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Donnelly LA, McCrimmon RJ, Pearson ER. Trajectories of BMI before and after diagnosis of type 2 diabetes in a real-world population. Diabetologia 2024:10.1007/s00125-024-06217-1. [PMID: 38967665 DOI: 10.1007/s00125-024-06217-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 05/14/2024] [Indexed: 07/06/2024]
Abstract
AIMS/HYPOTHESIS Few studies have examined the clinical characteristics associated with changes in weight before and after diagnosis of type 2 diabetes. Using a large real-world cohort, we derived trajectories of BMI before and after diabetes diagnosis, and examined the clinical characteristics associated with these trajectories, including assessing the impact of pre-diagnosis weight change on post-diagnosis weight change. METHODS We performed an observational cohort study using electronic medical records from individuals in the Scottish Care Information Diabetes Collaboration database. Two trajectories were calculated, based on observed BMI measurements between 3 years and 6 months before diagnosis and between 1 and 5 years after diagnosis. In the post-diagnosis trajectory, each BMI measurement was time-dependently adjusted for the effects of diabetes medications and HbA1c change. RESULTS A total of 2736 individuals were included in the study. There was a pattern of pre-diagnosis weight gain, with 1944 individuals (71%) gaining weight overall, and 875 (32%) gaining more than 0.5 kg/m2 per year. This was followed by a pattern of weight loss after diagnosis, with 1722 individuals (63%) losing weight. Younger age and greater social deprivation were associated with increased weight gain before diagnosis. Pre-diagnosis weight change was unrelated to post-diagnosis weight change, but post-diagnosis weight loss was associated with older age, female sex, higher BMI, higher HbA1c and weight gain during the peri-diagnosis period. When considering the peri-diagnostic period (defined as from 6 months before to 12 months after diagnosis), we identified 986 (36%) individuals who had a high HbA1c at diagnosis but who lost weight rapidly and were most aggressively treated at 1 year; this subgroup had the best glycaemic control at 5 years. CONCLUSIONS/INTERPRETATION Average weight increases before diagnosis and decreases after diagnosis; however, there were significant differences across the population in terms of weight changes. Younger individuals gained weight pre-diagnosis, but, in older individuals, type 2 diabetes is less associated with weight gain, consistent with other drivers for diabetes aetiology in older adults. We have identified a substantial group of individuals who have a rapid deterioration in glycaemic control, together with weight loss, around the time of diagnosis, and who subsequently stabilise, suggesting that a high HbA1c at diagnosis is not inevitably associated with a poor outcome and may be driven by reversible glucose toxicity.
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Affiliation(s)
- Louise A Donnelly
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Rory J McCrimmon
- Division of Systems Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Ewan R Pearson
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.
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2
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Oguntade AS, Taylor H, Lacey B, Lewington S. Adiposity, fat-free mass and incident heart failure in 500 000 individuals. Open Heart 2024; 11:e002711. [PMID: 38964877 PMCID: PMC11227841 DOI: 10.1136/openhrt-2024-002711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Accepted: 06/20/2024] [Indexed: 07/06/2024] Open
Abstract
BACKGROUND AND AIMS The independent role of body fat distribution and fat-free mass in heart failure (HF) risk is unclear. We investigated the role of different body composition compartments in risk of HF. METHODS Present analyses include 428 087 participants (mean age 55.9 years, 44% male) from the UK Biobank. Associations of long-term average levels of body composition measures with incident HF were determined using adjusted Cox proportional hazards regression models. RESULTS Over a median follow-up of 13.8 years, there were 10 455 first-ever incident HF events. Overall, HF risk was more strongly associated with central adiposity (waist circumference (WC) adjusted for body mass index (BMI); HR 1.38, 95% CI 1.32 to 1.45) than general adiposity (BMI adjusted for WC; HR 1.22, 95% CI 1.16 to 1.27). Although dual X-ray absorptiometry-derived body fat remained positively related to HF after adjustment for fat-free mass (HR 1.37, 95% CI 1.18 to 1.59), the association of fat-free mass with HF was substantially attenuated by fat mass (HR 1.12, 95% CI 1.01 to 1.26) while visceral fat (VAT) remained associated with HF independent of subcutaneous fat (HR 1.20, 95% CI 1.09 to 1.33). In analyses of HF subtypes, HF with preserved ejection fraction was independently associated with all fat measures (eg, VAT: HR 1.23, 95% CI 1.12 to 1.35; body fat: HR 1.36, 95% CI 1.17 to 1.57) while HF with reduced ejection fraction was not independently associated with fat measures (eg, VAT: HR 1.29, 95% CI 0.98 to 1.68; body fat: HR 1.29, 95% CI 0.80 to 2.07). CONCLUSIONS This large-scale study shows that excess adiposity and fat mass are associated with higher HF risk while the association of fat-free mass with HF could be explained largely by its correlation with fat mass. The study also describes the independent relevance of body fat distribution to HF subtypes, suggesting different mechanisms may be driving their aetiopathogenesis.
