1
|
Kuklina EV, Merritt RK, Wright JS, Vaughan AS, Coronado F. Hypertension in Pregnancy: Current Challenges and Future Opportunities for Surveillance and Research. J Womens Health (Larchmt) 2024. [PMID: 38529887 DOI: 10.1089/jwh.2023.1072] [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] [Indexed: 03/27/2024] Open
Abstract
Hypertension in pregnancy (HP) includes eclampsia/preeclampsia, chronic hypertension, superimposed preeclampsia, and gestational hypertension. In the United States, HP prevalence doubled over the last three decades, based on birth certificate data. In 2019, the estimated percent of births with a history of HP varied from 10.1% to 15.9% for birth certificate data and hospital discharge records, respectively. The use of electronic medical records may result in identifying an additional third to half of undiagnosed cases of HP. Individuals with gestational hypertension or preeclampsia are at 3.5 times higher risk of progressing to chronic hypertension and from 1.7 to 2.8 times higher risk of developing cardiovascular disease (CVD) after childbirth compared with individuals without these conditions. Interventions to identify and address CVD risk factors among individuals with HP are most effective if started during the first 6 weeks postpartum and implemented during the first year after childbirth. Providing access to affordable health care during the first 12 months after delivery may ensure healthy longevity for individuals with HP. Average attendance rates for postpartum visits in the United States are 72.1%, but the rates vary significantly (from 24.9% to 96.5%). Moreover, even among individuals with CVD risk factors who attend postpartum visits, approximately 40% do not receive counseling on a healthy lifestyle. In the United States, as of the end of September 2023, 38 states and the District of Columbia have extended Medicaid coverage eligibility, eight states plan to implement it, and two states proposed a limited coverage extension from 2 to 12 months after childbirth. Currently, data gaps exist in national health surveillance and health systems to identify and monitor HP. Using multiple data sources, incorporating electronic medical record data algorithms, and standardizing data definitions can improve surveillance, provide opportunities to better track progress, and may help in developing targeted policy recommendations.
Collapse
Affiliation(s)
- Elena V Kuklina
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Robert K Merritt
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Janet S Wright
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Adam S Vaughan
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Fátima Coronado
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| |
Collapse
|
2
|
Kraus EM, Saintus L, Martinez AK, Brand B, Begley E, Merritt RK, Hamilton A, Rubin R, Sullivan A, Karras BT, Grannis S, Brooks IM, Mui JY, Carton TW, Hohman KH, Klompas M, Dixon BE. Fostering Governance and Information Partnerships for Chronic Disease Surveillance: The Multi-State EHR-Based Network for Disease Surveillance. J Public Health Manag Pract 2024; 30:244-254. [PMID: 38271106 PMCID: PMC10811406 DOI: 10.1097/phh.0000000000001810] [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] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
CONTEXT Electronic health records (EHRs) are an emerging chronic disease surveillance data source and facilitating this data sharing is complex. PROGRAM Using the experience of the Multi-State EHR-Based Network for Disease Surveillance (MENDS), this article describes implementation of a governance framework that aligns technical, statutory, and organizational requirements to facilitate EHR data sharing for chronic disease surveillance. IMPLEMENTATION MENDS governance was cocreated with data contributors and health departments representing Texas, New Orleans, Louisiana, Chicago, Washington, and Indiana through engagement from 2020 to 2022. MENDS convened a governance body, executed data-sharing agreements, and developed a master governance document to codify policies and procedures. RESULTS The MENDS governance committee meets regularly to develop policies and procedures on data use and access, timeliness and quality, validation, representativeness, analytics, security, small cell suppression, software implementation and maintenance, and privacy. Resultant policies are codified in a master governance document. DISCUSSION The MENDS governance approach resulted in a transparent governance framework that cultivates trust across the network. MENDS's experience highlights the time and resources needed by EHR-based public health surveillance networks to establish effective governance.
Collapse
Affiliation(s)
- Emily McCormick Kraus
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| | - Lina Saintus
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| | - Amanda K. Martinez
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| | - Bill Brand
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| | - Elin Begley
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| | - Robert K. Merritt
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| | - Andrew Hamilton
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| | - Rick Rubin
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| | - Amy Sullivan
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| | - Bryant Thomas Karras
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| | - Shaun Grannis
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| | - Ian M. Brooks
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| | - Joyce Y. Mui
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| | - Thomas W. Carton
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| | - Katherine H. Hohman
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| | - Michael Klompas
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| | - Brian E. Dixon
- The Task Force for Global Health, Public Health Informatics Institute, Decatur, Georgia (Dr Kraus, Ms Saintus, and Mr Brand); Kraushold Consulting, Denver, Colorado (Dr Kraus); National Association of Chronic Disease Directors, Decatur, Georgia (Ms Martinez and Dr Hohman); Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia (Ms Begley and Mr Merritt); AllianceChicago, Chicago, Illinois (Mr Hamilton); OneHealthPort, Seattle, Washington (Mr Rubin); Washington State Department of Health, Tumwater, Washington (Drs Sullivan and Karras); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana (Drs Grannis and Dixon); Indiana University School of Medicine, Indianapolis, Indiana (Dr Grannis); Health Data Compass, University of Colorado Anschutz, Aurora, Colorado (Dr Brooks and Ms Mui); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Klompas); and Indiana University Fairbanks School of Public Health, Indianapolis, Indiana (Dr Dixon)
| |
Collapse
|
3
|
Tong X, Yang Q, Asaithambi G, Merritt RK. Venous thromboembolism among Medicare acute ischaemic stroke patients with and without COVID-19. Stroke Vasc Neurol 2023; 8:259-262. [PMID: 36379616 PMCID: PMC10359775 DOI: 10.1136/svn-2022-001814] [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: 06/16/2022] [Accepted: 09/02/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND COVID-19 is associated with an increased risk of venous thromboembolism (VTE). This study examined the prevalence of VTE among acute ischaemic stroke (AIS) patients with and without a history of COVID-19. METHODS We identified AIS hospitalisations of Medicare fee-for-service (FFS) beneficiaries aged ≥65 years from 1 April 2020 to 31 March 2022. We compared the prevalence and adjusted prevalence ratio of VTE among AIS patients with and without a history of COVID-19. RESULTS Among 283 034 Medicare FFS beneficiaries with AIS hospitalisations, the prevalence of VTE was 4.51%, 2.96% and 2.61% among those with a history of hospitalised COVID-19, non-hospitalised COVID-19 and without COVID-19, respectively. As compared with patients without a history of COVID-19, the prevalence of VTE among patients with a history of hospitalised or non-hospitalised COVID-19 were 1.62 (95% CI 1.54 to 1.70) and 1.13 (95% CI 1.03 to 1.23) times greater, respectively. CONCLUSIONS There appeared to be a notably higher prevalence of VTE among Medicare beneficiaries with AIS accompanied by a current or prior COVID-19. Early recognition of coagulation abnormalities and appropriate interventions may help improve patients' clinical outcomes.
Collapse
Affiliation(s)
- Xin Tong
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Quanhe Yang
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Ganesh Asaithambi
- Department of Neurosciences, United Hospital, Saint Paul, Minnesota, USA
| | - Robert K Merritt
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| |
Collapse
|
4
|
Tong X, Yang Q, Gillespie C, Merritt RK. Abstract 75: History Of Covid-19 And Mortality Among Medicare Beneficiaries Hospitalized With Acute Ischemic Stroke, Medicare Cohort April 2020 - April 2022. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.75] [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] [Indexed: 02/05/2023]
Abstract
Introduction:
Although COVID-19 is associated with increased risk of acute ischemic stroke (AIS), limited evidence exists about the impact of prior COVID-19 on overall survival among older AIS patients.
Methods:
We analyzed data on Medicare fee-for-service beneficiaries ≥65 years of age hospitalized with AIS from 04/01/2020 to 04/30/2022. Overall survival was defined as time from date of AIS to date of death, or through end of follow-up on 05/31/2022. We used a Cox proportional hazard model to examine the association between history of COVID-19 and all-cause mortality among AIS patients, and obtained age, sex, race/ethnicity, National Institutes of Health Stroke Scale (NIHSS) score, and comorbidity-adjusted survival estimates.
Results:
Among 294,226 AIS patients, 92,893 died (31.6%) during a median of 268 days (IQR, 81—502 days) and 245,262 person-years of follow-up through 05/31/2022. The crude mortality rates were 792 (95% CI, 770—815), 557 (95% CI, 540—575), and 362 (95% CI, 360—365) per 1000 person-years among AIS patients with history of hospitalized COVID-19, history of non-hospitalized COVID-19, and without COVID-19, respectively. As compared to AIS without history of COVID-19, the adjusted hazard ratios for all-cause mortality were 1.28 (95% CI, 1.25—1.32) for those with history of hospitalized COVID-19, and 1.05 (95% CI, 1.01—1.08) for those with non-hospitalized COVID-19. The pattern of associations between history of COVID-19 and all-cause mortality were largely consistent across age groups, sex, and race/ethnicity.
Conclusion:
Having a history of COVID-19 was associated with significantly higher risk of all-cause mortality among Medicare beneficiaries hospitalized with AIS, especially among those with a history of severe COVID-19.
Collapse
|
5
|
Yang Q, Tong X, Merritt RK. Abstract WMP41: Changes In Stroke Mortality Among Black And White Persons Before And During Covid-19 Pandemic, United States 2015-2021. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.wmp41] [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] [Indexed: 02/05/2023]
Abstract
Introduction:
Although stroke death rates declined since 1950s, age-adjusted rates remained higher among non-Hispanic Black (NHB) than among non-Hispanic White (NHW) persons. No study has examined changes in disparities of stroke mortality among NHB and NHW before and during the COVID-19 pandemic.
Methods:
We calculated age-adjusted (US 2000 population) stroke death rates per 100,000 people among NHB and NHW ages ≥35 years from 2015-2021 using CDC WONDER. We compared NHB and NHW stroke death rates from 2015-2019 (before pandemic) to 2020-2021 (during pandemic) with respect to changes in rates, rate ratios (RR) and difference-in-difference in rates.
Results:
Trends and disparities of overall stroke death rates before the pandemic remained consistent between NHB (100.9 to 101.6 per 100,000 people) and NHW (69.1 to 70.6 per 100,000 people), with an average difference in rates of 31.3/100,000 and RR of 1.45. During the pandemic, stroke death rates increased but with different magnitudes among NHB (110.0 and 113.4 per 100,000) and NHW (72.0 and 73.1 per 100,000). Between pre-pandemic and pandemic periods, the absolute difference in rates increased 25% from 31.3 (95% confidence interval 30.8-31.7) to 39.1 (38.3-39.8) per 100,000 and the relative difference measured by RR increased from 1.45 (1.44-1.46) to 1.54 (1.53-1.55) (p<0.001). The difference-in-difference in rates and RR comparing before to during pandemic were 7.8 per 100,000 and 1.06, respectively, indicating widened disparities in stroke death rates (p<0.001) (Figure). During the pandemic (2020-2021), estimated excess stroke deaths was 4,030 among NHB (9.9% more than expected deaths) and 11,790 among NHW (5.3% more than expected deaths).
Conclusion:
Disparities in stroke death rates between NHB and NHW widened during the COVID-19 pandemic in the United States. Identifying factors associated with the widened disparities and providing the targeted interventions may be necessary to reduce the disparities.
