Nutrition knowledge, dietary patterns and anthropometric indices of older persons in four peri-urban communities in Ga West municipality, Ghana.

BACKGROUND: Older adults are vulnerable to malnutrition due to sociologic, physiologic and anatomical effects of ageing.
OBJECTIVE: To investigate the influence of nutrition knowledge and dietary patterns on nutritional status of community-dwelling ambulatory older adults.
METHODS: This cross-sectional survey involved 120 elderly aged 60-70 years purposively selected from four peri-urban communities in Ga West municipality, Ghana. Nutrition knowledge was assessed using a structured questionnaire and dietary intakes obtained using a standardized food frequency questionnaire. BMI from weight/height measurements was proxy for nutritional status. Data was analyzed descriptively in SPSS. Associations were tested using correlation analyses (-1<r<+1).
RESULTS: 28% had adequate knowledge on geriatric nutrition. Dietary patterns were mostly fair (40%) or poor (53%). Bloating (25%), constipation (18%), appetite loss (12%) and chewing difficulties (11%) affected intakes. Underweight was 10% while 21.7% were overweight or obese (16.6%). Positive insignificant corrections existed between knowledge and nutritional status (r=0.261) and with diet quality (r=0.415). However, strong significant (p=0.027) positive correlation (r=0.699) existed between diet quality and nutritional status.
CONCLUSION: Nutrition knowledge was adequate but dietary intake was poor and a quarter were malnourished. The associations reaffirm that supporting the elderly to make healthy dietary choices and ensuring household food security is crucial to preventing malnutrition.

Introduction

Life expectancy has increased due to advancement in medicine, paramedical sciences and technology1. By 2050, the proportion of the world's population >60 years will double to 22%2. This rapid demographic change will be evident in low and middle-income countries3. In Ghana, between 1960 and 2010, the population of the elderly increased by more than seven-folds with 1,643,381 persons out of the total 24,658,823 Ghanaian population above the age of 60 years. This is projected to increase from 5.3% to 8.9% by 20504. The WHO defines older persons, traditionally called the elderly, as persons who have reached the age of retirement. The elderly are categorized into three age groups: ‘young old’ (60–74); ‘old old’ (75–84); and ‘oldest old’ (≥85 years)5.

Good nutrition is particularly important to older persons because of the physiological changes that occur in the body as one ages. Poor diets contribute to frailty, complicating functional limitations and leading to loss of muscle mass, metabolic abnormalities and diminished immunity6. Adequate diet and optimum nutritional status play a critical role in maintaining immune response of the aged by promoting resistance to infection and other immune-related diseases7. The functional capacity and health of the older person depends on their nutritional status and food security, which are the cornerstone in determining nutritional well-being8,9. However, older persons are most unlikely to eat balanced diets to meet the nutrient needs of their changing physiologic state10, 11. This makes them vulnerable to malnutrition with the associated poor health outcomes.

Globally, malnutrition rates in older persons vary based on the screening tools used, whether the study population is community (free) living or institutionalized as well as the geographic location. Using the Mini Nutritional Assessment tool, the prevalence of malnutrition in Italy was 26% among females and 16.3% in males12. In Iran, 10.3% of the elderly residents in nursing homes were malnourished13. In The Netherlands, Germany and Austria, the prevalence were 18.3%, 20.1% and 22.5% respectively14. In the Lake Victoria Basin in East Africa, 26.4% of the elderly were underweight while 15.3% were overweight/obese15.

In rural Ghana, a 41% underweight and 16.9% overweight/obesity prevalence has been observed among elderly women aged 60 to 92 years16. The overall prevalence of undernutrition among older persons in sub-Saharan Africa varies across countries ranging from 5% in South Africa to 48% in Ghana making Ghana one of the countries in sub-Saharan Africa with a high burden of malnutrition (>40%) among the elderly population 11,16,17. The high prevalence of malnutrition among older persons in Ghana though a worrying trend is not surprising as in the national capital Accra, only 39.1% of the elderly have been found to be food secure18.

