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Background: Little is known about age-specific target blood pressure (BP) in hypertensive patients with diabetes mellitus (DM). The aim of this study was to determine the BP level at the lowest cardiovascular risk of hypertensive patients with DM according to age., Methods: Using the Korean National Health Insurance Service database, we analyzed patients without cardiovascular disease diagnosed with both hypertension and DM from January 2002 to December 2011. Primary end-point was composite cardiovascular events including cardiovascular death, myocardial infarction and stroke., Results: Of 241,148 study patients, 35,396 had cardiovascular events during a median follow-up period of 10 years. At the age of < 70 years, the risk of cardiovascular events was lower in patients with BP < 120/70 mmHg than in those with BP 130-139/80-89 mmHg. At the age of ≥ 70, however, there were no significant differences in the risk of cardiovascular events between patients with BP 130-139/80-89 mmHg and BP < 120/70 mmHg. The risk of cardiovascular events was similar between patients with BP 130-139/80-89 mmHg and BP 120-129/70-79 mmHg, and it was significantly higher in those with BP ≥ 140/90 mmHg than in those with BP 130-139/80-89 mmHg at all ages., Conclusions: In a cohort of hypertensive patients who had DM but no history of cardiovascular disease, lower BP was associated with lower risk of cardiovascular events especially at the age of < 70. However, low BP < 130-139/80-89 mmHg was not associated with decreased cardiovascular risk, it may be better to keep the BP of 130-139/80-89 mmHg at the age of ≥ 70.

Objective: Home blood pressure (BP) monitoring offers clinically relevant information enriched with more abundant data. However, there are few studies addressing the reliability of home BP devices and the quality of its data. This study aimed to evaluate the current status of home BP devices in terms of validation and accuracy., Participants and Methods: Hypertensive patients with automated upper arm-type BP devices were consecutively enrolled. First, the validation status of each device was assessed through the website. Next, the accuracy of the individual device was evaluated by comparing the mean BP values between the automated device and a mercury sphygmomanometer. Accuracy of the device was defined as having less than a 5 mmHg difference in the mean BP values., Results: A total of 212 individuals were analyzed; 38.7% (82 of 212) of the participants used validated devices and 85.4% (181 of 212) were accurate. Inaccuracy was more common with nonvalidated devices than validated devices [19.2% (n=25) vs. 7.3% (n=6), P=0.017]. The range of inaccuracy of the validated devices was 6-26 mmHg for the systolic BP and 6-11 mmHg for the diastolic BP., Conclusion: The present study showed that nonvalidated devices are used widely in clinical practice and a substantial portion is inaccurate. Therefore, recommendation of validated devices should be the first step. Furthermore, all devices need to be examined for accuracy before use irrespective of their validation status., (Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.)

A community program is an efficient model for improving the management of chronic diseases such as hypertension, diabetes, and dyslipidemia. A specific blood pressure (BP) measurement protocol was developed for community settings in which BP was measured by the interviewer at the interviewee's home. In the 2018 Korean Community Health Survey, BP was measured twice at a five-minute interval after a five-minute resting period at the beginning of the survey. In 2019, BP was measured at the end of the survey after a two-minute rest and was obtained as three measurements at one-minute intervals. As factors related to BP level, stressful stimuli within 30 min before BP measurement such as smoking, caffeine, and/or exercise; duration of rest; and survey year were analysed. The mean age of participants was 55.2 years, and females accounted for 55.4% of the participants (n = 399,838). Stressful stimuli were observed in 21.9% of the participants in 2018 (n = 188,440) and 11.3% in 2019 (n = 211,398). Duration of rest was 0 min (2.1%), two minutes (55.0%), and five minutes (47.9%). When adjusted for age, sex, body mass index, antihypertensive medication, the arm of measurement, survey year (beta= −4.092), stressful stimuli (beta = 0.834), and resting time (beta = −1.296 per one minute of rest) were significant factors for mean systolic BP. A two-minute rest was not a significant factor in mean BP. The differences in adjusted mean systolic BPs were significant for rest times of five minutes vs. two minutes (3.1 mmHg, p < 0.0001), for stressful stimuli (0.8 mmHg, p < 0.0001), and for survey year (127.8 ± 0.2 mmHg vs. 122.2 ± 0.3 mmHg for 2018 vs. 2019, p < 0.0001). For the community-based home visit survey, avoidance of stressful stimuli, five-minute rest, and allocation of BP measurement in the last part of the survey was useful for obtaining a stable BP level. [ABSTRACT FROM AUTHOR]

Background: Physical inactivity is an important but often neglected risk factor for various cardiovascular diseases. We hypothesized that physical inactivity might have deleterious effects on metabolic health in obese and non-obese subjects. Methods: We evaluated the effect of physical activity on the cardiometabolic profiles of a nationwide cohort of non-obese and obese individuals who did not have overt cardiovascular diseases. A total of 3,830 study subjects were divided into two groups based on their body mass index (BMI). Within each BMI group, participants were divided according to their physical activity level. To ascertain their cardiometabolic profiles, we collected data regarding the homeostasis model assessment-estimated insulin resistance (HOMA-IR) index, high-density lipoprotein (HDL)-cholesterol level, systolic blood pressure, heart rate, and high-sensitivity C-reactive protein (hsCRP) level. Results: Physically inactive subjects demonstrated markedly elevated HOMA-IR index and heart rates in each BMI category, even after adjustments for baseline covariates. They also tended to have worse profiles for HDL-cholesterol, systolic blood pressure, and hsCRP levels. A significant elevation in cardiometabolic risk was noted across the four physical activity/obesity groups (p<0.05). HOMA-IR index was largely affected by obesity, but within each BMI category, physical inactivity independently elevated the risk for worsening insulin resistance. In addition, physical inactivity significantly increased the risk of elevated heart rate in both non-obese and obese individuals. Notably, the detrimental effect of physical activity on heart rate was not modified by obesity. Conclusions: Physical activity was associated with favorable cardiometabolic risk profiles with regard to insulin resistance status and heart rate level in both BMI groups. Our results suggest that increasing physical activity could be a helpful strategy for improving the cardiometabolic health in the Korean population, regardless of obesity status. [ABSTRACT FROM AUTHOR]