Short stature was suggested to be a risk factor for cardiovascular events. Because short stature increases central blood pressure, this study aimed to investigate a longitudinal association between short stature, blood pressure, and incidence of cardiovascular disease by the analysis of insurance-based real-world dataset. We analyzed data from 463,844 adults aged 40 or older with a mean age of 66.7 enrolled in National Health Insurance, excluding individuals who experienced a stroke or myocardial infarction, or required long-term care. Data from annual health checkups were used to obtain baseline clinical information. Comorbidities and incidences of stroke and myocardial infarction were obtained from the insurance data. During a 5.5-year follow-up period, we observed 11,027 cases of stroke. Adults of a short stature exhibited a higher incidence rate in both men (≤155 cm: 99.7, >175 cm: 24.4) and women (≤140 cm: 85.9, >160 cm: 13.7). Although those in the short stature group had higher blood pressure, and often took antihypertensive drugs, the inverse association between height and stroke incidence was independent of these factors (hazard ratio for 5 cm shorter in height; men: 1.06 [1.03-1.09], women: 1.11 [1.06-1.13]). Short stature and blood pressure showed additive association with stoke incidence (log-rank p < 0.001). No significant association was observed with myocardial infarction (men: 1.01 [0.95-1.06], women: 1.06 [0.98-1.14]). In a longitudinal analysis of a large general Japanese population, short stature was linked to an increased risk of stroke in both genders in any blood pressure range.
Keyphrases
- blood pressure
- atrial fibrillation
- health insurance
- hypertensive patients
- growth hormone
- cardiovascular disease
- cardiovascular events
- heart rate
- risk factors
- heart failure
- long term care
- healthcare
- left ventricular
- type diabetes
- electronic health record
- affordable care act
- public health
- coronary artery disease
- cerebral ischemia
- mental health
- physical activity
- pregnant women
- big data
- metabolic syndrome
- blood glucose
- brain injury
- quality improvement
- data analysis
- subarachnoid hemorrhage
- glycemic control
- breast cancer risk