Major health problems for which older adults seek care in health facilities in Ghana are hypertension, stroke, diabetes and osteoarthritis19,20. Most of these diseases have underlying nutrition-related causes. Also, due to ongoing nutrition and epidemiological transition in Ghana, wealthy and urban communities are at higher risk of obesity and chronic diseases whereas poor and rural communities are at higher risk of undernutrition, infections as well as chronic diseases20,21. Nutritional intervention programmes such as dietary counseling and nutrient supplements could improve nutritional status22–24. Adequate diets and healthy dietary patterns improve nutritional status10, decreases risk of nutrition-related chronic diseases associated with cognitive decline25, reduce morbidity and mortality and increase longevity26. Nonetheless, dietary intakes of most older persons have been shown to be of poor quality27,28. Also, nutrition knowledge of most older persons is poor29 and usually weakly associated with dietary intakes thereby not translating in optimum nutritional status30.

Studies on malnutrition among the elderly in Ghana have concentrated in urban areas17,18 with few conducted in rural communities16. Due to urbanization with its associated rapid expansion of cities, hitherto rural communities located at peripheries of big cities are transiting into cosmopolitan areas. The elderly are the most affected by increased complexity of communities, hence the need to focus on peri-urban elderly dwellers. This study assessed the level of nutrition knowledge, dietary patterns and food choices, and anthropometric indices of the elderly. The existence of associations among these nutritional status indicators was also tested.

Materials and methods

Study setting

The study was conducted in the Ga West municipality, one of the 16 administrative districts located in the north-western end of the Greater Accra Region, Ghana. The municipality occupies a land area of approximately 300 square kilometres and comprises 219,788 inhabitants. Out of these, 4.3% are above the age of 60 years with females constituting 56%31. The four largest peri-urban communities in the municipality (Pokuase, Amasamnan, Medie and Ofankor) were all part of the study setting. Hitherto, care of the aging population was a collective role shared by the extended family. Now, the nuclear family particularly children are the forefront care providers. Socio-economic, urbanization and demographic transitions have affected dynamics of the traditional family system. Increasingly, the elderly are responsible for carrying out their everyday tasks due to decreasing social support. Although aged care services are becoming common in Ghana, at the time of conducting this study, there were no such facilities in the Ga West municipality.

Study design and target population

The study was a descriptive cross sectional observational household survey. The target population was all “young old” adults age 60 to 70 years. An upper limit of 70 years was set because the study protocol involved recall of dietary intakes as well as the taking of anthropometric measurements. Ability to stand upright and memory accuracy were crucial since anatomical functioning and cognitive have been shown to reduce with advancing age6,32.

Sample size and sampling procedure

In the Ga West municipality, adults aged 60–70 years constitute 2.5% (5,595) of the total municipal population31. With the aid of Cochran's formula33, using the population size of 5,595 at 95% confidence level (5% error margin), 1.96 alpha, 7 and 17% prevalence of undernutrition among the elderly16, this generated a sample size of 109. Allocating 10% for missing and incomplete data, the final sample size recruited was 120. Thirty participants were allocated to each of the four study communities. Inclusion criteria were age limits of 60 and 70 years, ambulatory, ability to stand upright and free will to decide on what to eat. Interviewers were assigned to the north, south, east and west ends of each study community and moved inwards towards the central part. The first house to be visited was determined by a random walk and the zigzag principle followed thereafter. Respondent were primarily purposively selected. Where there was difficulty getting eligible participants, subsequent recruitments were made using the snowball sampling procedure.

Data collection and analyses

A structured questionnaire containing open and closed ended questions was used to collect information on respondents' socio-demographic data, dietary intakes and nutrition knowledge. The questionnaire was translated into Ga and Akan, the two predominate local languages spoken in the study area. Data generated was hand-coded and entered into the SPSS software (version 20) to generate frequency and percentage distributions. Spearman rank-order correlation coefficient (r) statistic was used to measure the strength and direction of association between two ranked variables involving either nutrition knowledge, dietary patterns or nutritional status. These variables were categorized as ordinal data and the monotonic relationship between the permutated variables were determined using −10.5 implied a strong association, r=0.0 implied no association whilst r=1.0 signified a perfect correlation.

