# Prevalence and Correlates of Physical Disability and Functional Limitation among Elderly Rural Population in Nigeria

Authors: I. S. Abdulraheem; A. R. Oladipo; M. O. Amodu
Journal: Journal of Aging Research
 (2011)

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## Abstract

Background. The number of people surviving into old age is increasing, and it has now become a global phenomenon. Studies on the prevalence and correlates of physical disability and functional limitation among elderly Nigerians are scanty. Methodology. This is a community-based cross-sectional study conducted in 3 local government areas (LGAs) in Nigeria, using a multistage sampling technique. Functional limitations of 1824 elderly persons were tested using Tinetti performance-oriented mobility assessment tool (TPOMAT) and self-reported activities of daily living (ADL). ADL disability of ten, six, and five basic items were compared. Results. The prevalence ratios (PRs) of physical disability using the ten, six, and five basic ADL items were 28.3 (95% CI 25.2–31. 5), 15.7 (95% CI 13.4–19.8), and 12.1 (95% CI 9.8–15.3),  respectively, while functional limitation was 22.5 (95% CI 18.1–24.4). Increased risk of disability was independently associated with female gender PR 3.6 (95% CI 1.5–7.4), advanced age ≥75 years; PR 22.2 (95% CI 14.5, 36.8), arthritis PR 3.7 (95% CI 2.6–4.6), stroke PR 4.8 (95% CI 3.7–7.9) and diabetes  PR 6.1 (95% CI 4.3–7.1).
Conclusions. The findings from this study are pointers to unmet needs of the elderly disabled Nigerians.


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## Body

## 1. Introduction

The number of people surviving into old age is increasing, and it is a global phenomenon affecting developing and developed countries [1]. Information on disability is very important in responding to the care of the elderly. Disability is defined as a restriction in the ability to perform normal activities of daily living [2], and it helps to quantify the impact of disease or injury. Disability is particularly a useful concept in assessing the health of elderly people, because they have several diseases occurring simultaneously with varied severity and impacts on their daily lives. Gill and colleagues [3] have reported the powerful effects of disability on individual well-being, the need for informal help and health care, as well as long-term care needs and costs. On the basis of this, the epidemiology of elderly disability cannot be overemphasized. The process of disability represents a distinct phase in the life of many elderly persons [2]. Functional limitation is associated with loss of independence and with increased need for both formal and informal care [4, 5]. The prevalence of physical disability in elderly persons with functional limitation are, therefore, important for policy development on care of the elderly be it formal or informal care. Contrary to the developed nations [6], most developing nations, specifically  those in sub-Sahara Africa, lack reliable data  to formulate policy on aging even though the populations of their elderly persons (aged 60 years and above) are increasing even more than developed nations [7].The pattern and profile of disability that is obtained among the elderly in developed countries differs from those in developing nations. This is expected because of the difference in life expectancy. For example, life expectancy in Nigeria is currently about 48 years for elderly men and 50 years for elderly women [8]. In the developed countries, the available data suggest that life expectancy at birth was around 35 to 40 years in the mid-1700s, rose to about 45 to 50 by the mid-1800s, so that by the middle of the twentieth century, it was approximately 66 to 67 years probably because of that rapid improvements that began at the end of the nineteenth century [9]. Physical disability and functional limitation are common among older people [10], leading to adverse consequences such as dependency and institutionalization. Older people’s ability to function independently is important, as physical disability and functional limitation have profound public health implications with increased utilization of health care and a need for supportive services and long-term care [4]. Due to economic hardship and extreme limitation of well-paid job opportunities in rural areas, most children and caregivers of the elderly have migrated to towns and cities for greener pasture thus abandoning the elderly with their disabilities.  This underscores the need to study the prevalence of physical disability and functional limitation especially in a Nigerian rural underserved population of older adults.Several studies [11] on physical disability and functional limitation have been reported in developed countries. However, data are very scanty for developing countries especially in rural Nigeria. Apart from demographic factors like female gender and increasing age [12, 13], social variables like  smoking and alcohol consumption, low-income earning, low education, and urban dwelling have been associated with increased risk of disability among elderly persons [12, 14]. In many respects, these correlates of disability are particularly germane to sub-Saharan Africa in general and Nigeria in particular [15]. The objective of this study is, therefore, to determine the prevalence and factors associated with physical disability and functional limitation among elderly Nigerian.


## 2. Methodology

### 2.1. Study Population, Research Instrument, and Methods

The study subjects were elderly rural dwellers aged 60 years and above from Abadam, Guzamala, and Mobbar local government areas (LGAs) in Borno State, North-Eastern Nigeria; and the study was conducted between March and August 2010. Elderly people who were non-Nigerians and those who were temporary residents (lived in the community less than 24 months) were excluded from the study. The study population was identified from 2006 community census list which was obtained from the LGA population census unit. Homes of the participants and primary health centers in each selected local government areas served as the venues of interview and clinical assessments, respectively. In order to reduce or avoid missed opportunity, interviews and clinical assessment were conducted three times a week. Period of interview was in the morning and evening, while the clinical assessment was between 8 am to 4 pm daily in the health centers.The interview and clinical assessment were conducted by seven community health officers and three nurses mostly Kanuri indigenes that were very fluent in Kanuri and Hausa Languages and were trained as research assistants in all aspects of the study such as questionnaire administration and clinical assessment. The questionnaire was pretested in another Kanuri Community to avoid ambiguity and easy administration during the survey.


### 2.2. Relevant Health Related and Sociodemographic Information

Information on the following relevant health-related variables was obtained: presence of chronic conditions, depressive symptomatology, height and weight measurement, cognitive function, and presenting visual acuity. Questions about the presence of chronic diseases include have you ever been managed as a patient for diseases like hypertension, heart attack, diabetes, epilepsy, stroke, arthritis, pneumonia, and asthma? Chronic conditions were coded A, B, and C. Hypertension and heart attack belongs to code “A”, diabetes belongs to code “B”, while arthritis, pneumonia, and asthma were coded “C”. Depressive symptomatology was assessed using the short version of the geriatric depression scale 15 item (GDS) [16]. Scores ranges from 0–15, with scores of six or more indicate depressive symptomatology. Height and weight were measured with the participants in light clothing and without shoes. Body mass index (BMI) was calculated as weight in kilogram divided by square of height in meter expressed as kg/m2 in the result and table. BMI is an index, and therefore, it has no unit.Cognitive function was assessed using the elderly cognitive assessment questionnaire (ECAQ) [17]. ECAQ has been shown to be a valid tool for assessment of cognitive impairment among older people living in developing countries [17]. ECAQ scores range from 0–10. A score of 0 to 4 indicates probable cognitive impairment, 5 to 6 borderline, and 7 and above as normal. Visual acuity was assessed at designated primary health care centers using a standard metric Snellen chart of alphabets E type at 6 meters. Participants’ self reporting or presenting visual acuity (PVA) was ascertained with wearing of habitual optical corrective glasses (spectacles). The World Health Organization [18] defines mild or moderate visual impairment as PVA of less than 6/18 but equal to or better than 3/60. Blindness is defined as PVA of less than 3/60 in the better eye [18]. Mid-arm circumference wad used as a measure of malnutrition. Face-to-face interview was used to collect data on sociodemographic variables like gender, age, education level, marital status, social support, monthly income, ownership of motor vehicle, ownership of modern house, living arrangement, and ethnicity. Ethnic group was categorized as Kanuris, Fulanis, and Hausa.


### 2.3. Study Design and Sampling Technique

This is a population-based cross sectional study and multistage sampling technique was used. The three LGAs were purposively chosen but randomly selected using simple random sampling technique from the available rural LGAs and subjects were allocated to each LGA proportionately according to population of the elderly in the LGAs. Cluster sampling technique was used in the final selection of all participants (total sampling) in each LGA that met the inclusion criteria.


