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. Author manuscript; available in PMC: 2016 Aug 8.
Published in final edited form as: J Am Geriatr Soc. 2016 Mar 1;64(3):590–595. doi: 10.1111/jgs.14015

Cognitive Reserve, Incident Dementia, and Associated Mortality in the Ibadan Study of Ageing

Akin Ojagbemi 1, Toyin Bello 1, Oye Gureje 1
PMCID: PMC4976799  EMSID: EMS69252  PMID: 26926137

Abstract

Objectives

To describe factors associated with incident dementia and dementia mortality over 5 years in a large community sample of elderly persons.

Design

Longitudinal investigation of a household multistage probability sample.

Setting

Eight contiguous states of the Yoruba-speaking region of Nigeria.

Participants

Individuals aged 65 and older (N=2,149).

Measurements

Dementia was diagnosed using tools previously validated in the population. Incident cases of dementia over three follow-up waves were determined after censoring cases in the preceding wave. Information on mortality was collected from key informants in subjects’ households.

Results

A dementia incident rate was found of 20.9 per 1,000 person-years (95% confidence interval (CI)=17.7–24.9). The adjusted mortality hazard for those with dementia was 1.5 (95% CI=1.1–2.1). Along with previously identified social and demographic factors, poor predementia cognitive function (hazard ratio (HR)=1.8, 95% CI=1.1–2.8) and low occupational complexity (HR=3.2, 95% CI=1.3–8.0) were associated with incident dementia.

Conclusion

The findings confirm the low incidence of dementia in this population, as previously reported. The condition is nevertheless associated with higher risk of mortality. Along with some features of social disadvantage, proxies of lower cognitive reserve were risk factors for incident dementia.

Keywords: dementia, epidemiology, risk factors, mortality, low- and middle-income countries


It is projected that, by 2040, approximately 71% of persons with dementia globally will be resident in low- and middle-income countries (LMIC)(1), but even though the number of people with dementia in these areas is growing, empirical information about the natural course of dementia in the region remains sparse.

In Nigeria, previous studies have found annual incidence rates of dementia of between 1.4% and 2.2% (2, 3). Incident dementia was mostly associated with poor socioeconomic circumstances (2, 3). The effect of proxies of cognitive reserve, such as life-course occupational complexity and predementia cognitive functioning, (4) has not been investigated.

The present study estimated dementia incidence and mortality in a previously described cohort using data derived from multiple waves conducted over 5 years, taking advantage of a longer period of case accrual (2). The effect of several risk factors on incident dementia, including proxies of cognitive reserve such as occupational complexity and predementia cognitive function, was also investigated.

Methods

Sample selection, recruitment, and follow-up

The Ibadan Study of Aging (ISA) is a stratified multistage cluster randomized sample derived from eight neighboring states in the predominantly Yoruba-speaking region of Nigeria, with a population of approximately 25 million people at the time of the study. The details of the selection procedure have been fully described (2, 5). Up to five calls were made to contact the selected individuals, and there was no replacement for those who could not be contacted or refused to participate in the study.

Baseline assessment was conducted between November 3, 2003, and August 27, 2004, and three annual follow-up waves were implemented in 2007, 2008, and 2009.

Measures

Ascertainment of dementia

The adapted 10-Word Delay Recall Test learning list (10-WDRT) was used to screen for dementia at baseline and follow-up. A second-stage assessment was conducted using the Clinician Home-based Interview to assess Function (CHIF) (6) during each wave of follow-up. The 10-WDRT is adapted from the modified Consortium to Establish a Registry for Alzheimer’s Disease(7) and has been shown to have good sensitivity and specificity for identifying persons with dementia in LMIC, including in Nigeria (8).

For the learning phase of this test, a list of 10 words, adapted as previously described (2), was read to participants, who were then asked to list all of the words they could remember. The test was repeated for a total of three administrations to allow for adequate learning. For each test, the number of words correctly remembered was noted. For the recall phase, participants were requested to repeat as many of the 10 words as they could recall after approximately 5 minutes. A diagnosis of probable dementia was made in participants who recalled fewer than two of the 10 words.