Nutrition knowledge

Due to the absence of a validated nutrition knowledge questionnaire suitable for the local context, a nutrition knowledge questionnaire was specifically designed to achieve our objectives. However, it was standardized in accordance with the format of knowledge assessment questionnaires used in similar studies. Issues tackled centered on nutrients; health benefits of food; the diet-disease relationship; fruits and vegetables; water; and physical activity. In the questionnaire were ten nutrition-related thematic sub-sections on a five-point rating scale ranging from strongly agree, agree, neutral, disagree to strongly disagree. For each statement, scores ranging from zero to five were assigned to the appropriate response category. Total knowledge scores were calculated with highest and lowest possible scores of 50 and 10 respectively. Based on the minimum and maximum ranges of the aggregate knowledge scores as well as the mean and median values of the distribution, nutrition knowledge was categorized and rated as good if the aggregate score was from 36–50, satisfactory if the aggregate score was from 20–35 and poor if the aggregate score was less than 20 scores.

Dietary patterns, diversity and quality

A food frequency questionnaire (FFQ) comprising seven major food groups with frequency of consumption categories was used to collect qualitative information on the usual food consumption patterns of participants to determine the diet quality and diversity. The seven major food groups from which meals were prepared on daily basis in Ghana are cereals and grains; roots tubers and plantain; animal products; vegetables; fruits; legumes nuts and oily seeds; and fats and oils. The dietary diversity scores were determined on the basis of adequacy of daily intake of foods from the seven food groups. Diets that included at least one food item from either six or seven of the food groups were rated as adequate; diets that included food items from five out of the seven food groups were rated as fair diets whereas diets that included food items from four or less food groups were rated as poor.

Nutritional status

Standing height and weight was measured using ‘SECA' stadiometre and digital weighing scale to the nearest 0.1 centimetres and 0.1 kilogram respectively. The anthropometric measurements were used to calculate participant's body mass index (BMI) as weight in kilogram divided by height in meters squared. The BMI were classified and interpreted according to WHO age and sex specific guidelines and used as proxy to determine nutritional status: underweight (<18.5 kgm2), normal weight (18.50–24.9 kg/m2), overweight (≥25.0–29.9 kg/m2) and obese (≥30.0 kg/m2)34.

Results

Background characteristics of study respondents

One hundred and twenty participants were recruited comprising 78 females and 42 males. Table 1 shows their socio-demographic characteristics.

Table 1

Socio-demographic characteristics of study participants

Background characteristics	N=120	%
Sex
Females	78	65.0
Males	42	35.0
Age (years)
60 – 65	71	59.2
66 – 70	49	40.8
Educational Level
None	54	45.0
Elementary School	18	15.0
Middle School	26	21.6
Secondary/Technical/Vocational	11	9.2
Tertiary	11	9.2
Religious affiliation
Christian	107	90.0
Others *	13	10.0
Income generating activities engaged in
Trading	53	44.1
Artisanal work †	18	15.0
Farming	11	9.2
None	38	31.7
Source of income for livelihood‡
Money earned from income-generated activities	83	45.0
Money from children	48	34.3
Pension allowance	15	10.7
Financial support from other relations and friends	14	9.1
Person with whom respondent resided
Alone	48	40.0
Spouse	41	34.3
Children	24	20.0
Other family members	7	6.0

Muslims and traditionalists;

dress making, driving, bread baking, carpentry and mason;

multiple responses were obtained

Nearly 60% were aged between 60 and 65 years. Sixty percent had little or no formal education. Ninety percent were Christians while the rest were either Muslims (7%) or traditionalist. Although a third of the participants were not engaged in any income generating activity, they all had subsistence either from a regular job, pension benefits or as financial support from family and friends. Forty percent lived alone, a third with their spouses while the remaining proportion lived with their children and other family members.

Nutrition and health related knowledge of respondents

From ten statements used to assess nutrition knowledge, 38% of the participants believed that it was necessary to drink water only when thirsty. Most (74%) agreed that a healthy diet was one that contained varied foods necessary to meet an individual's nutrient requirements. Thirty percent thought that with advancing age, physical activity should be reduced. Almost half (47.6%) felt that constipation occurred as result of ageing and the use of laxatives was the way out. Almost 90% knew that daily consumption of fruits and vegetables promotes health. Also, 55% thought it was necessary for the elderly to take nutrient supplements routinely to complement their diets. Most (72%) of the participants agreed that nutrition was pivotal in the prevention of diseases and the promotion of health. In relation to intake of protein-rich foods, 33% disagreed that older persons required high quantities of protein for growth and maintenance of body tissues. Seventy percent agreed with the statement that obese people could be malnourished and 75% believed that older persons could skip meals if they lose appetite.

