| Literature DB >> 20554660 |
Tim Kautz1, Eran Bendavid, Jay Bhattacharya, Grant Miller.
Abstract
OBJECTIVES: To determine the relation between the HIV/AIDS epidemic and support for dependent elderly people in Africa.Entities:
Mesh:
Year: 2010 PMID: 20554660 PMCID: PMC2886852 DOI: 10.1136/bmj.c2841
Source DB: PubMed Journal: BMJ ISSN: 0959-8138
Characteristics of the elderly population
| Total (n=123 176) | Unattended elderly* (n=32 196) | Attended elderly (n=90 980) | P value | |
|---|---|---|---|---|
| Age (years) | 68.7 | 69.9 | 68.2 | <0.001 |
| Male (%) | 51.6 | 35.7 | 57.4 | <0.001 |
| Urban (%) | 18.0 | 14.1 | 19.5 | <0.001 |
| Has a radio at home (%) | 44.9 | 25.8 | 51.8 | <0.001 |
| Completed primary school (%) | 8.9 | 7.1 | 9.6 | <0.001 |
| Earliest survey | — | 23.5% | — | — |
| Most recent survey | — | 26.1% | — | — |
| P value | — | 0.04 | — | — |
*Unattended elderly refers to individuals over the age 60 who live with no prime age adults (age 18-59).
†A comparison of the proportion of elderly people living without prime age adults over time. The median year of the earliest survey was 1993 and the most recent survey 2004.

Fig 1 AIDS mortality rate and the proportion of older people living alone without any adults between the ages of 18 and 59. The line represents unadjusted linear regression showing higher fractions of unattended elderly people associated with higher AIDS mortality rates. The primary analysis uses a probit regression

Fig 2 AIDS mortality rate and the proportion of older people living in missing generation households—that is, households where older people live with children under the age of 10 and without any adults between the ages of 18 and 59. The line represents unadjusted linear regression showing higher rates of elderly individuals living in missing generation households associated with higher AIDS mortality rates. The primary analysis uses a probit regression
AIDS mortality rate and changes in support for elderly people in Africa*
| Model | Unadjusted estimate | Adjusted estimate† | 95% confidence interval | Adjusted standard error | |
|---|---|---|---|---|---|
| Proportion of unattended elderly people (%) | Probit | 2.27 | 1.53 | 1.19 to 1.87 | 0.17 |
| Proportion of elderly individuals living in missing generation households‡ (%) | Probit | 0.75 | 0.42 | 0.31 to 0.58 | 0.08 |
| Number of prime age adults per elderly household§ | Ordinary least squares | −0.13 | −0.07 | −0.09 to −0.06 | 0.01 |
*All regression coefficients reflect the changes in outcome variable given an increase in the annual AIDS death rate of one additional death in 1000 people. Values from the probit models are marginal effects estimates and those from the ordinary least squares regression are coefficient estimates. Population weights are used for all estimates.
†Adjusted for age, sex, residence (urban or rural), education, measures of household wealth, and country.
‡Older individuals living with only dependent children under the age of 10 years.
§Measures changes in the number of prime age adults per elderly household among households with at least one prime age adult.
Number of unattended elderly people associated with AIDS mortality in 2006 by country*
| Country | Number of unattended elderly |
|---|---|
| Benin | 1600-2500 |
| Burkina Faso | 4500-7000 |
| Cameroon | 25 500-40 100 |
| Chad | 7600-12 000 |
| Côte d’Ivoire | 24 100-38 000 |
| Ethiopia | 38 800-61 000 |
| Ghana | 13 100-20 600 |
| Guinea | 2200-3500 |
| Kenya | 57 000-89 700 |
| Madagascar | 500-700 |
| Malawi | 31 200-49 100 |
| Mali | 2900-4600 |
| Mozambique | 44 700-70 400 |
| Namibia | 3100-4800 |
| Niger | 1900-3000 |
| Nigeria | 109 400-172 300 |
| Rwanda | 4400-7000 |
| Senegal | 900-1400 |
| Tanzania | 57 200-90 100 |
| Uganda | 33 100-52 200 |
| Zambia | 30 200-47 500 |
| Zimbabwe | 89 400-140 700 |
*Estimates were obtained using the marginal effects from the adjusted probit model and population estimates from the US Census Bureau’s international database. The range represents the 95% confidence bounds of the marginal effects when controlling for age, sex, residence (urban or rural), education, measures of household wealth, and country.