1
|
Neally SJ, Widen EM, Hoyo C, Martin CL. Associations between gestational exposure to neighbourhood socioeconomic deprivation and early childhood weight status. Pediatr Obes 2025; 20:e13188. [PMID: 39587697 PMCID: PMC11710976 DOI: 10.1111/ijpo.13188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 10/18/2024] [Accepted: 11/11/2024] [Indexed: 11/27/2024]
Abstract
OBJECTIVE This study aimed to examine associations between prenatal neighbourhood socioeconomic deprivation (NSD) with early offspring weight status and to assess potential modification by race and ethnicity. METHODS We used data from the Newborn Epigenetics STudy (NEST) cohort. Gestational NSD was assessed as neighbourhood deprivation index (NDI) tertiles. Offspring height and weight were assessed at 6 months (N = 1023), 1 year (N = 1268), 2 years (N = 1033) and 3 years (N = 1038). Multilevel logistic regression models estimated odds ratios (OR) and 95% confidence intervals (CI) for the relationship of NDI with overweight or obesity and rapid infant weight gain, adjusting for gestational parent age, race/ethnicity, marital status and educational attainment. Models were estimated in the total sample and also stratified by race and ethnicity. RESULTS Children exposed to NDI in the highest (compared to the lowest) tertile had increased odds of having overweight/obesity at 1 year (OR = 1.53, 95%CI = 1.09-2.15). In stratified models, children of NH Black gestational parents residing in the highest tertile of NDI (compared to the lowest) had increased odds of having overweight/obesity at 1 year (OR = 1.67, 95%CI = 1.00-2.77). CONCLUSIONS This findings suggest that higher gestational exposure to NSD may play a role in early childhood weight status, which has important implications for later development and health.
Collapse
Affiliation(s)
- Sam J. Neally
- Department of Epidemiology, UNC Gillings School of Public Health, Chapel Hill
| | | | - Cathrine Hoyo
- Department of Biological Sciences, and Center for Human Health and the Environment, North Carolina State University
| | - Chantel L. Martin
- Department of Epidemiology, UNC Gillings School of Public Health, Chapel Hill
| |
Collapse
|
2
|
Aris IM, Rifas-Shiman SL, Perng W, Yi L, de Ferranti SD, Hivert MF, Oken E. Trajectory of Cardiovascular Health Across Childhood and Adolescence. JAMA Cardiol 2024:2827837. [PMID: 39693062 DOI: 10.1001/jamacardio.2024.4022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2024]
Abstract
Importance The American Heart Association put forth the Life's Essential 8 construct to assess cardiovascular health (CVH) based on 8 behavioral and health factors. Few studies have characterized the natural history of CVH in early life or identified its sociodemographic determinants. Objective To characterize CVH trajectories across childhood and adolescence and identify associations with sociodemographic variables. Design, Setting, and Participants This study used data from the Project Viva prebirth cohort, an ongoing prospective prebirth cohort study conducted in a large multispecialty group practice in eastern Massachusetts among women who were pregnant and enrolled from April 1999 to November 2002. Participant inclusion required 3 or more CVH metrics in early childhood (median [range] age, 3.2 [2.8-6.2] years) or 4 metrics or more in midchildhood (median [range] age, 7.7 [6.6-10.9] years), early adolescence (median [range] age, 13.0 [11.9-16.6] years), or late adolescence (median [range] age, 17.5 [15.4-20.1] years). Of 2218 live births in the original cohort, 1523 were included in the present analysis. Data were analyzed from June to December 2023. Exposures Child sex, race, and ethnicity; maternal education; and household income. Main Outcomes and Measures CVH score (0-100 points) from early childhood to late adolescence, calculated as the unweighted average of all available CVH metrics at each life stage. Results Among 1523 children, 782 (51.4%) were male; 53 (3.5%) were non-Hispanic Asian, 231 (15.2%) were non-Hispanic Black, 988 (65.0%) were non-Hispanic White, and 175 (11.5%) were non-Hispanic other. The mean (SD) CVH score was 82.6 (8.6) in early childhood, 84.1 (8.3) in midchildhood, 82.0 (9.8) in early adolescence, and 73.8 (11.5) in late adolescence. The estimated mean (SD) age of inflection when CVH score declined was 10.1 (0.7) years for male children and 10.0 (0.6) years for female children; the decline in CVH was associated with health behaviors rather than health factors. Male children (vs female children) had faster CVH score gain before the inflection (β, 0.79 points/year; 95% CI, 0.67 to 0.91) and faster CVH score decline after the inflection (β, -0.33 points/year; 95% CI, -0.44 to -0.22). Non-Hispanic Black children (β, 0.32 years; 95% CI, 0.20 to 0.43) and children of other non-Hispanic races (β, 0.16 years; 95% CI, 0.05 to 0.28) children had later timing of inflection compared with non-Hispanic White children. Children of mothers without (vs with) a college degree or with household income $70 000 per year or less (vs greater than $70 000/year) exhibited lower CVH trajectory throughout childhood. Children of mothers with some college education (vs a college degree) had later timing of inflection (β, 0.16 years; 95% CI, 0.07 to 0.26) and slower CVH score gain before the inflection (β, -0.24 points/year; 95% CI, -0.40 to -0.08). Conclusions This study provides insight into the trajectory of CVH early in life, which may contribute to CVH disparities in adulthood, and identified modifiable health behaviors for focused prevention efforts to optimize CVH in early life.
