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Yang H, Wang J, Li Y, Zhao M, Magnussen CG, Xi B. Trends in Cardiovascular Health Among US Adolescents Aged 12-19 Years Using the New "Life's Essential 8" Metrics, 2007-2018. J Adolesc Health 2024:S1054-139X(24)00161-7. [PMID: 38739053 DOI: 10.1016/j.jadohealth.2024.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 02/28/2024] [Accepted: 03/06/2024] [Indexed: 05/14/2024]
Abstract
PURPOSE The American Heart Association recently issued a substantial update to the definition and scoring of cardiovascular health (CVH), now called "Life's Essential 8" (LE8). We aimed to assess the trends in overall and individual LE8 CVH metrics among adolescents in the United States. METHODS A total of 6,999 United States adolescents aged 12-19 years from six cycles of the National Health and Nutrition Examination Survey from 2007-2008 to 2017-2018 were included in this study. The individual LE8 metrics included diet, physical activity, nicotine exposure, sleep health, body mass index (BMI), blood lipids, blood glucose, and blood pressure (BP). A higher CVH score indicates better CVH health. RESULTS The mean score of overall CVH significantly increased from 72.8 (95% confidence interval: 71.2-74.3) in 2007-2008 to 77.3 (76.1-78.5) in 2017-2018 in US adolescents (p-trend < .001). From 2007-2008 to 2017-2018, the mean scores increased from 75.5 (72.0-79.1) to 90.0 (88.0-91.9) for nicotine exposure, from 65.2 (61.6-68.8) to 73.3 (69.9-76.8) for sleep health, from 69.9 (67.1-72.8) to 73.0 (69.1-76.9) for blood lipids, and from 94.4 (93.0-95.9) to 96.2 (95.2-97.3) for BP (all p-trend < .05). However, the mean scores for diet, physical activity, and blood glucose did not significantly change (all p-trend > .05), whereas the mean score decreased from 81.4 (78.9-84.0) to 78.6 (76.4-80.8) for BMI (p-trend = .023). DISCUSSION In United States adolescents, the overall CVH and four components (nicotine exposure, sleep health, blood lipids, and BP) significantly improved over time, diet, physical activity, and blood glucose remained unchanged, whereas BMI worsened.
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Affiliation(s)
- Hui Yang
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jiaxiang Wang
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yanzhi Li
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Research Center of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
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Wu F, Jacobs DR, Daniels SR, Kähönen M, Woo JG, Sinaiko AR, Viikari JSA, Bazzano LA, Steinberger J, Urbina EM, Venn AJ, Raitakari OT, Dwyer T, Juonala M, Magnussen CG. Non-High-Density Lipoprotein Cholesterol Levels From Childhood to Adulthood and Cardiovascular Disease Events. JAMA 2024:2817700. [PMID: 38607340 DOI: 10.1001/jama.2024.4819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
Importance Elevated non-high-density lipoprotein cholesterol (non-HDL-C; a recommended measure of lipid-related cardiovascular risk) is common in children and increases risk of adult cardiovascular disease (CVD). Whether resolution of elevated childhood non-HDL-C levels by adulthood is associated with reduced risk of clinical CVD events is unknown. Objective To examine the associations of non-HDL-C status between childhood and adulthood with incident CVD events. Design, Setting, and Participants Individual participant data from 6 prospective cohorts of children (mean age at baseline, 10.7 years) in the US and Finland. Recruitment took place between 1970 and 1996, with a final follow-up in 2019. Exposures Child (age 3-19 years) and adult (age 20-40 years) non-HDL-C age- and sex-specific z scores and categories according to clinical guideline-recommended cutoffs for dyslipidemia. Main Outcomes and Measures Incident fatal and nonfatal CVD events adjudicated by medical records. Results Over a mean length of follow-up of 8.9 years after age 40 years, 147 CVD events occurred among 5121 participants (60% women; 15% Black). Both childhood and adult non-HDL-C levels were associated with increased risk of CVD events (hazard ratio [HR], 1.42 [95% CI, 1.18-1.70] and HR, 1.50 [95% CI, 1.26-1.78] for a 1-unit increase in z score, respectively), but the association for childhood non-HDL-C was reduced when adjusted for adult levels (HR, 1.12 [95% CI, 0.89-1.41]). A complementary analysis showed that both childhood non-HDL-C levels and the change between childhood and adulthood were independently associated with the outcome, suggesting that from a preventive perspective, both childhood non-HDL-C levels and the change into adulthood are informative. Compared with those whose non-HDL-C levels remained within the guideline-recommended range in childhood and adulthood, participants who had incident non-HDL-C dyslipidemia from childhood to adulthood and those with persistent dyslipidemia had increased risks of CVD events (HR, 2.17 [95% CI, 1.00-4.69] and HR, 5.17 [95% CI, 2.80-9.56], respectively). Individuals who had dyslipidemic non-HDL-C in childhood but whose non-HDL-C levels were within the guideline-recommended range in adulthood did not have a significantly increased risk (HR, 1.13 [95% CI, 0.50-2.56]). Conclusions and Relevance Individuals with persistent non-HDL-C dyslipidemia from childhood to adulthood had an increased risk of CVD events, but those in whom dyslipidemic non-HDL-C levels resolve by adulthood have similar risk to individuals who were never dyslipidemic. These findings suggest that interventions to prevent and reduce elevated childhood non-HDL-C levels may help prevent premature CVD.
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Affiliation(s)
- Feitong Wu
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, Faculty of Medicine, Dentistry, and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis
| | - Stephen R Daniels
- Department of Pediatrics, University of Colorado School of Medicine, Children's Hospital Colorado, Aurora
| | - Mika Kähönen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | - Jessica G Woo
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | | | - Jorma S A Viikari
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Lydia A Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Julia Steinberger
- Department of Pediatrics, University of Minnesota School of Medicine, Minneapolis
| | - Elaine M Urbina
- The Heart Institute, Cincinnati Children's Hospital Medical Center, and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Alison J Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- InFLAMES Research Flagship, University of Turku, Turku, Finland
| | - Terence Dwyer
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
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Stanesby O, Armstrong MK, Otahal P, Goode JP, Fraser BJ, Negishi K, Kidokoro T, Winzenberg T, Juonala M, Wu F, Kelly RK, Xi B, Viikari JSA, Raitakari OT, Daniels SR, Tomkinson GR, Magnussen CG. Tracking of serum lipid levels from childhood to adulthood: Systematic review and meta-analysis. Atherosclerosis 2024; 391:117482. [PMID: 38569384 DOI: 10.1016/j.atherosclerosis.2024.117482] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 02/15/2024] [Accepted: 02/15/2024] [Indexed: 04/05/2024]
Abstract
BACKGROUND AND AIMS The utility of lipid screening in pediatric settings for preventing adult atherosclerotic cardiovascular diseases partly depends on the lifelong tracking of lipid levels. This systematic review aimed to quantify the tracking of lipid levels from childhood and adolescence to adulthood. METHODS We systematically searched MEDLINE, Embase, Web of Science, and Google Scholar in March 2022. The protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO; ID: CRD42020208859). We included cohort studies that measured tracking of lipids from childhood or adolescence (<18 years) to adulthood (≥18) with correlation or tracking coefficients. We estimated pooled correlation and tracking coefficients using random-effects meta-analysis. Risk of bias was assessed with a review-specific tool. RESULTS Thirty-three studies of 19 cohorts (11,020 participants) were included. The degree of tracking from childhood and adolescence to adulthood differed among lipids. Tracking was observed for low-density lipoprotein cholesterol (pooled r = 0.55-0.65), total cholesterol (pooled r = 0.51-0.65), high-density lipoprotein cholesterol (pooled r = 0.46-0.57), and triglycerides (pooled r = 0.32-0.40). Only one study included tracking of non-high-density lipoprotein cholesterol (r = 0.42-0.59). Substantial heterogeneity was observed. Study risk of bias was moderate, mostly due to insufficient reporting and singular measurements at baseline and follow-up. CONCLUSIONS Early-life lipid measurements are important for predicting adult levels. However, further research is needed to understand the tracking of non-high-density lipoprotein cholesterol and the stability of risk classification over time, which may further inform pediatric lipid screening and assessment strategies.
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Affiliation(s)
- Oliver Stanesby
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute, Melbourne, Australia
| | | | - Petr Otahal
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - James P Goode
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Brooklyn J Fraser
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Kazuaki Negishi
- Sydney Medical School Nepean, Faculty of Medicine and Health, Charles Perkins Centre Nepean, The University of Sydney, Sydney, Australia; Nepean Hospital, Sydney, Australia
| | - Tetsuhiro Kidokoro
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia; Faculty of Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Tania Winzenberg
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland
| | - Feitong Wu
- Baker Heart and Diabetes Institute, Melbourne, Australia; Baker Department of Cardiometabolic Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
| | - Rebecca K Kelly
- School of Medicine, University of Tasmania, Hobart, Australia
| | - Bo Xi
- Department of Epidemiology, School of Public Health/Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jorma S A Viikari
- Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Stephen R Daniels
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Grant R Tomkinson
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland.
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Stanesby O, Zhou Z, Fonseca R, Kidokoro T, Otahal P, Fraser BJ, Wu F, Juonala M, Viikari JSA, Raitakari OT, Tomkinson GR, Magnussen CG. Correction to: Tracking of apolipoprotein B levels measured in childhood and adolescence: systematic review and meta-analysis. Eur J Pediatr 2024; 183:1965. [PMID: 38294516 PMCID: PMC11001728 DOI: 10.1007/s00431-024-05445-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Affiliation(s)
- Oliver Stanesby
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Zhen Zhou
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | | | - Tetsuhiro Kidokoro
- Research Institute for Health and Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Petr Otahal
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Brooklyn J Fraser
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Feitong Wu
- Baker Heart and Diabetes Institute, Melbourne, Australia
- Baker Department of Cardiometabolic Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Jorma S A Viikari
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turkuand, Turku University Hospital, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Grant R Tomkinson
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Australia.
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
- Centre for Population Health Research, University of Turkuand, Turku University Hospital, Turku, Finland.
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Goode JP, Smith KJ, Breslin M, Kilpatrick M, Dwyer T, Venn AJ, Magnussen CG. Modelling the replacement of red and processed meat with plant-based alternatives and the estimated effect on insulin sensitivity in a cohort of Australian adults. Br J Nutr 2024; 131:1084-1094. [PMID: 37981891 PMCID: PMC10876457 DOI: 10.1017/s0007114523002659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 11/12/2023] [Accepted: 11/15/2023] [Indexed: 11/21/2023]
Abstract
Dietary guidelines are increasingly promoting mostly plant-based diets, limits on red meat consumption, and plant-based sources of protein for health and environmental reasons. It is unclear how the resulting food substitutions associate with insulin resistance, a risk factor for type 2 diabetes. We modelled the replacement of red and processed meat with plant-based alternatives and the estimated effect on insulin sensitivity. We included 783 participants (55 % female) from the Childhood Determinants of Adult Health study, a population-based cohort of Australians. In adulthood, diet was assessed at three time points using FFQ: 2004–2006, 2009–2011 and 2017–2019. We calculated the average daily intake of each food group in standard serves. Insulin sensitivity was estimated from fasting glucose and insulin concentrations in 2017–2019 (aged 39–49 years) using homoeostasis model assessment. Replacing red meat with a combination of plant-based alternatives was associated with higher insulin sensitivity (β = 10·5 percentage points, 95 % CI (4·1, 17·4)). Adjustment for waist circumference attenuated this association by 61·7 %. Replacing red meat with either legumes, nuts/seeds or wholegrains was likewise associated with higher insulin sensitivity. Point estimates were similar but less precise when replacing processed meat with plant-based alternatives. Our modelling suggests that regularly replacing red meat, and possibly processed meat, with plant-based alternatives may associate with higher insulin sensitivity. Further, abdominal adiposity may be an important mediator in this relationship. Our findings support advice to prioritise plant-based sources of protein at the expense of red meat consumption.
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Affiliation(s)
- James P. Goode
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS7000, Australia
| | - Kylie J. Smith
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS7000, Australia
| | - Monique Breslin
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS7000, Australia
| | - Michelle Kilpatrick
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS7000, Australia
| | - Terence Dwyer
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS7000, Australia
- Heart Research Group, Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, UK
| | - Alison J. Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS7000, Australia
| | - Costan G. Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS7000, Australia
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Centre for Population Health Research, University of Turku, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
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Raitakari OT, Magnussen CG, Juonala M, Kartiosuo N, Pahkala K, Rovio S, Koskinen JS, Mykkänen J, Laitinen TP, Kähönen M, Nuotio J, Viikari JSA. Subclinical atherosclerosis in young adults predicting cardiovascular disease: The Cardiovascular Risk in Young Finns Study. Atherosclerosis 2024:117515. [PMID: 38582639 DOI: 10.1016/j.atherosclerosis.2024.117515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 03/05/2024] [Accepted: 03/07/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND AND AIMS Atherosclerosis is accompanied by pre-clinical vascular changes that can be detected using ultrasound imaging. We examined the value of such pre-clinical features in identifying young adults who are at risk of developing atherosclerotic cardiovascular disease (ASCVD). METHODS A total of 2641 individuals free of ASCVD were examined at the mean age of 32 years (range 24-45 years) for carotid artery intima-media thickness (IMT) and carotid plaques, carotid artery elasticity, and brachial artery flow-mediated endothelium-dependent vasodilation (FMD). The average follow-up time to event/censoring was 16 years (range 1-17 years). RESULTS Sixty-seven individuals developed ASCVD (incidence 2.5%). The lowest incidence (1.1%) was observed among those who were estimated of having low risk according to the SCORE2 risk algorithm (<2.5% 10-year risk) and who did not have plaque or high IMT (upper decile). The highest incidence (11.0%) was among those who were estimated of having a high risk (≥2.5% 10-year risk) and had positive ultrasound scan for carotid plaque and/or high IMT (upper decile). Carotid plaque and high IMT remained independently associated with higher risk in multivariate models. The distributions of carotid elasticity indices and brachial FMD did not differ between cases and non-cases. CONCLUSIONS Screening for carotid plaque and high IMT in young adults may help identify individuals at high risk for future ASCVD.
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Affiliation(s)
- Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520, Turku, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, 20520, Turku, Finland.
| | - Costan G Magnussen
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520, Turku, Finland; Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland
| | - Noora Kartiosuo
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520, Turku, Finland; Department of Mathematics and Statistics, University of Turku, Turku, Finland
| | - Katja Pahkala
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520, Turku, Finland; Paavo Nurmi Centre and Unit for Health and Physical Activity, University of Turku, 20520, Turku, Finland
| | - Suvi Rovio
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520, Turku, Finland; Department of Public Health, University of Turku and Turku University Hospital, 20520, Turku, Finland
| | - Juhani S Koskinen
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520, Turku, Finland; Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland
| | - Juha Mykkänen
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520, Turku, Finland
| | - Tomi P Laitinen
- Department of Clinical Physiology and Nuclear Medicine Kuopio University Hospital, Kuopio, Finland; Institute of Clinical Medicine University of Eastern Finland, Kuopio, Finland
| | - Mika Kähönen
- Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland; Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | - Joel Nuotio
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520, Turku, Finland; Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Jorma S A Viikari
- Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland
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7
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Pihlman J, Magnussen CG, Laitinen TT, Ruohonen S, Pahkala K, Jokinen E, Laitinen TP, Hutri-Kähönen N, Tossavainen P, Taittonen L, Kähönen M, Viikari JSA, Raitakari OT, Juonala M, Nuotio J. Association of number of siblings with preclinical markers of cardiovascular disease. The cardiovascular risk in Young Finns study. Int J Cardiol Cardiovasc Risk Prev 2024; 20:200227. [PMID: 38115890 PMCID: PMC10726240 DOI: 10.1016/j.ijcrp.2023.200227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 11/30/2023] [Indexed: 12/21/2023]
Abstract
To investigate the association of number of siblings with preclinical cardiovascular disease (CVD) markers in adulthood. The sample comprised 2776 participants (54 % female) from the Cardiovascular Risk in Young Finns Study who had CVD risk factor data measured in childhood in 1980 (aged 3-18 years) and markers of preclinical CVD measured in adulthood. Echocardiography was performed in 2011, and carotid intima-media thickness, carotid distensibility, brachial flow-mediated dilatation, and arterial pulse wave velocity were measured in 2001 or 2007. The association between the number of siblings and preclinical CVD was assessed using generalized linear and logistic regression models. Analyses were stratified by sex as associations differed between sexes. Women with 1 sibling had lower E/e'-ratio (4.9, [95%CI 4.8-5.0]) in echocardiography compared with those without siblings (5.1[4.9-5.2]) and those with ≥2 more siblings (5.1[5.0-5.2]) (P for trend 0.01). Men without siblings had the lowest E/A-ratio (1.4[1.3-1.5]) compared with those with 1 sibling (1.5[1.5-1.5]), or ≥2 siblings (1.5[1.5-1.5]) (P for trend 0.01). Women without siblings had highest left ventricular ejection fraction (59.2 %[58.6-59.7 %]) compared with those with 1 sibling (59.1 %[58.8-59.4 %]), or ≥2 siblings (58.4 %[58.1-58.8 %])(P for trend 0.01). In women, brachial flow-mediated dilatation, a measure of endothelial function, was the lowest among participants with ≥2 siblings (9.4 %[9.0-9.8 %]) compared with those with 1 sibling (10.0 %[9.6-10.3 %]) and those without siblings (10.4 %[9.7-11.0 %])(P for trend 0.03). We observed that number of siblings may be associated with increased risk of heart failure in women. As the associations were somewhat inconsistent in males and females, further research is warranted.
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Affiliation(s)
- Jukka Pihlman
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Costan G. Magnussen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Tomi T. Laitinen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Saku Ruohonen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Paavo Nurmi Centre, Sports & Exercise Medicine Unit, Department of Physical Activity and Health, University of Turku, Turku, Finland
| | - Eero Jokinen
- Department of Paediatric Cardiology, Hospital for Children and Adolescents, University of Helsinki, Helsinki, Finland
| | - Tomi P. Laitinen
- Department of Clinical Physiology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Nina Hutri-Kähönen
- Department of Pediatrics, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Päivi Tossavainen
- Department of Pediatrics and Adolescent Medicine, Oulu University Hospital, MRC Oulu and Research Unit of Clinical Medicine, University of Oulu, Finland
| | - Leena Taittonen
- Department of Pediatrics and Adolescent Medicine, Oulu University Hospital, MRC Oulu and Research Unit of Clinical Medicine, University of Oulu, Finland
- Vaasa Central Hospital, Vaasa, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jorma SA. Viikari
- Department of Internal Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Olli T. Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Finland
| | - Markus Juonala
- Department of Internal Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Joel Nuotio
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Heart Center, Turku University Hospital and University of Turku, Turku, Finland
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8
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Stanesby O, Zhou Z, Fonseca R, Kidokoro T, Otahal P, Fraser BJ, Wu F, Juonala M, Viikari JSA, Raitakari OT, Tomkinson GR, Magnussen CG. Tracking of apolipoprotein B levels measured in childhood and adolescence: systematic review and meta-analysis. Eur J Pediatr 2024; 183:569-580. [PMID: 38051379 PMCID: PMC10912277 DOI: 10.1007/s00431-023-05350-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 11/13/2023] [Accepted: 11/22/2023] [Indexed: 12/07/2023]
Abstract
To quantify the tracking of apolipoprotein B (apoB) levels from childhood and adolescence and compare the tracking of apoB with low-density lipoprotein (LDL) cholesterol, a systematic search of MEDLINE, Embase, Web of Science, and Google Scholar was performed in October 2023 (PROSPERO protocol: CRD42022298663). Cohort studies that measured tracking of apoB from childhood/adolescence (< 19 years) with a minimum follow-up of 1 year, using tracking estimates such as correlation coefficients or tracking coefficients, were eligible. Pooled correlations were estimated using random-effects meta-analysis. Risk of bias was assessed with a review-specific tool. Ten studies of eight unique cohorts involving 4677 participants met the inclusion criteria. Tracking of apoB was observed (pooled r = 0.63; 95% confidence interval [CI] = 0.53-0.71; I2 = 96%) with no significant sources of heterogeneity identified. Data from five cohorts with tracking data for both lipids showed the degree of tracking was similar for apoB (pooled r = 0.59; 95% CI = 0.55-0.63) and LDL cholesterol (pooled r = 0.58; 95% CI = 0.47-0.68). Study risk of bias was moderate, mostly due to attrition and insufficient reporting. CONCLUSION ApoB levels track strongly from childhood, but do not surpass LDL cholesterol in this regard. While there is strong evidence that apoB is more effective at predicting ASCVD risk than LDL cholesterol in adults, there is currently insufficient evidence to support its increased utility in pediatric settings. This also applies to tracking data, where more comprehensive data are required. WHAT IS KNOWN • Apolipoprotein B is a known cause of atherosclerotic cardiovascular disease. • Apolipoprotein B levels are not typically measured in pediatric settings, where low-density lipoprotein cholesterol remains the primary lipid screening measure. WHAT IS NEW • This meta-analysis of 10 studies showed apolipoprotein B levels tracked strongly from childhood but did not exceed low-density lipoprotein cholesterol in this regard. • More comprehensive tracking data are needed to provide sufficient evidence for increased utility of apolipoprotein B in pediatric settings.