The CHIF is a 10-item semistructured home interview that evaluates respondents’ higher cognitive function by assessing their knowledge of how to perform instrumental activities of daily living(6). Each item is scored on an ordinal scale of 0 to 2, with 0 indicating inability to perform the task and 2 indicating good performance. With a score range of 0 to 20, a cut-off point of <18 provides the best trade-off between sensitivity (89.5%) and specificity (68.5%) in Yoruba respondents.

As part of the follow-up waves, different interviewers administered the 10-WDRT and CHIF independently, usually within 48 hours of one another. The 10-WDRT was the first to be administered as part of an interview lasting approximately 1 hour on average. Research supervisors administered the CHIF. A psychiatrist subsequently reviewed all available information to determine dementia. The information included 10-WDRT (<2) and CHIF (<18) scores, interviewer’s observations, reported functional status, and the temporal relationship of the onset of any co-occurring depressive disorder.

Estimates of incident dementia over each of the three waves of follow-up were determined after censoring cases of dementia in the preceding wave.

Ascertainment of Mortality

Information on mortality was collected during each of the follow-up waves from a key informant in the household when a member of the cohort was not available to be interviewed. In some other instances, such information was obtained between the waves during the regular monitoring activities that the research supervisors conducted. When such information was received, it was recorded in the participant’s case record. In many cases, the precise dates of death were not available, and the best approximations were recorded.

Baseline risk factors

Several demographic, health, and lifestyle risk factors and chronic conditions were assessed at baseline in 2003–04. Participants’ highest occupational attainment was categorized based on the International Standard Classification of Occupations (9). Social participation was assessed using items derived from the World Health Organization Disability Assessment Schedule, version 2 (10). Participants were asked: “During the last 30 days, how much did you join in family activities such as eating together, talking with family members, visiting family members, working together?” and “During the last 30 days, how much did you join in community activities such as festivities, religious activities, talking with community members, working together?” Answers were rated as 1 (not at all), 2 (a little bit), 3 (quite a bit), and 4 (a lot). Participants who answered “not at all” to either question were rated as having poor social participation.

Predementia cognitive function was based on performance on the learning phase of the 10-WDRT and dichotomized as poor for dementia-free participants who scored less than 1 standard deviation (SD) below the mean score for three administrations of the 10-WDRT and good for the other dementia-free participants(11). Economic status was rated by relating each participant status to the median of the entire sample using a listing of the number of household items(12, 13). Depression was assessed using the Composite International Diagnostic Interview(14).

Statistical methods

The sample included individuals who provided baseline data in 2003–04. A participant was considered to have reached an endpoint when they had completed assessments in 2009 or when the research interviewer was reliably informed about their death. Participants with no reports of death and who did not complete 2009 assessments were censored.

The demographic characteristics of those who provided complete information or were reported dead at the end point of the study in 2009 were compared with those who were censored using the chi-square test for categorical variables, with appropriate corrections to account for the survey design (15).

Person-years at risk were calculated as the period between baseline and follow-up assessments for those who did not develop dementia during follow-up and between baseline and the midpoint of each interval for those who developed dementia in the corresponding wave, were censored because of being lost to follow-up, or had died by the corresponding wave of follow-up. This corresponds to the actuarial adjustment approach of a life table. To explore the sensitivity of the analysis to this assumption, person-years were calculated for participants who developed dementia or were censored using the interval from baseline to the last wave in which the person was followed up. This corresponds to the product limit estimator assumption for Kaplan-Meier analyses. The incidence rates with 95% confidence interval (CIs) for actuarial and Kaplan-Meir approaches are presented in the relevant table.

Specific incidence estimates for each baseline risk factors were calculated by dividing the number of incident dementia cases by the person-years contributed. Similar methods were used in the estimation of person-years at risk and specific rates for dementia mortality.

