Bibliography na Hiking Analytics

Ina K, et al. (2023)

"Haɗin Tsarin Matakan Yau da kullun tare da Mutuwa a cikin Manyan Amurka"

JAMA Network Bude2023; 6 (3): e235174

Nazarin manya 4,840 na Amurka yana nuna cewa matakai 8,000-9,000/rana a cikin manya suna rage mace-mace. Fa'idodin plateau fiye da wannan kewayon, yana ba da shawarar raguwar dawowa a mafi girman matakan ƙididdiga.

Lee I-M, et al. (2019)

"Ƙungiyar Ƙarfin Mataki da Ƙarfi Tare da Duk-Dalilin Mutuwar Mata a cikin Manya"

JAMA Maganin Ciki 2019;179(8):1105-1112

Nazarin tsofaffin mata 16,741 (yana nufin shekaru 72) yana nuna raguwar mace-mace tare da matakan ≥4,400 / rana, tare da fa'idodin da ke bayyana kusan matakai 7,500 a rana. Tabbatar da shaida cewa "ƙarin ba koyaushe mafi kyau ba ne."

Ding D, et al. (2025)

"Mataki a kowace rana da duk-dalilin mace-mace: nazari na yau da kullun da meta-bincike"

Kiwon Lafiyar Jama'a na Lancet2025 (kan layi kafin bugawa)

Cikakken meta-bincike yana ba da alaƙar amsa kashi tsakanin matakan yau da kullun da sakamakon lafiya a tsakanin al'ummomi daban-daban.

Del Pozo-Cruz B, et al. (2022)

"Ƙungiyar Ƙididdigar Mataki na Kullum da Ƙarfi Tare da Ciwon Ciwon Ciki da Mutuwa Tsakanin Manya"

JAMA Maganin Ciki 2022;182(11):1139-1148

Nazarin manya 78,500 UK yana gabatarwaPeak - 30 digiriawo. An gano cewa duka matakan duka DA kololuwa-30 masu zaman kansu suna da alaƙa da rage cututtuka da mace-mace. Ƙwararru-30 na iya zama mahimmanci fiye da jimlar matakai don sakamakon lafiya.

Jagora H, et al. (2022)

"Haɗin gwiwar mataki yana ƙidaya akan lokaci tare da haɗarin cututtuka na yau da kullum a cikin Shirin Bincike na Dukkanmu"

Magungunan yanayi 2022;28:2301–2308

Babban binciken da ke nuna matakan ci gaba na tsawon lokaci yana rage haɗarin cututtuka na yau da kullun ciki har da ciwon sukari, kiba, apnea barci, GERD, da damuwa.

Del Pozo-Cruz B, et al. (2022)

"Ƙungiyar Ƙididdiga na Mataki na Kullum da Ƙarfafawa Tare da Cutar Haihuwa a cikin Manya 78,430 da ke zaune a Birtaniya"

JAMA Neurology 2022;79(10):1059-1063

Matakan yau da kullun da ƙarfin mataki duka suna da alaƙa da rage haɗarin lalata. Mafi kyawun kashi a kusa da matakai 9,800/rana, tare da ƙarin fa'idodi daga mafi girman ƙwararru (yawo cikin brisk).

Tudor-Locke C, et al. (2019) - Nazarin CADENCE- Manya

"Tsarin tafiya (matakai / min) da ƙarfi a cikin shekarun 21-40: CADENCE-manyan"

Jarida ta kasa da kasa na Abincin Abinci da Ayyukan Jiki 2019;16:8

Nazarin ƙasa yana kafa matakai 100/min a matsayin kofa don matsakaicin ƙarfi (3 METs)tare da 86% hankali da 89.6% takamaiman a cikin mahalarta 76 masu shekaru 21-40. Wannan binciken ya samar da tushe don sa ido kan ƙarfin aiki a cikin tafiye-tafiye.

