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Content uploaded by Stephen Ojiambo Wandera
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All content in this area was uploaded by Stephen Ojiambo Wandera on Mar 19, 2015
Content may be subject to copyright.
Content uploaded by Stephen Ojiambo Wandera
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All content in this area was uploaded by Stephen Ojiambo Wandera on Mar 15, 2015
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Available via license: CC BY 4.0
Content may be subject to copyright.
Prevalence and correlates of disability
among older Ugandans: Evidence from a
national household survey
Stephen Ojiambo Wandera, James Ntozi &
Betty Kwagala
Department of Population Studies,
Makerere University,
Kampala, Uganda
Outline of presentation
• Introduction
• Objectives
• Data & methods
• Results
• Discussion
• Conclusions
• Recommendations
Introduction
• Older persons in Uganda increased from 1.1
million in 2002 to 1.3 million in 2010
• The number is expected to increase to 5.5
million by 2050
• About 1 billion people are disabled - 15% of
global population (GBD, 2010; WHO, 2013)
• In Uganda, the 2011 DHS, estimated disability
at 19%.
Problem statement
• Limited research on disability of older persons in
Africa in general, and Uganda in particular.
• Data on prevalence and correlates of disability
are not systemic in many SSA countries
• Available data from either WHO Study on global
AGEing and adult health (SAGE) & IN-DEPTH
network sites (Nyirenda et al., 2013).
Objective of the paper
To determine the prevalence and
correlates of disabilities in the older
population in Uganda, using a
nationally representative sample
Data & methods
• 2010 UNHS data - 6,800 households interviewed
• Unweighted sample of 2,628 older persons = age 50 &
older were selected. Weighted sample = 2,382 older
persons was used
• Disability measured by 6 domains of functioning
limitations in regard to:
o Seeing even when wearing glasses,
o Hearing even when using hearing aid,
o Walking or climbing steps
o Personal care (bathing, toileting, feeding etc)
o Remembering or concentrating
o Communicating or understanding
Outcome variable – being disabled
• These six questions were originally recoded into
five categories
1. No, no difficulty,
2. Yes - some difficulty,
3. Yes - a lot of difficulty,
4. Can not perform at all
5. Don’t know
• An older person was disabled if he / she had:
• A lot of difficulty or could not perform at all on any
of the six questions or
• Some difficulty on at least two questions
Statistical analyses
• Descriptive statistics – frequency
distribution
• Chi-square test for associations
• Binary logistic regression to determine
correlates of disability among older
persons in Uganda
Results – Table 1
Variables
Percent (%)
Frequency
Gender
Female
52.3
1246
Male
47.7
1136
Age group
50
-59
44.7
1066
60
-69
28.1
670
70
-79
18.2
433
80+
9.0
213
Region
Central
24.7
589
Eastern
30.6
728
Northern
19.7
470
Western
25.0
595
Place of residence
Rural
90.8
2162
Urban
9.2
220
Table 1 cont’d
Variable
Percent (%)
Frequency
Living alone
No
91.0
2167
Yes
9.0
215
Relationship to household head
Head
69.9
1664
Spouse
19.2
458
Relative
10.9
260
Marital status
Married
58.6
1396
Divorced/separated
10.1
240
Widow/widower
31.2
744
Never married
0.1
2
Education level
None
68.1
1621
Primary
24.8
589
Secondary +
7.1
169
Table 1 cont’d
Variable Percent (%) Frequency
Was sick in past 30 days
No 38.0 904
Yes 62.0 1478
Self-reported NCDs
No 76.7 1828
Yes 23.3 554
Disabled
No 67.2 1600
Yes 32.8 782
Total 100.0 2382
Nature and severity of disability
31.4
13.4
19.6
12.1
4.8
3.3
8.7
2.2
8.8
3.1
1.9
0.9
59.9
84.4
71.6
84.8
93.3
95.8
0
20
40
60
80
100
120
Sight Hearing Walking Remembering Self-care Communication
Percentage (%)
Nature of disability
Some
difficulty
A lot / Can not
at all
No difficulty
Chi-square test
• Factors associated with disability were:
– Gender
– Age group
– Residence
– Living alone
– Relationship to household head
– Marital status
– Household poverty
– Household major source of earnings
– Technical skill
– Bicycle ownership
– Ill health
– Self-reported NCDs
Table 3 – Regression results
Variables OR Std errors p-value [95% CI]
Age group
50-59* 1.000
60-69 1.527 0.193 0.001 1.192 1.956
70-79 2.648 0.374 0.000 2.007 3.493
80+ 4.802 0.903 0.000 3.321 6.942
Residence
Rural* 1.000
Urban 0.556 0.117 0.005 0.368 0.840
Living alone
No* 1.000
Yes 1.637 0.313 0.010 1.126 2.381
Marital status
Married* 1.000
Div / separated 2.017 0.421 0.001 1.339 3.038
Widowed 1.841 0.322 0.000 1.307 2.594
Table 3 cont’d
Variables OR Std errors p-value [95% CI]
Household poor
No* 1.000
Yes 1.358 0.162 0.010 1.075 1.716
Household major earnings
Farming* 1.000
Wages 0.802 0.111 0.113 0.611 1.053
Remittances 1.466 0.221 0.011 1.091 1.970
Has technical skill
No* 1.000
Yes 1.284 0.159 0.045 1.006 1.638
Sick in past 30 days
No* 1.000
Yes 2.479 0.293 0.000 1.966 3.127
Reported an NCD
No* 1.000
Yes 1.844 0.241 0.000 1.427 2.382
Discussion
• Advancement in age associated with increased
disability, due to onset of NCDs e.g. in Ghana
(Debpuur et al., 2010)
• Living alone deprives one of “direct health
promotional effect of marriage & social support”
(Wang et al., 2013).
• Divorced / separated older persons at high risk of
disability – due to loneliness & depression,
associated with disability (Berlau et al., 2012)
Discussion cont’d
• Consistent evidence that disability is associated with
ill health & NCDs (Nyirenda et al., 2012; Scholten et
al., 2011; Strobl et al., 2013)
• Some limitations included:
– Self-reported NCDs & disability might be lower
– Cant distinguish between disability from birth &
that by age or occupational hazards
Conclusions
• Disability was associated with:
– advancement in age,
– rural residence,
– living alone,
– separated / divorced or widowed marital status,
– household poverty,
– dependence on remittances,
– possessing a technical skill,
– sickness and
– self-reported NCDs.
• Socio-economic vulnerabilities are associated
with disability among older persons in Uganda
Recommendations
1. Interventions to improve the health of older
persons through early prevention and
management of non-communicable diseases
2. Reduce socio-economic inequalities and
poverty among older persons in Uganda – target
lonely older persons
3. Further research on health of older people in
Uganda