scholarly journals Development of a healthy ageing index in Latin American countries - a 10/66 dementia research group population-based study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Christina Daskalopoulou ◽  
Kia-Chong Chua ◽  
Artemis Koukounari ◽  
Francisco Félix Caballero ◽  
Martin Prince ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Ethnic Group ◽  
Functional Ability ◽  
Convergent Validity ◽  
Healthy Ageing ◽  
Middle Income ◽  
Middle Income Countries ◽  
Intrinsic Capacity ◽  
And Gender ◽  
Low And Middle Income

Abstract Background Our population is ageing and in 2050 more than one out of five people will be 60 years or older; 80% of whom will be living in a low-and-middle income country. Living longer does not entail living healthier; however, there is not a widely accepted measure of healthy ageing hampering policy and research. The World Health Organization defines healthy ageing as the process of developing and maintaining functional ability that will enable well-being in older age. We aimed to create a healthy ageing index (HAI) in a subset of six low-and-middle income countries, part of the 10/66 study, by using items of functional ability and intrinsic capacity. Methods The study sample included residents 65-years old and over (n = 12,865) from catchment area sites in Cuba, Dominican Republic, Peru, Venezuela, Mexico and Puerto Rico. Items were collected by interviewing participants or key informants between 2003 and 2010. Two-stage factor analysis was employed and we compared one-factor, second-order and bifactor models. The psychometric properties of the index, including reliability, replicability, unidimensionality and concurrent convergent validity as well as measurement invariance per ethnic group and gender were further examined in the best fit model. Results The bifactor model displayed superior model fit statistics supporting that a general factor underlies the various items but other subdomain factors are also needed. The HAI indicated excellent reliability (ω = 0.96, ωΗ = 0.84), replicability (H = 0.96), some support for unidimensionality (Explained Common Variance = 0.65) and some concurrent convergent validity with self-rated health. Scalar measurement invariance per ethnic group and gender was supported. Conclusions A HAI with excellent psychometric properties was created by using items of functional ability and intrinsic capacity in a subset of six low-and-middle income countries. Further research is needed to explore sub-population differences and to validate this index to other cultural settings.

scholarly journals Addressing the Linkages between Gender and Transport in Low- and Middle-Income Countries

2019 ◽  
Vol 11 (17) ◽  
pp. 4555 ◽  
Author(s):  
Tanu Priya Uteng ◽  
Jeff Turner
Keyword(s):  
Gender Equality ◽  
Millennium Development Goals ◽  
Smart Cities ◽  
Middle Income ◽  
Middle Income Countries ◽  
History Of ◽  
Development Goals ◽  
And Gender ◽  
Research And Policy ◽  
Low And Middle Income

The Millennium Development Goals (MDGs) specifies gender equality and sustainable development as their two central priorities. An area of critical importance for sustainable and gender-fair development is mobility and transport, which has so far been neglected and downplayed in research and policy making both at the national and global levels. Rooted in the history of the topic and the emerging ideas on smart, green and integrated transport, this paper presents a literature review of on gender and transport in the low- and middle-income countries. The paper presents a host of cross-cutting topics with a concentrated focus on spatial and transport planning. The paper further identifies existing research gaps and comments on the new conceptualizations on smart cities and smart mobilities in the Global South. Due attention is paid to intersections and synergies that can be created between different development sectors, emerging transport modes, data and modeling exercises, gender equality and sustainability.

scholarly journals Assessing cognition in people with severe mental disorders in low- and middle-income countries: a systematic review of assessment measures

2021 ◽  
Author(s):  
Yohannes Gebreegziabhere Haile ◽  
Kassahun Habatmu ◽  
Andualem Derese ◽  
Hetta Gouse ◽  
Stephen M. Lawrie ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mental Disorders ◽  
Psychometric Properties ◽  
Low Income ◽  
Measurement Properties ◽  
Severe Mental Disorders ◽  
Middle Income ◽  
Middle Income Countries ◽  
Brief Assessment ◽  
Low And Middle Income

Abstract Background Cognitive difficulties are common in people with severe mental disorders (SMDs) and various measures of cognition are of proven validity. However, there is a lack of systematic evidence regarding the psychometric properties of these measures in low- and middle-income countries (LMICs). Objective To systematically review the psychometric properties of cognitive measures validated in people with SMDs in LMICs. Methods We conducted a systematic review of the literature by searching from four electronic databases. Two authors independently screened studies for their eligibility. Measurement properties of measures in all included studies were extracted. All eligible measures were assessed against criteria set for clinical and research recommendations. Results are summarized narratively and measures were grouped by measurement type and population. Results We identified 23 unique measures from 28 studies. None of these was from low-income settings. Seventeen of the measures were performance-based. The majority (n = 16/23) of the measures were validated in people with schizophrenia. The most commonly reported measurement properties were: known group, convergent, and divergent validity (n = 25/28). For most psychometric property, studies of methodological qualities were found to be doubtful. Among measures evaluated in people with schizophrenia, Brief Assessment of Cognition in Schizophrenia, Cognitive Assessment Interview, MATRICS Consensus Cognitive Battery, and CogState Schizophrenia Battery were with the highest scores for clinical and research recommendation. Conclusions Studies included in our review provide only limited quality evidence and future studies should consider adapting and validating measures using stronger designs and methods. Nonetheless, validated assessments of cognition could help in the management and allocating therapy in people with SMDs in LMICs.

scholarly journals Measuring early child development across low and middle-income countries: A systematic review

2021 ◽  
pp. 1476718X2110200
Author(s):  
Bernardita Munoz-Chereau ◽  
Lynn Ang ◽  
Julie Dockrell ◽  
Laura Outhwaite ◽  
Claire Heffernan
Keyword(s):  
Systematic Review ◽  
Child Development ◽  
Psychometric Properties ◽  
Early Child Development ◽  
Middle Income ◽  
Early Child ◽  
Middle Income Countries ◽  
Cultural Adaptability ◽  
Education Psychology ◽  
Low And Middle Income

The Sustainable Development Goals mandate that by 2030, all children should have access to quality early child development opportunities, healthcare and pre-primary education. Yet validated measures of ECD in low and middle income countries (LMICs) are rare. To address this gap, a Systematic Review (SR) of measures available to profile the development of children between the ages of 0–5 years in LMICs was undertaken. Drawing on education, psychology and health databases, we identified reliable, valid or measures adapted for use in LMICs for either assessments of children’s development or their learning environments. The inclusion criteria were (1) peer reviewed papers published between January 2009 and May 2019; (2) assessment tools used to measure cognitive/language development or the early years or home environment in at least one LMIC; (3) report of the psychometric properties (validity and reliability) of the tool, and/or description of the cultural adaptability/translation process undertaken before applying it to a LMIC. Two hundred and forty-nine available records published in the last decade in peer-review journals and nine relevant systematic literature reviews were identified. Fifty-seven records were qualitatively synthesised based on their psychometric properties and cultural adaptation. Forty-three tools were reviewed utilising 12 criteria. Five elements of analysis present in Tables 2 and 3 (study, population tested, validity, reliability and cultural adaptability/translation) focused on the tools’ psychometric properties and previous application in LMICs. A further seven dimensions outlined in Tables 4 and 5 identified specific characteristics of the tools from target age, administration method, domains, battery, accessibility, language and country/institution. We suggest these 12 key considerations for the selection of measurement tools that are applicable to effectively assess ECD in LMICs.

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