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Validation of ActiGraph and Fitbit in the assessment of energy expenditure in Huntington's disease

Abstract

The research leading to these results has received funding from “la Caixa” Foundation and Caja de Burgos Foundation, under agreement LCF/PR/PR18/51130008".

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Validation of ActiGraph and Fitbit in the assessment of energy expenditure in Huntington's disease

Author: Simón Vicente, Lucía,Rodríguez Fernández, Alejandro,Rivadeneyra Posadas, Jéssica Jannett,Soto Célix, María .,Raya-González, Javier,Castillo, Daniel,Calvo Simal, Sara,Mariscal, Natividad,García Bustillo, Álvaro,Aguado, Laura,Cubo Delgado, Esther
Publisher: Elsevier
Year: 2024
DOI: 10.1016/j.gaitpost.2024.01.028
Source: https://riubu.ubu.es/bitstream/10259/8857/1/Simon-cp_2024.pdf
Gai & Pos u e 109 (2024) 89–94
A ailable online 28 Janua y 2024
0966-6362/© 2024 The Au ho (s). Published by Else ie B.V. This is an open access a icle unde he CC BY-NC license (h p://c ea i ecommons.o g/licenses/by-
nc/4.0/).
Valida ion o Ac iG aph and Fi bi in he assessmen o ene gy expendi u e
in Hun ing on’s disease
Lucía Sim´
on-Vicen e
a
,
b
,
*
, Alejand o Rod íguez-Fe n´
andez
c
, J´
essica Ri adeney a-Posadas
a
,
b
,
Ma ía So o-C´
elix
d
,
g
, Ja ie Raya-Gonz´
alez
, Daniel Cas illo-Al i a
e
, Sa a Cal o
b
,
Na i idad Ma iscal
b
, ´
Al a o Ga cía-Bus illo
a
,
b
, Lau a Aguado
b
, Es he Cubo
a
,
b
a
Uni e si y o Bu gos, Spain
b
Hospi al Uni e si a io de Bu gos, Spain,
c
VALFIS Resea ch G oup, Ins i u e o Biomedicine (IBIOMED), Facul y o Sciences o Physical Ac i i y and Spo s. Uni e si y o Leon, Le´
on, Spain
d
Facul y o Heal h Sciences, Uni e sidad Isabel I, Bu gos, Spain,
e
Uni e sidad de Valladolid, Spain
Facul y o Spo Sciences, Uni e si y o Ex emadu a, C´
ace es, Spain
g
Endoc inología y Nu ici´
on. Se icio Medicina In e na. Hospi al Reina So ía. ´
A ea de Salud de Tudela, Se icio Na a o de Salud – Osasunbidea
ARTICLE INFO
Keywo ds:
Heal h p omo ion
Physical ac i i y
Ac i i y moni o
Rehabili a ion
Exe cise
Valida ion
ABSTRACT
Backg ound: Consume and esea ch ac i i y moni o s ha e become popula because o hei abili y o quan i y
ene gy expendi u e (EE) in ee-li ing condi ions. Howe e , he accu acy o ac i i y acke s in de e mining EE in
people wi h Hun ing on’s Disease (HD) is unknown.
Resea ch ques ion:
Can he Ac iG aph wGT3X-B o he Fi bi Cha ge 4 accu a ely measu e ene gy expendi u e du ing physical
ac i i y, in people wi h HD compa ed o Indi ec Calo ime y (IC) (Mediso E go Ca d)?
Me hods: We conduc ed a c oss-sec ional, obse a ional s udy wi h ou een pa icipan s wi h mild-mode a e HD
(mean age 55.7 ±11.4 yea s). All pa icipan s wo e an Ac iG aph and Fi bi du ing an inc emen al es , unning
on a eadmill a 3.2 km/h and 5.2 km/h o h ee minu es a each speed. We analysed and compa ed he ac-
cu acy o EE es ima es ob ained by Fi bi and Ac iG aph agains he EE es ima es ob ained by a me abolic ca ,
using wi h In a-class co ela ion (ICC), Bland-Al man analysis and co ela ion es s.