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Affiliation(s)
- Oliver Stanesby
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Zhen Zhou
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | | | - Tetsuhiro Kidokoro
- Research Institute for Health and Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Petr Otahal
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Brooklyn J Fraser
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Feitong Wu
- Baker Heart and Diabetes Institute, Melbourne, Australia
- Baker Department of Cardiometabolic Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Jorma S A Viikari
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turkuand, Turku University Hospital, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Grant R Tomkinson
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Australia.
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
- Centre for Population Health Research, University of Turkuand, Turku University Hospital, Turku, Finland.
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9
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Meng Y, Sharman JE, Koskinen JS, Juonala M, Viikari JSA, Buscot MJ, Wu F, Fraser BJ, Rovio SP, Kähönen M, Rönnemaa T, Jula A, Niinikoski H, Raitakari OT, Pahkala K, Magnussen CG. Blood Pressure at Different Life Stages Over the Early Life Course and Intima-Media Thickness. JAMA Pediatr 2024; 178:133-141. [PMID: 38048127 PMCID: PMC10696511 DOI: 10.1001/jamapediatrics.2023.5351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 09/17/2023] [Indexed: 12/05/2023]
Abstract
Importance Although cardiovascular disease (CVD) begins in early life, the extent to which blood pressure (BP) at different life stages contributes to CVD is unclear. Objective To determine the relative contribution of BP at different life stages across the early-life course from infancy to young adulthood with carotid intima-media thickness (IMT). Design, setting, and participants The analyses were performed in 2022 using data gathered from July 1989 through January 2018 within the Special Turku Coronary Risk Factor Intervention Project, a randomized, infancy-onset cohort of 534 participants coupled with annual BP (from age 7 months to 20 years), biennial IMT measurements (from ages 13 to 19 years), who were followed up with again at age 26 years. Exposures BP measured from infancy (aged 7 to 13 months), preschool (2 to 5 years), childhood (6 to 12 years), adolescence (13 to 17 years), and young adulthood (18 to 26 years). Main outcomes and measures Primary outcomes were carotid IMT measured in young adulthood at age 26 years. Bayesian relevant life-course exposure models assessed the relative contribution of BP at each life stage. Results Systolic BP at each life stage contributed to the association with young adulthood carotid IMT (infancy: relative weight, 25.3%; 95% credible interval [CrI], 3.6-45.8; preschool childhood: relative weight, 27.0%; 95% CrI, 3.3-57.1; childhood: relative weight, 18.0%; 95% CrI, 0.5-40.0; adolescence: relative weight, 13.5%; 95% CrI, 0.4-37.1; and young adulthood: relative weight, 16.2%; 95% CrI, 1.6-46.1). A 1-SD (at single life-stage) higher systolic BP accumulated across the life course was associated with a higher carotid IMT (0.02 mm; 95% CrI, 0.01-0.03). The findings for carotid IMT were replicated in the Cardiovascular Risk in Young Finns Study that assessed systolic BP from childhood and carotid IMT in adulthood (33 to 45 years). Conclusion and relevance In this cohort study, a life-course approach indicated that accumulation of risk exposure to BP levels at all life stages contributed to adulthood carotid IMT. Of those, the contribution attributed to each observed life stage was approximately equal. These results support prevention efforts that achieve and maintain normal BP levels across the life course, starting in infancy.
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Affiliation(s)
- Yaxing Meng
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
- Baker Department of Cardiometabolic Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - James E. Sharman
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Juhani S. Koskinen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
- Department of Medicine, Satakunta Central Hospital, Pori, Finland
| | - Markus Juonala
- Division of Medicine, Turku University Hospital, Turku, Finland
- Department of Medicine, University of Turku, Turku, Finland
| | - Jorma S. A. Viikari
- Division of Medicine, Turku University Hospital, Turku, Finland
- Department of Medicine, University of Turku, Turku, Finland
| | - Marie-Jeanne Buscot
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Feitong Wu
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Brooklyn J. Fraser
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia
| | - Suvi P. Rovio
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Tapani Rönnemaa
- Division of Medicine, Turku University Hospital, Turku, Finland
- Department of Medicine, University of Turku, Turku, Finland
| | - Antti Jula
- Department of Chronic Disease Prevention, Institute for Health and Welfare, Turku, Finland
| | - Harri Niinikoski
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Department of Pediatrics and Adolescent Medicine, Turku University Hospital, University of Turku, Turku, Finland
| | - Olli T. Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, University of Turku, Turku, Finland
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Paavo Nurmi Centre, Unit of Health and Physical Activity, University of Turku, Turku, Finland
| | - Costan G. Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
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10
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Yang R, Yang H, Sun J, Zhao M, Magnussen CG, Xi B. Association between secondhand smoke exposure across the life course and depressive symptoms among Chinese older adults. J Affect Disord 2024; 346:214-220. [PMID: 37952910 DOI: 10.1016/j.jad.2023.11.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 10/24/2023] [Accepted: 11/09/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND There are limited data on the association between secondhand smoke (SHS) exposure across the life course and depressive symptoms among older adults. We aimed to investigate the association of childhood household SHS exposure, adulthood household SHS exposure, lifetime social SHS exposure, and their coexistence with depressive symptoms in older adults. METHODS Data were from the 2011-2012 and 2014 waves of the Chinese Longitudinal Healthy Longevity Survey. About 4000 participants (aged 60 years or older) were recruited in a randomly selected half of the counties and cities in China. Data on SHS exposure, past-year depressive symptoms, and covariates were collected using a questionnaire. The chi-square test (for categorical variables) and t-test (for continuous variables) were used to assess differences in the participant characteristics across groups of SHS exposures. We estimated the odds ratios (ORs) and 95 % confidence intervals (CIs) of depressive symptom according to different types of SHS exposure. RESULTS Childhood household SHS exposure (OR = 1.42, 95%CI = 1.22-1.66), adulthood household SHS exposure (OR = 1.41, 95%CI = 1.21-1.63) and lifetime social SHS exposure (OR = 1.35, 95%CI = 1.14-1.58) were associated with higher odds of depressive symptoms. Additionally, those with a higher SHS exposure score had higher odds of depressive symptoms (1 point: OR = 1.56, 95%CI = 1.22-2.00; 2 points: OR = 1.77, 95%CI = 1.39-2.25; 3 points: OR = 1.83, 95%CI = 1.45-2.31). The results were similar when stratified by lifetime nonsmoking, former smoking, and current smoking. LIMITATIONS Retrospective design may introduce recall bias. CONCLUSIONS SHS exposure was associated with higher odds of depressive symptoms in older adults, with the effect seeming to be addictive.
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Affiliation(s)
- Rong Yang
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Hui Yang
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jiahong Sun
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Research Center of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
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11
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Pihlman J, Nuotio J, Rovio S, Pahkala K, Ruohonen S, Jokinen E, Laitinen TP, Burgner DP, Hutri-Kähönen N, Tossavainen P, Taittonen L, Kähönen M, Viikari JSA, Raitakari OT, Magnussen CG, Juonala M. Exposure to parental smoking and cardiac structure and function in adulthood: the Cardiovascular Risk in Young Finns Study. Scand J Public Health 2024; 52:15-23. [PMID: 36071613 DOI: 10.1177/14034948221119611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND AIMS The relationship between childhood tobacco smoke exposure and cardiac structure and function in midlife is unclear. We investigated the association between parental smoking with cardiac structure and function in adulthood. METHODS 1250 participants (56.5% female) from the Cardiovascular Risk in Young Finns Study who had data on parental smoking and/or serum cotinine, a biomarker of exposure to tobacco smoke, at baseline 1980 (age 3-18 years) and echocardiography performed in 2011. Parental smoking hygiene (i.e., smoking in the vicinity of children) was categorized by parental smoking and serum cotinine levels in offspring. Dimensions of the left ventricle, diastolic and systolic function, and cardiac remodeling were used as outcomes. Analyses were adjusted for sex, age, and covariates (blood pressure (BP), serum lipids, body mass index, socioeconomic status, smoking (only in adulthood)) in childhood and adulthood. RESULTS Parental smoking was not associated with systolic or diastolic function in adulthood. Participants exposed to parental smoking (odds ratio (OR) 1.90, 95%CI 1.23-2.92), hygienic parental smoking (OR 1.74, 95%CI 1.12-2.71), and non-hygienic parental smoking (OR 1.88, 95%CI 1.02-3.45) had higher odds of concentric remodeling (relative wall thickness >85th sex-specific percentile without left ventricular hypertrophy). These associations were attenuated after adjustment for child and adult covariates in the non-hygienic parental smoking group. CONCLUSIONS Exposure to parental smoking in childhood was associated with a higher likelihood of concentric remodeling and thicker left ventricular and interventricular septal walls in midlife, which was not improved by parents who smoked hygienically. Parental smoking was not related to systolic or diastolic function in this relatively young population.
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Affiliation(s)
- Jukka Pihlman
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Finland
| | - Joel Nuotio
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Finland
| | - Suvi Rovio
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Finland
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Finland
| | - Saku Ruohonen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Finland
| | - Eero Jokinen
- Department of Paediatric Cardiology, Hospital for Children and Adolescents, University of Helsinki, Finland
| | - Tomi P Laitinen
- Department of Clinical Physiology, University of Eastern Finland and Kuopio University Hospital, Finland
| | - David P Burgner
- Murdoch Children's Research Institute, The Royal Children's Hospital, Australia
- Department of Paediatrics, University of Melbourne, Australia
| | - Nina Hutri-Kähönen
- Department of Pediatrics, Faculty of Medicine and Health Technology, Tampere University, Finland
| | - Päivi Tossavainen
- Department of Pediatrics, PEDEGO Research Unit and Medical Research Center Oulu, University of Oulu, Finland
| | - Leena Taittonen
- Department of Pediatrics, PEDEGO Research Unit and Medical Research Center Oulu, University of Oulu, Finland
- Vaasa Central Hospital, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Faculty of Medicine and Health Technology, Tampere University, Finland
| | - Jorma S A Viikari
- Department of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Finland
| | - Costan G Magnussen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Finland
- Menzies Institute for Medical Research, University of Tasmania, Australia
| | - Markus Juonala
- Department of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Finland
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12
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Whitmore K, Zhou Z, Magnussen CG, Carrington MJ, Marwick TH. Influence of Repeated Plaque Visualization on Cardiovascular Risk Reduction after 3 years; a randomized controlled trial. Eur J Prev Cardiol 2024:zwae026. [PMID: 38243798 DOI: 10.1093/eurjpc/zwae026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/10/2024] [Accepted: 01/17/2024] [Indexed: 01/22/2024]
Abstract
AIMS Helping people to understand their cardiovascular (CV) risk can influence the choices they make for risk reduction, including medication adherence and lifestyle modification. This study sought whether repeated visualization of coronary artery calcium (CAC) images was effective in sustaining long-term risk control in primary prevention, independent of a risk reduction program. METHODS Asymptomatic, statin-naïve participants, 40-70 years, with a family history of premature coronary artery disease and a CAC score from 1-400 were randomised to a nurse-led CV risk reduction program or standard care with bi-annual reviews. Only the intervention group (220 of 449 participants) visualised their CAC image (with repeat exposure in the first 3 months) and were initiated on statin therapy. The primary outcome was change in Framingham Risk Score (FRS) at 36 months, and the impact of CAC image recall on CV risk was assessed. RESULTS The reduction in FRS (difference in differences (DID): -3.4% [95%CI: -4.4% to -2.4%], p=<0.001 and low-density-lipoprotein-cholesterol -1.2mmol/L [95%CI: -1.4 to -1.0], p=<0.001)) over 36 months was greater in the intervention than the control group. Within the intervention group, sustained recall of CAC images at 24 months was associated with lower systolic blood pressure (DID -4.3mmHg [95%CI: -7.7 to-0.9], p=0.01) and waist circumference (DID -2.0cm [95% CI: -3.9 to -0.1], p=0.03) at 36 months compared to unsustained recall. CONCLUSION A nurse-led program, combining personalized patient visualization of CAC imaging with statin therapy, is beneficial for improving CV risk. Recalling the presentation of CAC images through repeated visual exposure may influence risk reduction.
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Affiliation(s)
- Kristyn Whitmore
- Baker Department of Cardiometabolic Health, The University of Melbourne, Victoria Australia
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, Victoria, 3004
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, Tasmania, 7000
| | - Zhen Zhou
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Victoria, 3004
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, Victoria, 3004
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Melinda J Carrington
- Baker Department of Cardiometabolic Health, The University of Melbourne, Victoria Australia
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, Victoria, 3004
| | - Thomas H Marwick
- Baker Department of Cardiometabolic Health, The University of Melbourne, Victoria Australia
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, Victoria, 3004
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, Tasmania, 7000
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13
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Wu F, Juonala M, Jacobs DR, Daniels SR, Kähönen M, Woo JG, Sinaiko AR, Viikari JSA, Bazzano LA, Burns TL, Steinberger J, Urbina EM, Venn AJ, Raitakari OT, Dwyer T, Magnussen CG. Childhood Non-HDL Cholesterol and LDL Cholesterol and Adult Atherosclerotic Cardiovascular Events. Circulation 2024; 149:217-226. [PMID: 38014550 DOI: 10.1161/circulationaha.123.064296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 10/30/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND Although low-density lipoprotein cholesterol (LDL-C) remains the primary cholesterol target in clinical practice in children and adults, non-high-density lipoprotein cholesterol (non-HDL-C) has been suggested as a more accurate measure of atherosclerotic cardiovascular disease (ASCVD) risk. We examined the associations of childhood non-HDL-C and LDL-C levels with adult ASCVD events and determined whether non-HDL-C has better utility than LDL-C in predicting adult ASCVD events. METHODS This prospective cohort study included 21 126 participants from the i3C Consortium (International Childhood Cardiovascular Cohorts). Proportional hazards regressions were used to estimate the risk for incident fatal and fatal/nonfatal ASCVD events associated with childhood non-HDL-C and LDL-C levels (age- and sex-specific z scores; concordant/discordant categories defined by guideline-recommended cutoffs), adjusted for sex, Black race, cohort, age at and calendar year of child measurement, body mass index, and systolic blood pressure. Predictive utility was determined by the C index. RESULTS After an average follow-up of 35 years, 153 fatal ASCVD events occurred in 21 126 participants (mean age at childhood visits, 11.9 years), and 352 fatal/nonfatal ASCVD events occurred in a subset of 11 296 participants who could be evaluated for this outcome. Childhood non-HDL-C and LDL-C levels were each associated with higher risk of fatal and fatal/nonfatal ASCVD events (hazard ratio ranged from 1.27 [95% CI, 1.14-1.41] to 1.35 [95% CI, 1.13-1.60] per unit increase in the risk factor z score). Non-HDL-C had better discriminative utility than LDL-C (difference in C index, 0.0054 [95% CI, 0.0006-0.0102] and 0.0038 [95% CI, 0.0008-0.0068] for fatal and fatal/nonfatal events, respectively). The discordant group with elevated non-HDL-C and normal LDL-C had a higher risk of ASCVD events compared with the concordant group with normal non-HDL-C and LDL-C (fatal events: hazard ratio, 1.90 [95% CI, 0.98-3.70]; fatal/nonfatal events: hazard ratio, 1.94 [95% CI, 1.23-3.06]). CONCLUSIONS Childhood non-HDL-C and LDL-C levels are associated with ASCVD events in midlife. Non-HDL-C is better than LDL-C in predicting adult ASCVD events, particularly among individuals who had normal LDL-C but elevated non-HDL-C. These findings suggest that both non-HDL-C and LDL-C are useful in identifying children at higher risk of ASCVD events, but non-HDL-C may provide added prognostic information when it is discordantly higher than the corresponding LDL-C and has the practical advantage of being determined without a fasting sample.
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Affiliation(s)
- Feitong Wu
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (F.W., A.J.V., T.D., C.G.M.)
- Baker Heart and Diabetes Institute, Melbourne, Australia (F.W., C.G.M.)
- Baker Department of Cardiometabolic Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Australia (F.W.)
| | - Markus Juonala
- Department of Medicine, University of Turku, Finland (M.J., J.S.J.V.)
- Division of Medicine, Turku University Hospital, Finland (M.J., J.S.J.V.)
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (D.R.J.)
| | - Stephen R Daniels
- Department of Pediatrics, University of Colorado School of Medicine, Children's Hospital Colorado, Aurora (S.R.D.)
| | - Mika Kähönen
- Faculty of Medicine and Health Technology, Tampere University, Finland (M.K.)
- Department of Clinical Physiology, Tampere University Hospital, Finland (M.K.)
| | - Jessica G Woo
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, and Department of Pediatrics, University of Cincinnati College of Medicine, OH (J.G.W.)
| | - Alan R Sinaiko
- University of Minnesota Medical School, Minneapolis (A.R.S.)
| | - Jorma S A Viikari
- Department of Medicine, University of Turku, Finland (M.J., J.S.J.V.)
- Division of Medicine, Turku University Hospital, Finland (M.J., J.S.J.V.)
| | - Lydia A Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA (L.A.B.)
| | - Trudy L Burns
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.)
| | - Julia Steinberger
- Department of Pediatrics, University of Minnesota School of Medicine, Minneapolis (J.S.)
| | - Elaine M Urbina
- The Heart Institute, Cincinnati Children's Hospital Medical Center, and Department of Pediatrics, University of Cincinnati College of Medicine, OH (E.M.U.)
| | - Alison J Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (F.W., A.J.V., T.D., C.G.M.)
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Finland (O.T.R., C.G.M.)
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Finland (O.T.R., C.G.M.)
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Finland (O.T.R.)
- InFLAMES Research Flagship, University of Turku, Finland (O.T.R.)
| | - Terence Dwyer
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (F.W., A.J.V., T.D., C.G.M.)
- The Nuffield Department of Women's & Reproductive Health, University of Oxford, UK (T.D.)