Collapse
|
6
|
Yang Q, Tong X, George MG, Chang A, Merritt RK. COVID-19 and Risk of Acute Ischemic Stroke Among Medicare Beneficiaries Aged 65 Years or Older: Self-Controlled Case Series Study. Neurology 2022; 98:e778-e789. [PMID: 35115387 DOI: 10.1212/wnl.0000000000013184] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 11/30/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Findings of association between COVID-19 and stroke remain inconsistent, ranging from significant association, absence of association to less than expected ischemic stroke among hospitalized patients with COVID-19. The present study examined the association between COVID-19 and risk of acute ischemic stroke (AIS). METHODS We included 37,379 Medicare fee-for-service (FFS) beneficiaries aged ≥65 years diagnosed with COVID-19 from April 1, 2020 through February 28, 2021 and AIS hospitalization from January 1, 2019 through February 28, 2021. We used a self-controlled case series design to examine the association between COVID-19 and AIS and estimated the incident rate ratios (IRR) by comparing incidence of AIS in risk periods (0-3, 4-7, 8-14, 15-28 days after diagnosis of COVID-19) vs. control periods. RESULTS Among 37,379 Medicare FFS beneficiaries with COVID-19 and AIS, the median age at diagnosis of COVID-19 was 80.4 (interquartile range 73.5-87.1) years and 56.7% were women. When AIS at day of exposure (day=0) included in the risk periods, IRRs at 0-3, 4-7, 8-14, and 15-28 days following COVID-19 diagnosis were 10.3 (95% confidence interval 9.86-10.8), 1.61 (1.44-1.80), 1.44 (1.32-1.57), and 1.09 (1.02-1.18); when AIS at day 0 excluded in the risk periods, the corresponding IRRs were 1.77 (1.57-2.01) (day 1-3), 1.60 (1.43-1.79), 1.43 (1.31-1.56), and 1.09 (1.01-1.17), respectively. The association appeared to be stronger among younger beneficiaries and among beneficiaries without prior history of stroke but largely consistent across sex and race/ethnicities. DISCUSSION Risk of AIS among Medicare FFS beneficiaries was ten times (day 0 cases in the risk period) as high during the first 3 days after diagnosis of COVID-19 as during the control period and the risk associated with COVID-19 appeared to be stronger among those aged 65-74 years and those without prior history of stroke. CLASSIFICATION OF EVIDENCE This study provides Class IV evidence that SARS-CoV-2 infection, the virus that causes COVID-19, is associated with increased risk of AIS in the first three days after diagnosis in Medicare FFS beneficiaries ≥ 65 years age.
Collapse
Affiliation(s)
- Quanhe Yang
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention (CDC), Atlanta, USA
| | - Xin Tong
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention (CDC), Atlanta, USA
| | - Mary G George
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention (CDC), Atlanta, USA
| | - Anping Chang
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention (CDC), Atlanta, USA
| | - Robert K Merritt
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention (CDC), Atlanta, USA
| |
Collapse
|
7
|
Yang Q, Tong X, George MG, Chang A, Merritt RK. Abstract TMP16: Covid-19 And Risk Of Acute Ischemic Stroke Among Medicare Beneficiaries: Self-controlled Case Series Study. Stroke 2022. [DOI: 10.1161/str.53.suppl_1.tmp16] [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] [Indexed: 11/16/2022]
Abstract
Introduction:
Findings of association between COVID-19 and stroke remain inconsistent, ranging from significant association, absence of association to less than expected ischemic stroke among hospitalized patients with COVID-19. The present study examined the association between COVID-19 and risk of acute ischemic stroke (AIS).
Methods:
We included 19,553 Medicare fee-for-service (FFS) beneficiaries aged ≥65 years diagnosed with COVID-19 between April 1 and November 30, 2020 and AIS hospitalization from January 1, 2019 through November 30, 2020. We used a self-controlled case series design to examine the association between COVID-19 and AIS and estimated the incident rate ratios (IRR) by comparing incidence of AIS in risk periods (0-3, 4-7, 8-14, 15-28 days after diagnosis of COVID-19) vs. control periods.
Results:
Among 19,553 Medicare FFS beneficiaries with COVID-19 and AIS, the median age at diagnosis of COVID-19 was 80.5 (interquartile range 73.6-87.3) years and 57.5% were women. IRRs at 0-3, 4-7, 8-14, and 15-28 days following COVID-19 diagnosis were 10.97 (95% confidence interval 10.30-11.68), 1.59 (1.35-1.87), 1.23 (1.07-1.41), and 1.06 (0.95-1.18), respectively. The association appeared to be stronger among younger beneficiaries and among beneficiaries without prior history of stroke but largely consistent across sex and race/ethnicities.
Conclusions:
Risk of AIS among Medicare FFS beneficiaries was ten times as high during the first 3 days after diagnosis of COVID-19 as during the control period and the risk associated with COVID-19 appeared to be stronger among those aged 65-74 years and those without prior history of stroke.
Collapse
|
8
|
Tong X, Yang Q, Merritt RK. Abstract WMP53: Venous Thromboembolism Among Medicare Beneficiaries Hospitalized With Acute Ischemic Stroke With And Without History Of Covid-19. Stroke 2022. [DOI: 10.1161/str.53.suppl_1.wmp53] [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] [Indexed: 11/16/2022]
Abstract
Introduction:
Venous thromboembolism (VTE) is a common medical complication following acute ischemic stroke (AIS). Studies have suggested that VTE rates were higher among patients with a history of COVID-19. We examined the risk of VTE in AIS patients with and without a history of COVID-19 among Medicare beneficiaries.
Methods:
We identified Medicare fee-for-service (FFS) beneficiaries aged ≥65 years with AIS hospitalizations from 04/01/2020 to 06/30/2021. COVID-19 cases were identified by the first diagnosis of COVID-19 on a claim at any health care setting. We defined AIS with COVID-19 if the dates of COVID-19 diagnoses were earlier than AIS admission dates. To identify VTE for each AIS admission, we used the following secondary diagnoses codes: ICD-CM-10: I80, I81, I82, I26. We compared the prevalence ratio (PR) of VTE between AIS patients with and without a history of COVID-19.
Results:
Among 178,830 Medicare FFS beneficiaries with AIS admissions, 6.1% had a history of COVID-19 and 2.6% had VTE as a complication. VTE prevalence among AIS patients with a history of COVID-19 was 3.98% (95% confidence interval (CI), 3.62-4.36%) and 2.53% (95% CI, 2.46-2.61%) among patients without a history of COVID-19. The adjusted PR of VTE was 1.55 (95% CI, 1.40-1.70, p<0.001) comparing AIS admissions with a history of COVID-19 and those without a history of COVID-19. Non-Hispanic Black patients had the highest VTE prevalence, 6.14% among those with a history of COVID-19 and 3.89% among those without a history of Covid-19, as compared to other race/ethnicity groups. Both Non-Hispanic White and non-Hispanic Black patients with a history of COVID-19 had >50% increased risk of VTE than those without a history of COVID-19 (Adjusted PR, 1.59, 95% CI, 1.42-1.78 for Non-Hispanic White, 1.58, 95% CI, 1.28-1.94 for Non-Hispanic Black, p<0.001).
Conclusion:
AIS patients with a history of COVID-19 had an increased risk of VTE compared with patients without COVID-19. Healthcare professionals should be aware of the increased risks of VTE among AIS patients with COVID-19 and implement protocols for early VTE prevention.
Collapse
|
9
|
Tong X, King SMC, Asaithambi G, Odom E, Yang Q, Yin X, Merritt RK. COVID-19 Pandemic and Quality of Care and Outcomes of Acute Stroke Hospitalizations: the Paul Coverdell National Acute Stroke Program. Prev Chronic Dis 2021; 18:E82. [PMID: 34410906 PMCID: PMC8388201 DOI: 10.5888/pcd18.210130] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
INTRODUCTION Studies documented significant reductions in emergency department visits and hospitalizations for acute stroke during the COVID-19 pandemic. A limited number of studies assessed the adherence to stroke performance measures during the pandemic. We examined rates of stroke hospitalization and adherence to stroke quality-of-care measures before and during the early phase of pandemic. METHODS We identified hospitalizations with a clinical diagnosis of acute stroke or transient ischemic attack among 406 hospitals who contributed data to the Paul Coverdell National Acute Stroke Program. We used 10 performance measures to examine the effect of the pandemic on stroke quality of care. We compared data from 2 periods: pre-COVID-19 (week 11-24 in 2019) and COVID-19 (week 11-24 in 2020). We used χ2 tests for differences in categorical variables and the Wilcoxon-Mann-Whitney rank test or Kruskal-Wallis test for continuous variables. RESULTS We identified 64,461 hospitalizations. We observed a 20.2% reduction in stroke hospitalizations (from 35,851 to 28,610) from the pre-COVID-19 period to the COVID-19 period. Hospitalizations among patients aged 85 or older, women, and non-Hispanic White patients declined the most. A greater percentage of patients aged 18 to 64 were hospitalized with ischemic stroke during COVID-19 than during pre-COVID-19 (34.4% vs 32.5%, P < .001). Stroke severity was higher during COVID-19 than during pre-COVID-19 for both hemorrhagic stroke and ischemic stroke, and in-hospital death among patients with ischemic stroke increased from 4.3% to 5.0% (P = .003) during the study period. We found no differences in rates of receiving care across stroke type during the study period. CONCLUSION Despite a significant reduction in stroke hospitalizations, more severe stroke among hospitalized patients, and an increase in in-hospital death during the pandemic period, we found no differences in adherence to quality of stroke care measures.
Collapse
Affiliation(s)
- Xin Tong
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, 4770 Buford Hwy, MS S107-1, Atlanta, GA 30341.
| | - Sallyann M Coleman King
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
- US Public Health Service, Atlanta, Georgia
| | | | - Erika Odom
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
- US Public Health Service, Atlanta, Georgia
| | - Quanhe Yang
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Robert K Merritt
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| |
Collapse
|
10
|
Yang Q, Tong X, Coleman King S, Olivari BS, Merritt RK. Stroke Hospitalizations Before and During COVID-19 Pandemic Among Medicare Beneficiaries in the United States. Stroke 2021; 52:3586-3601. [PMID: 34320816 PMCID: PMC8547589 DOI: 10.1161/strokeaha.121.034562] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Supplemental Digital Content is available in the text. Background and Purpose: Emergency department visits and hospitalizations for stroke declined significantly following declaration of coronavirus disease 2019 (COVID-19) as a national emergency on March 13, 2020, in the United States. This study examined trends in hospitalizations for stroke among Medicare fee-for-service beneficiaries aged ≥65 years and compared characteristics of stroke patients during COVID-19 pandemic to comparable weeks in the preceding year (2019). Methods: For trend analysis, we examined stroke hospitalizations from week 1 in 2019 through week 44 in 2020. For comparison of patient characteristics, we estimated percent reduction in weekly stroke hospitalizations from 2019 to 2020 during weeks 10 through 23 and during weeks 24 through 44 by age, sex, race/ethnicity, and state. Results: Compared to weekly numbers of hospitalizations for stroke reported during 2019, stroke hospitalizations in 2020 decreased sharply during weeks 10 through 15 (March 1–April 11), began increasing during weeks 16 through 23, and remained at a level lower than the same weeks in 2019 from weeks 24 through 44 (June 7–October 31). During weeks 10 through 23, stroke hospitalizations decreased by 22.3% (95% CI, 21.4%–23.1%) in 2020 compared with same period in 2019; during weeks 24 through 44, they decreased by 12.1% (95% CI, 11.2%–12.9%). The magnitude of reduction increased with age but similar between men and women and among different race/ethnicity groups. Reductions in stroke hospitalizations between weeks 10 through 23 varied by state ranging from 0.0% (95% CI, −16.0%–1.7%) in New Hampshire to 36.2% (95% CI, 24.8%–46.7%) in Montana. Conclusions: One-in-5 fewer stroke hospitalizations among Medicare fee-for-service beneficiaries occurred during initial weeks of the COVID-19 pandemic (March 1–June 6) and weekly stroke hospitalizations remained at a lower than expected level from June 7 to October 31 in 2020 compared with 2019. Changes in stroke hospitalizations varied substantially by state.
