Connecting and feeling: Associations between social factors and emotions in nine countries.

We aimed to explore the distribution of positive and negative emotions across nine low-, middle- and high-income countries; and the association between social factors and these emotions. Data were drawn from the SAGE and the COURAGE studies, with 52,553 participants. Emotions were assessed through the day reconstruction method.Sociodemographic characteristics and social factors were also measured. Multiple linear regressions were performed. Finland, China and African countries showed significantly lower scores on the negative emotions, whereas positive emotions were more homogeneous across countries. Loneliness was positively associated with negative emotions and negatively associated with positive ones; frequent social participation was related with higher scores in positive emotions; and lower trust with higher levels of feeling rushed, irritated, depressed and less calm. The extent to which each emotion was felt varied across countries, but there seems to exist an association of social factors with the emotions.

The WHO estimates of excess mortality associated with the COVID-19 pandemic.

The World Health Organization has a mandate to compile and disseminate statistics on mortality, and we have been tracking the progression of the COVID-19 pandemic since the beginning of 20201. Reported statistics on COVID-19 mortality are problematic for many countries owing to variations in testing access, differential diagnostic capacity and inconsistent certification of COVID-19 as cause of death. Beyond what is directly attributable to it, the pandemic has caused extensive collateral damage that has led to losses of lives and livelihoods. Here we report a comprehensive and consistent measurement of the impact of the COVID-19 pandemic by estimating excess deaths, by month, for 2020 and 2021. We predict the pandemic period all-cause deaths in locations lacking complete reported data using an overdispersed Poisson count framework that applies Bayesian inference techniques to quantify uncertainty. We estimate 14.83 million excess deaths globally, 2.74 times more deaths than the 5.42 million reported as due to COVID-19 for the period. There are wide variations in the excess death estimates across the six World Health Organization regions. We describe the data and methods used to generate these estimates and highlight the need for better reporting where gaps persist. We discuss various summary measures, and the hazards of ranking countries' epidemic responses.

Determinants of verbal fluency trajectories among older adults from the English Longitudinal Study of Aging.

BACKGROUND: Prevalence of dementia and cognitive impairment increase creating the need for identifying modifiable risk factors to reduce their burden. The aim of this study was to identify latent groups following similar trajectories in cognitive performance assessed with the verbal fluency test, as well as their determinants. METHODS: Data from English Longitudinal Study of Aging (ELSA) were studied. Latent groups of similar course through a 6-year period in the outcome variable (verbal fluency) were investigated, along with their determinants, using Group Based Trajectory Modeling (GBTM). RESULTS: Four latent groups of verbal fluency trajectories were revealed. Education was the strongest predictor for a favorable trajectory, while cardiovascular disease and depression symptoms were associated with lower within each trajectory. CONCLUSION: Cardiovascular diseases and depressive symptoms are associated with a worse course of verbal fluency through aging, implying that they might serve as targets for interventions to prevent cognitive decline in the aging population. Contrarily, higher level of education is associated with a more favorable course through aging.

WHO Functioning and Disability Disaggregation (FDD11) tool: a reliable approach for disaggregating data by disability.

BACKGROUND: There is a global scarcity of good quality disability data, which has contributed to a lack of political will to address the challenges that persons with disabilities face. The current paper proposes a way forward to overcome this gap by demonstrating the psychometric properties of the World Health Organization Functioning and Disability Disaggregation Tool (FDD11) - a brief disability disaggregation instrument that countries can use. RESULTS: The study demonstrated that FDD11 is a valid and reliable tool. Unidimensionality of the scale produced by each calibration was supported by the factor analysis performed. The analysis indicated good fit of the items, and targeting of the items was deemed to be sufficient. The person separation index was 0.82, indicating good reliability of the final scale. CONCLUSION: FDD11 provides a good opportunity to researchers and governments to capture good quality disability data and to disaggregate existing data by disability. The tool can facilitate low- and middle-income countries in their efforts to develop evidenced-based policies to address any barriers faced by persons with disabilities, to monitor the implementation of the Convention on the Rights of Persons with Disabilities and the Sustainable Development Goals, and to take stock of the challenges that still remain.

