Sign in

Elena Shekhova

@lumipie.com
3.1K followers 1.6K following 406 posts

Exploring & visualizing data on nutrition, health, and sustainability: lumipie.com Interests: biology, charts, science communication, coding, fungi, permaculture, foraging Previously: University of Copenhagen, MRC for Medical Mycology, Leibniz:HKI 📍🇩🇰

PostsRepliesMedia
Elena Shekhova @lumipie.com · 15/03/2026
🧪🍎📃 Nice article discussing ways to visualize both health and environmental impacts of various food groups. The authors propose a matrix chart showing health effects and carbon footprints for 30 food. The dataset is freely available in Supplementary Materials. www.frontiersin.org/journals/nut...
Figure 1 from doi.org/10.3389/fnut.2025.1572297: A matrix visualization displaying health effects and carbon footprints for 30 food groups. Groups are arranged in the matrix from top (favorable) to bottom (unfavorable) and from left (low carbon) to right (high carbon). Beef is split vertically in the bottom-right to show its exceptionally high carbon footprint. Cell colors utilize a traffic light scheme to correspond to intensity of environmental and health impacts.
13213
Elena Shekhova @lumipie.com · 19/02/2026
My late submission to #TidyTuesday, week 5. I couldn’t resist making this 📊, as I’m planning my first garden this year. And since I’m ambitious (or delusional?), my plan is to grow more than 20 plants! I summarized the requirements for some of them. #vegetablegarden #greenheart #gardening
Chart titled “What do my garden plants need?”. A dot-matrix comparison of growing requirements for 20 edible plants, ordered vertically from high to low overall needs. Plants listed: aubergine, Chinese cabbage, cucumber, regular tomato, runner beans, bell pepper, basil, soybean, headed lettuce, borlotti beans, beetroot, dill, cress, onion, radish, rocket, thyme, rosemary, chives, and mint.

Each row shows four colored dot groups representing requirements for sun (yellow), water (gray/blue), nutrients (green), and temperature sensitivity (red). More dots indicate higher needs.

Aubergine appears among the most demanding, with many dots across categories. Mint appears among the least demanding.

Annotations note: “Aubergine = DIVA – Prefers full sun; requires high water and nutrients. Temperature class: tender.” and “Mint = (should be) EASY – Prefers full sun, but requires low water and nutrients. Temperature class: very hardy.”

Data source: The Edible Plant Database, GROW Observatory, a European Citizen Science project. Chart was designed and created by Elena Shekhova. The tool for data analysis is R. The tool for data viz is React.js.
7323
Elena Shekhova @lumipie.com · 29/01/2026
🧪🍎📃 Nutrition discourse often focuses on protein. Fiber is important too, but rarely talked about. Here is an “oldish” paper showing a dose-dependent association between fiber intake (from cereals, fruits, and vegetables) and a lower risk of cardiovascular disease. 🔗 www.bmj.com/content/347/...
Risk of cardiovascular disease across increasing levels of total fibre intake. RR=risk ratio
175
Elena Shekhova @lumipie.com · 30/12/2025
🧪🍎📃 I stumbled across this article about alternative protein sources. Many of them I had never heard of before. It mentioned: -winged beans -grasspea -lupins -Bambara groundnut Also, duckweed species can have protein contents of up to 43% (dry matter) and provide all essential amino acids.
From paper "Alternative Protein Sources and Novel Foods: Benefits, Food Applications and Safety Issues": Figure 1. Underutilized legumes: (a) Winged beans (b) Grasspea (c) Lupins (d) Bambara groundnut.
2288
Elena Shekhova @lumipie.com · 26/12/2025
🍄📸🧪 I was cloning a wood ear mushroom that I foraged recently. One of my plates was contaminated, so I let it grow. Then I thought I should definitely photograph it against a lamp and share it here. Perfect for @contamclub.bsky.social The red/pink pigment is likely produced by Fusarium mold.
Agar plate with wood ear mushroom tissues. The red/pink pigment diffusing into the agar is likely metabolites produced by Fusarium mold.  Bacterial growth is also visible. Petri dish is photographed against a lamp.