Collapse
Affiliation(s)
- Quanhe Yang
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA. (Q.Y., X.T., S.C.K., R.K.M.)
| | - Xin Tong
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA. (Q.Y., X.T., S.C.K., R.K.M.)
| | - Sallyann Coleman King
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA. (Q.Y., X.T., S.C.K., R.K.M.)
| | - Benjamin S Olivari
- Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA. (B.S.O.)
| | - Robert K Merritt
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA. (Q.Y., X.T., S.C.K., R.K.M.)
| |
Collapse
|
11
|
Yang Q, Tong X, Coleman King S, Merritt RK. Abstract P76: Effect of Covid-19 Pandemic on Acute Ischemic Stroke Hospitalizations Among Medicare Beneficiaries in the United States. Stroke 2021. [DOI: 10.1161/str.52.suppl_1.p76] [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] [Indexed: 11/16/2022]
Abstract
Introduction:
Emergency department visits and hospitalizations for acute ischemic stroke (AIS) declined significantly following the declaration of COVID-19 as a national emergency on March 13, 2020 in the United States. No study has examined the volume and nature of AIS hospitalizations among older adults in the U.S. amidst the COVID-19 pandemic. This study examined the trend and compared the characteristics of Medicare fee-for-service (FFS) beneficiaries ≥65 years hospitalized with a primary AIS diagnosis in the same timeframe before and after the COVID-19 pandemic.
Methods:
We included hospitalizations with a primary diagnosis of AIS (ICD-10 I63) among Medicare FFS beneficiaries from week 11 to 24 in 2019 and 2020. We estimated the percent reduction of AIS hospitalizations between 2019 and 2020 by age, sex, race/ethnicity, and state. We tested for difference in distribution by age group, sex and race/ethnicity between 2019 and 2020 based on χ
2
test.
Results:
During the 14-weeks from March 8 to June 13, 2020, AIS hospitalizations among FFS beneficiaries were reduced by 23.7% compared to weeks 11 to 24 in 2019 (March 10 to June 15) (49,607 in 2019 vs. 37,860 in 2020). A greater percent reduction in AIS hospitalizations was observed with older age (27.2% among ≥85 years vs. 20.6% among persons 65-74 years, p<0.001). The magnitude of reduction was similar between men (23.8%) and women (23.6%, p=0.791), and among non-Hispanic white (24.2%), non-Hispanic black (22.4%), Hispanic (19.3%), and other (22.4%, p=0.189). AIS hospitalization trends varied by state ranging from 1.6% in New Hampshire to 39.8% in Montana.
Conclusion:
Hospitalizations with a primary AIS diagnosis among Medicare FFS beneficiaries were reduced by 24% during weeks 11 to 24 of the COVID-19 pandemic compared to the previous year in the United States. AIS hospitalization reductions varied substantially by state. Further study is needed to examine the long-term effects of COVID-19 pandemic on stroke outcomes.
Collapse
|
12
|
Tong X, Schieb L, George MG, Gillespie C, Merritt RK, Yang Q. Racial/Ethnic and Geographic Variations In Long-Term Survival Among Medicare Beneficiaries After Acute Ischemic Stroke. Prev Chronic Dis 2021; 18:E15. [PMID: 33600303 PMCID: PMC7895479 DOI: 10.5888/pcd18.200242] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION Little information is available about racial/ethnic and geographic variations in long-term survival among older patients (≥65) after acute ischemic stroke (AIS). METHODS We examined data on 1,019,267 Medicare fee-for-service (FFS) beneficiaries aged 66 or older, hospitalized with a primary diagnosis of AIS from 2008 through 2012. Survival was defined as the time from the date of AIS to date of death, or an end of follow-up date of December 31, 2017. We used Cox proportional hazard models to estimate 5-year survival after AIS, adjusted for age, sex, race and Hispanic ethnicity, poverty level, Charlson Comorbidity Index, and state. RESULTS Among 1,019,267 Medicare FFS beneficiaries hospitalized with AIS from 2008 through 2012, we documented 701,718 deaths (68.8%) during a median of 4 years of follow-up with 4.08 million person-years. The overall adjusted 5-year survival was 44%. Non-Hispanic Black men had the lowest 5-year survival, and 5-year survival varied significantly by state, from the highest at 49.1% (North Dakota) to the lowest at 40.5% (Hawaii). The ranges between the highest and lowest 5-year survival rates across states also varied significantly by racial/ethnic groups, with percentage point differences of 9.6 among non-Hispanic White, 11.3 among non-Hispanic Black, 17.7 among Hispanic, and 28.5 among other racial/ethnic beneficiaries. CONCLUSION We identified significant racial/ethnic and geographic variations in 5-year survival rates after AIS among 2008-2012 Medicare FFS beneficiaries. Further study is needed to understand the reasons for these variations and develop prevention strategies to improve survival and racial disparities in survival after AIS.
Collapse
Affiliation(s)
- Xin Tong
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.,Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, 4770 Buford Hwy, MS-S107-1, Atlanta, GA 30341.
| | - Linda Schieb
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Mary G George
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Cathleen Gillespie
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Robert K Merritt
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Quanhe Yang
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| |
Collapse
|
13
|
Overwyk KJ, Pfeiffer CM, Storandt RJ, Zhao L, Zhang Z, Campbell NRC, Wiltz JL, Merritt RK, Cogswell ME. Serum Sodium and Potassium Distribution and Characteristics in the US Population, National Health and Nutrition Examination Survey 2009-2016. J Appl Lab Med 2021; 6:63-78. [PMID: 33236098 DOI: 10.1093/jalm/jfaa127] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 02/25/2020] [Accepted: 06/24/2020] [Indexed: 01/14/2023]
Abstract
BACKGROUND Concern has been expressed by some that sodium reduction could lead to increased prevalence of hyponatremia and hyperkalemia for specific population subgroups. Current concentrations of serum sodium and potassium in the US population can help address this concern. METHODS We used data from the National Health and Nutrition Examination Survey 2009-2016 to examine mean and selected percentiles of serum sodium and potassium by sex and age group among 25 520 US participants aged 12 years or older. Logistic regression models with predicted residuals were used to examine the age-adjusted prevalence of low serum sodium and high serum potassium among adults aged 20 or older by selected sociodemographic characteristics and by health conditions or medication use. RESULTS The distributions of serum sodium and potassium concentrations were within normal reference intervals overall and across Dietary Reference Intake life-stage groups, with a few exceptions. Overall, 2% of US adults had low serum sodium (<135 mmol/L) and 0.6% had high serum potassium (>5 mmol/L). Prevalence of low serum sodium and high serum potassium was higher among adults aged 71 or older (4.7 and 2.0%, respectively) and among adults with chronic kidney disease (3.4 and 1.9%), diabetes (5.0 and 1.1%), or using certain medications (which varied by condition), adjusted for age; whereas, prevalence was <1% among adults without these conditions or medications. CONCLUSIONS Most of the US population has normal serum sodium and potassium concentrations; these data describe population subgroups at higher risk of low serum sodium and high serum potassium and can inform clinical care.
Collapse
Affiliation(s)
- Katherine J Overwyk
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA.,IHRC, Inc., Atlanta, GA
| | - Christine M Pfeiffer
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Renee J Storandt
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, Centers for Disease Control and Prevention, Atlanta, GA
| | - Lixia Zhao
- Division of Health Informatics and Surveillance, Center for Surveillance Epidemiology and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, GA
| | - Zefeng Zhang
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA
| | - Norm R C Campbell
- Libin Cardiovascular Institute of Alberta, University of Calgary, Calgary, Alberta, Canada
| | - Jennifer L Wiltz
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA.,United States Public Health Service, Atlanta, GA
| | - Robert K Merritt
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA
| | - Mary E Cogswell
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA
| |
Collapse
|
14
|
Tong X, Yang Q, George MG, Gillespie C, Merritt RK. Trends of risk profile among middle-aged adults hospitalized for acute ischemic stroke in United States 2006-2017. Int J Stroke 2020; 16:855-862. [PMID: 33308104 DOI: 10.1177/1747493020979379] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Recent studies reported increasing trends in hospitalization of stroke patients aged 35-64 years. AIM To examine changes in risk factor profiles among patients aged 35-64 years hospitalized with acute ischemic stroke between 2006 and 2017 in the United States. METHODS We used data from the National Inpatient Sample of the Healthcare Cost and Utilization Project from 2006 through 2017. Principal ICD-9-CM/ICD-10-CM codes were used to identify acute ischemic stroke hospitalizations, and secondary codes were used to identify the presence of four major stroke risk factors: hypertension, diabetes, lipid disorders, and tobacco use. We used the relative percent change to assess the changes in the prevalence of risk profile between 2006-2007 and 2016-2017 and linear regression models to obtain the p values for the overall trends across six time periods. RESULTS Approximately 1.5 million acute ischemic stroke hospitalizations occurred during 2006-2017. The prevalence of having all four risk factors increased from 4.1% in 2006-2007 to 9.1% in 2016-2017 (relative percent change 122.0%, p < 0.001 for trend), prevalence of any three risk factors increased from 24.5% to 33.8% (relative percent change 38.0%, p < 0.001). Prevalence of only two risk factors decreased from 36.1% to 32.7% (p < 0.001), only one risk factor decreased from 25.2% to 18.1% (p < 0.001), and absence of risk factors decreased from 10.1% to 6.2% (p < 0.001). The most prevalent triad of risk factors was hypertension, diabetes, and lipid disorders (14.3% in 2006-2007 and 19.8% in 2016-2017), and the most common dyad risk factors was hypertension and lipid disorders (12.6% in 2006-2007 and 11.9% in 2016-2017). CONCLUSIONS The prevalence of hospitalized acute ischemic stroke patients aged 35-64 years with all four or any three of four major stroke risk factors increased by 122% and 38%, while those with only one risk factor or no risk factor has declined by 28% and 39%, respectively, from 2006 to 2017. Younger adults are increasingly at higher risk for stroke from preventable and treatable risk factors. This growing public health problem will require clinicians, healthcare systems, and public health efforts to implement more effective prevention strategies among this population.
