Time-varying association between body mass index and all-cause mortality in patients with hypertension
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ABSTRACT BACKGROUND Relationship between BMI and all-cause mortality in patients with hypertension remains controversial. This study aimed to evaluate the time-varying association between
BMI in patients with hypertension and all-cause mortality. METHODS This population-based cohort study included 212,394 Chinese adults with hypertension from 2007 to 2015 and was followed up
until death, loss-to-follow-up, or December 31, 2018. According to the World Health Organization criteria for Asians, BMI was categorized into five groups: underweight (BMI < 18.5 kg/m2),
normal weight (18.5–22.9 kg/m2), overweight (23–24.9 kg/m2), class I obesity (25–29.9 kg/m2) and class II obesity (BMI ≥ 30 kg/m2). Cox model was used to estimate the time-varying
association of BMI on the risk of mortality by including the interaction term between BMI and time using restricted cubic spline. RESULTS Compared with normal weight, underweight and class
II obesity were associated with higher mortality (Hazard ratio [HRs] at 1 and 10 years of follow-up: 1.51 [95% CI: 1.39–1.65], and 1.27 (1.15–1.41) for underweight, respectively; 1.08
(0.96–1.21), and 1.16 (1.03–1.30) for class II obesity, respectively). However, overweight and class I obesity were associated with lower mortality, although the protective effects gradually
attenuated over time (HRs at 1 and 10 years of follow-up: 0.85 (0.81–0.90), and 0.96 (0.91–1.02) for overweight, respectively; 0.80 (0.76–0.84), and 1.04 (0.99–1.10) for class I obesity,
respectively). CONCLUSIONS We found increased mortality among hypertensive patients with underweight and class II obesity while decreased mortality with overweight and class I obesity was
observed during the first 5 years of follow-up. Management efforts for hypertension may target controlling body weight in a reasonable range for patients, and probably more attention should
be given to underweight patients. Access through your institution Buy or subscribe This is a preview of subscription content, access via your institution ACCESS OPTIONS Access through your
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our FAQs * Contact customer support SIMILAR CONTENT BEING VIEWED BY OTHERS BLOOD PRESSURE CATEGORIES DEFINED BY THE 2017 ACC/AHA GUIDELINE AND ALL-CAUSE MORTALITY: A NATIONAL COHORT STUDY IN
CHINA AND META-ANALYSIS Article 15 February 2021 IMPACT OF UNDERWEIGHT ON 3-YEAR ALL-CAUSE MORTALITY IN PATIENTS WITH ACUTE SEVERE HYPERTENSION: A RETROSPECTIVE COHORT STUDY Article Open
access 21 March 2022 THE RELATIONSHIP BETWEEN THE TRIGLYCERIDE-GLUCOSE (TYG) INDEX AND ALL-CAUSE MORTALITY IN ICU PATIENTS WITH PRIMARY HYPERTENSION: A RETROSPECTIVE STUDY Article Open
access 09 April 2025 DATA AVAILABILITY The datasets generated and analyzed in the study are not publicly available but are available from the corresponding authors on reasonable request.
REFERENCES * Collaborators GCoD. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the
Global Burden of Disease Study 2017. Lancet. 2018;392:1736–88. Article Google Scholar * Collaborators GRF. Global, regional, and national comparative risk assessment of 84 behavioural,
environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.
Lancet. 2018;392:1923–94. Article Google Scholar * Chow CK, Gupta R. Blood pressure control: a challenge to global health systems. Lancet. 2019;394:613–5. Article PubMed Google Scholar
* NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based
measurement studies in 128·9 million children, adolescents, and adults. Lancet 2017;390:2627–42. * Hossain FB, Adhikary G, Chowdhury AB, Shawon MSR. Association between body mass index (BMI)
and hypertension in south Asian population: evidence from nationally-representative surveys. Clin Hypertens. 2019;25:28. Article PubMed PubMed Central Google Scholar * Shihab HM, Meoni
LA, Chu AY, Wang NY, Ford DE, Liang KY, et al. Body mass index and risk of incident hypertension over the life course: the Johns Hopkins Precursors Study. Circulation. 2012;126:2983–9.
