| Literature DB >> 28099659 |
Kaio Henrique Correa Massa1, José Leopoldo Ferreira Antunes2, Maria Lúcia Lebrão2, Yeda Aparecida Oliveira Duarte3, Alexandre Dias Porto Chiavegatto2.
Abstract
OBJECTIVE: Analyze the use of antihypertensives among seniors and the association with socioeconomic and behavioral characteristics.Entities:
Mesh:
Substances:
Year: 2016 PMID: 28099659 PMCID: PMC5152823 DOI: 10.1590/S1518-8787.2016050006458
Source DB: PubMed Journal: Rev Saude Publica ISSN: 0034-8910 Impact factor: 2.106
Distribution of seniors according to demographic, socioeconomic, and behavioral characteristics in the segments 2000, 2006, and 2010. São Paulo, SP, Southeastern Brazil.
| Variable | 2000 (n = 2,143)* | 2006 (n = 1,413)* | 2010 (n = 1,344)* | |||
|---|---|---|---|---|---|---|
|
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| n | % | n | % | n | % | |
| Sex | ||||||
| Female | 878 | 41.0 | 540 | 38.2 | 481 | 35.8 |
| Male | 1,265 | 59.0 | 873 | 61.8 | 863 | 64.2 |
| Age (years) | ||||||
| 60-64 | 426 | 19.9 | 298 | 21.1 | 389 | 30.6 |
| 65-69 | 379 | 17.7 | 237 | 16.8 | 194 | 15.3 |
| 70-74 | 336 | 15.7 | 208 | 14.7 | 213 | 16.8 |
| 75-79 | 472 | 22.0 | 232 | 16.4 | 148 | 11.6 |
| 80-84 | 307 | 14.3 | 230 | 16.3 | 150 | 11.8 |
| ≥ 85 | 223 | 10.4 | 208 | 14.7 | 178 | 14.0 |
| Skin color | ||||||
| White | 1,524 | 71.5 | 930 | 65.9 | 781 | 58.7 |
| Brown | 246 | 11.5 | 258 | 18.3 | 387 | 29.1 |
| Black | 86 | 4.0 | 101 | 7.2 | 94 | 7.1 |
| Others | 275 | 12.9 | 122 | 8.6 | 69 | 5.2 |
| Education level (years) | ||||||
| 0 | 502 | 23.6 | 268 | 19.0 | 205 | 15.3 |
| 1-3 | 572 | 26.8 | 392 | 27.8 | 326 | 24.3 |
| 4-7 | 730 | 34.3 | 514 | 36.5 | 496 | 36.9 |
| ≥ 8 | 327 | 15.3 | 235 | 16.7 | 316 | 23.5 |
| Current marital status | ||||||
| With companion | 1,122 | 52.4 | 694 | 48.2 | 664 | 50.0 |
| No companion | 1,020 | 47.6 | 717 | 50.8 | 664 | 50.0 |
| Income (in minimum wages) | ||||||
| < 2 | 1,115 | 54.6 | 709 | 50.2 | 782 | 66.5 |
| ≥ 2 | 928 | 45.4 | 704 | 49.8 | 394 | 33.5 |
| Alcohol intake in the last three months | ||||||
| No | 1,514 | 70.6 | 1,046 | 74.2 | 959 | 71.4 |
| Yes | 629 | 29.4 | 363 | 25.8 | 384 | 28.6 |
| Smoking | ||||||
| Never smoked | 1,155 | 53.9 | 770 | 54.5 | 707 | 52.6 |
| Has smoked | 697 | 32.6 | 486 | 34.4 | 493 | 36.7 |
| Smoking currently | 290 | 13.5 | 157 | 11.1 | 143 | 10.7 |
| BMI | ||||||
| Low weight | 312 | 17.4 | 231 | 17.4 | 126 | 10.4 |
| Adequate weight | 770 | 42.9 | 555 | 41.9 | 431 | 35.6 |
| Overweight | 714 | 39.7 | 537 | 40.6 | 653 | 54.0 |
| Practice of recommended PA (150 min/week) | ||||||
| No | 1,655 | 77.3 | 603 | 42.7 | 822 | 61.2 |
| Yes | 487 | 22.7 | 810 | 57.3 | 522 | 38.8 |
BMI: body mass index; PA: physical activity
* Total number of individuals in the sample.