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Affiliation(s)
- Ayodipupo S Oguntade
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Department of Cardiology, Hull University Teaching Hospitals NHS Trust, Hull, UK
| | - Hannah Taylor
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ben Lacey
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Biobank, Stockport, UK
| | - Sarah Lewington
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
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Samuel M, Park RY, Eastwood SV, Eto F, Morton CE, Stow D, Bacon S, Mehrkar A, Morley J, Dillingham I, Inglesby P, Hulme WJ, Khunti K, Mathur R, Valabhji J, MacKenna B, Finer S. Trends in weight gain recorded in English primary care before and during the Coronavirus-19 pandemic: An observational cohort study using the OpenSAFELY platform. PLoS Med 2024; 21:e1004398. [PMID: 38913709 PMCID: PMC11249215 DOI: 10.1371/journal.pmed.1004398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 07/15/2024] [Accepted: 04/05/2024] [Indexed: 06/26/2024] Open
Abstract
BACKGROUND Obesity and rapid weight gain are established risk factors for noncommunicable diseases and have emerged as independent risk factors for severe disease following Coronavirus Disease 2019 (COVID-19) infection. Restrictions imposed to reduce COVID-19 transmission resulted in profound societal changes that impacted many health behaviours, including physical activity and nutrition, associated with rate of weight gain. We investigated which clinical and sociodemographic characteristics were associated with rapid weight gain and the greatest acceleration in rate of weight gain during the pandemic among adults registered with an English National Health Service (NHS) general practitioner (GP) during the COVID-19 pandemic. METHODS AND FINDINGS With the approval of NHS England, we used the OpenSAFELY platform inside TPP to conduct an observational cohort study of routinely collected electronic healthcare records. We investigated changes in body mass index (BMI) values recorded in English primary care between March 2015 and March 2022. We extracted data on 17,742,365 adults aged 18 to 90 years old (50.1% female, 76.1% white British) registered with an English primary care practice. We estimated individual rates of weight gain before (δ-prepandemic) and during (δ-pandemic) the pandemic and identified individuals with rapid weight gain (>0.5 kg/m2/year) in each period. We also estimated the change in rate of weight gain between the prepandemic and pandemic period (δ-change = δ-pandemic-δ-prepandemic) and defined extreme accelerators as the 10% of individuals with the greatest increase in their rate of weight gain (δ-change ≥1.84 kg/m2/year) between these periods. We estimated associations with these outcomes using multivariable logistic regression adjusted for age, sex, index of multiple deprivation (IMD), and ethnicity. P-values were generated in regression models. The median BMI of our study population was 27.8 kg/m2, interquartile range (IQR) [24.3, 32.1] in 2019 (March 2019 to February 2020) and 28.0 kg/m2, IQR [24.4, 32.6] in 2021. Rapid pandemic weight gain was associated with sex, age, and IMD. Male sex (male versus female: adjusted odds ratio (aOR) 0.76, 95% confidence interval (95% CI) [0.76, 0.76], p < 0.001), older age (e.g., 50 to 59 years versus 18 to 29 years: aOR 0.60, 95% CI [0.60, 0.61], p < 0.001]); and living in less deprived areas (least-deprived-IMD-quintile versus most-deprived: aOR 0.77, 95% CI [0.77, 0.78] p < 0.001) reduced the odds of rapid weight gain. Compared to white British individuals, all other ethnicities had lower odds of rapid pandemic weight gain (e.g., Indian versus white British: aOR 0.69, 95% CI [0.68, 0.70], p < 0.001). Long-term conditions (LTCs) increased the odds, with mental health conditions having the greatest effect (e.g., depression (aOR 1.18, 95% CI [1.17, 1.18], p < 0.001)). Similar characteristics increased odds of extreme acceleration in the rate of weight gain between the prepandemic and pandemic periods. However, changes in healthcare activity during the pandemic may have introduced new bias to the data. CONCLUSIONS We found female sex, younger age, deprivation, white British ethnicity, and mental health conditions were associated with rapid pandemic weight gain and extreme acceleration in rate of weight gain between the prepandemic and pandemic periods. Our findings highlight the need to incorporate sociodemographic, physical, and mental health characteristics when formulating research, policies, and interventions targeting BMI in the period of post pandemic service restoration and in future pandemic planning.
