Dietary Habits, Body Mass Index Status and Blood Pressure of Older adults in the Tano North District of Ghana

Charles Apprey, Gilbert Owiah Sampson*, Helina Gyamea, Yaa Asantweaa Kafui Klu

Published Date: 2021-05-28

Charles Apprey1, Gilbert Owiah Sampson2*, Helina Gyamea1, Yaa Asantweaa Kafui Klu3

1Department of Biochemistry and Biotechnology, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

2University of Education, Winneba, Kumasi, Ghana

3Department of Public Health, Columbia State University, New York, USA

*Corresponding Author:
Gilbert Owiah Sampson Faculty of Vocational Education, University of Education, Winneba, Kumasi, Ghana E-mail: gosampson@uew.edu.gh

Received Date: February 17, 2021; Accepted Date: March 03, 2021; Published Date: March 10, 2021

Citation: Apprey C, Sampson GO, Gyamea H, Klu YAK (2021) Dietary Habits, Body Mass Index Status and Blood Pressure of Older Adults in the Tano North District of Ghana. J Clin Nutr Diet Vol.7 No.4: 4.

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Abstract

Background: Hypertension is a contributing factor of cardiovascular diseases, causing morbidity and mortality around the globe. Poor dietary habit is among the multifactorial cause of hypertension, leading to disease complications. This study investigated dietary habits, anthropometric status and blood pressure levels of older adults at Tano North District in the Bone East Region of Ghana.

Results: Majority of the older adults responded to consuming sugar-sweetened beverages (74.7%) and ate outside home (80.3%), but, less numbers daily or weekly engaged in these practices. The prevalence of obesity, abdominal obesity and high blood pressure among older adults was 10.1%, 34.8% and 46.0% respectively. When age and gender of older adults were adjusted in the correlation analysis model, there was a weak, positive correlation between body mass index and systolic (r=0.240, p=0.001) and diastolic blood pressure (r=0.200, p=0.005). Divorced older adults, participants who did not take sugar sweetened drink (OR: 0.5 95% CI: 0.3-1.0, p=0.050), ate outside home 2-4 times per week (OR: 0.4 95% CI: 0.2-0.9, p=0.033) and chose meals based on health (OR: 0.5 95% CI: 0.2-0.9, p=0.036) were more likely to have normal blood pressure level.

Conclusion: Majority of the older adults in this study were classified as overweight (30.9%) and obese (11.2%) and, 46.0% had uncontrolled blood pressure and poor dietary habit, which increase their risk of hypertension complications and other chronic diseases. There is the need for comprehensive age-appropriate nutrition education among older adults in the communities to develop good dietary habits, so as to manage the condition appropriately and reduce the burden of hypertension complications.

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Introduction

Good nutrition is a modifiable risk factor for some noncommunicable disease prevention, and studies have consistently shown a direct relationship between diet and health status including that of older adults [1]. Diet is a complex entity, and studies have focused on dietary behaviours as an index to measure the impact of diet on health outcomes of selected populations [2]. Nutritional research has largely focused on the effects food components such as fruits and vegetables, whole grains, saturated fatty acids, trans-fatty acids, polyunsaturated fatty acids, omega-3 fatty acids on disease outcomes [3]. However, given that these foods are not consumed in isolation, there has been a gradual movement away from nutrient-based approaches to one that considers dietary behaviour and its associated complexities in relation to non-communicable diseases such as hypertension. Hypertension has become a major contributor to the burden of cardiovascular related morbidity and mortality in the world [4]. Globally, hypertension is defined as systolic blood pressure greater than or equal to 140 mmHg or diastolic blood pressure greater than or equal to 90 mmHg [5]. On the basis of the current scientific evidence, a healthy dietary pattern has the potential of helping an individual to achieve and maintain a healthy anthropometric measurement whiles minimizing the risk of developing Cardio Vascular Diseases (CVDs). According to World Health Organization report, an estimated 1.13 billion people have been diagnosed of hypertension and two-third of these people live in low- and middle-income countries [6]. Report reveals that, of the 17 million cardiovascular related deaths annually, hypertension alone accounts for about 9.4 million of the death tolls and responsible for 7% of total Disability Adjusted Life Years (DALYs) [7].