Distribution of seniors according to use of antihypertensive and combined therapy in the segments 2000, 2006, and 2010. São Paulo, SP, Southeastern Brazil.
| Variable | 2000 (n = 2,143)* | 2006 (n = 1,413)* | 2010 (n = 1,344)* | |||
|---|---|---|---|---|---|---|
|
| ||||||
| n | % | n | % | n | % | |
| Use of antihypertensive | ||||||
| No | 1,099 | 51.3 | 547 | 38.7 | 461 | 34.3 |
| Yes | 1,044 | 48.7 | 866 | 61.3 | 883 | 65.7 |
| Use of combined therapy | ||||||
| No | 314 | 31.1 | 151 | 17.4 | 74 | 8.4 |
| Yes | 730 | 69.9 | 715 | 82.6 | 809 | 91.6 |
| Use of antihypertensive among hypertensive seniors | ||||||
| No | 219 | 19.2 | 116 | 12.8 | 77 | 8.5 |
| Yes | 924 | 80.4 | 788 | 87.2 | 830 | 91.5 |
* Total number of individuals in the sample.
Multilevel logistic regression models for use of antihypertensives according to demographic, socioeconomic, and behavioral characteristics in seniors, analyzed separately for 2000, 2006, and 2010. São Paulo, SP, Southeastern Brazil.
| Variable | 2000 | 2006 | 2010 | |||
|---|---|---|---|---|---|---|
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| 1st Level | OR | 95%CI | OR | 95%CI | OR | 95%CI |
| Sex | ||||||
| Female | 1.72b | 1.39–2.13 | 1.57b | 1.23–2.02 | 1.57a | 1.14–2.15 |
| Age (years) | ||||||
| 65-69 | 1.55a | 1.16–2.08 | 1.24 | 0.87–1.77 | 1.54a | 1.03–2.31 |
| 70-74 | 1.37a | 1.01–1.85 | 2.72b | 1.84–4.02 | 1.97b | 1.32–2.94 |
| 75-79 | 1.69b | 1.27–2.25 | 2.14b | 1.48–3.11 | 2.86b | 1.77–4.63 |
| 80-84 | 1.78b | 1.29–2.45 | 2.25b | 1.54–3.28 | 3.47b | 2.12–5.68 |
| ≥ 85 | 1.53a | 1.07–2.20 | 2.29b | 1.54–3.42 | 2.45b | 1.55–3.88 |
| Skin color | ||||||
| Brown | 1.28 | 0.96–1.70 | 1.44a | 1.06–1.96 | 1.14 | 0.84–1.56 |
| Black | 1.69a | 1.07–2.67 | 2.28b | 1.41–3.68 | 1.77a | 1.01–3.11 |
| Others | 0.90 | 0.69–1.18 | 0.97 | 0.65–1.44 | 0.71 | 0.40–1.27 |
| Education level | ||||||
| 1-3 years | 1.08 | 0.84–1.39 | 1.29 | 0.93–1.81 | 0.77 | 0.50–1.19 |
| 4-7 years | 0.95 | 0.74–1.22 | 1.32 | 0.95–1.83 | 0.95 | 0.62–1.46 |
| ≥ 8 | 0.91 | 0.66–1.26 | 1.18 | 0.79–1.76 | 0.83 | 0.51–1.37 |
| Current marital status | ||||||
| No companion | 0.83 | 0.68–1.02 | 0.78 | 0.60–1.01 | 0.70a | 0.51–0.95 |
| Income (in minimum wages) | ||||||
| ≥ 2 | 1.01 | 0.82–1.23 | 1.14 | 0.90–1.46 | 0.89 | 0.65–1.22 |
| Alcohol intake in the last three months | ||||||
| Yes | 0.71a | 0.56–0.90 | 0.82 | 0.61–1.09 | 0.71a | 0.52–0.97 |
| Smoking | ||||||
| Has smoked | 1.40a | 1.08–1.80 | 1.52a | 1.13–2.04 | 1.41a | 1.07–2.03 |
| Smoking currently | 0.78 | 0.56–1.09 | 0.68 | 0.45 –1.02 | 0.74 | 0.47–1.16 |
| BMI | ||||||
| Adequate weight | 1.37a | 1.02–1.83 | 1.29 | 0.93–1.81 | 1.06 | 0.67–1.69 |
| Overweight | 2.76b | 2.03–3.76 | 2.34b | 1.64–3.33 | 2.16b | 1.35–3.44 |
| Practice of recommended PA (150 min/week) | ||||||
| Yes | 0.85 | 0.67–1.09 | 0.59b | 0.46–0.78 | 0.82 | 0.62–1.10 |
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| BIC | 2,383.63 | 1,760.57 | 1,375.13 | |||
BMI: body mass index; PA: physical activity; BIC: Bayesian information criterion
a p < 0.05.
