| Literature DB >> 35085323 |
Taye Kebede1, Zaid Taddese2, Abiot Girma3.
Abstract
BACKGROUND: Hypertension is a devastating global public health challenge; studies indicated that Ethiopia has been affected by the burden of hypertension especially in urban areas. The overall prevalence of hypertension in Ethiopia was estimated to be 19.6% (23.5% in urban and 14.7% in rural population). Along with medical management of hypertension, appropriate lifestyle modification is a crucial and inexpensive means of hypertension control. The main purpose of the study was therefore to assess knowledge, attitude and practice of lifestyle modification among patients on follow up for hypertension treatment at Yekatit 12 General Hospital.Entities:
Mesh:
Year: 2022 PMID: 35085323 PMCID: PMC8794133 DOI: 10.1371/journal.pone.0262780
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
The minimum total sample size calculations for the knowledge, attitude and practices of the hypertensive patients’ lifestyle modifications.
| Variable | Assumption | Total sample size |
|---|---|---|
| Knowledge towards life style modification of HTN patients | P = 0.39(12) Z at 95% (1.96), d = 0.05 | n = 365 |
| Attitude towards life style modification of HTN patients | P = 0.94(12) Z at 95% (1.96), d = 0.03 | n = 240 |
| Practices towards life style modification of HTN patients | P = 0.41(12) Z at 95% (1.96), d = 0.05 | n = 369 |
Socio-demographic characteristics of hypertensive patients on treatment follow up regarding lifestyle modification at Yekatit 12 General hospital in 2019 (n = 387).
| Variable | Frequency | ||
|---|---|---|---|
| Count | % | ||
|
| 18–30 | 40 | 10.3 |
| 31–45 | 117 | 30.2 | |
| 46–60 | 140 | 36.2 | |
| >60 | 90 | 23.3 | |
|
| Male | 207 | 53.5 |
| Female | 180 | 46.5 | |
|
| No formal education | 58 | 15.0 |
| Primary | 72 | 18.6 | |
| Secondary | 128 | 33.1 | |
| College or University | 129 | 33.3 | |
|
| Single | 119 | 30.7 |
| Married | 204 | 32.7 | |
| Divorced | 38 | 9.8 | |
| Widowed | 26 | 6.7 | |
| Are you currently a paid employee? | Yes | 253 | 65.4 |
| No | 134 | 34.6 | |
| If yes, what is your employment status? | Self-employee | 109 | 43.1 |
| Govern employee | 97 | 38.3 | |
| Private comp employee | 47 | 18.6 | |
| What is your monthly income? | < 1500 Birr | 54 | 21.3 |
| 1501–2000 Birr | 33 | 13.1 | |
| > 2001 Birr | 166 | 65.6 | |
Clinical characteristics of hypertensive patients on treatment follow up regarding lifestyle modification at Yekatit 12 General hospital in 2019 (n = 387).
| Variable | Frequency | ||
|---|---|---|---|
| Count | % | ||
| Body Mass Index | Underweight | 20 | 5.2 |
| Normal weight | 268 | 69.3 | |
| Overweight | 82 | 21.2 | |
| Obese | 17 | 4.4 | |
| Blood Pressure level | Normal (<130/90) | 16 | 4.1 |
| Hypertensive (> = 130/90) | 371 | 95.9 | |
| How long has it been since you have been diagnosed with hypertension? | Half-1 year | 112 | 28.9 |
| 1–5 years | 155 | 40.1 | |
| 5–10 years | 83 | 21.4 | |
| > 10 years | 37 | 9.6 | |
Knowledge of hypertensive patients on treatment follow up regarding lifestyle modification at Yekatit 12 General hospital in 2019 (n = 387).