Over the past four decades, there has been sharp increase in prevalence of hypertension among Ghanaian population, which has significantly contributed to stroke morbidity and mortality [8]. Data from 2014 Ghana Demographic Health Survey which sampled 13,247 participants between 15 and 49 years estimated that, about 13% of the Ghanaian adult population (12.1% for males and 13.4% for females) are living with hypertension [9]. Hypertension could be high in vulnerable population such as the adolescents and this in part is due to the increasing prevalence of childhood obesity as well as growing awareness of this disease, as well elderly people. With current report showing high prevalence of hypertension (9.1%) among 909 adolescents in Kumasi, there is a need to update the baseline data on prevalence of hypertension among elderly people in Ghanaian communities with less health care facilities.

Studies have been conducted towards the reduction and/or stabilization of the incidence of hypertension in most developed countries through various lifestyle interventions [10]. However, there is dearth of information regarding low and middle-income countries with respect to interventions in mitigating hypertension cases [11]. In Ghana for instance, a review on the prevalence of hypertension among the elderly reported about 19.3% and 54.6% in rural and urban settings, respectively [12]. The continuous threat hypertension and other cardiovascular related diseases pose worldwide, especially among the elderly population calls for public health attention and further research to unravel its associated factors amidst those that have been proposed. This research focused on investigating dietary habits, anthropometric status and blood pressure levels of older adults at Tano north district of Ghana.

Methods

Methodology

Study design and population: The study employed a crosssectional study design. The study population was adults above 55 years of age within the Tano North District in the Brong Ahafo Region of Ghana. It has a total population of 91,664. It is bounded to the north east by Ahafo Ano South district, Asutifi district to its south west and north west is Sunyani municipal (Tano North District Annual Report, 2016).

Sampling procedure: A multi-staged sampling technique was adopted in the current study. This involved stratifying the participants into Urban and Rural settings. For all the stages, simple random sampling technique was used in selecting three districts namely; Duayaw Nkwanta, Tanoso and Yamfo district. each district was further stratified into rural and urban. This was to allow fair and equitable distribution and representation of different people from different background and settings. Simple random sampling method was used in entering various houses in the selected places visited. Those found to be eligible were taken through standard protocol of explaining the purpose of the study and seeking their consent voluntarily before commencing the investigations in the presence of community health volunteers. Participants were also given the opportunity to freely opt out in the process of the interviewing if they felt uncomfortable.

Sample size : Using Cochrane’s formula 1989, N=Z2 p (1-p)/d2, sample size was calculated.

N represents sample size

Z=confidence level=95% (Z-score standard value=1.96)

p=Estimated percentage of study population=13.0% [13]

d=marginal error=5%

N=198.

Ethics: Ethical clearance for the study was obtained from the Committee on Human Research Publication and Ethics (CHRPE) of the School of Medical Sciences, KNUST, Kumasi (CHRPE/ AP/480/16). In addition, approval letter was obtained from the Brong Ahafo Regional Health Directorate and the Tano- North Health Directorate before the study was conducted. All participants (198) of this study signed an informed consent form, in accordance to the CHRPE regulations, before conducting the study.

Eligibility criteria: Inclusion and exclusion criteria: The study included healthy population with no serious physical complain, participants aged 55 years and older, and non-hypertensive participants. Older adults with existing cardiovascular disease/ hypertension/stroke/cancer complication and/or less than 55 years of age were excluded from the study.

Body mass index determination: Participants’ height was measured with a portable stadiometer (SECA 213, Germany), according to standard WHO protocol (in centimetres). A weighing scale (model: DT602, India) was also used to measure the weight of participants according to standard protocol, while they were in light clothing (without shoes/footwear), to the nearest 0.1 kg. Body Mass Index (BMI) was calculated as weight/height2 (kg/ m2).

