What is the optimal interval between successive home blood pressure readings using an automated oscillometric device?
Open accessAbstract
OBJECTIVES: To clarify whether a shorter interval between three successive home blood pressure (HBP) readings (10 s vs. 1 min) taken twice a day gives a better prediction of the average 24-h BP and better patient compliance. DESIGN: We enrolled 56 patients from a hypertension clinic (mean age: 60 +/- 14 years; 54% female patients). The study consisted of three clinic visits, with two 4-week periods of self-monitoring of HBP between them, and a 24-h ambulatory BP monitoring at the second visit. Using a crossover design, with order randomized, the oscillometric HBP device (HEM-5001) could be programmed to take three consecutive readings at either 10-s or 1-min intervals, each of which was done for 4 weeks. Patients were asked to measure three HBP readings in the morning and evening. All the readings were stored in the memory of the monitors. RESULTS: The analyses were performed using the second-third HBP readings. The average systolic BP/diastolic BP for the 10-s and 1-min intervals at home were 136.1 +/- 15.8/77.5 +/- 9.5 and 133.2 +/- 15.5/76.9 +/- 9.3 mmHg (P = 0.001/0.19 for the differences in systolic BP and diastolic BP), respectively. The 1-min BP readings were significantly closer to the average of awake ambulatory BP (131 +/- 14/79 +/- 10 mmHg) than the 10-s interval readings. There was no significant difference in patients' compliance in taking adequate numbers of readings at the different time intervals. CONCLUSION: The 1-min interval between HBP readings gave a closer agreement with the daytime average BP than the 10-s interval.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Cross-sectional studies have mainly focused on the effect of different numbers of readings and days on average HBP, HBP variability and reproducibility; cross-classification according to office and home BP; association with ABPM values; and association with indices of preclinical target-organ damage.
“Cross-sectional studies have mainly focused on the effect of different numbers of readings and days on average HBP, HBP variability and reproducibility; cross-classification according to office and home BP (normotension, white-coat, masked and sustained hypertension); association with ABPM values and association with indices of preclinical target-organ damage [17,18,127–133]”
From Home blood pressure monitoring: methodology, clinical relevance and practical application: a 2021 position paper by the Working Group on Blood Pressure Monitoring and Cardiovascular Variability of the European Society of Hypertension (2021) · cites this paper as [131]
The Results and Conclusion (pages not provided) compare averages from successive home readings and their agreement with ambulatory blood pressure, supporting those parts of the sentence. The paper does not analyze the number of measurement days, classify participants by office and home BP, or assess preclinical target-organ damage; its Introduction mentions reproducibility and target-organ damage as findings of other studies. (LLM, conf=0.86)
Experimental — accuracy not yet measuredOutcome studies in Japan, Greece and Finland with somewhat different HBPM protocols, as well as the IDHOCO database, indicated that the prognostic value of HBPM for cardiovascular disease is increased within the range of 1-7 days, with most benefit achieved in the first 3-4 days.
“Outcome studies in Japan, Greece and Finland with somewhat different HBPM protocols, as well as of the IDHOCO database indicated that the prognostic value of HBPM for cardiovascular disease is increased within the range of 1–7 days, with most of this benefit achieved in the first 3–4 days [131,136–138]”
From Home blood pressure monitoring: methodology, clinical relevance and practical application: a 2021 position paper by the Working Group on Blood Pressure Monitoring and Cardiovascular Variability of the European Society of Hypertension (2021) · cites this paper as [131]
Split into 2 atoms — 0 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 2 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredIn the IDHOCO database (n = 4802), consistency in diagnosing hypertension phenotypes between consecutive monitoring days improved by averaging more HBP measurements, with near perfect agreement after the sixth monitoring day for both office and home BP cross-classification.