Collapse
Affiliation(s)
- Xin Tong
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Quanhe Yang
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Mary G George
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Cathleen Gillespie
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Robert K Merritt
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
| |
Collapse
|
15
|
Overwyk KJ, Quader ZS, Maalouf J, Bates M, Webster J, George MG, Merritt RK, Cogswell ME. Dietary Sodium Intake and Health Indicators: A Systematic Review of Published Literature between January 2015 and December 2019. Adv Nutr 2020; 11:1174-1200. [PMID: 32449929 PMCID: PMC7490163 DOI: 10.1093/advances/nmaa049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 02/13/2020] [Revised: 03/26/2020] [Accepted: 04/01/2020] [Indexed: 12/29/2022] Open
Abstract
As the science surrounding population sodium reduction evolves, monitoring and evaluating new studies on intake and health can help increase our understanding of the associated benefits and risks. Here we describe a systematic review of recent studies on sodium intake and health, examine the risk of bias (ROB) of selected studies, and provide direction for future research. Seven online databases were searched monthly from January 2015 to December 2019. We selected human studies that met specified population, intervention, comparison, outcome, time, setting/study design (PICOTS) criteria and abstracted attributes related to the study population, design, intervention, exposure, and outcomes, and evaluated ROB for the subset of studies on sodium intake and cardiovascular disease risks or indicators. Of 41,601 abstracts reviewed, 231 studies were identified that met the PICOTS criteria and ROB was assessed for 54 studies. One hundred and fifty-seven (68%) studies were observational and 161 (70%) focused on the general population. Five types of sodium interventions and a variety of urinary and dietary measurement methods were used to establish and quantify sodium intake. Five observational studies used multiple 24-h urine collections to assess sodium intake. Evidence mainly focused on cardiovascular-related indicators (48%) but encompassed an assortment of outcomes. Studies varied in ROB domains and 87% of studies evaluated were missing information on ≥1 domains. Two or more studies on each of 12 outcomes (e.g., cognition) not previously included in systematic reviews and 9 new studies at low ROB suggest the need for ongoing or updated systematic reviews of evidence on sodium intake and health. Summarizing evidence from assessments on sodium and health outcomes was limited by the various methods used to measure sodium intake and outcomes, as well as lack of details related to study design and conduct. In line with research recommendations identified by the National Academies of Science, future research is needed to identify and standardize methods for measuring sodium intake.
Collapse
Affiliation(s)
- Katherine J Overwyk
- Division for Heart Disease and Stroke Prevention, CDC, Atlanta, GA, USA
- IHRC, Inc. Atlanta, GA, USA
| | - Zerleen S Quader
- Division for Heart Disease and Stroke Prevention, CDC, Atlanta, GA, USA
- IHRC, Inc. Atlanta, GA, USA
| | - Joyce Maalouf
- Division for Heart Disease and Stroke Prevention, CDC, Atlanta, GA, USA
| | - Marlana Bates
- Division for Heart Disease and Stroke Prevention, CDC, Atlanta, GA, USA
- Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA
| | - Jacqui Webster
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Mary G George
- Division for Heart Disease and Stroke Prevention, CDC, Atlanta, GA, USA
| | - Robert K Merritt
- Division for Heart Disease and Stroke Prevention, CDC, Atlanta, GA, USA
| | - Mary E Cogswell
- Division for Heart Disease and Stroke Prevention, CDC, Atlanta, GA, USA
| |
Collapse
|
16
|
Angell SY, McConnell MV, Anderson CA, Bibbins-Domingo K, Boyle DS, Capewell S, Ezzati M, de Ferranti S, Gaskin DJ, Goetzel RZ, Huffman MD, Jones M, Khan YM, Kim S, Kumanyika SK, McCray AT, Merritt RK, Milstein B, Mozaffarian D, Norris T, Roth GA, Sacco RL, Saucedo JF, Shay CM, Siedzik D, Saha S, Warner JJ. The American Heart Association 2030 Impact Goal: A Presidential Advisory From the American Heart Association. Circulation 2020; 141:e120-e138. [DOI: 10.1161/cir.0000000000000758] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Each decade, the American Heart Association (AHA) develops an Impact Goal to guide its overall strategic direction and investments in its research, quality improvement, advocacy, and public health programs. Guided by the AHA’s new Mission Statement, to be a relentless force for a world of longer, healthier lives, the 2030 Impact Goal is anchored in an understanding that to achieve cardiovascular health for all, the AHA must include a broader vision of health and well-being and emphasize health equity. In the next decade, by 2030, the AHA will strive to equitably increase healthy life expectancy beyond current projections, with global and local collaborators, from 66 years of age to at least 68 years of age across the United States and from 64 years of age to at least 67 years of age worldwide. The AHA commits to developing additional targets for equity and well-being to accompany this overarching Impact Goal. To attain the 2030 Impact Goal, we recommend a thoughtful evaluation of interventions available to the public, patients, providers, healthcare delivery systems, communities, policy makers, and legislators. This presidential advisory summarizes the task force’s main considerations in determining the 2030 Impact Goal and the metrics to monitor progress. It describes the aspiration that these goals will be achieved by working with a diverse community of volunteers, patients, scientists, healthcare professionals, and partner organizations needed to ensure success.
Collapse
|
17
|
Tong X, Wiltz JL, George MG, Odom EC, Coleman King SM, Chang T, Yin X, Merritt RK. A Decade of Improvement in Door-to-Needle Time Among Acute Ischemic Stroke Patients, 2008 to 2017. Circ Cardiovasc Qual Outcomes 2019; 11:e004981. [PMID: 30557047 DOI: 10.1161/circoutcomes.118.004981] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND The clinical benefit of intravenous (IV) alteplase in acute ischemic stroke is time dependent. We assessed the overall temporal changes in door-to-needle (DTN) time and examine the factors associated with DTN time ≤60 and ≤45 minutes. METHODS AND RESULTS A total of 496 336 acute ischemic stroke admissions were identified in the Paul Coverdell National Acute Stroke Program from 2008 to 2017. We used generalized estimating equations models to examine the factors associated with DTN time ≤60 and ≤45 minutes, and calculated adjusted odds ratios and 95% CI. Between 2008 and 2017, the percentage of acute ischemic stroke patients who received IV alteplase including those transferred, increased from 6.4% to 15.3%. After excluding those who received IV alteplase at an outside hospital, a total of 39 737 (8%) acute ischemic stroke patients received IV alteplase within 4.5 hours of the time the patient last known to be well. Significant increases were seen in DTN time ≤60 minutes (26.4% in 2008 to 66.2% in 2017, P<0.001), as well as DTN time ≤45 minutes (10.7% in 2008 to 40.5% in 2017, P<0.001). Patients aged 55 to 84 years were more likely to receive IV alteplase within 60 minutes, while those aged 55 to 74 years were more likely to receive IV alteplase within 45 minutes, as compared with those aged 18 to 54 years. Arrival by emergency medical service, and patients with severe stroke were more likely to receive IV alteplase within 60 and 45 minutes. Conversely, women, black patients as compared with white, and patients with a medical history of diseases associated with stroke were less likely to receive DTN time ≤60 or 45 minutes. CONCLUSIONS Rapid improvements in DTN time were observed in the Paul Coverdell National Acute Stroke Program; however, opportunities to reduce disparities remain.
Collapse
Affiliation(s)
- Xin Tong
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA (X.T., J.L.W., M.G.G., E.C.O., S.M.C.K., T.C., X.Y., R.K.M.)
| | - Jennifer L Wiltz
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA (X.T., J.L.W., M.G.G., E.C.O., S.M.C.K., T.C., X.Y., R.K.M.).,United States Public Health Service, Atlanta, GA (J.L.W., E.C.O., S.M.C.K.)
| | - Mary G George
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA (X.T., J.L.W., M.G.G., E.C.O., S.M.C.K., T.C., X.Y., R.K.M.)
| | - Erika C Odom
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA (X.T., J.L.W., M.G.G., E.C.O., S.M.C.K., T.C., X.Y., R.K.M.).,United States Public Health Service, Atlanta, GA (J.L.W., E.C.O., S.M.C.K.)
| | - Sallyann M Coleman King
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA (X.T., J.L.W., M.G.G., E.C.O., S.M.C.K., T.C., X.Y., R.K.M.).,United States Public Health Service, Atlanta, GA (J.L.W., E.C.O., S.M.C.K.)
| | - Tiffany Chang
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA (X.T., J.L.W., M.G.G., E.C.O., S.M.C.K., T.C., X.Y., R.K.M.).,IHRC, Inc., Atlanta, GA (T.C., X.Y.)
| | - Xiaoping Yin
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA (X.T., J.L.W., M.G.G., E.C.O., S.M.C.K., T.C., X.Y., R.K.M.).,IHRC, Inc., Atlanta, GA (T.C., X.Y.)
| | | | - Robert K Merritt
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA (X.T., J.L.W., M.G.G., E.C.O., S.M.C.K., T.C., X.Y., R.K.M.)
| |
Collapse
|
18
|
Abstract
Introduction Little is known about trends in the overall combined burden of fatal and nonfatal cerebrovascular disease events in the United States. Our objective was to describe the combined burden by age, sex, and region from 2006 through 2014. Methods We used data on adults aged 35 and older from 2006 through 2014 Nationwide Emergency Department Sample, National Inpatient Sample of the Healthcare Cost and Utilization Project, and the National Vital Statistics System. We calculated age-standardized cerebrovascular disease event rates by using the 2010 US Census population. Trends in rates were assessed by calculating the relative percentage change (RPC) between 2006 and 2014, and by using Joinpoint to obtain P values for overall trends. Results The age-standardized rate increased significantly for total cerebrovascular disease events (primary plus comorbid events) from 1,050 per 100,000 in 2006 to 1,147 per 100,000 in 2014 (P < .05 for trend). Treat-and-release emergency department visits with comorbid cerebrovascular disease events increased significantly, from 114 per 100,000 in 2006 to 213 per 100,000 in 2014 (RPC of 87%, P < .05 for trend). Significant rate increases were identified among adults aged 35 to 64 with an RPC of 19% in primary cerebrovascular disease events, 48% in comorbid cerebrovascular disease events, and 36% in total events. Conclusion Our findings have important implications for the increasing cerebrovascular disease burden among adults aged 35 to 64. Focused prevention strategies should be implemented, especially among young adults who may be unaware of existing modifiable risk factors.
Collapse
Affiliation(s)
- Xin Tong
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, 4770 Buford Hwy, MS-F73 Atlanta, GA 30341.
| | - Quanhe Yang
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Matthew D Ritchey
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Mary G George
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Sandra L Jackson
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Cathleen Gillespie
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Robert K Merritt
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| |
Collapse
|
19
|
Maalouf J, Cogswell ME, Bates M, Yuan K, Scanlon KS, Pehrsson P, Gunn JP, Merritt RK. Sodium, sugar, and fat content of complementary infant and toddler foods sold in the United States, 2015. Am J Clin Nutr 2017; 105:1443-1452. [PMID: 28424192 DOI: 10.3945/ajcn.116.142653] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [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: 07/26/2016] [Accepted: 03/23/2017] [Indexed: 11/14/2022] Open
Abstract
Background: As part of a healthy diet, limiting intakes of excess sodium, added sugars, saturated fat, and trans fat has been recommended. The American Heart Association recommends that children aged <2 y should avoid added sugars.Objective: We sought to determine commercial complementary infant-toddler food categories that were of potential concern because of the sodium, added sugar, saturated fat, or trans fat content.Design: Nutrition label information (e.g., serving size, sodium, saturated fat, trans fat) for 1032 infant and toddler foods was collected from manufacturers' websites and stores from May to July 2015 for 24 brands, which accounted for >95% of infant-toddler food sales. The presence of added sugars was determined from the ingredient list. Reference amount customarily consumed (RACC) categories were used to group foods and standardize serving sizes. A high sodium content was evaluated on the basis of the Upper Intake Level for children aged 1-3 y and the number of potential servings per day ([i.e., 1500 mg/7 servings (>210 mg/RACC)], a sodium amount >200 mg/100 g, or a mean sodium density >1000 mg/1000 kcal.Results: In 2015, most commercial infant-only vegetables, fruit, dinners, and cereals were low in sodium, contained no saturated fat, and did not contain added sugars. On average, toddler meals contained 2233 mg Na/1000 kcal, and 84% of the meals had >210 mg Na/RACC (170 g), whereas 69% of infant-toddler savory snacks had >200 mg Na/100 g. More than 70% of toddler meals, cereal bars and breakfast pastries, and infant-toddler grain- or dairy-based desserts contained ≥1 sources of added sugar. Approximately 70% of toddler meals contained saturated fat (mean: 1.9 g/RACC), and no commercial infant-toddler foods contained trans fats.Conclusion: Most commercial toddler meals, cereal bars and breakfast pastries, and infant-toddler snacks and desserts have high sodium contents or contain added sugars, suggesting a need for continued public health efforts to support parents in choosing complementary foods for their infants and toddlers.