Blood pressure measurement: Blood pressure reading was taken by trained personnel using a digital sphygmomanometer [14]. Measurements were taken from the left upper arm after participants had relaxed for about 5 minutes. Blood pressure readings were taken three times, with at least 2 minutes interval. The average of the three readings was used for the analysis.

Data analysis: SPSS (Statistical Package for the Social Sciences) version 22 (SPSS Inc Chicago, IL) was used for the data analysis. All variables including; dietary habit, socio-demographic data, Body Mass Index (BMI) status and blood pressure level were categorized and presented as absolute and relative frequencies. Chi-square cross tabulation was performed to find differences in relative frequencies of study variables. Binary logistic regression analysis was performed to determine association between study variables and blood pressure. All tests were 2-tailed, and p<0.05 were considered as statistical significance differences.

Results

Socio-demographic characteristics of participants

A total of 198 participants were involved in this study, 62.6% were female and 37.4%, male. Majority of the older adults (38.9%) were in their seventies, most of them were married (54.5%) and lived in peri-urban communities (66.7%). Majority (53.5%) of the participants did not have any formal education and were doing manual/manpower work (70.7%). Marital status (p-value=0.005) and place of stay (p-value=0.014) was significantly related to blood pressure level of participants (Table 1). Chi-square p-value is significant at p<0.05.

Sociodemographic   Blood pressure level (mmHg)    
  Total, N (%) Normal Mild High Chi-square P-value
N=87 N=20 N=91
Gender         4.334 0.114
Male 74 (37.4) 27 (36.5) 11 (14.9) 36 (48.6)    
Female 124 (62.6) 60 (48.4) 9 (7.3) 55 (44.4)    
Age group (years)         9.155 0.165
55-59 41 (20.7) 22 (53.7) 4 (9.8) 15 (36.6)    
60-64 46 (23.2) 17 (37.0) 7 (15.2) 22 (47.8)    
65-69 34 (17.2) 10 (29.4) 2 (5.9) 22 (64.7)    
70 and above 77 (38.9) 38 (49.4) 7 (9.1) 32 (41.6)    
Marital status         18.734 0.005
Single 12 (6.1) 9 (75.0) 2 (16.7) 1 (8.3)    
Married 108 (54.5) 36 (33.3) 11 (10.2) 61 (56.5)    
Divorced 19 (9.6) 7 (36.8) 3 (15.8) 9 (47.4)    
Widowed 59 (29.8) 35 (59.3) 4 (6.8) 20 (33.9)    
Education status         0.134 0.936
No formal education 106 (53.5) 50 (47.2) 8 (7.5) 48 (45.3)    
Basic 78 (39.4) 35 (44.9) 9 (11.5) 34 (43.6)    
Secondary 7 (3.5) 0 (0.0) 2 (28.6) 5 (71.4)    
Tertiary 7 (3.5) 2 (28.6) 1 (14.3) 4 (57.1)    
Occupation         12.01 0.062
Unemployed 19 (9.6) 9 (47.4) 2 (10.5) 8 (42.1)    
Teaching 8 (4.0) 3 (37.5) 3 (37.5) 2 (25.0)    
Trade/Sales 31 (15.7) 10 (32.3) 1 (3.2) 20 (64.5)    
Manpower/manual 140 (70.7) 65 (46.4) 14 (10.0) 61 (43.6)    
Place of stay         8.487 0.014
Rural 66 (33.3) 33 (50.0) 11 (16.7) 22 (33.3)    
Peri-urban 132 (66.7) 54 (40.9) 9 (6.8) 69 (52.3)    

Table 1: Distribution of blood pressure level by socio demographic parameter.

Relationship between dietary habits and blood pressure status of participants

Table 2 presents relationship between dietary habits and blood pressure level of participants. Majority of the participants consumed meals thrice per day (57.1%), took sugar-sweetened drinks (74.7%), ate outside home (80.3%) and chose food pattern based on regular habit (61.6%). Majority of the participants occasionally took sugar-sweetened drinks (50.5%) and ate outside home (42.4%). How often participants took sugar-sweetened beverages (p=0.047) and ate outside home (p=0.017) were significantly related to blood pressure level (Table 2). Chi-square p-value is significant at p<0.05.