Collapse
Affiliation(s)
- Izzuddin M Aris
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Sheryl L Rifas-Shiman
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
- Lifecourse Epidemiology of Adiposity and Diabetes Center and the Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora
| | - Li Yi
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | | | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Diabetes Unit, Massachusetts General Hospital, Boston
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| |
Collapse
|
3
|
Master L, Shen Y, Allan AC, Beydoun MA, Zonderman AB, Evans MK, Buxton OM, Gamaldo AA. Associations between AHA's Life's Essential 8 and cognition in midlife and older adults. Alzheimers Dement 2024; 20:8566-8575. [PMID: 39444232 DOI: 10.1002/alz.14294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 09/06/2024] [Accepted: 09/09/2024] [Indexed: 10/25/2024]
Abstract
INTRODUCTION This study evaluated the associations between Life's Essential 8 (LE8) and cognitive performance, and compared the strength of the relationships of Life's Simple 7 (LS7) and LE8 to cognition in midlife and older adults. METHODS Participants (N = 1539) were from the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study. Cross-sectional multivariable regression examined the associations between LE8 and cognition. Secondary analyses compared model performance between LE8 and LS7 measures on cognition from the same available sample. RESULTS Higher LE8 scores were associated with better global cognitive performance, working memory, and attention. The LS7 model outperformed the LE8 model on global cognitive performance, but the LE8 model outperformed the LS7 model for the working memory domain. DISCUSSION Better cardiovascular health (CVH) was associated with better cognitive performance among US middle-aged and older adults. However, the association between CVH and specific cognitive domains varies when using LE8 versus LS7. HIGHLIGHTS Cardiovascular health (CVH) is associated with cognitive performance. Life's Essential 8 (LE8) is a new construct to quantify CVH. Associations between LE8 and cognition were assessed. Higher LE8 was associated with better global cognitive performance. Higher LE8 was also associated with better working memory and attention.
Collapse
Affiliation(s)
- Lindsay Master
- Department of Biobehavioral Health, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Yuqi Shen
- Department of Biobehavioral Health, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Alexa C Allan
- Department of Human Development and Family Studies, Pennsylvania State University, University Park, Pennsylvania, USA
| | - May A Beydoun
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, Maryland, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, Maryland, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, Maryland, USA
| | - Orfeu M Buxton
- Department of Biobehavioral Health, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Alyssa A Gamaldo
- Department of Psychology, Clemson University, Clemson, South Carolina, USA
| |
Collapse
|
4
|
VanHawkins J, Peterson R, Harrall K, Moon B, Dabelea D, Kechris K, Perng W. The predictive utility of the in utero exposome for childhood adiposity in independent and integrated frameworks. Pediatr Obes 2024; 19:e13172. [PMID: 39327854 PMCID: PMC11560695 DOI: 10.1111/ijpo.13172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 07/10/2024] [Indexed: 09/28/2024]
Abstract
OBJECTIVES To assess the predictive potential of the in utero exposome in relation to childhood adiposity as indicated by body mass index z-scores (BMIz) and the fourth versus first quartile of % fat mass (FM) at median age of 4.6 years. METHODS We leveraged data on clinical risk factors for childhood obesity during the perinatal period, along with cord blood per/polyfluoroalkyl substances (PFAS) and cord blood DNA methylation, in 268 mother-offspring pairs. We used the sparsity ranked LASSO penalized regression framework for each outcome and assessed model performance based on % variability explained for BMIz and area under the receiver operating characteristic curve (AUC) for the fourth versus first quartile of %FM. We employed cross-validation for model tuning and split-sample validation for model evaluation. RESULTS Mean ± SD BMIz was 0.01 ± 1.1, %FM was 19.8 ± 6.34%. The optimal model for predicting BMIz explained 19.1% of the variability in the validation set and included only clinical characteristics: maternal pre-pregnancy BMI, paternal BMI, gestational weight gain, physical activity during pregnancy and child race/ethnicity. The optimal model for fourth versus first quartiles of %FM achieved an AUC of 0.82 ± 0.01 in the validation set, with the clinical features again emerging as the strongest predictors. CONCLUSION In this study sample, perinatal chemical exposures and the epigenome have low utility in predicting childhood adiposity, beyond known clinical risk factors.