Collapse
Affiliation(s)
- Joyce Maalouf
- Division for Heart Disease and Stroke Prevention and.,IHRC Inc., Atlanta, GA; and
| | | | - Marlana Bates
- Division for Heart Disease and Stroke Prevention and
| | - Keming Yuan
- Division for Heart Disease and Stroke Prevention and
| | - Kelley S Scanlon
- Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA
| | | | - Janelle P Gunn
- Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA
| | | |
Collapse
|
20
|
Quader ZS, Cogswell ME, Fang J, Coleman King SM, Merritt RK. Changes in primary healthcare providers' attitudes and counseling behaviors related to dietary sodium reduction, DocStyles 2010 and 2015. PLoS One 2017; 12:e0177693. [PMID: 28531232 PMCID: PMC5439686 DOI: 10.1371/journal.pone.0177693] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 05/02/2017] [Indexed: 11/30/2022] Open
Abstract
High blood pressure is a major risk factor for cardiovascular disease. The 2013 ACC/AHA Lifestyle Management Guideline recommends counseling pre-hypertensive and hypertensive patients to reduce sodium intake. Population sodium reduction efforts have been introduced in recent years, and dietary guidelines continued to emphasize sodium reduction in 2010 and 2015. The objective of this analysis was to determine changes in primary health care providers' sodium-reduction attitudes and counseling between 2010 and 2015. Primary care internists, family/general practitioners, and nurse practitioners answered questions about sodium-related attitudes and counseling behaviors in DocStyles, a repeated cross-sectional web-based survey in the United States. Differences in responses between years were examined. In 2015, the majority (78%) of participants (n = 1,251) agreed that most of their patients should reduce sodium intake, and reported advising hypertensive (85%), and chronic kidney disease patients (71%), but not diabetic patients (48%) and African-American patients (43%) to consume less salt. Since 2010, the proportion of participants agreeing their patients should reduce sodium intake decreased while the proportion advising patients with these characteristics to consume less salt increased and the prevalence of specific types of advice declined. Changes in behaviors between surveys remained significant after adjusting for provider and practice characteristics. More providers are advising patients to consume less salt in 2015 compared to 2010; however, fewer agree their patients should reduce intake and counseling is not universally applied across patient groups at risk for hypertension. Further efforts and educational resources may be required to enable patient counseling about sodium reduction strategies.
Collapse
Affiliation(s)
- Zerleen S. Quader
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
- IHRC, Inc., Atlanta, Georgia, United States of America
| | - Mary E. Cogswell
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Jing Fang
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Sallyann M. Coleman King
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Robert K. Merritt
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| |
Collapse
|
21
|
Terry AL, Cogswell ME, Wang CY, Chen TC, Loria CM, Wright JD, Zhang X, Lacher DA, Merritt RK, Bowman BA. Feasibility of collecting 24-h urine to monitor sodium intake in the National Health and Nutrition Examination Survey. Am J Clin Nutr 2016; 104:480-8. [PMID: 27413136 PMCID: PMC4962154 DOI: 10.3945/ajcn.115.121954] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [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: 09/01/2015] [Accepted: 06/06/2016] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Twenty-four-hour urine sodium excretion is recommended for monitoring population sodium intake. Because of concerns about participation and completion, sodium excretion has not been collected previously in US nationally representative surveys. OBJECTIVE We assessed the feasibility of implementing 24-h urine collections as part of a nationally representative survey. DESIGN We selected a random half sample of nonpregnant US adults aged 20-69 y in 3 geographic locations of the 2013 NHANES. Participants received explicit instructions, started and ended the urine collection in a urine study mobile examination center, and answered questions about their collection. Among those with a complete 24-h urine collection, a random one-half were asked to collect a second 24-h urine sample. Sodium, potassium, chloride, and creatinine excretion were analyzed. RESULTS The final NHANES examination response rate for adults aged 20-69 y in these 3 study locations was 71%. Of those examined (n = 476), 282 (59%) were randomly selected to participate in the 24-h urine collection. Of these, 212 persons [75% of those selected for 24-h urine collection; 53% (equal to 71% × 75% of those selected for the NHANES)] collected a complete initial 24-h specimen and 92 persons (85% of 108 selected) collected a second complete 24-h urine sample. More men than women completed an initial collection (P = 0.04); otherwise, completion did not vary by sociodemographic characteristics, body mass index, education, or employment status for either collection. Mean 24-h urine volume and sodium excretion were 1964 ± 1228 mL and 3657 ± 2003 mg, respectively, for the first 24-h urine sample, and 2048 ± 1288 mL and 3773 ± 1891 mg, respectively, for the second collection. CONCLUSION Given the 53% final component response rate and 75% completion rate, 24-h urine collections were deemed feasible and implemented in the NHANES 2014 on a subsample of adults aged 20-69 y to assess population sodium intake. This study was registered at clinicaltrials.gov as NCT02723682.
Collapse
Affiliation(s)
- Ana L Terry
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, MD;
| | - Mary E Cogswell
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA; and
| | - Chia-Yih Wang
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, MD
| | - Te-Ching Chen
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, MD
| | - Catherine M Loria
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD
| | - Jacqueline D Wright
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD
| | - Xinli Zhang
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, MD
| | - David A Lacher
- Division of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, MD
| | - Robert K Merritt
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA; and
| | - Barbara A Bowman
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA; and
| |
Collapse
|
22
|
Tong X, George MG, Gillespie C, Merritt RK. Abstract 183: Trends in Hospitalizations and Cost Associated with Acute Ischemic Stroke by Age, United States 2003-2012. Stroke 2016. [DOI: 10.1161/str.47.suppl_1.183] [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] [Indexed: 11/16/2022]
Abstract
Introduction:
Stroke mortality has decreased from 4
th
to 5
th
leading cause of death in the U.S. However, it is still a leading cause of disability and the disease burden associated with stroke by age is not well known.
Methods:
The study population consisted of 2003-2012 adult hospitalizations from the National Inpatient Sample of the Healthcare Cost and Utilization Project. Acute ischemic stroke (AIS) hospitalizations were identified by the principal diagnosis ICD-9-CM code. We estimated national acute ischemic stroke hospitalization rates and associated inflation-adjusted hospital costs across five consecutive 2-year time intervals (2003-04 through 2011-12), stratified by six age groups: 18-34 years, 35-44 years, 45-54 years, 55-64 years, 65-74 years, and ≥75 years.
Results:
The hospitalization rates per 100,000 persons with a principal diagnosis of AIS increased significantly among persons aged 18 to 54 years, but decreased significantly among those aged≥65 years. The largest increase was observed among ages 35-44 years. The average per-hospitalization cost increased 7%-19% across all 6 age groups after adjusting for inflation and the estimated total national cost increased 18% for AIS from 2003-04 to 2011-12. The estimated total cost for AIS hospitalization reached $12.55 billion in 2011-12.
Conclusions:
While AIS hospitalizations among ages ≥65 declined from 2003 to 2012, the hospitalization rates increased significantly among ages 18-54. The estimated hospital costs increased across all age groups during the study period, indicating the rising economic burden of stroke in the health care system.
Collapse
|
23
|
Gunn JP, Barron JL, Bowman BA, Merritt RK, Cogswell ME, Angell SY, Bauer UE, Frieden TR. Sodium reduction is a public health priority: reflections on the Institute of Medicine's report, sodium intake in populations: assessment of evidence. Am J Hypertens 2013; 26:1178-80. [PMID: 24042543 DOI: 10.1093/ajh/hpt143] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Janelle P Gunn
- National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | | | | | | | | | | | | |
Collapse
|
24
|
Fang J, Cogswell ME, Keenan NL, Merritt RK. Primary health care providers' attitudes and counseling behaviors related to dietary sodium reduction. Arch Intern Med 2012; 172:76-8. [PMID: 22232154 PMCID: PMC4580130 DOI: 10.1001/archinternmed.2011.620] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
|
25
|
Bansil P, Kuklina EV, Merritt RK, Yoon PW. Associations between sleep disorders, sleep duration, quality of sleep, and hypertension: results from the National Health and Nutrition Examination Survey, 2005 to 2008. J Clin Hypertens (Greenwich) 2011; 13:739-43. [PMID: 21974761 DOI: 10.1111/j.1751-7176.2011.00500.x] [Citation(s) in RCA: 120] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Sleep is a contributing factor to optimal health and vitality. However, to date, no national study has evaluated the simultaneous relationship between sleep disorders, quality, and duration with hypertension. Using data from National Health and Nutrition Examination Survey (NHANES) (2005 to 2008), hypertension was defined by current use of antihypertensive medication or systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg. Self-reported sleep disorders and duration were categorized from a single household interview question, and sleep quality was determined from several questions on sleeping habits. The prevalence of hypertension was 30.2% and 7.5%, and 33.0% and 52.1% reported having sleep disorders, short sleep, and poor sleep, respectively. After adjustment for demographic characteristics and comorbidities, having sleep disorders only was not significantly associated with hypertension (odds ratio [OR], 1.65; 95% confidence interval [CI], 0.73-3.77). However, this association was modified by sleep duration: significant associations were observed among adults with concurrent sleep disorders and short sleep (OR, 2.30; 95% CI, 1.49-3.56) and with sleep disorders, short sleep, and poor sleep (OR, 1.84; 95% CI, 1.13-2.98). These findings indicate an association between a combination of sleep problems and hypertension, but prospective studies are needed to understand the complex interplay between them.