Dietary habits   Blood pressure level (mmHg)    
  Total, N (%) Normal Mild High Chi-square P-value
N=87 N=20 N=91
Number of meals daily N=198       1.877 0.758
Once 2 (1.0) 1 (50.0) 0 (0.0) 1 (50.0)    
Twice 83 (41.9) 36 (43.4) 6 (7.2) 41 (49.4)    
Thrice 113 (57.1) 50 (44.2) 14 (12.4) 49 (43.4)    
Take sugar-sweetened       4.078 0.13
Drinks
Yes 148 (74.7) 61 (41.2) 13 (8.8) 74 (50.0)    
No 50 (25.3) 26 (52.0) 7 (14.0) 17 (34.0)    
How often (n-148)         12.78 0.047
Daily 14 (7.1) 6 (42.9) 4 (28.6) 4 (28.6)    
2-4 times weekly 34 (17.2) 13 (38.2) 1 (2.9) 20 (58.8)    
Occasionally 100 (50.5) 42 (42.0) 8 (8.0) 50 (50.0)    
Eat outside home         1.202 0.548
Yes 159 (80.3) 68 (42.8) 15 (9.4) 76 (47.8)    
No 39 (19.7) 19 (48.7) 5 (12.8) 15 (38.5)    
How often (n= 159)         13.482 0.017
Daily 22 (11.1) 10 (45.5) 3 (13.6) 9 (40.9)    
2-4 times weekly 53 (26.8) 13 (24.5) 7 (13.2) 33 (62.3)    
Occasionally 84 (42.4) 46 (54.8) 5 (5.9) 33 (39.3)    
Food choice influence         1.498 0.827
Habit 122 (61.6) 50 (41.0) 13 (10.7) 59 (48.4)    
Health/Sickness 27 (13.6) 12 (44.4) 12 (44.4) 3 (11.2)    
Economical 49 (24.7) 25 (51.0) 4 (8.2) 20 (40.8)    

Table 2: Distribution of blood pressure level by dietary habit of participant.

Anthropometric status and blood pressure levels of participants

Table 3 shows anthropometric status and blood pressure level of participants. Underweight (7.6%), overweight (19.7%), obesity (10.1%) and abdominal obesity (34.8%) was found among the older adults. Majority of the participants had high systolic (48.5%) and diastolic (36.4%) blood pressure. A higher number (46.0%) of the older adults had high blood pressure (Table 3). BMI- Body Mass Index, WC- Waist Circumference, SBP- Systolic Blood Pressure, DBP- Diastolic Blood Pressure, BP- Blood Pressure. [14]. Relationship between anthropometric data and blood pressure level Table 4 presents relationship between anthropometric data and blood pressure level of participants. Chi-square cross tabulation analysis showed no significant relationship between body mass index (P=0.588), Waist Circumference (p=0.431) and blood pressure level. Adjusted correlation analysis showed a weak, positive correlation between body mass index and systolic (r=0.240, p=0.001) and diastolic blood pressure (r=0.200, p=0.005) Adjusted for age, gender, BMI- Body Mass Index, WCWaist Circumference, SBP- Systolic Blood Pressure, DBP- Diastolic Blood Pressure, BP- Blood Pressure, P-value is significant at p<0.05.

Variable Frequency, N= 198 Percentage, % Reference
BMI Kg/m2      
Underweight 15 7.6 <18.5
Normal 124 62.6 18.5-24.9
Overweight 39 19.7 25.0-29.9
Obesity 20 10.1 ≥ 30.0
WC cm      
Normal 129 65.2  
Abdominal obesity 69 34.8 >102 for male, >88 for female
SBP mmHg      
Normal 90 45.5 <120
Mild 12 6.1 120-139
High 96 48.5 ≥ 140
DBP mmHg      
Normal 73 36.9 <80
Mild 53 26.8 80-89
High 72 36.4 ≥ 90
BP level mmHg      
Normal 87 43.9  
Mild 20 10.1  
High 91 46  

Table 3: Anthropometric status and blood pressure level of the participants.