Article PubMed PubMed Central Google Scholar * Adams KF, Schatzkin A, Harris TB, Kipnis V, Mouw T, Ballard-Barbash R, et al. Overweight, obesity, and mortality in a large prospective
cohort of persons 50 to 71 years old. N Engl J Med. 2006;355:763–78. Article CAS PubMed Google Scholar * Zheng W, McLerran DF, Rolland B, Zhang X, Inoue M, Matsuo K, et al. Association
between body-mass index and risk of death in more than 1 million Asians. N Engl J Med. 2011;364:719–29. Article CAS PubMed PubMed Central Google Scholar * Bastien M, Poirier P, Lemieux
I, Després JP. Overview of epidemiology and contribution of obesity to cardiovascular disease. Prog Cardiovasc Dis. 2014;56:369–81. Article PubMed Google Scholar * Renehan AG, Tyson M,
Egger M, Heller RF, Zwahlen M. Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies. Lancet. 2008;371:569–78. Article PubMed
Google Scholar * Landi F, Calvani R, Picca A, Tosato M, Martone AM, Ortolani E, et al. Body Mass Index is Strongly Associated with Hypertension: Results from the Longevity Check-up 7+.
Study. Nutrients. 2018;10:1976. Article PubMed Central Google Scholar * Linderman GC, Lu J, Lu Y, Sun X, Xu W, Nasir K, et al. Association of Body Mass Index With Blood Pressure Among 1.7
Million Chinese Adults. JAMA Netw Open. 2018;1:e181271. Article PubMed PubMed Central Google Scholar * Booth HP, Prevost AT, Gulliford MC. Severity of obesity and management of
hypertension, hypercholesterolaemia and smoking in primary care: population-based cohort study. J Hum Hypertens. 2016;30:40–5. Article CAS PubMed Google Scholar * Aune D, Sen A, Prasad
M, Norat T, Janszky I, Tonstad S, et al. BMI and all cause mortality: systematic review and non-linear dose-response meta-analysis of 230 cohort studies with 3.74 million deaths among 30.3
million participants. Bmj. 2016;353:i2156. Article PubMed PubMed Central Google Scholar * Mancia G, Fagard R, Narkiewicz K, Redón J, Zanchetti A, Böhm M, et al. ESH/ESC Guidelines for
the management of arterial hypertension: the Task Force for the management of arterial hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology
(ESC). J Hypertens 2013. 2013;31:1281–357. CAS Google Scholar * James PA, Oparil S, Carter BL, Cushman WC, Dennison-Himmelfarb C, Handler J, et al. Evidence-Based Guideline for the
Management of High Blood Pressure in Adults. JAMA. 2014;311:507–20. Article CAS Google Scholar * Jayedi A, Shab-Bidar S. Nonlinear dose-response association between body mass index and
risk of all-cause and cardiovascular mortality in patients with hypertension: A meta-analysis. Obes Res Clin Pract. 2018;12:16–28. Article PubMed Google Scholar * Chung WS, Ho FM, Cheng
NC, Lee MC, Yeh CJ. BMI and all-cause mortality among middle-aged and older adults in Taiwan: a population-based cohort study. Public Health Nutr. 2015;18:1839–46. Article PubMed Google
Scholar * McAuley PA, Sui X, Church TS, Hardin JW, Myers JN, Blair SN. The joint effects of cardiorespiratory fitness and adiposity on mortality risk in men with hypertension. Am J
Hypertens. 2009;22:1062–9. Article PubMed Google Scholar * Yang W, Li JP, Zhang Y, Fan FF, Xu XP, Wang BY, et al. Association between Body Mass Index and All-Cause Mortality in
Hypertensive Adults: Results from the China Stroke Primary Prevention Trial (CSPPT). Nutrients. 2016;8:384. Article PubMed Central Google Scholar * Li K, Yao C, Yang X, Di X, Li N, Dong
L, et al. Body Mass Index and the Risk of Cardiovascular and All-Cause Mortality Among Patients With Hypertension: A Population-Based Prospective Cohort Study Among Adults in Beijing, China.
J Epidemiol. 2016;26:654–60. Article PubMed PubMed Central Google Scholar * Xu W, Shubina M, Goldberg SI, Turchin A. Body mass index and all-cause mortality in patients with
hypertension. Obesity. 2015;23:1712–20. Article PubMed Google Scholar * Barrett-Connor E, Khaw KT. Is hypertension more benign when associated with obesity? Circulation. 1985;72:53–60.