### 2.4. Measures of Physical Function

Two physical function measures were used in the assessment: performance-based functional limitation and self reported physical disability. The Tinetti Performance oriented mobility assessment tool (TPOMAT) was used and is a measure of functional limitation that assesses older people’s gait and balance abilities [19, 20]. In conducting the balance assessment, the participants were seated in hard, straight-backed, armless chairs. Participants’ balance abilities were assessed by performing maneuvers such as sitting in chair, rising from chair, immediate standing balance (first three to five seconds after standing), further standing balance, balance with eyes closed, turning balance, ability to withstand displacement when slightly pushed from the sternum, neck turning, one leg standing balance, back extension, reaching up, bending down, and finally sitting down. For gait assessment, participants were asked to stand with the examiner in an obstacle-free walkway. Participants used their usual walking aid and were asked to walk down the walkway at their usual pace. Participants’ gaits were observed for initiation of gait, step height, step length, step symmetry, step continuity, path deviation, trunk stability, walk stance, and turning while walking. For maneuvers such as path deviation, trunk stability, and walk stance, the examiner walked behind the participants and for others next to the participants. Participants were then asked to walk back at a “more rapid than usual but safe pace” using usual walking aids.Level of performance of each activity was rated 0-1, where a score of 0 meant inability to perform the activity and a score of 1 meant ability to perform the activity. The maximum score for the gait component was 12 points and for the balance component it was 16 points. Participants with scores of less than 12 (for gait) or less than 16 (for balance) were defined as having performance-based functional limitation. In order to test for physical disability, the ten-item Barthel index was used. Barthel index is an assessment of patients’ level of independence in activities of daily living (ADL) [21]. The ten ADL items assessed were feeding, bathing, dressing, grooming, toileting, bladder control, bowel control, transferring from bed to chair, walking, and stair climbing. For this study, the operational definition of physical disability is needing help in one or more of these ADL activities. In order to compare this study with others, physical disability was also determined using the six Katz index of independence in ADL items related to self care (feeding, dressing, bathing, toileting, transferring, and walking) [22, 23] and five items related to self-care (feeding, dressing, bathing, toileting, and transferring) [24].


### 2.5. Data and Statistical Analysis

Following collection, collation, and editing, data were entered into a computerized data base. Data were analyzed using statistical package for social sciences (SPSS) version 16. Clustering of data and sampling probability weights were taken into consideration during the analysis. In order to allow comparison with prevalence of ADL disability reported in other studies, we estimated the prevalence of ten, six, and five items ADL dependence. In this study, the prevalence for disability was also aged standardized population using the indirect standardization method for proper comparison with studies elsewhere.Indirect standardization method was also used for comparing prevalence of physical disability and functional limitation across the three ethnic groups (Kanuris, Fulanis, and Hausa), and in this study,  Kanuris group was used as the standard population. As a result of the high prevalence of physical disability and functional limitation, prevalence ratio (PR) was calculated instead of odds ratio (OR) [25]. All analyses were carried out using SPSS log binomial regression and Poisson regression with strong and reliable variance [26]. Two sets of univariate analyses were performed using chi-square tests: firstly, analysis was done to identify associations between the ten items physical disability and health related and sociodemographic variables; secondly, similar analysis was done with functional limitation. Then, multivariate Poisson regression with robust variance was performed to test which of the health-related variables and sociodemographic variables were independently associated with physical disability and functional limitation. Variables with clinical and statistical significance (P value of <.05 in the univariate analysis) were regarded as being significant. Participants with cognitive impairment identified through scores of less than five based on the elderly cognitive assessment questionnaire (ECAQ), were removed from the analysis (n=43). Individual medical conditions (such as stroke, diabetes, arthritis, etc.) were used as explanatory variables in the analysis to find out their association with disability as well as functional limitation.


### 2.6. Ethical Approval

Due to very high illiteracy level in the study areas, informed (verbal) consent was obtained from all participants.


## 2.1. Study Population, Research Instrument, and Methods

The study subjects were elderly rural dwellers aged 60 years and above from Abadam, Guzamala, and Mobbar local government areas (LGAs) in Borno State, North-Eastern Nigeria; and the study was conducted between March and August 2010. Elderly people who were non-Nigerians and those who were temporary residents (lived in the community less than 24 months) were excluded from the study. The study population was identified from 2006 community census list which was obtained from the LGA population census unit. Homes of the participants and primary health centers in each selected local government areas served as the venues of interview and clinical assessments, respectively. In order to reduce or avoid missed opportunity, interviews and clinical assessment were conducted three times a week. Period of interview was in the morning and evening, while the clinical assessment was between 8 am to 4 pm daily in the health centers.The interview and clinical assessment were conducted by seven community health officers and three nurses mostly Kanuri indigenes that were very fluent in Kanuri and Hausa Languages and were trained as research assistants in all aspects of the study such as questionnaire administration and clinical assessment. The questionnaire was pretested in another Kanuri Community to avoid ambiguity and easy administration during the survey.


## 2.2. Relevant Health Related and Sociodemographic Information

Information on the following relevant health-related variables was obtained: presence of chronic conditions, depressive symptomatology, height and weight measurement, cognitive function, and presenting visual acuity. Questions about the presence of chronic diseases include have you ever been managed as a patient for diseases like hypertension, heart attack, diabetes, epilepsy, stroke, arthritis, pneumonia, and asthma? Chronic conditions were coded A, B, and C. Hypertension and heart attack belongs to code “A”, diabetes belongs to code “B”, while arthritis, pneumonia, and asthma were coded “C”. Depressive symptomatology was assessed using the short version of the geriatric depression scale 15 item (GDS) [16]. Scores ranges from 0–15, with scores of six or more indicate depressive symptomatology. Height and weight were measured with the participants in light clothing and without shoes. Body mass index (BMI) was calculated as weight in kilogram divided by square of height in meter expressed as kg/m2 in the result and table. BMI is an index, and therefore, it has no unit.Cognitive function was assessed using the elderly cognitive assessment questionnaire (ECAQ) [17]. ECAQ has been shown to be a valid tool for assessment of cognitive impairment among older people living in developing countries [17]. ECAQ scores range from 0–10. A score of 0 to 4 indicates probable cognitive impairment, 5 to 6 borderline, and 7 and above as normal. Visual acuity was assessed at designated primary health care centers using a standard metric Snellen chart of alphabets E type at 6 meters. Participants’ self reporting or presenting visual acuity (PVA) was ascertained with wearing of habitual optical corrective glasses (spectacles). The World Health Organization [18] defines mild or moderate visual impairment as PVA of less than 6/18 but equal to or better than 3/60. Blindness is defined as PVA of less than 3/60 in the better eye [18]. Mid-arm circumference wad used as a measure of malnutrition. Face-to-face interview was used to collect data on sociodemographic variables like gender, age, education level, marital status, social support, monthly income, ownership of motor vehicle, ownership of modern house, living arrangement, and ethnicity. Ethnic group was categorized as Kanuris, Fulanis, and Hausa.


## 2.3. Study Design and Sampling Technique

This is a population-based cross sectional study and multistage sampling technique was used. The three LGAs were purposively chosen but randomly selected using simple random sampling technique from the available rural LGAs and subjects were allocated to each LGA proportionately according to population of the elderly in the LGAs. Cluster sampling technique was used in the final selection of all participants (total sampling) in each LGA that met the inclusion criteria.


## 2.4. Measures of Physical Function

Two physical function measures were used in the assessment: performance-based functional limitation and self reported physical disability. The Tinetti Performance oriented mobility assessment tool (TPOMAT) was used and is a measure of functional limitation that assesses older people’s gait and balance abilities [19, 20]. In conducting the balance assessment, the participants were seated in hard, straight-backed, armless chairs. Participants’ balance abilities were assessed by performing maneuvers such as sitting in chair, rising from chair, immediate standing balance (first three to five seconds after standing), further standing balance, balance with eyes closed, turning balance, ability to withstand displacement when slightly pushed from the sternum, neck turning, one leg standing balance, back extension, reaching up, bending down, and finally sitting down. For gait assessment, participants were asked to stand with the examiner in an obstacle-free walkway. Participants used their usual walking aid and were asked to walk down the walkway at their usual pace. Participants’ gaits were observed for initiation of gait, step height, step length, step symmetry, step continuity, path deviation, trunk stability, walk stance, and turning while walking. For maneuvers such as path deviation, trunk stability, and walk stance, the examiner walked behind the participants and for others next to the participants. Participants were then asked to walk back at a “more rapid than usual but safe pace” using usual walking aids.Level of performance of each activity was rated 0-1, where a score of 0 meant inability to perform the activity and a score of 1 meant ability to perform the activity. The maximum score for the gait component was 12 points and for the balance component it was 16 points. Participants with scores of less than 12 (for gait) or less than 16 (for balance) were defined as having performance-based functional limitation. In order to test for physical disability, the ten-item Barthel index was used. Barthel index is an assessment of patients’ level of independence in activities of daily living (ADL) [21]. The ten ADL items assessed were feeding, bathing, dressing, grooming, toileting, bladder control, bowel control, transferring from bed to chair, walking, and stair climbing. For this study, the operational definition of physical disability is needing help in one or more of these ADL activities. In order to compare this study with others, physical disability was also determined using the six Katz index of independence in ADL items related to self care (feeding, dressing, bathing, toileting, transferring, and walking) [22, 23] and five items related to self-care (feeding, dressing, bathing, toileting, and transferring) [24].