Resul s: A signi ican co ela ion and a mode a e eliabili y was ound be ween Ac iG aph and IC o he inc e-
men al es ( =0.667)(ICC=0.633). The e was a signi ican co ela ion be ween Fi bi and IC du ing he in-
c emen al es ( =0.701), bu he eliabili y was poo a all es ed speeds in he eadmill walk. Fi bi
signi ican ly o e es ima ed EE, and Ac iG aph unde es ima ed EE compa ed o IC, bu Ac iG aph es ima es we e
mo e accu a e han Fi bi in all es s.
Signi icance: Compa ed o IC, Fi bi Cha ge 4 and Ac iG aph wGT3X-BT ha e educed accu acy in es ima ing EE
a slowe walking speeds. These indings highligh he need o popula ion-speci ic algo i hms and alida ion o
ac i i y acke s.
1. In oduc ion
Hun ing on’s Disease (HD) is an inhe i ed au osomal dominan
neu odegene a i e diso de caused by an expanded iple (CAG) epea
in HTT gene on ch omosome 4p [1]. The disease has an es ima ed
p e alence o 3–7/100.000 people and i is cha ac e ized by mo emen
diso de s, cogni i e al e a ions, and psychia ic symp oms [1,2]. HD
pa ien s end o be ail, highly dependen on o he s, p one o losing
weigh , and physically inac i e. Inac i i y can ha e nega i e heal h
consequences such as ca dio ascula complica ions and sepsis [3].
Physical ac i i y (PA) is one o he a ious li es yle ac o s which
seems o modi y neu odegene a i e disease p og ession [4]. Regula
pa icipa ion in PA is associa ed wi h a dec eased isk o p ema u e
mo ali y and has posi i e e ec s on main aining unc ion and inde-
pendence as well as imp o ing quali y o li e. Fu he mo e, pa icipa ion
in egula exe cise has po en ial o esul in imp o ed s eng h, exe cise
* Co espondence o: Uni e sidad de Bu gos, Pº Comendado es, s/n., 09001 Bu gos, Spain.
E-mail add ess: [email p o ec ed] (L. Sim´
on-Vicen e).
Con en s lis s a ailable a ScienceDi ec
Gai & Pos u e
jou nal homepage: www.else ie .com/loca e/gai pos
h ps://doi.o g/10.1016/j.gai pos .2024.01.028
Recei ed 6 Oc obe 2022; Recei ed in e ised o m 20 No embe 2023; Accep ed 22 Janua y 2024
Gai & Pos u e 109 (2024) 89–94
90
ole ance, ca dio ascula i ness, mood and mobili y [5,6].
Se e al s udies sugges ha PA may be bene icial o indi iduals wi h
HD in e ms o mo o unc ion, gai speed, and balance [7]. Howe e , in
o de o aining o ha e a signi ican impac on he managemen o HD,
i is impo an o exe cise a he igh olume and in ensi y. Fo his
eason, i is c ucial o ha e accu a e de ices o measu e hese me ics in
esea ch and clinical p ac ice, being pa icula ly in e es ing o mul i-
disciplina y heal h eams [8].
Es ima es o daily ene gy expendi u e (EE) a e an impo an
componen in s udies o PA. Indi ec Calo ime y (IC) is a non-in asi e
echnique ha has been used as a gold s anda d o assessing in ensi y
and EE o PA by measu ing oxygen consump ion (O
2
) and ca bon di-
oxide p oduc ion (CO
2
) (pulmona y gas exchanges). Al hough i is he
bes ool o measu e and moni o EE, i is a cos ly and complexi y
me hod ha canno be used in ee-li ing en i onmen s [9,10].
Wi h ad ances in echnology, comme cial ac i i y acke s (also
e e ed o as accele ome e s) such as Ga min, Fi bi de ices o Ac i-
g aph a e inc easingly used in PA esea ch and allow an es ima e o EE.
Recen s udies ha e compa ed PA measu emen s aken by low-cos and
easy- o-in e p e de ices wi h measu emen s aken by high-cos de ices,
wi h some esea ch ocused on heal hy popula ions and o he s ocused
on popula ions wi h disease [10]. Fo example, he Ac ig aph has been
used in la ge-scale epidemiological s udies [9] as well as a e iew a icle
ha epo ed an exponen ial inc ease in he use o a popula comme cial
ac i i y moni o (Fi bi ) in esea ch [12]. These de ices ha a e ypi-
cally wo n on he w is o wais , can be summa ized in "coun s pe
minu e" o ans o med using di e en algo i hms o es ima e EE o he
ask and Me abolic equi alen s (METs), whe e 1 MET is how much en-
e gy a pe son uses up while a es [13]. Al hough mos o he moni o s
cu en ly a ailable ha e been alida ed in di e en popula ions, he
accu acy o low-cos de ices has no been e alua ed o pa icipan s
wi h HD [9]. Because people wi h HD ha e di icul ies wi h gai and
walking pe o mance due o hype kine ic and hypokine ic mo emen s,
i is especially impo an o e alua e he alidi y o moni o s in o de o
a oid inaccu a e conclusions [7].