Agar plate with wood ear mushroom tissues. The red/pink pigment diffusing into the agar is likely metabolites produced by Fusarium mold.  Bacterial growth is also visible. Petri dish is photographed against a lamp.Agar plate with wood ear mushroom tissues. The red/pink pigment diffusing into the agar is likely metabolites produced by Fusarium mold.  Bacterial growth is also visible. Petri dish is photographed against a lamp.
1427
Elena Shekhova @lumipie.com · 07/12/2025
🧪🍎📃 In this US study, people with a college degree were more likely to consider or choose plant-based burgers than those without a degree. But when the prices of plant-based options were lowered, consumers without a college degree became more inclined to buy them. www.pnas.org/doi/epdf/10....
Figure 2:
Price Effect Simulations for Meat and PBMA Burgers (Study 2). Note: Consideration and choice probabilities are shown for the meat burger and PBMAs (aggregated) given a PBMA price range between $12.50 and $5, along with 95% credible intervals. Across PBMA price scenarios, the price of the meat burger was kept constant at $10. A PBMA price of $10 thus corresponds to price parity. The gray dashed lines display the population mean (representative of the United States). Education = high: college degree or higher; No Prior PBMAs = yes: self-report to never eat PBMAs.
23712
Elena Shekhova @lumipie.com · 01/12/2025
🧪🍎📃 Very cool new study & great datasets. The authors compared the nutritional composition and density of plant-based meat alternatives vs. meat. They write: plant-based meat is equally nutrient-dense as animal meat and legumes. Heatmap with more details ⤵️ www.sciencedirect.com/science/arti...
Figure 1 from the publication: Heatmap showing the weighted average nutrient levels per protein source (plant-based meat or animal meat) against the nutrition claim criteria to assess the contribution of the different products to the daily requirement. Data on levels of micronutrients from fortification were excluded. The different shades of green represent to what extend the nutrient levels meet nutrient claim criteria (appendix 2). For the minerals and vitamins these are related to a percentage of the NRV (for iron, zinc and vitamin D the lowest NRV was chosen). Grey colors represent the nutrient levels which do not meet any claim/limit criteria or are lower than one-third of the claim criteria. Shades of blue are given to nutrients to limit and represent whether the level is low or too high and exceeds the criteria for nutrients to limit or the level is somewhere in between those two values (appendix 2).
0184
Elena Shekhova @lumipie.com · 25/10/2025
🧪🍎📃 Vitamin B12 is a rather unique vitamin. Only certain bacteria and archaea can make it, not plants or animals. Animals require B12 and can obtain and store it, which is why meat and fish are well-known sources for humans. But what about non-animal foods? Can they provide any B12 at all?🧵⤵️
710531
Elena Shekhova @lumipie.com · 15/10/2025
🍄📸 Having a fun(gi) time here in Denmark! 🍄📸 Spotted some interesting fellas in a local forest 😍 #mycology #mushrooms #fungifriends #nature
A cluster of small mushrooms growing on decaying wood in a damp forest, featuring one delicate grayish mushroom with a finely pleated cap standing out in the foreground among paler, dome-shaped fungi. Likely trooping crumble capSmall, bright orange-red mushrooms growing amongst dense green grass and moss. Likely Hygrocybe or "waxcap" speciesSeveral pinkish-brown, ear-shaped fungi growing along a fallen tree trunk. Wood ear fungusSmall, blue-green mushrooms with glossy, rounded caps growing among damp grass, twigs, and fallen leaves on the forest floor. Possibly Verdigris Agaric
1322
Elena Shekhova @lumipie.com · 30/09/2025
🧪🍎📃 It only took me 500 years to finish this 📊, but here it is 🎉 Grocery shops in many wealthy countries are oversupplied with animal-based foods. They stock far more meat and dairy than we need for human and planetary health. 🔗 www.lumipie.com/data-vis/pla...
Data visualization comparing national food supplies in high-income countries (based on GDP per capita) with planetary health intake targets. Radial charts for 12 countries (including Ireland, Denmark, Switzerland, Luxembourg, United States, Australia, Norway, Qatar, Kuwait, Emirates, Taiwan, and Saudi Arabia) show that supplies of animal-based foods, especially meat and dairy, consistently exceed recommended levels of intake. Bars below each chart compare grams of plant-based, animal-based, and fats & oils in total daily supply per person. Data is from FAOSTAT (2022)
56314
Elena Shekhova @lumipie.com · 29/09/2025
🧪🍎📃 In South Africa, when people move to cities, their diets become similar to a “Western” one, with more energy-dense foods, animal protein, and fat. This shift changes the diversity of gut microbes, increasing bacteria previously linked to higher colorectal cancer risk. doi.org/10.1038/s414...