Collapse
Affiliation(s)
- Jonathan VanHawkins
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Ryan Peterson
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Kylie Harrall
- Department of Epidemiology, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Brandy Moon
- Department of Epidemiology, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Dana Dabelea
- Department of Epidemiology, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Katerina Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Wei Perng
- Department of Epidemiology, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| |
Collapse
|
5
|
Guo S, Wijesuriya R, O'Connor M, Moreno-Betancur M, Goldfeld S, Burgner D, Liu R, Priest N. The effects of adverse and positive experiences on cardiovascular health in Australian children. Int J Cardiol 2024; 411:132262. [PMID: 38878872 DOI: 10.1016/j.ijcard.2024.132262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/01/2024] [Accepted: 06/12/2024] [Indexed: 06/25/2024]
Abstract
BACKGROUND Limited evidence suggests that positive experiences in childhood may promote cardiovascular health, providing additional opportunities for prevention and early intervention. This study aimed to examine the effects of adverse and positive experiences on cardiovascular health in late childhood. METHODS Data sources: Longitudinal Study of Australian Children (N = 1874). EXPOSURES Adverse and positive experiences assessed repeatedly (age 0-11 years). OUTCOMES Cardiovascular health (high versus low or moderate) quantified by four health behaviors (diet, physical activity, cigarette smoking, and sleep) and four health factors (body mass index, non-high-density lipoprotein, blood pressure, and blood glucose) (age 11-12 years) as per the American Heart Association's Life's Essential 8 metrics. ANALYSES Separate generalized linear models with log-Poisson links were used to estimate the effects of adverse and positive experiences on cardiovascular health, adjusting for confounders. RESULTS Children exposed to multiple adverse experiences (≥ 2) were less likely to have high cardiovascular health (RR = 0.82, 95% CI = 0.67 to 1.02) than those not exposed. Children exposed to multiple positive experiences (≥ 2) were more likely to have high cardiovascular health (RR = 1.14, 95% CI = 0.94 to 1.38) than those not exposed. Stratified analyses suggested that exposure to multiple positive experiences might buffer the detrimental effects of multiple adverse experiences on cardiovascular health. CONCLUSIONS Both adverse and positive experiences were found to be modestly associated with cardiovascular health in Australian children. Future research and practice should not only consider addressing childhood adversity but also use a strengths-based approach to promoting positive experiences to improve cardiovascular health.
Collapse
Affiliation(s)
- Shuaijun Guo
- Centre for Community Child Health, Murdoch Children's Research Institute, Melbourne, Australia; Department of Pediatrics, University of Melbourne, Melbourne, Australia.
