Trends of multimorbidity in 15 European countries: a population-based study in community-dwelling adults aged 50 and over

Souza, Dyego Leandro Bezerra de; Oliveras-Fabregas, Albert; Minobes-Molina, Eduard; Cancela, Marianna de Camargo; Galbany-Estragués, Paola; Jerez-Roig, Javier

doi:10.21203/rs.3.rs-17055/v3

Cited by 6 publications

(7 citation statements)

References 9 publications

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“…A study in Canada found that the increase in multimorbidity prevalence could be attributed to obesity 20 . Another study conducted in European countries discussed that the improvement of diagnostic technology might also contribute to the increase of multimorbidity 21 . The increasing prevalence of multimorbidity observed between 2000 and 2014 could also be explained by the increasing burden of obesity-related chronic diseases.…”

Section: Discussionmentioning

confidence: 99%

Trends of multimorbidity status among the older Chinese population: findings from the Chinese Longitudinal Healthy Longevity Survey 2000 to 2018

Wang

et al. 2022

Interdisciplinary Nursing Research

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Objectives: This paper aimed to assess temporal trends and risk factors of multimorbidity among older Chinese adults from 2000 to 2018. Methods: A total of 51,326 participants aged 65-105 from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) 2000-2018 were included. Multimorbidity was defined as the co-occurrence of 2 or more (up to 14) chronic conditions in a single person. The adjusted proportion of the number of chronic conditions by follow-up year was examined and described. The generalized estimating equation model including the natural cubic spline was used to predict the prevalence of multimorbidity. Associated factors were identified using generalized estimating equation models from 2000 to 2018. All analyses were conducted separately in 2 age groups: the young-old group (aged 65-79) and the older-old group (aged 80-105). Results: The adjusted multimorbidity prevalence for the young-old group increased from 23.9% in 2002 to 72.5% in 2014 and remained high at 46.3% in 2018; the adjusted prevalence for the older-old group increased from 63.4% in 2000 to 87.2% in 2011 and remained at 73.0% in 2018. Being female, having fewer educational years, a professional or technical occupation, and a history of smoking or drinking were associated with an increased risk for multimorbidity in young-old group; while in older-old group, being female, current smoker or drinker, and less engagement in social and leisure activity were associated with an increased risk for multimorbidity. Conclusion:The prevalence of multimorbidity first increases and then decreases for both age groups. Management of multimorbidity requires more attention from health policymakers, service providers, and educators of health professionals in China. Health systems should prioritize improving the management of older patients, especially women who have lower education levels.

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Section: Discussionmentioning

confidence: 99%

Trends of multimorbidity status among the older Chinese population: findings from the Chinese Longitudinal Healthy Longevity Survey 2000 to 2018

Wang

et al. 2022

Interdisciplinary Nursing Research

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“…Although government strategies varied substantially across countries the mitigation measures generally involved limiting human mobility (e.g., travel restrictions and quarantines), physical distancing measures (e.g., forbidding mass gatherings), closures (e.g., of schools, public spaces and businesses) and public health interventions (e.g., mandatory mask-wearing and population-scale testing) (Souza et al 2021, Cross et al 2020. Even though these restrictions were broadly effective in slowing viral transmission, they were also slowing down the economies of most countries (Decerf et al 2021, Bessell 2021.…”

Section: Introductionmentioning

confidence: 99%

The impact of COVID-19 pandemic and its associations with government responses in Europe

Chantzaras

Yfantopoulos

2022

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Although stringent containment strategies are generally effective in slowing COVID-19 transmission, they also entail severe socioeconomic implications. This study uses aggregated data from Eurostat and the Oxford COVID-19 Government Response Tracker (OxCGRT) to quantify changes in GDP and their association with the stringency index. We examine the evolution of Covid-19 cases and deaths per 100.000 thousand inhabitants in Europe and discuss the impact on the economy. On average, EU member states witnessed an 11.4% reduction in their GDP, due to the COVID-19 crisis. The impact on the southern member states was even greater. We use OxCGRT methodology to rank the European countries on their performance against COVID-19 on the base of four aggregate indices referring to: i) the overall government response, ii) containment and health measures, iii) the stringency index and iv) economic support measures. It is shown that the southern European states and Ireland, top the rankings in terms of the stringency of the implement strategies to contain the pandemic.

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“…Several studies have increasingly explored the association of lifestyle and sociodemographic factors with multimorbidity, given the important relationship that they have and their impact on multimorbidity [7,[11][12][13][14]. In Portugal, however, there seem to be no studies on these associations.…”

Section: Introductionmentioning

confidence: 99%

Association of lifestyle and sociodemographic factors on multimorbidity: a cross-sectional study in Portugal

et al. 2022

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Background Lifestyle factors are widely recognized as modifiers and major risk factors for non-communicable diseases. Previous studies on the prevalence of multimorbidity in Portugal predict an unfavourable reality. The aim of the present study was to analyse 1) the prevalence of multimorbidity in Portugal and 2) the association of individuals’ lifestyles and sociodemographic factors with multimorbidity. Methods A cross-sectional, population-wide study was conducted on a representative sample of the general population of Portuguese adults aged ≥ 20 years. Categorical variables were described by their respective absolute and relative frequencies (n (%)). All variables with a p-value < 20% were included in the multiple logistic regression model. The variables were removed one by one in descending order of p-value (p) until the model contained only significant variables. The results are presented using the odds ratio and 95% confidence intervals. P-values < 5% were considered significant. Results The prevalence of multimorbidity was 48.9% (n = 436), and the odds of multimorbidity increased 4% (p < 0.001) for each year of increase in age. Participants with reasonable general health status had higher odds of multimorbidity (Odds ratio (OR) = 3.04; p < 0.001), and those with poor or very poor general health status had even higher odds (OR = 9.14; p < 0.001). Compared to those who never smoked, participants who quit smoking ≥ 1 year presented an increase of 91% (p = 0.005) in the odds of multimorbidity. Individuals with no good-quality sleep, non-moderate screen time, or non-moderate stress level had higher odds of multimorbidity (OR = 1.98; OR = 1.88; OR = 2.22, respectively. p < 0.001). Conclusions This study presented a new approach to multimorbidity in Portugal. Population-based, multidimensional lifestyle interventions are needed. It seems necessary to optimize and adjust measures to prevent non-communicable diseases to improve health in Portugal. In the future, longitudinal studies will be an asset to reinforce and clarify these conclusions.

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Trends of multimorbidity in 15 European countries: a population-based study in community-dwelling adults aged 50 and over

Cited by 6 publications

References 9 publications

Trends of multimorbidity status among the older Chinese population: findings from the Chinese Longitudinal Healthy Longevity Survey 2000 to 2018

Trends of multimorbidity status among the older Chinese population: findings from the Chinese Longitudinal Healthy Longevity Survey 2000 to 2018

The impact of COVID-19 pandemic and its associations with government responses in Europe

Association of lifestyle and sociodemographic factors on multimorbidity: a cross-sectional study in Portugal

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