Collapse
Affiliation(s)
- Pooja Bansil
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
| | | | | | | |
Collapse
|
26
|
Zohoori N, Pulley L, Jones C, Senner J, Shoob H, Merritt RK. Conducting a statewide health examination survey: the Arkansas Cardiovascular Health Examination Survey (ARCHES). Prev Chronic Dis 2011; 8:A67. [PMID: 21477507 PMCID: PMC3103572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION The Arkansas Cardiovascular Health Examination Survey is a health and nutrition examination survey designed to serve as a demonstration project for collection of data on the prevalence of chronic diseases and their risk factors at the state level. The survey was conducted from mid-2006 through early 2008. METHODS We chose a cross-sectional representative sample of adult residents in Arkansas by using a 3-stage, cluster sample design. Trained interviewers conducted interviews and examinations in respondents' homes, collecting data on risk factors and diseases, blood pressure and anthropometric measurements, and blood and urine samples for analysis and storage. Food frequency questionnaires provided dietary and nutrient intake data. We accomplished the project using a collaborative model among several programs and partners within the state. RESULTS A total of 4,894 eligible households were contacted by telephone. Of these, refusals accounted for 2,748, and 2,146 gave initial consent to participate, for an initial response rate of 44%. The final number of completed household visits was 1,385, resulting in a final response rate of 28.3%. CONCLUSION The Arkansas Cardiovascular Health Examination Survey is among the first state-level health and nutrition examination surveys to be conducted in the United States. By using a collaborative model and leveraging federal funds, we engaged several partners who provided additional resources to complete the project. The survey provides the state with valuable state-level data and information for program design and delivery.
Collapse
Affiliation(s)
- Namvar Zohoori
- Chronic Disease Director and Associate Director of Science, Center for Health Advancement, Arkansas Department of Health
| | - LeaVonne Pulley
- Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Camille Jones
- Arkansas Minority Health Commission, Little Rock, Arkansas
| | - John Senner
- Arkansas Department of Health, Little Rock, Arkansas
| | - Hylan Shoob
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | | |
Collapse
|
27
|
Rendell JM, Merritt RK, Geddes JR. Incentives and disincentives to participation by clinicians in randomised controlled trials. Hippokratia 2005. [DOI: 10.1002/14651858.mr000021] [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: 11/07/2022]
|
28
|
Foland JA, Fortenberry JD, Warshaw BL, Pettignano R, Merritt RK, Heard ML, Rogers K, Reid C, Tanner AJ, Easley KA. Fluid overload before continuous hemofiltration and survival in critically ill children: a retrospective analysis. Crit Care Med 2004; 32:1771-6. [PMID: 15286557 DOI: 10.1097/01.ccm.0000132897.52737.49] [Citation(s) in RCA: 388] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
OBJECTIVE Continuous venovenous hemofiltration (CVVH) is used for renal replacement and fluid management in critically ill children. A previous small study suggested that survival was associated with less percent fluid overload (%FO) in the intensive care unit (ICU) before hemofiltration. We reviewed our experience with a large series of pediatric CVVH patients to evaluate factors associated with outcome. DESIGN Retrospective chart review. SETTING Tertiary children's hospital. PATIENTS CVVH pediatric ICU patients from November 1997 to January 2003. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS %FO was defined as total fluid input minus output (up to 7 days before CVVH for both hospital stay and ICU stay) divided by body weight. One hundred thirteen patients received CVVH; 69 survived (61%). Multiple organ dysfunction syndrome (MODS) was present in 103 patients; 59 survived (57%). Median patient age was 9.6 yrs (25th, 75th percentile: 2.5, 14.3). Median %FO was significantly lower in survivors vs. nonsurvivors for all patients (7.8% [2.0, 16.7] vs. 15.1% [4.9, 25.9]; p =.02] and in patients with > or =3-organ MODS (9.2% [5.1,16.7] vs. 15.5% [8.3, 28.6]; p =.01). The Pediatric Risk of Mortality Score III at CVVH initiation also was associated with survival in these groups, but by multivariate analysis, %FO was independently associated with survival in patients with > or =3-organ MODS (p =.01). CONCLUSIONS Survival in critically ill children receiving CVVH in this large series was higher than in previous reports. CVVH survival may be associated with less %FO in patients with > or =3-organ MODS. Prospective studies are necessary to determine whether earlier use of CVVH to control fluid overload in critically ill children can improve survival.
Collapse
Affiliation(s)
- Jason A Foland
- Divisions of Critical Care and ECMO/Advanced Technologies, Children's Healthcare of Atlanta at Egleston, 1405 Clifton Road NE, Atlanta, GA 30322, USA
| | | | | | | | | | | | | | | | | | | |
Collapse
|
29
|
Botto LD, May K, Fernhoff PM, Correa A, Coleman K, Rasmussen SA, Merritt RK, O'Leary LA, Wong LY, Elixson EM, Mahle WT, Campbell RM. A population-based study of the 22q11.2 deletion: phenotype, incidence, and contribution to major birth defects in the population. Pediatrics 2003; 112:101-7. [PMID: 12837874 DOI: 10.1542/peds.112.1.101] [Citation(s) in RCA: 442] [Impact Index Per Article: 21.0] [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] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES Although several studies describe the 22q11.2 deletion, population-based data are scant. Such data are needed to evaluate properly the impact, distribution, and clinical presentation of the deletion in the population. Our goals were to assess the population-based birth prevalence of the 22q11.2 deletion and its associated phenotype and its impact on the occurrence of heart defects. METHODS We evaluated data on infants who were born from 1994 through 1999 to women who resided in metropolitan Atlanta. We matched records from the Metropolitan Atlanta Congenital Defects Program (a population-based registry with active case ascertainment), the Sibley Heart Center at Children's Healthcare of Atlanta, and the Division of Medical Genetics at Emory University. We used birth certificate data for the denominators of the rates. RESULTS We identified 43 children with laboratory-confirmed 22q11.2 deletion among 255 849 births. The overall prevalence was 1 in 5950 births (95% confidence interval: 1 in 4417 to 1 in 8224 births). The prevalence was between 1 in 6000 and 1 in 6500 among whites, blacks, and Asians and 1 in 3800 among Hispanics. Most affected children (81%) had a heart defect, and many (1 in 3) had major extracardiac defects (other than velopalatal anomalies), including anomalies of the central nervous system. Overall, the deletion contributed to at least 1 of every 68 cases of major heart defects identified in the total birth cohort and, in particular, to 1 of every 2 cases diagnosed with interrupted aortic arch type B, 1 of every 5 with truncus arteriosus, and 1 of every 8 with tetralogy of Fallot. CONCLUSIONS The 22q11.2 deletion was common in this birth population. The clinical phenotype included a wide and variable spectrum of major cardiac and extracardiac anomalies. From these population-based data, one can estimate that at least 700 affected infants are born annually in the United States. Population-based estimates such as these should be useful to medical professionals and policy makers in planning for the optimal care of people with the 22q11.2 deletion.
Collapse
Affiliation(s)
- Lorenzo D Botto
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia 30341, USA.
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
30
|
Adams EK, Nishimura B, Merritt RK, Melvin C. Costs of poor birth outcomes among privately insured. J Health Care Finance 2003; 29:11-27. [PMID: 12635991] [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] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
Despite expansions in the public insurance coverage of pregnant women, concerns over poor birth outcomes remain. Poor birth outcomes occur among publicly and privately insured women, however, thereby imposing excess costs on employers and their insurers. Data from a large sample of privately insured for 1996 are used to examine these outcomes and costs. Almost one-fourth (24.3 percent) of the infants in our matched sample of 12,020 deliveries was premature or had other problems at birth. Costs for these infants accounted for 82 percent of the total $56 million spent on sample infants. The incremental cost of infants with poor birth outcomes versus those with normal, full-terms was approximately $14,600. We found that these relative costs had increased over time due perhaps to the increased technology and intensity of services used to save infant lives. We also found that factors other than maternal and infant complications affected cost variations. For example, employers located in the Northeast, hiring older mothers, and in unionized sectors have higher prenatal, delivery, and infant costs.
Collapse
Affiliation(s)
- E Kathleen Adams
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | | | | |
Collapse
|
31
|
Abstract
The development of a cardiac research program in the current health care setting can bring many challenges. The myriad of changing regulations involving research with vulnerable populations combined with the need to protect patient confidentiality is an issue that must be addressed in the initial stages of development. Also, the lack of an experienced workforce can often make the search for research staffing difficult at best. In 2001, Children's Healthcare of Atlanta initiated a cardiac research program. Over the last year, many obstacles have been overcome, and this experience has led to the appreciation of the challenges ahead.
Collapse
|
32
|
Neish AS, Blews DE, Simms CA, Merritt RK, Spinks AJ. Screening for stroke in sickle cell anemia: comparison of transcranial Doppler imaging and nonimaging US techniques. Radiology 2002; 222:709-14. [PMID: 11867789 DOI: 10.1148/radiol.2223010524] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
PURPOSE To determine whether criteria for screening patients with sickle cell anemia for stroke established with a nonimaging transcranial Doppler ultrasonographic (US) technique are applicable to studies performed with a transcranial Doppler US imaging technique. MATERIALS AND METHODS One hundred sixty-eight examinations in 66 children were performed for sickle cell stroke screening. Children were examined with nonimaging and imaging transcranial Doppler US techniques on the same day, for a total of 84 paired examinations. The time-averaged maximum mean velocity (V(mean)) and resistive index (RI) were calculated in the middle cerebral arteries, bifurcations of the distal internal carotid arteries, distal internal carotid arteries, anterior cerebral arteries, posterior cerebral arteries, and basilar arteries. The maximum systolic velocity (V(max)) was evaluated in the distal internal carotid arteries and middle cerebral arteries. V(mean), V(max), and RI measurements were subjected to repeated-measures multivariate analysis of covariance, and the Pearson product moment correlation was used for middle cerebral artery velocity, age, and hemoglobin. RESULTS V(mean) measurements obtained with nonimaging and imaging techniques varied substantially for the bifurcation of the distal internal carotid artery, the posterior cerebral artery, and the basilar artery. Substantial differences were found in RIs for every vessel. Examination time was shorter with the nonimaging technique. CONCLUSION V(mean) measurements in the middle cerebral artery, distal internal carotid artery, and anterior cerebral artery did not vary substantially between nonimaging and imaging transcranial Doppler US. RI data did not yield comparable measurements.
Collapse
Affiliation(s)
- Ariane S Neish
- Department of Radiology, Children's Health Care of Atlanta at Scottish Rite, 1001 Johnson Ferry Rd NE, Atlanta, GA 30342, USA.
| | | | | | | | | |
Collapse
|
33
|
England LJ, Kendrick JS, Wilson HG, Merritt RK, Gargiullo PM, Zahniser SC. Effects of smoking reduction during pregnancy on the birth weight of term infants. Am J Epidemiol 2001; 154:694-701. [PMID: 11590081 DOI: 10.1093/aje/154.8.694] [Citation(s) in RCA: 105] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
This study was undertaken to determine 1) whether reducing tobacco exposure during pregnancy increases the birth weight of term infants and 2) the relative effects of early- and late-pregnancy exposure to tobacco on infant birth weight. Data were obtained from the Smoking Cessation in Pregnancy project, conducted in public clinics in three states (Colorado, Maryland, and Missouri) between 1987 and 1991. Self-reported cigarette use and urine cotinine concentration were collected from 1,583 pregnant smokers at study enrollment and in the third trimester. General linear models were used to generate mean adjusted birth weights for women who reduced their tobacco exposure by 50 percent or more and for those who did not change their exposure. Regression smoothing techniques were used to characterize the relation between birth weight and early exposure and birth weight and third-trimester exposure. Reducing cigarette use was associated with an increase in mean adjusted birth weight of only 32 g, which was not significant (p = 0.33). As third-trimester cigarette use increased, birth weight declined sharply but leveled off at more than eight cigarettes per day. Findings were similar when urine cotinine concentration was used. Women who smoke during pregnancy may need to reduce to low levels of exposure (less than eight cigarettes per day) to improve infant birth weight.