| | - Rushani Wijesuriya
- Department of Pediatrics, University of Melbourne, Melbourne, Australia; Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Australia
| | - Meredith O'Connor
- Department of Pediatrics, University of Melbourne, Melbourne, Australia; Melbourne Children's LifeCourse Initiative, Murdoch Children's Research Institute, Melbourne, Australia; Faculty of Education, University of Melbourne, Melbourne, Australia
| | - Margarita Moreno-Betancur
- Department of Pediatrics, University of Melbourne, Melbourne, Australia; Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Australia
| | - Sharon Goldfeld
- Centre for Community Child Health, Murdoch Children's Research Institute, Melbourne, Australia; Department of Pediatrics, University of Melbourne, Melbourne, Australia
| | - David Burgner
- Department of Pediatrics, University of Melbourne, Melbourne, Australia; Inflammatory Origins Group, Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Australia; Department of General Medicine, Royal Children's Hospital, Melbourne, Australia; Department of Pediatrics, Monash University, Melbourne, Australia
| | - Richard Liu
- Centre for Community Child Health, Murdoch Children's Research Institute, Melbourne, Australia; Department of Pediatrics, University of Melbourne, Melbourne, Australia
| | - Naomi Priest
- Centre for Community Child Health, Murdoch Children's Research Institute, Melbourne, Australia; The Centre for Social Policy Research, Australian National University, Canberra, Australia; Indigenous Health Equity Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| |
Collapse
|
6
|
Xiao Y, Tang Y, Wang J, Yin S, Bai Y, Cui J, Yang Y, Huang K, Wang J. Cardiovascular health assessed by the new life's essential 8 and the prevalence of urinary incontinence in adults. BMC Public Health 2024; 24:2136. [PMID: 39107742 PMCID: PMC11304804 DOI: 10.1186/s12889-024-19604-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 07/26/2024] [Indexed: 08/10/2024] Open
Abstract
OBJECTIVE To explore the association between cardiovascular health (CVH) measured by Life's Essential 8 (LE8) and the prevalence of urinary incontinence (UI). METHOD A cross-section study was conducted using data from the National Health and Nutrition Examination Survey 2007-2012. 22,609 people aged ≥ 20 years with complete information on LE8 metrics and UI questionnaires were enrolled. Participants were divided into three groups (low: < 50, moderate: ≥ 50 and < 80, high: ≥ 80) based on the cut-off of LE8. Weighted proportions, multivariable logistic regression analysis and stratified logistic regression were performed to examine the association between LE8 and the prevalence of three types of UI separately (stress UI (SUI), urge UI (UUI), mixed UI (MUI)) by confounding factors adjusted. Spline smooth was conducted to find whether a linear relationship existed. In addition, sensitive analyses were also conducted to observe the stability. RESULT A total of 22,609 adults were involved in the study, and participants were divided into three groups (low 42.2 ± 6.3, moderate 66.1 ± 8.1, high 86.8 ± 5.1) according to the cut-off points of LE8. The multivariable logistic regression suggested that LE8 is inversely associated with the prevalence of SUI (OR = 0.98, 95%CI 0.98 to 0.99), UUI (OR = 0.98, 95%CI 0.98 to 0.99), and MUI (OR = 0.98, 95%CI 0.97 to 0.98) in the fully-adjusted model. Compared with the low group, people with high scores of LE8 had a lower prevalence of SUI (OR = 0.45, 95%CI 0.37 to 0.55), UUI (OR = 0.49, 95%CI 0.40 to 0.60), and MUI (OR = 0.41, 95%CI 0.30 to 0.55). The result of the sensitive analysis showed the robustness of the main analysis. CONCLUSION The prevalence of UI (SUI, UUI, or MUI) is inversely associated with the LE8 score, which suggests that maintaining a good CVH with a higher LE8 score is accompanied by lower prevalence rates of UUI, SUI, and MUI.
Collapse
Affiliation(s)
- Yunfei Xiao
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, P.R. China
| | - Yaxiong Tang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, P.R. China
| | - Jiahao Wang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, P.R. China
| | - Shan Yin
- Department of Urology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Yunjin Bai
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, P.R. China
| | - Jianwei Cui
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, P.R. China
| | - Yaqing Yang
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Ke Huang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, P.R. China
| | - Jia Wang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, P.R. China.
