An update of Åhlberg (2021a): A profound explanation of why eating green (wild) edible plants promote health and longevity
Abstract Last year I found 52 health‐promoting ions and compounds that all green (wild) edible plants share. According to experimental research, of these 52 compounds and ions, ten compounds and ions prevent Alzheimer's disease. Later, I have found four new similar compounds in the current arti...
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Format: | Article |
Language: | English |
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Wiley
2022-09-01
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Series: | Food Frontiers |
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Online Access: | https://doi.org/10.1002/fft2.148 |
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author | Mauri K. Åhlberg |
author_facet | Mauri K. Åhlberg |
author_sort | Mauri K. Åhlberg |
collection | DOAJ |
description | Abstract Last year I found 52 health‐promoting ions and compounds that all green (wild) edible plants share. According to experimental research, of these 52 compounds and ions, ten compounds and ions prevent Alzheimer's disease. Later, I have found four new similar compounds in the current article that promote health and longevity: 1) acetylcholine, 2) choline, 3) phytic acid, and 4) terpenoids. According to the latest experimental research, from the 56 health‐promoting compounds and ions, the following 16 substances prevent Alzheimer's disease: (1) alpha‐linolenic acid, (2) ascorbic acid, (3) carotenoids, (4) caffeic acid, (5) choline, (6) dietary fibers, (7) flavonoids, (8) lutein, (9) melatonin, (10) phenolic acids, (11) phenolic compounds, (12) phytic acid, (13) polyphenols, (14) polysaccharides, (15) silicon and silicates, and (16) terpenoids. In this update, I discuss the nature of generalization in plant science and human nutrition science. Statistically, random sampling is not possible. Purposeful sampling is the best option. Accordingly, strictly statistical inferences are not possible. The best available options are theoretical generalizations from the best‐case studies. However, when researchers use experimental designs to test whether plant substances promote health and longevity and make statistical assumptions, they use statistical inferences and generalizations. |
first_indexed | 2024-04-11T11:46:41Z |
format | Article |
id | doaj.art-7bf82a725b2c4074a2f8297a814a25ce |
institution | Directory Open Access Journal |
issn | 2643-8429 |
language | English |
last_indexed | 2024-04-11T11:46:41Z |
publishDate | 2022-09-01 |
publisher | Wiley |
record_format | Article |
series | Food Frontiers |
spelling | doaj.art-7bf82a725b2c4074a2f8297a814a25ce2022-12-22T04:25:33ZengWileyFood Frontiers2643-84292022-09-013336637910.1002/fft2.148An update of Åhlberg (2021a): A profound explanation of why eating green (wild) edible plants promote health and longevityMauri K. Åhlberg0Faculty of Educational Sciences University of Helsinki Helsinki FinlandAbstract Last year I found 52 health‐promoting ions and compounds that all green (wild) edible plants share. According to experimental research, of these 52 compounds and ions, ten compounds and ions prevent Alzheimer's disease. Later, I have found four new similar compounds in the current article that promote health and longevity: 1) acetylcholine, 2) choline, 3) phytic acid, and 4) terpenoids. According to the latest experimental research, from the 56 health‐promoting compounds and ions, the following 16 substances prevent Alzheimer's disease: (1) alpha‐linolenic acid, (2) ascorbic acid, (3) carotenoids, (4) caffeic acid, (5) choline, (6) dietary fibers, (7) flavonoids, (8) lutein, (9) melatonin, (10) phenolic acids, (11) phenolic compounds, (12) phytic acid, (13) polyphenols, (14) polysaccharides, (15) silicon and silicates, and (16) terpenoids. In this update, I discuss the nature of generalization in plant science and human nutrition science. Statistically, random sampling is not possible. Purposeful sampling is the best option. Accordingly, strictly statistical inferences are not possible. The best available options are theoretical generalizations from the best‐case studies. However, when researchers use experimental designs to test whether plant substances promote health and longevity and make statistical assumptions, they use statistical inferences and generalizations.https://doi.org/10.1002/fft2.148NutritionFood and healthHealthy foodFunctional foodsFood science (general)Food security |
spellingShingle | Mauri K. Åhlberg An update of Åhlberg (2021a): A profound explanation of why eating green (wild) edible plants promote health and longevity Food Frontiers Nutrition Food and health Healthy food Functional foods Food science (general) Food security |
title | An update of Åhlberg (2021a): A profound explanation of why eating green (wild) edible plants promote health and longevity |
title_full | An update of Åhlberg (2021a): A profound explanation of why eating green (wild) edible plants promote health and longevity |
title_fullStr | An update of Åhlberg (2021a): A profound explanation of why eating green (wild) edible plants promote health and longevity |
title_full_unstemmed | An update of Åhlberg (2021a): A profound explanation of why eating green (wild) edible plants promote health and longevity |
title_short | An update of Åhlberg (2021a): A profound explanation of why eating green (wild) edible plants promote health and longevity |
title_sort | update of ahlberg 2021a a profound explanation of why eating green wild edible plants promote health and longevity |
topic | Nutrition Food and health Healthy food Functional foods Food science (general) Food security |
url | https://doi.org/10.1002/fft2.148 |
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