| Token | #4582 of SciMatic Articles (ERC-1155), fixed supply 1,000,000 |
|---|---|
| Contract | 0x0E596B4bb924937aA35D9b342A90347ed6F05eF8 |
| Mint transaction | 0x68d77f71b879265f66efca472147c0bda177e2e7a8e2e935dc0ff2b5d3ba680a · block 12103657 |
| Minted | 2026-10-02 02:40 UTC |
| Hash on chain | 0x3a32a093883dffb8724834360651f21dbfb52199c70a0c104a73e8745375214b |
| SHA-256 of the record | 0x3a32a093883dffb8724834360651f21dbfb52199c70a0c104a73e8745375214b |
| Article today | Matches the anchored record. |
| Holder | Wallet | Minted | Holds now |
|---|---|---|---|
| SciMatic (10%) | 0xc35709AB…277732 | 100,000 | 100,000 |
| Kristoffer Villareal | 0x50fD17d8…58D9ce | 900,000 | 900,000 |
Canonical JSON (keys sorted, no spaces, UTF-8). Its SHA-256 is the hash on chain.
{"abstract":"Chronic diseases like diabetes and hypertension are significant public health challenges globally, especially in resource-limited rural settings like Barangay Damilag. An increasing incidence of these conditions with limited accessibility to healthcare necessitates effective self-management to improve their outcomes. This study aims to determine the correlation between health literacy, social support, psychological factors, and self-management among chronic disease patients. The study employed descriptive correlational and causal research design, and data were collected from 256 samples using a survey questionnaire. Findings revealed that health literacy (M = 3.55, SD = 0.72) - knowledge of disease (M = 3.60, SD = 0.82, r = 0.218, p = .001) , medication management skills (M = 4.07, SD = 0.553, r = 0.038, p = .550) , and access to health information (M = 2.97, SD = 0.788, r = 0.123, p = .05) -- significantly predicts self-management by enabling informed decision-making and improved treatment adherence. Social support (M = 3.37, SD = 0.853) , such as family (M = 4.04, SD = 0.824, r = 0.627, p = .000), and peers (M = 2.51, SD = 0.895, r = 0.006, p = .929), showed moderate barriers to self-care and improved emotional resilience. Psychological determinants (M = 3.50, SD = 0.858) - self-efficacy (M = 3.61, SD = 0.839, r = 0.714, p = .000), and motivation (M = 3.91, SD = 0.957, r = 0.451, p = .001) - emerged as the strongest predictors of self-management. Through regression and structural equation modeling analyses, the researcher identified causal pathways and the combined impact of these factors on self-management. The study contributes insight for healthcare practitioners, policymakers, and community organizations by highlighting the need for holistic interventions. Recommended strategies to address barriers and optimize self-management include integrating health education, social support systems, and psychological empowerment.","abstract_source":"original","authors":["Kristoffer Villareal"],"date":"2025-02-27","doi":"10.5281/zenodo.14936204","id":4582,"issue":7,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"f832e2333b09160645268a5e09de61a509289791354764d6067c2faea2ef22d1","schema":"scimatic-article/1","title":"Health Literacy, Social Support, and Psychological Determinants on Self-Management of Patients with Chronic Diseases","volume":32}
1. The record, from the token's own metadata:
printf '%s' "$(curl -s https://scimatic.org/nft/articles/4582.json | jq -r .canonical_record)" | sha256sum
2. The hash stored on chain (contentHash(4582)):
curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c29000000000000000000000000000000000000000000000000000000000000011e6"},"latest"]}'
The two must be equal (the second with a 0x in front).