Theodore Reremoana F, Broadbent Jonathan, Nagin Daniel, Ambler Antony, Hogan Sean, Ramrakha Sandhya, Cutfield Wayne, Williams Michael J A, Harrington HonaLee, Moffitt Terrie E, Caspi Avshalom, Milne Barry, Poulton Richie
From the Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology (R.F.T., S.H., S.R., R.P.), Department of Oral Rehabilitation, Sir John Walsh Research Institute, Faculty of Dentistry (J.B.), Department of Medicine, Dunedin School of Medicine (M.J.A.W.), University of Otago, Dunedin, New Zealand; Heinz School of Public and Policy and Management, Carnegie Mellon University, Pittsburgh, PA (D.N.); Medical Research Council Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, King's College London, London, United Kingdom (A.A., T.E.M., A.C.); Liggins Institute (W.C.) and Centre of Methods and Policy Application in the Social Sciences (B.M.), University of Auckland, Auckland, New Zealand; and Departments of Psychology and Neuroscience (H.L.H., T.E.M., A.C.) and Psychiatry and Behavioral Sciences (H.L.H., T.E.M., A.C.), Duke University, Durham, NC.
Hypertension. 2015 Dec;66(6):1108-15. doi: 10.1161/HYPERTENSIONAHA.115.05831. Epub 2015 Oct 5.
Previous studies examining blood pressure change over time have modeled an average population trajectory. Recent research among older adults suggests there may be subgroups with different blood pressure trajectories. Identifying subgroups at risk of developing adult hypertension early in life can inform effective risk reduction efforts. We sought to identify different systolic blood pressure trajectories from childhood, their correlated risk factors, and early-midlife cardiovascular outcomes. Blood pressure data at ages 7, 11, 18, 26, 32, and 38 years from a longitudinal, representative birth cohort study (n=975) were used to identify 4 distinct trajectory groups via group-based trajectory modeling: normal (21.8%), high-normal (43.3%), prehypertensive (31.6%), and hypertensive (4.2%). The categories refer to blood pressure beginning at the age of 7 years and most recently measured at the age of 38 years. Family history of high blood pressure (odds ratio [OR], 43.23; 95% confidence interval [CI], 5.27-354.65), male sex (OR, 109.48; 95% CI, 26.82-446.96), being first born (OR, 2.5; 95% CI, 1.00-8.69) and low birth weight (OR, 2.79; 95% CI, 2.49-3.09) were associated with hypertensive group membership (compared with the normal group). Higher body mass index and cigarette smoking resulted in increasing blood pressure across trajectories, particularly for the higher blood pressure groups. Prehypertensive and hypertensive trajectory groups had worse cardiovascular outcomes by early midlife. Harmful blood pressure trajectories are identifiable in childhood, associated with both antecedent and modifiable risk factors over time, and predict adult cardiovascular disease risk. Early detection and subsequent targeted prevention and intervention may reduce the lifecourse burden associated with higher blood pressure.
以往研究通过建立平均人群轨迹模型来研究血压随时间的变化。近期针对老年人的研究表明,可能存在具有不同血压轨迹的亚组。识别出在生命早期有患成人高血压风险的亚组,可为有效的风险降低措施提供依据。我们试图识别出从儿童期开始的不同收缩压轨迹、与之相关的风险因素以及中青年期的心血管结局。来自一项纵向代表性出生队列研究(n = 975)的7岁、11岁、18岁、26岁、32岁和38岁时的血压数据,通过基于组的轨迹模型用于识别4个不同的轨迹组:正常组(21.8%)、高正常组(43.3%)、高血压前期组(31.6%)和高血压组(4.2%)。这些类别指的是从7岁开始并在38岁时最近测量的血压。高血压家族史(比值比[OR],43.23;95%置信区间[CI],5.27 - 354.65)、男性(OR,109.48;95% CI,2,6.82 - 446.96)、头胎出生(OR,2.5;95% CI,1.00 - 8.69)和低出生体重(OR,2.79;95% CI,2.49 - 3.09)与高血压组归属相关(与正常组相比)。较高的体重指数和吸烟导致各轨迹组血压升高,尤其是血压较高的组。高血压前期和高血压轨迹组在中青年早期有更差的心血管结局。有害的血压轨迹在儿童期即可识别,与随时间推移的既往和可改变风险因素相关,并可预测成人心血管疾病风险。早期检测以及随后有针对性的预防和干预可能会减轻与高血压相关的生命历程负担。