To begin o ill his gap in in o ma ion abou he use o accele om-
e e s in HD, his s udy aimed o de e mine he accu acy o wo accel-
e ome e s ( esea ch- ocused de ice and low-cos de ice) in es ima ing
EE compa ed o IC ( he gold s anda d) in pa icipan s wi h HD.
2. Ma e ials and me hods
2.1. Design
A c oss-sec ional, obse a ional s udy was conduc ed a he Uni e -
si y Isabel I and Bu gos Uni e si y Hospi al, Spain. The s udy was con-
duc ed in wo isi s. In he i s one, we collec ed clinical in o ma ion,
and in he second isi , wi hin h ee mon hs, we collec ed o al EE da a.
2.2. Pa icipan s
A con enience sample o symp oma ic, ambula o y people diagnosed
wi h HD wi h a con i med gene ic mu a ion o >36 CAG epea s in he
HTT gene was ec ui ed. Conside ing he low p e alence o HD and
sample sizes included in p e ious alida ion s udies [14], 14 HD pa -
icipan s we e included. Symp oma ic HD pa icipan s we e de ined
wi h a sco e g ea e han 4 on he mo o subdomain o he Uni ied
Hun ing on´s Disease Ra ing Scale (UHDRS) [15], and a diagnos ic
con idence le el (DCL) o 4, able o walk wi h minimal suppo .
People diagnosed wi h diabe es melli us, hy oid dis u bances,
ac i e cance , neu odegene a i e condi ions, ca diac, pulmona y, o
skele al-muscula diseases we e excluded. People who we e p egnan o
b eas eeding, o aking medica ion ha could a ec me abolism/
endoc ine unc ion we e also excluded.
This s udy was conduc ed in acco dance wi h Good Clinical P ac ice
s anda ds in ol ing humans and was app o ed by he Ins i u ional
Re iew Boa d (Uni e si y Isabel I and Bu gos Uni e si y Hospi al, Ce -
i ica e numbe : CEIM-2429, Janua y 26 h, 2021). All pa icipan s
p o ided in o med consen by signing he consen o m p io o
pa icipa ing.
2.3. Tes p o ocol
Pa icipan s we e ins uc ed o a oid igo ous exe cise on he day
be o e es ing and e ain om alcohol, nico ine, and ca eine ou hou s
be o e he s udy isi . The de e mina ion o o al EE was pe o med by
as ing o a leas 5 h.
In he second session, all pa icipan s ecei ed adequa e ime o
amilia ize hemsel es wi h he eadmill p io o he es . Pa icipan s
we e accus omed o walking a di e en speeds wi hou using he
hand ails while b ea hing h ough he acemask. They we e ad ised o
s op a any ime by gi ing an ag eed signal o p essing he s op bu on.
EE ela ed o PA was e alua ed wi h a eadmill walk (Cosmos Pulsa
4.0, Cosmos Spo s & Medical, Nussdo -T auns ein, Ge many) wi h a
cons an slope (1%), unde h ee di e en speed condi ions: i) walking
a 3.2 km/h o h ee minu es, ii) walking a 5.2 km/h o h ee minu es
and iii) walking speed s a ed a 1.5 km/h and was inc eased by 0.5 km/
h e e y minu e un il he pa icipan exp essed, hey we e unable o
con inue. The pa icipan used a ha ness h oughou he es ( isk p o-
ec ion) and we e encou aged o only use he sideba s i hey needed o.
Walking a a cons an in ensi y o 3.2 km/h wi h a cons an g adien
o 1%, se ed as a measu e o he ac i i y o daily li ing – walking; a a
cons an in ensi y o 5.2 km/h wi h a cons an g adien o 1% as a
measu e o mode a e ac i i y; and he inc emen al es as a measu e o
igo ous ac i i y [16]. Du ing he es p o ocol, pa icipan s b ea hed
h ough he mask equipped wi h inspi a o y al es ha ansmi ed he
O
2
da a o a compu e o analysis [17]. Gas exchange was con inuously
moni o ed o analyse O
2
and CO
2
concen a ions by he use o a
b ea h-by-b ea h sys em (E go Ca d®, Mediso , So innes, Belgium).
