Sociodemographic disparities in cardiovascular mortality by self-rated physical health: A US nationwide county-level analysis

被引:0
|
作者
Munir, Malak [1 ]
Aldosoky, Wesam [2 ,3 ,4 ]
Saif, Riyadh [5 ]
Sayed, Ahmed [1 ]
Bagga, Arindam [6 ]
Kittaneh, Ameer [7 ]
Elbanna, Mostafa [8 ]
Dar, Tawseef [9 ]
Abohashem, Shady [2 ,3 ,4 ,10 ]
机构
[1] Ain Shams Univ, Fac Med, Cairo, Egypt
[2] Massachusetts Gen Hosp, Cardiovasc Res Ctr, Cardiol Div, Boston, MA USA
[3] Massachusetts Gen Hosp, Cardiol Div, Boston, MA USA
[4] Harvard Med Sch, Boston, MA USA
[5] Berkshire Med Ctr, Dept Internal Med, Worcester, MA USA
[6] Johns Hopkins Univ, Publ Hlth Dept, Baltimore, MD USA
[7] Ohio State Univ, Dept Internal Med, Columbus, OH USA
[8] Rochester Med Ctr, Dept Internal Med, Rochester, NY USA
[9] Mt Sinai Med Ctr, Dept Cardiol, New York, NY USA
[10] Harvard Sch Publ Hlth, Epidemiol Dept, Boston, MA USA
关键词
Cardiovascular mortality; Self-rated health; Health policy; Cardiovascular prevention; Socioeconomic health disparities; RISK; CARE;
D O I
10.1016/j.puhe.2024.09.003
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objective: We investigated the association between self-rated poor physical health (srPPH), a validated proxy measure of health-related quality of life, and age-adjusted cardiovascular mortality (AACVM) rates across overall U.S. counties and within various demographics. Study design: Nationwide county-level analysis. Methods: We analyzed county-level data spanning 2010-2019 from the Behavioral Risk Factors Surveillance System (BRFSS) and the Centers for Disease Control and Prevention (CDC). This analysis included data from 2892 counties with complete records on srPPH and AACVM. srPPH was defined as the age-adjusted average number of days respondents reported being in poor physical health over the past 30 days. To estimate the average srPPH per resident in each county, the CDC utilized validated statistical models applied to BRFSS data. To assess the association between srPPH and AACVM, we employed Poisson Generalized Linear Mixed Models, generating incident rate ratios (IRRs). Results: Out of the 307,045,647 residents living in 2892 U S. counties in 2010, 8,157,571 (2.7 %) cardiovascular deaths were recorded during the study period. Counties where residents reported the greatest number of physically unhealthy days-indicative of higher srPPH-experienced the highest AACVM rates, despite significant decreases in overall AACVM rates from 2010 to 2019. Moreover, srPPH was independently associated with higher AACVM rates (IRR: 1.018; 95 % CI: 1.011 to 1.025) across most demographic groups, except Hispanics. This association was particularly strong among middle-aged (45-64 years old) women and elderly (>= 65 years old) non-Hispanic Black individuals. Conclusion: srPPH may serve as a valuable community health marker that can help identify populations at risk for cardiovascular mortality, independent of other social determinants of health. When used in combination with objective measures of cardiovascular health, this metric can enhance targeted screening and intervention efforts in high-risk populations.
引用
收藏
页码:404 / 411
页数:8
相关论文
共 50 条
  • [41] Socioeconomic determinants of health and county-level variation in cardiovascular disease mortality: An exploratory analysis of Georgia during 2014-2016
    Adepu, Sanjana
    Berman, Adam E.
    Thompson, Mark A.
    PREVENTIVE MEDICINE REPORTS, 2020, 19
  • [42] The association between county-level premature cardiovascular mortality related to cardio-kidney-metabolic disease and the social determinants of health in the US.
    Cotton, Antoinette
    Salerno, Pedro R. V. O.
    Deo, Salil, V
    Virani, Salim
    Nasir, Khurram
    Neeland, Ian
    Rajagopalan, Sanjay
    Sattar, Naveed
    Al-Kindi, Sadeer
    Elgudin, Yakov E.
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [43] Self-rated health among adolescents from vulnerable areas and their sociodemographic, lifestyle and contextual factors: A multilevel analysis
    de Sales, Erika Nayara Benicio Goncalves
    Barbosa, Valter Cordeiro
    Maciel, Gabriel Pereira
    de Castro, Victor Hugo Santos
    de Bastos, Patricia Oliveira
    Vieira, Neiva Francenely Cunha
    CHILD CARE HEALTH AND DEVELOPMENT, 2024, 50 (01)
  • [44] County-Level Social Determinants of Health and Coronary Heart Disease: An Ecological Analysis of US Adults
    Zheutlin, Alexander R.
    Stulberg, Eric L.
    Chaitoff, Alexander
    Harris, Benjamin R. E.
    MAYO CLINIC PROCEEDINGS, 2025, 100 (02) : 381 - 383
  • [45] Application of Machine Learning to Determine United States County-level Health Predictors of Disparities in Gastrointestinal Cancer Mortality Trends
    Jaraczewski, Taylor J.
    Thalji, Sam
    SenthilKumar, Gopika
    Clarke, Callisia N.
    Gamblin, T. Clark
    Maduekwe, Ugwuji
    Kothari, Anai
    ANNALS OF SURGICAL ONCOLOGY, 2022, 29 (SUPPL 2) : 400 - 400
  • [46] HEMOGLOBIN A1C LEVEL, SELF-RATED HEALTH, AND PHYSICAL PERFORMANCE AMONG OLD JAPANESE
    Nyquist, L.
    Liang, J.
    Bennett, J. M.
    Shinkai, S.
    Fujiwara, Y.
    Yoshida, H.
    GERONTOLOGIST, 2010, 50 : 292 - 292
  • [47] Does the state you live in make a difference? Multilevel analysis of self-rated health in the US
    Subramanian, SV
    Kawachi, I
    Kennedy, BP
    SOCIAL SCIENCE & MEDICINE, 2001, 53 (01) : 9 - 19
  • [48] Differences in Self-Rated Health and Physical Activity Due to Education Level among Koreans: Understanding Implications of Physical Education
    Chang, Byung-Kweon
    IRANIAN JOURNAL OF PUBLIC HEALTH, 2021, 50 (10) : 1983 - 1992
  • [49] Self-rated health and mortality in older men and women: A time-dependent covariate analysis
    Lyyra, Tiina-Mari
    Leskinen, Esko
    Jylha, Marja
    Heikkinen, Eino
    ARCHIVES OF GERONTOLOGY AND GERIATRICS, 2009, 48 (01) : 14 - 18
  • [50] Association of physical performance and self-rated health with multimorbidity among older adults: Results from a nationwide survey in Japan
    Ishizaki, Tatsuro
    Kobayashi, Erika
    Fukaya, Taro
    Takahashi, Yoshimitsu
    Shinkai, Shoji
    Liang, Jersey
    ARCHIVES OF GERONTOLOGY AND GERIATRICS, 2019, 84