- Murdoch Children's Research Institute, Melbourne, Australia (T.D.)
| | - Costan G Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (F.W., A.J.V., T.D., C.G.M.)
- Baker Heart and Diabetes Institute, Melbourne, Australia (F.W., C.G.M.)
- Centre for Population Health Research, University of Turku and Turku University Hospital, Finland (O.T.R., C.G.M.)
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Finland (O.T.R., C.G.M.)
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14
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Lehtovirta M, Pahkala K, Rovio SP, Magnussen CG, Laitinen TT, Niinikoski H, Lagström H, Viikari JSA, Rönnemaa T, Jula A, Ala-Korpela M, Raitakari OT. Association of tobacco smoke exposure with metabolic profile from childhood to early adulthood: the Special Turku Coronary Risk Factor Intervention Project. Eur J Prev Cardiol 2024; 31:103-115. [PMID: 37655930 DOI: 10.1093/eurjpc/zwad285] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 08/04/2023] [Accepted: 08/29/2023] [Indexed: 09/02/2023]
Abstract
AIMS To investigate the associations between passive tobacco smoke exposure and daily smoking with a comprehensive metabolic profile, measured repeatedly from childhood to adulthood. METHODS AND RESULTS Study cohort was derived from the Special Turku Coronary Risk Factor Intervention Project (STRIP). Smoking status was obtained by questionnaire, while serum cotinine concentrations were measured using gas chromatography. Metabolic measures were quantified by nuclear magnetic resonance metabolomics at 9 (n = 539), 11 (n = 536), 13 (n = 525), 15 (n = 488), 17 (n = 455), and 19 (n = 409) years. Association of passive tobacco smoke exposure with metabolic profile compared participants who reported less-than-weekly smoking and had serum cotinine concentration <1 ng/mL (no exposure) with those whose cotinine concentration was ≥10 ng/mL (passive tobacco smoke exposure). Associations of daily smoking with metabolic profile in adolescence were analysed by comparing participants reporting daily smoking with those reporting no tobacco use and having serum cotinine concentrations <1 ng/mL. Passive tobacco smoke exposure was directly associated with the serum ratio of monounsaturated fatty acids to total fatty acids [β = 0.34 standard deviation (SD), (0.17-0.51), P < 0.0001] and inversely associated with the serum ratios of polyunsaturated fatty acids. Exposure to passive tobacco smoke was directly associated with very-low-density lipoprotein particle size [β = 0.28 SD, (0.12-0.45), P = 0.001] and inversely associated with HDL particle size {β = -0.21 SD, [-0.34 to -0.07], P = 0.003}. Daily smokers exhibited a similar metabolic profile to those exposed to passive tobacco smoke. These results persisted after adjusting for body mass index, STRIP study group allocation, dietary target score, pubertal status, and parental socio-economic status. CONCLUSION Both passive and active tobacco smoke exposures during childhood and adolescence are detrimentally associated with circulating metabolic measures indicative of increased cardio-metabolic risk.
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Affiliation(s)
- Miia Lehtovirta
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Kiinamyllynkatu 10, Turku FI-20520, Finland
- Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Kiinamyllynkatu 10, Turku FI-20520, Finland
- Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland
- Paavo Nurmi Centre, Unit for Health and Physical Activity, University of Turku, Turku, Finland
| | - Suvi P Rovio
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Kiinamyllynkatu 10, Turku FI-20520, Finland
- Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland
| | - Costan G Magnussen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Kiinamyllynkatu 10, Turku FI-20520, Finland
- Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Tomi T Laitinen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Kiinamyllynkatu 10, Turku FI-20520, Finland
- Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland
- Paavo Nurmi Centre, Unit for Health and Physical Activity, University of Turku, Turku, Finland
| | - Harri Niinikoski
- Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland
- Department of Pediatrics and Adolescent Medicine, Turku University Hospital, University of Turku, Turku, Finland
| | - Hanna Lagström
- Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland
- Department of Public Health, Turku University Hospital, University of Turku, Turku, Finland
| | - Jorma S A Viikari
- Division of Medicine, Turku University Hospital, Turku, Finland
- Department of Medicine, University of Turku, Turku, Finland
| | - Tapani Rönnemaa
- Division of Medicine, Turku University Hospital, Turku, Finland
- Department of Medicine, University of Turku, Turku, Finland
| | - Antti Jula
- Department of Chronic Disease Prevention, Institute for Health and Welfare, Turku, Finland
| | - Mika Ala-Korpela
- Systems Epidemiology, Research Unit of Population Health, Faculty of Medicine, University of Oulu & Biocenter Oulu, Oulu, Finland
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Kiinamyllynkatu 10, Turku FI-20520, Finland
- Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
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15
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Meng Y, Niinikoski H, Rovio SP, Fraser BJ, Wu F, Jula A, Rönnemaa T, Viikari JSA, Raitakari OT, Pahkala K, Magnussen CG. The Influence of Dietary Counseling Over 20 Years on Tracking of Non-High-Density Lipoprotein Cholesterol from Infancy to Young Adulthood. J Pediatr 2024; 264:113776. [PMID: 37839509 DOI: 10.1016/j.jpeds.2023.113776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 09/13/2023] [Accepted: 10/10/2023] [Indexed: 10/17/2023]
Abstract
This 26-year study found that non-high-density lipoprotein cholesterol (non-HDL-C) levels tracked from infancy to young adulthood suggesting early-life non-HDL-C could predict future levels. However, infancy-onset dietary counseling reduced the odds of maintaining at-risk non-HDL-C, highlighting the potential importance of early interventions in preventing cardiovascular risk associated with high pediatric non-HDL-C.
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Affiliation(s)
- Yaxing Meng
- Baker Heart and Diabetes Institute, Melbourne, Australia; Baker Department of Cardiometabolic Health, The University of Melbourne, Melbourne, Australia
| | - Harri Niinikoski
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland; Department of Pediatrics and Adolescent Medicine, Turku University Hospital, University of Turku, Turku, Finland
| | - Suvi P Rovio
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Brooklyn J Fraser
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Feitong Wu
- Baker Heart and Diabetes Institute, Melbourne, Australia; Baker Department of Cardiometabolic Health, The University of Melbourne, Melbourne, Australia
| | - Antti Jula
- Department of Chronic Disease Prevention, Institute for Health and Welfare, Turku, Finland
| | - Tapani Rönnemaa
- Division of Medicine, Turku University Hospital, Turku, Finland; Department of Medicine, University of Turku, Turku, Finland
| | - Jorma S A Viikari
- Division of Medicine, Turku University Hospital, Turku, Finland; Department of Medicine, University of Turku, Turku, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, University of Turku, Turku, Finland
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland; Paavo Nurmi Centre, Unit of Health and Physical Activity, University of Turku, Turku, Finland
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland.
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16
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Guo J, Fraser BJ, Blizzard L, Schmidt MD, Dwyer T, Venn AJ, Magnussen CG. Tracking of Cardiorespiratory Fitness from Childhood to Mid-adulthood. J Pediatr 2024; 264:113778. [PMID: 37848085 DOI: 10.1016/j.jpeds.2023.113778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 09/22/2023] [Accepted: 10/11/2023] [Indexed: 10/19/2023]
Abstract
High cardiorespiratory fitness (CRF) in adulthood is important for survival from major chronic diseases and preserving good health. We examined how childhood CRF tracks, or persists, into adulthood. Among a cohort of 748 school children followed over 34 years, we found child CRF correlated with young- (r = 0.30) and mid-adulthood (r = 0.16) CRF.
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Affiliation(s)
- Jia Guo
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Brooklyn J Fraser
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Leigh Blizzard
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | | | - Terence Dwyer
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; The Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, United Kingdom; Murdoch Children's Research Institute, Melbourne, Australia; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
| | - Alison J Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Costan G Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia; Baker Heart and Diabetes Institute, Melbourne, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland.
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17
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Moore MN, Blizzard CL, Dwyer T, Magnussen CG, Sharman JE, Venn AJ, Schultz MG. Exploring the direct and indirect effects of cardiovascular disease risk factors on exercise blood pressure. Scand J Med Sci Sports 2023; 33:2509-2515. [PMID: 37750022 DOI: 10.1111/sms.14480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 07/10/2023] [Accepted: 08/09/2023] [Indexed: 09/27/2023]
Abstract
OBJECTIVE Exaggerated exercise blood pressure (BP) is independently associated with cardiovascular disease (CVD) outcomes. However, it is unknown how individual CVD risk factors may interact with one another to influence exercise BP. The aim of this study was to quantify direct and indirect associations between CVD risk factors and exercise BP, to determine what CVD risk factor/s most-strongly relate to exercise BP. METHODS In a cross-sectional design, 660 participants (44 ± 2.6 years, 54% male) from the population-based Childhood Determinants of Adult Health Study had BP measured during low-intensity fixed-workload cycling. CVD risk factors were measured, including body composition, clinic (rest) BP, blood biomarkers, and cardiorespiratory fitness. Associations between CVD risk factors and exercise BP were assessed using linear regression, with direct and indirect pathways of association assessed via structural equation model. RESULTS Sex, waist-to-hip ratio, fitness, and clinic BP were independently associated with exercise systolic BP (SBP), and along with age, had direct associations with exercise SBP (p < 0.05 all). Most CVD risk factors were indirectly associated with exercise SBP via a relation with clinic BP (p < 0.05 all). Clinic BP, waist-to-hip ratio, and fitness were most-strongly associated (direct and indirect association) with exercise SBP (β[95% CI]: 9.35 [8.04, 10.67], 4.91 [2.56, 7.26], and -2.88 [-4.25, -1.51] mm Hg/SD, respectively). CONCLUSION Many CVD risk factors are associated with exercise BP, mostly with indirect effects via clinic BP. Clinic BP, body composition, and fitness were most-strongly associated with exercise BP. These results may elucidate how lifestyle modification could be a primary strategy to decrease exaggerated exercise BP-related CVD risk.
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Affiliation(s)
- Myles N Moore
- Menzies Institute for Medical Research, College of Health and Medicine, University of Tasmania, Hobart, Australia
| | - Christopher L Blizzard
- Menzies Institute for Medical Research, College of Health and Medicine, University of Tasmania, Hobart, Australia
| | - Terence Dwyer
- Menzies Institute for Medical Research, College of Health and Medicine, University of Tasmania, Hobart, Australia
- George Institute for Global Health, Oxford Martin School and Nuffield Department of Obstetrics & Gynaecology, Oxford University, Oxford, UK
- Murdoch Children's Research Institute, Melbourne, Australia
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
| | - Costan G Magnussen
- Menzies Institute for Medical Research, College of Health and Medicine, University of Tasmania, Hobart, Australia
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - James E Sharman
- Menzies Institute for Medical Research, College of Health and Medicine, University of Tasmania, Hobart, Australia
| | - Alison J Venn
- Menzies Institute for Medical Research, College of Health and Medicine, University of Tasmania, Hobart, Australia
| | - Martin G Schultz
- Menzies Institute for Medical Research, College of Health and Medicine, University of Tasmania, Hobart, Australia
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18
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Zong X, Kelishadi R, Hong YM, Schwandt P, Matsha TE, Mill JG, Whincup PH, Pacifico L, López-Bermejo A, Caserta CA, Medeiros CCM, Kollias A, Qorbani M, Jazi FS, Haas GM, de Oliveira Alvim R, Zaniqueli D, Chiesa C, Bassols J, Romeo EL, de Carvalho DF, da Silva Simões MO, Stergiou GS, Grammatikos E, Zhao M, Magnussen CG, Xi B. Establishing international optimal cut-offs of waist-to-height ratio for predicting cardiometabolic risk in children and adolescents aged 6-18 years. BMC Med 2023; 21:442. [PMID: 37968681 PMCID: PMC10647138 DOI: 10.1186/s12916-023-03169-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/09/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Waist-to-height ratio (WHtR) has been proposed as a simple and effective screening tool for assessing central obesity and cardiometabolic risk in both adult and pediatric populations. However, evidence suggests that the use of a uniform WHtR cut-off of 0.50 may not be universally optimal for pediatric populations globally. We aimed to determine the optimal cut-offs of WHtR in children and adolescents with increased cardiometabolic risk across different countries worldwide. METHODS We used ten population-based cross-sectional data on 24,605 children and adolescents aged 6-18 years from Brazil, China, Greece, Iran, Italy, Korea, South Africa, Spain, the UK, and the USA for establishing optimal WHtR cut-offs. We performed an external independent test (9,619 children and adolescents aged 6-18 years who came from other six countries) to validate the optimal WHtR cut-offs based on the predicting performance for at least two or three cardiometabolic risk factors. RESULTS Based on receiver operator characteristic curve analyses of various WHtR cut-offs to discriminate those with ≥ 2 cardiometabolic risk factors, the relatively optimal percentile cut-offs of WHtR in the normal weight subsample population in each country did not always coincide with a single fixed percentile, but varied from the 75th to 95th percentiles across the ten countries. However, these relatively optimal percentile values tended to cluster irrespective of sex, metabolic syndrome (MetS) criteria used, and WC measurement position. In general, using ≥ 2 cardiometabolic risk factors as the predictive outcome, the relatively optimal WHtR cut-off was around 0.50 in European and the US youths but was lower, around 0.46, in Asian, African, and South American youths. Secondary analyses that directly tested WHtR values ranging from 0.42 to 0.56 at 0.01 increments largely confirmed the results of the main analyses. In addition, the proposed cut-offs of 0.50 and 0.46 for two specific pediatric populations, respectively, showed a good performance in predicting ≥ 2 or ≥ 3 cardiometabolic risk factors in external independent test populations from six countries (Brazil, China, Germany, Italy, Korea, and the USA). CONCLUSIONS The proposed international WHtR cut-offs are easy and useful to identify central obesity and cardiometabolic risk in children and adolescents globally, thus allowing international comparison across populations.
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Affiliation(s)
- Xin'nan Zong
- Department of Epidemiology, School of Public Health, Shandong University, Jinan, China
- Department of Growth and Development, Capital Institute of Pediatrics, Beijing, China
| | - Roya Kelishadi
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Young Mi Hong
- Department of Pediatrics, Ewha Womans University School of Medicine, Seoul, Korea
| | - Peter Schwandt
- Atherosclerosis Prevention Institute, Munich-Nuremberg, Munich, Germany
| | - Tandi E Matsha
- Department of Biomedical Sciences, Faculty of Health & Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Jose G Mill
- Department of Physiological Sciences, Center of Health Sciences, Federal University of Espírito Santo, Vitória, Brazil
| | - Peter H Whincup
- Population Health Research Institute, St George's, University of London, London, UK
| | - Lucia Pacifico
- Department of Maternal and Child Health, Sapienza University of Rome, Rome, Italy
| | - Abel López-Bermejo
- Pediatric Endocrinology Research Group, Girona Biomedical Research Institute (IDIBGI), Salt, Spain
- Department of Pediatrics, Hospital Dr. Josep Trueta, Girona, Spain
- Department of Medical Sciences, University of Girona, Girona, Spain
| | - Carmelo Antonio Caserta
- Associazione Calabrese Di Epatologia - Medicina Solidale - A.C.E. ETS, Reggio Calabria, Italy
| | | | - Anastasios Kollias
- Hypertension Center STRIDE-7, School of Medicine, Third Department of Medicine, National and Kapodistrian University of Athens, Sotiria Hospital, Athens, Greece
| | - Mostafa Qorbani
- Non Communicable Research Center, Alborz University, Karaj, Iran
| | | | - Gerda-Maria Haas
- Atherosclerosis Prevention Institute, Munich-Nuremberg, Munich, Germany
| | | | - Divanei Zaniqueli
- Department of Physiological Sciences, Center of Health Sciences, Federal University of Espírito Santo, Vitória, Brazil
| | - Claudio Chiesa
- Institute of Translational Pharmacology, National Research Council, Rome, Italy
| | - Judit Bassols
- Maternal-Fetal Metabolic Research Group, Girona Institute for Biomedical Research (IDIBGI), Salt, Spain
| | - Elisabetta Lucia Romeo
- Associazione Calabrese Di Epatologia - Medicina Solidale - A.C.E. ETS, Reggio Calabria, Italy
| | | | | | - George S Stergiou
- Hypertension Center STRIDE-7, School of Medicine, Third Department of Medicine, National and Kapodistrian University of Athens, Sotiria Hospital, Athens, Greece
| | | | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Shandong University, Jinan, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Research Center of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Shandong University, Jinan, China.
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19
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Fraser BJ, Blizzard L, Tomkinson GR, McGrath R, Dwyer T, Venn AJ, Magnussen CG. Tracking handgrip strength asymmetry from childhood to mid-life. Acta Paediatr 2023; 112:2408-2417. [PMID: 37531128 PMCID: PMC10952407 DOI: 10.1111/apa.16930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/25/2023] [Accepted: 07/31/2023] [Indexed: 08/03/2023]
Abstract
AIM Determine if asymmetric handgrip strength exists in childhood and adulthood and quantify the degree of tracking of handgrip strength asymmetry over time. METHODS Participants from the Childhood Determinants of Adult Health Study had their right and left handgrip strength measured using handgrip dynamometry in childhood (1985: 9-15 y), young adulthood (2004-06: 26-36 y) and/or mid-adulthood (2014-19: 36-49 y). Handgrip strength asymmetry was calculated as: strongest handgrip strength/strongest handgrip strength on the other hand. Participants were categorised based on the degree of their asymmetry (0.0%-10.0%, 10.1%-20.0%, 20.1%-30.0%, >30.0%). Tracking was quantified using Spearman's correlations and log binomial regression. RESULTS Handgrip strength asymmetry was present in childhood and adulthood (>30.0% asymmetry: childhood = 6%, young adulthood = 3%, mid-adulthood = 4%). Handgrip strength asymmetry did not track between childhood and young- (r = 0.06, 95% CI = -0.02, 0.12) and mid-adulthood (r = 0.01, 95% CI = -0.09, 0.10). Tracking was more apparent between young- and mid-adulthood (r = 0.16, 95% CI = 0.09, 0.22). Participants with >30.0% asymmetry were at greater risk to maintain this status between childhood and young- (RR = 3.53, 95% CI = 1.15, 10.87) and mid-adulthood (RR = 2.14, 95% CI = 0.45, 10.20). CONCLUSION Although handgrip strength asymmetry tracked relatively poorly, asymmetric handgrip strength was apparent in children and adults. Handgrip strength asymmetry does not exclusively affect older adults and should be considered in protocols to better understand its role across the life course.