Figure 1a from the study (https://doi.org/10.1038/s41467-024-46265-0): Analysis of fecal microbiota by 16 S rRNA gene sequencing from healthy rural and urban Xhosa individuals showing A bacterial community richness or Shannon Effective as indices for α-diversity,
1146
Elena Shekhova @lumipie.com · 20/09/2025
🧪🍎📃 Important new study: Animal products, especially beef, pose much higher extinction risks for wildlife than grains, legumes, or vegetables. This means shifting land use toward more plant-based diets can give greater opportunities to restore biodiversity and help save species from extinction.
Figure 4 from https://www.nature.com/articles/s43016-025-01224-w: The extinction impacts of average daily per capita food consumption in the United States for consumption in 2021, the EAT–Lancet planetary health diet and hypothetical vegetarian and vegan diets.  Baseline intake values are taken from FAO data27. The intake of spices, coffee, cocoa, tea and maté remains constant across diets. The EAT–Lancet diet is the ‘Planetary Health Diet’, designed to be consistent with health requirements and planetary boundaries51. The vegetarian and vegan diets are based on ‘Eatwell’ plates, with constituent commodities consumed in the same ratios that they currently are within each group53,54,55,56. Each reference diet is scaled to have the same number of calories as the baseline, which in theory accounts for food waste and overconsumption, probably overestimating their impacts.
34514
Elena Shekhova @lumipie.com · 18/09/2025
🧪🍎📃 Even with a genetic predisposition, not everyone will develop dementia. Various factors play a role. This study suggests that people who are APOE4 homozygotes, the group at highest genetic risk, may benefit the most from following a Mediterranean diet. doi.org/10.1038/s41591-025-03891-5
Figure 3b from the publication "Interplay of genetic predisposition, plasma metabolome and Mediterranean diet in dementia risk and cognitive function": The protective association between adherence to the MedDiet and risk of dementia most pronounced among APOE4 homozygotes. Stratified HR and 95% CIs for dementia risk per a 1-unit increment in the MedDiet index score, categorized by the APOE4 genotype, were estimated from Cox PH models, with stratified P values annotated (unadjusted for multiple comparisons in the hypothesis-driven analysis). The analyses were conducted among NHS participants with genetic, dietary and dementia outcome data (n = 16,497).
1122
Elena Shekhova @lumipie.com · 02/09/2025
New #dataviz art in my home office! Furry colleagues seem pleased. Or maybe not? 😀 #map #DogsOfBluesky #corgi #art
Canvas poster titled Dogs of All Nations MapTwo dogs resting together on a mat: a tricolored Cardigan Welsh Corgi and a black mixed-breed, likely a Border Collie–Labrador mix.
0150
Elena Shekhova @lumipie.com · 29/08/2025
🧪 Satiety differs between girls and boys ⤵️
081
Elena Shekhova @lumipie.com · 21/08/2025
🧪 Amazing study describing a workflow that will help us better understand the lipid biology of mammalian cells. Check out this very informative 🧵⤵️
1114
Elena Shekhova @lumipie.com · 10/08/2025
🧪🍎📃 Plant vs. animal protein for muscle health: ✔️ Slightly lower muscle mass with non-soy plant protein compared to milk protein, but not with soy ✔️ No difference in muscular strength or physical performance No wonder there are elite athletes who are vegan. 🔗doi: 10.1093/nutrit/nuae200
Meta-analysis of Change in Absolute Muscle Mass in Response to Plant vs Animal Protein Intervention, Overall and in Younger (<60 y) and Older (≥60 y) Adults. Forest plot from the publication "Effect of Plant Versus Animal Protein on Muscle Mass, Strength, Physical Performance, and Sarcopenia: A Systematic Review and Meta-analysis of Randomized Controlled Trials"
2316
Elena Shekhova @lumipie.com · 06/08/2025
🧪🍎📃  Short-chain fatty acids are not the only metabolites produced by gut microbes fermenting dietary fiber. Other bioactive molecules such as amino acids and B vitamins can be produced too. Understanding their effects may help explain why people respond differently to fiber. PMID: 38991905
Key figure. Overview of non-short-chain fatty acid (SCFA) microbial metabolites altered upon dietary fiber supplementation. As a result of dietary fiber supplementation, microbially produced metabolites such as neurotransmitters , secondary bile acids (2°BAs) , aromatic amino acids , and B vitamins may be altered, with diverse impacts on host health. The panels depict simplified representations of their interactions with various host cells in the colon, liver, and central nervous system.
