Geoclimatology and sleep in Africa: A mini-review
Bibliographic record
Abstract
Sleeping habits and morningness-eveningness questionnaires (chronotype), and polysomnography (internal sleep organization) were proposed to healthy volunteers living under natural climates from different locations in West Africa (Niger, Côte d'Ivoire) and Central Africa (Angola, Congo). Under the Sahelian dry climate, 138 Niger medical students (130 had afternoon naps) completed 1792 sleep questionnaires during 7-day sessions in the cool-dry and hot-dry seasons. As everywhere else on Earth, daily sleep lasted 7 to 8hours. In Abidjan (hot-humid climate), 78 medical students reported shorter sleep time, because of course schedules. Also in Abidjan, 23 African sportsmen and Expatriate soldiers slept at night and in afternoon naps. They reported similar sleep amounts than Niger students. In Congo villages, during a 5-year human African trypanosomiasis (HAT) research campaign, 45 healthy volunteers expressed morning chronotypes. The 71 HAT patients shifted from the indifferent chronotype towards morningness type. Chronotyping such patients may help evaluating treatment efficacy on brain function alterations. French soldiers executing missions in Africa were typed for morningness-eveningness. Regarding malaria prophylaxis and mosquito control, morning chronotype was more compliant than evening type. Polysomnography demonstrated internal sleep organization differences in different geoclimatic zones. The Sahelian climate promoted N3 slow-wave sleep in Africans and Expatriates during both the cool-dry and hot-dry seasons, with higher amounts in the hot-dry season. Increasing heat load by physical exercise further augmented N3. Rapid-eye-movement R sleep was high compared with values from temperate and hot-humid climates. Supramaximal exercise triggered a surprising R stage increase in the hot-dry season. In Côte d'Ivoire, Caucasian and African volunteers fragmented their sleep, although internal sleep organization approached that of temperate climates. Sleep patterns were also similar in Angola high hills and on Congo River shores. Therefore, Africans and Caucasians living in Niger hot-dry Sahelian climate exhibited major differences with those exposed to hot-humid or temperate climates.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".