[Relationship between healthy lifestyle behaviours and subjective wellbeing: an european observational study.] / Relación entre los estilos de vida saludables y el bienestar subjetivo: estudio observacional europeo.

OBJECTIVE: A healthy lifestyle is related to physical and mental health. The aim of this study was to assess whether different healthy lifestyle behaviours are associated with experiential and evaluative well-being. METHODS: A total of 10,800 participants from Finland, Poland and Spain were interviewed in 2011-2012. Physical activity, fruit and vegetable consumption, smoking, alcohol use, and sleep quality were self-reported. Life satisfaction was measured with the Cantril Self-Anchoring Striving Scale. Positive and negative affect were assessed using an abbreviated version of the Day Reconstruction Method. Multivariate regression analyses were performed. RESULTS: Healthy lifestyle behaviours (consumption of five or more servings of fruit and vegetables per day, moderate or high physical activity, being a non-daily smoker, and having a good sleep quality) were positively associated with evaluative well-being (ß=0.23 p<0.001; ß=0.16, p<0.001; ß=0.26, p<0.001; ß=0.23, p<0.001, respectively), after controlling for confounding variables such as health and depression. Good sleep quality was related with higher positive affect (ß=0.29, p<0.001), lower negative affect (ß=-0.15, p<0.001) and higher life satisfaction (ß=0.23, p<0.001), after adjusting for those confounding variables. CONCLUSIONS: A healthy lifestyle is an important correlate of well-being independently of its effects on health. Healthy lifestyles could be considered when developing strategies to improve not only the physical health, but also the well-being of the population.

OBJETIVO: Un estilo de vida saludable está relacionado con la salud física y mental. El objetivo de este trabajo fue evaluar si diferentes comportamientos de estilo de vida saludable estaban asociados con el bienestar subjetivo. METODOS: Se entrevistó a un total de 10.800 participantes de Finlandia, Polonia y España en 2011-2012. La actividad física, el consumo de frutas y verduras, el tabaco, el alcohol y la calidad del sueño fueron autoinformados. La satisfacción con la vida se midió con la Cantril Self-Anchoring Striving Scale. El afecto positivo y negativo se evaluaron utilizando una versión abreviada del Método de Reconstrucción del Día. Se llevaron a cabo análisis de regresión múltiple. RESULTADOS: Las conductas de estilo de vida saludable (consumo de cinco o más frutas y verduras al día, actividad física moderada o alta, no fumar a diario y tener una buena calidad del sueño) se asociaron positivamente con el bienestar evaluativo (ß=0,23, p<0,001; ß=0,16, p<0,001; ß=0,26, p<0,001; ß=0,23, p<0,001, respectivamente), después de controlar por variables de confusión como la salud y la depresión. La buena calidad del sueño se relacionó con mayor afecto positivo (ß=0,29, p<0,001), menor afecto negativo (ß=-0,15, p<0,001) y mayor satisfacción con la vida (ß=0,23, p<0,001), después de ajustar por dichas variables de confusión. CONCLUSIONES: Un estilo de vida saludable se correlaciona de manera importante con el bienestar, independientemente de sus efectos en la salud. Los estilos de vida saludables podrían ser considerados a la hora de desarrollar estrategias que mejoren no solo la salud física, sino también el bienestar de la población.

Relación entre los estilos de vida saludables y el bienestar subjetivo: estudio observacional europeo / Relationship between healthy lifestyle behaviours and subjective wellbeing: an european observational study