1244
Elena Shekhova @lumipie.com · 04/08/2025
🧪🍎📃 My recent work: I transformed a table from a publication into an interactive chart on the web. This 📊 illustrates the Planetary Health Diet designed by the EAT-Lancet Commission (PMID: 30660336). 🔗chart: lumipie.com/data-vis/pla...
2143
Elena Shekhova @lumipie.com · 30/07/2025
🧪🍎📃 Would making healthy foods a bit cheaper and placing them in better spots in supermarkets help people buy fewer ultra-processed foods? This study showed that it didn’t. Perhaps limiting the promotion of ultra-processed foods is a better strategy? doi.org/10.1016/j.appet.2024.107599
Title page of the publication "The effects of nudging and pricing strategies on the availability and purchases of ultra-processed foods: A secondary analysis of the Supreme Nudge trial"
470
Elena Shekhova @lumipie.com · 27/07/2025
🧪🍎📃 From a recent meta-analysis: Plant-based diets do not compromise muscular strength. So no disadvantage vs omnivores. 🔗 doi.org/10.1186/s40798-025-00852-7 Based on 7 randomized controlled trials:
The figure from the publication entitled "Are Plant-Based Diets Detrimental to Muscular Strength? A Systematic Review and Meta-Analysis of Randomized Controlled Trials". Random effects model meta-analysis for changes in muscular strength comparing plant-based diet interventions and omnivorous diets. g, Hedges’g; CI, confidence interval; I2, inconsistency index
051
Elena Shekhova @lumipie.com · 26/07/2025
🍎📃 #medsky
010
Elena Shekhova @lumipie.com · 12/07/2025
🧪🍎📃 I’ve been learning React.js lately and made this 📊. It shows the protein & fiber content of processed foods commonly found in grocery stores. These nutrients are great for promoting satiety and may help reduce the risk of overeating (PMID: 35592279). Chart 🔗: www.lumipie.com/data-vis/fib...
Scatter plot titled "Fiber and Protein Content in Processed Foods, per 100 calories (100 grams)." The x-axis shows fiber content in grams per 100 calories (with an option to switch to per 100 grams), ranging from 0 to 25. Two toggle buttons at the top allow switching between viewing fiber and protein content. The current view is set to "Fiber." Each dot represents a processed food item, with dot size indicating sugar content and color intensity representing salt content (ranging from 0 to 19 grams). Most foods cluster near 0–5 grams of fiber, with a few outliers like canned asparagus, artichoke hearts, and bamboo shoots reaching 15–20+ grams. Labeled foods include scone, muffin, pizza, tomato puree, and yeast spread. Users are instructed to hover over dots for more info (desktop only). The table and a search function is added too and recommended for exploration on mobile (not shown on the current screen shot). Scatter plot titled "Fiber and Protein Content in Processed Foods, per 100 calories (100 grams)." The x-axis shows protein content in grams per 100 calories (with an option to switch to per 100 grams), ranging from 0 to 25. The view is set to "Protein" (highlighted in yellow). Each dot represents a processed food item, with dot size indicating sugar content and color intensity representing salt content (0–19 grams). Most foods cluster below 5 grams of protein per 100 calories, with notable outliers like tofu, canned tuna, and canned asparagus containing 10–20+ grams of protein. Foods like carrot cake, juice apple, and coconut cream appear low in protein. Users are prompted to hover over dots for more info (desktop only). The table and a search function is added too and recommended for exploration on mobile (not shown on the current screen shot).