  Chi-square cross tabulation analysis    
Anthropometric Blood pressure level (mmHg)    
  Normal Mild High Chi-square P-value
BMI Kg/m2       4.662 0.588
Underweight 8 (53.3) 1 (6.7) 6 (40.0)    
Normal 57 (46.0) 14 (11.3) 53 (42.7)    
Overweight 17 (43.6) 3 (7.7) 19 (48.7)    
Obesity 5 (25.0) 2 (10.0) 13 (65.0)    
WC cm       1.683 0.431
Normal 53 (41.1) 15 (11.6) 61 (47.3)    
Abdominal obesity 34 (49.3) 5 (7.2) 30 (43.5)    
       
  Partial Correlation analysis, r (p-value)    
Anthropometric variable SBP DBP      
BMI 0.240 (0.001) 0.200 (0.005)      
WC 0.064 (0.371) 0.111 (0.123)      

Table 4: Relationship between anthropometric data and blood pressure level of the participants.

Predictors of normal blood pressure among older adults

Table 5 presents predicting factors of normal blood pressure level among sampled Ghanaian older adults. Participants who were divorced (OR: 0.5 95% CI: 0.2-0.9, p-value 0.027), did not take sugar sweetened drink (OR: 0.5 95% CI: 0.3-1.0, p-value=0.050) often took sugar-sweetened drink 2-4 times per week (OR: 0.3 95% CI: 0.1-0.8, p-value=0.016) and ate outside home for 2-4 times per week (OR: 0.4 95% CI: 0.2-0.9, p-value=0.033), and chose meals based on health (OR: 0.5 95% CI: 0.2-0.9, p-value=0.036) were more likely to have normal blood pressure (Table 5). Unadjusted binary logistic regression analysis, P-value is significant at P<0.05. OR-Odd ratio, 95% CI-Confidence Interval.

Predicting variables Β OR (95% CI Lower-Upper) P-value
Socio demographic   Normal blood pressure  
Gender      
Male   1  
Female -0.7 0.6 (0.3-1.0) 0.056
Age group (years)      
55-59 0.5 1.7 (0.8-3.8) 0.19
60-64 -0.1 0.9 (0.4-1.8) 0.693
65-69 -0.3 0.7 (0.3-1.6) 0.393
70 and above   1  
Marital status      
Single   1  
Married 0.9 2.5 (0.5-12.8) 0.252
Divorced -0.7 0.5 (0.2-0.9) 0.027
Widowed -0.6 0.6 (0.2-1.6) 0.294
Place of stay      
Rural -0.3 0.8 (0.4-1.4) 0.363
Peri-urban   1  
Dietary habits      
Take sugar-sweetened drinks    
Yes   1  
No -0.7 0.5 (0.3-1.0) 0.05
How often      
None      
Daily 0.2 1.2 (0.3-4.3) 0.807
2-4 times weekly -1.1 0.3 (0.1-0.8) 0.016
Occasionally -0.6 0.5 (0.3-1.1) 0.081
Eat outside home      
Yes -0.3 0.7 (0.4-1.5) 0.755
No   1  
How often      
None   1  
Daily -0.1 0.9 (0.3-2.7) 0.913
2-4 times weekly -0.9 0.4 (0.2-0.9) 0.033
Occasionally 0.2 1.2 (0.5-2.6) 0.657
Food choice influence      
Habit      
Health/Sickness reason -0.7 0.5 (0.2-0.9) 0.036
Economical/Financial -0.7 0.5 (0.2-1.2) 0.132
Anthropometric      
BMI Kg/m2      
Underweight   1  
Normal 0.7 2.1 (0.5-8.3) 0.281
Overweight 0.9 2.6 (0.9-6.9) 0.06
Obesity 1.1 3.0 (0.9-9.1) 0.057
WC cm      
Normal   1  
Abdominal obesity -0.4 0.7 (0.4-1.2) 0.195

Table 5: Predictors of normal blood pressure for study participants.