| Variable | Frequency | ||
|---|---|---|---|
| Count | % | ||
| Overall knowledge status | Knowledgeable | 262 | 67.7 |
| Not- knowledgeable | 125 | 32.3 | |
| Dose high blood pressure has any consequence? | Yes | 356 | 92.0 |
| No | 31 | 8.0 | |
| If yes to the above, what do you think are the consequences of high blood pressure? | Heart disease | 146 | 41.0 |
| Renal disease | 100 | 28.1 | |
| Cholesterol | 98 | 27.5 | |
| Diabetes | 12 | 3.4 | |
| Can the consequence of high blood pressure be prevented? | Yes | 334 | 93.8 |
| No | 22 | 6 | |
| Do you think modifying lifestyle can prevent hypertension? | Yes | 368 | 95.1 |
| No | 19 | 4.9 | |
| How much salt should be taken per day to prevent high blood pressure? | None | 122 | 31.5 |
| 1–2 teaspoon | 247 | 63.8 | |
| 2–4 teaspoon | 15 | 3.9 | |
| 4–6 teaspoon | 1 | 0.3 | |
| > 6 teaspoon | 2 | 0.5 | |
| How much fruit and vegetable should be taken per day to prevent high blood pressure? | Yes | 357 | 92.2 |
| No | 30 | 7.8 | |
| Does alcohol affect blood pressure? | Yes | 372 | 96.1 |
| No | 15 | 3.9 | |
| Do you think minimizing alcohol intake will help to control high blood pressure? | Yes | 335 | 91.7 |
| No | 32 | 8.3 | |
| Does smoking affect blood pressure? | Yes | 306 | 79.1 |
| No | 81 | 20.9 | |
| Do you think abstinence from smoking will prevent blood pressure? | Yes | 283 | 73.1 |
| No | 104 | 26.9 | |
| Do you believe exercise can help lower your blood pressure? | Yes | 381 | 98.4 |
| No | 6 | 1.6 | |
| Do you believe stresses will higher blood pressure? | Yes | 377 | 97.4 |
| No | 10 | 2.6 | |
| Do you believe managing stress will have prevented high blood pressure? | Yes | 374 | 96.6 |
| No | 13 | 3.4 | |
Attitude of hypertensive patients on treatment follow up regarding lifestyle modification at Yekatit 12 General hospital in 2019 (n = 387).
| Variable | Frequency | ||
|---|---|---|---|
| Count | % | ||
| HTN is a preventable disease | Strongly agree | 189 | 48.8 |
| Agree | 139 | 35.9 | |
| Some agree | 54 | 14.0 | |
| Disagree | 4 | 1.0 | |
| Strongly disagree | 1 | 0.3 | |
| It is good to avoid extra salt intake | Strongly agree | 196 | 50.6 |
| Agree | 154 | 39.8 | |
| Some agree | 33 | 8.5 | |
| Disagree | 3 | .08 | |
| Strongly disagree | 1 | 0.3 | |
| Good to use extra cooking oil in the daily meal | Strongly agree | 1 | 0.3 |
| Agree | 13 | 3.0 | |
| Some agree | 86 | 22.3 | |
| Disagree | 184 | 47.5 | |
| Strongly disagree | 103 | 26.6 | |
| Good to have whole fruits and vegetables | Strongly agree | 206 | 53.2 |
| Agree | 134 | 34.6 | |
| Some agree | 40 | 10.3 | |
| Disagree | 7 | 1.8 | |
| Strongly disagree | 0 | 0 | |
| BP should be checked regularly | Strongly agree | 217 | 56.1 |
| Agree | 117 | 30.2 | |
| Some agree | 45 | 11.6 | |
| Disagree | 5 | 1.3 | |
| Strongly disagree | 3 | 0.8 | |
| Regular exercise help to prevent HTN | Strongly agree | 237 | 61.2 |
| Agree | 123 | 31.8 | |
| Some agree | 24 | 6.2 | |
| Disagree | 2 | 0.5 | |
| Strongly disagree | 1 | 0.3 | |
| Stopping cigarette and alcoholism help to control HTN | Strongly agree | 214 | 55.3 |
| Agree | 146 | 37.7 | |
| Some agree | 21 | 5.4 | |
| Disagree | 5 | 1.3 | |
| Strongly disagree | 1 | 0.3 | |
| Hypertensive patients should be kept away from stress | Strongly agree | 237 | 61.2 |
| Agree | 123 | 31.8 | |
| Some agree | 24 | 6.2 | |
| Disagree | 2 | 0.5 | |
| Strongly disagree | 1 | 0.3 | |
| Lifestyle modification help to control HTN | Strongly agree | 195 | 50.4 |
| Agree | 153 | 39.5 | |
| Some agree | 32 | 8.3 | |
| Disagree | 6 | 1.6 | |
| Strongly disagree | 1 | 0.3 | |
| Overall attitude status | Favorable | 209 | 54 |
| Unfavourable | 178 | 46 | |
Practices of hypertensive patients on treatment follow up regarding lifestyle modification at Yekatit 12 General hospital in 2019 (n = 387).
