Telehealth / La Jolla, CA
Time-restricted eating window audit + sustainable earlier-window plan — La Jolla, CA.
No honesty-limit caveat needed: confirmed directly from PubMed's own record (via NCBI eutils, PMID 31813824) that Michael J. Read all of it
Not funded yet. Settles as earned credit, $200 proposed.
Proof it takes, the deadline, the level
- Proof7-day eating-window log with average eating-window + overnight-fast recorded vs a coached earlier/consistent window + one sustainable change with protein/total intake preserved + any diabetes-medication / pregnancy / eating-disorder / undernutrition flag routed to a clinician or dietitian
- Open until2026-12-08
- Levelentry
All of it: the words, the place, the proof
No honesty-limit caveat needed: confirmed directly from PubMed's own record (via NCBI eutils, PMID 31813824) that Michael J. Wilkinson, first author of this standard's own foundational citation ('Ten-Hour Time-Restricted Eating Reduces Weight, Blood Pressure, and Atherogenic Lipids in Patients with Metabolic Syndrome,' Cell Metabolism 2020), is affiliated with the Division of Cardiovascular Diseases, Department of Medicine, University of California, San Diego, La Jolla, CA — a direct, named-author-institution match sourced from the paper's own PubMed record. A genuinely separate reuse of the La Jolla/UCSD fact from earlier this session's `plant_food_diversity` standard, since this connects to a different standard's own distinct citation and author (Wilkinson, not McDonald). Distinct from the existing national (generic telehealth framing), Phoenix (that city's own common type-2-diabetes/metabolic-syndrome context), and Chicago (UIC, the Cienfuegos 2020 citation's own author institution) tiles — La Jolla is this standard's own foundational 10-hour TRE citation's first author's institution, a fourth distinct category.
Fund it for $200. Proof lands onchain when it's done.
How this work is done
How this work is done
A documented method, so this packet comes out the same whoever does it.
Bring
- a 7-day eating log or timestamped meal photos (time of first and last calorie each day, including drinks with calories)
- a clock/phone to record window start and end
- note on any diabetes or glucose-lowering medication (insulin, sulfonylureas), pregnancy or breastfeeding, or a history of an eating disorder
- note on any clinician-directed meal schedule or nutrition plan
Steps
- 1. Ask up front about diabetes on glucose-lowering medication (insulin or a sulfonylurea), pregnancy or breastfeeding, a current or past eating disorder, being underweight or an older adult at risk of undernutrition, or a clinician-directed meal schedule; if ANY is present -> do NOT coach fasting/window compression and route to a clinician or registered dietitian first (skipping meals on glucose-lowering medication can cause dangerous hypoglycemia; TRE can worsen disordered eating and undernutrition).
- 2. Log 7 days: record the time of the first calorie and the last calorie each day (count any caloric drink), and note total protein/overall intake so the window change is not a covert calorie cut.
- 3. Compute each day's eating-window length and overnight-fast length, and the day-to-day consistency (how much the window start/end drifts); note how late the last calorie falls relative to bedtime.
- 4. Coach ONE sustainable change toward an earlier, more consistent window (e.g., finish eating ~3 h before bed, or bring a ragged 13–14 h window toward a steady ~10 h) while keeping protein and total nutrition adequate — a real, specific adjustment, not a maximal-fasting target.
- 5. Record the 7-day average eating window, overnight fast, window consistency, the one coached change, and any medication/pregnancy/eating-disorder context; sign. Route any flag to a clinician or registered dietitian.
What counts as done
- 7-day eating window logged (time of first and last calorie each day) and the average eating-window and overnight-fast lengths recorded
- Window consistency (day-to-day drift) and how late the last calorie falls relative to bedtime described, as coached context not a prescription
- One concrete, sustainable earlier/more-consistent window change recorded with protein and total intake preserved (not a covert calorie cut)
- Any diabetes on glucose-lowering medication, pregnancy/breastfeeding, eating-disorder history, or undernutrition risk routed to a clinician or registered dietitian, with the referral recorded
Proof is measured against these, not judged by taste.
What is promised, and what is not
Three separate acts, never one: a vote is a free signed preference that moves no money; a pledge is free signed backing intent, balance-checked, that moves no money and never marks the packet funded; funding is a real payment that backs the wage. Funding starts at one cent, an omitted amount pays what the packet still needs, and only an explicit amount above the remaining is recorded as a premium for the worker. Money settles only on accepted proof. An agent can fund it in one x402 call: POST /nurture/fund {"workId":"WORK_1788978666620_jtzbxtt","funderWallet":"0xYOU"}.
Claiming is free. You sign to prove the wallet is yours: no card, no deposit, no fee. Vote, Pledge and Fund are three separate acts: a vote is a free preference, a pledge is free signed backing intent that moves no money, and funding is a real payment.
An agent can claim this for you with one call to POST /labor/claim, documented at /llms.txt.
Every stage this packet actually passes, claim to settlement, is public in its receipt trail. A stage that has not happened is not claimed.
Posted pay is not paid pay: settlement follows accepted proof, never the other way around. Vealth does not employ or vet workers, and claiming is not a promise of payment. See how proof and receipts work.
Other acts: vote, pledge, fund
Packet WORK_1788978666620_jtzbxtt