Changes

==== Contribute to science ====

==== Contribute to science ====

Self-experimentation is still science. Variety of literature shows the validity of N-of-1 and patient-led studies.<ref>https://scholar.google.com/scholar?hl=en&q=patient-led+study</ref> 12 self-experimenters won Nobel prizes.<ref>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3298919/</ref>

Self-experimentation is still science. Variety of literature shows the validity of singe subject and patient-led studies.<ref>https://scholar.google.com/scholar?hl=en&q=patient-led+study</ref> 12 self-experimenters won Nobel prizes.<ref>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3298919/</ref>

Alternatively, you could donate your data. Even if no large formal experiment is conducted, observational studies are important.<ref>https://en.wikipedia.org/wiki/Lead%E2%80%93crime_hypothesis</ref> [https://medschool.ucsd.edu/som/medicine/divisions/gastro/research/NAFLD/research/epidemiology/Pages/default.aspx#:~:text=Epidemiologic%20studies%20are%20the%20foundation%20for%20disease%20control,for%20a%20disease%20and%20targets%20for%20preventive%20medicine. Epidemiological studies]<ref>Introduction to Epidemiological Studies - PubMed (nih.gov)</ref>, which are observational studies, become better with self-tracking tools.<ref>https://www.jmir.org/2022/6/e35804</ref><ref>https://www.researchgate.net/publication/49775085_Reducing_case_ascertainment_costs_in_US_population_studies_of_Alzheimer's_disease_dementia_and_cognitive_impairment_-_Part_2</ref> Continuous self-tracking data from multiple people qualifies as [[wikipedia:Longitudinal_study|longitudinal study]]. These are more reliable than single slice observational studies like the ones most often used by papers about diets. Unfortunately, [[wikipedia:MHealth|mobile health]] companies that aggregate data from users rarely do it with real scientific goals in mind. Instead, you should give that data to researchers through [[Open Humans]].

Alternatively, you could donate your data. Papers often encourage greater granularity in the data they use. Even if no large formal experiment is conducted, observational studies are important.<ref>https://en.wikipedia.org/wiki/Lead%E2%80%93crime_hypothesis</ref> [https://medschool.ucsd.edu/som/medicine/divisions/gastro/research/NAFLD/research/epidemiology/Pages/default.aspx#:~:text=Epidemiologic%20studies%20are%20the%20foundation%20for%20disease%20control,for%20a%20disease%20and%20targets%20for%20preventive%20medicine. Epidemiological studies]<ref>Introduction to Epidemiological Studies - PubMed (nih.gov)</ref>, which are observational studies, become better with self-tracking tools.<ref>https://www.jmir.org/2022/6/e35804</ref><ref>https://www.researchgate.net/publication/49775085_Reducing_case_ascertainment_costs_in_US_population_studies_of_Alzheimer's_disease_dementia_and_cognitive_impairment_-_Part_2</ref> Continuous self-tracking data from multiple people qualifies as [[wikipedia:Longitudinal_study|longitudinal study]]. These are more reliable than single slice observational studies like the ones most often used by papers about diets. Unfortunately, [[wikipedia:MHealth|mobile health]] companies that aggregate data from users rarely do it with real scientific goals in mind. Instead, you should give that data to researchers through [[Open Humans]].

==== Manage health conditions ====

==== Manage health conditions ====