3262
Reposted by Elena Shekhova
Breastfeeding @breastfeeding.bsky.social · 04/07/2025
In 1975, a fellow Cornell grad student gave a presentation of Burkitt's work at a brown bag lunch seminar. The faculty poo pooped it while munching on their balcony on white bread. I stopped eating white flour and never went back.
211
Elena Shekhova @lumipie.com · 03/07/2025
Clickbait at its finest! Not only are such headlines false and anxiety-inducing, but they also contribute to the destruction of the remaining trust people have in science 🧪🍎📃
1133
Elena Shekhova @lumipie.com · 29/06/2025
Nice graphics showing how apolipoprotein M helps manage cholesterol in the eye and supports the retinal pigment epithelium 👇
010
Elena Shekhova @lumipie.com · 17/06/2025
🧪🍎📃 💦Hydration might be a simple yet effective way to minimize the negative effects of sugar or salt. They can raise serum osmolality and trigger acute stress responses, e.g., a transient increase in blood pressure. Co-ingestion with water blunts this.
doi.org
A study on the early metabolic effects of salt and fructose consumption: the protective role of water - Hypertension Research
Hypertension Research - A study on the early metabolic effects of salt and fructose consumption: the protective role of water
072
Elena Shekhova @lumipie.com · 16/06/2025
Then, according to this doctor's logic, why do whales have menopause? 🧪
A figure from PMID: 36588114 with the following description: Post-reproductive lifespan across species. The human female is one of a few selected species of mammals with a significant post-reproductive lifespan. The significance of menopause is extensively being debated on whether it is a vestigial evolutionary inheritance or has crucial implication in conferring evolutionary survival of the fittest to our early days’ ancestors as been reproduced from Ellis et al.
0205
Elena Shekhova @lumipie.com · 15/06/2025
🧪🍎📃 Does eating ultra-processed foods CAUSES obesity? The authors of this paper used a statistical tool called 'E value' to show that the link between eating lots of processed foods and gaining weight could be explained by other factors, such as food insecurity. doi.org/10.1038/s41366-024-01566-8
3172
Elena Shekhova @lumipie.com · 12/06/2025
🧪🍎📃 How to make your child eat healthier? Tell them a fairytale about healthy food. Doing so just once can influence their food choices for the next two weeks. I think it's cute 🙂 www.sciencedirect.com/science/artic…
Fig. 1. Schematic representation of the experimental procedures. As the experimental manipulation, two interactive stories were used in both studies, one about how two protagonists of similar age as the participants (aged between 4 and 6 years old) saved their hometown from being drained of color with the help of magic fruits or vegetables, while the second control story consisted of a similar plot that did not mention food.
1143
Elena Shekhova @lumipie.com · 10/06/2025
🧪🍎📃 Time to eat! ⏰ Regularity is 🗝️ This pilot study demonstrated that eating regularly may help with losing excess body weight and improving overall well-being. This effect was independent of changes in calorie intake or food composition.
doi.org
Time to Eat - A Personalized Circadian Eating Schedule Leads to Weight Loss Without Imposing Calorie Restriction: A Randomized Controlled Pilot Study
Objective Many weight loss strategies are based on the restriction of calories or certain foods. In this pilot study, we preliminary tested a weight loss intervention based solely on increasing the regularity of meals. The assumption is based on the evidence that eating at fixed times allows the circadian system to optimally prepare the food metabolism for these times. Participants & Methods In a two-group, single center randomized-controlled single-blind pilot study (pre-registration DRKS00021419) with participants aged 18-65 years and BMI ≥ 22 kg/m2, we used a smartphone application to identify the times at which each participant eats particularly frequently and asked participants of the experimental group to restrict their meals to only these times for six weeks. Control participants received sham treatment. Primary outcome was body weight/BMI and secondary outcome the well-being of participants. Results Of 148 participants taking part in the pilot study, 121 were randomized, of whom 100 (control: 33, experimental: 67) completed the study. Our results show that the more regular the meals of participants of the experimental group became, the more weight/BMI