Ugbu a na asụsụ 108

Skena nke ọma, biara nke ọma.

Tụnyere igwefoto gị na nri ọ bụla. SkinnyScan na-enye gị kalori ozugbo, macros na akara ahụike A–E nke nwere nkwado sayensị — mgbe ahụ, na-enyere gị aka iru ebumnuche gị nwayọọ nwayọọ.

Nweta SkinnyScan Lee sayensị
E wuru na nyocha nri nke ndị otu nyochara. Data gị nọ na ngwaọrụ gị.
GOOD MORNING
SkinnyScan
🍎 Apple A
🥦 Broccoli A

Ihe nchọpụta na-ahụ

Nyocha onwe bụ otu n'ime ihe kachasị ike na-atụ anya ịga nke ọma na ọnwụ ibu.

2×
ibu karịrị nke ndị na-edekọ nri na ndị na-adịghị edekọ.
Burke et al., 2011
86%
n'ime ndị na-edekọ kwa ụbọchị na-akọwapụta mgbanwe dị mkpa na omume nri ha n'ime ọnwa.
Harvey et al., 2019
66 days
oge median iji mepụta omume kwa ụbọchị ọhụrụ, na ọnọdụ ụwa.
Lally et al., 2010
Njirimara

E wuru maka nri kwa ụbọchị

Njirimara isii nke na-enyere ụbọchị ọma ka ha bụrụ omume ọma.

AI

AI Food Scanner

Were foto nke nri ọ bụla ma nweta nri ozugbo. Enweghịzi ịma servings ma ọ bụ ịchọ menus.

Nutri-Score

A–E Health Score

Nri ọ bụla na-enweta akara letter doro anya dabere na ụkpụrụ ndị ahụ dị ka Nutri-Score Europe — n'anya, ị maara ihe na-enye nri na ihe na-adịghị.

Mifflin–St Jeor

Ebumnuche kalori nkeonwe

Ebumnuche kwa ụbọchị na-atụgharị site na Mifflin-St Jeor BMR equation, omume gị, ebumnuche gị, na ọsọ gị họọrọ.

Evidence-based

Balanced macros

Protein, carbs na fat targets a na-atụgharị iji mee ka ị nwee afọ ju — protein maka afọ ju, carbs maka mmanụ, fat maka hormones.

Habit science

Streaks & achievements

Iwu na-ewu na-akwado site na nyocha gamification: streaks kwa ụbọchị, badges, na ntinye nwayọọ nke na-eme ka mgbanwe dị ezigbo.

Inclusive

Asụsụ 108

Site na English ruo Swahili ruo Hawaiian. Nkwado zuru ezu maka Arabic, Hebrew, Persian, Urdu na ndị ọzọ.

Olee otú ọ na-arụ ọrụ

Taps atọ maka ụbọchị ka mma

01

Skena

Mepee SkinnyScan ma tụnyere igwefoto gị na nri ọ bụla, snack, ma ọ bụ nri a na-akwadebe.

02

Ghọta

Nweta kalori, macros, fiber, sugar na nnu — tinyere akara A–E doro anya na sayensị dị n'azụ ya.

03

Ruo

Lelee ka okirikiri gị kwa ụbọchị na-emechi. Streaks, usoro ibu na nghọta na-enyere gị ka ị na-aga n'ihu na ebumnuche gị.

Sayensị

Njirimara niile nwere nkwado site na nyocha ndị otu nyochara

Anyị anaghị emepụta. Anyị na-atụgharị afọ iri nke sayensị nri n'ime ngwa nwayọọ — na anyị na-ezo aka na isi mmalite anyị.

Tracking

Ndị na-edekọ nri ha na-efunahụ ibu ihe dị ka ugboro abụọ.

Self-monitoring in weight loss: A systematic review of the literature
Burke LE, Wang J, Sevick MA · Journal of the American Dietetic Association · 2011 · 111(1):92–102
DOI: 10.1016/j.jada.2010.10.008
Frequency

Ka ị na-edekọkarị, ka ị na-efunahụkarị.

Log Often, Lose More: Electronic Dietary Self-Monitoring for Weight Loss
Harvey J, Krukowski R, Priest J, West D · Obesity · 2019 · 27(3):380–384
DOI: 10.1002/oby.22382
Health Score

Akara akwụkwọ n'elu akpa na-enyere ndị mmadụ aka ime nhọrọ ahụike ka mma n'ofe mba na omenala.