## 2.5. Data and Statistical Analysis

Following collection, collation, and editing, data were entered into a computerized data base. Data were analyzed using statistical package for social sciences (SPSS) version 16. Clustering of data and sampling probability weights were taken into consideration during the analysis. In order to allow comparison with prevalence of ADL disability reported in other studies, we estimated the prevalence of ten, six, and five items ADL dependence. In this study, the prevalence for disability was also aged standardized population using the indirect standardization method for proper comparison with studies elsewhere.Indirect standardization method was also used for comparing prevalence of physical disability and functional limitation across the three ethnic groups (Kanuris, Fulanis, and Hausa), and in this study,  Kanuris group was used as the standard population. As a result of the high prevalence of physical disability and functional limitation, prevalence ratio (PR) was calculated instead of odds ratio (OR) [25]. All analyses were carried out using SPSS log binomial regression and Poisson regression with strong and reliable variance [26]. Two sets of univariate analyses were performed using chi-square tests: firstly, analysis was done to identify associations between the ten items physical disability and health related and sociodemographic variables; secondly, similar analysis was done with functional limitation. Then, multivariate Poisson regression with robust variance was performed to test which of the health-related variables and sociodemographic variables were independently associated with physical disability and functional limitation. Variables with clinical and statistical significance (P value of <.05 in the univariate analysis) were regarded as being significant. Participants with cognitive impairment identified through scores of less than five based on the elderly cognitive assessment questionnaire (ECAQ), were removed from the analysis (n=43). Individual medical conditions (such as stroke, diabetes, arthritis, etc.) were used as explanatory variables in the analysis to find out their association with disability as well as functional limitation.


## 2.6. Ethical Approval

Due to very high illiteracy level in the study areas, informed (verbal) consent was obtained from all participants.


## 3. Results

### 3.1. Response Rate

Of the 1905 questionnaires distributed to elderly people who satisfied the inclusion criteria, 1824 respondents completed the questionnaire and were also available for physical examination, giving a response rate of 95.7%. Reasons for nonresponse include lack of interest (25%), competing issues (60%), sickness (5%), and traveling (10%).


### 3.2. Respondents Sociodemographic and Health Variables

Table1 depicts the sociodemographic and health variables of the respondents. The age of respondents ranged from 60 to 87 yrs (with mean age of 69±7 years SD). Of the elderly men, 31.2% were within 60–64 yrs age group, 28.6% were 65–69 years, 23.7% were 70–74 yrs, and 16.5% were 70 years and above. In the elderly women category, 34.6% were within 60–64 yrs age group, 26.1% were 65–69 years, 21.1% were 70–74 yrs, and 18.2% were 70 years and above. There were more elderly women [977 (53.3%)] than elderly men [847 (46.7%)]. Illiteracy level was 85% and of those that were literate, 87% had primary education and 11% had secondary education and 3% had tertiary education. Of all the elderly women, only 4.6% had secondary education, 15.3% had primary education and 80.1% had no formal education. None of the elderly women had tertiary level of education. Kanuri (84.%) constitutes the major ethnic group, while Fulani and Hausa represent 8.8% and 7.2%, respectively. Marital status of elderly men showed 86.3% married, 10.8% widowed, 1.8% divorced, and 1.1% single. Of the elderly women, 45.7% were married, 38.5% were widowed, 11.1% were divorced, and 4.7% were single.Table 1
Respondents sociodemographic and health related variables by sex.
VariablesMale frequency (%)Female frequency (%)Total frequency (%)Age60–64265 (31.2)338 (34.6)603 (33.1)65–69242 (28.6)255 (26.1)497 (27.3)70–74201 (23.7)206 (21.1)407 (22.3)75 & above139 (16.5)178 (18.2)317 (20.3)Total847 (100.0)977 (100.0)1824 (100.0)Marital  statusMarried730 (86.3)446 (45.7)1166 (63.9)Widowed93 (10.8)376 (38.5)469 (25.7)Divorced15 (1.8)109 (11.1)124 (6.8)Single19 (1.1)46 (4.7)65 (3.6)Total847 (100.0)977 (100.0)1824 (100.0)Educational  levelNo formal education352 (41.6)783 (80.1)1135 (62.2)Primary education365 (43.0)149 (15.3)514 (28.2)Secondary education116 (13.8)45 (4.6)161 (8.8)Tertiary education14 (1.6)0 (0.0)14 (0.8)Total847 (100.0)977 (100.0)1824 (100.0)EthnicityKanuri645 (76. 2)818 (83.7)1532 (84.0)Fulani120 (14.2)92 (9.5)161 (8.8)Hausa82 (9.6)67 (6.8)131 (7.2)Total847 (100.0)977 (100.0)1824 (100.0)Living  arrangementLiving alone70 (8.3)142 (14.5)212 (11.6)Living with others777 (91.7)835 (85.5)1612 (88.4)Total847 (100.0)977 (100.0)1824 (100.0)Social  support  statusLikely to be isolated115 (13.6)216 (22.2)331 (18.1)Isolation not likely732 (86.4)761 (77.8)1493 (81.9)Total847 (100.0)977 (100.0)1824 (100.0)Cognitive  statusNormal780 (92.1)801 (81.2)1581 (86.7)Borderline cognitive impaired52 (6.1)123 (12.6)175 (9.6)Probably cognitive impaired15 (1.8)53 (5.4)68 (3.7)Total847 (100.0)977 (100.0)1824 (100.0)Depression  assessmentNo655 (77.3)732 (74.9)1387 (76.0)Yes192 (22.7)245 (25.1)437 (24.0)Total847 (100.0)977 (100.0)1824 (100.0)BMI (Kg/m2)Underweight (<20.0)401 (47.3)357 (36.5)758 (41.6)Normal (20.0–24.9)368 (43.3)405 (41.5)773 (42.4)Overweight (25.0–29.9)55 (6.5)163 (16.7)218 (11.9)Obese   (≥30.0)23 (2.7)52 (5.3)75 (4.1)Total847 (100.0)977 (100.0)1824 (100.0)Chronic  disease  status0254 (30.0)387 (39.6)641 (35.1)1462 (54.5)535 (54.8)997 (54.7)>1131 (15.5)55 (24.0)186 (10.2)Total847 (100.0)977 (100.0)1824 (100.0)Monthly  income<100 US$/Month651 (76.9)780 (79.8)1431 (78.5)100–199 US$/Month124 (14.6)120 (12.3)244 (13.4)200–299 US$/Month47 (5.5)55 (5.6)102 (5.6)>300 US$/Month25 (3.0)22 (2.3)47 (3.5)Total847 (100.0)977 (100.0)1824 (100.0)Owning  a  modern  houseNo807 (95.3)951 (74.9)1758 (96.4)Yes40 (4.7)26 (25.1)66 (3.6)Total847 (100.0)977 (100.0)1824 (100.0)Owning  a  carNo799 (94.3)908 (92.9)1707 (93.6)Yes48 (5.7)69 (7.1)117 (6.4)Total847 (100.0)977 (100.0)1824 (100.0)More than four-fifth (88.4%) of the respondents live with other family members, while 11.6% lived alone. In both sexes, more than two-thirds had normal cognitive function, 92.1% in elderly men and 81.2% in elderly women. Elderly women (12.6%) are two times borderline cognitive impaired compared with elderly men (6.1%). Also, elderly women (5.4%) are about three times probably cognitive impaired compared with elderly men (1.8%). More elderly women (24%) had more than one chronic disease than elderly men (15.5%). Elderly women (25.1%) are slightly more depressed than elderly men (22.7%). Elderly women (16.4%) are also more overweight than elderly men (12.5%). More than three-quarters (78.5%) earned less than one hundred American Dollars per month and less than 5% of the participants earned more than three hundred American Dollars per month (Table1).