P io o each es , he analyse was calib a ed by means o a sy inge
(Hans Rudolph®. Model 3800. Kansas. USA) and gas cylinde wi h gas
mix u e (G5512 5.04% CO
2
and 11.87% O
2
. Ai liquide), coupled o a
p essu e educe (Gloo ®. Swi zde land). The da a we e analysed by
speci ic so wa e (Mediso ®, So innes, Belgium).
2.4. Func ional assessmen s
A ce i ied mo emen diso de neu ologis e alua ed all HD pa ic-
ipan s a baseline using a s anda dized HD assessmen ool, he UHDRS,
including he mo o subscale (UHDRS-TM) wi h high sco es deno ing
g ea e impai men [15]. Disease se e i y was assessed using he To al
Func ional Capaci y (TFC) [18], wi h highe sco es indica ing mo e
in ac unc ioning. The se e i y o psychia ic symp oms was assessed
using he P oblem Beha io s Assessmen (PBA), wi h highe sco es
indica ing g ea e se e i y [19]. Cogni ion was sc eened using he
Mini-Men al S a e Examina ion (MMSE) [20].
2.5. Ac i i y moni o s
The Ac iG aph accele ome e (wGT3X-BT), he mos commonly used
accele ome e o assessing PA in esea ch unde ee-li ing condi ions,
was used o PA assessmen [10]. I was a small (4.6 cm ×3.3 cm×1.5
cm) and ligh weigh (19 g) de ice ha used a iaxial accele ome e o
measu e accele a ions in he ange o 8 G G’s wi h a band-limi ed e-
quency o 30–100 He z. Ten minu es be o e s a ing he p o ocol, he
de ice was a ached o a nylon bel and posi ioned on he igh hip
ollowing he manu ac u e ’s ins uc ions. Raw accele ome e da a we e
downloaded using Ac ili e 6 so wa e and hen ans o med in o 10-sec-
ond epochs iles. F eedson and colleagues [21] de eloped an equa ion o
con e coun s pe minu e in o METS, he s anda d uni o measu ed
ac i i y in ensi y. This equa ion allowed o meaning ul in e p e a ion
o Ac iG aph da a and he classi ica ion o ac i i y in ensi ies in o ligh ,
L. Sim´
on-Vicen e e al.
Gai & Pos u e 109 (2024) 89–94
91
mode a e o igo ous. All da a we e ans o med using he ollowing
equa ion: “ac i i y in ensi y (METS) =1.439008 +(0.000795 x
coun s
.
min
1
)”.
The Fi bi Cha ge 4, a w is -wo n ac i i y moni o (3.58 ×2.27
×1.25 cm and weighs 20 g) ha measu es dis ance, ac i e minu es, s ep
coun s, and calo ies, was also used. Ten minu es be o e s a ing he
p o ocol, he de ice was posi ioned on he dominan hand’s w is [12].
This ac i i y moni o calcula es METs h ough a a io ( a e o ene gy
expended du ing an ac i i y: a e o ene gy expended du ing es ),
conside ing ha du ing es o si ing quie ly people expend 1 MET [22].
Raw da a we e expo ed o CSV and hen con e ed in o an Excel ile o
da a in e p e a ion.
2.6. S a is ical analysis
Simila o p e ious s udies [10], EE es ima ion was compa ed o IC.
Desc ip i e s a is ics o pa icipan s and main ou comes a e p esen ed
as he mean and s anda d de ia ion (SD) o con inuous a iables, he
median, and he 25 h-75 h pe cen iles o non-no mally dis ibu ed o
o dinal da a. The no mali y o he a iables was e alua ed using he
Shapi o Wilk es . We calcula ed he equency dis ibu ion and pe -
cen ages o desc ibe ca ego ical a iables.