Collapse
Affiliation(s)
- L J England
- Epidemic Intelligence Service, Division of Applied Public Health Training, Epidemiology Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention Program Office, Atlanta, GA, USA.
| | | | | | | | | | | |
Collapse
|
34
|
Ebrahim SH, Merritt RK, Floyd RL. Smoking and women's health: opportunities to reduce the burden of smoking during pregnancy. CMAJ 2000; 163:288-9. [PMID: 10951728 PMCID: PMC80293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023] Open
Affiliation(s)
- S H Ebrahim
- Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
| | | | | |
Collapse
|
35
|
Siegel M, Mowery PD, Pechacek TP, Strauss WJ, Schooley MW, Merritt RK, Novotny TE, Giovino GA, Eriksen MP. Trends in adult cigarette smoking in California compared with the rest of the United States, 1978-1994. Am J Public Health 2000; 90:372-9. [PMID: 10705854 PMCID: PMC1446161 DOI: 10.2105/ajph.90.3.372] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
OBJECTIVES This study compared trends in adult cigarette smoking prevalence in California and the remainder of the United States between 1978 and 1994. METHODS We used data from National Health Interview Surveys and Behavioral Risk Factor Surveillance System surveys to compare trends in smoking prevalence among persons 18 years and older. RESULTS In both California and the remainder of the United States, the estimated annual rate of decline in adult smoking prevalence accelerated significantly from 1985 to 1990: to -1.22 percentage points per year (95% confidence interval [CI] = -1.51, -0.93) in California and to -0.93 percentage points per year (95% CI = -1.13, -0.73) in the remainder of the nation. The rate of decline slowed significantly from 1990 to 1994: to -0.39 percentage points per year (95% CI = -0.76, -0.03) in California and to -0.05 percentage points per year (95% CI = -0.34, 0.24) in the remainder of the United States. CONCLUSIONS The presence of an aggressive tobacco control intervention has supported a significant decline in adult smoking prevalence in California from 1985 to 1990 and a slower but still significant decline from 1990 to 1994, a period in which there was no significant decline in the remainder of the nation. To restore nationwide progress in reducing smoking prevalence, other states should consider similar interventions.
Collapse
Affiliation(s)
- M Siegel
- Social and Behavioral Sciences Department, Boston University School of Public Health, MA 02118, USA.
| | | | | | | | | | | | | | | | | |
Collapse
|
36
|
Abstract
CONTEXT Rates of smoking are increasing among adolescents and young adults, but trends in smoking among pregnant women have not been studied. OBJECTIVE To assess pregnancy-related variations in smoking behaviors and their determinants among women of childbearing age in the United States. DESIGN Analysis of data collected between 1987-1996 from the Behavioral Risk Factor Surveillance System survey. SETTING AND SUBJECTS A total of 187302 (178499 nonpregnant and 8803 pregnant) noninstitutionalized women aged 18 to 44 years from 33 states. MAIN OUTCOME MEASURES Prevalence rates of smoking initiation and current smoking, median number of cigarettes smoked, and adjusted odds ratios for smoking stratified by pregnancy status; prevalence rate ratio for current smoking comparing pregnant with nonpregnant women. RESULTS The overall percentage of women who had ever initiated smoking decreased significantly from 44.1% in 1987 to 38.2% in 1996. During that 10-year period, the prevalence of current smoking also decreased significantly among both pregnant women (16.3% to 11.8%) and nonpregnant women (26.7% to 23.6%). Overall, pregnant women were about half (54%) as likely as nonpregnant women to be current smokers during 1987-1996. Over time, the median number of cigarettes smoked per day by pregnant smokers remained at 10, whereas among nonpregnant smokers it decreased from 19 to 15 (P<.05 for trend). In the same period, among young women (aged 18-20 years), prevalence rates of smoking initiation and current smoking increased slightly. Sociodemographic subgroups of women at increased risk for current smoking were the same for pregnant and nonpregnant women (ie, those with a completed high school education or less, whites, and those who were unmarried). CONCLUSIONS In this analysis, the decline in smoking over time among pregnant women was primarily due to the overall decline in smoking initiation rates among women of childbearing age, not to an increased rate of smoking cessation related to pregnancy. To foster effective perinatal tobacco control, efforts are needed to further reduce the number of young women who begin smoking. Clinicians should query all pregnant women and women of childbearing age about smoking and provide cessation and relapse interventions to each smoker.
Collapse
Affiliation(s)
- S H Ebrahim
- Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
| | | | | | | | | |
Collapse
|
37
|
Abstract
OBJECTIVE Cigarette smoking is on the rise among adolescents in the United States. Although both African-American and white adolescents have experienced increases in cigarette smoking over time, the prevalence of smoking has remained consistently lower among African-American adolescents than their white counterparts. The purpose of this study was to determine whether the race differential in the prevalence of cigarette smoking is attributed to differences in selected lifestyle behaviors and demographic factors. DESIGN A cross-sectional study was conducted among African-American and white adolescents (aged 12 to 17 years) who participated in the Youth Risk Behavior Survey supplement to the 1992 National Health Interview Survey. Analyses were restricted to those who had complete data on all study variables (n = 5569). Logistic regression analysis was used to estimate the prevalence odds ratios (POR) of current smoking for white adolescents (versus African-American adolescents) before and after adjustment for confounding factors. RESULTS The crude POR of current smoking for white adolescents compared with African-American adolescents was 2.8 (95% confidence interval = 2.1 to 3.9). Simultaneous adjustment for confounding factors resulted in a POR of 2.6 (95% confidence interval = 1.8 to 3.7). CONCLUSIONS Selected lifestyle behaviors and demographic factors do not account for the race differential in the prevalence of adolescent cigarette smoking. This study underscores the need for more research on contributors to the race gap. Such research could advance theoretical understanding of the etiology of cigarette smoking among adolescents and lead to more effective smoking prevention programs for all youths.
Collapse
Affiliation(s)
- D L Faulkner
- Office on Smoking and Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | |
Collapse
|
38
|
Arday DR, Tomar SL, Nelson DE, Merritt RK, Schooley MW, Mowery P. State smoking prevalence estimates: a comparison of the Behavioral Risk Factor Surveillance System and current population surveys. Am J Public Health 1997; 87:1665-9. [PMID: 9357350 PMCID: PMC1381131 DOI: 10.2105/ajph.87.10.1665] [Citation(s) in RCA: 46] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
OBJECTIVES This study examined whether there are systematic differences between the Behavioral Risk Factor Surveillance System (BRFSS) and the Current Population Survey (CPS) for state cigarette smoking prevalence estimates. METHODS BRFSS telephone survey estimates were compared with estimates from the US Census CPS tobacco-use supplements (the CPS sample frame includes persons in households without telephones). Weighted overall and sex- and race-specific BRFSS and CPS state estimates of adults smoking were analyzed for 1985, 1989, and 1992/1993. RESULTS Overall estimates of smoking prevalence from the BRFSS were slightly lower than estimates from CPS (median difference: -2.0 percentage points in 1985, -0.7 in 1989, and -1.9 in 1992/1993; P < .05 for all comparisons), but there was variation among states. Differences between BRFSS and CPS estimates were larger among men than among women and larger among Blacks than among Hispanics or Whites; for most states, these differences were not significant. CONCLUSIONS The BRFSS generally provides state estimates of smoking prevalence similar to those obtained from CPS, and these are appropriate for ongoing state surveillance of smoking prevalence.
Collapse
Affiliation(s)
- D R Arday
- Office on Smoking and Health, Centers for Disease Control and Prevention, Atlanta, Ga. 30341-3724, USA
| | | | | | | | | | | |
Collapse
|
39
|
Abstract
BACKGROUND Previous reports documented high rates of tobacco use among Alaska Natives (Eskimos, Indians, and Aleuts). In this population, tobacco use is the leading preventable cause of death. Lung cancer is the leading cause of cancer death among Alaska Natives and tobacco is responsible for over one-third of all cancer deaths in this population. Until recently there has been no systematic surveillance of the prevalence of tobacco use in this high-risk population. Data that did exist were not readily available to those primarily responsible for the health care of this population. This is the first time since 1990 that data on Alaska Natives have been collected in one analysis; this permits a more representative evaluation of tobacco use. METHODS Data on tobacco use were obtained and analyzed from national and state surveys and selected research projects from 1988 to 1993. RESULTS Alaska Natives have high prevalence of tobacco use, including both cigarettes and smokeless tobacco. Tobacco use prevalence among Alaska Natives exceeds that of Alaska non-Natives, U.S. whites, and American Indians/Alaska Natives in the United States outside of Alaska. Smoking prevalence among Alaska Native women is twice that of non-Native women in Alaska and nearly twice as high among pregnant Alaska Natives than pregnant non-Natives. Overall, prevalence of smokeless tobacco use was four times higher among Alaska Natives than comparative state and national populations. CONCLUSION Because this population has such high rates of tobacco use, it is important to public health that monitoring and educational programs be in place and that data specific to Alaska Natives be made available.
Collapse
Affiliation(s)
- S D Kaplan
- Alaska Area Native Health Service, Anchorage 99501, USA
| | | | | | | |
Collapse
|
40
|
Pierce JP, Choi WS, Gilpin EA, Farkas AJ, Merritt RK. Validation of susceptibility as a predictor of which adolescents take up smoking in the United States. Health Psychol 1997. [PMID: 8891714 DOI: 10.1037//0278-6133.15.5.355] [Citation(s) in RCA: 382] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Smoking onset has 4 levels, with a "susceptibility" level preceding early experimentation. This study assessed the predictive validity of smoking susceptibility in a longitudinal study of a nationally representative sample of 4,500 adolescents who at baseline reported never having puffed on a cigarette. At follow-up 4 years later, 40% of the sample had experimented with smoking, and 8% had established a smoking habit. Baseline susceptibility to smoking, defined as the absence of a firm decision not to smoke, was a stronger independent predictor of experimentation than the presence of smokers among either family or the best friend network. However, susceptibility to smoking was not as important as exposure to smokers in distinguishing adolescents who progressed to established smoking from those who remained experimenters at follow-up.
Collapse
Affiliation(s)
- J P Pierce
- Cancer Prevention and Control Program, Cancer Center, University of California, San Diego, La Jolla 92093-0901, USA
| | | | | | | | | |
Collapse
|
41
|
Pierce JP, Choi WS, Gilpin EA, Farkas AJ, Merritt RK. Validation of susceptibility as a predictor of which adolescents take up smoking in the United States. Health Psychol 1996; 15:355-61. [PMID: 8891714 DOI: 10.1037/0278-6133.15.5.355] [Citation(s) in RCA: 647] [Impact Index Per Article: 23.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Smoking onset has 4 levels, with a "susceptibility" level preceding early experimentation. This study assessed the predictive validity of smoking susceptibility in a longitudinal study of a nationally representative sample of 4,500 adolescents who at baseline reported never having puffed on a cigarette. At follow-up 4 years later, 40% of the sample had experimented with smoking, and 8% had established a smoking habit. Baseline susceptibility to smoking, defined as the absence of a firm decision not to smoke, was a stronger independent predictor of experimentation than the presence of smokers among either family or the best friend network. However, susceptibility to smoking was not as important as exposure to smokers in distinguishing adolescents who progressed to established smoking from those who remained experimenters at follow-up.