FUNDAMENTOS: Un estilo de vida saludable está relacionado con la salud física y mental. El objetivo de este trabajo fue evaluar si diferentes comportamientos de estilo de vida saludable estaban asociados con el bienestar subjetivo. MÉTODOS: Se entrevistó a un total de 10.800 participantes de Finlandia, Polonia y España en 2011-2012. La actividad física, el consumo de frutas y verduras, el tabaco, el alcohol y la calidad del sueño fueron autoinformados. La satisfacción con la vida se midió con la Cantril Self-Anchoring Striving Scale. El afecto positivo y negativo se evaluaron utilizando una versión abreviada del Método de Reconstrucción del Día. Se llevaron a cabo análisis de regresión múltiple. RESULTADOS: Las conductas de estilo de vida saludable (consumo de cinco o más frutas y verduras al día, actividad física moderada o alta, no fumar a diario y tener una buena calidad del sueño) se asociaron positivamente con el bienestar evaluativo (ß=0,23,p<0,001; ß=0,16, p<0,001; ß=0,26, p<0,001; ß=0,23, p<0,001, respectivamente), después de controlar por variables de confusión comola salud y la depresión. La buena calidad del sueño se relacionó con mayor afecto positivo (ß=0,29, p<0,001), menor afecto negativo (ß=-0,15, p<0,001) y mayor satisfacción con la vida (ß=0,23, p<0,001), después de ajustar por dichas variables de confusión. CONCLUSIONES: Un estilo de vida saludable se correlaciona de manera importante con el bienestar, independientemente de sus efectos en la salud. Los estilos de vida saludables podrían ser considerados a la hora de desarrollar estrategias que mejoren no solo la salud física, sino también el bienestar de la población.(AU)

BACKGROUND:A h ealthy lifestyle is related to physical and mental health. The aim of this study was to assess whether different healthy lifestyle behaviours are associated with experiential and evaluative well-being. METHODS: A total of 10,800 participants from Finland, Poland and Spain were interviewed in 2011-2012. Physical activity, fruit and vegetable consumption, smoking, alcohol use, and sleep quality were selfeported. Life satisfaction was measured with the Cantril Self-Anchoring Striving Scale. Positive and negative affect were assessed using an abbreviated version of the Day Reconstruction Method. Multivariate regression analyses were performed. RESULTS: Healthy lifestyle behaviours (consumption of five or more servings of fruit and vegetables per day, moderate or high physical activity, being a non-daily smoker, and having a good sleep quality) were positively associated with evaluative well-being (ß=0.23 p<0.001; ß=0.16, p<0.001; ß=0.26, p<0.001; ß=0.23, p<0.001, respectively), after controlling for confounding variables such as health and depression. Good sleep quality was related with higher positive affect (ß=0.29, p<0.001), lower negative affect (ß=-0.15, p<0.001) and higher life satisfaction (ß=0.23, p<0.001), after adjusting for those confounding variables. CONCLUSIONS: A healthy lifestyle is an important correlate of well-being independently of its effects on health. Healthy lifestyles could be considered when developing strategies to improve not only the physical health, but also the well-being of the population.(AU)

A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project.

The ATHLOS cohort is composed of several harmonized datasets of international groups related to health and aging. As a result, the Healthy Aging index has been constructed based on a selection of variables from 16 individual studies. In this paper, we consider additional variables found in ATHLOS and investigate their utilization for predicting the Healthy Aging index. For this purpose, motivated by the volume and diversity of the dataset, we focus our attention upon data clustering, where unsupervised learning is utilized to enhance prediction power. Thus we show the predictive utility of exploiting hidden data structures. In addition, we demonstrate that imposed computation bottlenecks can be surpassed when using appropriate hierarchical clustering, within a clustering for ensemble classification scheme, while retaining prediction benefits. We propose a complete methodology that is evaluated against baseline methods and the original concept. The results are very encouraging suggesting further developments in this direction along with applications in tasks with similar characteristics. A straightforward open source implementation for the R project is also provided (https://github.com/Petros-Barmpas/HCEP). Supplementary Information: The online version contains supplementary material available at 10.1007/s13755-022-00171-1.

Demographic and environmental factors associated with disability in India, Laos, and Tajikistan: a population-based cross-sectional study.

BACKGROUND: The number of people experiencing functional limitations due to health conditions (capacity) is expected to increase in low and middle-income countries as populations age and rates of non-communicable disease rise. This trend could raise the prevalence and levels of disability worldwide. Understanding the demographic and environmental factors associated with disability can inform the design of policy interventions to make societies more accessible and inclusive for all. METHODS: Approximately 2,500-3,000 participants in each of India, Laos, and Tajikistan responded to the Gallup World Poll and the World Health Organization's Brief Model Disability Survey through face-to-face interviews. For each country, random forest regression was performed to explore the associations of demographic and environmental factors with disability while controlling for capacity. Using the variable importance measures generated by the random forest models, linear regression models were built in a stepwise manner for each country to predict disability level based on these contextual factors. RESULTS: Capacity was strongly associated with disability in all three countries. Most of the variance in disability was explained by minimally adjusted linear models that included only capacity, sex, and age. Inclusion of additional demographic factors and environmental factors explained slightly more of the variance in disability score. Across all three countries, the level of basic infrastructure, public services, and financial stability were moderately associated with disability. Age, sex, employment status, the use of assistive technologies, and other factors had associations with disability that were highly variable across countries. CONCLUSION: While capacity was the main determinant of disability, individual demographic and environmental factors were associated with disability in a country-specific manner while controlling for the effects of capacity.