The accu acy o METs ob ained om Fi bi Cha ge 4 and he Ac i-
G aph wGT3X-BT compa ed o IC (gold s anda d) was calcula ed wi h
In a-class co ela ion (ICC) using wo-way mixed models wi h absolu e
ag eemen and co ela ion assessmen wi h Pea son and Spea man’s
es . ICCs we e analysed sepa a ely o bo h ac i i y moni o s measu ing
EE. ICC alues can ange om 0 (measu emen s a e no in ag eemen ) o
1(measu emen s a e eliable). These alues may be in e p e ed as
excellen eliabili y i ICC >0.90, ICC be ween 0.75 and 0.90 indica es
good eliabili y, alues be ween 0.5 and 0.75 indica e mode a e eli-
abili y and ICC <0.5 is in e p e ed as poo eliabili y [23].
Bland-Al man s a is ics we e pe o med o de e mine he limi s o
ag eemen (LoA) o each de ice compa ed wi h he c i e ion measu e.
Da a we e analysed using SPSS e sion 28 o Windows (SPSS Inc.,
Chicago, IL, USA) and Mic oso Excel. The le el o signi icance was se
a p <0.05. Sca e plo we e used o e alua e he linea i y o he asso-
cia ion be ween IC wi h Ac iG aph wGT3X-BT and Fi bi Cha ge 4.
3. Resul s
A o al o 14 HD pa icipan s (7 women) wi h a mean age o 55.7 ±
11.47 yea s we e included in his s udy. Clinical and An h opome ic
da a a e p o ided in Table 1. Compa ed o IC, Ac iG aph wGT3X-BT
p o ided lowe mean measu es o EE a he speed o 3.2 km/h and
highe mean measu es a he speed o 5.2 km/h as well as du ing he
inc emen al es . Compa ed o IC, Fi bi Cha ge 4 p o ided highe mean
measu es o EE in all es s (Table 2). Du ing he inc emen al es , Ac i-
G aph wGT3X-BT, could no p o ide alues when he speed was e y
low.
Ac oss he de ices, we ound a mode a e ag eemen be ween Ac i-
G aph wGT3X-BT and IC du ing he inc emen al es (ICC=0.633) and a
poo ag eemen in he o e all eadmill walk in ela ion o Fi bi Cha ge
4 and IC (Table 3). The c i e ion o IC de i ed ac i i y EE yielded he
s onges co ela ions wi h ac i i y EE es ima es om Ac iG aph
wGT3X-BT (p =0.667, p ≤0.001) and wi h Fi bi Cha ge 4 du ing in-
c emen al es (p =0.701, p ≤0.001).
Bland-Al man plo s (Fig. 1) e lec he di e ence be ween Ac iG aph
wGT3X-BT EE wi h IC, and Fi bi Cha ge 4 EE es ima es wi h IC.
Compa ed o IC, a he speed o 3.2 km/h (ligh in ensi y), Ac iG aph
wGT3X-BT p o ided he na owes 95% LoA. In ela ion o Fi bi Cha ge
4, he na owes 95% LoA we e a a speed o 3.2 km/h. In addi ion, he
plo s indica ed a lowe sys ema ic bias o IC and Ac iG aph wGT3X-BT
a 5.2 km/h, ollowed by he inc emen al es . In his ega d, Fi bi
Cha ge 4 o e es ima ed EE a a speed o 3.2, 5.2 km/h, and du ing in-
c emen al es compa ed o IC.
Rega ding he pe cen age o e o , Ac iG aph wGT3X-BT was mo e
accu a e han Fi bi Cha ge 4 in all es s (3.2 km/h, 5.2 km/h, and in-
c emen al). Ac iG aph showed he lowes e o pe cen age a 3.2 km/h
and Fi bi a 5.2 km/h (Table 3).
4. Discussion
To ou knowledge, his is he i s s udy ha analyses he accu acy o
wo accele ome e s o quan i y EE a di e en exe cise in ensi ies unde
con olled condi ions o HD pa icipan s.
We ound ha bo h de ices in all speeds ha e poo ag eemen wi h
IC, he gold s anda d o EE measu emen s, excep du ing he inc e-
men al es , o which he Ac ig aph wGT3X-BT indica ed mode a e
eliabili y. Du ing he inc emen al es , he e was a mode a e co ela ion
o bo h de ices wi h IC, bu as exe cise in ensi y inc eased, he Fi bi
Cha ge 4 o e es ima ed EE compa ed o IC and he Ac iG aph wGT3X-
BT.