### 3.3. Physical Disability and Functional Limitation Prevalence Rate

The prevalence rates for physical disability and functional limitation are shown in Table2. More than one-quarter (28.3%) of the respondents signified interest for assistance in at least one of the 10 ADLs in the Barthel index. The prevalence of disability based on at least one item of the six ADL scale was 15.7% and prevalence of disability based on at least one item in the five ADL scale was 12.1%. The prevalence of functional limitation was 22.5%. The overall prevalence of disability (10 items ADL, 6 items ADL, and 5 items ADL) and functional limitation increased with advancing age. The prevalence of needing help in at least one of the ten ADLs of the Barthel index increased from 11.7 in those aged 60–64 years, to 98.9% of those aged 75 years and older (Table 2). The prevalence of functional limitation rose from 12.4% in those aged 60 to 64 years to 98.3% in the 75 years and above age group (Table 2). In all the participants, the prevalence of both self-reported physical disability and objective measurement of functional limitation was higher in elderly women than in elderly men (Table 2). Among the three ethnic groups, Kanuris had the highest prevalence of physical disability (10 items ADL, 6 items ADL, and 5 items ADL) compared to the Fulanis and Hausa (Figure 1).Table 2
Prevalence of physical disability and functional limitation among elderly Nigerian (n=1824).
VariableNActivities of daily living (ADL) dependenceFunctional limitation10 items6 items5 itemsRR [95% CI]RR [95% CI]RR [95% CI]RR [95% CI]Overall≥60182428.3 (25.2, 31. 5)15.7 (13.4, 19.8)12.1 (9.8, 15.3)22.5 (18.1, 24. 4)≥65122139.1 (35.4, 44. 5)21.4 (17.8, 25.6)15.6 (12.6, 19.2)28.2 (25.3, 32.8)≥7082445.5 (42.8, 52.8)27.3 (22.4, 31.9)22.2 (17.7, 25.4)38.0 (32.5, 43.7)≥7531752.8 (43.8, 61.7)34.6 (28.3, 45.1)26.6 (19.4, 35.3)51.5 (43.7, 60.5)Age  group60–6460311.7 (7.5, 18.3)10.3 (6.4, 17.30)8.1 (4.2, 14.36)12.4 (7.2, 19.2)65–6949772.3 (52.2, 89.5)31.3 (19.7, 50.5)22.3 (11.5, 33.7)38.4 (32.3, 55.2)70–7440778.4 (64.2, 94.3)37.7 (27.3, 53.2)29.9 (20.2, 44.5)48.8 (37.6, 66.4)≥7531798.9 (85.3, 111.7)59.9 (52.3, 86.2)50.4 (35.5, 65.7)98.3 (40.1, 56.6)Male≥60 (overall)84734.8 (33.3, 52.3)25.7 (17.7, 31.6)16.6 (12.3, 25.6)29.3 (22.7, 38.8)60–6426515.3 (7.1, 29.5)10.8 (5.3, 20.3)9.7 (3.5, 22.4)9.8 (3.3, 11.2)65–6924237.7 (23.0, 64.2)15.4 (7.5, 32.6)17.4 (6.8, 26.8)27.7 (15.7, 26.8)70–7420163.4 (40.7, 85.3)32.4 (15.7, 59.3)23.2 (11.4, 52.6)34.7 (17.6, 63.2)≥7513973.4 (51.1, 99.6)41.3 (21.7, 69.8)30.0 (14.4, 59.8)72.2 (43.9, 52.7)Female≥60 (overall)97758.5 (49.3, 64.7)32.2 (25.3, 37.5)23.4 (17.3, 29.6)46.4 (40.1, 54.3)60–6433819.7 (6.7, 13.3)11.5 (7.7, 21.6)15.7 (2.6, 16.2)13.7 (7.1, 24.7)65–6925552.4 (35.7, 73.4)17.6 (7.5, 32.6)23.7 (5.7, 28.3)24.6 (13.8, 42.8)70–7420685.7 (64.6, 105.8)37.5 (25.7, 58.7)32.3 (18.6, 53.2)53.4 (40.2, 37.4)≥7517884.7 (89.6, 135.3)77.4 (60.2, 92.1)60.3 (43.5, 80.6)116.8 (89.8, 135.7)Monthly  income  (US$/Month)<100143133.2 (18.3, 34.7)25.6 (22.7, 27.9)18.8 (17.3, 20.3)26.1 (23.7, 29.5)100–1992446.9 (3.1, 8.3)5.8 (4.7, 6.2)7.1 (6.6, 8.4)8.7 (7.3, 9.4)200–2991022.4 (1.9, 3.7)1.9 (1.1, 2.3)2.5 (1.9, 3.6)3.1 (2.8, 4.5)>300470.6 (0.2–0.9)0.7 (1.2, 1.8)0.6 (0.2, 1.4)1.4 (0.8, 1.9)Figure 1
Prevalence of physical disability and functional limitation by ethic group among Nigerian rural elderly.However, the prevalence of functional limitation was almost similar across all ethnic groups. The correlations between performance-based functional limitation and self-reported physical disability among the different ethnic groups showed thus that the correlation coefficient for Kanuris, Hausas, and Fulanis were 0.52, 0.48, and 0.23, respectively. Elderly persons with levels of mid-arm circumference indicative of severe malnutrition had an increased risk of physical disability and functional limitation (Table3). Among the four groups of monthly level of income, respondents that earned less than 100 US$/month had the highest prevalence of physical disability (10 items ADL, 6 items ADL, and 5 items ADL). The prevalence of functional limitation rose from 0.6% in those that earned more than 300 US$/month to 33.2% in those that earned less 100 US$ /month.Table 3
Univariate analysis of variables associated with 10 items ADL dependence.
VariablesPhysical disability(present) frequency (%)Physical disability(absent) frequency (%)Unadjusted prevalence ratioPR (95% CI)Age  group60–6431 (9.5)296 (90.5)1.0 (Reference)65–6963 (27.5)166 (72.5)7.1 (5.2, 8.0)70–7494 (39.8)142 (60.2)12.3 (9.2, 19.6)≥75102 (50.5)100 (49.5)23.2 (15.2, 33.7)SexMale197 (23.2)650 (76.8)1.0 (Reference)Female306 (31.3)671 (68.7)3.9 (2.8, 7.4)Ethnic  groupKanuri402 (26.2)1130 (73.8)1.00Fulani49 (30.4)112 (69.6)2.8 (1.3, 3.6)Hausa43 (32.8)88 (67.2)2.2 (1.4, 4.6)Education  levelTertiary education4 (28.6)9 (71.4)1.0 (Reference)Secondary45 (27.9)116 (72.1)1.6 (1.2–3.8)Primary education115 (22.4)399 (77.6)3.2 (2.6, 4.4)No formal education320 (36.6)1105 (63.4)4.7 (2.5, 7.8)Marital  statusMarried308 (26.4)858 (73.62)1.0 (Reference)Widowed133 (28.4)336 (71.6)1.6 (0.9, 2.3)Divorced24 (19.4)100 (80.6)1.8 (0.7, 2.6)Single9 (13.8)56 (86.2)1.6 (0.8, 3.1)Living  arrangementsLiving with others399 (24.8)1213 (75.2)1.0 (Reference)Living alone63 (29.7)149 (60.3)3.2 (2.7, 10.6)Social  supportNot at risk of isolation366 (24.5)1277 (75.5)1.0 (Reference)At risk of isolation115 (34.7)320 (65.3)1.8 (1.5, 3.8)Presence  of  chronic  diseaseNone93 (14.5)548 (85.5)1.0 (Reference)One chronic disease260 (26.1)737 (73.9)6.2 (7.7, 13.8)More than one101 (54.3)85 (45.7)13.6 (9.7, 15.3)DiabetesNo40 (20.8)152 (79.2)1.0 (Reference)Yes145 (44.1)184 (55.9)5.7 (4.9, 12.3)ArthritisNo47 (22.3)166 (77.7)1.0 (Reference)Yes90 (42.3)123 (57.7)4.1 (2.8, 5.3)StrokeNo25 (25.0)75 (75.0)1.0 (Reference)Yes70 (51.5)66 (48.5)4.7 (3.1, 7.4)MalnutritionNo69 (20.1)274 (79.9)1.0 (Reference)Yes242 (54.4)203 (45.6)5.3 (4.4, 7.9)Depressive  symptomatologyNo313 (22.5)1047 (77.5)1.0 (Reference)Yes174 (39.8)263 (60.2)3.9 (3.0, 5.2)Presenting  visual  acuityNormal260 (26.1)737 (73.9)1.0 (Reference)Mild to moderate visual impairment47 (35.9)84 (64.1)3.5 (3.3, 8.8)Blind240 (34.5)456 (65.5)4.8 (3.5, 8.7)BMI  (Kg/m2)Normal184 (24.7)574 (75.3)1.0 (Reference)Underweight142 (18.4)631 (81.6)2.8 (1.9, 3.7)Overweight53 (24.3)165 (75.7)2.5 (1.6, 3.5)Obese17 (22.7)58 (77.3)2.2 (1.4, 2.9)