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Affiliation(s)
- Miriam Samuel
- Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
| | - Robin Y Park
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Sophie V Eastwood
- MRC Unit for Lifelong Health and Ageing, University College London, London, United Kingdom
| | - Fabiola Eto
- Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
| | - Caroline E Morton
- Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Daniel Stow
- Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
| | - Sebastian Bacon
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Amir Mehrkar
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Jessica Morley
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Iain Dillingham
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Peter Inglesby
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - William J Hulme
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Kamlesh Khunti
- Diabetes Research Centre, College of Medicine, Biological Sciences and Psychology, University of Leicester, Leicester, United Kingdom
| | - Rohini Mathur
- Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
| | - Jonathan Valabhji
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Chelsea and Westminster Hospital Campus, Imperial College London, London, United Kingdom
| | - Brian MacKenna
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Sarah Finer
- Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
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Rydhög B, Carrera-Bastos P, Granfeldt Y, Sundquist K, Sonestedt E, Nilsson PM, Jönsson T. Inverse association between Paleolithic Diet Fraction and mortality and incidence of cardiometabolic disease in the prospective Malmö Diet and Cancer Study. Eur J Nutr 2024; 63:501-512. [PMID: 38078965 PMCID: PMC10899283 DOI: 10.1007/s00394-023-03279-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 11/08/2023] [Indexed: 02/28/2024]
Abstract
PURPOSE Paleolithic Diet Fraction (PDF) estimates how large a portion of the absolute dietary intake stems from food groups included in the Paleolithic diet. In randomized controlled trials higher PDFs have been associated with healthier levels of cardiometabolic risk markers. Our aim was to build upon these findings by examining associations between PDF and mortality and incidence of cardiometabolic disease in the prospective Malmö Diet and Cancer Study. METHODS PDF was calculated from an interview-based, modified diet history method, and associations were estimated by using multivariable Cox proportional hazards regression. The examined cohort consisted of 24,104 individuals (44-74 years, 63% women) without previous coronary events, diabetes, or stroke at baseline (1992-1996). A total of 10,092 individuals died during a median follow-up of 18 years. RESULTS Median PDF was 40% (0-90%). The adjusted hazard ratios (HR) for PDF as a continuous variable (from 0 to 100%) were for risk of death from all causes 0.55 [95% CI 0.45, 0.66], tumor 0.68 [95% CI 0.49, 0.93], cardiovascular 0.55 [95% CI 0.39, 0.78], respiratory 0.44 [95% CI 0.21, 0.90], neurological 0.26 [95% CI 0.11, 0.60], digestive, 0.10 [95% CI 0.03, 0.30], and other diseases 0.64 [95% CI 0.41, 1.00]. The corresponding HR for risk of coronary event was 0.61 [95% 0.43, 0.86], for ischemic stroke it was 0.73 [95% 0.48, 1.09] and for type 2 diabetes it was 0.82 [95% 0.61, 1.10]. CONCLUSION Observational data suggest an inverse association between PDF and all-cause as well as cause-specific mortality and incidence of cardiometabolic disease.
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Affiliation(s)
- Björn Rydhög
- Center for Primary Health Care Research, Department of Clinical Sciences in Malmö, Skåne University Hospital, Lund University, Jan Waldenströms Gata 35, CRC, Hus 28 Plan 11, 205 02, Malmö, Sweden.
| | - Pedro Carrera-Bastos
- Center for Primary Health Care Research, Department of Clinical Sciences in Malmö, Skåne University Hospital, Lund University, Jan Waldenströms Gata 35, CRC, Hus 28 Plan 11, 205 02, Malmö, Sweden
| | - Yvonne Granfeldt
- Department of Food Technology, Engineering and Nutrition, Lund University, Lund, Sweden
| | - Kristina Sundquist
- Center for Primary Health Care Research, Department of Clinical Sciences in Malmö, Skåne University Hospital, Lund University, Jan Waldenströms Gata 35, CRC, Hus 28 Plan 11, 205 02, Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Peter M Nilsson
- Internal Medicine-Epidemiology, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Tommy Jönsson
- Center for Primary Health Care Research, Department of Clinical Sciences in Malmö, Skåne University Hospital, Lund University, Jan Waldenströms Gata 35, CRC, Hus 28 Plan 11, 205 02, Malmö, Sweden
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5
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Mangot-Sala L, Smidt N, Liefbroer AC. Work- and mental health-related events and body mass index trajectories during the Covid-19 lockdown. Evidence from the lifelines cohort study in the Netherlands. Int J Obes (Lond) 2024; 48:346-352. [PMID: 38042931 PMCID: PMC10896728 DOI: 10.1038/s41366-023-01421-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 11/14/2023] [Accepted: 11/16/2023] [Indexed: 12/04/2023]
Abstract
BACKGROUND The aim of this study was to identify heterogeneity in trajectories of body mass index (BMI) during the Covid-19 pandemic in the Netherlands. Moreover, we aimed to investigate whether work- and mental health-related disruptive events experienced during the pandemic, such as job insecurity or depression, were associated with such BMI trajectories. METHODS Longitudinal data from the Lifelines Covid Questionnaire was used (21 waves between April 2020 and July 2021; n = 64,630). Different trajectories were identified using group-based trajectory models. Multinomial regression models were fitted to analyse the main determinants of experiencing changes in BMI during the pandemic. RESULTS Trajectories of increased BMI, and, to a lesser extent also trajectories of decreased BMI, were more common among those who experienced disruptive work-related events (e.g., being laid-off or having a temporary contract) and mental health-related events (e.g., anxiety or depression) during the pandemic. Those experiencing multiple events were particularly likely to show trajectories of increased or decreased BMI. CONCLUSIONS During the Covid-19 pandemic, strong heterogeneity was observed in BMI trajectories. This was partially related to work- and mental health-related events.
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Affiliation(s)
- Lluís Mangot-Sala
- Netherlands Interdisciplinary Demographic Institute (NIDI)-Royal Netherlands Academy of Sciences (KNAW), The Hague, the Netherlands.