P e ious s udies ha e examined he accu acy o a ious comme cial
ac i i y accele ome e s du ing di e en ac i i ies on he eadmill in
heal hy adul s [10,12,24]. Vanhels e al. [25] ound a high co ela ion
( =0.89) be ween accele ome y and oxygen consump ion, wi h a
mean di e ence e y close o 0 (1.1 ±1.3), wi h he LoA anging om
−2.9 o 2.9, sugges ing ha is a alid measu e o PA a a ying le els o
in ensi y.
By con as , B azeau e al. [26] e alua ed he accu acy o SenseWea
A mband and Ac ical compa ed o IC. These au ho s ound a signi ican
co ela ion be ween bo h ac i i y moni o s wi h IC ( =0.804;
=0.807; p<0.05, espec i ely), wi h good and excellen eliabili ies
(ICC o 0.892 and 0.906, espec i ely), bu hese de ices we e no ac-
cu a e o EE es ima ions du ing speci ic exe cise and es . Simila ly,
Anas asopoulou e al. [27] ound a mode a e co ela ion be ween
Ac iG aph GT3X ( =0.53; =0.70; p<0.05) and IC ( o bo h walking
and as walking ac i i y), bu he de ices did no show ag eemen
(ICC=0.23; ICC=0.35). Kossi e al. [28] compa ed he EE es ima ions by
Ac iG aph GT3X+wi h a gold s anda d measu emen and also ound
ha he ag eemen be ween bo h we e poo (ICC=0.32; ICC=0.21).
Fu he mo e, he de ice does no p o ide accu a e EE es ima es ac oss a
ange o placemen loca ions du ing mode a e and high-in ensi y PA.
Table 1
Desc ip i e cha ac e is ics o he pa icipan s.
Va iable n ¼14
Heigh (cm), mean ±SD 161.1 ±6
Weigh (kg), mean ±SD 64.2 ±11.6
BMI (kg/m
2
), mean ±SD 24.8 ±5.1
TMS, mean ±SD 29.3 ±13.6
TFC, median ( ange) 10 (8-13)
PBA, median ( ange) 1 (0-9.25)
MMSE, mean ±SD 27.2 ±2.7
BMI, Body mass index; TMS, To al Mo o Sco e; TFC, To al
Func ion Capaci y; PBA, P oblems Beha io s Assessmen ; MMSE,
Mini-Men al S a e.
Table 2
Ins umen a iabili y.
Tes Mean ± SD SEM
Indi ec Calo ime y 3.2 km/h 2.61 ±0.31 0.086
5.2 km/h 3.35 ±0.47 0.135
Inc emen al 2.96 ±0.96 0.081
Ac iG aph wGT3X-BT 3.2 km/h 1.68 ±0.74 0.212
5.2 km/h 3.45 ±1.14 0.345
Inc emen al 2.69 ±1.8 0.161
Fi bi Cha ge 4 3.2 km/h 5.75 ±1.47 0.425
5.2 km/h 6.17 ±1.6 0.480
Inc emen al 5.36 ±2.28 0.204
SEM: S anda d e o o he mean
L. Sim´
on-Vicen e e al.
Gai & Pos u e 109 (2024) 89–94
92
Table 3
Compa ison o EE o Ac iG aph and Fi bi wi h Indi ec Calo ime y (c i e ion).
Ac i i y Moni o Tes n Mean
di e ence
1
Lowe
LoA
2
Uppe
LoA
2
Absolu e pe cen age
e o
ICC 95% CI Co ela ion
coe icien
Lowe Uppe
Ac iG aph wGT3X-
BT
3.2 km/h 14 0.924 -0.803 2.651 132 -0.055 -0.253 0.308 -0.160 (0.601)
3
5.2 km/h 14 -0.097 -2.482 2.287 142 0.131 -0.520 0.65 0.159 (0.622)
4
Inc emen al 125 0.169 -2.383 2.723 165 0.633 0.515 0.728 0.667 * * (<0.001)
4
Fi bi Cha ge 4 3.2 km/h 14 -3.169 -6.304 -0.033 243 -0.009 -0.084 0.177 0.579 (0.170)
4
5.2 km/h 14 -2.9 -6.121 0.321 197 0.020 -0.088 0.272 0.523 (0.081)
4
Inc emen al 122 -2.59 -6.143 0.962 260 0.188 -0.080 0.435 0.701 * * (<0.001)
4
Mean di e ence=di e ence be ween he gold s anda d and he ac i i y moni o s o each speed
1
95% LoA=Limi s o ag eemen
2
ICC=In a-class co ela ion
CI=Con idence in e al
Pea son’s es
3
Spea man’s es
4
Fig. 1. - Bland-Al man plo isualizing ag eemen o ene gy expendi u e (MET) (A) Ac ig aph ’s IC a 3.2 km; (B) Fi bi ’s IC a 3.2 km/h; (C) Ac ig aph ’s IC a
5.2 km; (D) Fi bi ’s IC a 5.2 km/h; (E) Ac ig aph ’s IC du ing Inc emen al es ; (F) Fi bi ’s IC du ing Inc emen al es .
