Which environmental factors are associated with lived health when controlling for biological health? - a multilevel analysis

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.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-12846-1.

Identifying key environmental barriers experienced by persons with mild, moderate, or severe disability in Bankim Health District, Cameroon: a policy-targeted secondary analysis of data obtained with the World Bank and WHO model disability survey

BACKGROUND

Comprehensive data is key for evidence-informed policy aiming to improve the lives of persons experiencing different levels of disability. The objective of this paper was to identify the environmental barriers - including physical, social, attitudinal, and political barriers - that might become priorities for cross-cutting policies and policies tailored to the needs of persons experiencing severe disability in Cameroon.

METHODS

A secondary analysis of data obtained with the WHO Model Disability Survey was completed in the Bankim Health District (N = 559) using random forest regression to determine and compare the impact of the environmental factors on the experience of disability.

RESULTS

The physical environment had by far the highest influence on disability, with transportation, toilet of the dwelling, and the dwelling itself being the most important factors. Factors inside one's own home (toilet of the dwelling, and the dwelling itself) were the most important for persons with moderate and severe disability, followed by attitudes of others and issues with accessing health care.

CONCLUSION

Our study provides country policy makers with evidence for setting priorities and for the development of evidence-informed policies for the Bankim Health District in Cameroon.

Determinants of Health Trajectories in England and the United States: An Approach to Identify Different Patterns of Healthy Aging

Background

Aging is a multidimensional process with a remarkable interindividual variability. This study is focused on identifying groups of population with similar aging patterns, and to define the health trajectories of these groups. Sociodemographic and health determinants of these trajectories are also identified.

Methods

Data from the English Longitudinal Study of Aging (ELSA) and the Health and Retirement Study (HRS) were used. A set of self-reported health items and measured tests were used to generate a latent health metric by means of a Bayesian multilevel IRT model, assessing the ability of the metric to predict mortality. Then, a Growth Mixture Model (GMM) was conducted in each study to identify latent classes and assess health trajectories. Kaplan-Meier survival curves were obtained for each class and a multinomial logistic regression was used to identify determinants of these trajectories.

Results

The health score generated showed an adequate ability to predict mortality over 10 years in ELSA (AUC = 0.74; 95% CI: 0.72, 0.75) and HRS (AUC = 0.74; 95% CI: 0.73, 0.75). By means of GMM, four latent classes were identified in ELSA and five in HRS. Chronic conditions, no qualification and low level of household wealth were associated to the classes which showed a higher mortality in both studies.

Conclusion

The method based on the creation of a common metric of health and the use of GMM to identify similar patterns of aging, allows for the comparison of trajectories of health across longitudinal surveys. Multimorbidity, educational level, and household wealth could be considered as determinants associated to these trajectories.

The ICF has made a difference to functioning and disability measurement and statistics

AIMS

Fifteen years after the publication of the International Classification of Functioning, Disability and Health (ICF), we investigated: How ICF applications align with ICF aims, contents and principles, and how the ICF has been used to improve measurement of functioning and related statistics.

METHODS

In a scoping review, we investigated research published 2001-2015 relating to measurement and statistics for evidence of: a change in thinking; alignment of applications with ICF specifications and philosophy; and the emergence of new knowledge.

RESULTS

The ICF is used in diverse applications, settings and countries, with processes largely aligned with the ICF and intended to improve measurement and statistics: new national surveys, information systems and ICF-based instruments; and international efforts to improve disability data. Knowledge is growing about the components and interactions of the ICF model, the diverse effects of the environment on functioning, and the meaning and measurement of participation.

CONCLUSION

The ICF provides specificity and a common language in the complex world of functioning and disability and is stimulating new thinking, new applications in measurement and statistics, and the assembling of new knowledge. Nevertheless, the field needs to mature. Identified gaps suggest ways to improve measurement and statistics to underpin policies, services and outcomes. Implications for Rehabilitation The ICF offers a conceptualization of functioning and disability that can underpin assessment and documentation in rehabilitation, with a growing body of experience to draw on for guidance. Experience with the ICF reminds practitioners to consider all the domains of participation, the effect of the environment on participation and the importance of involving clients/patients in assessment and service planning. Understanding the variability of functioning within everyday environments and designing interventions for removing barriers in various environments is a vital part of rehabilitation planning.

