CortexLit tool · Nutrition basics · Runs offline · No account
Three Dinner Planner
Plan a set number of dinners with overlapping ingredients and print the shopping list.
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This tool gives general information based on the research summarised in Meal Planning: What It Is Associated With, and What It Costs. It is not a medical device, does not diagnose, and does not replace advice from your clinician.
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- dinner plan with shared ingredients
- printable shopping list
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- all citations and cautions
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- calendar (.ics) shopping and cooking reminders
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Commercial disclosure: optional paid Plus tier; all evidence, cautions and the main result are free. No affiliate links, no sponsors.
What this is based on
Every output names at least one verified PubMed source. Identifiers were verified on 2026-10-11 in an earlier batch and carried over into this build; they were not re-queried here, and no retraction database was checked. Verification was at abstract level.
Mills 2017
Mills S, Brown H, Wrieden W, et al. Frequency of eating home cooked meals and potential benefits for diet and health: cross-sectional analysis of a population-based cohort study. Int J Behav Nutr Phys Act. 2017;14(1):109. doi:10.1186/s12966-017-0567-y. PMID: 28818089.
PMID 28818089 · observational study · weight 0.5 · abstract level
Ducrot 2017
Ducrot P, Méjean C, Aroumougame V, et al. Meal planning is associated with food variety, diet quality and body weight status in a large sample of French adults. Int J Behav Nutr Phys Act. 2017;14(1):12. doi:10.1186/s12966-017-0461-7. PMID: 28153017.
PMID 28153017 · observational study · weight 0.5 · abstract level
Monsivais 2014
Monsivais P, Aggarwal A, Drewnowski A. Time spent on home food preparation and indicators of healthy eating. Am J Prev Med. 2014;47(6):796-802. doi:10.1016/j.amepre.2014.07.033. PMID: 25245799.
PMID 25245799 · observational study · weight 0.5 · abstract level
Limits: This organises your own ingredients into a plan; it does not assess nutritional adequacy, and the diet-quality association it quotes is cross-sectional.
Privacy
Inputs stay in this page's memory. There is no telemetry, no analytics call and no network request. Saving is opt-in, local to this browser, deletable, and unencrypted.