they lost, averaging 2.62 kg (0.87 kg/m2); p < 0.0001 (BMI: p < 0.0001) compared to an insignificant weight loss of 0.56 kg (0.20 kg/m2) in the control group; p = 0.0918 (BMI: p = 0.0658). Strikingly, weight loss was not related to self-reported changes in calories, food composition, and other food-related factors. Additionally, physical and mental well-being improved significantly. Conclusion In summary, increasing the regularity of meals may cause participants to lose excess body weight and improve overall well-being. These promising results justify a larger-scale study, albeit with a more rigorous study design. Highlights ### Competing Interest Statement The authors have declared no competing interest. ### Clinical Trial DRKS00021419 ### Funding Statement This work was supported by an Emmy Noether fellowship: LA4126/1-1 of the Deutsche Forschungsgemeinschaft to DL. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: Ethics Committee of Ludwig Maximilian University gave ethical approval for this work. I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes All data produced in the present study are available upon reasonable request to the authors. The codes used to calculate MTVS, individual optimal number of meals, and personalized optimal eating times will be available at <https://github.com/dolandgraf/Time-To-Eat.git> as of the date of publication of this paper. * CG : Control group EG : Experimental group IDS-SR : Self-Assessment Inventory of Depressive Symptoms MCTQ : Munich Chronotype Questionnaire MTVS : Meal time variability score PSQI : Pittsburgh Sleep Quality Index SF-36 : 36-Item Short Form Health Survey SWE : Scale of General Expectations of Self-Efficacy TRE/TRF : time-restricted eating/feeding
151
Elena Shekhova @lumipie.com · 08/06/2025
🧪🍎📃 Another randomized controlled trial shows no difference in muscle protein synthesis rates 💪 between vegans and meat-eaters.  journals.lww.com/acsm-msse/abstract…
Title page of the paper "Impact of Vegan Diets on Resistance Exercise-Mediated Myofibrillar Protein Synthesis in Healthy Young Males and Females: A Randomized Controlled Trial" DOI: 10.1249/MSS.0000000000003725
2438
Elena Shekhova @lumipie.com · 06/06/2025
🧪🍎📃 The weighted vest (WV) + structured weight loss (WL) program was more effective in preserving lost kg 24 months later, compared to the WL program alone. This is likely linked to the abolished reduction in resting metabolic rate when the vest was used. doi.org/10.1038/s41366-025-01795-5
Fig. 1 from the paper:  a Change in weight (kg) at three timepoints: baseline, 6, and 24 months, where open circles with the dashed line represent the WL+VEST group and closed circles with the solid line represent the WL only group. b Change in resting metabolic rate (kcal/d) at three timepoints: baseline, 6, and 24 months, where open circles with the dashed line represent the WL+VEST group and closed circles with the solid line represent the WL only group.
040
Elena Shekhova @lumipie.com · 04/06/2025
🧪Remembering pioneers in nutrition science. Mervyn Hardinge, back in 1958, looked at fiber content of various diets and linked it to blood cholesterol levels: Fiber ⬆️Cholesterol ⬇️ Only 14 years later, fiber became a topic of interest in nutrition research. 🔗 ajcn.nutrition.org/article/S000...
ajcn.nutrition.org
Recognition
In the fall of 1948, Mervyn G Hardinge, MD, enrolled in the Master of Public Health program in nutrition at the Harvard University School of Public Health. A paper authored by Mark Hegsted and Fredric...
080
Elena Shekhova @lumipie.com · 19/05/2025
🧪🍎📃 If you just give out free produce (🥕🍏), people don’t eat more. Instead, they waste more. However, pairing free produce with coaching on how to incorporate vegetables and fruits into daily meals while avoiding waste is more successful: ⬆️intake, ⬇️waste. doi.org/10.1101/2025...
doi.org
Changes to Fruit and Vegetable Intake and Waste When Households Receive Free Produce
Objective The study evaluated changes in household food intake, the waste of fruits and vegetables (FV), and FV inventories after supplemental produce was provided free of charge and in response to a ...
1123
Elena Shekhova @lumipie.com · 14/05/2025
🧪 This study challenges the idea that full deep sleep and REM are required for memory consolidation. 28 young adults had either: 🌕Normal sleep 🌓Sleep with half of their deep sleep disrupted 🌗Sleep with half of their REM disrupted 🌅 all performed similarly on memory tests and reaction-time tasks.