Tudor-Locke C, et al. (2020)

"Tsarin tafiya (matakai / min) da ƙarfi a cikin tsofaffi masu shekaru 41 zuwa 60: nazarin CADENCE- manya"

Jarida ta kasa da kasa na Abincin Abinci da Ayyukan Jiki 2020;17:137

An tabbatar da iyakar 100 spm don matsakaicin matsakaici a cikin manya masu shekaru (41-60). An kafa 130 spm a matsayin ƙofa don ƙarfin ƙarfi (6 METs).

Aguiar EJ, et al. (2021)

"Cadence (matakai / min) da ƙarfin dangi a cikin 21 zuwa 60 masu shekaru: nazarin CADENCE-adult"

Jarida ta kasa da kasa na Abincin Abinci da Ayyukan Jiki 2021;18:27

Meta-binciken da ke tabbatar da ƙofofin ƙididdiga sun kasance masu karko a cikin shekaru 21-85, suna goyan bayan aikace-aikacen duniya mai ƙarfi na sa ido mai ƙarfi.

Moore CC, et al. (2021)

"Haɓaka Ma'auni na tushen Cadence don Hiking"

Magunguna & Kimiyya a Wasanni & Motsa jiki 2021;53(1):165-173

Ƙirƙirar ma'auni mai sauƙi:METs = 0.0219 × adadin + 0.72. Wannan samfurin ya nuna 23-35% mafi girman daidaito fiye da daidaitattun daidaiton ACSM, tare da madaidaicin ~0.5 METs a saurin tafiya na yau da kullun.

Tudor-Locke C, et al. (2022)

"Cadence (matakai / min) da ƙarfi yayin ambulation a cikin shekarun 6-20: nazarin CADENCE-yara"

Jarida ta kasa da kasa na Abincin Abinci da Ayyukan Jiki 2022;19:1

Shaida ta farko don bincike mai ƙarfi-ƙarfin a cikin ƙungiyoyin shekaru, yana ba da cikakkiyar tsari don fassarar.

Ƙungiyar Zuciya ta Amirka (AHA)

"Tsarin Ƙimar Ƙirar Zuciya"

Daidaitaccen tunani don horon yanki na bugun zuciya. Matsakaicin matsakaici = 50-70% max HR; mai ƙarfi = 70-85% max HR.

Studenski S, et al. (2011)

"Gudun Tafiya da Rayuwa a cikin Manya"

JAMA 2011;305(1):50-58

Nazarin ƙasa na tsofaffi 34,485 waɗanda ke kafa saurin tafiya a matsayin mai hasashen rayuwa.Gudun <0.8 m/s da ke da alaƙa da mace-mace mafi girma; gudun>1.0m/s yana nuna kyakkyawan aikin lafiya. Gudun gudu yanzu ana ɗaukar "mahimmin alamar" lafiya a cikin manya.

Pamoukdjian F, et al. (2022)

"Gudun gudu da faɗuwa a cikin tsofaffi: nazari na yau da kullun da meta-bincike"

BMC Geriatrics 2022;22:394

Bita na laima na kafa dangantaka mai ƙarfi tsakanin saurin tafiya a hankali da ƙara haɗarin faɗuwa a cikin tsofaffin mazan jama'a.

Verghese J, et al. (2023)

"Rauni na shekara-shekara na saurin tafiya yana faɗuwa a cikin manya"

BMC Geriatrics 2023;23:290

Canje-canje na shekara-shekara na saurin tafiya yana hasashen haɗarin faɗuwa. Kula da canje-canjen saurin tafiya na shekara yana ba da damar sa baki da wuri don hana faɗuwa.

Hausdorff JM, et al. (2005)

"Saɓan canji da faɗuwar haɗari a cikin tsofaffi masu rayuwa a cikin al'umma: nazarin mai yiwuwa na shekara 1"

Jaridar NeuroEngineering da Gyara 2005;2:19

Ƙara yawan sauye-sauyen tafiya (ƙididdigar bambance-bambance a lokacin tafiya) yana tsinkayar faɗuwar haɗari. CV> 3-4% a cikin tafiye-tafiye na yau da kullun yana nuna haɗarin haɗari.