b p ≤ 0.001.
Multilevel logistic models for use of antihypertensive according to demographic, socioeconomic, behavioral characteristics among seniors, aggregate analysis for 2000, 2006, and 2010. São Paulo, SP, Southeastern Brazil.
| Variable | Empty Model (n = 4,899) | Model 1 (n = 4,899) | Model 2 (n = 4,899) | |||
|---|---|---|---|---|---|---|
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| 1st Level | OR | 95%CI | OR | 95%CI | OR | 95%CI |
| Intercept | 1.33b | 1.23–1.43 | 0.34b | 0.24–0.48 | 0.28b | 0.20–0.41 |
| Sex | ||||||
| Female | 1.56b | 1.31–1.86 | 1.60b | 1.35–1.92 | ||
| Age (years) | ||||||
| 65-69 | 1.43b | 1.16–1.78 | 1.43b | 1.15–1.77 | ||
| 70-74 | 1.85b | 1.48–2.31 | 1.80b | 1.44–2.25 | ||
| 75-79 | 1.97b | 1.57–2.47 | 1.97b | 1.58–2.47 | ||
| 80-84 | 2.40b | 1.87–3.06 | 2.24b | 1.75–2.87 | ||
| ≥ 85 | 2.51b | 1.91–3.31 | 2.17b | 1.65–2.86 | ||
| Skin color | ||||||
| Brown | 1.36b | 1.13–1.64 | 1.22a | 1.01–1.47 | ||
| Black | 2.02b | 1.49–2.73 | 1.85b | 1.36–2.51 | ||
| Others | 0.81 | 0.65–1.02 | 0.88 | 0.70–1.10 | ||
| Education level (years) | ||||||
| 1-3 | 1.15 | 0.94–1.40 | 1.09 | 0.89–1.33 | ||
| 4-7 | 1.22a | 1.01–1.49 | 1.11 | 0.91–1.36 | ||
| ≥ 8 | 1.14 | 0.89–1.46 | 0.97 | 0.75–1.25 | ||
| Current marital status | ||||||
| No companion | 0.83a | 0.72–0.97 | 0.81a | 0.70–0.95 | ||
| Income (in minimum wages) | ||||||
| ≥ 2 | 0.93 | 0.80–1.08 | 0.97 | 0.83–1.13 | ||
| Alcohol intake in the last three months | ||||||
| Yes | 0.70b | 0.60–0.82 | 0.72b | 0.62–0.84 | ||
| Smoking | ||||||
| Has smoked | 1.54b | 1.31–1.82 | 1.51b | 1.27–1.78 | ||
| Smokes currently | 0.75b | 0.60–0.94 | 0.75a | 0.60–0.94 | ||
| BMI | ||||||
| Adequate weight | 1.34a | 1.10–1.63 | 1.32a | 1.08–1.60 | ||
| Overweight | 2.69b | 2.19–3.30 | 2.57b | 2.09–3.16 | ||
| Practice of recommended PA (150 min/week) | ||||||
| Yes | 0.89 | 0.77–1.02 | 0.74b | 0.63–0.86 | ||
| Year | ||||||
| 2006 | 1.90b | 1.60–2.24 | ||||
| 2010 | 1.94b | 1.62–2.33 | ||||
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| BIC | 6,708.26 | 5,313.15 | 5,252.98 | |||
BMI: body mass index; PA: physical activity; BIC: Bayesian information criterion
a p < 0.05.
b p ≤ 0.001.