- Department of Epidemiology, University Medical Center Groningen (UMCG), University of Groningen (RUG), Groningen, the Netherlands.
| | - Nynke Smidt
- Department of Epidemiology, University Medical Center Groningen (UMCG), University of Groningen (RUG), Groningen, the Netherlands
| | - Aart C Liefbroer
- Netherlands Interdisciplinary Demographic Institute (NIDI)-Royal Netherlands Academy of Sciences (KNAW), The Hague, the Netherlands
- Department of Epidemiology, University Medical Center Groningen (UMCG), University of Groningen (RUG), Groningen, the Netherlands
- Department of Sociology, Vrije Universiteit Amsterdam (VU), Amsterdam, the Netherlands
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Yamamoto N, Ejima K, Mestre LM, Owora AH, Inoue M, Tsugane S, Sawada N. Body mass index trajectories and mortality risk in Japan using a population-based prospective cohort study: the Japan Public Health Center-based Prospective Study. Int J Epidemiol 2024; 53:dyad145. [PMID: 37878816 PMCID: PMC10859135 DOI: 10.1093/ije/dyad145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 10/05/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND Recent studies have found that long-term changes in weight during adulthood are associated with a high risk of mortality. The objective of this study was to characterize body mass index (BMI) trajectories during adulthood and to examine the association between BMI trajectories and risk of death in the Japanese population. METHODS The data were extracted from Japan Public Health Center-based Prospective Study-a population-based prospective cohort study in Japan with participants aged 40-69 years followed over 20 years. The participants were categorized into multiple BMI trajectory groups using the latent class growth model. The Cox proportional-hazards model was conducted using all-cause mortality and cause-specific mortality as outcomes and the identified BMI trajectory groups as a predictor. In total, 65 520 participants were included in the analysis. RESULTS Six BMI trajectory groups were identified: underweight stable (Group 1), low-to-high normal (Group 2), high-to-low normal (Group 3), normal to overweight (Group 4), overweight to normal (Group 5) and normal to obese (Group 6). Our Cox models showed a higher hazard (risk) of all-cause mortality among participants in the BMI-declining groups [Group 3, adjusted hazard ratio (aHR): 1.10, 95% CI: 1.05-1.16; Group 5, aHR: 1.16, 95% CI: 1.08-1.26], underweight stable group (Group 1, aHR: 1.27, 95% CI: 1.21-1.33) and normal to obese group (Group 6, aHR: 1.22, 95% CI: 1.13-1.33) than Group 2 (low-to-high normal BMI trajectory). CONCLUSIONS Stable underweight and weight loss were associated with a high risk of mortality, both of which were uniquely observed in a Japanese population.
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Affiliation(s)
- Nao Yamamoto
- School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA
| | - Keisuke Ejima
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Luis M Mestre
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Arthur H Owora
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA
- Department of Pediatrics, Indiana University School of Medicine-Indianapolis, Indianapolis, IN, USA
| | - Manami Inoue
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
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Jeong JH, Kim YG, Han KD, Roh SY, Lee HS, Choi YY, Shim J, Choi JI, Kim YH. Association of temporal change in body mass index with sudden cardiac arrest in diabetes mellitus. Cardiovasc Diabetol 2024; 23:46. [PMID: 38281993 PMCID: PMC10823669 DOI: 10.1186/s12933-024-02130-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 01/10/2024] [Indexed: 01/30/2024] Open
Abstract
BACKGROUND Underweight imposes significant burden on cardiovascular outcomes in patients with diabetes mellitus. However, less is known about the impact of serial change in body weight status measured as body mass index (BMI) on the risk of sudden cardiac arrest (SCA). This study investigated the association between SCA and temporal change in BMI among patients with diabetes mellitus. METHODS Based on Korean National Health Insurance Service database, participants with diabetes mellitus who underwent health examination between 2009 and 2012 and had prior health examination data (four years ago, 2005-2008) were retrospectively analyzed. BMI was measured at baseline (2005-2008) and 4-year follow-up health examination (2009-2012). Patients were classified in four groups according to the body weight status and its temporal change: sustained non-underweight, sustained underweight, previous underweight, and newly developed underweight. Primary outcome was defined as occurrence of SCA. RESULTS A total of 1,355,746 patients with diabetes mellitus were included for analysis, and SCA occurred in 12,554 cases. SCA was most common in newly developed underweight (incidence rate = 4.45 per 1,000 person-years), followed by sustained underweight (incidence rate = 3.90), previous underweight (incidence rate = 3.03), and sustained non-underweight (incidence rate = 1.34). Adjustment of covariates resulted highest risk of SCA in sustained underweight (adjusted hazard ratio = 2.60, 95% confidence interval [2.25-3.00], sustained non-underweight as a reference), followed by newly developed underweight (2.42, [2.15-2.74]), and previous underweight (2.12, [1.77-2.53]). CONCLUSIONS In diabetes mellitus, sustained underweight as well as decrease in body weight during 4-year follow-up imposes substantial risk on SCA. Recovery from underweight over time had relatively lower, but yet increased risk of SCA. Both underweight and dynamic decrease in BMI can be associated with increased risk of SCA.