Hausdorff JM (2009)

"Tsarin motsa jiki a cikin cutar Parkinson: dabi'a na kowa kuma daban-daban tsakanin tsayin tsayin daka, sauye-sauyen gait, da fractal-like scaling"

Hargitsi 2009;19(2):026113

Binciken juzu'i na tsarin gait a cikin cutar Parkinson yana nuna sauye-sauyen sauye-sauye da kuma asarar rikitarwa a cikin yanayin jijiya.

Moe-Nilssen R, Helbostad JL (2004)

"Kimanin halayen zagayowar gait ta hanyar accelerometry"

Jaridar Biomechanics 2004;37(1):121-126

Tabbatar da amincin na'urori masu accelerometer masu hawan gangar jikin don nazarin gait, kafa tushe don ƙimar wayar hannu da smartwatch gait.

Phinyomark A, et al. (2020)

"Bincike na ɓarna na bambancin tafiyar ɗan adam ta hanyar jerin lokaci tazara"

Gaba a cikin ilimin Halittu 2020;11:333

Yin bita na hanyoyin bincike na fractal (DFA alpha) don ƙididdige ma'amala mai tsayi a cikin tsarin gait, masu amfani don gano yanayin jijiya.

Ralston HJ (1958)

" Dangantakar saurin kuzari da mafi kyawun gudu yayin hawan matakin"

Internationale Zeitschrift don angewandte Physiology 1958;17:277-283

Nazari na al'ada da ke kafa tsarin tattalin arzikin tafiya mai siffa U. Mafi kyawun saurin tafiya (mafi ƙarancin kuzari) yana faruwa a kusan 1.25 m/s (4.5km/h) akan matakin ƙasa.

Zarrugh MY, et al. (2000)

"Guri da aka Fi so da Farashin Sufuri: Tasirin Ƙaƙwalwa"

Jaridar Gwaji Biology 2000;203:2195-2200

Farashin sufuri yana ƙaruwa sosai tare da gradient. + 5% gradient mahimmanci yana haɓaka farashin metabolism; ƙananan gradients (-5 zuwa -10%) suna ƙara ƙimar birki mai ƙima.

Lim HT, et al. (2018)

"Tsarin ƙima mai sauƙi don ƙididdige yawan kuɗin da ake yi na hawan ɗan adam a kan gangara da saman"

Rahoton Kimiyya 2018;8:5279

Samfurin injina na tsadar makamashin balaguro wanda ya haɗa da gradient da nau'in ƙasa, yana ba da damar hasashen buƙatun rayuwa a cikin yanayi daban-daban.

Steudel-Lambobin K, Tilkens MJ (2022)

"Tasirin ƙananan tsayin ƙafafu akan farashi mai kuzari na locomotion: abubuwan da ke tattare da hominins"

eLife2022;11:e81939

Bincike na cinikin makamashi/lokaci a cikin dabarun takin ɗan adam a cikin saurin tafiya daban-daban da gradients.

Apple Inc. (2021)

"Amfani da Apple Watch don Ƙimar Cardio Fitness tare da VO₂ max"

Farar takarda na fasaha da ke kwatanta hanyoyin Apple Watch don ƙididdige VO₂max yayin tafiye-tafiye na waje, gudu, da tafiye-tafiye. Yana amfani da ƙimar zuciya, saurin GPS, da bayanan accelerometer tare da ingantattun algorithms.

Takardun Developer Apple

"HKQuantityTypeIdentifier.vo2Max"

Takardun HealthKit API na hukuma don samun damar bayanan VO₂max. Raka'a: ml/(kg·min). Apple Watch Series 3+ yana kimanta VO₂max yayin ayyukan cardio na waje.