Objective understanding of front-of-package nutrition labels: An international comparative experimental study across 12 countries
Egnell M, Talati Z, Hercberg S, Pettigrew S, Julia C · Nutrients · 2018 · 10(10):1542
DOI: 10.3390/nu10101542
Macros

Diets nwere protein dị elu na-eme ka afọ ju ma na-echekwa anụ ahụ dị mma n'oge ọnwụ ibu.

The role of protein in weight loss and maintenance
Leidy HJ, Clifton PM, Astrup A, et al. · The American Journal of Clinical Nutrition · 2015 · 101(6):1320S–1329S
DOI: 10.3945/ajcn.114.084038
Pace

Nchekwa, nwayọọ na-adịghị agbanwe agbanwe na-echebe arụmọrụ na anụ ahụ dị mma karịa diets crash na-agbasa.

Effect of two different weight-loss rates on body composition and strength and power-related performance in elite athletes
Garthe I, Raastad T, Refsnes PE, Koivisto A, Sundgot-Borgen J · International Journal of Sport Nutrition and Exercise Metabolism · 2011 · 21(2):97–104
DOI: 10.1123/ijsnem.21.2.97
Hydration

I drinking mmiri tupu nri na-eme ka ọnwụ ibu na-adịkarị nwayọọ ma na-adịgide adịgide.

Water consumption increases weight loss during a hypocaloric diet intervention in middle-aged and older adults
Dennis EA, Dengo AL, Comber DL, et al. · Obesity · 2010 · 18(2):300–307
DOI: 10.1038/oby.2009.235
Habits

Omume na-ewekarị oge median nke 66 ụbọchị nke ịmegharị ka ha bụrụ akpachapụ anya — ndidi dị mkpa.

How are habits formed: Modelling habit formation in the real world
Lally P, van Jaarsveld CHM, Potts HWW, Wardle J · European Journal of Social Psychology · 2010 · 40(6):998–1009
DOI: 10.1002/ejsp.674
Streaks

Gamification nke ọma (streaks, badges, mmepe) na-eme ka nsonaazụ omume ahụike ka mma.

Gamification for health and wellbeing: A systematic review of the literature
Johnson D, Deterding S, Kuhn KA, Staneva A, Stoyanov S, Hides L · Internet Interventions · 2016 · 6:89–106
DOI: 10.1016/j.invent.2016.10.002
Adherence

Ngwa ngwa na-edekọ smartphones na-eme ka njikọ dị elu karịa akwụkwọ ndekọ — na njikọ bụ ihe na-eme ka ihe na-agbanwe.

Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial
Carter MC, Burley VJ, Nykjaer C, Cade JE · Journal of Medical Internet Research · 2013 · 15(4):e32
DOI: 10.2196/jmir.2283
Mindful eating

Iri na nlekọta — nwayọọ, na-enweghị ihe na-ewepụ uche — na-eme ka ọnụ ọgụgụ niile belata nke ọma.

Eating attentively: A systematic review and meta-analysis of the effect of food intake memory and awareness on eating
Robinson E, Aveyard P, Daley A, et al. · The American Journal of Clinical Nutrition · 2013 · 97(4):728–742
DOI: 10.3945/ajcn.112.045245
Portion accuracy

Nyocha nke ọnụ ọgụgụ nri bụ isi iyi nke kalori na-ezighị ezi — ngwaọrụ akpaaka na-ebelata njehie nke ukwuu.

Image-based dietary assessment ability of dietetics students and interns
Ho DKN, Tan LJ, Bandral M, Chan YM, Skouteris H · Nutrients · 2020 · 12(4):1224
DOI: 10.3390/nu12041224
Goals

Iwu na-ezubere iche na onye bụ isi ihe dị mkpa nke interventions mgbanwe omume dị irè.

A taxonomy of behavior change techniques used in interventions
Michie S, Ashford S, Sniehotta FF, Dombrowski SU, Bishop A, French DP · Health Psychology · 2011 · 30(6):690–701
DOI: 10.1037/a0023440
Asụsụ 108

Otu ụzọ dị nwayọọ iji rie — na asụsụ niile

SkinnyScan na-abịa na ntụgharị zuru ezu na nhazi site n'aka ekpe ruo n'aka nri maka asụsụ karịa otu narị, site na asụsụ a na-asụkarị ruo na ndị a na-ejighị n'aka. Ịgụnye abụghị njirimara — ọ bụ ala.