| |
Collapse
|
7
|
Perng W, Galai N, Zhao Q, Litonjua A, Geiger S, Sauder KA, O'Shea TM, Hivert MF, Oken E, Dabelea D, Aris IM. Sociodemographic Correlates of High Cardiovascular Health Across Childhood and Adolescence: A Prospective Study Among 2 Cohorts in the ECHO Consortium. J Am Heart Assoc 2024; 13:e036279. [PMID: 39082419 DOI: 10.1161/jaha.124.036279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Accepted: 06/25/2024] [Indexed: 08/03/2024]
Abstract
BACKGROUND This study seeks to characterize cardiovascular health (CVH) from early childhood to late adolescence and identify sociodemographic correlates of high CVH that serve as levers for optimizing CVH across early life. METHODS AND RESULTS Among 1530 youth aged 3 to 20 years from 2 cohorts in the ECHO (Environmental Influences on Child Health Outcomes) consortium, we first derived CVH scores on the basis of the Life's Essential 8 construct comprising 4 behavioral (nicotine use/exposure, physical activity, sleep, and diet) and 4 health factors (body mass index, blood pressure, non-high-density lipoprotein cholesterol, and fasting glucose) during early childhood (mean age, 3.5 years), middle childhood (8.0 years), early adolescence (13.3 years), and late adolescence (17.8 years). Next, we used generalized regression to estimate the probability of high (versus not high) CVH with respect to sociodemographic characteristics. Overall CVH score was stable across life stages: 81.2±7.6, 83.3±8.0, and 81.7±8.9 of 100 possible points in early childhood, middle childhood, and early adolescence, respectively. Accordingly, during these life stages, most children (63.3%-71.5%) had high CVH (80 to <100). However, CVH declined by late adolescence, with an average score of 75.5±10.2 and 39.4% high CVH. No children had optimal CVH (score=100) at any time. Correlates of high CVH include non-Hispanic White race and ethnicity, maternal college education, and annual household income >$70 000. These associations were driven by behavioral factors. CONCLUSIONS Although most youth maintained high CVH across childhood, the decline by late adolescence indicates that cardiovascular disease prevention should occur before the early teen years. Disparities in high CVH over time with respect to sociodemographic characteristics were explained by behavioral factors, pointing toward prevention targets.
Collapse
Affiliation(s)
- Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center University of Colorado Anschutz Medical Campus Aurora CO
- Department of Epidemiology Colorado School of Public Health University of Colorado Anschutz Medical Campus Aurora CO
| | - Noya Galai
- Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD
| | - Qi Zhao
- Department of Preventive Medicine College of Medicine University of Tennessee Health Science Center Memphis TN
| | - Augusto Litonjua
- Department of Pediatrics University of Rochester Medical Center Rochester NY
| | - Sarah Geiger
- Department of Kinesiology and Community Health College of Applied Health Sciences University of Illinois at Urbana-Champaign Champaign IL
| | - Katherine A Sauder
- Department of Implementation Science Wake Forest University School of Medicine Winston-Salem NC
| | - T Michael O'Shea
- Department of Pediatrics University of North Carolina School of Medicine Chapel Hill NC
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse Department of Population Medicine Harvard Medical School and Harvard Pilgrim Health Care Institute Boston MA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse Department of Population Medicine Harvard Medical School and Harvard Pilgrim Health Care Institute Boston MA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center University of Colorado Anschutz Medical Campus Aurora CO
- Department of Epidemiology Colorado School of Public Health University of Colorado Anschutz Medical Campus Aurora CO
- Department of Pediatrics School of Medicine University of Colorado Anschutz Medical Campus Aurora CO
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse Department of Population Medicine Harvard Medical School and Harvard Pilgrim Health Care Institute Boston MA
| |
Collapse
|
8
|
Te Hoonte F, Spronk M, Sun Q, Wu K, Fan S, Wang Z, Bots ML, Van der Schouw YT, Uijl A, Vernooij RWM. Ideal cardiovascular health and cardiovascular-related events: a systematic review and meta-analysis. Eur J Prev Cardiol 2024; 31:966-985. [PMID: 38149986 DOI: 10.1093/eurjpc/zwad405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 12/07/2023] [Accepted: 12/21/2023] [Indexed: 12/28/2023]
Abstract
AIMS The aim of this study was to systematically review and quantitatively summarize the evidence on the association between Life Simple's 7 (LS7) and multiple cardiovascular diseases (CVDs) and cardiometabolic diseases (CMDs). METHODS AND RESULTS EMBASE and PubMed were searched from January 2010 to March 2022 for observational studies that investigated the association between ideal cardiovascular health (CVH) with CVD or CMD outcomes in an adult population. Two reviewers independently selected studies according to the eligibility criteria, extracted data, and evaluated risk of bias. Data were analysed with a random-effects meta-analysis. This meta-analysis included 59 studies (1 881 382 participants). Participants with ideal CVH had a considerably lower risk of a variety of CVDs and CMDs as compared with those with poor CVH, varying from 40% lower risk for atrial fibrillation (AF) {hazard ratio [HR] = 0.60 [95% confidence interval (CI) 0.44-0.83]} to 82% lower risk for myocardial infarction [HR = 0.18 (95% CI 0.12-0.28)]. Intermediate CVH was associated with 27-57% lower risk in CVDs and CMDs compared with poor CVH, with the highest hazard for AF [HR = 0.73 (95% CI 0.59-0.91)] and the lowest hazard for peripheral arterial disease [HR = 0.43 (95% CI 0.30-0.60)]. CONCLUSION Ideal and moderate CVH were associated with a lower incidence of CVDs and CMDs than poor CVH. Life Simple's 7 holds significant potential for promoting overall CVH and thereby contributing to the prevention of CVDs.