“In the International Database on Home blood pressure in relation to Cardiovascular Outcomes (IDHOCO) database (n = 4802), the consistency in diagnosing hypertension phenotypes between consecutive monitoring days was improved by averaging more HBP measurements with near perfect agreement after the sixth monitoring day for both office and home BP cross-classification [131]”
From Home blood pressure monitoring: methodology, clinical relevance and practical application: a 2021 position paper by the Working Group on Blood Pressure Monitoring and Cardiovascular Variability of the European Society of Hypertension (2021) · cites this paper as [131]
Split into 2 atoms — 0 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 2 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 23,433 · see citing works
Pickering, T. G., Hall, J. E., Appel, L. J., Falkner, B. E., Graves, J., Hill, M. N., Jones, D. W., Kurtz, T., Sheps, S. G., & Roccella, E. J. (2005) · Circulation · doi:10.1161/01.cir.0000154900.76284.f6 · Cited by 3,985 · see citing works
Self-citationBobrie, G. (2004) · JAMA · doi:10.1001/jama.291.11.1342 · Cited by 842 · see citing works
Parati, G., Stergiou, G. S., Asmar, R., Bilo, G., de Leeuw, P., Imai, Y., Kario, K., Lurbe, E., Manolis, A., Mengden, T., et al. (2008) · Journal of Hypertension · doi:10.1097/hjh.0b013e328308da66 · Cited by 837 · see citing works
Self-citationOhkubo, T., Imai, Y., Tsuji, I., Nagai, K., Kato, J., Kikuchi, N., Nishiyama, A., Aihara, A., Sekino, M., Kikuya, M., et al. (1998) · Journal of Hypertension · doi:10.1097/00004872-199816070-00010 · Cited by 782 · see citing works
Mancia, G., Facchetti, R., Bombelli, M., Grassi, G., & Sega, R. (2006) · Hypertension · doi:10.1161/01.hyp.0000215363.69793.bb · Cited by 691 · see citing works
Blood Pressure During Normal Daily Activities, Sleep, and Exercise
Pickering, T. G. (1982) · JAMA · doi:10.1001/jama.247.7.992 · Cited by 522 · see citing works
Self-citationRecommendations for the use of home (self) and ambulatory blood pressure monitoring
Pickering, T. G. (1996) · American Journal of Hypertension · doi:10.1016/0895-7061(95)00341-x · Cited by 473 · see citing works
Self-citationPickering, T., Miller, N., Ogedegbe, G., Krakoff, L., Artinian, N., & Goff, D. (2008) · HYPERTENSION · doi:10.1161/hypertensionaha.107.189010 · Cited by 460 · see citing works
Self-citationPickering, T. G., Miller, N. H., Ogedegbe, G., Krakoff, L. R., Artinian, N. T., & Goff, D. (2008) · Hypertension · doi:10.1161/hypertensionaha.107.189011 · Cited by 294 · see citing works
Self-citationStergiou, G. S., Baibas, N. M., Gantzarou, A. P., Skeva, I. I., Kalkana, C. B., Roussias, L. G., & Mountokalakis, T. D. (2002) · American Journal of Hypertension · doi:10.1016/s0895-7061(01)02324-x · Cited by 268 · see citing works
The reproducibility of average ambulatory, home, and clinic pressures.
James, G. D., Pickering, T. G., Yee, L. S., Harshfield, G. A., Riva, S., & LARAGH, J. H. (1988) · Hypertension · doi:10.1161/01.hyp.11.6.545 · Cited by 249 · see citing works
Self-citationPickering, T. G., Miller, N. H., Ogedegbe, G. G., Krakoff, L. R., Artinian, N. T., & Goff, D. C. (2008) · Journal of Clinical Hypertension · doi:10.1111/j.1751-7176.2008.08418.x · Cited by 128 · see citing works
Self-citationReproducibility of Home Blood Pressure Measurements Over a 1-Year Period
Sakuma, M. (1997) · American Journal of Hypertension · doi:10.1016/s0895-7061(97)00117-9 · Cited by 122 · see citing works
Agarwal, R., & Andersen, M. J. (2006) · American Journal of Nephrology · doi:10.1159/000097366 · Cited by 117 · see citing works