Title page of the article "Neither fifty percent slow-wave sleep suppression nor fifty percent rapid eye movement sleep suppression does impair memory consolidation". Can be found at https://www.sciencedirect.com/science/article/abs/pii/S1389945724004520?via%3Dihub
3182
Elena Shekhova @lumipie.com · 10/05/2025
🧪🍎📃 Attracted to sweet food? 🍬 Blame the sweet taste receptor in your mouth! It recognizes sugars and artificial sweeteners, triggering the reactions behind our love for sweets. And its structure was just revealed: www.cell.com/cell/fulltex... Bonus: a nice graphical abstract!
cell.com
The structure of human sweetness
A single taste receptor initiates our reactions to both sugars and artificial sweeteners, triggering a signaling process that drives our intense attraction to sweet foods. Single-particle cryo-EM reve...
2365
Elena Shekhova @lumipie.com · 08/05/2025
🧪🍎📃 Simple but informative graph showing nutrient bioavailability from plant foods. It conveys that processing isn’t all bad: ✔️While some nutrients are lost, others can become more usable 🔗 ift.onlinelibrary.wiley.com/doi/10.1111/...
Graph showing an example where the total nutrient content in food decreases over time, but the bioavailable amount increases as food matrix effects are reduced.
0100
Elena Shekhova @lumipie.com · 02/05/2025
Interesting article find 🧪 🐸 Amphibians in their larval stage (tadpoles) switch to a vegetarian diet when it’s hot. Unlike adult frogs, which stick to a carnivorous diet, tadpoles switch to plant-based food in the heat. Carbohydrate-rich plants better support their metabolism under stress.
A front page of the paper with the title Frog and toad larvae become vegetarian when it is hot. Link: https://www.tandfonline.com/doi/epdf/10.1080/23328940.2017.1288687?needAccess=true
0322
Elena Shekhova @lumipie.com · 29/04/2025
🧪🍎📊 #30DayChartChallenge | Day 19: Smooth Nothing smoother than a streamgraph! This one shows 28 years of global eating habits. We eat more of everything now. I made falafel yesterday and wondered: why are beans & legumes still so underrated? Interactive 📊: www.lumipie.com/data-vis/str...
A streamgraph visualizing global trends in daily food consumption (1990–2018) across seven food groups: grains, fruits and vegetables, nuts and seeds, legumes, eggs, meat, seafood, and dairy. Flowing, layered bands represent changes in average daily intake (grams per day).The interactive version of the graph is available at https://www.lumipie.com/data-vis/streamgraph/, with tooltips revealing exact values for each food group at key years. Created with D3.js by Elena Shekhova
294
Elena Shekhova @lumipie.com · 20/04/2025
🧪🍎📃 Another late submission for #30DayChartChallenge | Day 11: Stripes I wanted to visualize how GDP is linked to plant-based food intake, and I think a stripe chart offered some nice visual clarity. Source: Global Dietary Database Interactive version of the chart: www.lumipie.com/data-vis/str...
Stripe chart showing the proportion of plant-based foods in the average diet of each country, sorted by GDP (from the lowest to the highest). Each stripe represents one country. The chart reveals a trend: countries with higher GDP tend to have lower proportions of plant-based foods in their diets. Plant-based foods include fruits, vegetables, legumes, nuts, seeds, and grains. Based on 2018 data from the Global Dietary Database. Chart by Elena Shekhova.
6497
Elena Shekhova @lumipie.com · 10/04/2025
🧪🍎📃 #dataviz My belated submission for #30DayChartChallenge | Day 8: Histogram The chart shows that people in many countries fall short of the recommended daily fiber intake. Made with D3, with a bit of interactivity.
Chart showing the distribution of average daily fiber consumption across various countries. Many countries fall below the recommended intake of 25 grams of fiber per person per day. The interactive version allows users to explore the data by continent. Chart created by Elena Shekhova using 2018 data from the Global Dietary Database.
1121
Elena Shekhova @lumipie.com · 08/04/2025
🧪🍎📃 #dataviz #RStats #30DayChartChallenge | Day 7: Outliers Processed meat consumption is higher in high-income countries compared to lower-income countries — with a few outliers. Source: Global Dietary Database R code: github.com/ElenaShekhov...
Boxplot showing processed meat intake across different income groups. The chart displays four boxplots representing High-income, Upper-middle-income, Lower-middle-income, and Low-income countries. The y-axis shows processed meat intake in grams per day. The boxplots reveal that high-income countries generally have higher meat consumption. Outliers are labeled with country names. The chart is created by Elena Shekhova. Data source is Global Dietary Database and World Bank.