From the aggregate knowledge ratings, 5.8% of the respondents scored below 10, indicating poor nutrition knowledge; 65.8% scored from 20–35, indicating satisfactory nutrition knowledge whereas 28.3% had cumulative score above 35, indicating good nutrition knowledge.

Dietary patterns, diversity and diet quality of respondents

Dietary habits and dietary-related challenges experienced by the respondents are presented in table 2. Half cited hunger as the primary reason for eating and a further 37.5% mentioned health and vitality. Nearly half (47%) prepared their own meals while 46% had their meals prepared by either their wives or children. Over 90% ate two to three times a day with a little over half eating three meals daily. Most (66%) of these meals were usually home-prepared. The most influential factors affecting respondents' food choices were appetite (43.9%) and availability of food (33.3%). More than half of the respondents routinely took supplements in the form of iron and multivitamins tablets and herbal supplements. A quarter (25.8%) avoided foods such as cassava, snails, okra and beans. Although 12% did not complain of any problems associated with eating, the majority contended mainly with stomach bloating (28%), constipation (18%), loss of appetite, difficulty chewing and bitterness in the mouth. Diagnosed dietary-related medical conditions included osteoarthritis, cardiovascular diseases (hypertension & stroke), dental problems, diabetes mellitus and stomach ulcer.

Table 2

Eating habits, well-being and diet quality of participants

Characteristics	N	%
Reasons for eating
Hunger satiety	52	49.2
Health and vitality	45	37.5
Growth and longevity	13	10.8
Person responsible for meal preparation
Respondent	56	46.7
Wife	30	25.0
Children	25	20.8
Other relations	9	7.5
Number of times respondents ate per day
Two times	49	40.8
Three times	63	52.5
Four times	8	6.7
Usual source of meals
Home prepared	79	65.9
Purchased	41	34.1
Factors influencing respondents' food choices
Appetite & hunger	53	43.9
Availability of food	40	33.3
Availability of money	17	13.9
No particular reason	10	8.9
Routine intake of nutrient supplements
Yes	66	55.0
No	54	45.0
Food allergies
Yes *	31	25.8
No	89	74.2
Health problems associated with eating †
Gastrointestinal gas	61	24.7
Constipation	44	17.8
Loss of appetite	28	11.3
Difficulty chewing	26	10.5
Bitterness in the mouth	26	10.5
Diarrhoea	20	8.1
Diagnosed medical conditions†
Osteoarthritis	35	19.0
Visual impairment	35	19.0
Cardiovascular diseases (hypertension & stroke)	30	16.3
Dental problems	24	13.0
Hearing impairment	15	8.2
Diabetes mellitus	13	7.1
Stomach ulcer	13	7.1
Healthy habits‡
Fruit consumption	41	34.2
Physical activity	37	30.8
Unhealthy habits‡
Alcohol consumption	15	12.5
Tobacco smoking	9	7.5
High salt intake	6	5.0
Diet quality¶
Adequate	8	6.7
Fair	48	40.0
Poor	64	53.3

Common allergens allergic cassava, snails, okra, beans and pork.

Data generated from multiple responses.

Habits were indulged in at least three times per week.

Dietary quality was determined based on adequacy of intake of foods from seven food groups daily. Diets that included foods from 6–7 food groups were rated as adequate; diets that included foods from 5 groups were rated as fair whilst diets that included foods from ≤4 groups were rated as poor.