| Variable | Frequency | ||
|---|---|---|---|
| Count | % | ||
| Lifestyle modification practices to control hypertension | |||
| Salt reduction | Yes | 346 | 89.4 |
| No | 41 | 10.6 | |
| Moderate alcohol consumption | Yes | 163 | 42.1 |
| No | 224 | 57.9 | |
| Regular exercise | Yes | 170 | 43.9 |
| No | 217 | 56.1 | |
| Avoid smoking | Yes | 107 | 27.6 |
| No | 280 | 72.4 | |
| Managing stress | Yes | 165 | 42.6 |
| No | 22 | 57.4 | |
| Minimizing salt concentration from previously adapted amount | Yes | 373 | 96.4 |
| No | 14 | 3.6 | |
| Average amount of salt intake | < 5g (1 teaspoon) | 318 | 84.6 |
| > 5g (1 teaspoon) | 58 | 15.6 | |
| Make use of fruit and vegetable | Yes | 333 | 86.0 |
| No | 54 | 14.0 | |
| Amount of fruit intake | < 200g (2–3 serving) | 265 | 79.3 |
| > 200g (2–3 serving) | 69 | 20.7 | |
| Amount of vegetable intake | < 400g | 64 | 19.2 |
| > 400g | 270 | 80.8 | |
| Ever practiced any alcohol drinking | Yes | 304 | 78.6 |
| No | 83 | 21.4 | |
| Currently habituated to alcohol drinking | Yes | 222 | 73.0 |
| No | 82 | 27.0 | |
| Any attempt to reduce alcohol after being diagnosed with hypertension | Yes | 197 | 87.9 |
| No | 27 | 12.1 | |
| Any practices of cigarette smoking | Yes | 123 | 31.8 |
| No | 264 | 68.2 | |
| Attempt to reduce cigarette smoking | Yes | 98 | 83.1 |
| No | 20 | 16.9 | |
| Still smoking cigarette | Yes | 58 | 15.0 |
| No | 328 | 85.0 | |
| Ever practiced physical exercises | Yes | 264 | 68.2 |
| No | 123 | 31.8 | |
| For how you do physical exercises? | < 15 min/day | 121 | 45.8 |
| < 30 min/day (< 150 min/week) | 115 | 43.6 | |
| > 30 min/day (> 150 min/week) | 28 | 10.6 | |
| Type of physical exercises accustomed to | Walking | 67 | 63.0 |
| Jogging | 68 | 25.7 | |
| Cycling | 27 | 10.2 | |
| Experiebced any major life event previously | Yes | 176 | 45.5 |
| No | 211 | 54.5 | |
| The major life event experienced | Changing residence | 73 | 41.5 |
| Death of a close family | 90 | 51.1 | |
| Loss of job | 13 | 7.4 | |
| Overall practices | Favourable practices | 150 | 38.8 |
| Unfavourable practices | 237 | 61.2 | |
Fig 1The number of patients who attended health education on salt use in health institutions.
Fig 2The number of patients who attended health education on regular exercises in health institutions.
Factor independently associated with knowledge of hypertensive patients on treatment follow up regarding lifestyle modification at Yekatit 12 General hospital in 2019 (n = 387).