The entire dementia-free (2003–04) cohort was used to estimate the effect of baseline risk factors on incident dementia during the follow-up period. For the purpose of estimating the effect of predementia cognitive decline on incident dementia and mortality, a category was generated for poor predementia cognitive functioning according to a previously defined procedure (11). The Cox regression model for time-invariant explanatory variables was applied to derive estimates of hazard ratios (HRs, with 95% CIs), assuming proportional hazards.

Because of the quality of the survival data, the discrete time version of the Cox regression model for time-invariant explanatory variables was used to derive estimates of HRs for dementia mortality, assuming proportional hazards. An unadjusted analysis was first conducted. Then, the effects of age, sex, socioeconomic status, place of residence, occupational attainment, and predementia cognitive functioning were adjusted for. These were factors that might have significantly affected survival to the end point of 2009 and incident dementia. A significance level of .05 was used throughout the analyses. Coefficient estimates and 95% CIs are presented for the regression models.

Data were analyzed using Stata version 13.0 (16). The survey commands in Stata were used to account for the study sampling scheme.

Results

Two thousand one hundred forty-nine individuals consented and participated in 2003–04. Of these, 1,894 were free of dementia at baseline and were successfully followed up, giving 6,502 total risk years. The mean age of those who were followed up was 74.4±8.8. Table 1 compares participants who were followed up with those who dropped out of the study before the last follow-up assessment in 2009. Eighty-five incident cases of dementia were identified in the 2007 waves, 39 in the 2008 wave, and 12 in the 2009 wave, producing annual incidence rates of 20.9 per 1,000 person-years (95% CI=17.7–24.7) using the actuarial approach or 21.8 per 1,000 person-years (95% CI=18.4–25.8) using the Kaplan-Meier approach (Table 2). The two approaches produced similar results.

Table 1.

Baseline Characteristics of Participants (N=2,149)

Characteristic Completed, n=1,314 Censored, n=835 Design-Based F Statistic P-Value
n (%a)
Age
  65–69
  70–74
  75–79
  ≥80

398 (35.4)
327 (30.8)
185 (18.7)
404 (15.1)

304 (41.8)
168 (25.2)
110 (16.2)
253 (16.9)
3.16 .04
Sex
  Male
  Female

637 (59.9)
677 (40.2)

364 (55.4)
471 (44.6)
3.21 .08
Site
  Urban
  Semi-urban
  Rural

339 (26.3)
541 (41.6)
434 (32.2)

216 (25.9)
329 (41.5)
290 (32.6)
0.02 .98
Education, years
  ≥13
  7–12
  1–6
  0

103 (7.70)
164 (13.5)
332 (26.6)
715 (52.3)

63 (8.59)
102 (11.9)
201 (24.0)
469 (55.5)
0.64 .56
Economic status
  High
  High-average
  Low-average
  Low

155 (16.3)
317 (29.9)
461 (32.2)
381 (21.6)

69 (9.8)
178 (26.2)
302 (37.9)
286 (26.1)
5.59 .002
Occupational attainment
  Semiskilled or higher
  Elementary
  Trade

143 (14.8)
484 (43.8)
572 (41.5)

78 (12.9)
310 (46.4)
342 (40.7)
0.49 .60
Medical comorbidityb
  No
  Yes

922 (68.9)
392 (31.1)

599 (68.7)
236 (31.3)
0.01 .93
Functional disability
  No
  Yes

1,148 (90.6)
166 (9.4)

739 (91.1)
96 (8.9)
0.08 .78
Depression
  No
  Yes

1,223 (92.3)
91 (7.7)

775 (92.1)
60 (7.9)
0.02 .89
Ever smoked
  Yes
  No

540 (43.4)
695 (56.7)

335 (44.1)
439 (55.9)
0.06 .80
Self-reported health
  Poor
  Good

107 (8.0)
1,178 (91.9)

69 (7.0)
726 (93.0)
0.88 .35
Ever drank
  Yes
  No

562 (47.6)
693 (52.4)

345 (48.6)
407 (51.4)
0.08 .77
Weight
  Underweight
  Normal weight
  Overweight
  Obese

117 (6.8)
642 (48.4)
325 (27.6)
222 (17.2)

