Health Status of Widows as a Correlate of Their Participation in Community Development Projects in Nsukka, Enugu State, Nigeria
Bibliographic record
Abstract
OBJECTIVES: This study seeks to examine the health status of widows and investigate its effect on their participation in community development projects. METHODS: A cross-sectional study was conducted on the widows and non-widows in six communities out of the 18 communities in Nsukka local government area of Enugu state, Nigeria from 15 January to 29 March 2019. The respondents were tested clinically based on the following health indices; blood pressure, blood sugar level, malaria parasite and typhoid. The widows were also asked the extent to which their health conditions affect their participation in community development projects. RESULTS: The mean blood pressure level of the widows is 160.2100.4Mm/Hg while their mean blood sugar level is 129.8 Mg/dl. 55% of the widows tested positive to typhoid while another 53% tested positive to malaria parasite. Majority (72%) of the widows revealed that health condition such as poor eye sight; arthritis; rheumatism; high blood pressure; diabetes; malaria; typhoid; cough and ulcer limit their participation in community development projects. CONCLUSIONS: The widows in Nsukka have a poor health status when compared to the non-widows in the region, which to a great extent, limits their participation in the community development projects available to them. Therefore, there is a very strong correlation between the health status of widows in Nsukka and their participation in the community development projects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".