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Affiliation(s)
- Brooklyn J. Fraser
- Menzies Institute for Medical ResearchUniversity of TasmaniaHobartTasmaniaAustralia
- Alliance for Research in Exercise, Nutrition and Activity (ARENA)University of South AustraliaAdelaideSouth AustraliaAustralia
| | - Leigh Blizzard
- Menzies Institute for Medical ResearchUniversity of TasmaniaHobartTasmaniaAustralia
| | - Grant R. Tomkinson
- Alliance for Research in Exercise, Nutrition and Activity (ARENA)University of South AustraliaAdelaideSouth AustraliaAustralia
| | - Ryan McGrath
- Alliance for Research in Exercise, Nutrition and Activity (ARENA)University of South AustraliaAdelaideSouth AustraliaAustralia
- Healthy Aging North Dakota (HAND)North Dakota State UniversityFargoNorth DakotaUSA
- Department of Health, Nutrition, and Exercise SciencesNorth Dakota State UniversityFargoNorth DakotaUSA
- Fargo VA Healthcare SystemFargoNorth DakotaUSA
| | - Terence Dwyer
- Menzies Institute for Medical ResearchUniversity of TasmaniaHobartTasmaniaAustralia
- The Nuffield Department of Women's & Reproductive HealthUniversity of OxfordOxfordUK
- Murdoch Children's Research InstituteMelbourneVictoriaAustralia
- Faculty of Medicine, Dentistry and Health SciencesUniversity of MelbourneMelbourneVictoriaAustralia
| | - Alison J. Venn
- Menzies Institute for Medical ResearchUniversity of TasmaniaHobartTasmaniaAustralia
| | - Costan G. Magnussen
- Menzies Institute for Medical ResearchUniversity of TasmaniaHobartTasmaniaAustralia
- Alliance for Research in Exercise, Nutrition and Activity (ARENA)University of South AustraliaAdelaideSouth AustraliaAustralia
- Baker Heart and Diabetes InstituteMelbourneVictoriaAustralia
- Research Centre of Applied and Preventive Cardiovascular MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchUniversity of Turku and Turku University HospitalTurkuFinland
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20
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Whitmore K, Zhou Z, Chapman N, Huynh Q, Magnussen CG, Sharman JE, Marwick TH. Impact of Patient Visualization of Cardiovascular Images on Modification of Cardiovascular Risk Factors: Systematic Review and Meta-Analysis. JACC Cardiovasc Imaging 2023; 16:1069-1081. [PMID: 37227327 DOI: 10.1016/j.jcmg.2023.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 02/23/2023] [Accepted: 03/14/2023] [Indexed: 05/26/2023]
Abstract
BACKGROUND It is unclear whether detection and patient visualization of cardiovascular (CV) images using computed tomography to assess coronary artery calcium or carotid ultrasound (CU) to identify plaque and intima-medial thickness merely prompts prescription of lipid-lowering therapy or whether it motivates lifestyle change among patients. OBJECTIVES This systematic review and meta-analysis sought to investigate whether patient visualization of CV images (computed tomography or CU) has a beneficial impact on improving overall absolute CV risk as well as lipid and nonlipid CV risk factors in asymptomatic individuals. METHODS The key words "CV imaging," "CV risk," "asymptomatic persons," "no known or diagnosed CV disease," and "atherosclerotic plaque" were searched in PubMed, Cochrane, and Embase in November 2021. Randomized trials that assessed the role of CV imaging in reducing CV risk in asymptomatic persons with no known CV disease were eligible for study inclusion. The primary outcome was a change in 10-year Framingham risk score from the trial commencement to the end of the follow-up following patient visualization of CV images. RESULTS Six randomized controlled trials (7,083 participants) were included; 4 studies used coronary artery calcium and 2 used CU to detect subclinical atherosclerosis. All studies used image visualization in the intervention group to communicate CV risk. Imaging-guidance was associated with a 0.91% improvement in 10-year Framingham risk score (95% CI: 0.24%-1.58%; P = 0.01). Significant reductions in low-density-lipoprotein, total cholesterol, and systolic blood pressure were observed (all P < 0.05). CONCLUSIONS Patient visualization of CV imaging is associated with overall CV risk reduction and improvement of individual risk factors: cholesterol and systolic blood pressure.
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Affiliation(s)
- Kristyn Whitmore
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Zhen Zhou
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Niamh Chapman
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Quan Huynh
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - James E Sharman
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Thomas H Marwick
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia; Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
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21
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Mansell T, Bekkering S, Longmore D, Magnussen CG, Vlahos A, Harcourt BE, McCallum Z, Kao KT, Sabin MA, Juonala M, Saffery R, Burgner DP, Saner C. Change in adiposity is associated with change in glycoprotein acetyls but not hsCRP in adolescents with severe obesity. Obes Res Clin Pract 2023; 17:343-348. [PMID: 37633821 DOI: 10.1016/j.orcp.2023.08.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 08/02/2023] [Accepted: 08/19/2023] [Indexed: 08/28/2023]
Abstract
BACKGROUND Obesity-associated chronic inflammation mediates the development of adverse cardiometabolic outcomes. There are sparse data on associations between severe obesity and inflammatory biomarkers in adolescence; most are cross-sectional and limited to acute phase reactants. Here, we investigate associations between adiposity measures and inflammatory biomarkers in children and adolescents with severe obesity both cross-sectionally and longitudinally. METHODS From the Childhood Overweight Biorepository of Australia (COBRA) study, a total of n = 262 participants, mean age 11.5 years (SD 3.5) with obesity had measures of adiposity (body mass index, BMI; % above the 95th BMI-centile, %>95th BMI-centile; waist circumference, WC; waist/height ratio, WtH; % total body fat, %BF; % truncal body fat, %TF) and inflammation biomarkers (glycoprotein acetyls, GlycA; high-sensitivity C-Reactive Protein, hsCRP; white blood cell count, WBC; and neutrophil/lymphocyte ratio, NLR) assessed at baseline. Ninety-eight individuals at mean age of 15.9 years (3.7) participated in a follow-up study 5.6 (2.1) years later. Sixty-two individuals had longitudinal data. Linear regression models, adjusted for age and sex for cross-sectional analyses were applied. To estimate longitudinal associations between change in adiposity measures with inflammation biomarkers, models were adjusted for baseline measures of adiposity and inflammation. RESULTS All adiposity measures were cross-sectionally associated with GlycA, hsCRP and WBC at both time points. Change in BMI, %>95th BMI-centile, WC, WtH and %TF were associated with concomitant change in GlycA and WBC, but not in hsCRP and NLR. CONCLUSION GlycA and WBC but not hsCRP and NLR may be useful in assessing adiposity-related severity of chronic inflammation over time.
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Affiliation(s)
- Toby Mansell
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Siroon Bekkering
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia; Dept of Internal Medicine and Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Danielle Longmore
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia; Department of Endocrinology, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - Costan G Magnussen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland, and Centre for Population Health Research, University of Turku and Turku University Hospital Turku, Finland; Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Amanda Vlahos
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - Brooke E Harcourt
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Zoe McCallum
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia; Neurodevelopment and Disability, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - Kung-Ting Kao
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia; Department of Endocrinology, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - Matthew A Sabin
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia; Department of Endocrinology, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - Markus Juonala
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia; Department of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Turku, Finland
| | - Richard Saffery
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - David P Burgner
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia; Department of Paediatrics, Monash University, Clayton, Victoria, Australia
| | - Christoph Saner
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia; Division of Pediatric Endocrinology, Diabetology, and Metabolism, Department of Pediatrics, University Children's Hospital Bern, Inselspital Bern, Switzerland; Department of Biomedical Research, University of Bern, Bern, Switzerland.
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22
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Sun J, Qiao Y, Zhao M, Magnussen CG, Xi B. Global, regional, and national burden of cardiovascular diseases in youths and young adults aged 15-39 years in 204 countries/territories, 1990-2019: a systematic analysis of Global Burden of Disease Study 2019. BMC Med 2023; 21:222. [PMID: 37365627 PMCID: PMC10294522 DOI: 10.1186/s12916-023-02925-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 06/06/2023] [Indexed: 06/28/2023] Open
Abstract
BACKGROUND Understanding the temporal trends in the burden of overall and type-specific cardiovascular diseases (CVDs) in youths and young adults and its attributable risk factors is important for effective and targeted prevention strategies and measures. We aimed to provide a standardized and comprehensive estimation of the prevalence, incidence, disability-adjusted life years (DALY), and mortality rate of CVDs and its associated risk factors in youths and young adults aged 15-39 years at global, regional, and national levels. METHODS We applied Global Burden of Disease, Injuries, and Risk Factors Study (GBD) 2019 analytical tools to calculate the age-standardized incidence, prevalence, DALY, and mortality rate of overall and type-specific CVDs (i.e., rheumatic heart disease, ischemic heart disease, stroke, hypertensive heart disease, non-rheumatic valvular heart disease, cardiomyopathy and myocarditis, atrial fibrillation and flutter, aortic aneurysm, and endocarditis) among youths and young adults aged 15-39 years by age, sex, region, sociodemographic index and across 204 countries/territories from 1990 to 2019, and proportional DALY of CVDs attributable to associated risk factors. RESULTS The global age-standardized DALY (per 100,000 population) for CVDs in youths and young adults significantly decreased from 1257.51 (95% confidence interval 1257.03, 1257.99) in 1990 to 990.64 (990.28, 990.99) in 2019 with an average annual percent change (AAPC) of - 0.81% (- 1.04%, - 0.58%, P < 0.001), and the age-standardized mortality rate also significantly decreased from 19.83 (19.77, 19.89) to 15.12 (15.08, 15.16) with an AAPC of - 0.93% (- 1.21%, - 0.66%, P < 0.001). However, the global age-standardized incidence rate (per 100,000 population) moderately increased from 126.80 (126.65, 126.95) in 1990 to 129.85 (129.72, 129.98) in 2019 with an AAPC of 0.08% (0.00%, 0.16%, P = 0.040), and the age-standardized prevalence rate significantly increased from 1477.54 (1477.03, 1478.06) to 1645.32 (1644.86, 1645.78) with an AAPC of 0.38% (0.35%, 0.40%, P < 0.001). In terms of type-specific CVDs, the age-standardized incidence and prevalence rate in rheumatic heart disease, prevalence rate in ischemic heart disease, and incidence rate in endocarditis increased from 1990 to 2019 (all P < 0.001). When stratified by sociodemographic index (SDI), the countries/territories with low and low-middle SDI had a higher burden of CVDs than the countries/territories with high and high-middle SDI. Women had a higher prevalence rate of CVDs than men, whereas men had a higher DALY and mortality rate than women. High systolic blood pressure, high body mass index, and low-density lipoprotein cholesterol were the main attributable risk factors for DALY of CVDs for all included countries and territories. Household air pollution from solid fuels was an additional attributable risk factor for DALY of CVDs in low and low-middle SDI countries compared with middle, high-middle, and high SDI countries. Compared with women, DALY for CVDs in men was more likely to be affected by almost all risk factors, especially for smoking. CONCLUSIONS There is a substantial global burden of CVDs in youths and young adults in 2019. The burden of overall and type-specific CVDs varied by age, sex, SDI, region, and country. CVDs in young people are largely preventable, which deserve more attention in the targeted implementation of effective primary prevention strategies and expansion of young-people's responsive healthcare systems.
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Affiliation(s)
- Jiahong Sun
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, 44 Wenhuaxi Road, Jinan, 250012, Shandong, China
| | - Yanan Qiao
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, 44 Wenhuaxi Road, Jinan, 250012, Shandong, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Australia
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, 44 Wenhuaxi Road, Jinan, 250012, Shandong, China.
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23
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Chen J, Wu F, Magnussen CG, Pahkala K, Juonala M, Hakala JO, Männistö S, Hutri-Kähönen N, Viikari JSA, Raitakari OT, Rovio SP. Dietary patterns from youth to adulthood and cognitive function in midlife: The cardiovascular risk in Young Finns Study. Nutrition 2023; 112:112063. [PMID: 37269718 DOI: 10.1016/j.nut.2023.112063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 04/04/2023] [Accepted: 04/24/2023] [Indexed: 06/05/2023]
Abstract
OBJECTIVES Diet plays an important role in cognitive health, but the long-term association of diet early in life with cognitive function in adulthood has not, to our knowledge, been rigorously studied. The aim of this study was to examine the association of youth, adulthood, and long-term dietary patterns from youth to adulthood with cognitive function in midlife. METHODS This was a population-based cohort study that assessed dietary intake in 1980 (baseline, participants 3-18 y of age), 1986, 2001, 2007, and 2011 and cognitive function in 2011. Six dietary patterns were derived from 48-h food recall or food frequency questionnaires using factor analysis. The dietary patterns were traditional Finnish, high-carbohydrate, vegetables and dairy products, traditional Finnish and high-carbohydrate, red meat, and healthy. Scores of long-term dietary patterns were calculated as the average between youth and adulthood. Cognitive function outcomes assessed included episodic memory and associative learning, short-term working memory and problem solving, reaction and movement time, and visual processing and sustained attention. Standardized z-scores of exposures and outcomes were used for analyses. RESULTS Participants (n = 790, mean age 11.2 y) were followed up for 31 y. Multivariable models showed that both youth and long-term vegetable and dairy products and healthy patterns were positively associated with episodic memory and associative learning scores (β = 0.080-0.111, P < 0.05 for all). Both youth and long-term traditional Finnish patterns were negatively associated with spatial working memory and problem solving (β = -0.085 and -0.097, respectively; P < 0.05 for both). Long-term high-carbohydrate and traditional Finnish and high-carbohydrate patterns were inversely associated with visual processing and sustained attention, whereas the vegetable and dairy products pattern was positively associated with this cognitive domain (β = -0.117 to 0.073, P < 0.05 for all). Adulthood high-carbohydrate and traditional Finnish and high-carbohydrate patterns were inversely associated with all cognitive domains except for reaction and movement time (β = -0.072 to -0.161, P < 0.05 for all). Both long-term and adulthood red meat pattern were positively associated with visual processing and sustained attention (β = 0.079 and 0.104, respectively; P < 0.05 for both). These effect sizes correspond to approximately 1.6 to 16.1 y of cognitive aging on these cognitive domains. CONCLUSIONS Higher adherence to traditional Finnish, high-carbohydrate, and traditional Finnish and high-carbohydrate patterns across the early life course was associated with poorer cognitive function in midlife, whereas higher adherence to healthy and vegetable and dairy product patterns was associated with better cognitive function. The findings, if causative, highlight the importance of maintaining a healthy dietary pattern from early life to adulthood in an attempt to promote cognitive health.
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Affiliation(s)
- Jing Chen
- Department of Geriatrics, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China; Zhejiang Provincial Key Laboratory for Diagnosis and Treatment of Aging and Physic-chemical Injury Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Feitong Wu
- Baker Heart and Diabetes Institute, Melbourne, Australia; Baker Department of Cardiometabolic Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Australia.
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital; Paavo Nurmi Centre, Sports & Exercise Medicine Unit, Department of Physical Activity and Health, University of Turku, Turku, Finland
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland
| | - Juuso O Hakala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital; Paavo Nurmi Centre, Sports & Exercise Medicine Unit, Department of Physical Activity and Health, University of Turku, Turku, Finland
| | - Satu Männistö
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Nina Hutri-Kähönen
- Tampere Centre for Skills Training and Simulation, Tampere University, Faculty of Medicine and Health Technology, Tampere, Finland
| | - Jorma S A Viikari
- Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Suvi P Rovio
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
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24
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Koskinen JS, Kytö V, Juonala M, Viikari JSA, Nevalainen J, Kähönen M, Lehtimäki T, Hutri‐Kähönen N, Laitinen TP, Tossavainen P, Jokinen E, Magnussen CG, Raitakari OT. Childhood Dyslipidemia and Carotid Atherosclerotic Plaque in Adulthood: The Cardiovascular Risk in Young Finns Study. J Am Heart Assoc 2023; 12:e027586. [PMID: 36927037 PMCID: PMC10122878 DOI: 10.1161/jaha.122.027586] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 01/12/2023] [Indexed: 03/18/2023]
Abstract
Background Childhood exposure to dyslipidemia is associated with adult atherosclerosis, but it is unclear whether the long-term risk associated with dyslipidemia is attenuated on its resolution by adulthood. We aimed to address this question by examining the links between childhood and adult dyslipidemia on carotid atherosclerotic plaques in adulthood. Methods and Results The Cardiovascular Risk in Young Finns Study is a prospective follow-up of children that began in 1980. Since then, follow-up studies have been conducted regularly. In 2001 and 2007, carotid ultrasounds were performed on 2643 participants at the mean age of 36 years to identify carotid plaques and plaque areas. For childhood lipids, we exploited several risk factor measurements to determine the individual cumulative burden for each lipid during childhood. Participants were categorized into the following 4 groups based on their childhood and adult dyslipidemia status: no dyslipidemia (reference), incident, resolved, and persistent. Among individuals with carotid plaque, linear regression models were used to study the association of serum lipids with plaque area. The prevalence of plaque was 3.3% (N=88). In models adjusted for age, sex, and nonlipid cardiovascular risk factors, the relative risk for carotid plaque was 2.34 (95% CI, 0.91-6.00) for incident adult dyslipidemia, 3.00 (95% CI, 1.42-6.34) for dyslipidemia resolved by adulthood, and 5.23 (95% CI, 2.57-10.66) for persistent dyslipidemia. Carotid plaque area correlated with childhood total, low-density lipoprotein, and non-high-density lipoprotein cholesterol levels. Conclusions Childhood dyslipidemia, even if resolved by adulthood, is a risk factor for adult carotid plaque. Furthermore, among individuals with carotid plaque, childhood lipids associate with plaque size. These findings highlight the importance of primordial prevention of dyslipidemia in childhood to reduce atherosclerosis development.
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Affiliation(s)
- Juhani S. Koskinen
- Research Centre of Applied and Preventive Cardiovascular MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchUniversity of Turku and Turku University HospitalTurkuFinland
- Division of MedicineTurku University HospitalTurkuFinland
- Department of MedicineSatakunta Central HospitalPoriFinland
| | - Ville Kytö
- Research Centre of Applied and Preventive Cardiovascular MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchUniversity of Turku and Turku University HospitalTurkuFinland
- Heart CentreTurku University Hospital and University of TurkuTurkuFinland
| | - Markus Juonala
- Research Centre of Applied and Preventive Cardiovascular MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchUniversity of Turku and Turku University HospitalTurkuFinland
- Division of MedicineTurku University HospitalTurkuFinland
- Department of MedicineUniversity of TurkuTurkuFinland
| | - Jorma S. A. Viikari
- Division of MedicineTurku University HospitalTurkuFinland
- Department of MedicineUniversity of TurkuTurkuFinland
| | | | - Mika Kähönen
- Department of Clinical PhysiologyTampere University HospitalTampereFinland
- Faculty of Medicine and Health Technology and Finnish Cardiovascular Research Center TampereTampere UniversityTampereFinland
| | - Terho Lehtimäki
- Faculty of Medicine and Health Technology and Finnish Cardiovascular Research Center TampereTampere UniversityTampereFinland
- Department of Clinical ChemistryFimlab LaboratoriesTampereFinland
| | - Nina Hutri‐Kähönen
- Tampere Centre for Skills Training and SimulationTampere University, Faculty of Medicine and Health TechnologyTampereFinland
| | - Tomi P. Laitinen
- Department of Clinical Physiology and Nuclear MedicineKuopio University HospitalKuopioFinland
- Institute of Clinical MedicineUniversity of Eastern FinlandKuopioFinland
| | - Päivi Tossavainen
- Department of Pediatrics and Adolescent MedicineOulu University HospitalOuluFinland
- PEDEGO Research UnitUniversity of OuluOuluFinland
| | - Eero Jokinen
- Department of PediatricsUniversity of HelsinkiFinland
- Hospital for Children and AdolescentsHelsinki University HospitalHelsinkiFinland
| | - Costan G. Magnussen
- Research Centre of Applied and Preventive Cardiovascular MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchUniversity of Turku and Turku University HospitalTurkuFinland
- Baker Heart and Diabetes InstituteMelbourneVictoriaAustralia
| | - Olli T. Raitakari
- Research Centre of Applied and Preventive Cardiovascular MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchUniversity of Turku and Turku University HospitalTurkuFinland
- Department of Clinical Physiology and Nuclear MedicineTurku University HospitalTurkuFinland
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25
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Ma C, Yang H, Sun J, Zhao M, Magnussen CG, Xi B. Proportions of and trends in exposure to pro-tobacco and anti-tobacco advertisements among young adolescents aged 12-16 years in 142 countries and territories, 1999-2018: an analysis of repeated cross-sectional surveys. Lancet Glob Health 2023; 11:e586-e596. [PMID: 36925178 DOI: 10.1016/s2214-109x(23)00041-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 01/12/2023] [Accepted: 01/13/2023] [Indexed: 03/16/2023]
Abstract
BACKGROUND The proportions and trends in exposure to pro-tobacco and anti-tobacco advertisements among young people remain unknown globally. We determined recent (2010-18) proportions of exposure to pro-tobacco and anti-tobacco advertisements among young adolescents and their secular trends from 1999 to 2018. METHODS In this analysis of repeated cross-sectional surveys, we used the most recent data from 142 countries and territories (hereafter referred to as countries) collected between Jan 1, 2010, and Dec 31, 2018, comprising 710 191 participants, to assess the proportions of exposure to pro-tobacco and anti-tobacco advertisements among young adolescents aged 12-16 years. Data from 120 countries that had performed two or more Global Youth Tobacco Surveys between Jan 1, 1999, and Dec 31, 2018, comprising 1 482 031 participants, were used to assess trends in the proportions of exposure to pro-tobacco and anti-tobacco advertisements over time. A χ2 test analysis was used for proportion comparisons between subgroups. Exposure to pro-tobacco and anti-tobacco advertisements were calculated as proportions using sampling weights, strata, and primary sampling units. FINDINGS The most recent global proportion of past 30-day exposure to tobacco advertisements among young adolescents was 433 585 (64·6%) of 710 191 (95% CI 63·5-65·7; all final percentages were weighted) for messages on electronic media, 206 766 (33·1%) of 710 191 (31·9-34·4) for exposure at the point of sale, and 63 385 (10·2%) of 710 191 (9·7-10·6) for owning something with a tobacco brand logo. The most recent global proportion of exposure to anti-tobacco advertisements was 431 862 (63·6%) of 710 191 (62·3-64·9) for messages on electronic media and 227 658 (34·1%) of 710 191 (32·8-35·3) for exposure to gathering activities. The majority of included countries showed a decreasing trend in exposure to tobacco advertisements (111 [93%] of 120) and anti-tobacco advertisements (110 [92%] of 120) between 1999 and 2018. INTERPRETATION Among young adolescents, exposure to tobacco advertisements remains high, and exposure to anti-tobacco advertisements is not high enough. The proportion of young adolescents exposed to pro-tobacco and anti-tobacco advertisements had decreased over time in the majority of included countries. These findings underscore the importance of strict implementation of regulation on tobacco control including strengthening anti-tobacco marketing and prohibiting tobacco marketing. FUNDING Youth Team of Humanistic and Social Science of Shandong University. TRANSLATION For the Chinese translation of the abstract see Supplementary Materials section.