🇬🇧 English 🇪🇸 Español 🇨🇳 简体中文 🇹🇼 繁體中文 🇮🇳 हिन्दी 🇸🇦 العربية 🇵🇹 Português 🇧🇩 বাংলা 🇷🇺 Русский 🇯🇵 日本語 🇩🇪 Deutsch 🇫🇷 Français 🇵🇰 اردو 🇮🇩 Bahasa Indonesia 🇮🇹 Italiano 🇰🇷 한국어 🇹🇷 Türkçe 🇻🇳 Tiếng Việt 🇵🇱 Polski 🇺🇦 Українська 🇳🇱 Nederlands 🇹🇭 ไทย 🇮🇷 فارسی 🇷🇴 Română 🇬🇷 Ελληνικά 🇨🇿 Čeština 🇸🇪 Svenska 🇭🇺 Magyar 🇮🇱 עברית 🇩🇰 Dansk 🇫🇮 Suomi 🇳🇴 Norsk 🇸🇰 Slovenčina 🇧🇬 Български 🇭🇷 Hrvatski 🇷🇸 Српски 🇱🇹 Lietuvių 🇸🇮 Slovenščina 🇱🇻 Latviešu 🇪🇪 Eesti 🇲🇾 Bahasa Melayu 🇵🇭 Filipino 🇰🇪 Kiswahili 🇮🇳 தமிழ் 🇮🇳 తెలుగు 🇮🇳 मराठी 🇮🇳 ગુજરાતી 🇮🇳 ಕನ್ನಡ 🇮🇳 മലയാളം 🇮🇳 ਪੰਜਾਬੀ 🇮🇳 ଓଡ଼ିଆ 🇮🇳 অসমীয়া 🇳🇵 नेपाली 🇱🇰 සිංහල 🇲🇲 မြန်မာ 🇰🇭 ខ្មែរ
Nkwado zuru ezu maka Arabic, Hebrew, Persian, Urdu, Pashto, Sindhi, Yiddish na Dhivehi.
Nzuzo site na imewe

Dịka akwụkwọ gị dị na ngwaọrụ gị

Anyị enweghị ike ịhụ ihe ị na-eri. Ndekọ gị, akụkọ ibu na ebumnuche gị na-echekwa na mpaghara — enweghị akaụntụ, enweghị sync igwe ojii, enweghị nlekota. SkinnyScan na-arụ ọrụ n'ozuzu offline.

Ajụjụ a na-ajụkarị

Ajụjụ a na-ajụkarị

Ee — njirimara niile dị na ibe a gụnyere, na-enweghị ịkwụ ụgwọ, enweghị mgbasa ozi na enweghị nlekota. Anyị nwere ike itinye njirimara akwụ ụgwọ na nhọrọ n'ọdịnihu, mana ahụmịhe bụ isi ga-anọ n'efu.
Ncheta nri anyị na-adabere na nchekwa nri a họọrọ ma na-egosi nke ọma akara ntụkwasị obi ya. Ị nwere ike mgbe niile ịgbanwe servings ma ọ bụ gbanwee na nri pụrụ iche. Maka ngwaahịa a na-akwadebe, nchọpụta barcode bụ ziri ezi.
Ebe ọ bụla. Akwụkwọ gị, ndekọ ibu na ntọala nọ na nchekwa mpaghara nke ngwaọrụ gị. Enweghị sync igwe ojii ma ọ bụ nyocha. Ọ bụrụ na ị weghachite ngwa ahụ, data ahụ agwụla.
Mba. SkinnyScan bụ ngwá ọrụ mmụta nke dabere na sayensị nri. Ọ bụrụ na ị nwere ọnọdụ ahụike, akụkọ ihe mere eme nke ọrịa iri, ma ọ bụ na ị bụ nwaanyị na-enwe ime, biko rụọ ọrụ na onye ọkachamara kwesịrị ekwesị.
Ee. Ngwa niile — scanner, akwụkwọ, nghọta — na-arụ ọrụ na-enweghị njikọ ịntanetị. A na-ebudata ntụgharị otu oge ma na-echekwa.
N'ihi na sayensị nri ekwesịghị ịbụ naanị na Bekee. Anyị tụgharịrị ngwa ahụ n'asụsụ karịa 100 ka nuance ruo ọtụtụ ndị mmadụ — gụnyere asụsụ ndị ngwa kachasị na-ezighị ezi.

Kwadebe mgbe ị dị njikere.

N'efu, offline-first, na nwayọọ nwayọọ na-akwado gị.

Nweta SkinnyScan Gụọ sayensị