### 3.4. Outcome of Sociodemographic and Health Correlates on Physical Disability and Functional Limitation

With increase in age, elderly women with low education self-reported one or more chronic diseases than their elderly men counterparts. This study also showed that having depressive symptomatology and presence of visual impairment (mild-to-moderate blindness) were found to be more associated with physical disability. Furthermore, being at risk of isolation was associated with functional limitation (Table4). In Table 4, all explanatory variables except ethnicity used in the univariate analysis were significantly associated with functional limitation. The multivariate associations between physical disability and functional limitation, and sociodemographic and health-related variables are shown in Table 5.Table 4
Univariate analysis of variables associated with functional limitation variables.
VariablesFunctional limitation presentFunctional limitation absentUnadjusted prevalence ratioPresent  frequency (%)Absent frequency (%)PR (95% CI)Age  group60–6438 (6.3)565 (93.7)1.0 (Reference)65–6970 (14.1)427 (85.9)5.5 (4.2, 6.8)70–74105 (25.8)302 (74.2)10.3 (6.6, 14.7)≥ 75150 (47.3)167 (52.7)18.5 (11.1, 33.7)SexMale130 (15.3)717 (84.7)1.0 (Reference)Female218 (22.3)759 (77.7)3.6 (2.5, 5.8)Ethnic  groupKanuri320 (20.9)1312 (79.1)1.0 (Reference)Fulani38 (23.6)123 (76.4)1.2 (0.7, 1.5)Hausa15 (11.4)123 (88.6)1.1 (0.7, 2.4)Education  levelTertiary education1 (7.1)13 (92.9)1.0 (Reference)Secondary education17 (11.8)144 (88.2)2.2 (1.3, 3.6)Primary education90 (19.5)424 (80.5)3.7 (2.6, 5.8)No formal education332 (29.3)803 (70.7)6.3 (3.8, 11.6)Marital  statusMarried240 (20.60)926 (79.4)1.0 (Reference)Widowed110 (23.5)359 (76.5)2.2 (1.3, 3.5)Single2 (1.6)122 (98.4)2.7 (1.6, 3.7)Divorced1 (1.5)64 (98.5)2.9 (1.8, 4.4)Living  arrangementsLiving with others340 (21.1)1272 (78.9)1.0 (Reference)Living alone37 (17.5)175 (82.5)2.3 (1.4, 2.7)Social  supportNot at risk of isolation280 (18.8)1213 (81.3)1.0 (Reference)At risk of isolation88 (26.6)243 (73.4)2.8 (1.9, 4.5)Presence  of  chronic  diseaseNone37 (5.7)604 (94.3)1.0 (Reference)One chronic disease230 (23.1)767 (76.9)9.6 (5.7, 12.4)More than one chronic-disease73 (39.2)113 (60.8)18.8 (9.4, 35.7)DiabetesNo160 (17.2)766 (82.8)1.0 (Reference)Yes337 (37.5)561 (62.5)9.4 (8.7, 12.8)ArthritisNo171 (14.5)1001 (85.5)1.0 (Reference)Yes260 (39.9)392 (60.1)8.9 (6.8, 11.5)StrokeNo255 (20.4)993 (79.6)1.0 (Reference)Yes251 (43.6)325 (56.4)5.8 (3.9, 7.2)Depressive  symptomatologyNo211 (15.2)1176 (84.8)1.0 (Reference) 1387Yes163 (37.3)274 (62.7)9.9 (7.4, 14.5)Presenting  visual  acuityNormal252 (16.8)1250 (83.2)1.0 (Reference)Mild to moderate-Visual impairment70 (31.7)151 (68.3)1.8 (1.2, 2.9)Blind40 (33.1)81 (66.9)5.6 (3.7, 8.8)BMI  (Kg/m2)Normal158 (20.8)600 (78.1)1.0 (Reference)Underweight198 (25.6)575 (74.4)2.4 (1.9, 4.2)Overweight44 (20.2)174 (79.8)2.6 (2.2, 4.7)Obese13 (17.3)62 (82.7)2.7 (2.5, 5.3)Table 5
Adjusted prevalence ratios for associations between sociodemographic and health related variables and poor physical function among elderly rural Nigerian.
VariablesPhysical disability*as-dependent variable (n=1824)Functional limitationas-dependent variable (n=1824)Age  group60–641.01.065–693.1 (2.2, 3.6)5.2 (3.7, 7.8)70–7414.4 (10.2, 17.6)7.5 (5.4, 11.2)≥7522.2 (14.5, 36.8)10.5 (5.4, 16.4)Female3.6 (1.5, 7.4)9.3 (3.7, 18.3)Self  reported  chronic  medical  condition**Diabetes mellitus6.1 (4.3, 7.1)3.8 (3.1, 5.2)Stroke4.8 (3.7, 7.9)3.6 (2.2, 5.4)Arthritis3.7 (2.6, 4.6)5.2 (3.5, 6.8)Presence  of  depressive-symtomatology**4.2 (3.3, 5.9)6.4 (4.7, 9.2)Presenting  visual  acuityNormal1.01.0Mild-to-moderate visual impairment5.2 (3.4, 7.3)3.8 (2.5, 6.7)Blind6.6 (3.6, 11.9)4.7 (2.2, 10.4)Table5 shows a significant independent associations between physical disability and advanced age, (≥75 years: prevalence ratio (PR) 22.2; 95% CI 14.5–36.8), presence of diabetes (PR 6.1; 95% CI 4.3–7.1), and visual impairment (blindness: PR 6.6; 95% CI 3.6–11.9). The independent variables found to be associated with functional limitation include advanced age, (≥75 years: PR 10.5; 95% CI 5.4–16.4), female gender (PR 9.3; 95% CI 3.7–18.3), presence of arthritis (PR 5.2; 95% CI 3.5–6.8), and having depressive symptomatology (PR 6.4; 95% CI 4.7–9.2).


## 3.1. Response Rate

Of the 1905 questionnaires distributed to elderly people who satisfied the inclusion criteria, 1824 respondents completed the questionnaire and were also available for physical examination, giving a response rate of 95.7%. Reasons for nonresponse include lack of interest (25%), competing issues (60%), sickness (5%), and traveling (10%).


## 3.2. Respondents Sociodemographic and Health Variables

Table1 depicts the sociodemographic and health variables of the respondents. The age of respondents ranged from 60 to 87 yrs (with mean age of 69±7 years SD). Of the elderly men, 31.2% were within 60–64 yrs age group, 28.6% were 65–69 years, 23.7% were 70–74 yrs, and 16.5% were 70 years and above. In the elderly women category, 34.6% were within 60–64 yrs age group, 26.1% were 65–69 years, 21.1% were 70–74 yrs, and 18.2% were 70 years and above. There were more elderly women [977 (53.3%)] than elderly men [847 (46.7%)]. Illiteracy level was 85% and of those that were literate, 87% had primary education and 11% had secondary education and 3% had tertiary education. Of all the elderly women, only 4.6% had secondary education, 15.3% had primary education and 80.1% had no formal education. None of the elderly women had tertiary level of education. Kanuri (84.%) constitutes the major ethnic group, while Fulani and Hausa represent 8.8% and 7.2%, respectively. Marital status of elderly men showed 86.3% married, 10.8% widowed, 1.8% divorced, and 1.1% single. Of the elderly women, 45.7% were married, 38.5% were widowed, 11.1% were divorced, and 4.7% were single.Table 1
Respondents sociodemographic and health related variables by sex.
VariablesMale frequency (%)Female frequency (%)Total frequency (%)Age60–64265 (31.2)338 (34.6)603 (33.1)65–69242 (28.6)255 (26.1)497 (27.3)70–74201 (23.7)206 (21.1)407 (22.3)75 & above139 (16.5)178 (18.2)317 (20.3)Total847 (100.0)977 (100.0)1824 (100.0)Marital  statusMarried730 (86.3)446 (45.7)1166 (63.9)Widowed93 (10.8)376 (38.5)469 (25.7)Divorced15 (1.8)109 (11.1)124 (6.8)Single19 (1.1)46 (4.7)65 (3.6)Total847 (100.0)977 (100.0)1824 (100.0)Educational  levelNo formal education352 (41.6)783 (80.1)1135 (62.2)Primary education365 (43.0)149 (15.3)514 (28.2)Secondary education116 (13.8)45 (4.6)161 (8.8)Tertiary education14 (1.6)0 (0.0)14 (0.8)Total847 (100.0)977 (100.0)1824 (100.0)EthnicityKanuri645 (76. 2)818 (83.7)1532 (84.0)Fulani120 (14.2)92 (9.5)161 (8.8)Hausa82 (9.6)67 (6.8)131 (7.2)Total847 (100.0)977 (100.0)1824 (100.0)Living  arrangementLiving alone70 (8.3)142 (14.5)212 (11.6)Living with others777 (91.7)835 (85.5)1612 (88.4)Total847 (100.0)977 (100.0)1824 (100.0)Social  support  statusLikely to be isolated115 (13.6)216 (22.2)331 (18.1)Isolation not likely732 (86.4)761 (77.8)1493 (81.9)Total847 (100.0)977 (100.0)1824 (100.0)Cognitive  statusNormal780 (92.1)801 (81.2)1581 (86.7)Borderline cognitive impaired52 (6.1)123 (12.6)175 (9.6)Probably cognitive impaired15 (1.8)53 (5.4)68 (3.7)Total847 (100.0)977 (100.0)1824 (100.0)Depression  assessmentNo655 (77.3)732 (74.9)1387 (76.0)Yes192 (22.7)245 (25.1)437 (24.0)Total847 (100.0)977 (100.0)1824 (100.0)BMI (Kg/m2)Underweight (<20.0)401 (47.3)357 (36.5)758 (41.6)Normal (20.0–24.9)368 (43.3)405 (41.5)773 (42.4)Overweight (25.0–29.9)55 (6.5)163 (16.7)218 (11.9)Obese   (≥30.0)23 (2.7)52 (5.3)75 (4.1)Total847 (100.0)977 (100.0)1824 (100.0)Chronic  disease  status0254 (30.0)387 (39.6)641 (35.1)1462 (54.5)535 (54.8)997 (54.7)>1131 (15.5)55 (24.0)186 (10.2)Total847 (100.0)977 (100.0)1824 (100.0)Monthly  income<100 US$/Month651 (76.9)780 (79.8)1431 (78.5)100–199 US$/Month124 (14.6)120 (12.3)244 (13.4)200–299 US$/Month47 (5.5)55 (5.6)102 (5.6)>300 US$/Month25 (3.0)22 (2.3)47 (3.5)Total847 (100.0)977 (100.0)1824 (100.0)Owning  a  modern  houseNo807 (95.3)951 (74.9)1758 (96.4)Yes40 (4.7)26 (25.1)66 (3.6)Total847 (100.0)977 (100.0)1824 (100.0)Owning  a  carNo799 (94.3)908 (92.9)1707 (93.6)Yes48 (5.7)69 (7.1)117 (6.4)Total847 (100.0)977 (100.0)1824 (100.0)More than four-fifth (88.4%) of the respondents live with other family members, while 11.6% lived alone. In both sexes, more than two-thirds had normal cognitive function, 92.1% in elderly men and 81.2% in elderly women. Elderly women (12.6%) are two times borderline cognitive impaired compared with elderly men (6.1%). Also, elderly women (5.4%) are about three times probably cognitive impaired compared with elderly men (1.8%). More elderly women (24%) had more than one chronic disease than elderly men (15.5%). Elderly women (25.1%) are slightly more depressed than elderly men (22.7%). Elderly women (16.4%) are also more overweight than elderly men (12.5%). More than three-quarters (78.5%) earned less than one hundred American Dollars per month and less than 5% of the participants earned more than three hundred American Dollars per month (Table1).