Anwar, Y., Giacco, McCabe, E. J., Tendler, B., & White, W. (1998) · PubMed · Cited by 115 · see citing works
Value of Home Blood Pressures as Predictor of Target Organ Damage in Mild Arterial Hypertension
Mulè, G., Caimi, G., Cottone, S., Nardi, E., Andronico, G., Piazza, G., Volpe, V., Federico, M., & Cerasola, G. (2002) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1177/174182670200900208 · Cited by 109 · see citing works
Verberk, W., Kroon, A., Kessels, A., Lenders, J., Thien, T., van Montfrans, G. V., Smit, A., & de Leeuw, P. D. (2006) · Journal of Hypertension · doi:10.1097/01.hjh.0000239289.87141.b6 · Cited by 78 · see citing works
Hypertension Optimal Treatment (HOT) Study
Kjeldsen, S. E., Hedner, T., Jamerson, K., Julius, S., Haley, W. E., Zabalgoitia, M., Butt, A. R., Rahman, S. N., & Hansson, L. (1998) · Hypertension · doi:10.1161/01.hyp.31.4.1014 · Cited by 72 · see citing works
TACHIBANA, R., Tabara, Y., Kondo, I., Miki, T., & Kohara, K. (2004) · Hypertension Research · doi:10.1291/hypres.27.633 · Cited by 58 · see citing works
Home blood pressure normalcy: The Didima study
Stergiou, G. S., Thomopoulou, G., Skeva, I. I., & Mountokalakis, T. D. (2000) · American Journal of Hypertension · doi:10.1016/s0895-7061(99)00266-6 · Cited by 55 · see citing works
Home Blood Pressure: Accuracy is Independent of Monitoring Schedules
Brook, R. D. (2000) · American Journal of Hypertension · doi:10.1016/s0895-7061(99)00273-3 · Cited by 42 · see citing works
Rapid oscillometric blood pressure measurement compared to conventional oscillometric measurement
Yarows, S. A., Patel, K., & Brook, R. D. (2001) · Blood Pressure Monitoring · doi:10.1097/00126097-200106000-00005 · Cited by 29 · see citing works
Cuspidi, C., Michev, I., Meani, S., Salerno, M., Valerio, C., Fusi, V., Bertazzoli, G., Magrini, F., & Zanchetti, A. (2003) · Journal of Hypertension · doi:10.1097/00004872-200308000-00023 · Cited by 22 · see citing works
Peripheral vascular effects on auscultatory blood pressure measurement
Rabbany, S. Y., Drzewiecki, G. M., & Noordergraaf, A. (1993) · The Journal of Clinical Monitoring · doi:10.1007/bf01627631 · Cited by 14 · see citing works
Time interval between pairs of arterial blood pressure measurements—Does it matter?
Koehler, N. R. (2004) · American Journal of Hypertension · doi:10.1016/j.amjhyper.2003.08.013 · Cited by 11 · see citing works
Flagged first, then by citations
1 of the 27 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- [24]James GD Pickering TG Yee LS Harshfield GA Riva S Laragh JH The reproducibility of average ambulatory, home, and clinic pressures Hypertension 1988 11 6 Pt 1 545 549 3384470
Cited by
Sorted by citations
Agarwal, R., Bills, J. E., Hecht, T. J. W., & Light, R. P. (2011) · Hypertension · doi:10.1161/hypertensionaha.110.160911 · Cited by 430 · see citing works
Parati, G., Stergiou, G. S., Bilo, G., Kollias, A., Pengo, M., Ochoa, J. E., Agarwal, R., Asayama, K., Asmar, R., Burnier, M., et al. (2021) · Journal of Hypertension · doi:10.1097/hjh.0000000000002922 · Cited by 178 · see citing works
2010 Guidelines of the Taiwan Society of Cardiology for the Management of Hypertension
Chiang, C., Wang, T., Li, Y.-H., Lin, T., Chien, K., Yeh, H., Shyu, K., Tsai, W.-C., Chao, T.-H., Hwang, J., et al. (2010) · Journal of the Formosan Medical Association · doi:10.1016/s0929-6646(10)60120-9 · Cited by 85 · see citing works
Zheng, Y., Poon, C. C. Y., Yan, B. P., & Lau, J. Y. W. (2016) · Journal of Medical Systems · doi:10.1007/s10916-016-0558-6 · Cited by 82 · see citing works
Advanced Biomedical Engineering
Gargiulo, G. D., & McEwan, A. L. (2011) · InTech eBooks · doi:10.5772/1017 · Cited by 58 · see citing works