81 (8.9)
400 (49.0)
198 (26.2)
136 (15.8)
0.71 .53
Social participationc
  Poor
  Good

92 (4.9)
1,181 (95.2)

72 (6.6)
720 (93.4)
1.98 .17
Predementia cognition
  Normal
  Low

1,071 (88.8)
188 (11.2)

648 (84.9)
137 (15.1)
4.33 .04
a

Weighted using sampling weights.

b

Included several chronic medical and pain conditions common in the population.

c

Poor social participation was ascertained according to participants answering “not at all” to “During the last 30 days, how much did you join in family activities such as eating together, talking with family members, visiting family members, working together?” or “During the last 30 days, how much did you join in community activities such as festivities, religious activities, talking with community members, working together?”

Table 2.

Incident Rates and (Unadjusted) Hazard Ratio of Dementia Over 5 Years (N=1,894)

Baseline Characteristics Incident Dementia, n Actuarial Approach Kaplan-Meier Approach
Incidence Rate per 1,000 Person-Years (95% CI) Unadjusted HR (95% CI) Incidence Rate per 1,000 Person-Years (95% CI) Unadjusted HR (95% CI)
Overall 136 20.9 (17.7–24.7) 21.8 (18.4–25.8)
Demographics
Age
  65–69
  70–74
  75–79
  ≥80

16
30
28
62

6.9 (4.2–11.3)
18.0 (12.6–25.7)
30.9 (21.3–44.7)
38.3 (29.8–49.1)

Reference
2.6 (1.4–4.8)
4.4 (2.4–8.2)
5.3 (3.0–9.1)

7.6 (4.7–12.5)
18.5 (12.9–26.5)
31.0 (21.4–45.0)
38.2 (29.8–49.1)

Reference
2.4 (1.3–4.5)
4.1 (2.2–7.5)
5.1 (2.9–8.8)
Sex
  Male
  Female

41
95

12.6 (9.3–17.2)
29.2 (23.9–35.7)

Reference
2.3 (1.6–3.3)

13.2 (9.7.6–17.9)
30.4 (24.9–37.2)

Reference
2.3 (1.6–3.3)
Site
  Urban
  Semi-urban
  Rural

26
56
54

16.0 (10.9–23.5)
20.7 (16.0–27.0)
24.8 (19.0–32.4)

Reference
1.3 (0.8–2.1)
1.6 (1.0–2.5)

17.0 (11.6–25.0)
21.3 (16.4–27.7)
26.0 (19.9–33.9)

Reference
1.2 (0.8–2.0)
1.5 (1.0–2.4)
Education, years
  >13
  7–12
  1–6
  0

10
19
35
72

21.5 (11.6–40.0)
22.6 (14.4–35.4)
22.2 (16.0–30.9)
19.9 (15.8–25.1)

Reference
1.1 (0.5–2.3)
1.0 (0.5–2.1)
0.9 (0.5–1.8)

22.5 (12.1–41.8)
23.1 (14.7–36.2)
23.0 (16.5–32.1)
20.9 (16.6–26.3)

Reference
1.0 (0.5–2.2)
1.0 (0.5–2.1)
0.9 (0.5–1.9)
Economic status
  High
  High-average
  Low-average
  Low

6
26
53
51

7.7 (3.5–17.2)
16.0 (10.9–23.6)
22.3 (17.1–29.2)
29.5 (22.4–38.8)

Reference
2.0 (0.8–5.0)
2.8 (1.2–6.6)
3.6 (1.5–8.4)

7.9 (3.5–17.6)
16.8 (11.4–24.7)
23.2 (17.7–30.4)
31.0 (23.5–40.7)

Reference
2.1 (0.9–5.2)
2.9 (1.3–6.9)
4.0 (1.7–9.3)
Occupational attainment
  Semiskilled or higher
  Elementary
  Trade

5
53
62

6.6 (2.7–15.7)
21.2 (16.2–27.8)
23.1 (18.0–29.6)

Reference
3.2 (1.3–8.0)
3.5 (1.4–8.6)

6.9 (2.9–16.5)
21.8 (16.6–28.5)
24.1 (18.8–30.9)