Dietary diversity of the respondents is shown in figure 1. On a daily basis, most frequently consumed foods were tomatoes (97%), onions (95%) and pepper (85%). This was followed by bread (78%), fish (76%); maize (67%), green leafy vegetables (66%) and palm oil (66%). Over half consumed rice (54%), plantain (52%) and cowpeas (48%); whereas approximately 40% consumed cassava (40%), milk (39%) and groundnuts (39%). Apart from oranges that were consumed by half of the respondents on a daily basis, only a quarter ate any other fruits in a day. Respondents' diet quality was determined based on the adequacy of daily intake of foods from the seven food groups. Only 6.7% consumed foods from six or all seven food groups daily and therefore met the criteria for adequate diet. Dietary intake of 40% was rated as fair quality because daily, the diets included foods from five out of the seven food groups. Half (53.3%) consumed poor quality diets as less than five food groups were included in their meals on daily basis.

Figure 1

Daily percentage frequency of consumption of food items from seven food groups

Nutritional status of respondents

The BMI of half (51.7%) of the respondents was normal; 10.0% were underweight; 21.7% were overweight whereas 16.6% were obese.

Correlation between nutrition knowledge, diet quality and nutritional status

Table 3 reveals that the correlation between nutrition knowledge and nutritional status was weak positive (r=0.261) but insignificant (p=0.352). Similarly, there was an insignificant positive correlation (r=0.415) between nutrition knowledge and diet quality (p=0.792). However, a significant (p=0.027) strong positive correlation (r=0.699) was observed between diet quality and nutritional status.

Table 3

Correlation of nutrition knowledge, diet quality and nutritional status

Variable	% (N)	Variable	Correlation*coefficient	P value†
Nutrition knowledge *		BMI levels	0.261	0.352
Good	28.3 (34)
Satisfactory	65.8 (79)
Poor	5.8 (7)
Dietary intakes †		Nutrition knowledge	0.415	0.792
Adequate	6.7 (8)
Fair	40.0 (48)
Poor	53.3 (64)
BMI levels ‡		Dietary intakes	0.699	0.027
Underweight	10.0 (12)
Normal	51.7 (62)
Overweight	21.7 (26)
Obese	16.6 (20)

Derived from responses given to nutrition knowledge-related statements and aggregate scores categorized as: good (36–50); fair (20–35); and poor (<20).

Determined based on adequacy of intake of foods from seven food groups daily. Diets that included foods from 6–7 food groups were rated as adequate; diets that included foods from 5 groups were rated as fair whilst diets that included foods from ≤4 groups were rated as poor.

Body mass index classified as underweight (BMI<18.49), overweight (BMI 25.00–29.9) and obesity (BMI >29.99)

Discussion

Over 90% of participants had satisfactory to good nutrition knowledge. This was contrary to studies in India and Taiwan where nutrition knowledge of urban and rural elderly was mainly unsatisfactory29,35. In China however, almost half of respondents had good knowledge of nutrition and health36. In this study, although respondents' knowledge on daily water intake, constituents of a healthy diet, importance of physical activity and consumption of fruits and vegetables was particularly good, responses on intake of protein-rich foods, causes and remedy for constipation, meal skipping as result loss of appetite, warrant attention. Higher educational level and living in less remote areas are shown to correlate with nutrition knowledge25,29,36. Although the majority of study participants received no formal education, residency in a peri-urban setting might be advantageous due to better access to information and healthcare. It is worth noting that social and health interventions in Ghana targeted at the elderly such as free registration unto the National Health Insurance Scheme and the establishment of geriatric unit at out-patient department of hospitals provide an avenue for improved healthcare delivery through client counselling on healthy lifestyles. This could contribute to the good nutrition knowledge demonstrated by the study participants.

Regarding dietary patterns, apart from vegetables and grains/cereals, fish was the most consumed on daily basis. These three food groups have been found to be the highest contributors of daily meals in several places 10,37,38. Diet quality of more than half of the respondents was poor. Similar results have been found in other studies27,28. A lot of factors affect the quality of diets of older persons and consequently, their nutrition and health status. The positive determinants include education, nutrition knowledge, availability of money, number of daily meals eaten, perceived physical health, and hunger sensation. The negative determinants are living alone, alcohol consumption, dental problems and regular eating outside the home28,39–41. From this study, proportion of respondents without any formal education, no guaranteed source of income, who lived alone, prepared their own meals, ate outside home and drink alcohol were fairly high. Living alone for instance, have been associated with meal skipping, obesity, underweight and unhealthy eating behaviors41. While appetite and hunger sensations decline with age42, increased food preferences affect older person's food choices and hence their dietary patterns. Most (>90%) of the respondents ate two to three times a day with a little over half eating three meals daily. Reduce meal patterns could be attributed to ageing or disease related impairments in appetite, taste sensation, chewing, swallowing, digesting and absorbing nutrients43,44. Contrarily, older persons in Ghana have been shown to skip meals primarily due to lack of money18 whereas daily meal frequency in other studies have been higher45,46. Therefore although nutrition knowledge of a quarter respondents was adequate, with about 60% of the elderly in urban Ghana reportedly food insecure18, food choices will largely depend on food availability and not knowledge on what is appropriate or inappropriate.