Collapse
Affiliation(s)
- J P Pierce
- Cancer Prevention and Control Program, Cancer Center, University of California, San Diego, La Jolla 92093-0901, USA
| | | | | | | | | |
Collapse
|
42
|
Abstract
Cigarette smoking is associated with many health hazards, ranging from lung cancer to low infant birth weight. In the United States in 1994, 23.1% of all women and 14.6% of pregnant women smoked. Few physicians ask their patients about smoking, although minimal effort by physicians could help many smokers to quit. This article summarizes the current data on smoking prevalence, reviews quitting techniques, covers topics of particular interest to physicians caring for women, and suggests ways in which physicians may become more active in preventing smoking among teens.
Collapse
Affiliation(s)
- J S Kendrick
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30341-3724, USA
| | | |
Collapse
|
43
|
Faulkner DL, Escobedo LG, Zhu BP, Chrismon JH, Merritt RK. Race and the incidence of cigarette smoking among adolescents in the United States. J Natl Cancer Inst 1996; 88:1158-60. [PMID: 8757196 DOI: 10.1093/jnci/88.16.1158] [Citation(s) in RCA: 26] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Affiliation(s)
- D L Faulkner
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | | | | |
Collapse
|
44
|
Siegel M, Nelson DE, Peddicord JP, Merritt RK, Giovino GA, Eriksen MP. The extent of cigarette brand and company switching: results from the Adult Use-of-Tobacco Survey. Am J Prev Med 1996; 12:14-6. [PMID: 8776289] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
To evaluate the effects of cigarette advertising on brand switching, an accurate estimate of the extent of cigarette brand and company switching among current smokers is needed. Data from the 1986 Adult Use-of-Tobacco Survey were analyzed to estimate the percentage of adult smokers who switched cigarette brands and companies in the previous year. Approximately 9.2% of adult smokers (4.2 million) switched cigarette brands in 1986, and 6.7% (3.1 million) switched cigarette companies. The aggregate profitability of brand switching in 1986 was approximately $362 million. Based on this analysis, brand switching alone justifies only a small percentage of a cigarette company's advertising and promotion expenditures, suggesting that future research should address other potential effects of advertising, including maintenance of brand loyalty and expanding the cigarette market. Medical Subject Headings (MeSH): addictive behavior, advertising, smoking, tobacco.
Collapse
Affiliation(s)
- M Siegel
- Office on Smoking and Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | | | | | | | | |
Collapse
|
45
|
Malarcher AM, Ford ES, Nelson DE, Chrismon JH, Mowery P, Merritt RK, Herman WH. Trends in cigarette smoking and physicians' advice to quit smoking among people with diabetes in the U.S. Diabetes Care 1995; 18:694-7. [PMID: 8586010 DOI: 10.2337/diacare.18.5.694] [Citation(s) in RCA: 43] [Impact Index Per Article: 1.5] [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] [Indexed: 02/03/2023]
Abstract
OBJECTIVE This study describes changes in the distribution of cigarette smoking and in physicians' advice to quit smoking among the U.S. population with and without diabetes from the mid-1970s to 1990. RESEARCH DESIGN AND METHODS Data on self-reported smoking status, physicians' advice to quit smoking, history of diabetes, and demographic characteristics were obtained from the 1974, 1985, and 1990 National Health Interview Surveys. We examined the age-adjusted prevalence of smoking and physicians' advice to quit smoking by race, sex, and educational level among individuals with diabetes and those without diabetes. RESULTS The prevalence of smoking decreased 9.8 percentage points from 1974 to 1990 among individuals with diabetes (from 35.6 to 25.8%, P < 0.01) and 11.7 percentage points among those without diabetes (from 37.3 to 25.6%, P < 0.01). For all years, younger individuals, men, and people with less than a high school education were more likely to smoke, regardless of diabetes status. Among individuals who had ever smoked, those with diabetes were more likely to have received advice to quit than those without diabetes; from 1974 to 1990, the percentage advised to quit smoking by a physician increased from 35.1 to 58.4% for smokers with diabetes and from 26.8 to 46.0% for smokers without diabetes. CONCLUSIONS Despite decreases in smoking prevalence over time, people with diabetes are still as likely to smoke as those without diabetes. More than 40% of smokers with diabetes currently report never having received advice from a physician to quit smoking. Health care providers should increase their efforts to reduce smoking among people with diabetes.
Collapse
Affiliation(s)
- A M Malarcher
- Epidemiology and Statistics Branch, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia 30341-3714, USA
| | | | | | | | | | | | | |
Collapse
|
46
|
Caspersen CJ, Merritt RK. Physical activity trends among 26 states, 1986-1990. Med Sci Sports Exerc 1995; 27:713-20. [PMID: 7674876] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Data to monitor physical activity from large, representative samples are rare. Therefore, we conducted standardized telephone surveys for 26 states participating in the Behavioral Risk Factor Surveillance System from 1986 through 1990. More than 34,800 adults aged 18 and older responded annually. We scored leisure time physical activity data into four patterns: 1) physically inactive, 2) irregularly active, 3) regularly active, not intensive, and 4) regularly active, intensive. Over time, roughly 6 in 10 persons were physically inactive or irregularly active. While almost 4 in 10 persons were regularly active, less than 1 in 10 were regularly active, intensive. There were statistically significant decreases (-2.3%) in physically inactive persons and significant increases (+2.1%) in persons classified as regularly active, intensive. The irregularly active pattern did not change, while only men of all ages and men less than age 30 increased the regularly active, not intensive pattern (+1.7% and +3.8, respectively). Improvements across the activity patterns varied by demographic group: women and older adults made the most beneficial changes, while races other than white and the least educated groups had unfavorable changes. Despite many improvements, most persons still did little or no physical activity, signaling the need for enhanced intervention efforts.
Collapse
Affiliation(s)
- C J Caspersen
- Cardiovascular Health Studies Branch, Centers for Disease Control and Prevention, Atlanta, GA 30341-3724, USA
| | | |
Collapse
|
47
|
Siegel M, Arday DR, Merritt RK, Giovino GA. Re: "Risk attribution and tobacco-related deaths". Am J Epidemiol 1994; 140:1051; author reply 1053-4. [PMID: 7985653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
|
48
|
|
49
|
Giovino GA, Schooley MW, Zhu BP, Chrismon JH, Tomar SL, Peddicord JP, Merritt RK, Husten CG, Eriksen MP. Surveillance for selected tobacco-use behaviors--United States, 1900-1994. MMWR CDC Surveill Summ 1994; 43:1-43. [PMID: 7969014] [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] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
PROBLEM/CONDITION Surveillance of tobacco use is an essential component of any tobacco-control program. The information gathered can be used to guide research initiatives, intervention programs, and policy decisions. REPORTING PERIODS: This report covers the period 1900-1994 for per capita cigarette consumption; 1965-1991 for trends in cigarette smoking prevalence and cessation; 1974-1991 for trends in the number of cigarettes smoked daily by current smokers; 1987-1991 for recent patterns of tobacco use; 1970, 1987, and 1991 for trends in cigar/pipe smoking and snuff/chewing tobacco use; 1984-1992 for trends in state-specific prevalences of regular cigarette smoking; 1987-1992 for state-specific estimates of smokeless-tobacco use; and 1976-1993 for trends in cigarette smoking among U.S. high school seniors. DESCRIPTION OF SYSTEMS Estimates of cigarette consumption are reported by the U.S. Department of Agriculture, which uses data from the U.S. Department of the Treasury, the U.S. Department of Commerce, the Tobacco Institute, and other sources. The National Health Interview Survey uses household interviews to provide nationally representative estimates (for the civilian, noninstitutionalized population) of cigarette smoking and other behaviors related to tobacco use. The Behavioral Risk Factor surveillance System uses telephone surveys of civilian, noninstitutionalized adults (> or = 18 years of age) to provide state-specific estimates of current cigarette smoking and use of smokeless tobacco. The University of Michigan's Institute for Social Research uses school-based, self-administered questionnaires to gather data on cigarette smoking from a representative sample of U.S. high school seniors. RESULTS During the period 1900-1963, per capita cigarette consumption increased; after 1964, consumption declined. During the years 1965-1991, current cigarette smoking prevalence among persons ages > or = 18 years declined overall and in every sociodemographic category examined. Decrease in current smoking prevalence was slow in some groups (e.g., among persons with fewer years of formal education). Both the prevalence of never smoking and the prevalence of cessation increased from 1965 through 1991. The prevalence of current cigarette smoking, any tobacco smoking, and any tobacco use was highest among American Indians/Alaska Natives and non-Hispanic blacks and lowest among Asians/Pacific Islanders. The prevalence of cigar smoking and pipe smoking has declined substantially since 1970. The prevalence of smokeless-tobacco use among white males ages 18-34 years was higher in 1987 and 1991 than in 1970; among persons > or = 45 years of age, the use of smokeless tobacco was more common among blacks than whites in 1970 and 1987. Cigarette smoking prevalence has decreased in most states. The prevalence of smokeless tobacco use was especially high among men in West Virginia, Montana, and several southern states. From 1984-1993, prevalence of cigarette smoking remained constant among U.S. high school seniors. However, prevalence increased slightly for male seniors and white seniors, decreased slightly for female high school seniors, and decreased sharply for black high school seniors. INTERPRETATION With the exceptions of increases in cigarette smoking among white and male high school seniors and in the use of smokeless tobacco among white males ages 18-34 years, reductions in tobacco use occurred in every subgroup examined. This decrease must continue if the national health objectives for the year 2000 are to be reached. ACTIONS TAKEN Surveillance of tobacco use is ongoing. Effective interventions that discourage initiation and encourage cessation are being disseminated throughout the United States.
Collapse
Affiliation(s)
- G A Giovino
- Office on Smoking and Health, CDC, Atlanta, GA
| | | | | | | | | | | | | | | | | |
Collapse
|
50
|
Nelson DE, Kirkendall RS, Lawton RL, Chrismon JH, Merritt RK, Arday DA, Giovino GA. Surveillance for smoking-attributable mortality and years of potential life lost, by state--United States, 1990. MMWR CDC Surveill Summ 1994; 43:1-8. [PMID: 8208238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
PROBLEM/CONDITION Mortality and years of potential life lost attributable to cigarette smoking. REPORTING PERIOD COVERED 1990. DESCRIPTION OF SYSTEM Mortality and years of potential life lost were estimated for each state by using the Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) software. These estimates were based on attributable risk formulas for smoking-related causes of death. Estimates of smoking prevalence were obtained from the Behavioral Risk Factor Surveillance System and the U.S. Bureau of the Census, and mortality data were obtained from CDC. RESULTS The median estimate for the number of smoking-attributable deaths among states was 5,619 (range: 402 [Alaska] to 42,574 [California]). Within each state, the number of smoking-attributable deaths among males was approximately twice as high as among females. Utah had the lowest mortality rate (218.0 per 100,000 population) and the lowest percentage of all deaths attributable to cigarette smoking (13.4%). Nevada had the highest mortality rate (478.1 per 100,000 population) and the highest percentage of deaths from smoking (24.0%). The number of years of potential life lost ranged from 6,720 (Alaska) to 498,297 (California). INTERPRETATION The number of deaths attributable to cigarette smoking in 1990 remained high. Efforts are needed to control tobacco use in all states. ACTIONS TAKEN SAMMEC data are used in many states to assist policymakers in strengthening tobacco control efforts.
Collapse
|