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Affiliation(s)
- Chuanwei Ma
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Hui Yang
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jiahong Sun
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
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26
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Sun J, Li Y, Zhao M, Yu X, Zhang C, Magnussen CG, Xi B. Association of the American Heart Association's new "Life's Essential 8" with all-cause and cardiovascular disease-specific mortality: prospective cohort study. BMC Med 2023; 21:116. [PMID: 36978123 PMCID: PMC10053736 DOI: 10.1186/s12916-023-02824-8] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 03/09/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND The American Heart Association recently updated its construct of what constitutes cardiovascular health (CVH), called Life's Essential 8. We examined the association of total and individual CVH metrics according to Life's Essential 8 with all-cause and cardiovascular disease (CVD)-specific mortality later in life. METHODS Data were from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 at baseline linked to the 2019 National Death Index records. Total and individual CVH metric scores including diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipids, blood glucose, and blood pressure were classified as 0-49 (low level), 50-74 (intermediate level), and 75-100 (high level) points. The total CVH metric score (the average of the 8 metrics) as a continuous variable was also used for dose-response analysis. The main outcomes included all-cause and CVD-specific mortality. RESULTS A total of 19,951 US adults aged 30-79 years were included in this study. Only 19.5% of adults achieved a high total CVH score, whereas 24.1% had a low score. During a median follow-up of 7.6 years, compared with adults with a low total CVH score, those with an intermediate or high total CVH score had 40% (adjusted hazard ratio [HR] 0.60, 95% confidence interval [CI] 0.51-0.71) and 58% (adjusted HR 0.42, 95% CI 0.32-0.56) reduced risk of all-cause mortality. The corresponding adjusted HRs (95%CIs) were 0.62 (0.46-0.83) and 0.36 (0.21-0.59) for CVD-specific mortality. The population-attributable fractions for high (score ≥ 75 points) vs. low or intermediate (score < 75 points) CVH scores were 33.4% for all-cause mortality and 42.9% for CVD-specific mortality. Among all 8 individual CVH metrics, physical activity, nicotine exposure, and diet accounted for a large proportion of the population-attributable risks for all-cause mortality, whereas physical activity, blood pressure, and blood glucose accounted for a large proportion of CVD-specific mortality. There were approximately linear dose-response associations of total CVH score (as a continuous variable) with all-cause and CVD-specific mortality. CONCLUSIONS Achieving a higher CVH score according to the new Life's Essential 8 was associated with a reduced risk of all-cause and CVD-specific mortality. Public health and healthcare efforts targeting the promotion of higher CVH scores could provide considerable benefits to reduce the mortality burden later in life.
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Affiliation(s)
- Jiahong Sun
- Department of Epidemiology/Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, School of Public Health/Qilu Hospital, Cheeloo College of Medicine, Shandong University, 44 Wen Hua Xi Road, Jinan, 250012, China
| | - Yanzhi Li
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiao Yu
- Key Laboratory Experimental Teratology of the Ministry of Education, Department of Physiology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Cheng Zhang
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Research Center of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology/Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, School of Public Health/Qilu Hospital, Cheeloo College of Medicine, Shandong University, 44 Wen Hua Xi Road, Jinan, 250012, China.
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Ma C, Huang Y, Li S, Zhao M, Zeng X, Di X, Magnussen CG, Xi B, Liu S. Trends in Exposure to Secondhand Smoke Among Adolescents in China From 2013-2014 to 2019: Two Repeated National Cross-sectional Surveys. JMIR Public Health Surveill 2023; 9:e40782. [PMID: 36961497 PMCID: PMC10131728 DOI: 10.2196/40782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 02/11/2023] [Accepted: 02/14/2023] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND It is well-known that secondhand smoke exposure in childhood or adolescence is positively associated with morbidity and mortality. However, less is known about the current status of and most recent trends in secondhand smoke exposure among adolescents in China. OBJECTIVE We aimed to assess recent changes in the prevalence of secondhand smoke exposure among adolescents in China using nationally representative data. METHODS We used data from 2 repeated national cross-sectional surveys conducted in 2013-2014 and 2019. A total of 155,117 students (median age 13.5 years) in 2013-2014 and 147,270 students (median age 13.1 years) in 2019 were included in this study. Sociodemographic factors and secondhand smoke exposure information were collected via a standardized questionnaire. Exposure was defined as secondhand smoke exposure ≥1 day during the past 7 days at home or in public places. Other frequencies of secondhand smoke exposure (ie, ≥3 days, ≥5 days, and every day) during the past 7 days were also assessed. The weighted prevalence of secondhand smoke exposure was calculated according to the complex sample design for surveys. RESULTS The prevalence of secondhand smoke exposure in any place (home or public places ≥1 day during the past 7 days) decreased from 2013-2014 (72.9%, 95% CI 71.5%-74.3%) to 2019 (63.2%, 95% CI 62%-64.5%), as did exposure at home (2013-2014: 44.4%, 95% CI 43.1%-45.7%; 2019: 34.1%, 95% CI 33.1%-35.2%) and in public places (2013-2014: 68.3%, 95% CI 66.9%-69.6%; 2019: 57.3%, 95% CI 56%-58.6%). The prevalence of secondhand smoke exposure decreased with increased gross domestic product per capita in each of the 2 survey years irrespective of exposure frequency or location. The prevalence of exposure at other frequencies (ie, ≥3 days, ≥5 days, or every day during the past 7 days) also decreased in any place, at home, and in public places. Secondhand smoke exposure was associated with higher school grade level (ninth vs seventh grade: odds ratio [OR] 1.76, 95% CI 1.68-1.84), gender (boys vs girls: OR 1.18, 95% CI 1.15-1.22), urban status (urban vs rural: OR 1.10, 95% CI 1.01-1.19), and cigarette smoking (yes vs no: OR 6.67, 95% CI 5.83-7.62). CONCLUSIONS Although the prevalence of secondhand smoke exposure among Chinese adolescents declined from 2013-2014 to 2019, it remains unacceptably high. More effective strategies and stronger action are needed in China to further, and dramatically, curb secondhand smoke exposure among adolescents.
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Affiliation(s)
- Chuanwei Ma
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yayang Huang
- Health Education Institute, Beijing Center for Disease Prevention and Control, Beijing, China
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
| | - Sixuan Li
- Department of Chronic and Noncommunicable Disease Control and Prevention, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xinying Zeng
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xinbo Di
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Victoria, Australia
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Shiwei Liu
- Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, China
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Goode JP, Smith KJ, Breslin M, Kilpatrick M, Dwyer T, Venn AJ, Magnussen CG. A healthful plant-based eating pattern is longitudinally associated with higher insulin sensitivity in Australian adults. J Nutr 2023; 153:1544-1554. [PMID: 36931561 DOI: 10.1016/j.tjnut.2023.03.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 03/04/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023] Open
Abstract
BACKGROUND A healthful plant-based eating pattern is associated with lower type 2 diabetes risk; however, the association with its preceding state, compromised insulin sensitivity, is less well-established, particularly in younger populations with repeated measures of diet over time. OBJECTIVE We aimed to examine the longitudinal relationship between a healthful plant-based eating pattern and insulin sensitivity in young to middle-aged adults. METHODS We included 667 participants from the Childhood Determinants of Adult Health (CDAH) study, a population-based cohort in Australia. Healthful plant-based diet index (hPDI) scores were derived from food frequency questionnaire data. Plant foods considered 'healthful' were scored positively (e.g., whole grains, fruit, vegetables), with all remaining foods scored reversely (e.g., refined grains, soft drinks, meat). Updated homeostatic model assessment (HOMA2) estimated insulin sensitivity from fasting insulin and glucose concentrations. We used linear mixed-effects regression to analyse data from two time points: CDAH-1 (2004-06, aged 26-36 years) and CDAH-3 (2017-19, aged 36-49 years). hPDI scores were modelled as between- and within-person effects (i.e., a participant's overall mean and their deviation from said mean at each time point, respectively). RESULTS The median follow-up duration was 13 years. In our primary analysis, each 10-unit difference in hPDI score was associated with higher log-HOMA2 insulin sensitivity [95% confidence interval], with between-person (β = 0.11 [0.05, 0.17], P < .001) and within-person effects (β = 0.10 [0.04, 0.16], P = .001). The within-person effect persisted despite accounting for compliance with dietary guidelines. Adjustment for waist circumference attenuated the between-person effect by 70% (P = .26) and the within-person effect by 40% (P = .04). CONCLUSIONS In young to middle-aged Australian adults, a healthful plant-based eating pattern (determined using hPDI scores) was longitudinally associated with higher insulin sensitivity, and therefore, potentially lower type 2 diabetes risk later in life.
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Affiliation(s)
- James P Goode
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
| | - Kylie J Smith
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Monique Breslin
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Michelle Kilpatrick
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Terence Dwyer
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia; Heart Research Group, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - Alison J Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Costan G Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia; Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
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Zhou Z, Zhang W, Burgner D, Tonkin A, Zhu C, Sun C, Magnussen CG, Ernst ME, Breslin M, Nicholls SJ, Nelson MR. The association between PCSK9 inhibitor use and sepsis - A systematic review and meta-analysis of 20 double-blind, randomized, placebo-controlled trials. Am J Med 2023; 136:558-567.e20. [PMID: 36921646 DOI: 10.1016/j.amjmed.2023.02.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 02/11/2023] [Accepted: 02/14/2023] [Indexed: 03/16/2023]
Abstract
AIMS To determine the impact of proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor use on incident sepsis and other severe infections. METHODS We searched PubMed, EMBASE, CENTRAL and ClinicalTrial.gov up to September 14, 2021 for double-blind, placebo-controlled randomized trials of alirocumab, evolocumab, or inclisiran with >100 participants in each arm and report of serious adverse events related to infection. Data were synthesized with the fixed-effect Mantel-Haenszel model to generate risk ratios (RRs) with 95% confidence intervals (CIs) of each outcome for PCSK9 inhibitor versus placebo. Main outcome was sepsis. Other outcomes were total severe infections, severe bacterial and viral infections, and severe organ system-specific infections including respiratory tract, gastrointestinal, and genitourinary tract infections. RESULTS Twenty studies of 64,984 participants were included (alirocumab: n=7; evolocumab: n=9; inclisiran: n=4). Sepsis was reported in 292 (0.51%) participants from 11 trials (PCSK9 inhibitor 0.47%; placebo 0.56%). PCSK9 inhibitor use was not associated with risk of sepsis compared with placebo (Summary RR: 0.85, 95%CI: 0.67-1.07, P=.16); nor was it associated with any severe infection (0.96, 95% CI 0.89-1.03), severe bacterial (0.96, 95%CI 0.81-1.14) and viral infections (1.03, 95%CI 0.78-1.37); nor with any severe organ system-specific infection (all P values >0.05). The between-study heterogeneity in all analyses was small. CONCLUSION There was neither a beneficial nor a harmful association between PCSK9 inhibitors and risk of sepsis or severe infections. These findings provide reassurance regarding the safety of PCSK9 inhibitors in patients who are concerned about potential drug side effects related to infections.
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Affiliation(s)
- Zhen Zhou
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
| | - Wei Zhang
- Department of Clinical Pharmacology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - David Burgner
- Department of Paediatrics, Melbourne University, Parkville, VIC, Australia; Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, VIC, Australia
| | - Andrew Tonkin
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Chao Zhu
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Chenyu Sun
- AMITA Health Saint Joseph Hospital Chicago, 2900 N. Lake Shore Drive, Chicago 60657, Illinois, USA
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Michael E Ernst
- Department of Pharmacy Practice and Science, College of Pharmacy and Department of Family Medicine, Carver College of Medicine, The University of Iowa, Iowa City, U.S
| | - Monique Breslin
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Stephen J Nicholls
- Monash Cardiovascular Research Centre, Victorian Heart Institute, Monash University, Melbourne, VIC, Australia
| | - Mark R Nelson
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
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Sun J, Liu X, Zhao M, Magnussen CG, Xi B. Dose-response association between maternal smoking during pregnancy and the risk of infant death: a nationwide, population-based, retrospective cohort study. EClinicalMedicine 2023; 57:101858. [PMID: 36879656 PMCID: PMC9984774 DOI: 10.1016/j.eclinm.2023.101858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 01/21/2023] [Accepted: 01/25/2023] [Indexed: 02/27/2023] Open
Abstract
BACKGROUND Association of timing and intensity of maternal smoking during pregnancy with all-cause and cause-specific infant death remains inconclusive. We aimed to examine the dose-response association of maternal smoking during each of the three trimesters of pregnancy with all-cause and cause-specific infant death. METHODS In this nationwide, population-based, retrospective cohort study, data were extracted from the U.S. National Vital Statistics System, 2015-2019. We included mother-infant pairs after excluding twin or multiple births, newborns with gestation age <37 weeks and those with low birthweight, mothers aged <18 years or ≥50 years, mothers with pre-existing hypertension or diabetes, and those with missing values for variables of interest. Poisson regression models were used to examine the association of different intensities and doses of maternal smoking during each of the three trimesters of pregnancy with all-cause and cause-specific infant death attributed to congenital anomalies, preterm birth, other perinatal conditions, sudden unexpected infant death, and infection. FINDINGS A total of 13,524,204 mother-infant pairs were included in our analyses. Maternal smoking during the entire pregnancy was associated with infant all-cause death (relative risk [RR] 1.88, 95% confidence interval [95% CI] 1.79-1.97), cause-specific death due to preterm birth (1.57, 1.25-1.98), perinatal conditions excluding preterm birth (1.35, 1.10-1.65), sudden unexpected infant death (2.56, 2.40-2.73), and infection (1.51, 1.20-1.88). The risk of infant all-cause death (RR values from 1.80 to 2.15) and cause-specific infant death by preterm birth (RR values from 1.42 to 1.74), perinatal conditions excluding preterm birth (RR values from 1.46 to 1.53), sudden unexpected infant death (RR values from 2.37 to 3.04), and infection (RR values from 1.48 to 2.69) increased with the intensity of maternal cigarette use during the entire pregnancy from 1-5 to ≥11 cigarettes. Compared with mothers who smoked during their entire pregnancy, those who smoked in the first trimester and then quit smoking in the second or third trimesters of pregnancy had a reduced risk of infant all-cause death (0.71, 0.65-0.78) and sudden unexpected infant death (0.64, 0.57-0.72). INTERPRETATION There was a dose-response association of maternal cigarette use during each of the three trimesters of pregnancy with all-cause and cause-specific infant death. In addition, mothers who are smokers in the first trimester and then quit smoking in the subsequent two trimesters are at decreased risk of infant all-cause mortality and sudden unexpected infant death compared with those who smoked during the entire pregnancy. These findings suggest that there is no safe level of maternal smoking in any trimester of pregnancy and maternal smokers should stop smoking during pregnancy to improve the survival of infants. FUNDING Youth Team of Humanistic and Social Science and the Innovation Team of the "Climbing" Program of Shandong University (20820IFYT1902).
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Affiliation(s)
- Jiahong Sun
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Xue Liu
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Costan G. Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Australia
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Corresponding author. Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, 44 Wenhuaxi Road, Jinan 250012, Shandong, China.
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31
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Saner C, Senior AM, Zhang H, Eloranta AM, Magnussen CG, Sabin MA, Juonala M, Janner M, Burgner DP, Schwab U, Haapala EA, Heitmann BL, Simpson SJ, Raubenheimer D, Lakka TA. Evidence for protein leverage in a general population sample of children and adolescents. Eur J Clin Nutr 2023:10.1038/s41430-023-01276-w. [PMID: 36797489 DOI: 10.1038/s41430-023-01276-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 01/28/2023] [Accepted: 02/02/2023] [Indexed: 02/18/2023]
Abstract
BACKGROUND/OBJECTIVES The strong regulation of protein intake can lead to overconsumption of total energy on diets with a low proportion of energy from protein, a process referred to as protein leverage. The protein leverage hypothesis posits that protein leverage explains variation in energy intake and potentially obesity in ecological settings. Here, we tested for protein leverage and the protein leverage hypothesis in children and adolescents. SUBJECTS/METHODS A population sample of children, mean (SD) age 7.6 (0.4) years (n = 422), followed up at age 9.8 (0.4) years (n = 387) and at age 15.8 (0.4) years (n = 229), participating for the Physical Activity and Nutrition in Children (PANIC) study. EXPOSURES 4-day food records-related proportional energy intake of proteins, fats, and carbohydrates. OUTCOMES energy intake, body mass index (BMI) z-score and dual-energy X-ray absorptiometry-related energy expenditure. RESULTS Proportional energy intake of proteins was inversely associated with energy intake following power functions at all 3 ages (mean [95%CI] strength of leverage of L = -0.36 [-0.47 to -0.25]; L = -0.26 [-0.37 to -0.15]; L = -0.25 [-0.38 to -0.13]; all P < 0.001). Mixture analysis indicated that variance in energy intake was associated primarily with the proportional intake of energy from proteins, not with either fats or carbohydrates. At all 3 ages, energy intake was not associated with BMI z-score but positively associated with energy expenditure (all P < 0.001). CONCLUSIONS This study provides evidence consistent with protein leverage in a population sample of children and adolescents. Increased energy intake on diets with lower protein content was counterbalanced by increased energy expenditure and therefore did not translate into increased adiposity.