Elliott, J. L., & Lal, S. (2016) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph13020172 · Cited by 49 · see citing works
Quezada-Fernández, P., Trujillo, J., Pascoe-González, S., Trujillo-Rangel, W. Á., Cardona‐Müller, D., Ramos-Becerra, C. G., Barocio-Pantoja, M., la Cerda, M. R.-D., Sánchez-Rodríguez, E. N., Cardona-Muñóz, E. G., et al. (2019) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637486.2019.1589430 · Cited by 49 · see citing works
Ciancio, A., Kämpfen, F., Kohler, H., & Kohler, I. V. (2020) · Journal of Health Economics · doi:10.1016/j.jhealeco.2020.102388 · Cited by 36 · see citing works
Myers, M. G. (2013) · Clinical and Experimental Pharmacology and Physiology · doi:10.1111/1440-1681.12149 · Cited by 32 · see citing works
Bleier, N., Mubarik, M. H., Rasheed, F., Aghassi‐Hagmann, J., Tahoori, M. B., & Kumar, R. (2020) · Proceedings - International Symposium on Computer Architecture/Proceedings · doi:10.1109/isca45697.2020.00028 · Cited by 30 · see citing works
Fan, Z., Zhang, G., & Liao, S. (2011) · InTech eBooks · doi:10.5772/22600 · Cited by 27 · see citing works
Association between nondipper pulse rate and measures of cardiac overload: The J‐HOP Study
Oba, Y., Kabutoya, T., Hoshide, S., Eguchi, K., & Kario, K. (2017) · Journal of Clinical Hypertension · doi:10.1111/jch.12975 · Cited by 20 · see citing works
Self-citationLule, S., Kushitor, S., Grijalva-Eternod, C., Adjaye-Gbewonyo, K., Sanuade, O., Kushitor, M., Okoibhole, L. O., Awuah, R., Baatiema, L., Kretchy, I., et al. (2024) · Global Health Action · doi:10.1080/16549716.2023.2297513 · Cited by 18 · see citing works
Shimizu, M., Hoshide, S., Ishikawa, J., Yano, Y., Eguchi, K., & Kario, K. (2014) · American Journal of Hypertension · doi:10.1093/ajh/hpu250 · Cited by 17 · see citing works
Self-citationBleier, N., Lee, C., Rodríguez, F. J., Sou, A., White, S., & Kumar, R. (2022) · Proceedings - International Symposium on Computer Architecture/Proceedings · doi:10.1145/3470496.3527410 · Cited by 16 · see citing works
Shibasaki, S., Hoshide, S., Eguchi, K., Ishikawa, J., Kario, K., & on behalf of the Japan Morning Surge-Home Blood Pressure (J-HOP) Study Group (2015) · American Journal of Hypertension · doi:10.1093/ajh/hpu295 · Cited by 15 · see citing works
Self-citationShimizu, M., Ishikawa, J., Yano, Y., Hoshide, S., Eguchi, K., Ishikawa, S., Shimada, K., & Kario, K. (2012) · Journal of Hypertension · doi:10.1097/hjh.0b013e328351f80b · Cited by 15 · see citing works
Self-citationEguchi, K., Kuruvilla, S., Ishikawa, J., Ogedegbe, G. G., Gerin, W., Schwartz, J. E., & Pickering, T. G. (2011) · Blood Pressure Monitoring · doi:10.1097/mbp.0b013e328346d669 · Cited by 15 · see citing works
Self-citationPrieto-González, P., Sánchez-Infante, J., & Fernández‐Galván, L. M. (2022) · Nutrients · doi:10.3390/nu14173471 · Cited by 14 · see citing works
Juraschek, S. P., Ishak, A. M., Mukamal, K. J., Wood, J. M., Anderson, T. S., Cohen, M. L., Li, J. X., & Cluett, J. (2021) · Hypertension · doi:10.1161/hypertensionaha.121.17876 · Cited by 14 · see citing works
Gambassi, B. B., Rodrigues, B., Almeida, F. D. J. F., Sotão, S. S., Souza, T. M. D. S., Chaves, L. F. C., Sauaia, B. A., Schwingel, P. A., Pulcherio, J. O. B., & Mostarda, C. T. (2016) · Sport Sciences for Health · doi:10.1007/s11332-016-0290-0 · Cited by 13 · see citing works
Doustmohammadian, A., Saeidlou, S. N., Esfandyari, S., Gholizadeh, E., Maadi, M., Motamed, N., Ajdarkosh, H., Khoonsari, M., Clark, C. C. T., & Zamani, F. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.921415 · Cited by 11 · see citing works
