Automated Author ProfileK., Anindya
K., Anindya
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Introduction: This study aims to assess the within- and between-states inequality in hypertension management and CVD risk across sociodemographic groups in India; and the correlation between states/UTs expenditure on health, hypertension management, and CVD risk.Methods: This study utilized cross-sectional data from 2017/2018 Longitudinal Aging Study in India (LASI), with a total sample of 58,848 respondents aged ≥45 years. Hypertension management was assessed based on hypertension awareness, treatment, and control, while 10-year CVD risk was measured using the 2019 WHO CVD risk. We used multilevel logistic regression models to estimate the socioeconomic inequality in hypertension management and 10-year CVD risk, measured by the relative index of inequality (RII).Results: Rural areas had a substantially poorer coverage of hypertension awareness, treatment, and control compared with urban areas. Richest socioeconomic groups were more likely to be aware of their hypertensive status (RII 1.28, 95% CI 1.16–1.42), to receive antihypertensive treatment (RII 1.47, 95% CI 1.28–1.69), to have their blood pressure controlled (RII 1.60, 95% CI 1.34–1.90), and to have 10-year CVD risk < 10% (1.06, 95% CI 1.01–1.12) compared to the poorest. The VPC ranged from 1.5% for 10-year CVD risk to 9.9% for hypertension control. There was no significant correlation between socioeconomic inequality in hypertension management, 10-year CVD risk, and the per capita public health expenditure of states/UTs.Conclusion: Differences in state-level health system capacity may disproportionately affect socioeconomically disadvantaged populations, underscoring the need for more equitable hypertension management and cardiovascular health strategies across India.
Authors
- karger, figshare admin ;
- K., Anindya ;
- Y., Zhao ;
- S., Vellakkal ;
- A., Perianayagam ;
- S., Pati ;
- T., Marthias ;
- M., Malik ;
- J.T., Lee
Introduction: This study aims to assess the within- and between-states inequality in hypertension management and CVD risk across sociodemographic groups in India; and the correlation between states/UTs expenditure on health, hypertension management, and CVD risk.Methods: This study utilized cross-sectional data from 2017/2018 Longitudinal Aging Study in India (LASI), with a total sample of 58,848 respondents aged ≥45 years. Hypertension management was assessed based on hypertension awareness, treatment, and control, while 10-year CVD risk was measured using the 2019 WHO CVD risk. We used multilevel logistic regression models to estimate the socioeconomic inequality in hypertension management and 10-year CVD risk, measured by the relative index of inequality (RII).Results: Rural areas had a substantially poorer coverage of hypertension awareness, treatment, and control compared with urban areas. Richest socioeconomic groups were more likely to be aware of their hypertensive status (RII 1.28, 95% CI 1.16–1.42), to receive antihypertensive treatment (RII 1.47, 95% CI 1.28–1.69), to have their blood pressure controlled (RII 1.60, 95% CI 1.34–1.90), and to have 10-year CVD risk < 10% (1.06, 95% CI 1.01–1.12) compared to the poorest. The VPC ranged from 1.5% for 10-year CVD risk to 9.9% for hypertension control. There was no significant correlation between socioeconomic inequality in hypertension management, 10-year CVD risk, and the per capita public health expenditure of states/UTs.Conclusion: Differences in state-level health system capacity may disproportionately affect socioeconomically disadvantaged populations, underscoring the need for more equitable hypertension management and cardiovascular health strategies across India.
Authors
- karger, figshare admin ;
- K., Anindya ;
- Y., Zhao ;
- S., Vellakkal ;
- A., Perianayagam ;
- S., Pati ;
- T., Marthias ;
- M., Malik ;
- J.T., Lee