Apple Support

Game da Cardio Fitness akan Apple Watch

Takaddun da ke fuskantar mai amfani suna bayanin matakan motsa jiki na zuciya, yadda ake auna su, da yadda ake inganta su. Ya haɗa da jeri na ƙayyadaddun ƙayyadaddun jima'i da shekaru.

Takardun Developer Apple

"HKCategoryTypeIdentifier.lowCardioFitnessEvent"

API don gano ƙananan abubuwan motsa jiki na cardio, yana ba da damar sa kaimi ga kiwon lafiya lokacin da VO₂max ya faɗi ƙasa da shekaru / ƙayyadaddun ƙayyadaddun jima'i.

Apple Inc. (2022)

"Auna Ingantacciyar Tafiya Ta hanyar iPhone Ma'aunin Motsi"

Farar takarda da ke bayanin ingancin ma'aunin tafiya na tushen iPhone: saurin tafiya, tsayin mataki, kashi biyu na tallafi, asymmetry na tafiya. iPhone 8+ tare da iOS 14+ na iya tattara waɗannan ma'auni yayin ɗaukar su cikin aljihu/jaka.

Apple WWDC 2021

"Bincika abubuwan ci-gaba na HealthKit - Tsayayyar Hiking"

Zaman fasaha yana gabatar da awo Steadiness na Hiking: ma'aunin ma'auni mai haɗaka, kwanciyar hankali, da daidaitawa da aka samo daga sigogin gait. Yana ba da rarrabuwar haɗarin faɗuwa (Ok, Low, Very Low).

Gidan Labarai na Apple (2021)

"Apple yana haɓaka lafiyar mutum ta hanyar gabatar da amintaccen rabawa da sabbin fahimta"

Sanarwa fasalin Haɗin Kai a cikin iOS 15, yana ba da damar gano haɗarin faɗuwa da shawarwarin shiga tsakani ga masu amfani da ke cikin haɗari.

Moon S, et al. (2023)

"Tsarin aikace-aikacen Apple Health don auna saurin gait: Nazarin Lura"

JMIR Tsarin Bincike2023; 7: e44206

Binciken tabbatarwa yana nuna iPhone Health app ma'aunin saurin yawo yana daidaita da kyau tare da kimanta darajar bincike (r=0.86-0.91), yana goyan bayan amfanin asibiti.

Takardun Developer na Android

"Health Connect data iri da kuma bayanan raka'a"

Takaddun hukuma don nau'ikan bayanan Haɗin Lafiya ciki har da StepsRecord, StepsCadenceRecord, SpeedRecord, DistanceRecord, HeartRateRecord, Vo2MaxRecord. API ɗin daidaitaccen haɗin bayanan lafiyar Android.

Takardun Lafiyar Google

"Nau'in bayanan ƙidaya mataki"

Takaddun Google Fit API don bayanan matakin matakin (matakai a minti daya), yana ba da damar sa ido kan aiki mai ƙarfi akan na'urorin Android.

Takardun Lafiyar Google

"Karanta jimlar matakan yau da kullun"

Koyawa don samun damar ƙididdigar matakan yau da kullun daga Google Fit API, gami da bayanai daga tushe da yawa (na'urori masu auna firikwensin waya, wearables).

Jagorar Haɓaka Android

"Bayyanar Haɗin Lafiya"

Bayanin dandali na Haɗin Lafiya, ma'ajiyar bayanan kiwon lafiya na Google don Android, yana ba da damar raba bayanan giciye tare da izinin mai amfani.

Zandbergen PA, Barbeau SJ (2011)

"Tsarin Matsayin Taimakon Bayanan GPS daga Wayoyin Hannun Hannu na GPS"

PLOS DAYA2011; 6 (7): e24727

Binciken tabbatar da daidaiton GPS na wayar hannu a cikin mahallin birane. Ma'ana kuskure 5-8m a buɗaɗɗen wuraren buɗe ido, yana ƙaruwa zuwa 10-20m a cikin kwarin birane. Yana kafa tushen tushe don tsammanin daidaiton GPS na mabukaci.