Undernutrition prevalence was 10% whereas 38% were overweight/obese. Although this is similar to the 12% underweight documented in Senegal11, it is far less than the 48%11,17 and 41%16 recorded in earlier studies in Ghana. In the Lake Victoria Basin of East Africa, underweight prevalence was 26%15 whereas using the mini-nutritional assessment tool, 28.4% of older persons age 65 to 88 years were malnourished in DR Congo47. Conversely, overweight/obesitylevels were 20%-points higher than the 17% documented by Blankson and Hall in Ghana16. Their studies were conducted among old old’ and ‘oldest old’ rural and institutionalized urban elderly dwellers, known to be at highest risk of undernutrition. After 70 years, some weight loss occurs and is attributed to the aging process itself. The implication of this idiopathic weight loss is higher levels of underweight with advancing age. Waist circumference gives a better indication of adiposity and sarcopenic obesity48 as there is usually some height loss with ageing32. Therefore it could have been a better nutritional status indicator. The global epidemiological transition caused by urbanization, reduced physical activity, low consumption of whole grains, fruits and vegetables and increased intake of fats/oils, sugar-sweetened beverages, is evident in Ghana21,49. The consequent effect is a shift from undernutrition to obesity as seen in this study.

Even though correlations between nutrition knowledge and dietary intakes and between nutrition knowledge and nutritional status were positive, the associations were weak and insignificant. However, a systematic review has reported a significant but weak positive associations between nutrition knowledge and dietary intake30. A plausible explanation for the knowledge not translating into practice in our study might be the physical discomforts that reportedly characterized the feeding of majority of the respondent contributing to meal skipping. Also, lack of regular income influences one's ability to purchase nutritious diversified diets. This aggravates the food insecurity situation observed by Steiner-Asiedu et al among the elderly in Ghana18. Aside appetite and hunger, availability of food and money ranked high in determining respondents' food choices. This buttresses the impact of socioeconomic status and food security on dietary intakes and consequently nutritional status.

Associations between dietary patterns and nutritional status have generally been inconsistent50. From this study, the positive relationship found between nutritional status and diet quality suggests that healthy dietary intakes could contribute to the achievement of optimum nutritional status in older persons as documented in other studies51,52. The key limitation of this study is the use of non-probability sampling procedures in participant selection. It does not allow for generalization of findings to the general population. Findings also provide little evidence of causality because the likelihood of non-random sampling eliminating confounding variables within the study itself is low. Also, participant recruitment is prone to selection bias. This could affect accuracy of the nutritional status estimates and contribute to a distortion in the measure of association. Again, because rigorous socio-economic status indicators (SES) were not employed, it is difficult to establish the relationship between SES, diet quality and nutritional status. Nevertheless, this is one of the few studies conducted among free community-dwelling ambulatory 'young old’ adults resident in peri-urban areas of Ghana. This study has provided new insights not only on the quality of diets consumed but reaffirmed the emergent nutrition and epidemiological transition even among the ageing population in Ghana.

Conclusion

Majority of the respondents had satisfactory to adequate knowledge on nutrition issues as relate to the elderly. However, this knowledge neither translated to improved dietary intakes nor optimum nutritional status. Conversely, adequate dietary intakes correlated positively with nutrition status. Although access to health-promoting information is vital for lifestyle modification, this study has reaffirmed that adequate nutrition knowledge does not necessarily imply an improvement in dietary intakes. To encourage and facilitate healthy dietary habits in older people requires family support, nutrition-sensitive social interventions and safety net for the elderly to ensure household food security.