Article CAS PubMed Google Scholar * Esler M, Lambert G, Schlaich M, Dixon J, Sari CI, Lambert E. Obesity Paradox in Hypertension: Is This Because Sympathetic Activation in
Obesity-Hypertension Takes a Benign Form? Hypertension. 2018;71:22–33. Article CAS PubMed Google Scholar * Uretsky S, Messerli FH, Bangalore S, Champion A, Cooper-Dehoff RM, Zhou Q, et
al. Obesity paradox in patients with hypertension and coronary artery disease. Am J Med. 2007;120:863–70. Article PubMed Google Scholar * Wang Y, Wang Y, Qain Y, Zhang J, Tang X, Sun J,
et al. Association of body mass index with cause specific deaths in Chinese elderly hypertensive patients: Minhang community study. PLoS One. 2013;8:e71223. Article CAS PubMed PubMed
Central Google Scholar * Elagizi A, Kachur S, Lavie CJ, Carbone S, Pandey A, Ortega FB, et al. An Overview and Update on Obesity and the Obesity Paradox in Cardiovascular Diseases. Prog
Cardiovasc Dis. 2018;61:142–50. Article PubMed Google Scholar * Kim S, Jeong JC, Ahn SY, Doh K, Jin DC, Na KY. Time-varying effects of body mass index on mortality among hemodialysis
patients: Results from a nationwide Korean registry. Kidney Res Clin Pract. 2019;38:90–99. Article PubMed PubMed Central Google Scholar * Yu JM, Kong QY, Schoenhagen P, Shen T, He YS,
Wang JW, et al. The prognostic value of long-term visit-to-visit blood pressure variability on stroke in real-world practice: a dynamic cohort study in a large representative sample of
Chinese hypertensive population. Int J Cardiol. 2014;177:995–1000. Article PubMed Google Scholar * Organization WH Health Topic. In: Hypertension.
https://www.who.int/health-topics/hypertension/#tab=tab_1. * Unger T, Borghi C, Charchar F, Khan NA, Poulter NR, Prabhakaran D, et al. 2020 International Society of Hypertension global
hypertension practice guidelines. J Hypertens. 2020;38:982–1004. Article CAS PubMed Google Scholar * Consultation WHOE. Appropriate body-mass index for Asian populations and its
implications for policy and intervention strategies. Lancet. 2004;363:157–63. Article Google Scholar * Shanghai Municipal Center For Disease Control & Prevention. In.
https://www.scdc.sh.cn/. * Williams TC, Bach CC, Matthiesen NB, Henriksen TB, Gagliardi L. Directed acyclic graphs: a tool for causal studies in paediatrics. Pediatr Res. 2018;84:487–93.
Article PubMed PubMed Central Google Scholar * Hess KR. Assessing time-by-covariate interactions in proportional hazards regression models using cubic spline functions. Stat Med.
1994;13:1045–62. Article CAS PubMed Google Scholar * Heinzl H, Kaider A. Gaining more flexibility in Cox proportional hazards regression models with cubic spline functions. Comput
Methods Programs Biomed. 1997;54:201–8. Article CAS PubMed Google Scholar * Núñez E, Steyerberg EW, Núñez J. [Regression modeling strategies]. Rev Esp Cardiol. 2011;64:501–7. Article
PubMed Google Scholar * Ferrannini E, Cushman WC. Diabetes and hypertension: the bad companions. Lancet. 2012;380:601–10. Article PubMed Google Scholar * Suvila K, Langén V, Cheng S,
Niiranen TJ. Age of Hypertension Onset: Overview of Research and How to Apply in Practice. Curr Hypertens Rep. 2020;22:68. Article PubMed PubMed Central Google Scholar * Cheng S,
Xanthakis V, Sullivan LM, Vasan RS. Blood pressure tracking over the adult life course: patterns and correlates in the Framingham heart study. Hypertension. 2012;60:1393–9. Article CAS
PubMed Google Scholar * Spahillari A, Mukamal KJ, DeFilippi C, Kizer JR, Gottdiener JS, Djoussé L, et al. The association of lean and fat mass with all-cause mortality in older adults: The
Cardiovascular Health Study. Nutr Metab Cardiovasc Dis. 2016;26:1039–47. Article CAS PubMed PubMed Central Google Scholar * Tan BH, Fearon KC. Cachexia: prevalence and impact in
medicine. Curr Opin Clin Nutr Metab Care. 2008;11:400–7. Article PubMed Google Scholar * Stamler R, Ford CE, Stamler J. Why do lean hypertensives have higher mortality rates than other
hypertensives? Findings of the Hypertension Detection and Follow-up Program. Hypertension. 1991;17:553–64. Article CAS PubMed Google Scholar * Flegal KM, Graubard BI, Williamson DF,
Cooper RS. Reverse causation and illness-related weight loss in observational studies of body weight and mortality. Am J Epidemiol. 2011;173:1–9. Article PubMed Google Scholar * Lavie CJ,
Milani RV, Ventura HO. Obesity and cardiovascular disease: risk factor, paradox, and impact of weight loss. J Am Coll Cardiol. 2009;53:1925–32. Article PubMed Google Scholar * Lavie CJ,
McAuley PA, Church TS, Milani RV, Blair SN. Obesity and cardiovascular diseases: implications regarding fitness, fatness, and severity in the obesity paradox. J Am Coll Cardiol.