Wu X, et al. (2025)

"Madaidaicin taswirar matakan tafiya ta gefen titi ta amfani da bayanan GNSS na wayar hannu"

Kewayawa Tauraron Dan Adam 2025;6:3

ƙayyadaddun taswirar taswirar ƙayyadaddun taswirar ƙaƙƙarfan taswira don kewaya mai tafiya, haɓaka daidaito a cikin mahallin birane inda daidaitaccen hanyar sadarwar hanyar sadarwa ta gaza.

Jiang C, et al. (2020)

"Haɗin kai tsaye da GNSS/PDR Ta amfani da Filter Kalman Filter don Kewayawa Smartphone Kewayawa"

Aiwatar da fasaha na GNSS/IMU firikwensin firikwensin ta amfani da Extended Kalman Filter, yana ba da damar ci gaba da matsayi lokacin da siginar GPS ta ɓace (tunnels, canji na cikin gida).

Zhang G, et al. (2019)

"Hybrid Map Matching Algorithm Akan Taswirar Wayar Hannu da OBD mai Rahusa a cikin Canyons na Birane"

Hannun nesa 2019;11(18):2174

Matsakaicin madaidaicin tsarin haɗa GNSS tare da firikwensin inertial don ingantattun daidaito a cikin ƙalubalen mahalli na birni (dogayen gine-gine, murfin itace).

American Thoracic Society (2002)

"Sanarwa ATS: Sharuɗɗa don Gwajin Hike na Minti Shida"

Jaridar Amirka na Magungunan Numfashi da Mahimmancin Kulawa 2002;166:111-117

Daidaitaccen ƙa'idar hukuma don Gwajin Hike na Minti 6 (6MWT), ƙimar aikin motsa jiki da aka yi amfani da shi sosai. Ya haɗa da jagororin gudanarwa, ƙa'idodi na yau da kullun, da fassarar.

Podsiadlo D, Richardson S (1991)

"Lokaci 'Up & Go': Gwajin Motsi na Aiki na Farko don Tsofaffi masu rauni"

Jaridar The American Geriatrics Society 1991;39(2):142-148

Bayanin asali na gwajin Timed Up da Go (TUG), ƙimar gwal na motsin aiki da faɗuwar haɗari a cikin manya. Lokaci> 14 seconds yana nuna babban haɗarin faɗuwa.

Ainsworth BE, et al. (2011)

"Haɗin Ayyukan Jiki na 2011: Sabunta Na Biyu na Lambobi da Ƙimar MET"

Magunguna & Kimiyya a Wasanni & Motsa jiki 2011;43(8):1575-1581

Cikakken lissafin ƙimar MET don ayyuka 800+. Ƙimar ƙayyadaddun ƙayyadaddun tafiya: 2.0 METs (sosai a hankali, <2 mph), 3.0 METs (matsakaici, 2.5-3 mph), 3.5 METs (brisk, 3.5 mph), 5.0 METs (sosai brisk, 4.5 mph).

Ainsworth BE, et al. (2024)

"Ƙungiyar Manya ta 2024 na Ayyukan Jiki: Sabunta Lambobin Ayyuka da Ƙimar MET"

Jaridar Wasanni da Kimiyyar Lafiya2024 (kan layi kafin bugawa)

Sabbin sabuntawa na kwanan nan ga Compendium, haɗa sabbin ayyuka da ƙimar MET da aka sabunta bisa binciken kwanan nan. Magana mai mahimmanci don lissafin kashe kuɗin makamashi.

