performed to examine correlates of PA changes.Results4033 participants (57% male; 59 ± 13 years) were included. PA decreased significantly during lockdown with mean ± SD changes of 393 ± 2735 MET-min/wk for total, 133 ± 785 MET-min/wk for transportation, 137 ± 1469 MET-min/wk for occupation, and 136 ± 1942 MET-min/wk for leisure time PA. Household PA did not change significantly. Unemployment, COVID-19-related occupational changes, higher BMI, and living in an apartment or semi-detached/terraced house were significantly related to larger decreases in total and domain-specific PA. Higher vitality was related to smaller decreases in total and domain-specific PA. Higher age was significantly associated with a larger decrease in leisure time PA. Lower education was associated with smaller decreases in transportation and occupational PA compared to higher education.ConclusionPA levels significantly reduced during lockdown compared to before lockdown. Declines were observed during transportation and occupation, but were not compensated by an increase in leisure time PA. We identified subgroups that were more susceptible to reductions in domain-specific or total PA levels and should therefore be encouraged to increase their PA levels during lockdown.

Dataset Information

Health-related quality of life during the COVID-19 pandemic: The impact of restrictive measures using data from two Dutch population-based cohort studies.

Objectives

Methods

Results

Conclusions

Publications

Health-related quality of life during the COVID-19 pandemic: The impact of restrictive measures using data from two Dutch population-based cohort studies.

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