| Variable | Knowledge n (%) | P-value | COR (95%CI) | AOR (95%CI) | ||
|---|---|---|---|---|---|---|
| Good | Poor | |||||
| Age | 18–30 | 29(7.5) | 11(2.8) | 0.258 | 1.60(0.70,3.61) | 0.14(0.03,0.70) |
| 30–45 | 90(23.3) | 27(7.0) | 0.022 | 2.02(1.10,3.71) | 0.33(0.09,1.15) | |
| 46–60 | 87(22.5) | 53(13.7) | 0.990 | 0.99(0.57,1.72) | 0.31(0.09,0.99) | |
| > 60 | 56(14.5) | 34(8.9) | 1 | 1 | ||
| Education | No formal | 30(7.8) | 28(7.2) | 1 | 1 | |
| Primary | 46(11.9) | 26(6.7) | 0.163 | 1.65(0.81,3.34) | 1.32(0.33,5.33) | |
| Secondary | 86(22.2) | 42(10.9) | 0.045 | 1.91(1.01,3.60) | 1.63(0.43,6.19) | |
| College & above | 100(25.8) | 29(7.5) | 0.001 | 3.21(1.66,6.22) | 2.72(0.69,10.7) | |
| Marital status | Single | 86(22.2) | 33(8.5) | 0.012 | 3.04(1.27,7.25) | 0.96(0.44,2.13) |
| Married | 135(34.9) | 69(17.8) | 0.050 | 2.28(1.00,5.20) | 2.71(0.61,11.9) | |
| Divorced | 29(7.5) | 9(2.3) | 0.016 | 3.75(1.28,11.0) | 1.03(0.07,14.0) | |
| Widowed | 12(3.2) | 14(3.6) | 1 | 1 | ||
| Paid employee | Yes | 191(49.4) | 62(16.0) | 0.00 | 2.73(1.75,4.26) | 1.32(0.12,2.33) |
| No | 71(18.3) | 63(16.3) | 1 | 1 | ||
| Employment | Self | 85(33.5) | 24(9.5) | 0.687 | 0.83(0.35,1.97) | 0.92(0.34,2.51) |
| Government | 68(26.9) | 29(11.5) | 0.173 | 0.55(0.23,1.29) | 0.61(0.22,1.67) | |
| Private company | 38(15.0) | 9(3.6) | 1 | 1 | ||
| Income | < 1500 | 36(14.2) | 19(7.5) | 1 | 1 | |
| 1501–2000 | 26(10.3) | 8(3.2) | 0.275 | 1.71(0.65,4.51) | 2.01(0.68,6.51) | |
| > 2001 | 129(50.8) | 38(15.0) | 0.085 | 1.79(0.92,3.47) | 2.39(1.12,5.11) | |
| BMI | Under weight | 12(3.1) | 8(2.1) | 0.666 | 1.33(0.36,4.92) | 2.13(0.34,13.01) |
| Normal wt | 193(49.9) | 75(19.4) | 0.101 | 2.28(0.44,3.582) | 3.24(0.95,11.0) | |
| Over wt | 48(12.4) | 34(8.8) | 0.671 | 1.25(0.44,3.58) | 1.48(0.39,5.51) | |
| Obese | 9 (2.3) | 8(2.1) | 1 | 1 | ||
| Duration on treatment follow up | Half-1year | 81(20.9) | 31(8.0) | 0.001 | 3.83(1.76,8.32) | 4.34(1.26,14.91) |
| 1–5 years | 115(29.7) | 40(10.3) | 0.000 | 4.21(1.99,8.91) | 5.74(1.70,19.34) | |
| 5–10 years | 51(13.2) | 32(8.3) | 0.035 | 2.33(1.06,5.15) | 2.65(0.76,9.139) | |
| > 10 years | 15(3.9) | 22(5.7) | 1 | 1 | ||
Factors independently associated with the attitude of hypertensive patients on treatment follow up regarding lifestyle modification at Yekatit 12 General hospital in 2019 (n = 387).
| Variable | Attitude n (%) | p-value | COR (95%CI) | AOR (95%CI) | ||
|---|---|---|---|---|---|---|
| Favourable | Unfavourable | |||||
| Age | 18–30 | 20(5.2) | 20(5.2) | 1 | 1 | |
| 30–45 | 62(16.0) | 55(14.2) | 0.774 | 1.12(0.55,2.13) | 0.79(0.32,1.95) | |
| 46–60 | 91(23.5) | 49(12.7) | 0.088 | 1.85(0.91,3.77) | 1.12(0.44,2.83) | |
| >60 | 36(9.3) | 54(13.9) | 0.289 | 0.66(0.31,1.41) | 0.79(0.25,2.48) | |
| Marital status | Single | 52(13.4) | 67(17.4) | 1 | 1 | |
| Married | 122(31.5) | 82(21.2) | 0.005 | 1.91(1.21,3.03) | 1.37(0.78,2.40) | |
| Divorced | 24(6.2) | 14(3.6) | 0.039 | 2.20(1.04,4.68) | 2.29(0.84,6.19) | |
| Widowed | 11(2.8) | 15(3.9) | 0.697 | 0.94(0.40,2.22) | 2.11(0.18,24.6) | |
| Paid employee | Yes | 147(38.0) | 106(27.4) | 0.027 | 1.61(1.05,2.45) | 4.32(1.23,10.6) |
| No | 62(16.0) | 72(18.6) | 1 | 1 | ||
| Employments status | Self | 55(21.7) | 54(21.3) | 1 | 1 | |
| Government | 62(24.5) | 35(13.8) | 0.052 | 1.73(0.99,3.04) | 1.73(0.99,3.04) | |
| Private comp | 30(11.9) | 17(6.8) | 0.126 | 1.73(0.85,3.50) | 1.73(0.85,3.50) | |
| Knowledgeable | Yes | 150(38.7) | 112(28.9) | 0.064 | 1.49(0.97,2.29) | 0.97(0.52,1.82) |
| No | 59(15.3) | 66(17.0) | 1 | 1 | ||
Factors independently associated with practices of hypertensive patients on treatment follow up regarding lifestyle modification at Yekatit 12 General hospital in 2019 (n = 387).