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Affiliation(s)
- Christoph Saner
- Division of Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland. .,Department of Biomedical Research, University of Bern, Bern, Switzerland. .,Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia.
| | - Alistair M Senior
- Charles Perkins Centre and School of Life & Environmental Science, University of Sydney, Sydney, New South Wales, Australia
| | - Hanyue Zhang
- Research Unit for Dietary Studies at the Parker Institute, Bispebjerg and Frederiksberg Hospital, The Capital Region, Frederiksberg, Denmark.,Department of Public Health, Section for General Practice, University of Copenhagen, Copenhagen, Denmark
| | - Aino-Maija Eloranta
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland.,Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland.,Department of Medicine, Endocrinology and Clinical Nutrition, Kuopio University Hospital, Kuopio, Finland
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Matthew A Sabin
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Endocrinology, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku, Finland.,Division of Medicine, Turku University Hospital, Turku, Finland
| | - Marco Janner
- Division of Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - David P Burgner
- Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - Ursula Schwab
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland.,Department of Medicine, Endocrinology and Clinical Nutrition, Kuopio University Hospital, Kuopio, Finland
| | - Eero A Haapala
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland.,Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Berit L Heitmann
- Charles Perkins Centre and School of Life & Environmental Science, University of Sydney, Sydney, New South Wales, Australia.,Research Unit for Dietary Studies at the Parker Institute, Bispebjerg and Frederiksberg Hospital, The Capital Region, Frederiksberg, Denmark.,Department of Public Health, Section for General Practice, University of Copenhagen, Copenhagen, Denmark
| | - Stephen J Simpson
- Charles Perkins Centre and School of Life & Environmental Science, University of Sydney, Sydney, New South Wales, Australia
| | - David Raubenheimer
- Charles Perkins Centre and School of Life & Environmental Science, University of Sydney, Sydney, New South Wales, Australia
| | - Timo A Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland.,Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, University of Eastern Finland, Kuopio, Finland.,Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
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Huynh Q, Venn AJ, Magnussen CG, Yang H, Venkataraman P, Dwyer T, Marwick TH. Use of clinical scores in young Australian adults for prediction of atherosclerosis in middle age. BMC Cardiovasc Disord 2023; 23:63. [PMID: 36737706 PMCID: PMC9896707 DOI: 10.1186/s12872-023-03060-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 01/11/2023] [Indexed: 02/05/2023] Open
Abstract
We sought to apply a simple cardiovascular health tool not requiring laboratory tests (the Fuster-BEWAT score, FBS) to predict subclinical atherosclerosis. This study included 2657 young adults (< 40 years of age). In the prognostic group (n = 894, followed for 13 years until aged 40-50 years at follow-up), the primary outcome was presence of carotid plaque measured by carotid ultrasound at follow-up. Of these 894 participants, 86 (9.6%) had unilateral, and 23 participants (2.6%) had bilateral, carotid plaques at follow-up. The baseline FBS was predictive of carotid plaque at follow-up [odds ratio OR = 0.86 (95% CI 0.77-0.96) per 1-SD increase in FBS], similar to prediction from Pooled Cohort Equation [PCE, OR = 0.72 (0.61-0.85) per 1-SD decrease in PCE]. Risk scores at baseline predicted outcomes more strongly than those at follow-up, and did so independently of any changes over 13 years of follow-up. Similar discrimination for predicting carotid plaque after 13 years was found for both baseline FBS [C-statistic = 0.68 (95% CI 0.62-0.74)] and PCE [C-statistic = 0.69 (95% CI 0.63-0.75)]. Application of this FBS prognostic information to a contemporary cohort of 1763 young adults anticipates the future development of plaque in 305 (17.3%), especially in the 1494 participants (85%) with ≤ 2 metrics of ideal health. In conclusions, FBS measured in young adulthood predicted atherosclerosis 13 years later in middle age, independent of score changes over the follow-up period, emphasizing the importance of early damage to vascular health. FBS may be a simple and feasible risk score for engaging low-risk young people with reduction of future cardiovascular risk.
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Affiliation(s)
- Quan Huynh
- Baker Heart and Diabetes Research Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia. .,Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
| | - Alison J. Venn
- grid.1009.80000 0004 1936 826XMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Costan G. Magnussen
- grid.1051.50000 0000 9760 5620Baker Heart and Diabetes Research Institute, 75 Commercial Road, Melbourne, VIC 3004 Australia ,grid.1009.80000 0004 1936 826XMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia ,Research Centre of Applied and Preventive Cardiovascular Medicine, Turku, Finland ,grid.410552.70000 0004 0628 215XCentre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland
| | - Hong Yang
- grid.1009.80000 0004 1936 826XMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Prasanna Venkataraman
- grid.1051.50000 0000 9760 5620Baker Heart and Diabetes Research Institute, 75 Commercial Road, Melbourne, VIC 3004 Australia
| | - Terence Dwyer
- grid.1009.80000 0004 1936 826XMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia ,grid.4991.50000 0004 1936 8948Nuffield Department of Women’s & Reproductive Health, University of Oxford, Oxford, UK
| | - Thomas H. Marwick
- grid.1051.50000 0000 9760 5620Baker Heart and Diabetes Research Institute, 75 Commercial Road, Melbourne, VIC 3004 Australia ,grid.1009.80000 0004 1936 826XMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia
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Fraser BJ, Blizzard L, Rovio SP, Heinonen OJ, Niinikoski H, Viikari JSA, Rönnemaa T, Jula A, Raitakari OT, Magnussen CG, Pahkala K. Tracking of cardiorespiratory fitness and physical activity from youth to young adulthood: findings from the prospective Special Turku Coronary Risk Factor Intervention Project (STRIP). The Journal of Pediatrics: X 2023. [DOI: 10.1016/j.ympdx.2023.100085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023] Open
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Agbaje AO, Lloyd-Jones DM, Magnussen CG, Tuomainen TP. Cumulative dyslipidemia with arterial stiffness and carotid IMT progression in asymptomatic adolescents: A simulated intervention longitudinal study using temporal inverse allocation model. Atherosclerosis 2023; 364:39-48. [PMID: 36462968 DOI: 10.1016/j.atherosclerosis.2022.11.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 11/03/2022] [Accepted: 11/08/2022] [Indexed: 11/13/2022]
Abstract
BACKGROUND AND AIMS We aimed to examine the longitudinal associations of total cholesterol (TC), non-high-density lipoprotein cholesterol (non-HDL-C), high-density lipoprotein cholesterol (HDL-C), triglyceride, and low-density lipoprotein cholesterol (LDL-C) with carotid-femoral pulse wave velocity (cfPWV) and carotid intima-media thickness (cIMT) progression. METHODS We studied 1779, 15-year-old participants from the Avon Longitudinal Study of Parents and Children, UK birth cohort, followed up for 9 years. Fasting TC, non-HDL-C, HDL-C, triglyceride, and LDL-C were measured at 15, 17, and 24 years and age-categorized as normal, elevated, and dyslipidemia based on National Heart, Lung, and Blood Institute lipid guidelines. cfPWV and cIMT were measured at 17 and 24 years. Associations were examined using linear mixed-effect models. To simulate the treatment of dyslipidemia we conducted temporal inverse allocation model analyses. RESULTS Among 1779 [49.9% female] participants, mean lipid levels and proportions at elevated or dyslipidemia categories increased from ages 15 through 24 years. Persistently elevated TC: effect estimate 0.026 mm; [95% CI 0.004 to 0.049; p = 0.024], elevated non-HDL-C, and elevated LDL-C were cumulatively associated with cIMT progression. Persistent borderline-low HDL-C: -0.027 mm; [-0.050 to -0.005; p = 0.019] and very-low HDL-C -0.035 mm; [-0.057 to -0.013; p = 0.002] levels were associated with cIMT progression. A temporal inverse allocation of elevated and dyslipidemic levels with normal lipid levels at age 17 years attenuated the associations of cumulative elevated TC, non-HDL-C, LDL-C, and low HDL-C with cIMT progression. Cumulative elevated lipids or dyslipidemia were not associated with cfPWV progression. CONCLUSIONS Late adolescence is key to preventing, halting, and reversing dyslipidemic-related preclinical atherosclerosis progression, warranting universal lipid screening in the general pediatric population.
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Affiliation(s)
- Andrew O Agbaje
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland.
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Costan G Magnussen
- Baker Heart and Diabetes Research Institute, Melbourne, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland
| | - Tomi-Pekka Tuomainen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
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35
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Lang JJ, Zhang K, Agostinis-Sobrinho C, Andersen LB, Basterfield L, Berglind D, Blain DO, Cadenas-Sanchez C, Cameron C, Carson V, Colley RC, Csányi T, Faigenbaum AD, García-Hermoso A, Gomes TNQF, Gribbon A, Janssen I, Jurak G, Kaj M, Kidokoro T, Lane KN, Liu Y, Löf M, Lubans DR, Magnussen CG, Manyanga T, McGrath R, Mota J, Olds T, Onywera VO, Ortega FB, Oyeyemi AL, Prince SA, Ramírez-Vélez R, Roberts KC, Rubín L, Servais J, Silva DAS, Silva DR, Smith JJ, Song Y, Stratton G, Timmons BW, Tomkinson GR, Tremblay MS, Wong SHS, Fraser BJ. Top 10 International Priorities for Physical Fitness Research and Surveillance Among Children and Adolescents: A Twin-Panel Delphi Study. Sports Med 2023; 53:549-564. [PMID: 36001291 PMCID: PMC9399984 DOI: 10.1007/s40279-022-01752-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/04/2022] [Indexed: 01/28/2023]
Abstract
BACKGROUND The measurement of physical fitness has a history that dates back nearly 200 years. Recently, there has been an increase in international research and surveillance on physical fitness creating a need for setting international priorities that could help guide future efforts. OBJECTIVE This study aimed to produce a list of the top 10 international priorities for research and surveillance on physical fitness among children and adolescents. METHODS Using a twin-panel Delphi method, two independent panels consisting of 46 international experts were identified (panel 1 = 28, panel 2 = 18). The panel participants were asked to list up to five priorities for research or surveillance (round 1), and then rated the items from their own panel on a 5-point Likert scale of importance (round 2). In round 3, experts were asked to rate the priorities identified by the other panel. RESULTS There was strong between-panel agreement (panel 1: rs = 0.76, p < 0.01; panel 2: rs = 0.77, p < 0.01) in the priorities identified. The list of the final top 10 priorities included (i) "conduct longitudinal studies to assess changes in fitness and associations with health". This was followed by (ii) "use fitness surveillance to inform decision making", and (iii) "implement regular and consistent international/national fitness surveys using common measures". CONCLUSIONS The priorities identified in this study provide guidance for future international collaborations and research efforts on the physical fitness of children and adolescents over the next decade and beyond.
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Affiliation(s)
- Justin J. Lang
- grid.415368.d0000 0001 0805 4386Centre for Surveillance and Applied Research, Public Health Agency of Canada, 785 Carling Ave, Ottawa, ON K9A 0K9 Canada ,grid.28046.380000 0001 2182 2255School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON Canada ,grid.414148.c0000 0000 9402 6172Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON Canada
| | - Kai Zhang
- grid.414148.c0000 0000 9402 6172Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON Canada ,grid.28046.380000 0001 2182 2255School of Human Kinetics, University of Ottawa, Ottawa, ON Canada
| | - César Agostinis-Sobrinho
- grid.14329.3d0000 0001 1011 2418Faculty of Health Sciences, Klaipeda University, Klaipeda, Lithuania
| | - Lars Bo Andersen
- grid.477239.c0000 0004 1754 9964Department of Sport, Food and Natural Sciences. Western, Norway University of Applied Science, Bergen, Norway
| | - Laura Basterfield
- grid.1006.70000 0001 0462 7212Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Daniel Berglind
- grid.4714.60000 0004 1937 0626Department of Global Public Health and Centre for Epidemiology and Community Medicine (CES), Karolinska Institutet, Stockholm, Sweden
| | - Dylan O. Blain
- grid.12362.340000 0000 9280 9077Institute of Management and Health, University of Wales Trinity Saint David, Wales, UK
| | - Cristina Cadenas-Sanchez
- grid.4489.10000000121678994PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Christine Cameron
- grid.418590.10000 0001 2164 2780Canadian Fitness and Lifestyle Research Institute, Ottawa, ON Canada
| | - Valerie Carson
- grid.17089.370000 0001 2190 316XFaculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, AB Canada
| | - Rachel C. Colley
- grid.413850.b0000 0001 2097 5698Health Analysis Division, Statistics Canada, Ottawa, ON Canada
| | - Tamás Csányi
- Department of Physical Education Theory and Methodology, Hungarian University of Sports Science, Budapest, Hungary ,grid.5591.80000 0001 2294 6276Faculty of Primary and Pre-School Education, ELTE, Eötvös Loránd University, Budapest, Hungary
| | - Avery D. Faigenbaum
- grid.264500.50000 0004 0400 5239Kinesiology and Health Science, The College of New Jersey, Ewing, NJ USA
| | - Antonio García-Hermoso
- grid.410476.00000 0001 2174 6440Navarrabiomed, Hospital Universitario de Navarra (HUN), Navarra Institute for Health Research (IdiSNA), Universidad Pública de Navarra (UPNA), Pamplona, Navarra Spain
| | - Thayse Natacha Q. F. Gomes
- grid.411252.10000 0001 2285 6801Department of Physical Education, Federal University of Sergipe, São Cristóvão, SE Brazil
| | - Aidan Gribbon
- grid.413850.b0000 0001 2097 5698Centre for Population Health Data, Statistics Canada, Ottawa, ON Canada
| | - Ian Janssen
- grid.410356.50000 0004 1936 8331School of Kinesiology and Health Studies, Queen’s University, Kingston, ON Canada ,grid.410356.50000 0004 1936 8331Department of Public Health Sciences, Queen’s University, Kingston, ON Canada
| | - Gregor Jurak
- grid.8954.00000 0001 0721 6013Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia
| | - Mónika Kaj
- grid.511942.aHungarian School Sport Federation, Budapest, Hungary
| | - Tetsuhiro Kidokoro
- grid.412200.50000 0001 2228 003XResearch Institute for Health and Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Kirstin N. Lane
- grid.143640.40000 0004 1936 9465School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC Canada
| | - Yang Liu
- grid.412543.50000 0001 0033 4148School of Physical Education and Sport Training, Shanghai University of Sport, Shanghai, China ,grid.412543.50000 0001 0033 4148Shanghai Research Center for Physical Fitness and Health of Children and Adolescents, Shanghai University of Sport, Shanghai, China
| | - Marie Löf
- grid.4714.60000 0004 1937 0626Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden ,grid.5640.70000 0001 2162 9922Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - David R. Lubans
- grid.266842.c0000 0000 8831 109XCentre for Active Living and Learning, College of Human and Social Futures, The University of Newcastle, Callaghan, NSW Australia
| | - Costan G. Magnussen
- grid.1051.50000 0000 9760 5620Baker Heart and Diabetes Institute, Melbourne, VIC Australia ,grid.1374.10000 0001 2097 1371Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland ,grid.1374.10000 0001 2097 1371Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland ,grid.1009.80000 0004 1936 826XMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS Australia
| | - Taru Manyanga
- grid.266876.b0000 0001 2156 9982Division of Medical Sciences, University of Northern British Columbia, Prince George, BC Canada
| | - Ryan McGrath
- grid.261055.50000 0001 2293 4611Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND USA ,grid.509356.c0000 0004 0420 0122Fargo VA Healthcare System, Fargo, ND USA
| | - Jorge Mota
- grid.5808.50000 0001 1503 7226Laboratory for Integrative and Translational Research in Population Health (ITR), Research Center in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sports, University of Porto (FADEUP), Porto, Portugal
| | - Tim Olds
- grid.1026.50000 0000 8994 5086Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, SA Australia ,grid.1008.90000 0001 2179 088XMurdoch Children’s Research Institute, University of Melbourne, Parkville, Melbourne, VIC Australia
| | - Vincent O. Onywera
- grid.9762.a0000 0000 8732 4964Department of Physical Education, Exercise and Sports Science, Kenyatta University, Nairobi, Kenya
| | - Francisco B. Ortega
- grid.4489.10000000121678994PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain ,grid.9681.60000 0001 1013 7965Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Adewale L. Oyeyemi
- grid.413017.00000 0000 9001 9645Department of Physiotherapy, University of Maiduguri, Maiduguri, Nigeria
| | - Stephanie A. Prince
- grid.415368.d0000 0001 0805 4386Centre for Surveillance and Applied Research, Public Health Agency of Canada, 785 Carling Ave, Ottawa, ON K9A 0K9 Canada ,grid.28046.380000 0001 2182 2255School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON Canada
| | - Robinson Ramírez-Vélez
- grid.410476.00000 0001 2174 6440Navarrabiomed, Hospital Universitario de Navarra (HUN), Navarra Institute for Health Research (IdiSNA), Universidad Pública de Navarra (UPNA), Pamplona, Navarra Spain ,grid.442065.10000 0004 0486 4893Facultad de Ciencias de la Educación, Unidad Central del Valle del Cauca (UCEVA), Túlua, Colombia ,grid.413448.e0000 0000 9314 1427CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Karen C. Roberts
- grid.415368.d0000 0001 0805 4386Centre for Surveillance and Applied Research, Public Health Agency of Canada, 785 Carling Ave, Ottawa, ON K9A 0K9 Canada
| | - Lukáš Rubín
- grid.6912.c0000000110151740Department of Physical Education and Sport, Technical University of Liberec, Liberec, Czech Republic ,grid.10979.360000 0001 1245 3953Institute of Active Lifestyle, Palacký University Olomouc, Olomouc, Czech Republic
| | - Jennifer Servais
- grid.413850.b0000 0001 2097 5698Centre for Population Health Data, Statistics Canada, Ottawa, ON Canada
| | - Diego Augusto Santos Silva
- grid.411237.20000 0001 2188 7235Sports Center, Federal University of Santa Catarina, Florianópolis, SC Brazil
| | - Danilo R. Silva
- grid.411252.10000 0001 2285 6801Department of Physical Education, Federal University of Sergipe, São Cristóvão, SE Brazil ,grid.441837.d0000 0001 0765 9762Faculty of Health Science, Universidad Autónoma de Chile, Santiago, Chile
| | - Jordan J. Smith
- grid.266842.c0000 0000 8831 109XCentre for Active Living and Learning, College of Human and Social Futures, The University of Newcastle, Callaghan, NSW Australia
| | - Yi Song
- grid.11135.370000 0001 2256 9319Institute of Child and Adolescent Health, School of Public Health, National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Gareth Stratton
- grid.4827.90000 0001 0658 8800Applied Sport Technology Exercise and Medicine Research Centre, Faculty Science and Engineering, Swansea University, Wales, UK
| | - Brian W. Timmons
- grid.414148.c0000 0000 9402 6172Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON Canada ,grid.25073.330000 0004 1936 8227Child Health and Exercise Medicine Program, McMaster University, Hamilton, ON Canada
| | - Grant R. Tomkinson
- grid.1026.50000 0000 8994 5086Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, SA Australia ,grid.266862.e0000 0004 1936 8163Department of Education, Health and Behavior Studies, University of North Dakota, Grand Forks, ND USA
| | - Mark S. Tremblay
- grid.414148.c0000 0000 9402 6172Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON Canada ,grid.28046.380000 0001 2182 2255Department of Pediatrics, University of Ottawa, Ottawa, ON Canada ,grid.34428.390000 0004 1936 893XDepartment of Health Sciences, Carleton University, Ottawa, ON Canada
| | - Stephen H. S. Wong
- grid.10784.3a0000 0004 1937 0482Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Brooklyn J. Fraser
- grid.1009.80000 0004 1936 826XMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS Australia
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Sun J, Wu H, Zhao M, Magnussen CG, Xi B. Dose-response association of leisure time physical activity with mortality in adults with major chronic diseases. Front Nutr 2022; 9:1048238. [PMID: 36618699 PMCID: PMC9811256 DOI: 10.3389/fnut.2022.1048238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 11/22/2022] [Indexed: 12/24/2022] Open
Abstract
We aimed to evaluate the association between leisure-time physical activity (PA) and mortality risk in adults with major chronic diseases. A total of 170,579 adults with major chronic diseases aged 30-84 years from the U.S. National Health Interview Surveys (1997-2014) with linkage to the National Death Index (NDI) through December 31, 2015 were included in this study. During a median follow-up of 7.25 years, 36,914 adults with chronic diseases died from all causes, 8,767 died from cardiovascular disease (CVD), and 9,090 died from cancer. Compared with participants with no leisure-time PA, those with a low level (10-59 min/week) of total leisure-time PA had a 23% [hazard ratio (HR) 0.77, 95% confidence interval (CI) 0.73-0.82] reduced risk of all-cause mortality. Adults with higher levels of leisure time had more reduced risk of all-cause mortality, as well as CVD-specific and cancer-specific mortality. Adults with leisure-time PA ≥ 1,500 min/week had more reduced risk of CVD-specific mortality (61%) but less reduced risk of cancer-specific mortality (29%) compared with the reduced risk of all-cause mortality (43%). There was an inversely non-linear dose-response relationship between leisure-time PA and all-cause and cause-specific mortality. Reduced risk of all-cause and cancer-specific mortality between leisure-time light-to-moderate PA and vigorous-intensity PA time were largely comparable. Low and high levels of leisure-time PA showed substantial survival benefits compared with no leisure-time PA in adults with major chronic diseases. The light-to-moderate-intensity leisure-time PA is largely comparable with vigorous PA to provide survival benefits for all-cause and cancer-specific mortality.