Bravo, V. R., Palomba, N., Corletto, F., Willis, R., & Vettorato, E. (2020) · Veterinary Anaesthesia and Analgesia · doi:10.1016/j.vaa.2019.11.009 · Cited by 10 · see citing works
van der Vaart, A., Eelderink, C., van Goor, H., Hillebrands, J., Velde‐Keyzer, C. A. T., Bakker, S. J. L., Pasch, A., van Dijk, P. R., Laverman, G. D., & de Borst, M. H. (2024) · Journal of Internal Medicine · doi:10.1111/joim.13781 · Cited by 10 · see citing works
Cho, S. H. (2010) · Journal of Korean Academy of Nursing · doi:10.4040/jkan.2010.40.5.686 · Cited by 10 · see citing works
Clinical study of a chest‐based cuffless blood pressure monitoring system
Heydari, F., Ebrahim, M. P., Redouté, J., Joe, K., Walker, K., Avolio, A. P., & Yuce, M. R. (2020) · Medical Devices & Sensors · doi:10.1002/mds3.10091 · Cited by 7 · see citing works
Prieto-González, P. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192114498 · Cited by 7 · see citing works
Home Blood Pressure Monitoring: A Few minutes of Rest Before Measurement May Not Be Appropriate
Boivin, J., Boutte, E., Fay, R., Rossignol, P., & Zannad, F. M. (2014) · American Journal of Hypertension · doi:10.1093/ajh/hpu001 · Cited by 7 · see citing works
Effects of measurement intervals on the values of repeated auscultatory blood pressure measurements
Imamura, M., Asayama, K., Sawanoi, Y., Shiga, T., Saito, K., & Ohkubo, T. (2019) · Clinical and Experimental Hypertension · doi:10.1080/10641963.2019.1583243 · Cited by 7 · see citing works
A Novel Wearable Device for Continuous Blood Pressure Monitoring Utilizing Strain Gauge Technology
McMurray, J. P., DeVries, A., Frazee, K., Sizemore, B., Branan, K., Jennings, R., & Coté, G. L. (2025) · Biosensors · doi:10.3390/bios15070413 · Cited by 4 · see citing works
Oba, Y., Hoshide, S., Kabutoya, T., & Kario, K. (2018) · American Journal of Hypertension · doi:10.1093/ajh/hpy102 · Cited by 5 · see citing works
Watanabe, H., Kabutoya, T., Hoshide, S., & Kario, K. (2021) · Journal of Clinical Hypertension · doi:10.1111/jch.14170 · Cited by 4 · see citing works
Chen, M., Chen, A., Si, X., Ji, M., & Zheng, D. (2017) · Scientific Reports · doi:10.1038/srep40545 · Cited by 4 · see citing works
Kawaura, N., Nakashima-Sasaki, R., Doi, H., Uchida, K., Sugawara, T., Saigo, S., Abe, K., Arakawa, K., Tamura, K., Hibi, K., et al. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11216455 · Cited by 3 · see citing works
MULTI-RAT BASED ADAPTIVE QUALITY OF SERVICE (QOS) MANAGEMENT IN WBAN
Irshad, T., Shan, R.-U., Ahmad, R. W., Khalid, A., & Hamid, S. H. A. (2020) · Malaysian Journal of Computer Science · doi:10.22452/mjcs.vol33no4.1 · Cited by 3 · see citing works
Gany, F. M., Narang, B., Kakade, A. C., Wu, M., Hashemi, A., Meraji, N. N., Li, Y., Mehmood, R., Acharya, S., & Leng, J. C. F. (2025) · Journal of General Internal Medicine · doi:10.1007/s11606-025-09559-7 · Cited by 2 · see citing works
Kim, J.-M., Gibbs, B. B., & Whitaker, K. M. (2025) · American Journal of Hypertension · doi:10.1093/ajh/hpaf152 · Cited by 2 · see citing works
Dehghanojamahalleh, S., Gamage, P. T., Ahmed, M., Petersen, C., Matthew, B. P., Hyacinth, K., Weerasinghe, Y., Subasi, E., Subasi, M. M., & Kaya, M. (2025) · BioMedInformatics · doi:10.3390/biomedinformatics5020024 · Cited by 2 · see citing works
Ambulatory Versus Home Versus Clinic Blood Pressure
Eguchi, K., & Kario, K. (2012) · Hypertension · doi:10.1161/hypertensionaha.111.189712 · Cited by 2 · see citing works
Self-citationHome Blood Pressure Monitoring Schedule
Niiranen, T. J., McManus, R. J., Ohkubo, T., & Stergiou, G. S. (2020) · Updates in Hypertension and Cardiovascular Protection · doi:10.1007/978-3-030-23065-4_6 · Cited by 1 · see citing works
