Fig 1.
Geographical variations in the IHD burden attributable to high BMI among young adults and adolescents worldwide. Republished from the Resource and Environment Science and Data Center (https://www.resdc.cn/) under a CC BY license, with permission from the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, original copyright [2025]
(A) Global distribution of DALYs due to IHD per 100,000 population among individuals aged 20-49 years. (B) Global distribution of mortality rates due to IHD per 100,000 population among individuals aged 20-49 years.
Fig 2.
Diverging epidemiological trends in high BMI-Attributable IHD burden across sociodemographic contexts.
(A) Global trends in DALYs attributable to high BMI from 1990 to 2021. (B-F) DALY trends across different SDI levels from 1990 to 2021, including low SDI, low-middle SDI, middle SDI, high-middle SDI, and high SDI countries.
Fig 3.
Heterogeneous age-period-cohort trends in high BMI-Attributable IHD burden across sociodemographic contexts.
Fig 4.
Age effects on the epidemiological transition of high BMI-Attributable IHD burden across sociodemographic contexts.
(A) Age-specific rates (per 100,000 population) of ischemic heart disease attributable to high body mass index. (B) Relative risk ratios across age groups, providing insights into age, period, and cohort effects.
Fig 5.
Divergent period and cohort effects on the epidemiological transition of high BMI-Attributable IHD burden across sociodemographic contexts.
(A) Period effects, representing the influence of time-varying factors on the ischemic heart disease burden. (B) Cohort effects, capturing the differences in disease burden across birth cohorts.
Fig 6.
Heterogeneous drivers of health burden transitions across sociodemographic contexts.
Fig 7.
Widening gender disparities in total cases and age-standardized rates.