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Affiliation(s)
- Joo Hee Jeong
- Division of Cardiology, Department of Internal Medicine, Korea University College of Medicine, Korea University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, 02841, Seoul, Republic of Korea
| | - Yun Gi Kim
- Division of Cardiology, Department of Internal Medicine, Korea University College of Medicine, Korea University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, 02841, Seoul, Republic of Korea
| | - Kyung-Do Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Seung-Young Roh
- Division of Cardiology, Department of Internal Medicine, Korea University College of Medicine, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Hyoung Seok Lee
- Division of Cardiology, Department of Internal Medicine, Korea University College of Medicine, Korea University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, 02841, Seoul, Republic of Korea
| | - Yun Young Choi
- Division of Cardiology, Department of Internal Medicine, Korea University College of Medicine, Korea University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, 02841, Seoul, Republic of Korea
| | - Jaemin Shim
- Division of Cardiology, Department of Internal Medicine, Korea University College of Medicine, Korea University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, 02841, Seoul, Republic of Korea
| | - Jong-Il Choi
- Division of Cardiology, Department of Internal Medicine, Korea University College of Medicine, Korea University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, 02841, Seoul, Republic of Korea.
| | - Young-Hoon Kim
- Division of Cardiology, Department of Internal Medicine, Korea University College of Medicine, Korea University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, 02841, Seoul, Republic of Korea
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8
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Guo J, Dove A, Shang Y, Marseglia A, Johnell K, Rizzuto D, Xu W. Associations Between Mid- to Late-Life Body Mass Index and Chronic Disease-Free Survival: A Nationwide Twin Study. J Gerontol A Biol Sci Med Sci 2024; 79:glad111. [PMID: 37096341 PMCID: PMC10733179 DOI: 10.1093/gerona/glad111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Indexed: 04/26/2023] Open
Abstract
BACKGROUND Some studies have linked late-life overweight to a reduced mortality risk compared to normal body mass index (BMI). However, the impact of late-life overweight and its combination with mid-life BMI status on healthy survival remains unclear. We aimed to investigate whether and to what extent mid- and/or late-life overweight are associated with chronic disease-free survival. METHODS Within the Swedish Twin Registry, 11 597 chronic disease-free twins aged 60-79 years at baseline were followed up for 18 years. BMI (kg/m2) was recorded at baseline and 25-35 years before baseline (ie, midlife) and divided as underweight (<20), normal (≥20-25), overweight (≥25-30), and obese (≥30). Incident chronic diseases (cardiovascular diseases, type 2 diabetes, and cancer) and deaths were ascertained via registries. Chronic disease-free survival was defined as years lived until the occurrence of any chronic diseases or death. Data were analyzed using multistate survival analysis. RESULTS Of all participants, 5 640 (48.6%) were overweight/obese at baseline. During the follow-up, 8 772 (75.6%) participants developed at least 1 chronic disease or died. Compared to normal BMI, late-life overweight and obesity were associated with 1.1 (95% CI, 0.3, 2.0) and 2.6 (1.6, 3.5) years shorter chronic disease-free survival. Compared to normal BMI through mid- to late life, consistent overweight/obesity and overweight/obesity only in mid-life led to 2.2 (1.0, 3.4) and 2.6 (0.7, 4.4) years shorter disease-free survival, respectively. CONCLUSIONS Late-life overweight and obesity may shorten disease-free survival. Further research is needed to determine whether preventing overweight/obesity from mid- to late life might favor longer and healthier survival.
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Affiliation(s)
- Jie Guo
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Abigail Dove
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Ying Shang
- Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Anna Marseglia
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Kristina Johnell
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Debora Rizzuto
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Weili Xu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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Georgoulis M, Damigou E, Chrysohoou C, Barkas F, Kravvariti E, Tsioufis C, Pitsavos C, Liberopoulos E, Sfikakis PP, Panagiotakos DB. Increased body weight and central adiposity markers are positively associated with the 20-year incidence of cardiovascular disease: The ATTICA epidemiological study (2002-2022). Nutr Res 2024; 121:1-15. [PMID: 37995411 DOI: 10.1016/j.nutres.2023.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 10/31/2023] [Accepted: 10/31/2023] [Indexed: 11/25/2023]
Abstract
Increased adiposity predisposes to cardiovascular disease (CVD). We hypothesized that the presence of obesity would be positively associated with CVD risk, and that the co-presence of central obesity would modify/enhance this association. This was a prospective study (2002-2022) among 1845 Greek adults (mean age, 44.8 ± 13.5 years; men, 49.8%). At baseline, the presence of overweight/obesity was assessed via body mass index (BMI), whereas central obesity was defined as waist circumference ≥102/88 cm, waist-to-hip-ratio ≥0.95/0.80, or waist-to-height-ratio ≥0.50 in men/women. BMI was reevaluated at 10 years and longitudinal BMI trajectories (2002-2012) were identified. CVD incidence was recorded at 20 years (ratio of new cases to the number of participants assessed). Compared with participants with normal weight at baseline, those with obesity exhibited a 27% higher 20-year CVD risk after adjustment for age, sex, lifestyle habits, and medical status (hazard ratio, 1.271; 95% confidence interval, 1.012-1.597). In similar multiadjusted models, compared with participants who were always non-overweight/obese, those who were always overweight/obese exhibited a 40% higher 20-year CVD risk (hazard ratio, 1.403; 95% confidence interval, 1.018-1.936). Additional control for high-sensitivity C-reactive protein attenuated the associations. In the combined baseline body weight classification analysis, CVD incidence was the lowest in participants with normal weight without central obesity, moderate in those with overweight/obesity without central obesity, and highest in those with normal weight and central obesity and overweight/obesity and central obesity (P < .001). Obesity leads to increased CVD risk, partly mediated by inflammation. The combination of BMI with simple measures of abdominal adiposity is superior for CVD risk screening.