Alkhatib, B. M., Al-Shami, I. K., & Agraib, L. M. (2024) · Blood Pressure · doi:10.1080/08037051.2024.2310257 · Cited by 2 · see citing works
Response to Ambulatory Versus Home Versus Clinic Blood Pressure
Hara, A., Ohkubo, T., Kikuya, M., & Imai, Y. (2012) · Hypertension · doi:10.1161/hypertensionaha.111.189787 · Cited by 1 · see citing works
Kaihara, T., Eguchi, K., Hoshide, S., & Kario, K. (2016) · Blood Pressure Monitoring · doi:10.1097/mbp.0000000000000180 · Cited by 1 · see citing works
Self-citationImpact of obesity on blood pressures measured at alternative locations during pregnancy
Lende, M. N., Feustel, P. J., Alafifi, R. L., & Lynch, T. A. (2021) · American Journal of Obstetrics & Gynecology MFM · doi:10.1016/j.ajogmf.2021.100441 · Cited by 1 · see citing works
Maniar, P., Lo, D. F., & Visaria, A. (2020) · Journal of Hypertension · doi:10.1097/hjh.0000000000002499 · Cited by 1 · see citing works
Improving measurement accuracy and feasibility to support long-term blood pressure management
Asayama, K., & Ohkubo, T. (2022) · Hypertension Research · doi:10.1038/s41440-021-00850-8 · Cited by 1 · see citing works
Monitoring Blood Pressure in the Office
Myers, M. G. (2015) · Springer eBooks · doi:10.1007/978-3-319-22771-9_1
A new paradigm for diagnosis hypertension and for titrating antihypertensive medication
Jolobe, O. M. P. (2016) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2016.09.064
A Multi-Wavelength Optical Sensing Framework for Calibration-Free Wearable Blood Pressure Monitoring
Hamid, T., Flores, P., Byun, J., Chen, X., Zhang, H., Quinn, K., & Watson, A. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10890529
Alkhatib, B. M., Al-Shami, I. K., Agraib, L. M., & Shdaifat, A. A. (2025) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-025-01757-x · Cited by 1 · see citing works
Katahira, M., Imai, S., Ono, S., & Moriura, S. (2025) · Blood Pressure Monitoring · doi:10.1097/mbp.0000000000000772
Bustamante-Rodríguez, J. C., Ballena-Caicedo, J., Zuta, J. C. B., & Vera-Ponce, V. J. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1870156
- Authors
- Eguchi, K., Kuruvilla, S., Ogedegbe, G., Gerin, W., Schwartz, J. E., & Pickering, T. G.
- Affiliations
- Jichi Medical University (JP)
- Columbia University Irving Medical Center (US)
- Stony Brook University (US)
- Corresponding author
- Eguchi, Kazuo
- Venue
- Journal of Hypertension
- Published
- 2009-06
- Volume
- 27
- Issue
- 6
- Pages
- 1172-1177
- ISSN
- 0263-6352 (ISSN-L)
- PMC
- PMC2941726
- OpenAlex
- W2079814995
- Cited by
- 53
- References
- 27
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 3 · 2022: 7 · 2021: 4 · 2020: 6 · 2019: 3 · 2018: 1 · 2017: 2 · 2016: 5 · 2015: 2 · 2014: 2 · 2013: 1 · 2012: 3
- FWCI
- 1.95
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Hypertension (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Columbia Academic Commons (Columbia University)
- Funders
- Omron Healthcare
- National Heart, Lung, and Blood Institute (P01 HL47540, R24-HL76857, R24HL076857, P01HL047540)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
- Keywords
- home blood pressure monitoring, oscillometric blood pressure measurement, measurement interval, ambulatory blood pressure monitoring, hypertension, medication adherence, self-monitoring
- MeSH terms
- Aged, Automation, Blood Pressure, Female, Humans, Hypertension, Male, Middle Aged, Oscillometry, Patient Compliance, Time Factors, Cross-Over Studies, Blood Pressure Monitoring, Ambulatory
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