## 3.3. Physical Disability and Functional Limitation Prevalence Rate

The prevalence rates for physical disability and functional limitation are shown in Table2. More than one-quarter (28.3%) of the respondents signified interest for assistance in at least one of the 10 ADLs in the Barthel index. The prevalence of disability based on at least one item of the six ADL scale was 15.7% and prevalence of disability based on at least one item in the five ADL scale was 12.1%. The prevalence of functional limitation was 22.5%. The overall prevalence of disability (10 items ADL, 6 items ADL, and 5 items ADL) and functional limitation increased with advancing age. The prevalence of needing help in at least one of the ten ADLs of the Barthel index increased from 11.7 in those aged 60–64 years, to 98.9% of those aged 75 years and older (Table 2). The prevalence of functional limitation rose from 12.4% in those aged 60 to 64 years to 98.3% in the 75 years and above age group (Table 2). In all the participants, the prevalence of both self-reported physical disability and objective measurement of functional limitation was higher in elderly women than in elderly men (Table 2). Among the three ethnic groups, Kanuris had the highest prevalence of physical disability (10 items ADL, 6 items ADL, and 5 items ADL) compared to the Fulanis and Hausa (Figure 1).Table 2
Prevalence of physical disability and functional limitation among elderly Nigerian (n=1824).
VariableNActivities of daily living (ADL) dependenceFunctional limitation10 items6 items5 itemsRR [95% CI]RR [95% CI]RR [95% CI]RR [95% CI]Overall≥60182428.3 (25.2, 31. 5)15.7 (13.4, 19.8)12.1 (9.8, 15.3)22.5 (18.1, 24. 4)≥65122139.1 (35.4, 44. 5)21.4 (17.8, 25.6)15.6 (12.6, 19.2)28.2 (25.3, 32.8)≥7082445.5 (42.8, 52.8)27.3 (22.4, 31.9)22.2 (17.7, 25.4)38.0 (32.5, 43.7)≥7531752.8 (43.8, 61.7)34.6 (28.3, 45.1)26.6 (19.4, 35.3)51.5 (43.7, 60.5)Age  group60–6460311.7 (7.5, 18.3)10.3 (6.4, 17.30)8.1 (4.2, 14.36)12.4 (7.2, 19.2)65–6949772.3 (52.2, 89.5)31.3 (19.7, 50.5)22.3 (11.5, 33.7)38.4 (32.3, 55.2)70–7440778.4 (64.2, 94.3)37.7 (27.3, 53.2)29.9 (20.2, 44.5)48.8 (37.6, 66.4)≥7531798.9 (85.3, 111.7)59.9 (52.3, 86.2)50.4 (35.5, 65.7)98.3 (40.1, 56.6)Male≥60 (overall)84734.8 (33.3, 52.3)25.7 (17.7, 31.6)16.6 (12.3, 25.6)29.3 (22.7, 38.8)60–6426515.3 (7.1, 29.5)10.8 (5.3, 20.3)9.7 (3.5, 22.4)9.8 (3.3, 11.2)65–6924237.7 (23.0, 64.2)15.4 (7.5, 32.6)17.4 (6.8, 26.8)27.7 (15.7, 26.8)70–7420163.4 (40.7, 85.3)32.4 (15.7, 59.3)23.2 (11.4, 52.6)34.7 (17.6, 63.2)≥7513973.4 (51.1, 99.6)41.3 (21.7, 69.8)30.0 (14.4, 59.8)72.2 (43.9, 52.7)Female≥60 (overall)97758.5 (49.3, 64.7)32.2 (25.3, 37.5)23.4 (17.3, 29.6)46.4 (40.1, 54.3)60–6433819.7 (6.7, 13.3)11.5 (7.7, 21.6)15.7 (2.6, 16.2)13.7 (7.1, 24.7)65–6925552.4 (35.7, 73.4)17.6 (7.5, 32.6)23.7 (5.7, 28.3)24.6 (13.8, 42.8)70–7420685.7 (64.6, 105.8)37.5 (25.7, 58.7)32.3 (18.6, 53.2)53.4 (40.2, 37.4)≥7517884.7 (89.6, 135.3)77.4 (60.2, 92.1)60.3 (43.5, 80.6)116.8 (89.8, 135.7)Monthly  income  (US$/Month)<100143133.2 (18.3, 34.7)25.6 (22.7, 27.9)18.8 (17.3, 20.3)26.1 (23.7, 29.5)100–1992446.9 (3.1, 8.3)5.8 (4.7, 6.2)7.1 (6.6, 8.4)8.7 (7.3, 9.4)200–2991022.4 (1.9, 3.7)1.9 (1.1, 2.3)2.5 (1.9, 3.6)3.1 (2.8, 4.5)>300470.6 (0.2–0.9)0.7 (1.2, 1.8)0.6 (0.2, 1.4)1.4 (0.8, 1.9)Figure 1
Prevalence of physical disability and functional limitation by ethic group among Nigerian rural elderly.However, the prevalence of functional limitation was almost similar across all ethnic groups. The correlations between performance-based functional limitation and self-reported physical disability among the different ethnic groups showed thus that the correlation coefficient for Kanuris, Hausas, and Fulanis were 0.52, 0.48, and 0.23, respectively. Elderly persons with levels of mid-arm circumference indicative of severe malnutrition had an increased risk of physical disability and functional limitation (Table3). Among the four groups of monthly level of income, respondents that earned less than 100 US$/month had the highest prevalence of physical disability (10 items ADL, 6 items ADL, and 5 items ADL). The prevalence of functional limitation rose from 0.6% in those that earned more than 300 US$/month to 33.2% in those that earned less 100 US$ /month.Table 3
Univariate analysis of variables associated with 10 items ADL dependence.
VariablesPhysical disability(present) frequency (%)Physical disability(absent) frequency (%)Unadjusted prevalence ratioPR (95% CI)Age  group60–6431 (9.5)296 (90.5)1.0 (Reference)65–6963 (27.5)166 (72.5)7.1 (5.2, 8.0)70–7494 (39.8)142 (60.2)12.3 (9.2, 19.6)≥75102 (50.5)100 (49.5)23.2 (15.2, 33.7)SexMale197 (23.2)650 (76.8)1.0 (Reference)Female306 (31.3)671 (68.7)3.9 (2.8, 7.4)Ethnic  groupKanuri402 (26.2)1130 (73.8)1.00Fulani49 (30.4)112 (69.6)2.8 (1.3, 3.6)Hausa43 (32.8)88 (67.2)2.2 (1.4, 4.6)Education  levelTertiary education4 (28.6)9 (71.4)1.0 (Reference)Secondary45 (27.9)116 (72.1)1.6 (1.2–3.8)Primary education115 (22.4)399 (77.6)3.2 (2.6, 4.4)No formal education320 (36.6)1105 (63.4)4.7 (2.5, 7.8)Marital  statusMarried308 (26.4)858 (73.62)1.0 (Reference)Widowed133 (28.4)336 (71.6)1.6 (0.9, 2.3)Divorced24 (19.4)100 (80.6)1.8 (0.7, 2.6)Single9 (13.8)56 (86.2)1.6 (0.8, 3.1)Living  arrangementsLiving with others399 (24.8)1213 (75.2)1.0 (Reference)Living alone63 (29.7)149 (60.3)3.2 (2.7, 10.6)Social  supportNot at risk of isolation366 (24.5)1277 (75.5)1.0 (Reference)At risk of isolation115 (34.7)320 (65.3)1.8 (1.5, 3.8)Presence  of  chronic  diseaseNone93 (14.5)548 (85.5)1.0 (Reference)One chronic disease260 (26.1)737 (73.9)6.2 (7.7, 13.8)More than one101 (54.3)85 (45.7)13.6 (9.7, 15.3)DiabetesNo40 (20.8)152 (79.2)1.0 (Reference)Yes145 (44.1)184 (55.9)5.7 (4.9, 12.3)ArthritisNo47 (22.3)166 (77.7)1.0 (Reference)Yes90 (42.3)123 (57.7)4.1 (2.8, 5.3)StrokeNo25 (25.0)75 (75.0)1.0 (Reference)Yes70 (51.5)66 (48.5)4.7 (3.1, 7.4)MalnutritionNo69 (20.1)274 (79.9)1.0 (Reference)Yes242 (54.4)203 (45.6)5.3 (4.4, 7.9)Depressive  symptomatologyNo313 (22.5)1047 (77.5)1.0 (Reference)Yes174 (39.8)263 (60.2)3.9 (3.0, 5.2)Presenting  visual  acuityNormal260 (26.1)737 (73.9)1.0 (Reference)Mild to moderate visual impairment47 (35.9)84 (64.1)3.5 (3.3, 8.8)Blind240 (34.5)456 (65.5)4.8 (3.5, 8.7)BMI  (Kg/m2)Normal184 (24.7)574 (75.3)1.0 (Reference)Underweight142 (18.4)631 (81.6)2.8 (1.9, 3.7)Overweight53 (24.3)165 (75.7)2.5 (1.6, 3.5)Obese17 (22.7)58 (77.3)2.2 (1.4, 2.9)