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Affiliation(s)
- Michael Georgoulis
- Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17676 Athens, Greece
| | - Evangelia Damigou
- Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17676 Athens, Greece
| | - Christina Chrysohoou
- First Cardiology Clinic, Medical School, National and Kapodistrian University of Athens, Hippokration Hospital, 11527 Athens, Greece
| | - Fotios Barkas
- Department of Internal Medicine, Medical School, University of Ioannina, Ioannina, Greece
| | - Evrydiki Kravvariti
- First Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Laiko General Hospital, 15772, Athens, Greece
| | - Costas Tsioufis
- First Cardiology Clinic, Medical School, National and Kapodistrian University of Athens, Hippokration Hospital, 11527 Athens, Greece
| | - Christos Pitsavos
- First Cardiology Clinic, Medical School, National and Kapodistrian University of Athens, Hippokration Hospital, 11527 Athens, Greece
| | - Evangelos Liberopoulos
- First Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Laiko General Hospital, 15772, Athens, Greece
| | - Petros P Sfikakis
- First Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Laiko General Hospital, 15772, Athens, Greece
| | - Demosthenes B Panagiotakos
- Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17676 Athens, Greece.
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10
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Hackett RA, Gareddu A, Panagi L, Steptoe A, Poole L. Dysregulated responses to stress and weight in people with type 2 diabetes. J Psychosom Res 2023; 170:111354. [PMID: 37178468 PMCID: PMC10758837 DOI: 10.1016/j.jpsychores.2023.111354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 05/02/2023] [Accepted: 05/02/2023] [Indexed: 05/15/2023]
Abstract
OBJECTIVE Dysregulated stress responsivity has been linked with weight gain in healthy samples. However, the relationship between disturbances in stress-related biology and changes in weight in people with type 2 diabetes (T2D) is unclear. METHOD A total of 66 participants with T2D underwent laboratory stress-testing in 2011-2012. Cardiovascular, neuroendocrine and inflammatory responses to standardised mental stress were assessed, and Body Mass Index (BMI) was measured. Participants self-reported information on BMI in 2019. Associations between stress-related biological responses and BMI at follow-up were modelled using linear regression adjusting for age, sex, resting biological levels and baseline BMI. RESULTS Blunted diastolic blood pressure reactivity (B = -0.092, 95% CI -0.177; -0.007, p = 0.034) as well as poorer systolic blood pressure (B = -0.050, 95% CI -0.084; - 0.017, p = 0.004), diastolic blood pressure (B = -0.068, 95% CI -0.132; -0.004, p = 0.034) and heart rate (B = -0.122, 95% CI -0.015;-0.230, p = 0.027) recovery post-stress were associated with higher BMI 7.5 years later. Greater interleukin-1 receptor antagonist (B = 16.93, 95% CI 6.20; 27.67, p = 0.003) and monocyte chemoattractant protein-1 reactivity (B = 0.04, 95% CI 0.002; 0.084, p = 0.041) were associated with weight gain. No significant associations were detected for interleukin-6 or laboratory cortisol measures. CONCLUSION Disturbances in stress-related biology may promote weight gain in people with T2D. Research with a larger sample size is required to explore associations between stress responsivity and BMI in people with T2D.
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Affiliation(s)
- Ruth A Hackett
- Health Psychology Section, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Alessia Gareddu
- Health Psychology Section, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Laura Panagi
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
| | - Andrew Steptoe
- Behavioural Science and Health, Institution of Epidemiology and Health Care, University College London, London, UK.
| | - Lydia Poole
- Department of Psychological Interventions, School of Psychology, University of Surrey, Guildford, UK.
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11
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Kwon SY, Kim G, Lee J, Park J, Lee YB, Jin SM, Hur KY, Kim JH. Association of body weight change with all-cause and cause-specific mortality: A nationwide population-based study. Diabetes Res Clin Pract 2023; 199:110666. [PMID: 37031890 DOI: 10.1016/j.diabres.2023.110666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 03/09/2023] [Accepted: 04/04/2023] [Indexed: 04/11/2023]
Abstract
AIMS Weight gain and loss increase the risk of all-cause mortality. This study explored the association of short-term weight change with all-cause and cause-specific mortality in middle-aged to older people. METHODS This was a 8.4-year retrospective cohort study of 645,260 adults aged 40 to 80 who underwent health checkups twice within a 2-year interval between January 2009 and December 2012. Cox analyses were used to analyze the association between short-term weight change and all-cause and cause-specific mortality. RESULTS Weight gain and loss were associated with an increased risk of all-cause mortality: the hazard ratios were 2.05 (95% confidence interval [CI], 1.93-2.16), 1.21 (95% CI, 1.16-1.25), 1.12 (95% CI 1.08-1.17), and 1.60 (95% CI, 1.49-1.70) for the severe weight loss, moderate weight loss, moderate weight gain, and severe weight gain groups, respectively. This U-shaped association was also seen between weight change and cause-specific mortality. Within the weight loss group, those who regained weight after two years had a reduced mortality risk. CONCLUSIONS In a middle-aged and elderly population, weight gain or loss of more than 3% during a 2-year interval was related to an elevated risk of all-cause and cause-specific mortality.