The comparative importance of mental and physical disorders for health-related days out of role in the general population of Saudi Arabia.

BACKGROUND: A major component of illness burden is role impairment. As part of the recently-completed Saudi National Mental Health Survey (SNMHS), we compare the number of days out of role in the Saudi population associated with ten core mental disorders assessed in the survey to those associated with ten commonly occurring chronic physical disorders. METHODS: The SNMHS was a household survey that assessed prevalence of ten common anxiety, mood, disruptive behavior, and eating disorders in a nationally representative sample of n = 1981 citizens of the Kingdom of Saudi Arabia (KSA) ages 15-65. Comparison information was obtained on prevalence of ten common chronic physical disorders and number of health-related days out of role (DOR) in the 30 days before interview. Generalized linear models were used to examine univariate and multivariable associations of disorders with DOR and to calculate population attributable risk (PAR) separately and overall for the disorders controlling for socio-demographics. RESULTS: 19.9% of respondents had one or more of the selected mental disorders and 47.1% had one or more of the selected physical disorders. Nine mental disorders and two physical disorders were associated with increased DOR. PAR was 32.9% for mental disorders, 27.0% for physical disorders, and 59.9% for both combined. CONCLUSIONS: Mental disorders are associated with a substantial proportion of all health-related DOR in the Kingdom of Saudi Arabia. Programs to detect and treat mental disorders might lead to substantially decreased role impairment in the Kingdom.

Data gaps towards health development goals, 47 low- and middle-income countries.

OBJECTIVE: To assess the availability and gaps in data for measuring progress towards health-related sustainable development goals and other targets in selected low- and middle-income countries. METHODS: We used 14 international population surveys to evaluate the health data systems in the 47 least developed countries over the years 2015-2020. We reviewed the survey instruments to determine whether they contained tools that could be used to measure 46 health-related indicators defined by the World Health Organization. We recorded the number of countries with data available on the indicators from these surveys. FINDINGS: Twenty-seven indicators were measurable by the surveys we identified. The two health emergency indicators were not measurable by current surveys. The percentage of countries that used surveys to collect data over 2015-2020 were lowest for tuberculosis (2/47; 4.3%), hepatitis B (3/47; 6.4%), human immunodeficiency virus (11/47; 23.4%), child development status and child abuse (both 13/47; 27.7%), compared with safe drinking water (37/47; 78.7%) and births attended by skilled health personnel (36/47; 76.6%). Nineteen countries collected data on 21 or more indicators over 2015-2020 while nine collected data on no indicators; over 2018-2020 these numbers reduced to six and 20, respectively. CONCLUSION: Examining selected international surveys provided a quick summary of health data available in the 47 least developed countries. We found major gaps in health data due to long survey cycles and lack of appropriate survey instruments. Novel indicators and survey instruments would be needed to track the fast-changing situation of health emergencies.

Generating comprehensive functioning and disability data worldwide: development process, data analyses strategy and reliability of the WHO and World Bank Model Disability Survey.

BACKGROUND: Data on functioning and disability collected at population level is essential to complement mortality and morbidity, to estimate rehabilitation needs of countries and regions and to monitor the Convention on the Rights of Persons with Disabilities (CRPD) and the Sustainable Development Goals (SDGs). The objective of this paper is to briefly report the development process of the WHO Model Disability Survey, its data analysis strategy as well as its reliability and ability to measure low to high levels of functioning and disability across countries. METHODS: The development process is described in detail, and a secondary analysis using Rasch methods is conducted to report reliability and targeting using data from eight national and two regional implementations of the survey. RESULTS: The currently available versions of the Model Disability Survey are presented. The survey has good to very good internal reliability and good targeting in all included countries. CONCLUSION: The participatory and evidence-based development, consideration of the expertise of stakeholders, the availability of previously developed ICF-based surveys, and WHO tools targeting functioning and disability are reflected in its good to very good psychometric properties. The survey has been implemented to date in Afghanistan, Cameroon, Chile, Costa Rica, India, Laos, Pakistan, Philippines, Sri Lanka, and Tajikistan, and is used to inform policy-making, to monitor the CRPD and SDGs and to plan the delivery of rehabilitation services.