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Affiliation(s)
- Jiahong Sun
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Qilu Hospital, Shandong University, Jinan, Shandong, China
| | - Han Wu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Qilu Hospital, Shandong University, Jinan, Shandong, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Costan G. Magnussen
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland,Centre for Population Health Research, University of Turku, Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Qilu Hospital, Shandong University, Jinan, Shandong, China,*Correspondence: Bo Xi,
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Xing S, Zhao M, Magnussen CG, Xi B. Proportion and trend in the age of cigarette smoking initiation among adolescent smoking experiencers aged 13-15 years in 148 countries/territories. Front Public Health 2022; 10:1054842. [PMID: 36518585 PMCID: PMC9742527 DOI: 10.3389/fpubh.2022.1054842] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 11/10/2022] [Indexed: 11/29/2022] Open
Abstract
Background Limited studies have assessed the recent proportion and trend in the age of cigarette smoking initiation among adolescent smoking experiencers globally. We aimed to assess the recent global proportion, associated factors and the long-term trend of the initiated age of cigarette smoking among adolescent smoking experiencers. Methods We used data from the most recent Global Youth Tobacco Survey on 99,728 adolescent smoking experiencers aged 13-15 years from 144 countries/territories (hereafter "countries") that had conducted at least one survey in 2010-20, to assess the recent proportion of the age of cigarette smoking initiation. Additionally, we used data from 148 countries that had conducted ≥2 surveys between 1999 and 2020, to assess the trend in the average age of cigarette smoking initiation. Results Among 99,728 adolescent smoking experiencers aged 13-15 years, the proportions of initiating cigarette smoking when aged ≤ 9 years, 10-11 years, 12-13 years, and 14-15 years were 22.8% (95%CI 21.3-24.4), 18.8% (17.3-20.2), 36.8% (34.5-39.2), and 21.6% (19.9-23.2), respectively. The average age of cigarette smoking initiation decreased by 0.44 years per 5 calendar-years averagely in 17 (11.5%) of 148 countries, was unchanged in 95 (64.2%) countries, and increased by 0.38 years per 5 calendar-years averagely in 36 (24.3%) countries. Higher income category (reference group: low-income countries; lower-middle-income: OR = 0.44, 95%CI = 0.28-0.70; upper-middle-income: OR = 0.56, 95%CI = 0.38-0.83; high-income: OR = 0.35, 95%CI = 0.22-0.53) and Framework Convention on Tobacco Control ratification (OR = 0.51, 95%CI = 0.42-0.63) were inversely associated with early cigarette smoking initiation. Conclusions A substantial proportion (~80%) of adolescent smoking experiencers aged 13-15 years initiated cigarette smoking before 13 years, and the average age of cigarette smoking initiation decreased or remained unchanged in nearly three quarters of the countries surveyed. These findings emphasize that national governments around the world need to strengthen intervention strategies and measures aimed at children and adolescents to prevent smoking up-take.
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Affiliation(s)
- Shuhui Xing
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Costan G. Magnussen
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland,Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China,*Correspondence: Bo Xi
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38
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Yang H, Ma C, Zhao M, Magnussen CG, Xi B. Prevalence and trend of smokeless tobacco use and its associated factors among adolescents aged 12-16 years in 138 countries/territories, 1999-2019. BMC Med 2022; 20:460. [PMID: 36434646 PMCID: PMC9700970 DOI: 10.1186/s12916-022-02662-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 11/14/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Smokeless tobacco use is popular in some regions worldwide, but it receives less attention compared to cigarette smoking. We aimed to estimate the recent prevalence of, and trends in, smokeless tobacco use and to examine its associated factors among adolescents aged 12-16 years in 138 countries/territories (hereafter "countries") from 1999 to 2019. METHODS Data from the Global Youth Tobacco Survey conducted in 138 countries in 2010-2019 and the National Youth Tobacco Survey conducted in the United States in 2019 were used to calculate the prevalence of current smokeless tobacco use and investigate its associated factors among adolescents aged 12-16 years. We also assessed the trend in the prevalence of smokeless tobacco use in 100 countries that had conducted more than one survey from 1999 to 2019. RESULTS The overall prevalence of current smokeless tobacco use was 4.4% (95% confidence interval [CI] 4.0-4.9), with 5.7% (5.1-6.3) for boys, 3.1% (2.6-3.5) for girls, 3.9% (3.5-4.4) for adolescents aged 12-14 years and 5.4% (4.8-5.9) for those aged 15-16 years. The prevalence was highest in the South-East Asian region (6.1%, 4.4-7.7) and lowest in the Western Pacific region (2.0%, 1.7-2.4). The prevalence of smokeless tobacco use decreased in 57 of 100 countries, increased in 32 countries, and remained unchanged in 11 countries. Current cigarette smoking (odds ratio [OR]=2.00, 95% CI=1.68-2.39), other tobacco product use (OR=6.03, 95% CI=4.92-7.40), tobacco advertisement exposure (OR=1.44, 95% CI=1.19-1.74), being offered free tobacco products (OR=2.01, 95% CI=1.66-2.42), and not being taught about dangers of smoking (OR=1.28, 95% CI=1.09-1.50) were all positively associated with current smokeless tobacco use. CONCLUSIONS Smokeless tobacco use among adolescents remains a public health concern worldwide. Although the prevalence among adolescents decreased in most countries, it remains high especially in the South-East Asian region. More strict and effective strategies and measures are needed to further curb the smokeless tobacco use among adolescents.
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Affiliation(s)
- Hui Yang
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Chuanwei Ma
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
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39
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Ma C, Yang H, Zhao M, Magnussen CG, Xi B. Prevalence of waterpipe smoking and its associated factors among adolescents aged 12-16 years in 73 countries/territories. Front Public Health 2022; 10:1052519. [PMID: 36466543 PMCID: PMC9714343 DOI: 10.3389/fpubh.2022.1052519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 11/02/2022] [Indexed: 11/18/2022] Open
Abstract
Introduction To describe the recent prevalence of, and trends in, waterpipe smoking and to examine its associated factors among adolescents aged 12-16 years in 73 countries/territories (hereafter "countries"). Methods Data from 72 countries that had conducted a Global Youth Tobacco Survey (GYTS) in 2010-2019 and from the National Youth Tobacco Survey in the United States in 2019 were used to assess the recent prevalence of waterpipe smoking and to examine its associated factors among adolescents aged 12-16 years. Data from 38 countries that had carried out at least 2 surveys from 2000 to 2019 were used to determine trends in the prevalence of waterpipe smoking among adolescents. Results The recent prevalence of current waterpipe smoking (on 1 day during the past 30 days) among adolescents was 6.9% (95%CI 6.4-7.5). The prevalence was highest in the European region (10.9%, 9.9-11.8) and Eastern Mediterranean region (10.7%, 9.5-11.9), but lowest in the Western Pacific region (1.9%, 1.4-2.4). The prevalence of current waterpipe smoking increased or remained unchanged in 19 (50%) of 38 countries, but decreased in the remaining 19 countries (50%). Parental smoking, closest friends' smoking, secondhand smoke exposure, tobacco advertisement exposure, not being taught the dangers of smoking, particularly cigarette smoking, were positively associated with adolescent waterpipe smoking. Discussion Waterpipe smoking among adolescents remains a major public health issue worldwide, especially in the regions of Europe and the Eastern Mediterranean. Effective prevention and control strategies and measures are needed to curb the epidemic of adolescent waterpipe smoking.
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Affiliation(s)
- Chuanwei Ma
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Hui Yang
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Costan G. Magnussen
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland,Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China,*Correspondence: Bo Xi
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40
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Meng Y, Magnussen CG, Wu F, Juonala M, Buscot MJ, Pahkala K, Hutri-Kähönen N, Kähönen M, Laitinen T, Viikari JSA, Raitakari OT, Sharman JE. Impact of within-visit systolic blood pressure change patterns on blood pressure classification: the Cardiovascular Risk in Young Finns Study. Eur J Prev Cardiol 2022; 29:2090-2098. [PMID: 35653303 DOI: 10.1093/eurjpc/zwac108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 05/19/2022] [Accepted: 05/21/2022] [Indexed: 01/11/2023]
Abstract
AIMS Most international guidelines recommend that repeat blood pressure (BP) readings are required for BP classification. Two international guidelines diverge from this by recommending that no further BP measurements are required if the first clinic BP is below a hypertension threshold. The extent to which within-visit BP variability patterns change over time, and whether this could impact BP classification is unknown. We sought to examine this. METHODS AND RESULTS Data were from the Cardiovascular Risk in Young Finns Study, a prospective cohort study. Up to 2799 participants were followed from childhood (9-15 years) to adulthood (18-49 years) over up to six visits. Patterns of within-visit systolic BP (SBP) variability were defined as no-change, decrease, increase between consecutive readings (with 5 mmHg change thresholds). Classification of SBP (normal, high-normal, hypertension) using the first reading was compared with repeat readings. On average, SBP decreased with subsequent measures, but with major individual variability (no-change: 56.9-62.7%; decrease: 24.1-31.6%; increase: 11.5-16.8%). Patterns of SBP variability were broadly similar from childhood to adulthood, with the highest prevalence of an increase among participants categorized with normal SBP (12.6-20.3%). The highest prevalence of SBP reclassification occurred among participants with hypertension (28.9-45.3% reclassified as normal or high-normal). The prevalence of reclassification increased with the magnitude of change between readings. CONCLUSION There is a major individual variation of within-visit SBP change in childhood and adulthood and can influence BP classification. This highlights the importance of consistency among guidelines recommending that repeat BP measurements are needed for BP classification.
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Affiliation(s)
- Yaxing Meng
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Costan G Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland.,Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Feitong Wu
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku, Finland.,Division of Medicine, Turku University Hospital, Turku, Finland
| | - Marie-Jeanne Buscot
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland.,Paavo Nurmi Centre, Sports & Exercise Medicine Unit, Department of Physical Activity and Health, University of Turku, Turku, Finland
| | - Nina Hutri-Kähönen
- Department of Pediatrics, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Tomi Laitinen
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - Jorma S A Viikari
- Department of Medicine, University of Turku, Turku, Finland.,Division of Medicine, Turku University Hospital, Turku, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland.,Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - James E Sharman
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
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Agbaje AO, Lloyd-Jones DM, Magnussen CG, Tuomainen TP. Simulated intervention and optimal timing for attenuating dyslipidaemia-related atherosclerotic progression in the young: a temporal inverse allocation analysis of the ALSPAC cohort. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Carotid intima-media thickness (cIMT) progression strongly predicts cardiovascular events among adults. We recently reported that cumulative dyslipidaemia was longitudinally associated with cIMT progression among adolescents and young adults. It is of clinical and public health significance to identify the most sensitive or crucial timing for preventing cardiovascular diseases before mid-adulthood. One method for addressing these issues is to perform a temporal inverse allocation to simulate the effects of treatment for dyslipidaemia at specific life stages, in order to inform effective timing of treatment. The temporal inverse allocation is similar to the principle of isotemporal substitution, however, rather than eliminating variables of interest, participants' categories are reversed, i.e participants with dyslipidaemia at a specific time point are assigned normal lipid levels and vice versa, while variables at other time points are unchanged.
Purpose
To simulate a treatment intervention on the longitudinal associations of total cholesterol (TC), non–high-density lipoprotein cholesterol (non–HDL-C), high-density lipoprotein cholesterol (HDL-C), triglyceride, and low-density lipoprotein cholesterol (LDL-C) with cIMT progression.
Methods
We studied 1779 British 15-year-olds (50% females) followed up for 9 years. TC, triglyceride, and HDL-C were measured in line with standard protocols at ages 15, 17, and 24 years, respectively. non-HDL-C and LDL-C were estimated. Lipid phenotypes were categorized based on the 2011 National Heart, Lung, and Blood Institute classification into normal (reference) and elevated/dyslipidaemia. cIMT of the right and left common carotid arteries were measured at 17 and 24 years with ultrasound. We conducted linear mixed-effect model analyses with temporal inverse allocation and adjusted for age, sex, cardiometabolic, and lifestyle factors.
Results
Normalized lipid at age 24 years, with elevated lipid and dyslipidaemia at 15 and 17 years did not alter the longitudinal associations of elevated/dyslipidaemia TC: effect estimate 0.028 mm [95% CI 0.007 to 0.049; p=0.010], non–HDL-C: 0.027 mm [0.006 to 0.049; p=0.013], and low HDL-C: −0.030 mm [−0.048 to −0.013; p=0.001] from 15 through 24 years with the 7-year cIMT progression. However, normalized lipid level at age 17 years with elevated lipid and dyslipidaemia at 15 and 24 years significantly attenuated the longitudinal associations of elevated/dyslipidaemia TC: effect estimate 0.005 mm [−0.015 to 0.025; p=0.627], non–HDL-C: 0.013 mm [−0.008 to 0.034; p=0.235], and low HDL-C: −0.016 mm [−0.031 to −0.0001; p=0.049] from 15 through 24 years with cIMT progression. Triglyceride and LDL-C were not associated with cIMT progression.
Conclusion
This simulated intervention suggests that lowering lipids during late adolescence may be effective in preventing and reversing cIMT progression, a marker of preclinical atherosclerosis, in the young.
Funding Acknowledgement
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Finnish Cultural Foundation
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Affiliation(s)
- A O Agbaje
- University of Eastern Finland, Institute of Public Health and Clinical Nutrition, School of Medicine, Faculty of Health Sciences , Kuopio , Finland
| | - D M Lloyd-Jones
- Northwestern University, Department of Preventive Medicine, Feinberg School of Medicine , Chicago , United States of America
| | - C G Magnussen
- Baker Heart and Diabetes Institute , Melbourne , Australia
| | - T P Tuomainen
- University of Eastern Finland, Institute of Public Health and Clinical Nutrition, School of Medicine, Faculty of Health Sciences , Kuopio , Finland
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Agbaje AO, Lloyd-Jones DM, Magnussen CG, Tuomainen TP. Longitudinal associations of cumulative dyslipidaemia from mid-adolescence through young adulthood with arterial stiffness progression: the ALSPAC study. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Arterial stiffness assessed with carotid-femoral pulse wave velocity (cfPWV) strongly predicts the risk of cardiovascular morbidity and mortality. Recent temporal causal evidence suggests that cfPWV progression may precede the development of cardiometabolic diseases in adolescence, young adults, and middle-aged adults. However, the longitudinal relationship between cfPWV progression and dyslipidaemia in the young population is unclear.
Purpose
To investigate the longitudinal associations of total cholesterol (TC), non–high-density lipoprotein cholesterol (non–HDL-C), high-density lipoprotein cholesterol (HDL-C), triglyceride, and low-density lipoprotein cholesterol (LDL-C) with cfPWV progression in adolescents.
Methods
We studied 1779 British 15-year-olds (50% females) followed up for 9 years. TC, triglyceride, and HDL-C were measured in line with standard protocols at ages 15, 17, and 24 years, respectively. LDL-C and non-HDL-C were estimated. Lipid phenotypes were categorized based on the 2011 National Heart, Lung, and Blood Institute classification into normal (reference), and elevated/dyslipidaemia. At age 17 and 24 years, cfPWV was computed from pressure waveforms obtained using the Vicorder device. We conducted linear mixed-effect model analyses and adjusted for sex, age, high sensitivity C-reactive protein, glucose, insulin, total fat mass, lean mass, heart rate, systolic blood pressure, diastolic blood pressure, sedentary time, light physical activity, moderate to vigorous physical activity, family history of cardiometabolic disease, socioeconomic status, pubertal attainment, and smoking status, in addition to lipid covariates such as HDL-C, LDL-C, or triglyceride depending on the predictor. However, TC and non-HDL-C analyses were not adjusted for lipids.
Results
Participants' mean (SD) age in years at different time points were 15.43 (0.29), 17.69 (0.31), and 24.53 (0.72). Persistently elevated/dyslipidaemia TC: effect estimate 0.006 m/s [95% CI −0.023 to 0.035; p=0.683], non–HDL-C: 0.004 m/s [−0.025 to 0.033; p=0.771], LDL-C: 0.017 m/s [−0.019 to 0.052; p=0.351], and Triglyceride: −0.009 m/s [−0.036 to 0.018; p=0.532] from 15 through 24 years were not cumulatively associated with the 7-year cfPWV progression. Persistent borderline-low/very-low HDL-C: 0.007 m/s [−0.017 to 0.031; p=0.556] was not associated with cfPWV progression.
Conclusion
These findings suggest that elevated lipids and dyslipidaemia from mid-adolescence through young adulthood were not associated with arterial stiffness progression, a marker of preclinical arteriosclerosis. Thus, lipid-lowering interventions targeted at preventing or reversing arterial stiffness progression in the young may be ineffective, particularly in a healthy young population.
Funding Acknowledgement
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Finnish Cultural Foundation
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Affiliation(s)
- A O Agbaje
- University of Eastern Finland, Institute of Public Health and Clinical Nutrition, School of Medicine, Faculty of Health Sciences , Kuopio , Finland
| | - D M Lloyd-Jones
- Northwestern University, Department of Preventive Medicine, Feinberg School of Medicine , Chicago , United States of America
| | - C G Magnussen
- Baker Heart and Diabetes Institute , Melbourne , Australia
| | - T P Tuomainen
- University of Eastern Finland, Institute of Public Health and Clinical Nutrition, School of Medicine, Faculty of Health Sciences , Kuopio , Finland
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Agbaje AO, Lloyd-Jones DM, Magnussen CG, Tuomainen TP. Cumulative dyslipidaemia from mid-adolescence through young adulthood with carotid intima-media thickness progression: a 9-year longitudinal study. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Carotid intima-media thickness (cIMT) progression was recently established as a predictor of cardiovascular events among adults. To date, a single cIMT measure has largely been used as a marker of preclinical atherosclerotic changes in the young population and dyslipidaemia has been associated with single measured cIMT. The longitudinal relationship between dyslipidaemia and repeated measure of cIMT in a large apparently healthy young population remains unknown.
