DESK REVIEWS | 06.01.05. For each source, please specify if the estimates can be disaggregated by gender, geographical area or by type of dementia

DESK REVIEW | 06.01.05. For each source, please specify if the estimates can be disaggregated by gender, geographical area or by type of dementia

Yes, mortality data on Alzheimer’s disease can be disaggregated by gender and geographical area. Information on other types of dementia is not available.

In the population-based study, the prevalence of dementia can be disaggregated by gender, age, severity, and subtypes of dementia.

Data from the World Alzheimer Report 2015 estimates that there were 1.2 million people living with dementia in Indonesia in 2015. The report does not provide data disaggregated by gender, geographical area, or type of dementia (Prince et al., 2015, p.25). Surveymeter’s data on Yogyakarta was presented by age group (per 10 years starting 60 years), gender, and urban/rural area (Suriastini et al., 2016). The data on the province of Bali were presented by age group, gender, level of education, urban/rural area, district, comorbidities, occupation, and social participation (Suriastini et al., 2018).

References:

Prince, M., Wimo, A., Guerchet, M., Ali, G.-C., Wu, Y.-T., Prina, M., & Alzheimer’s Disease International. (2015). World Alzheimer Report 2015 The Global Impact of Dementia: An analysis of prevalence, incidence, cost and trends. https://www.alz.co.uk/research/WorldAlzheimerReport2015.pdf

Suriastini, Turana, Y., Sukadana, W., Sikoki, B., Witoelar, F., Lesmana, C. B. J., Mulyanto, E. D., Hermoko, R., & Anandari, G. A. A. A. (2018). Menggugah Lahirnya Kebijakan Kelanjutusiaan Menggugah Lahirnya Kebijakan Kelanjutusiaan.

Suriastini, Turana, Y., Witoelar, F., Supraptilah, B., Wicaksono, T., & Dwi, E. (2016). Policy Brief Angka Prevalensi Demensia: Perlu Perhatian Kita Semua. SurveyMETER, Maret, 1–4.

No data was sourced since data on dementia is not routinely collected in Jamaica.

No routinely monitored data available.

The 10/66 study is representative of rural and urban locations and data can be disaggregated by gender and different socio-economic characteristics. MHAS study data can be disaggregated by gender, urban location, and different socio-economic characteristics.