| Literature DB >> 26893185 |
Qinqin Cao1, Pei Pei2, Jun Zhang1, Jillian Naylor3, Xinying Fan1, Biyang Cai1, Qiliang Dai1, Wen Sun1, Ruidong Ye1, Ruifeng Shi1, Keting Liu4, Yongjun Jiang1, Wenhua Liu1, Fang Yang1, Wusheng Zhu1, Yunyun Xiong1, Xinfeng Liu1, Gelin Xu5,6.
Abstract
BACKGROUND: The low rates of hypertension treatment and control, partly due to its unawareness, are the main causes of the high stroke incidence in China. The purpose of this study was to evaluate hypertension unawareness amongst patients with first-ever stroke and to detect factors associated with its unawareness.Entities:
Mesh:
Year: 2016 PMID: 26893185 PMCID: PMC4759941 DOI: 10.1186/s12889-016-2835-1
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Baseline characteristics of stroke patients by hypertension awareness
| Aware ( | Unaware ( |
| |
|---|---|---|---|
| Age, median (IQR) | 62 (54–70) | 60 (50–69) | 1.31 × 10−4 |
| Age ≥ 60 years, n (%) | 1835 (58.5) | 300 (50.6) | 4.14 × 10−4 |
| Male, n (%) | 2186 (69.6) | 412 (69.5) | 0.961 |
| Married, n (%) | 3135 (99.9) | 592 (99.8) | 0.579 |
| BMI, median (IQR) | 24.5 (22.9–26.0) | 24.0 (22.5–25.4) | 3.47 × 10−5 |
| BMI ≥ 25, n (%) | 1242 (39.6) | 198 (33.4) | 0.005 |
| Smoking, n (%) | 1115 (35.5) | 249 (42.0) | 0.003 |
| Alcohol drinking, n (%) | 682 (21.7) | 142 (23.9) | 0.235 |
| Diabetes mellitus, n (%) | 874 (27.8) | 81 (13.7) | 4.34 × 10−14 |
| Hyperlipidaemia, n (%) | 469 (14.9) | 76 (12.8) | 0.205 |
| Heart diseases, n (%) | 345 (11.0) | 32 (5.4) | 1.44 × 10−5 |
| History of TIA, n (%) | 123 (3.9) | 18 (3.0) | 0.348 |
| Lack of health insurance, n (%) | 1564 (49.8) | 326 (55.0) | 0.022 |
| Rural residency, n (%) | 877 (27.9) | 228 (38.4) | 5.23 × 10−7 |
| Lower-level of education, n (%) | 806 (27.3) | 222 (38.0) | 3.35 × 10−7 |
| Manual work, n (%) | 1663 (53.2) | 371 (62.6) | 2.78 × 10−5 |
| Family history of stroke, n (%) | 349 (11.1) | 27 (4.6) | 1.55 × 10−7 |
IQR indicates interquartile ranges, BMI indicates body mass index, TIA indicates transient ischemic attack. Lower-level of education indicates primary school or illiteracy
Factors associated with hypertension unawareness
| Hypertension unawareness | ||
|---|---|---|
| Variables | OR (95 % CI) |
|
| Age ≥60y | 0.69 (0.56 to 0.83) | 0.0002 |
| Male | 0.93 (0.73 to 1.17) | 0.518 |
| BMI ≥ 25 | 0.77 (0.64 to 0.94) | 0.009 |
| Smoking | 1.38 (1.11 to 1.71) | 0.004 |
| Heart diseases | 0.54 (0.37 to 0.80) | 0.002 |
| Diabetes mellitus | 0.44 (0.34 to 0.57) | 2.53 × 10−10 |
| Lack of health insurance | 0.93 (0.75 to 1.15) | 0.489 |
| Rural residency | 1.23 (0.96 to 1.57) | 0.103 |
| Lower-level of education | 1.61 (1.27 to 2.03) | 0.73 × 10−4 |
| Manual work | 1.13 (0.90 to 1.41) | 0.282 |
| Family history of stroke | 0.38 (0.25 to 0.57) | 2.58 × 10−6 |
Parameters were analyzed with multivariate logistic regression analysis. OR indicates odds ratio, CI indicates confidence interval, BMI indicates body mass index
Fig. 1Trends in awareness, treatment, and control of hypertension in stroke patients, 2004–2014. There had been significant increases in hypertension awareness (r = 0.613, P = 0.045 for trends), treatment (r = 0.947, P = 9.89 × 10−6 for trends), and control (r = 0.890, P = 2.39 × 10−4 for trends) in this stroke patient cohort during the 11 years