What makes the difference in people's lives when they have a mental disorder?

OBJECTIVES

The objective of this study was to identify which environmental factors are the most responsible for the disability experienced by persons with mental disorders and whether they differ (1) from those in cardiovascular diseases, chronic respiratory conditions, diabetes, and cancer, and (2) depending on the capacity level-a proxy for the impact of health conditions on the health state of individuals.

METHODS

Nationally representative data from 12,265 adults in Chile collected in 2015 with the WHO Model Disability Survey was analyzed.

RESULTS

The availability of personal assistance, frequency of receiving personal assistance, and assistive devices for mobility were the most important environmental factors across mental and other non-communicable diseases. Perception of discrimination and use of health services were also prominent factors. There was a huge overlap between the factors found relevant for mental and other non-communicable diseases, but a substantial variability depending on the intensity of difficulties in capacity.

CONCLUSIONS

This study challenges the appropriateness of disease-specific approaches and suggests that considering intrinsic capacity levels is more informative than focusing on diagnosis alone when comparing needs and barriers that affect the performance in daily life of specific groups of individuals.

A structural equation model of the relation between socioeconomic status, physical activity level, independence and health status in older Iranian people

BACKGROUND AND AIM

Health status is an independent predictor of mortality, morbidity and functioning in older people. The present study was designed to evaluate the link between socioeconomic status (SES), physical activity (PA), independence (I) and the health status (HS) of older people in Iran, using structural equation modelling.

METHODS

Using computerized randomly selection, a representative sample of 851 75-year-olds living in Tehran (2007-2008), Iran, was included. Participants answered questions regarding indicators of HS, SES and also PA and I through interviews. Both measurement and conceptual models of our hypotheses were tested using Mplus 5. Maximum-likelihood estimation with robust standard errors (MLR estimator), chi-square tests, the goodness of fit index (and degrees of freedom), as well as the Comparative Fit Index (CFI), and the Root Mean Square Error of Approximation (RSMEA) were used to evaluate the model fit.

RESULTS

The measurement model yielded a reasonable fit to the data, χ2=110.93, df=38; CFI=0.97; RMSEA=0.047, with 90% C.I.=0.037-0.058. The model fit for the conceptual model was acceptable; χ2=271.64, df=39; CFI=0.91; RMSEA=0.084, with 90% C.I.=0.074-0.093. SES itself was not a direct predictor of HS (β=0.13, p=0.059) but it was a predictor of HS either through affecting PA (β=0.31, p<0.001) or I (β=0.57, p<0.001).

CONCLUSION

Socioeconomic status appeared to influence health status, not directly but through mediating some behavioral and self-confidence aspects including physical activity and independence in ADL.

Which Environmental Factors Have the Highest Impact on the Performance of People Experiencing Difficulties in Capacity?

Disability is understood by the World Health Organization (WHO) as the outcome of the interaction between a health condition and personal and environmental factors. Comprehensive data about environmental factors is therefore essential to understand and influence disability. We aimed to identify which environmental factors have the highest impact on the performance of people with mild, moderate and severe difficulties in capacity, who are at risk of experiencing disability to different extents, using data from a pilot study of the WHO Model Disability Survey in Cambodia and random forest regression. Hindering or facilitating aspects of places to socialize in community activities, transportation and natural environment as well as use and need of personal assistance and use of medication on a regular basis were the most important environmental factors across groups. Hindering or facilitating aspects of the general environment were the most relevant in persons experiencing mild levels of difficulties in capacity, while social support, attitudes of others and use of medication on a regular basis were highly relevant for the performance of persons experiencing moderate to higher levels of difficulties in capacity. Additionally, we corroborate the high importance of the use and need of assistive devices for people with severe difficulties in capacity.