Discussion

In the current study, dietary habits, BMI status and blood pressure levels of older adults at Tano North District in the Bono Ahafo Region of Ghana were assessed. The findings showed regular dietary habits of older adults; which majority consumed three square meals and a snack, which is a healthy way of eating. Although, majority (74.7%) of the older adults responded affirmatively to consuming sugar-sweetened beverages and ate outside home (80.3), less numbers daily or weekly engaged in these practices. The Dietary Approaches to Stop Hypertension (DASH) intervention study conducted by [15] and also the Oxford Fruit and Vegetable study [16] both showed that High Blood Pressure can be minimized using diet rich in fruit, vegetables, reduced-fat dairy products and diets low in saturated fat. With respect to factors that contributed to choose of food intake, 61.6% of the participants stated regular habits as the major factor with 13.6% stating health reason for the choice of food intake. This meant that participants were likely to choose food based on what they are used to rather than the nutrition value of the food. There was however no significant relationship (P>0.05) between dietary habits and blood pressure level of participants in the current study.

The prevalence of overweight, obesity and abdominal obesity among older adults was 19.7%, 10.1% and 34.8%, respectively. A study by [17] found higher prevalence of overweight (30.9%) among older adults, whereas, [18] found lower prevalence of overweight (15.3%). Close to 5 out of 10 older adults (48.5%) in this study had high systolic blood pressure and 36.4% had high diastolic blood pressure. The prevalence of high blood pressure was 46.0% among the older adults; explaining the fact that obesity, abdominal obesity and hypertension is increasingly becoming endemic among the aged population in Ghana, and so needs critical attention by stakeholders to reduce/prevent the menace. Also, a study by [19] among older adults in Sunyani municipality found that, 75.2% had high blood pressure and 11.2% were obese. When age and gender of older adults were adjusted in the correlation analysis model, there was a weak, positive correlation between body mass index and systolic (r=0.240, p=0.001) and diastolic blood pressure (r=0.200, p=0.005). The correlation was weak and if considered, can be interpreted as; increasing body mass index of older adults was associated with increasing systolic and diastolic blood pressure and vice versa.

Findings from regression analysis revealed that participants who were divorced (OR: 0.5 95% CI: 0.2-0.9, p-value 0.027) were at the lowest risk of having normal blood pressure. Participants who did not take sugar sweetened drink (OR: 0.5 95% CI: 0.3-1.0, p-value=0.050) were less likely to have normal blood pressure. However, those who often take sugar-sweetened drink (OR: 0.3 95% CI: 0.1-0.8, p-value=0.016) were the least likely to have normal blood pressure. Older adults who ate outside home for 2-4 times per week (OR: 0.4 95% CI: 0.2-0.9, p-value=0.033) were the least likely to have normal blood pressure and those who chose meals based on health (OR: 0.5 95% CI: 0.2-0.9, p-value=0.036) were the least likely to have normal blood pressure.

Overall, although, majority of the older adults relied on street foods for their daily meals and some took sugar-sweetened meals and chose meals influenced by regular habit, however, a substantial number consumed three meals daily. Obesity, abdominal obesity and high blood pressure were associated among the older adults and these are risk factors of cardiovascular diseases, diabetes and hypertension. The CVDs risk factors predispose older adults to increased risk of developing some of these chronic diseases such as diabetes, hypertension and cardiovascular diseases. Hence, there is a need for nutrition and health policy, intervention and education by stakeholders, targeting the geriatrics in the population, so as to prevent/reduce the risk of chronic diseases.

Conclusion

The study found that consumption of street foods (80.3%) and sugar-sweetened foods (74.7%), eating three meals per day (57.1%) and choosing meals based on regular habit (61.6%) were the dietary habits practiced by majority of the studied older adults. Obesity, abdominal obesity and high blood pressure were associated among the older adults and these are risk factors of cardiovascular diseases, diabetes and hypertension. There is the need for nutrition and health policies, intervention and education programmes to assist geriatrics to improve upon their dietary habits and food choices, as well as prevent/reduce the risk of chronic diseases.

Conflict of Interest

The authors declare no competing interest for this study.

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