Socio-demographic differences of disability prevalence among the population aged 60 years and over in Bangladesh

This study aims to delineate the sociodemographic differences in disability prevalence across the population aged 60 years and over in Bangladesh, and to investigate the association of factors with reporting disability in later life. A microdata sample for those aged 60 years or over from the Census of Bangladesh 2011 was used where disability was assessed with a self-reported single response question. Logistic regression models were performed separately for men and women. Results reveal that the disability prevalence rate increased sharply with age, and it was higher among older women (5.2%) compared to men (4.8%). Physical and vision disabilities were the two categories with the highest prevalence of reported disabilities, with a higher prevalence of physical disability among men and vision disability among women. Being older, female, currently not in marital partnership, and having a lower educational attainment, not being employed, living alone, and residing in the rural areas were significantly associated with reporting disability in later life. The higher prevalence of disability among older women, those who are illiterate, and those residing in rural areas highlights the need for policies prioritising these groups. Special attention should also be given to those who are currently not in marital partnership, particularly women who are living alone

Active Ageing Index (AAI) in India: Is the Approach Used in European Countries Applicable to Developing Countries?

One of the questions the chapter asked is whether the AAI (Active Ageing Index), a widely popular policy tool in Europe, can be applied in India. We conclude that the AAI will help to understand the contribution of older adults in India, by including social and economic components. We believe that one of the strengths is the critical evaluation of employment and social engagement domains. In India, employment in later life could not always be interpreted as an active engagement, due to lack of formal support and prevailing ageism in the labour market. Despite poor scoring in the employment domain, India has similar scores to the EU due to higher social participation rate. We recommend that in-depth analysis has to be carried out to draw policy conclusions based on AAI in developing countries

Is there an association between intimate partner violence and the prevalence of cervical cancer screening in Jordan?

Open Access via the PLOS Agreement Acknowledgments The authors thank the MEASURE DHS for granting access to the DHS data.Peer reviewedPublisher PD

Health Status and Associated factors of middle-aged and Older Adult Cancer Survivors in India : Results from the Longitudinal Ageing Study in India

Funding This study was funded by the Scottish Funding council’s Global Challenges Research Fund Pump Priming Grant (SF10206–53). The funders had no role in the data analysis or decision to publish.Peer reviewedPublisher PD

Paternal migration and child stunting in India : An analysis of NFHS-5 data.

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Diabetes mellitus in sub-Saharan Africa during the COVID-19 pandemic : a scoping review

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The role of Hospital-Based Cancer Registries (HBCRs) as information systems in the delivery of evidence-based integrated cancer care : a scoping review

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Heating or eating? : The framing of food and fuel poverty in UK news media

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Age discrimination, the right to life and COVID-19 vaccination in countries with limited resources

This paper seeks to develop and apply a simple yardstick based on remaining life expectancy to assess whether specific health policies unfairly discriminate against people on the basis of their age. This reveals that the COVID-19 vaccine prioritisation policies of several countries have discriminated against older people. Conversely, the exclusion of older people from COVID-19 vaccine testing is shown to be non-discriminatory, as is some degree of age prioritisation for limited acute COVID-19 care. Age discrimination in vaccine prioritisation is shown to be embedded in wider ageist attitudes in health policy, which give the lives of older people a lower social value than the lives of people at younger ages