Automated Author ProfileA. Strand, Tor
Innlandet Hospital Trust
A. Strand, Tor
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: 1.1 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Early-life interventions targeting maternal and child health, nutrition, and psychosocial care may influence infant growth and immune development by modulating systemic inflammation and growth factor pathways. However, causal evidence of comprehensive, integrated interventions initiated during early life is limited. The study was nested in a factorial randomized controlled trial (RCT) in women aged 18–30 years. Participants included in this study were randomized to receive either a preconception intervention package or routine care until early childhood. The intervention included health care for growth-related conditions, nutrition, WASH (water, sanitation, and hygiene), and psychosocial care. The primary study demonstrated a substantial effect of the intervention on growth and development. Blood samples from 381 (178 from the intervention group and 203 from the control group) infants were analyzed at 3 and 6 months of age for inflammatory and growth-related biomarkers: C-reactive protein (CRP), alpha-1-acid glycoprotein (AGP), insulin-like growth factor 1 (IGF-1), and IGF binding protein 3 (IGFBP3). Generalized linear models were used to estimate the mean differences and relative risks of inflammatory markers and growth-related biomarkers between the intervention and routine care groups. Baseline maternal characteristics were similar between the two study groups. At 3 and 6 months, the proportion of infants with CRP levels greater than 5 mg/L was similar in both groups. No significant differences were observed in AGP or IGF-1 concentrations at either time point. IGFBP3 was lower in the intervention group at 3 months (adjusted mean difference: –30.8 ng/mL; 95% CI: –55.3, –6.3), but this effect was not sustained at 6 months. An integrated intervention delivered from preconception through pregnancy and early childhood did not result in reductions in markers of systemic inflammation or sustained improvements in growth factor profiles during the first six months of life. These findings highlight the complexity of early-life inflammatory processes and underscore the need for further research on the long-term and synergistic effects of early interventions in low-resource settings.
Authors
- Chowdhury, Ranadip ;
- Maiti, Urmimala ;
- Devi, Sarita ;
- M. Pasanna, Roshni ;
- Taneja, Sunita ;
- P Majumder, Partha ;
- A. Strand, Tor ;
- M. Pandey, R ;
- V. Kurpad, Anura ;
- Mukherjee, Souvik ;
- Bhandari, Nita