| Variable | Practices n (%) | p-value | COR (95%CI) | AOR (95%CI) | ||
|---|---|---|---|---|---|---|
| Good | Poor | |||||
| Age | 18–30 | 25(6.4) | 15(3.9) | 0.000 | 6.66(2.92,15.1) | 7.71(2.4,24.8) |
| 30–45 | 57(14.7) | 60(15.5) | 0.000 | 3.80(2.02,7.17) | 4.00(1.59,10.03) | |
| 46–60 | 50(13.0) | 90(23.2) | 0.012 | 2.22(1.19,4.13) | 3.94(0.8,5.22) | |
| > 60 | 18(4.6) | 72(18.7) | 1 | 1 | ||
| Education | No formal | 13(3.4) | 45(11.6) | 1 | 1 | |
| Primary | 19(4.9) | 53(13.7) | 0.601 | 1.24(1.32,5.47) | 1.57(0.34,7.18) | |
| Secondary | 56(14.5) | 72(18.6) | 0.006 | 2.69(1.32,5.47) | 3.02(0.72,12.7) | |
| College & above | 62(16.0) | 67(17.3) | 0.001 | 3.20(1.57,6.49) | 2.40(0.57,10.1) | |
| Marital status | Single | 58(15.0) | 61(15.8) | 0.004 | 5.23(1.69,16.0) | 2.35(5.23,6.23) |
| Married | 73(18.9) | 131(33.8) | 0.047 | 3.65(1.01,9.23) | 4.56(1.62,5.23) | |
| Divorced | 15(3.9) | 23(6.0) | 0.045 | 3.58(1.02,12.4) | 1.23(3.65,5.32) | |
| Widowed | 4(1.0) | 22(5.6) | 1 | 1 | ||
| Paid employee | Yes | 119(30.7) | 134(34.7) | 0.000 | 2.95(1.84,4.72) | 2.23(5.62,8.56) |
| No | 31(8.0) | 103(26.6) | 1 | 1 | ||
| Employment | Self | 49(19.4) | 60(23.7) | 1 | 1 | |
| Government | 42(16.6) | 55(21.7) | 0.811 | 0.93(0.53,1.62) | 0.82(0.44,1.55) | |
| Private comp | 28(11.0) | 19(7.6) | 0.096 | 1.80(0.90,3.61) | 1.41(0.64,3.08) | |
| Sex | Male | 86(22.2) | 121(31.3) | 0.228 | 1.28(0.85,1.94) | 0.88(0.50,1.53) |
| Female | 64(16.5) | 116(30.0) | 1 | 1 | ||
| Duration on treatment | Half-1year | 47(12.1) | 65(16.8) | 0.030 | 2.62(1.10,6.24) | 1.29(.030,4.67) |
| 1–5 years | 67(17.3) | 88(22.7) | 0.019 | 2.76(1.18,6.42) | 1.18(0.30,4.67) | |
| 5–10 years | 28(7.2) | 55(14.3) | 0.185 | 1.84(0.74,4.56) | 0.86(0.20,3.59) | |
| >10 years | 8(2.1) | 29(7.5) | 1 | 1 | ||
| Knowledge | Knowledgeable | 129(33.3) | 133(34.4) | 0.000 | 4.80(2.83,8.14) | 3.94(2.01,7.72) |
| Not | 21(5.4) | 104(26.9) | 1 | 1 | ||
| Attitude | Favourable | 92(23.8) | 117(30.2) | 0.22 | 1.62(1.07,2.46) | 1.31(0.75,2.03) |
| Unfavourable | 58(15.0) | 120(31.0) | 1 | 1 | ||
Not = not-knowledgeable