Reference
3.2 (1.3–8.0)
3.5 (1.4–8.8)
Social participationa
  Good
  Poor

119
14

20.2 (16.9–24.2)
33.7 (20.0–56.9)

Reference
1.6 (0.9–2.8)

21.0 (17.5–25.1)
34.1 (20.2–57.7)

Reference
1.6 (0.9–2.9)
Self -reported health
  Good
  Poor

117
11

19.9 (16.6–23.8)
32.0 (17.7–57.8)

Reference
1.5 (0.8–2.9)

20.8 (17.3–24.9)
31.7 (17.6–57.2)

Reference
1.5 (0.8–2.9)
Past-year depression
  No
  Yes

129
7

21.4 (18.0–25.4)
15.1 (7.2–31.7)

Reference
0.7 (0.3–1.5)

22.3 (18.7–26.5)
15.7 (7.5–33.0)

Reference
0.7 (0.3–1.5)
Functional disability
  No
  Yes

120
16

20.2 (17.0–24.2)
28.0 (17.1–45.7)

Reference
1.3 (0.8–2.1)

21.3 (17.8–25.5)
26.1 (16.0–42.5)

Reference
1.3 (0.7–2.1)
Medical comorbidityb
  No
  Yes

102
34

22.3 (18.3–27.0)
17.7 (12.6–24.8)

Reference
0.8 (0.5–1.2)

23.2 (19.1–28.2)
18.4 (13.1–25.7)

Reference
0.8 (0.5–1.2)
Ever smoked
  No
  Yes

72
58

20.9 (16.6–26.3)
22.1 (17.1–28.6)

Reference
1.1 (0.8–1.5)

21.6 (17.1–27.2)
23.1 (17.9–29.9)

Reference
1.1 (0.8–1.5)
Ever drank
  No
  Yes

78
51

24.0 (19.2–29.9)
17.5 (13.3–23.0)

Reference
0.7 (0.5–1.1)

24.6 (19.7–30.7)
18.2 (13.8–23.9)

Reference
0.7 (0.5–1.0)
Weight
  Normal
  Underweight
  Overweight
  Obese

70
14
32
20

22.4 (17.7–28.3)
30.0 (17.8–50.7)
19.4 (13.7–27.4)
16.8 (10.8–26.0)

Reference
1.3 (0.7–2.2)
0.9 (0.6–1.3)
0.8 (0.5–1.2)

23.1 (18.2–29.2)
29.7 (17.6–50.2)
20.6 (14.5–29.1)
17.6 (11.4–27.3)

Reference
1.3 (0.7–2.3)
0.9 (0.6–1.4)
0.8 (0.5–1.3)
Predementia cognition
  Normal
  Impaired

110
20

19.3 (16.0–23.3)
35.7 (23.0–55.4)

Reference
1.8 (1.1–2.8)

20.2 (16.7–24.3)
35.9 (23.2–55.7)

Reference
1.8 (1.1–2.9)
a

Poor social participation was ascertained according to participants answering “not at all” to “During the last 30 days, how much did you join in family activities such as eating together, talking with family members, visiting family members, working together?” or “During the last 30 days, how much did you join in community activities such as festivities, religious activities, talking with community members, working together?”

b

Included several chronic medical and pain conditions common in the population.

CI=confidence interval; HR=hazard ratio

In addition to age, female sex, low socioeconomic status, rural place of residence, proxies of cognitive reserve such as lower occupational complexity, and low predementia cognitive function were associated with incident dementia (Table 2).

Annual mortality for individuals with dementia was nearly twice the rate of dementia-free participants (Table 3). The mortality hazard for dementia is also shown in Table 3.

Table 3.