0352
Elena Shekhova @lumipie.com · 04/04/2025
🧪🍎📃 #dataviz #RStats #30DayChartChallenge | Day 4: Big or small Time for the bubble grid chart! Are the differences between milk and plant-based alternatives big or small? Soy looks the most similar 💪👑 Source: PMID: 37717060 R code: github.com/ElenaShekhov...
A bubble grid chart comparing nutrient content across different milk types. Rows show nutrients (Protein, Fat, Carbs, etc.), columns show milk types (Rice, Soya, Coconut, etc.). Bubble sizes scale proportionally to nutrient values, with zero values not displayed. Based on the nutrient profile, soy milk appears to be the most similar to animal milk among the plant-based alternatives. Data source is a scientific publication titled "How animal milk and plant-based alternatives diverge in terms of fatty acid, amino acid, and mineral composition". The chart created by Elena Shekhova
4313
Elena Shekhova @lumipie.com · 02/04/2025
🧪🍎📃 #dataviz #RStats #30DayChartChallenge | Day 2: Slope As countries get wealthier, eating habits shift! 🔺 More: Fat, protein 🔻 Less: Carbohydrate Source: Our World in Data R code: github.com/ElenaShekhov...
A scatter plot showing the relationship between GDP and macronutrient consumption, with three trend lines fitted using linear regression. The graph indicates that as GDP increases, protein and fat consumption rise, while carbohydrate intake declines. A correlation coefficient is displayed on the left. Data is from 2016, fetched from Our World in Data website. The chart is created by Elena Shekhova
1626
Elena Shekhova @lumipie.com · 01/04/2025
🧪🍎📃 #dataviz #30DayChartChallenge | Day 1: Fractions Vegetarian diets are often claimed to be more expensive than diets with meat. Yet, lower-income Americans are about twice as likely to be vegetarians as higher-income groups. 📃: news.gallup.com/poll/510038/...
A chart showing that lower-income Americans (7%) are about twice as likely as middle-income (4%) and upper-income (3%) Americans to be vegetarians. Data were collected by Gallup in 2023. The chart was created by Elena Shekhova
4484
Elena Shekhova @lumipie.com · 31/03/2025
#30DayChartChallenge starts tomorrow! 🥳🥳🥳 A great chance for me to focus on learning R and D3, share insights on food & health data, and learn from my #dataviz fellows! Not sure how many charts I’ll make, but I’ll do my best.
090
Elena Shekhova @lumipie.com · 26/02/2025
🧪🍎📃 This study showed that adherence to the Mediterranean diet was associated with greater academic performance in children. But is it the diet itself? Or the probability that adherence to the Mediterranean diet = more wealth = more opportunities to excel?
shorturl.at
ShortURL - URL Shortener
ShortURL is a tool to shorten a long link and create a short URL easy to share on sites, chat and emails. Track short URL traffic and manage your links.
3151
Elena Shekhova @lumipie.com · 25/02/2025
🧪 TIL Lifelong vegetarian Mervyn Hardinge was a pioneering scientist studying vegetarian diets. His dietary habits didn't stop him from working months in a hospital kitchen learning the different cuts of meat. This was required to understand diets of nonvegetarians. shorturl.at/NsBwX
A photo and a short biography of Dr. Mervyn G. Hardinge from https://adventistbookcenter.com/authors/dr-mervyn-g-hardinge
160
Elena Shekhova @lumipie.com · 23/02/2025
🧪#SciComm Muscle loss is associated with various health issues and accelerated during aging. The good news is that resistance training can offset muscle loss. Simple tools like resistance bands make this type of exercise accessible. 🔗 physoc.onlinelibrary.wiley.com/doi/…
Experimental Physiology, Volume: 109, Issue: 10, Pages: 1650-1662, First published: 06 August 2024, DOI: (10.1113/EP091937) 
Schematic representation of exercise training modalities following a period of muscle disuse to recover skeletal muscle mass, strength and function (e.g., gait speed) in older individuals (Bamman et al., 1998; Schroeder et al., 2019; Villareal et al., 2017; Willis et al., 2012). Created with BioRender.com.
3203