Disability and COVID-19: ensuring no one is left behind.

The United Nations' Sustainable Development Agenda calls for targeted attention to the needs and rights of the most vulnerable populations to ensure a life of dignity and human security for all. In this paper, we argue that persons with disabilities are in a disproportionately vulnerable situation in public health emergencies. By using the example of Coronavirus disease 2019 (Covid-19), we explain why that is and call for the systematic consideration of the needs and rights of persons with disabilities during the response to the outbreak and during the recovery phase. Otherwise, equity will continue to be merely an aspiration during this COVID-19 emergency - as it will in future health emergencies.

A call for standardised age-disaggregated health data.

The 2030 Sustainable Development Goals agenda calls for health data to be disaggregated by age. However, age groupings used to record and report health data vary greatly, hindering the harmonisation, comparability, and usefulness of these data, within and across countries. This variability has become especially evident during the COVID-19 pandemic, when there was an urgent need for rapid cross-country analyses of epidemiological patterns by age to direct public health action, but such analyses were limited by the lack of standard age categories. In this Personal View, we propose a recommended set of age groupings to address this issue. These groupings are informed by age-specific patterns of morbidity, mortality, and health risks, and by opportunities for prevention and disease intervention. We recommend age groupings of 5 years for all health data, except for those younger than 5 years, during which time there are rapid biological and physiological changes that justify a finer disaggregation. Although the focus of this Personal View is on the standardisation of the analysis and display of age groups, we also outline the challenges faced in collecting data on exact age, especially for health facilities and surveillance data. The proposed age disaggregation should facilitate targeted, age-specific policies and actions for health care and disease management.

Measuring functioning and disability using household surveys: metric properties of the brief version of the WHO and World Bank model disability survey.

BACKGROUND: The Model Disability Survey (MDS) is the current standard recommended by WHO to collect functioning and disability data. Answering calls from countries requesting a version to be implemented as a module that could be integrated into existing surveys and be used for monitoring disability trends and for data disaggregation, WHO developed the brief MDS. The objectives of this paper are to evaluate the metric properties of the disability metrics generated with the Brief MDS and the precision of the Brief MDS in comparison with the full MDS. RESULTS: The partial credit model, a unidimensional model for polytomous data from the Rasch family, was applied to evaluate psychometric properties using data from national MDS implementations in Chile (N = 12,265) and in Sri Lanka (N = 3000). The Brief MDS generates valid metrics for measuring disability, from the perspectives of capacity and performance, thereby achieving good levels of measurement precision in comparison with its full counterpart. CONCLUSION: Given the scarcity of valid functioning and disability modules for household surveys, the Brief MDS represents a milestone in disability measurement. The Brief MDS is currently used by countries to monitor disability trends over time, which is especially important to evaluate the impact of health policies and public health interventions, to disaggregate indicators of the Sustainable Development Goals, and to monitor the implementation of the UN Convention on the Rights of Persons with Disabilities (CRPD).

Mapping of the World Health Organization's Disability Assessment Schedule 2.0 to disability weights using the Multi-Country Survey Study on Health and Responsiveness.

