| Literature DB >> 32351729 |
M D Saju1,2, Komal Preet Allagh3, Lorane Scaria1,2, Shinto Joseph1,2, Jotheeswaran Amuthavalli Thiyagarajan4,5.
Abstract
METHODS: In this prospective family-based cohort study, 573 families were included with a total of 997 participants aged 30 years and above. Baseline interviews were conducted in participant's homes using a combination of self-structured and standardized questionnaire. Blood pressure and plasma glucose were assessed for each participant.Entities:
Year: 2020 PMID: 32351729 PMCID: PMC7178468 DOI: 10.1155/2020/4964835
Source DB: PubMed Journal: Int J Hypertens Impact factor: 2.420
Mean blood pressure in different groups in the SWADES cohort (in mmHg).
| Population subgroups | Mean systolic BP (s.d.) | Mean diastolic BP (s.d.) |
|---|---|---|
| Total population | 132.6 (20.3) | 83.1 (12.3) |
| Normotensive participants | 127.9 (17.9) | 82 (11.8) |
| Hypertensive participants | 141.9 (21.6) | 85.3 (13.0) |
| Previously diagnosed and on treatment | 142.8 (21.3) | 83.1 (11.8) |
| Newly diagnosed hypertensive | 155.5 (14.7) | 100.7 (10.8) |
s.d.: standard deviation.
Characteristics of SWADES cohort participants by prevalence, treatment, awareness, and control of hypertension.
| No. | Overall prevalence of HTN (95% CI) | Newly diagnosed cases (95% CI) | Awareness (95% CI) | Among aware | Among treated | |
|---|---|---|---|---|---|---|
| Treatment (95% CI) | Controlled BP (95% CI) | |||||
| Total | 427 (42.8%) | 94 (9.4%) | 333 (78%) | 201 (60.4%) | 151 (75.1%) | |
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| Male | 365 | 41.4 (36, 46) | 15.3 (12, 19) | 62.9 (55, 71) | 52.6 (42, 63) | 68 (55, 81) |
| Female | 632 | 43.7 (40, 48) | 6 (4, 8) | 86.2 (82, 90) | 63.5 (57, 70) | 77.5 (71, 84) |
|
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| 30–49 | 405 | 24.9 (21, 29) | 9.6 (7, 13) | 61.4 (52, 71) | 29 (17, 41) | 72.2 (49, 95) |
| 50–69 | 451 | 53 (48, 58) | 10.6 (8, 14) | 79.9 (75, 85) | 60.2 (53, 67) | 70.4 (62, 79) |
|
| 141 | 61.7 (54, 70) | 5 (1, 9) | 92 (86, 98) | 85 (77, 93) | 83.8 (75, 93) |
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| Single/widow/divorced/others | 173 | 61.9 (55, 69) | 8.1 (4, 12) | 86.9 (80, 93) | 78.5 (70, 87) | 76.7 (67, 87) |
| Married | 824 | 38.8 (36, 42) | 9.7 (8, 12) | 75 (70, 80) | 53.3 (47, 60) | 74.2 (67, 82) |
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| No formal education | 268 | 58.2 (52, 64) | 7.5 (4, 11) | 87.2 (82, 92) | 69.1 (61, 77) | 80.9 (73, 89) |
| Educated | 729 | 37.2 (34, 41) | 10.2 (8, 12) | 72.7 (67, 78) | 54.3 (47, 61) | 70.1 (61, 79) |
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| Unemployed/retired | 319 | 47 (42, 53) | 5.6 (3, 8) | 88 (83, 93) | 68.9 (61, 77) | 80.2 (72, 89) |
| Paid work | 341 | 33.7 (29, 39) | 15 (11, 19) | 55.7 (46, 65) | 37.5 (25, 50) | 58.3 (37, 80) |
| House wife/husband | 337 | 48.1 (43, 53) | 7.4 (5, 10) | 84.6 (79, 90) | 62.8 (55, 71) | 74.4 (65, 84) |
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| Quartile 1 | 417 | 46.3 (41, 51) | 10.3 (7, 13) | 77.7 (72, 84) | 58 (50, 66) | 70.1 (60, 80) |
| Quartile 2 | 108 | 37 (28, 46) | 9.3 (4, 15) | 75 (61, 89) | 70 (53, 87) | 81 (63, 99) |
| Quartile 3 | 245 | 40.8 (35, 47) | 10.2 (6, 14) | 75 (66, 84) | 54.7 (43, 66) | 75.6 (62, 89) |
| Quartile 4 | 227 | 41.4 (35, 48) | 7.1 (4, 10) | 83 (75, 91) | 66.7 (56, 77) | 80.8 (70, 92) |
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| Nonsmoker | 849 | 42.2 (39, 45) | 7.7 (6, 9) | 81.8 (78, 86) | 60.4 (55, 66) | 76.3 (70, 83) |
| Smoker | 148 | 46.6 (38, 55) | 19.6 (13, 26) | 58 (46, 70) | 60 (44, 76) | 66.7 (46, 87) |
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| Diabetes | 259 | 64.5 (59, 70) | 7.7 (4, 11) | 88 (83, 93) | 72.1 (65, 79) | 73.6 (65, 82) |
| TIA | 106 | 54.7 (45, 64) | 8.5 (3, 14) | 84.5 (75, 94) | 69.4 (56, 83) | 79.4 (65, 94) |
| Heart disease | 104 | 64.4 (55, 74) | 5.8 (1, 10) | 91 (84, 98) | 73.8 (62, 85) | 77.8 (65, 90) |
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| Do vigorous intensity sport | 319 | 32 (27, 37) | 12.9 (9, 17) | 59.8 (50, 69) | 50.8 (38, 64) | 67.7 (50, 85) |
| Do moderate intensity sport | 466 | 45.7 (41, 50) | 9 (6, 12) | 80.3 (75, 86) | 57.3 (50, 65) | 74.5 (66, 83) |
Figure 1Overall prevalence and awareness of hypertension.
Summary of prevalence of hypertension from other studies from Kerala.
| Author & place | Year | Age of participants | Prevalence (%) | Among all hypertensives | |||
|---|---|---|---|---|---|---|---|
| Awareness (%) | Treatment (%) | Control (%) | |||||
| 1. | SWADES | 2018 | ≥30 years | 42.8 | 78 | 47.1 | 35.4 |
| 2. | NFHS-4 Kerala [ | 2015–16 | 15–49 | 13 | 46.3 | 21.5 | 15.4 |
| 3. | NFHS-4 India [ | 2015–16 | 15–49 | 18.1 | 44.7 | 13.3 | 7.9 |
| 4. | Kannur district [ | 2017 | ≥20 years | 48.2 | 38.7 | 94.5 | 47.1 |
| 5. | Malappuram district [ | 2015 | ≥30 years | 32.3 | 54.7 | 54.7 | 18.5 |
| 6. | Thrissur [ | 2011–12 | 25–64 years | 43.3 | 53.6 | n.a. | n.a. |
| 7. | Trivandrum [ | 2009 | >10 years | 47 | 16.8 | 14.9 | n.a. |
| 8. | Thiruvananthapuram [ | 2000 | >60 years | 51.8 | 44.9 | 42.7 | 11.4 |
| 9. | Thiruvananthapuram [ | 1999–2000 | 40–60 years | 54.5 | 38.6 | 28.7 | 8.8 |