Purpose
To investigate the longitudinal associations of total cholesterol (TC), non–high-density lipoprotein cholesterol (non–HDL-C), high-density lipoprotein cholesterol (HDL-C), triglyceride, and low-density lipoprotein cholesterol (LDL-C) with cIMT progression in adolescence.
Methods
We studied 1779 British 15-year-olds (50% females) followed up for 9 years. TC, triglyceride, and HDL-C were measured in line with standard protocols at ages 15, 17, and 24 years, respectively. LDL-C and non-HDL-C were estimated. Lipid phenotypes were categorized based on the 2011 National Heart, Lung, and Blood Institute classification into normal (reference), elevated, and dyslipidaemia. cIMT from the right and left common carotid arteries at 17 years was assessed by ultrasound using a linear 12-MHz transducer and cIMT from the right and left common carotid arteries at 24 years was measured using an ultrasound machine (CardioHealth Panasonic and a 13.5 MHz linear array broadband transducer (probe; centre frequency 9.0 MHz). We conducted linear mixed-effect model analyses and adjusted for sex, age, high sensitivity C-reactive protein, glucose, insulin, total fat mass, lean mass, heart rate, systolic blood pressure, diastolic blood pressure, sedentary time, light physical activity, moderate to vigorous physical activity, family history of cardiometabolic disease, socioeconomic status, pubertal attainment, and smoking status, in addition to lipid covariates such as HDL-C, LDL-C, or triglyceride depending on the predictor. However, TC and non-HDL-C analyses were not adjusted for lipids.
Results
Participants mean (SD) age in years at different time points were 15.43 (0.29), 17.69 (0.31), and 24.53 (0.72). Persistently elevated TC: effect estimate 0.026 mm [95% CI 0.004 to 0.049; p=0.024], elevated non–HDL-C: 0.033 mm [0.009 to 0.056; p=0.007], and elevated LDL-C: 0.035 mm [0.003 to 0.067); p=0.034], from 15 through 24 years were cumulatively associated with the 7-year cIMT progression. Persistent borderline-low HDL-C: −0.027 mm [−0.050 to −0.005; p=0.019] and very-low HDL-C: −0.035 mm [−0.057 to −0.013; p=0.002] levels were associated with cIMT progression. Triglyceride was not associated with cIMT progression.
Conclusion
These findings suggest that elevated lipids from mid-adolescence through young adulthood were associated with the progression of carotid wall thickening, a marker of preclinical atherosclerosis.
Funding Acknowledgement
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Finnish Cultural Foundation
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Affiliation(s)
- A O Agbaje
- University of Eastern Finland, Institute of Public Health and Clinical Nutrition, School of Medicine, Faculty of Health Sciences , Kuopio , Finland
| | - D M Lloyd-Jones
- Northwestern University, Department of Preventive Medicine, Feinberg School of Medicine , Chicago , United States of America
| | - C G Magnussen
- Baker Heart and Diabetes Institute , Melbourne , Australia
| | - T P Tuomainen
- University of Eastern Finland, Institute of Public Health and Clinical Nutrition, School of Medicine, Faculty of Health Sciences , Kuopio , Finland
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Zhou Z, Ong KL, Whelton SP, Allison MA, Curtis AJ, Blaha MJ, Breslin M, Tonkin A, Magnussen CG, Budoff M, Nelson MR. Impact of Blood Lipids on 10-Year Cardiovascular Risk in Individuals Without Dyslipidemia and With Low Risk Factor Burden. Mayo Clin Proc 2022; 97:1883-1893. [PMID: 35760597 DOI: 10.1016/j.mayocp.2022.03.025] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 02/15/2022] [Accepted: 03/15/2022] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To determine the association of plasma lipids with the prevalence of subclinical atherosclerosis and 10-year risk of incident cardiovascular (CV) events among healthy individuals without dyslipidemia and with low risk factor burden. PATIENTS AND METHODS The analysis (June 24, 2020, through June 12, 2021) included 1204 participants from the Multi-Ethnic Study of Atherosclerosis (MESA) study who were current nonsmokers and did not have CV disease, hypertension (blood pressure ≥130/80 mm Hg or antihypertensive use), diabetes (fasting glucose ≥126 mg/dL or glucose-lowering medication use), and dyslipidemia (low-density-lipoprotein-cholesterol [LDL-C] ≥160 mg/dL, high-density-lipoprotein-cholesterol [HDL-C] <40 mg/dL, total cholesterol [TC] ≥240 mg/dL, triglycerides [TGs] ≥150 mg/dL, or lipid-lowering medication use) at baseline. Associations of lipids with baseline atherosclerosis (presence of carotid plaque and/or coronary calcification) and incident CV events over 10 years were examined using multivariable relative risk regression and Cox regression, respectively. RESULTS At baseline, participants' median age was 54 (IQR, 49 to 62) years, and 10-year CV risk was 2.7% (IQR, 1.0% to 6.6%); 43.4% had subclinical atherosclerosis. A 1-SD higher LDL-C (23.4 mg/dL), TC (24.7 mg/dL), non-HDL-C (25.3 mg/dL), TC/HDL-C (0.75), and LDL-C/HDL-C (0.66) was associated with a higher prevalence of atherosclerosis of between 6% and 9% (P<.05). For every 1-SD higher LDL-C, non-HDL-C, TC/HDL-C, LDL-C/HDL-C, and TG/HDL-C (0.49), the 10-year incidence of CV events was significantly increased by 40%, 44%, 51%, 49%, and 39%, respectively. For every 1-SD lower HDL-C (13.5 mg/dL), CV risk was increased by 37%. Triglycerides had no association with either outcome. CONCLUSION Except for TGs, all lipid variables were associated with atherosclerosis and future risk of CV disease among persons without dyslipidemia and with low risk factor burden.
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Affiliation(s)
- Zhen Zhou
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
| | - Kwok Leung Ong
- Lipid Research Group, School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Seamus P Whelton
- Division of Cardiology, Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Baltimore, MD, USA
| | - Matthew A Allison
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
| | - Andrea J Curtis
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Michael J Blaha
- Division of Cardiology, Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Baltimore, MD, USA
| | - Monique Breslin
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Andrew Tonkin
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Costan G Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Matthew Budoff
- Department of Medicine, Harbor UCLA Medical Center, Los Angeles, CA, USA
| | - Mark R Nelson
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
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Liu Z, Yang L, Zhao M, Magnussen CG, Xi B. Weight status change from birth to childhood and high carotid intima-media thickness in childhood. Pediatr Obes 2022; 17:e12927. [PMID: 35532009 DOI: 10.1111/ijpo.12927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 03/26/2022] [Accepted: 04/13/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND High birth weight or childhood overweight increases the risk of high carotid intima-media thickness (cIMT) in childhood. However, no studies have assessed the association between change in weight status from birth to childhood and cIMT in childhood. OBJECTIVES We examined the association between weight status change from birth to childhood and cIMT in childhood based on a population-based study of Chinese children. METHODS Data were from the Huantai Childhood Cardiovascular Health Cohort Study. A total of 1307 primary school children aged 6-11 years were included. Children were categorized into four groups based on their weight status at birth and at childhood: persistently normal weight, weight loss, weight gain, and persistently high weight. RESULTS Compared with children with persistently normal weight from birth to childhood, those with weight gain (odds ratio [OR] = 6.01, 95% confidence interval [CI] = 3.36-10.76) and persistently high weight (OR = 5.78, 95% CI = 2.60-12.82) had increased odds of high cIMT in childhood. In contrast, children who had high birth weight but became normal weight in childhood did not have significantly increased odds of high cIMT in childhood (OR = 1.27, 95% CI = 0.28-5.67). CONCLUSIONS Overweight in childhood was associated with increased odds of high cIMT irrespective of birth weight status. The odds of high cIMT in childhood could be reversed if newborn with high birth weight become normal weight in childhood.
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Affiliation(s)
- Ziqi Liu
- Department of Epidemiology/Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, School of Public Health/Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Lili Yang
- Department of Epidemiology/Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, School of Public Health/Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.,Research Center of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology/Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, School of Public Health/Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
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Sun J, Ma C, Zhao M, Magnussen CG, Xi B. Daytime napping and cardiovascular risk factors, cardiovascular disease, and mortality: A systematic review. Sleep Med Rev 2022; 65:101682. [PMID: 36027794 DOI: 10.1016/j.smrv.2022.101682] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 07/20/2022] [Accepted: 07/26/2022] [Indexed: 10/15/2022]
Abstract
Associations between night sleep duration and cardiovascular risk factors in adults have been well documented. However, the associations for daytime napping remain unclear. In this review, six databases were searched for eligible publications to April 8, 2022. A total of 11 articles were identified for umbrella review on the association of daytime napping with diabetes, metabolic syndrome (MetS), cardiovascular disease (CVD), and mortality in adults, 97 for systematic review on the association with CVD and several CVD risk factors. Our umbrella review showed that the associations of daytime napping with diabetes, MetS, CVD, and mortality in most meta-analyses were mainly supported by weak or suggestive evidence. Our systematic review showed that long daytime napping (≥1 h/d) was associated with higher odds of several CVD risk factors, CVD, and mortality, but no significant association was found between short daytime napping and most of the abovementioned outcomes. Our dose-response meta-analyses showed that daytime napping <30 min/d was not significantly associated with higher odds of most CVD risk factors and CVD among young and middle-aged adults. However, among older adults aged >60 years, we observed significant dose-response associations of daytime napping with higher odds of diabetes, dyslipidemia, MetS, and mortality starting from 0 min/d.
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Affiliation(s)
- Jiahong Sun
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Chuanwei Ma
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
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Abstract
In this Perspective, Bo Xi and Costan Magnussen discuss the trends in smoking prevalence in China reported by Mei Zhang and colleagues, and the need for effective tobacco control strategies.
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Affiliation(s)
- Bo Xi
- Department of Epidemiology, School of Public Health/Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- * E-mail:
| | - Costan G. Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Research Center of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
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48
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Fraser BJ, Blizzard L, Cleland V, Buscot MJ, Schmidt MD, Dwyer T, Venn AJ, Magnussen CG. Childhood Factors Associated with Muscular Strength Trajectories between Childhood and Mid-adulthood. Med Sci Sports Exerc 2022; 54:1911-1918. [DOI: 10.1249/mss.0000000000002990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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49
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Meng Y, Buscot MJ, Juonala M, Wu F, Armstrong MK, Fraser BJ, Pahkala K, Hutri-Kähönen N, Kähönen M, Laitinen T, Viikari JSA, Raitakari OT, Magnussen CG, Sharman JE. Relative Contribution of Blood Pressure in Childhood, Young- and Mid-Adulthood to Large Artery Stiffness in Mid-Adulthood. J Am Heart Assoc 2022; 11:e024394. [PMID: 35699171 PMCID: PMC9238667 DOI: 10.1161/jaha.121.024394] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Background Blood pressure associates with arterial stiffness, but the contribution of blood pressure at different life stages is unclear. We examined the relative contribution of childhood, young‐ and mid‐adulthood blood pressure to mid‐adulthood large artery stiffness. Methods and Results The sample comprised 1869 participants from the Cardiovascular Risk in Young Finns Study who had blood pressure measured in childhood (6–18 years), young‐adulthood (21–30 years), and mid‐adulthood (33–45 years). Markers of large artery stiffness were pulse wave velocity and carotid distensibility recorded in mid‐adulthood. Bayesian relevant life course exposure models were used. For each 10‐mm Hg higher cumulative systolic blood pressure across the life stages, pulse wave velocity was 0.56 m/s higher (95% credible interval: 0.49 to 0.63) and carotid distensibility was 0.13%/10 mm Hg lower (95% credible interval: −0.16 to −0.10). Of these total contributions, the highest contribution was attributed to mid‐adulthood systolic blood pressure (relative weights: pulse wave velocity, childhood: 2.6%, young‐adulthood: 5.4%, mid‐adulthood: 92.0%; carotid distensibility, childhood: 5.6%; young‐adulthood: 10.1%; mid‐adulthood: 84.3%), with the greatest individual contribution coming from systolic blood pressure at the time point when pulse wave velocity and carotid distensibility were measured. The results were consistent for diastolic blood pressure, mean arterial pressure, and pulse pressure. Conclusions Although mid‐adulthood blood pressure contributed most to mid‐adulthood large artery stiffness, we observed small contributions from childhood and young‐adulthood blood pressure. These findings suggest that the burden posed by arterial stiffness might be reduced by maintaining normal blood pressure levels at each life stage, with mid‐adulthood a critical period for controlling blood pressure.
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Affiliation(s)
- Yaxing Meng
- Menzies Institute for Medical ResearchUniversity of Tasmania Hobart Australia
| | - Marie-Jeanne Buscot
- Menzies Institute for Medical ResearchUniversity of Tasmania Hobart Australia
| | - Markus Juonala
- Department of Medicine University of Turku Turku Finland.,Division of Medicine Turku University Hospital Turku Finland
| | - Feitong Wu
- Menzies Institute for Medical ResearchUniversity of Tasmania Hobart Australia
| | - Matthew K Armstrong
- Menzies Institute for Medical ResearchUniversity of Tasmania Hobart Australia
| | - Brooklyn J Fraser
- Menzies Institute for Medical ResearchUniversity of Tasmania Hobart Australia
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine University of Turku Turku Finland.,Centre for Population Health Research University of TurkuTurku University Hospital Turku Finland.,Paavo Nurmi Centre Sports & Exercise Medicine Unit Department of Physical Activity and Health University of Turku Turku Finland
| | - Nina Hutri-Kähönen
- Tampere Centre for Skills Training and Simulation Tampere University Tampere Finland
| | - Mika Kähönen
- Department of Clinical Physiology Tampere University HospitalFaculty of Medicine and Health TechnologyTampere University Tampere Finland
| | - Tomi Laitinen
- Department of Clinical Physiology and Nuclear Medicine Kuopio University HospitalUniversity of Eastern Finland Kuopio Finland
| | - Jorma S A Viikari
- Department of Medicine University of Turku Turku Finland.,Division of Medicine Turku University Hospital Turku Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine University of Turku Turku Finland.,Centre for Population Health Research University of TurkuTurku University Hospital Turku Finland.,Department of Clinical Physiology and Nuclear Medicine Turku University Hospital Turku Finland
| | - Costan G Magnussen
- Menzies Institute for Medical ResearchUniversity of Tasmania Hobart Australia.,Research Centre of Applied and Preventive Cardiovascular Medicine University of Turku Turku Finland.,Centre for Population Health Research University of TurkuTurku University Hospital Turku Finland.,Baker Heart and Diabetes Institute Melbourne Victoria Australia
| | - James E Sharman
- Menzies Institute for Medical ResearchUniversity of Tasmania Hobart Australia
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Cleland V, Tian J, Buscot MJ, Magnussen CG, Bazzano L, Burns TL, Daniels S, Dwyer T, Hutri-Kahonen N, Ikonen J, Jacobs D, Juonala M, Prineas R, Raitakari O, Sinaiko A, Steinberger J, Urbina EM, Woo JG, Venn A. Body-mass index trajectories from childhood to mid-adulthood and their sociodemographic predictors: Evidence from the International Childhood Cardiovascular Cohort (i3C) Consortium. EClinicalMedicine 2022; 48:101440. [PMID: 35706485 PMCID: PMC9112099 DOI: 10.1016/j.eclinm.2022.101440] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 03/30/2022] [Accepted: 04/20/2022] [Indexed: 11/27/2022] Open
Abstract
Background Understanding lifecourse trajectories of body-mass index (BMI) is important for identifying groups at high risk of poor health and potential target points for intervention. This study aimed to describe BMI trajectories from childhood to mid-adulthood in four population-based cohorts established in the 1970s and 1980s and to identify childhood sociodemographic factors related to trajectory membership. Methods Between Dec 17, 1970 and Dec 15, 1994, data were collected at the first visit from 9830 participants from the International Childhood Cardiovascular Cohort (i3C) Consortium, which includes participants from Australia (1985), Finland (1980) and the USA (1970-1994). Participants had at least three measures of height and weight, including one in childhood (6-18 years) and one in adulthood (>18 years), and were aged 30-49 years at last measurement. Latent Class Growth Mixture Modelling was used to identify lifecourse BMI trajectory groups and log multinomial regression models were fit to identify their childhood sociodemographic predictors. Findings Five consistent BMI trajectory groups were identified amongst the four cohorts: persistently low (35.9-58.6%), improving from high (0.7-4.8%), progressing to moderate (9.3-43.7%), progressing to high (1.1-6.0%), and progressing to very high (0.7-1.3%). An additional three BMI trajectory groups were identified in some, but not all, cohorts: adult onset high (three cohorts; 1.8-20.7%), progressing to moderate-high (two cohorts; 5.2-13.8%), and relapsing yo-yoers (alternating upward and downward; one cohort; 1.3%). In pooled analyses, each predictor variable in childhood, including age, gender, parental education and race, was associated with increased likelihood of belonging to the most (e.g., improving from high) and least (e.g., progressing to very high) favourable BMI trajectory groups, suggesting a U-shaped (or inverse U-shaped) pattern of association. Interpretation Five consistent BMI trajectory groups were identified across four cohorts from Australia, Finland, and the USA, mainly across two eras of birth. While most participants remained on a persistently low trajectory (50%), many demonstrated worsening BMI trajectories (47%), with only few demonstrating improving trajectories (<5%). Age, gender, parental education, and race appear to be important predictors of BMI trajectory group membership and need consideration in preventive and management strategies. Funding This study was supported by funding from the National Institutes of Health, National Heart, Lung and Blood Institute (grant number R01 HL121230).
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Affiliation(s)
- Verity Cleland
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, Tasmania 7000, Australia
| | - Jing Tian
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, Tasmania 7000, Australia
| | - Marie-Jeanne Buscot
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, Tasmania 7000, Australia
| | - Costan G. Magnussen
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, Tasmania 7000, Australia
- Centre for Population Health Research and Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku and Turku University Hospital, Turku, Finland
| | - Lydia Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Trudy L. Burns
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Stephen Daniels
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Terence Dwyer
- Nuffield Department of Women's and Reproductive Health, University of Oxford, UK
- Murdoch Children's Research Institute, Melbourne, Australia
| | - Nina Hutri-Kahonen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Johanna Ikonen
- Centre for Population Health Research and Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku and Turku University Hospital, Turku, Finland
| | - David Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Markus Juonala
- Department of Internal Medicine, Division of Medicine, University of Turku, Turku University Hospital, Turku, Finland
| | - Ronald Prineas
- Wake Forest School of Medicine, Division of Public Health Sciences, Winston-Salem, NC, USA
| | - Olli Raitakari
- Centre for Population Health Research and Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku and Turku University Hospital, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Alan Sinaiko
- Department of Pediatrics, University of Minnesota School of Medicine, Minneapolis, MN, USA
| | - Julia Steinberger
- Department of Pediatrics, University of Minnesota School of Medicine, Minneapolis, MN, USA
| | - Elaine M. Urbina
- The Heart Institute, Cincinnati Children's Hospital Medical Center, and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Jessica G. Woo
- Division of Biostatistics and Epidemiology and Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Alison Venn
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, Tasmania 7000, Australia
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