Collapse
Affiliation(s)
- Femke Te Hoonte
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Merve Spronk
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Qi Sun
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Kangrui Wu
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Shiqi Fan
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Ziyi Wang
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Michiel L Bots
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Yvonne T Van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Alicia Uijl
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Department of Cardiology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- Division of Cardiology, Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Robin W M Vernooij
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| |
Collapse
|
9
|
Ho FK, Petermann-Rocha F. The Use of Life's Essential 8 as a Prediction Model and Beyond. JACC. ADVANCES 2024; 3:100944. [PMID: 38938872 PMCID: PMC11198251 DOI: 10.1016/j.jacadv.2024.100944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/29/2024]
Affiliation(s)
- Frederick K. Ho
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Fanny Petermann-Rocha
- Centro de Investigación Biomédica, Facultad de Medicina, Universidad Diego Portales, Santiago, Chile
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| |
Collapse
|
10
|
Hammad NM, Wolfson JA, de Ferranti SD, Willett WC, Leung CW. Food Insecurity and Ideal Cardiovascular Health Risk Factors Among US Adolescents. J Am Heart Assoc 2024; 13:e033323. [PMID: 38591328 PMCID: PMC11262504 DOI: 10.1161/jaha.123.033323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 03/08/2024] [Indexed: 04/10/2024]
Abstract
BACKGROUND Food insecurity, a social and economic condition of limited availability of healthy food, is a risk factor for adverse cardiovascular health outcomes among adults; few studies have been conducted in adolescents. This study explores the association between food insecurity and cardiovascular health risk factors among a nationally representative sample of US adolescents, adopting the American Heart Association's Life's Essential 8 metric. METHODS AND RESULTS We analyzed data from 2534 adolescents aged 12 to 19 years from the 2013 to 2018 National Health and Nutrition Examination Surveys. In the sample, 24.8% of adolescents lived in food-insecure households. After multivariable adjustment, food insecurity was associated with a 3.23-unit lower total Life's Essential 8 score (95% CI, -6.32, -0.15) and lower scores on diet quality (β=-5.39 [95% CI, -8.91, -1.87]) and nicotine exposure (β=-4.85 [95% CI, -9.24, -0.45]). Regarding diet, food insecurity was associated with 5% lower Healthy Eating Index-2015 scores [95% CI, -7%, -2%], particularly lower intakes of whole grains and seafood/plant proteins and marginally higher intake of added sugar. Regarding nicotine exposure, food insecurity was associated with ever use of a tobacco product among m (odds ratio, 1.74 [95% CI, 1.20-2.53]). Compared with their food-secure counterparts, food-insecure male (odds ratio, 1.98 [95% CI, 1.07-3.65]) and female (odds ratio, 3.22 [95% CI, 1.60-6.45]) adolescents had higher odds of living with a current indoor smoker. CONCLUSIONS In this nationally representative sample of adolescents, food insecurity was associated with multiple indicators of cardiovascular health risk. These findings underscore the need for public health interventions and policies to reduce food insecurity and improve cardioprotective behaviors during adolescence, with particular efforts targeting diet quality and nicotine exposure.
Collapse
Affiliation(s)
- Nour M. Hammad
- Department of NutritionHarvard T.H. Chan School of Public HealthBostonMA
| | - Julia A. Wolfson
- Department of Health Policy and ManagementJohns Hopkins Bloomberg School of Public HealthBaltimoreMD
- Department of International HealthJohns Hopkins Bloomberg School of Public HealthBaltimoreMD
| | | | - Walter C. Willett
- Department of NutritionHarvard T.H. Chan School of Public HealthBostonMA
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMA
| | - Cindy W. Leung
- Department of NutritionHarvard T.H. Chan School of Public HealthBostonMA
| |
Collapse
|
11
|
Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 374] [Impact Index Per Article: 374.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
Collapse
|