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Affiliation(s)
- So Yoon Kwon
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam‑gu, Seoul, Korea
| | - Gyuri Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam‑gu, Seoul, Korea
| | - Jungkuk Lee
- Data Science Team, Hanmi Pharm. Co., Ltd., Seoul, Korea
| | - Jiyun Park
- Division of Endocrine and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Bundang-gu, Seongnam, Gyeonggi-do, Korea
| | - You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam‑gu, Seoul, Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam‑gu, Seoul, Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam‑gu, Seoul, Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam‑gu, Seoul, Korea; Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, Korea.
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12
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Lopez-Jimenez F, Almahmeed W, Bays H, Cuevas A, Di Angelantonio E, le Roux CW, Sattar N, Sun MC, Wittert G, Pinto FJ, Wilding JPH. Obesity and cardiovascular disease: mechanistic insights and management strategies. A joint position paper by the World Heart Federation and World Obesity Federation. Eur J Prev Cardiol 2022; 29:2218-2237. [PMID: 36007112 DOI: 10.1093/eurjpc/zwac187] [Citation(s) in RCA: 64] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 08/19/2022] [Accepted: 08/23/2022] [Indexed: 01/11/2023]
Abstract
The ongoing obesity epidemic represents a global public health crisis that contributes to poor health outcomes, reduced quality of life, and >2.8 million deaths each year. Obesity is relapsing, progressive, and heterogeneous. It is considered a chronic disease by the World Obesity Federation (WOF) and a chronic condition by the World Heart Federation (WHF). People living with overweight/obesity are at greater risk for cardiovascular (CV) morbidity and mortality. Increased adiposity (body fat), particularly visceral/abdominal fat, is linked to CV risk and CV disease (CVD) via multiple direct and indirect pathophysiological mechanisms. The development of CVD is driven, in part, by obesity-related metabolic, endocrinologic, immunologic, structural, humoral, haemodynamic, and functional alterations. The complex multifaceted nature of these mechanisms can be challenging to understand and address in clinical practice. People living with obesity and CVD often have concurrent chronic physical or psychological disorders (multimorbidity) requiring multidisciplinary care pathways and polypharmacy. Evidence indicates that intentional weight loss (particularly when substantial) lowers CVD risk among people with overweight/obesity. Long-term weight loss and maintenance require ongoing commitment from both the individual and those responsible for their care. This position paper, developed by the WOF and the WHF, aims to improve understanding of the direct and indirect links between overweight/obesity and CVD, the key controversies in this area and evidence relating to cardiometabolic outcomes with available weight management options. Finally, an action plan for clinicians provides recommendations to help in identifying and addressing the risks of obesity-related CVD (recognizing resource and support variances between countries).
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Affiliation(s)
| | - Wael Almahmeed
- Department of Cardiology, Heart and Vascular Institute, Cleveland Clinic Abu Dhabi, United Arab Emirates
| | - Harold Bays
- Louisville Metabolic and Atherosclerosis Research Center, Louisville, KY, USA
| | - Ada Cuevas
- Center for Advanced Metabolic Medicine and Nutrition (CAMMYN), School of Medicine University Finis Terrae, Santiago, Chile
| | - Emanuele Di Angelantonio
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Health Data Science Centre, Human Technopole, Milan, Italy
| | - Carel W le Roux
- Diabetes Complications Research Centre, University College Dublin, Dublin, Ireland
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Marie Chan Sun
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Mauritius, Mauritius
| | - Gary Wittert
- Freemasons Centre for Male Health and Wellbeing, School of Medicine, University of Adelaide, Adelaide, Australia
| | - Fausto J Pinto
- Cardiology Department, Centro Hospitalar Universitário Lisboa Norte, CAML, CCUL, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
- Office of the President, World Heart Federation, Geneva, Switzerland
| | - John P H Wilding
- Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, Clinical Sciences Centre, Aintree University Hospital, Liverpool, UK
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13
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Zhai Y, Bi W, Li Z, Qu L, Jia Y, Cheng Y. Dynamic Change of Cardiovascular Health Metrics and Long‐Term Risk of Sudden Cardiac Death: The ARIC Study. J Am Heart Assoc 2022; 11:e027386. [DOI: 10.1161/jaha.122.027386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Background
The change of cardiovascular health (CVH) status has been associated with risk of cardiovascular disease. However, no studies have explored the change patterns of CVH in relation to risk of sudden cardiac death (SCD). We aim to examine the link between baseline CVH and change of CVH over time with the risk of SCD.