## 3.4. Outcome of Sociodemographic and Health Correlates on Physical Disability and Functional Limitation

With increase in age, elderly women with low education self-reported one or more chronic diseases than their elderly men counterparts. This study also showed that having depressive symptomatology and presence of visual impairment (mild-to-moderate blindness) were found to be more associated with physical disability. Furthermore, being at risk of isolation was associated with functional limitation (Table4). In Table 4, all explanatory variables except ethnicity used in the univariate analysis were significantly associated with functional limitation. The multivariate associations between physical disability and functional limitation, and sociodemographic and health-related variables are shown in Table 5.Table 4
Univariate analysis of variables associated with functional limitation variables.
VariablesFunctional limitation presentFunctional limitation absentUnadjusted prevalence ratioPresent  frequency (%)Absent frequency (%)PR (95% CI)Age  group60–6438 (6.3)565 (93.7)1.0 (Reference)65–6970 (14.1)427 (85.9)5.5 (4.2, 6.8)70–74105 (25.8)302 (74.2)10.3 (6.6, 14.7)≥ 75150 (47.3)167 (52.7)18.5 (11.1, 33.7)SexMale130 (15.3)717 (84.7)1.0 (Reference)Female218 (22.3)759 (77.7)3.6 (2.5, 5.8)Ethnic  groupKanuri320 (20.9)1312 (79.1)1.0 (Reference)Fulani38 (23.6)123 (76.4)1.2 (0.7, 1.5)Hausa15 (11.4)123 (88.6)1.1 (0.7, 2.4)Education  levelTertiary education1 (7.1)13 (92.9)1.0 (Reference)Secondary education17 (11.8)144 (88.2)2.2 (1.3, 3.6)Primary education90 (19.5)424 (80.5)3.7 (2.6, 5.8)No formal education332 (29.3)803 (70.7)6.3 (3.8, 11.6)Marital  statusMarried240 (20.60)926 (79.4)1.0 (Reference)Widowed110 (23.5)359 (76.5)2.2 (1.3, 3.5)Single2 (1.6)122 (98.4)2.7 (1.6, 3.7)Divorced1 (1.5)64 (98.5)2.9 (1.8, 4.4)Living  arrangementsLiving with others340 (21.1)1272 (78.9)1.0 (Reference)Living alone37 (17.5)175 (82.5)2.3 (1.4, 2.7)Social  supportNot at risk of isolation280 (18.8)1213 (81.3)1.0 (Reference)At risk of isolation88 (26.6)243 (73.4)2.8 (1.9, 4.5)Presence  of  chronic  diseaseNone37 (5.7)604 (94.3)1.0 (Reference)One chronic disease230 (23.1)767 (76.9)9.6 (5.7, 12.4)More than one chronic-disease73 (39.2)113 (60.8)18.8 (9.4, 35.7)DiabetesNo160 (17.2)766 (82.8)1.0 (Reference)Yes337 (37.5)561 (62.5)9.4 (8.7, 12.8)ArthritisNo171 (14.5)1001 (85.5)1.0 (Reference)Yes260 (39.9)392 (60.1)8.9 (6.8, 11.5)StrokeNo255 (20.4)993 (79.6)1.0 (Reference)Yes251 (43.6)325 (56.4)5.8 (3.9, 7.2)Depressive  symptomatologyNo211 (15.2)1176 (84.8)1.0 (Reference) 1387Yes163 (37.3)274 (62.7)9.9 (7.4, 14.5)Presenting  visual  acuityNormal252 (16.8)1250 (83.2)1.0 (Reference)Mild to moderate-Visual impairment70 (31.7)151 (68.3)1.8 (1.2, 2.9)Blind40 (33.1)81 (66.9)5.6 (3.7, 8.8)BMI  (Kg/m2)Normal158 (20.8)600 (78.1)1.0 (Reference)Underweight198 (25.6)575 (74.4)2.4 (1.9, 4.2)Overweight44 (20.2)174 (79.8)2.6 (2.2, 4.7)Obese13 (17.3)62 (82.7)2.7 (2.5, 5.3)Table 5
Adjusted prevalence ratios for associations between sociodemographic and health related variables and poor physical function among elderly rural Nigerian.
VariablesPhysical disability*as-dependent variable (n=1824)Functional limitationas-dependent variable (n=1824)Age  group60–641.01.065–693.1 (2.2, 3.6)5.2 (3.7, 7.8)70–7414.4 (10.2, 17.6)7.5 (5.4, 11.2)≥7522.2 (14.5, 36.8)10.5 (5.4, 16.4)Female3.6 (1.5, 7.4)9.3 (3.7, 18.3)Self  reported  chronic  medical  condition**Diabetes mellitus6.1 (4.3, 7.1)3.8 (3.1, 5.2)Stroke4.8 (3.7, 7.9)3.6 (2.2, 5.4)Arthritis3.7 (2.6, 4.6)5.2 (3.5, 6.8)Presence  of  depressive-symtomatology**4.2 (3.3, 5.9)6.4 (4.7, 9.2)Presenting  visual  acuityNormal1.01.0Mild-to-moderate visual impairment5.2 (3.4, 7.3)3.8 (2.5, 6.7)Blind6.6 (3.6, 11.9)4.7 (2.2, 10.4)Table5 shows a significant independent associations between physical disability and advanced age, (≥75 years: prevalence ratio (PR) 22.2; 95% CI 14.5–36.8), presence of diabetes (PR 6.1; 95% CI 4.3–7.1), and visual impairment (blindness: PR 6.6; 95% CI 3.6–11.9). The independent variables found to be associated with functional limitation include advanced age, (≥75 years: PR 10.5; 95% CI 5.4–16.4), female gender (PR 9.3; 95% CI 3.7–18.3), presence of arthritis (PR 5.2; 95% CI 3.5–6.8), and having depressive symptomatology (PR 6.4; 95% CI 4.7–9.2).