2014;63:1345–54. Article PubMed Google Scholar * Doehner W, Clark A, Anker SD. The obesity paradox: weighing the benefit. Eur Heart J. 2010;31:146–8. Article PubMed Google Scholar *
Flegal KM, Kit BK, Orpana H, Graubard BI. Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis.
Jama. 2013;309:71–82. Article CAS PubMed PubMed Central Google Scholar * Romero-Corral A, Montori VM, Somers VK, Korinek J, Thomas RJ, Allison TG, et al. Association of bodyweight with
total mortality and with cardiovascular events in coronary artery disease: a systematic review of cohort studies. Lancet. 2006;368:666–78. Article PubMed Google Scholar * Carnethon MR, De
Chavez PJ, Biggs ML, Lewis CE, Pankow JS, Bertoni AG, et al. Association of weight status with mortality in adults with incident diabetes. Jama. 2012;308:581–90. CAS PubMed PubMed Central
Google Scholar * Lainscak M, von Haehling S, Doehner W, Anker SD. The obesity paradox in chronic disease: facts and numbers. J Cachexia Sarcopenia Muscle. 2012;3:1–4. Article PubMed
PubMed Central Google Scholar * Wessel TR, Arant CB, Olson MB, Johnson BD, Reis SE, Sharaf BL, et al. Relationship of physical fitness vs body mass index with coronary artery disease and
cardiovascular events in women. Jama. 2004;292:1179–87. Article CAS PubMed Google Scholar * Blair SN, Kampert JB, Kohl HW 3rd, Barlow CE, Macera CA, Paffenbarger RS Jr, et al. Influences
of cardiorespiratory fitness and other precursors on cardiovascular disease and all-cause mortality in men and women. Jama. 1996;276:205–10. Article CAS PubMed Google Scholar * Artero
EG, Lee DC, Ruiz JR, Sui X, Ortega FB, Church TS, et al. A prospective study of muscular strength and all-cause mortality in men with hypertension. J Am Coll Cardiol. 2011;57:1831–7. Article
PubMed PubMed Central Google Scholar * Carbone S, Lavie CJ, Arena R. Obesity and Heart Failure: Focus on the Obesity Paradox. Mayo Clin Proc. 2017;92:266–79. Article PubMed Google
Scholar * Dixon JB, Lambert GW. The obesity paradox-a reality that requires explanation and clinical interpretation. Atherosclerosis. 2013;226:47–8. Article CAS PubMed Google Scholar *
Mohamed-Ali V, Goodrick S, Bulmer K, Holly JM, Yudkin JS, Coppack SW. Production of soluble tumor necrosis factor receptors by human subcutaneous adipose tissue in vivo. Am J Physiol.
1999;277:E971–5. CAS PubMed Google Scholar * Feldman AM, Combes A, Wagner D, Kadakomi T, Kubota T, Li YY, et al. The role of tumor necrosis factor in the pathophysiology of heart failure.