Methods and Results
Analyses were conducted in the prospective cohort ARIC (Atherosclerosis Risk in Communities) study, started in 1987 to 1989. ARIC enrolled 15 792 individuals 45 to 64 years of age from 4 US communities (Forsyth County, North Carolina; Jackson, Mississippi; suburbs of Minneapolis, Minnesota; and Washington County, Maryland). Subjects with 0 to 2, 3 to 4, and 5 to 7 ideal metrics of CVH were categorized as having poor, intermediate, or ideal CVH, respectively. Change in CVH over 6 years between 1987 to 1989 and 1993 to 1995 was considered. The primary study outcome was physician adjudicated SCD. The study population consisted of 15 026 subjects, of whom 12 207 had data about CVH change. Over a median follow‐up of 23.0 years, 583 cases of SCD were recorded. There was a strong inverse association between baseline CVH metrics and time varying CVH metrics with risk of SCD. Compared with subjects with consistently poor CVH, risk of SCD was lower in those changed from poor to intermediate/ideal (hazard ratio [HR], 0.67 [95% CI, 0.48–0.94]), intermediate to poor (HR, 0.73 [95% CI, 0.54–0.99]), intermediate to ideal (HR, 0.49 [95% CI, 0.24–0.99]), ideal to poor/intermediate CVH (HR, 0.23 [95% CI, 0.10–0.52]), or those with consistently intermediate (HR, 0.49 [95% CI, 0.36–0.66]) or consistently ideal CVH (HR, 0.31 [95% CI, 0.13–0.76]). Similar results were also observed for non‐SCD.
Conclusions
Compared with consistently poor CVH, other patterns of change in CVH were associated with lower risk of SCD. These findings highlight the importance of promotion of ideal CVH in the primordial prevention of SCD.
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Affiliation(s)
- Yuan‐Sheng Zhai
- Department of Cardiology The First Affiliated Hospital, Sun Yat‐Sen University Guangzhou China
- Key Laboratory on Assisted Circulation Ministry of Health Guangzhou China
| | - Wen‐Tao Bi
- Department of Cardiology The First Affiliated Hospital, Sun Yat‐Sen University Guangzhou China
- Key Laboratory on Assisted Circulation Ministry of Health Guangzhou China
- Department of Cardiovascular Medicine People’s Hospital of Macheng City Macheng China
| | - Zhu‐Yu Li
- Department of Obstetrics and Gynecology The First Affiliated Hospital, Sun Yat‐Sen University Guangzhou China
| | - Li‐ping Qu
- Department of Cardiology The First Affiliated Hospital, Sun Yat‐Sen University Guangzhou China
- Key Laboratory on Assisted Circulation Ministry of Health Guangzhou China
| | - Yu‐He Jia
- Cardiac Arrhythmia Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing People’s Republic of China
| | - Yun‐Jiu Cheng
- Department of Cardiology The First Affiliated Hospital, Sun Yat‐Sen University Guangzhou China
- Key Laboratory on Assisted Circulation Ministry of Health Guangzhou China
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences Guangzhou China
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14
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Ye M, Zhang JW, Liu J, Zhang M, Yao FJ, Cheng YJ. Association Between Dynamic Change of QT Interval and Long-Term Cardiovascular Outcomes: A Prospective Cohort Study. Front Cardiovasc Med 2021; 8:756213. [PMID: 34917661 PMCID: PMC8669365 DOI: 10.3389/fcvm.2021.756213] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 10/20/2021] [Indexed: 11/24/2022] Open
Abstract
Background: The prolongation or shortening of heart rate-corrected QT (QTc) predisposes patients to fatal ventricular arrhythmias and sudden cardiac death (SCD), but the association of dynamic change of QTc interval with mortality in the general population remains unclear. Methods: A total of 11,798 middle-aged subjects from the prospective, population-based cohort were included in this analysis. The QTc interval corrected for heart rate was measured on two occasions around 3 years apart in the Atherosclerosis Risk in Communities (ARIC) study. The ΔQTc interval was calculated by evaluating a change in QTc interval from visit 1 to visit 2. Results: After a median follow-up of 19.5 years, the association between the dynamic change of QTc interval and endpoints of death was U-shaped. The multivariate-adjusted hazard ratios (HRs) comparing subjects above the 95th percentile of Framingham–corrected ΔQTc (ΔQTcF) (≥32 ms) with subjects in the middle quintile (0–8 ms) were 2.69 (95% CI, 1.68–4.30) for SCD, 2.51 (1.68–3.74) for coronary heart disease death, 2.10 (1.50–2.94) for cardiovascular death, and 1.30 (1.11–1.55) for death from any cause. The corresponding HRs comparing subjects with a ΔQTcF below the fifth percentile (<-23 ms) with those in the middle quintile were 1.82 (1.09–3.05) for SCD, 1.83 (1.19–2.81) for coronary heart disease death, 2.14 (1.51–2.96) for cardiovascular death, and 1.31 (1.11–1.56) for death from any cause. Less extreme deviations of ΔQTcF were also associated with an increased risk of death. Similar, albeit weaker associations also were observed with ΔQTc corrected with Bazett's formula. Conclusions: A dynamic change of QTc interval is associated with increased mortality risk in the general population, indicating that repeated measurements of the QTc interval may be available to provide additional prognostic information.
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Affiliation(s)
- Min Ye
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.,Key Laboratory of Assisted Circulation, National Health Commission (NHC), Guangzhou, China.,Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jing-Wei Zhang
- Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jia Liu
- Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Ming Zhang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Feng-Juan Yao
- Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yun-Jiu Cheng
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.,Key Laboratory of Assisted Circulation, National Health Commission (NHC), Guangzhou, China
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