## 4. Discussion

In contrast to physical disability, functional limitation represents an outcome that is free from external factors or environmental influences. This adds clarity to the understanding of the dynamics of the pathway from disease to disability [27]. The study population was randomly selected from geographically defined rural communities, and a high response rate was recorded. The prevalence rates of physical disability for all the three ADL scales and functional limitations were less than one-third and increased with age. The increase was observed to be higher in elderly women than elderly men and among Kanuris than among Fulanis and Hausas. The increase observed among the ethnic groups was not statistically significant. Advance in age, presence of diabetes, stroke, depressive symptomatology, and visual impairment were independent variables found to be more associated with physical disability. Furthermore, advance in age, female gender, arthritis, and depressive symptomatology were also significantly associated with functional limitation. As previously stated, studies on physical disability among elderly people in Nigeria is very scarce; therefore, comparison of findings in this study with studies elsewhere is limited by definition criteria, differences in the way disability was measured, and sample characteristics. Studies in which the scope of definition of disability was not wide; for example, in which disability is based on any level of difficulty in the performance of daily tasks, the prevalence of disability is expected to be high and probably higher than that from this study. In addition, studies that exclude institutionalized elderly persons, the range of disability will also be different. Institutional care of the elderly is very rare in Nigeria, and this study includes the entire range of functional limitations obtainable in rural population and thus excludes elderly in institutional care. Despite the scenario explained above, the rates of disability and functional limitation are comparable to levels reported among elderly persons in Malaysia [27].Using the 10 items Barthel index, this study revealed that more than one fifth (28.3%) of the elderly aged 60 years and above were dependent in at least one ADL. This finding is similar to that reported by previous studies [27, 28]. However, a study in Singapore [29] found much lower disability prevalence than this study. Comparison with studies in other countries is difficult due to use of different ADL measurements; however, narrowing ADL disability to receiving help for at least one of five ADL items (eating, bathing, dressing, transferring, and toileting) or six ADL items (walking, eating, bathing, dressing, transferring, and toileting) allows reasonable comparison across some studies. Elderly women in this study have more functional disability than elderly men. Also, increase in age was found to be associated with increasing rates of disability. All these variables are often associated with the occurrence of disability as reported in the literature [30]. According to the six-item ADL index, the prevalence of physical disability for people aged 65 in this study was 21.4% (Table 2), which is moderately higher than the United States’ National Long Term Care Survey [11], which is 13% (7.9% when age-standardized to the Nigerian population sample). However, the prevalence of six-item ADL disability among people age 60 years and above in the Caribbean [31], and among people age 75 years and above in Latin America and the Caribbean [23], appears to be similar to the prevalence rates in this study. Using the five-item ADL index, for people aged 65 years and above, the prevalence rates in this study is 15.6%. This appears to be much higher when compared to the findings from developed countries [4], for example 6% in Canada (3.2% when age standardized), 10% in France (5.5% when age standardized), 14% in Italy (7.3% when age standardized), and 11% in Sweden (5.5% when age standardized) [11].Disability prevalence rates in this study appear comparable to rates in other developing countries; for example, among people aged 65 and older, the prevalence of 5 items ADL disability in Malaysia [28] was 16% (14.8% when age standardized) and 10% in Srilanka [32], (14.4% when age standardized). The prevalence of disability among people aged 60 years and above was 12.1%. This is almost similar to 12% in India [33] (9.3% when age standardized) and 11% in Malaysia [26] (10.5% when age standardized). However, the prevalence rate in this study is higher than 8% from Shanghai, China [34]. Differences in criterion definition and sample profile may account for disparity between this finding and that of China. The following may be other possible reasons why Nigerian’s disability prevalence rate is different from those reported from the developed countries: sample for this study was drawn from rural community, high illiteracy level (85%), the low educational levels in elderly cohorts (90.4% had no formal education or low education level), a figure higher than the developed country [35], and the prevailing sociodemographic differences between Nigeria and the wealthy industrialized nations. Since disability in ADL [36] is one of the main reasons for institutionalization in the developed nations, this may be another reason why prevalence of physical disability in elderly people in developed countries is lower compared with this finding.The African tradition, particularly Nigerian tradition, dictates that elderly people should be taken care of by their family members. The institutional care of the elderly is very rare in Nigeria, thus   majority of the elderly people in Nigeria live with their spouse or other family members. Self-report or performance-based measures [4] are useful in assessing functional limitation. However, performance based measurements offers more information, because they help to identify important physical parameters involved in performing daily activity tasks [10]. Comparison of prevalence of functional limitation across studies is difficult due to differences in concept and measurement of functional limitation used. Using the Tinetti performance-oriented mobility assessment tool, the overall prevalence of functional limitation among Nigerian aged 75 years and above was 51.5% (Table 2). This is very close to a previous study [37] that reported 48% but much higher compared with that reported among the Italian [38] aged 75 years and above which was 21%. This study shows a higher prevalence of physical disability and functional limitation among elderly women than elderly men in all age groups and the higher the age the wider the gender difference. Previous studies [39, 40] have also reported higher levels of physical disability and functional limitation in elderly women than elderly men. Cumulative effect of pregnancy and childbearing, poor/lack of education, and poor health care may be responsible for higher physical disability and functional limitation seen in elderly women.Poor or lack of education may be associated with low income and poverty, poor standard of living, unhealthy lifestyle behavior, malnutrition, and less frequent use of health and medical care services [27]. This study showed that more elderly women (80.1%) than elderly men (41.6) had no formal education; this is in conformity with the literature [41] that low socioeconomic status is associated with physical disability. Chronic disease like obesity was found to be commoner in elderly women than elderly men; this finding is similar to Malaysia study [27]. In addition, underweight is higher in elderly men than elderly women, this is also similar to Malaysia study [29]. Sedentary life style among elderly women and carbohydrate as the main food consumption could be the reason for overweight commoner in elderly women than elderly men.In this study, the BMI values (20 to 24.9) associated with optimum physical function coincide with values associated with lowest risk of morbidity similar to previous studies in Chinese populations relating BMI to health outcomes [42, 43] and mobility decline [44]. This observation is not unexpected, given the close inverse relationship between walking speed and health-related outcomes in well-functioning older people [45, 46]. The findings from this study emphasize yet another adverse effect of obesity in the elderly apart from increased risk of various diseases—that of functional limitation. For example, more than one-quarter (28.3%) of the respondents signified interest for assistance in at least one of the 10 ADLs in the Barthel index (Table 2). The request for help for some of the activities of daily living suggests that muscle function may be adversely affected and may partly account for functional limitations. The association between grip strength and appendicular muscle mass emphasizes this point. In obese elderly people, an exercise component must be included in the treatment regimens to maintain or increase lean muscle mass and bone mineral density. Such regimens have been shown to result in a reduction in fat mass without changes in fat-free mass, increase physical performance, and improve quality of life [47].Concerning the effect of ethnicity on prevalence of physical disability, this study showed that Hausas had the highest prevalence of self-reported physical disability followed by Fulanis and Kanuris. The observed differences among the ethnic groups may be attributed to different types of occupations as similarly expressed in a previous study [27]. In other words, hard labour is associated with physical disability due to increased risk of injury. This study revealed that Hausas and Fulanis are more commonly involved in very stressful and laborious manual occupations. Specifically, the Hausas and Fulanis are usually engaged in farming, tree felling, and truck pushing, while the Fulanis are usually engaged in nomadic activities. The Kanuris are mainly engaged in very less strenuous and laborious work. This study showed a significant association between functional limitations and advanced age, female gender, stroke, arthritis, and depressive symptomatology, and it is similar to findings from a previous study [27].Living alone, poor social support, being overweight or underweight, presence of diabetes mellitus, stroke, and visual impairment were not associated with functional limitation. This finding is also similar to previous findings for advanced age [41], female gender [48], presence of arthritis [49] and depressive symptomatology [49, 50] being associated with functional limitation. This study is limited by involving only elderly people in rural community, excluding elders from institutions as well drawing of inferences between health-related variables and physical disability or functional limitation. Other limitations include study design (cross-sectional design), which does not allow determination of direction of causality despite the presence of associations. In addition, the study design does not also include information on duration of disability thus making it difficult to confirm that some of the disabilities were or were not transient in nature. This study, however, has a number of strengths; this is one of the very few studies to assess the prevalence and correlates of performance-based functional limitation among elderly Nigerians. Validated measures of disability that conform with theories of aging were used, for example, in the Nagi model of disablement; functional limitation takes priority before (precedes) disability [51]. This study also revealed that severe malnutrition was associated with disability. Relationship between malnutrition and disability has also been reported by a previous study in rural Malawi, where Chilima and Ismail observed a relationship between undernutrition and handgrip strength, psychomotor speed and coordination, and mobility and ability to carry out activities of daily living independently [52].


## 5. Conclusion

Disability in old age is an important indicator of any community population health, as elderly people usually have more than one illness, and the functional impacts of combined conditions provide a better measure of health than do diagnostic categories. In addition, in developing countries, access to physicians is limited, and most ailments in the elderly are associated with old age. This study has shown that the overall pattern of disability in Nigeria has the relationships similar with studies elsewhere. Of particular note is that physical disability and functional limitation is common in Nigerian elderly. Though the prevalent rates of physical disability and functional limitation is higher than that obtainable in developed countries but similar and comparable to partner developing countries. More importantly, elderly women, especially those with advanced age, chronic diseases, depressive symptomatology, and visual impairments showed greater risk of disability and functional limitation compared with elderly men. This finding is indispensable when considering those to focus for appropriate prevention and intervention strategies like physical exercise, health education, and home visits of high-risk individuals in community-dwelling Nigerians.



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*Source: 369894-2011-06-16.xml*