J Am Coll Cardiol. 2000;35:537–44. Article CAS PubMed Google Scholar * Oreopoulos A, Kalantar-Zadeh K, Sharma AM, Fonarow GC. The obesity paradox in the elderly: potential mechanisms
and clinical implications. Clin Geriatr Med. 2009;25:643–59. Article PubMed Google Scholar * Cornier MA, Després JP, Davis N, Grossniklaus DA, Klein S, Lamarche B, et al. Assessing
adiposity: a scientific statement from the American Heart Association. Circulation. 2011;124:1996–2019. Article PubMed Google Scholar * Sarwer DB, Polonsky HM. The Psychosocial Burden of
Obesity. Endocrinol Metab Clin North Am. 2016;45:677–88. Article PubMed PubMed Central Google Scholar Download references ACKNOWLEDGEMENTS The authors would like to thank the research
participants and the staff of the Minhang District community in Shanghai, China for their contributions to the research. FUNDING This study was supported by Shanghai Municipal Nature Science
Foundation (19ZR1445900), Nature Science Foundation of Minhang district, Shanghai, China (2020MHZ043), the National Nature Science Foundation of China (NO: 11871164 and No 82073570),
Minhang district key disciplines in public health (MGWXK01) and Health Consortium Foundation of Fudan University and Minhang District Health Committee (NO: 2019FM02). AUTHOR INFORMATION
Author notes * These authors contributed equally: Jingjing Zhu, Xiaohua Liu. AUTHORS AND AFFILIATIONS * Department of Biostatistics, School of Public Health, Fudan University, Shanghai, PR
China Jingjing Zhu, Chen Huang, Yongfu Yu & Guoyou Qin * Shanghai Minhang Center for Disease Control and Prevention, 965 Zhong Yi Road, Shanghai, 201101, PR China Xiaohua Liu, Jinling
Zhang, Jun Li, Linli Chen & Huilin Xu * Minhang District Branch of School of Public Health, Fudan University, Shanghai, PR China Xiaohua Liu & Huilin Xu * Department of Clinical
Medicine-Department of Clinical Epidemiology, Aarhus University, Aarhus N, 8200, Denmark Jiong Li * Key Lab of Health Technology Assessment, National Health Commission of the People’s
Republic of China, Fudan University, Shanghai, 200032, PR China Guoyou Qin Authors * Jingjing Zhu View author publications You can also search for this author inPubMed Google Scholar *
Xiaohua Liu View author publications You can also search for this author inPubMed Google Scholar * Jinling Zhang View author publications You can also search for this author inPubMed Google
Scholar * Jun Li View author publications You can also search for this author inPubMed Google Scholar * Linli Chen View author publications You can also search for this author inPubMed
Google Scholar * Chen Huang View author publications You can also search for this author inPubMed Google Scholar * Jiong Li View author publications You can also search for this author
inPubMed Google Scholar * Yongfu Yu View author publications You can also search for this author inPubMed Google Scholar * Huilin Xu View author publications You can also search for this
author inPubMed Google Scholar * Guoyou Qin View author publications You can also search for this author inPubMed Google Scholar CONTRIBUTIONS YFY, HLX, and GYQ had full access to all of the
data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. YFY, HLX, and GYQ conceived the idea, JJZ and HLX conducted data extraction
and statistical analyses. JJZ wrote the first draft of the manuscript. JLZ, JL, and LLC involved in data acquisition and check. YFY, HLX, and GYQ contributed to data interpretation. All
authors revised the manuscript for important intellectual content. All authors read and approved the final manuscript. CORRESPONDING AUTHORS Correspondence to Yongfu Yu, Huilin Xu or Guoyou
Qin. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no competing interests ETHICS APPROVAL AND CONSENT TO PARTICIPATE The study was approved by the Institutional Review Board of
center for disease control and prevention in Minhang District, Shanghai (NO: EC-P-2019-009). Informed consent from participants involved in the study was waived due to the fact that
anonymized data compiled from electronic medical records was applied in the study. ADDITIONAL INFORMATION PUBLISHER’S NOTE Springer Nature remains neutral with regard to jurisdictional
claims in published maps and institutional affiliations. SUPPLEMENTARY INFORMATION ADDITIONAL FILE RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Zhu,
J., Liu, X., Zhang, J. _et al._ Time-varying association between body mass index and all-cause mortality in patients with hypertension. _Int J Obes_ 46, 316–324 (2022).
https://doi.org/10.1038/s41366-021-00994-0 Download citation * Received: 04 May 2021 * Revised: 21 September 2021 * Accepted: 11 October 2021 * Published: 25 October 2021 * Issue Date:
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