Association Between Dementia and Mortality (N=2,149)

Dementia Status Mortality per 1,000 Person-Years (95% CI) Unadjusted Adjusteda
H.R (95% CI)
Actuarial approach
 No dementia
 Dementia
 All
42.3 (37.7–47.5)
83.1 (65.4–105.6)
46.7 (42.0–51.7)
Reference
1.8 (1.4–2.4)
-
Reference
1.5 (1.1–2.1)
-
Kaplan-Meier approach
 No dementia
 Dementia
 All
45.3 (40.3–50.8)
86.2 (67.9–109.6)
49.7 (44.8–55.1)
Reference
1.9 (1.7–2.2)
-
Reference
1.5 (1.2–1.8)
-

Mortality hazards are based on discrete time proportional hazard model.

a

Adjusted for age, sex, economic status, location, occupational attainment, and predementia cognitive function.

CI=confidence interval; HR=hazard ratio

Discussion

In this large prospective cohort study conducted in communities spread over a geographical area in which was nearly one-quarter of the Nigerian population resided at the time of study, an annual dementia incidence rate over 5 years of 2.1% or 2.2% was found, depending on the method used. Older age, female sex, rural residence, lower economic status, occupational complexity, and predementia cognitive function were associated with incident dementia. Mortality for participants with dementia was nearly twice that of those without at baseline.

The annual incidence of dementia in this report is consistent with, and confirms, a previous estimate from this population (2). The rate of 2.2% (95% CI=1.8–2.7) in that report was based on a risk period that was about half the total risk years of the present study. Estimates in the present analysis are higher than the 1.4% annual incidence of dementia observed in a population of elderly persons residing in Idikan, a densely populated inner-city community of Ibadan(3). In addition, the relative risk for dementia mortality of 2.8 (95% CI= 1.1–7.3) derived from that study (17) is higher than the rate of 1.8 found in the present cohort. Rates derived from different samples can be expected to differ, especially when there are differences in methodology. The peculiarities of such a setting may influence dementia incidence and mortality risks derived from a densely populated inner-city environment. For instance, high levels of social stimulation in a densely populated environment may lead to a lower incidence of dementia (18). Alternatively, poverty, deprivation, and limited availability of quality health care, which are common in more-deprived communities, may result in high differential mortality from the disease. Despite methodological differences, the mortality hazard of 1.8 found in this study lies within the range of relative risks reported previously (17).

Life course higher occupational complexity and predementia cognitive function have been demonstrated as indices of protective biological (19) and socioeconomic (20) factors against the neurodegenerative changes that may result in dementia in elderly adults. This phenomenon is often viewed as being indicative of cognitive reserve. Similar to reports from higher-income countries (1921), these proxy indicators of cognitive reserve also appeared to have an important association with incident dementia in this Nigerian cohort. The absence of an association between level of formal education and incident dementia in this study is probably not unexpected given the inconsistency in the findings from several large-scale cohort studies(21, 22). More than half of the respondents had no formal education, and a minority had a few years of formal education. It is likely that this level of educational exposure, which is probably unrelated to ability, but more to social opportunity, may not be a good reflection of cognitive function.

Because of prevailing low levels of education in the study setting, informants often did not accurately estimate the mortality data according to the actual date of death. Given the possible effect of this limitation on the quality of the survival data, a discrete, rather than continuous, time approach was used for subsequent estimation of mortality risk in this study. Additional sensitivity analyses were conducted using the product limit estimator assumptions (Kaplan-Meier). The results of the analyses were not sensitive to the different approaches. Similar to every prospective longitudinal study, attrition was a problem in this study. Small size of the dementia mortality sample made statistical correction using multiple imputation difficult to implement.

In conclusion, the annual incidence rate of dementia in Nigeria may lie between 1.0% and 2.0%. This is lower than commonly reported in studies conducted in high-income countries and may not be directly explained by the observed rate of dementia mortality in the country setting.

Acknowledgments

Financial Disclosure: The funding for this study was provided by WellCome Trust

Footnotes

Conflict of Interest: None of the authors has a competing interest.

Author Contributions: Ojagbemi: production of first draft of manuscript, revision of final draft, approval for publication. Bello: statistical analyses, approval for publication. Gureje: study concept, procurement of funds, production of first draft, revision of final draft, approval for publication

Sponsors’ Role: The sponsors had no role in the design, methods, subject recruitment, data collections, or analysis or preparation of the paper.

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