OBJECTIVES: To develop and test an internationally applicable mapping function for converting WHODAS-2.0 scores to disability weights, thereby enabling WHODAS-2.0 to be used in cost-utility analyses and sectoral decision-making. METHODS: Data from 14 countries were used from the WHO Multi-Country Survey Study on Health and Responsiveness, administered among nationally representative samples of respondents aged 18+ years who were non-institutionalized and living in private households. For the combined total of 92,006 respondents, available WHODAS-2.0 items (for both 36-item and 12-item versions) were mapped onto disability weight estimates using a machine learning approach, whereby data were split into separate training and test sets; cross-validation was used to compare the performance of different regression and penalized regression models. Sensitivity analyses considered different imputation strategies and compared overall model performance with that of country-specific models. RESULTS: Mapping functions converted WHODAS-2.0 scores into disability weights; R-squared values of 0.700-0.754 were obtained for the test data set. Penalized regression models reached comparable performance to standard regression models but with fewer predictors. Imputation had little impact on model performance. Model performance of the generic model on country-specific test sets was comparable to model performance of country-specific models. CONCLUSIONS: Disability weights can be generated with good accuracy using WHODAS 2.0 scores, including in national settings where health state valuations are not directly available, which signifies the utility of WHODAS as an outcome measure in evaluative studies that express intervention benefits in terms of QALYs gained.

Keeping an eye on eye care: monitoring progress towards effective coverage.

The eye care sector is well positioned to contribute to the advancement of universal health coverage within countries. Given the large unmet need for care associated with cataract and refractive error, coupled with the fact that highly cost-effective interventions exist, we propose that effective cataract surgery coverage (eCSC) and effective refractive error coverage (eREC) serve as ideal indicators to track progress in the uptake and quality of eye care services at the global level, and to monitor progress towards universal health coverage in general. Global targets for 2030 for these two indicators were endorsed by WHO Member States at the 74th World Health Assembly in May, 2021. To develop consensus on the data requirements and methods of calculating eCSC and eREC, WHO convened a series of expert consultations to make recommendations for standardising the definitions and measurement approaches for eCSC and eREC and to identify areas in which future work is required.

Determinants of Processing Speed Trajectories among Middle Aged or Older Adults, and Their Association with Chronic Illnesses: The English Longitudinal Study of Aging.

The aim of this study was to identify latent groups of similar trajectories in processing speed through aging, as well as factors that are associated with these trajectories. In the context of the Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) project, data from the English Longitudinal Study of Aging (ELSA) (n = 12099) were analyzed. Latent groups of similar trajectories in the processing scores as well as their predictors and covariates were investigated, using group-based trajectory models (GBTM). The coefficient estimates for potential group predictors correspond to parameters of multinomial logit functions that are integrated in the model. Potential predictors included sex, level of education, marital status, level of household wealth, level of physical activity, and history of smoking, while time-varying covariates included incidence of cardiovascular disease (CVD), diabetes mellitus, depressive symptoms, and sleep disturbances. Four trajectories were identified and named after their baseline scores and shapes: High (4.4%), Middle/Stable (31.5%), Low/Stable (44.5%), and Low Decline (19.6%). Female sex, higher levels of education, mild level of physical activity, having been married, and higher level of wealth were associated with a higher probability of belonging to any of the higher groups compared to the Low/Decline that was set as reference, while presence of CVD, diabetes mellitus, and depressive symptoms were associated with lower processing speed scores within most trajectories. All the aforementioned factors might be valid targets for interventions to reduce the burden of age-related cognitive impairment.

Episodic Memory and Verbal Fluency Tasks: Normative Data from Nine Nationally Representative Samples.

OBJECTIVE: This study aims to generate country-specific norms for two episodic memory tasks and a verbal fluency test among middle-aged and older adults using nationally representative data from nine low-, middle-, and high-income countries. METHOD: Data from nine countries in Africa, Asia, Europe, and Latin America were analyzed (n = 42,116; aged 50 years or older). Episodic memory was assessed with the word list memory (three trials of immediate recall) and word list recall (delayed recall). Verbal fluency was measured through the animal naming task. Multiple linear regression models with country-specific adjustments for gender, age, education, and residential area were carried out. RESULTS: Both age and education showed high influence on test performance (i.e. lower cognitive performance with increasing age and decreasing years of education, respectively), while the effect of sex and residential area on cognitive function was neither homogeneous across countries nor across cognitive tasks. CONCLUSIONS: Our study provided sex-, age-, education-, and residential area-specific regression-based norms that were obtained from one of the largest normative study worldwide on verbal recall and fluency tests to date. Findings derived from this study will be especially useful for clinicians and researchers based at countries where cognitive norms are limited.