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

Kamenov, Kaloyan; Cabello, María; Ballert, Carolina S.; Cieza, Alarcos; Chatterji, Somnath; Rojas, Diego Sabogal; Cerón, Gloria; Bickenbach, Jerome; Ayuso-Mateos, José Luís; Sabariego, Carla

doi:10.1007/s00038-017-1047-5

Cited by 6 publications

(5 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These results demonstrate that a variety of demographic, environmental, and capacity factors are associated with disability, with a unique set of key factors in each country. Capacity was the strongest predictor of disabilities in all three countries, which is in line with prior findings that health conditions are strong predictors of disability [ 1 , 6 , 10 , 23 ]. On the other hand, some demographic and environmental factors were moderately associated with disability while controlling for the effects of capacity, and these associations varied substantially between countries.…”

Section: Discussionsupporting

confidence: 90%

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

et al. 2022

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionsupporting

confidence: 90%

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

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…Hindering aspects of means of transportation is another non-workplace determinant of problems in WP for all workers and especially for persons with mild and moderate disability. The identification of personal assistance and transportation as relevant determinants is in line with a study ranking and comparing EF most responsible for the disability experienced by persons with mental disorders and persons with four further major non-communicable conditions [ 42 ]. Finally, hindering aspects of the dwelling is an important determinant of WP for persons with anxiety or depression with severe disability.…”

Section: Discussionmentioning

confidence: 94%

Determinants of Work Performance in Workers with Depression and Anxiety: A Cross-Sectional Study

Ivandić

Kamenov

Rojas³

et al. 2017

IJERPH

Self Cite

View full text Add to dashboard Cite

Depression and anxiety are highly prevalent disorders with an impact on existential aspects of person’s life, including employment i.e., work performance (WP). In order to develop appropriate strategies, it is essential to identify determinants of WP. The objective of this study was to identify the built, social, attitudinal and health system-related environmental determinants of WP in workers with anxiety or depression in total (N = 1211) and regarding the level of disability. Hierarchical binary logistic regression was performed on data obtained from implementation of the WHO Model Disability Survey (MDS) in Chile in 2015. Hindering aspects of means of transportation and workplace, and the use of personal assistance were determinants of WP for all workers with anxiety or depression. Results differed with level of disability. Hindering aspects of means of transportation and workplace, and discrimination were determinants of WP for persons with mild to moderate disability, while hindering aspects of the workplace and dwelling, and the use of personal assistance were determinants of WP for persons with severe disability. Our results emphasize the need for a broader understanding of determinants of WP and the requirement for an integrative approach in developing both universal and specific strategies that go beyond workplace settings.

show abstract

“…In a pilot study in Cambodia, places to socialize for community activities, transportation, and the natural environment as well as use and need of personal assistance and use of medication on a regular basis were the most important cross-cutting environmental factors [16]. A large representative study in Chile aiming to identify which environmental factors were the most responsible for disability experienced by persons with mental disorders identified the availability and frequency of personal assistance and assistive devices for mobility as the most important environmental factors across conditions, but discrimination and use of health services also played an important role [17]. The district we researched in Cameroon has poor infrastructure and our results indicate that major barriers are the lack of public transportation and the building of the dwellings, including toilets.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2021

Self Cite

View full text Add to dashboard Cite

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.

show abstract

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

Cited by 6 publications

References 22 publications

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

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

Determinants of Work Performance in Workers with Depression and Anxiety: A Cross-Sectional Study

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

Contact Info

Product

Resources

About