Fukuchi RK, et al. (2019)

"Sakamakon saurin tafiya a kan gait biomechanics a cikin mahalarta lafiya: nazari na yau da kullun da nazarin meta"

Tsare-tsare Reviews 2019;8:153

Cikakken meta-bincike na tasirin saurin tafiya a kan sigogi na spatiotemporal, kinematics, da motsa jiki. Matsakaici zuwa manyan sakamako masu girma suna nuna cewa saurin yana canza ainihin kayan aikin gait.

Mirelman A, et al. (2022)

"Yanzu da makomar kimar gait a cikin aikin asibiti: Zuwa aikace-aikacen sabbin abubuwa da fasaha"

Gaba a Fasahar Kiwon Lafiya 2022;4:901331

Binciken fasahar sawa da aikace-aikacen AI don kimanta gait na asibiti, gami da sigogi na spatiotemporal, kinematics, da ma'auni na asibiti (UPDRS, SARA, Indexididdigar Gait Dynamic).

Mann RA, et al. (1986)

"Comparative electromyography of the lower extremity in jogging, run, and sprinting"

Jaridar Amirka ta Magungunan Wasanni 1986;14(6):501-510

Nazarin EMG na al'ada wanda ya bambanta tafiya da injiniyoyi masu gudana. Hiking yana da lokacin tallafi na 62% vs 31% a cikin gudu; nau'ikan kunna tsoka daban-daban suna nuna ainihin nau'ikan biomechanics daban-daban.

Straczkiewicz M, et al. (2023)

"Hanyar sanin hanyar tafiya mai girma-ɗaya-fice don wayoyin hannu, smartwatch, da na'urorin accelerometer masu sawa"

npj Digital Medicine 2023;6:29

Algorithm na ƙayyadaddun ƙayyadaddun ƙayyadaddun ƙayyadaddun balaguron balaguro na samun 0.92-0.97 hankali a cikin nau'ikan na'urori daban-daban da wuraren jiki. An inganta shi tare da bayanan jama'a 20, yana ba da damar bin diddigin ayyuka a duk faɗin dandamali.

Porcuncula F, et al. (2024)

"Na'urori masu iya sawa a cikin Wasu Yankunan Likita tare da Yiwuwar Aikace-aikacen don Tiyatar Cutar Kashi"

Sensors 2024;24(11):3454

Yin bita na aikace-aikacen firikwensin sawa don auna saurin tafiye-tafiye na ainihi, ƙidayar mataki, ƙarfin amsawar ƙasa, da kewayon motsi ta amfani da accelerometers, gyroscopes, da magnetometer.

Ungvari Z, et al. (2023)

"Amfanin fa'idodi da yawa na tafiya don tsufa mai kyau: daga Blue Zones zuwa hanyoyin kwayoyin halitta"

GeroScience 2023;45:3211–3239

Cikakken bita da ke nuna 30 min / day hiking × 5 days yana rage haɗarin cuta. Abubuwan da ke hana tsufa a kan bugun jini, cututtukan zuciya, da aikin rigakafi. Yana rage cututtukan zuciya, ciwon sukari, da haɗarin fahimi.

Karstoft K, et al. (2024)

"Fa'idodin kiwon lafiya na Interval Hiking Training"

Aiwatar da Ilimin Halitta, Nutrition, da Metabolism 2024;49(1):1-15

Bita na Horar Hiking (IWT) mai saurin tafiya da jinkiri. Yana inganta lafiyar jiki, ƙarfin tsoka, da sarrafa glycemic a cikin nau'in ciwon sukari na 2 mafi kyau fiye da ci gaba da tafiya matsakaici.

Morris JN, Hardman AE (1997)

"Tafiya zuwa lafiya"

Magungunan Wasanni 1997;23(5):306-332

Bita na gargajiya da ke tabbatar da cewa yin tafiya a> 70% max HR yana haɓaka lafiyar zuciya. Yana haɓaka metabolism na HDL da haɓakar insulin/glucose. Tushen tafiya a matsayin saƙon lafiya.