L. Sim´
on-Vicen e e al.
Gai & Pos u e 109 (2024) 89–94
93
In diseased popula ions, including pa icipan s wi h Mul iple Scle-
osis, Ac iG aph es ima es o EE compa ed o IC ha e shown good
ag eemen s (ICC=0.859). Howe e , in Bland Al man plo s, he di e -
ences pe eadmill speed be ween bo h measu emen s we e gene ally
wi hin 2 SD, wi h up o 30.3% disc epancy on slow-walking speeds. The
disag eemen be ween bo h de ices could be explained by he di e ence
in ou pu unde slow-walking condi ions [29]. Likewise, Abel e al. [30],
ound ha Ac iG aph was no accu a e o low-in ensi y mo emen s.
These esul s ag ee wi h ou esul s, wi h poo sensi i i y o EE o he
Ac ig aph a low speeds du ing he inc emen al es . The lack o
ag eemen could be because he de ice may no be sensi i e by clinical
cha ac e is ics o he pa icipan s, he disease i sel , o ha he loga-
i hms used a e no alida ed o people wi h cho ea.
In o he popula ions, Sean e al. [31] e alua ed he alidi y o
Ac iG aph in people wi h acqui ed b ain inju y and hey ound posi i e,
mode a e co ela ions ( ange 0.58 – 0.70, p <0.05). Howe e ,
Bland–Al man plo spanned 5.1 METs and, when compa ed wi h
measu ed MET le els, METs anged om 1.6 METs o e p edic ion o 4.3
METs unde p edic ion, so he absolu e ag eemen be ween measu ed
and p edic ed METs was no s ong, limi ing he alidi y o he Ac i-
g aph. Again, he disc epancy be ween de ices may be because people
wi h acqui ed b ain inju y who pa icipa ed in he s udy had ela ed gai
pa e n impai men s a ec ing he condi ions and pe o mance o he
s udy subs an i ely. Mandigou e al. [32] also compa ed he EE e al-
ua ed by IC, his ime in subacu e pos -s oke pa ien s. Du ing a scena io
consis ing o e e yday ac i i ies, hey es ima ed he EE using se e al
senso s and concluded a low co ela ion ( =0.04) and a e y poo
ag eemen o all senso s.
O e all, ou esul s ag ee wi h p e ious esea ch wi h heal hy adul s.
In hese s udies, epo ed Fi bi Cha ge 4 o e es ima ed EE wi h a
nega i e bias when ac i i ies we e pe o med on he eadmill (−19.3%
[SD 28.9]) [33], and a end o o e es ima e EE compa ed wi h IC wi h a
di e ence o es ima es o o al EE o −29.6% [34]. Ou indings ag ee
wi h a p e ious s udy ca ied ou by Sj¨
obe g [35] ha concluded ha
Fi bi sys ema ically o e es ima ed EE in pa icipan s wi h ch onic pain
(ICC=–0.03). Likewise, in ag eemen wi h ou esul s, He ke e al.
[36] demons a ed low accu acy o Fi bi (ICC=0.10) in es ima ing EE in
people wi h co ona y a e y disease. A possible explana ion o hese
esul s migh be due o Fi bi algo i hm employs an equa ion o es i-
ma ing es ing me abolic a e ha is s ill no debugged [37]. On he
o he hand, in people wi h Ch onic Obs uc i e Pulmona y Disease,
Ac iG aph seems o measu e s anda dized and common physical ac i -
i ies accu a ely, and i is ecommended o assessing ac i i ies o pa-
ien s in e ms o in ensi y and/o amoun . Howe e , Ac iG aph seems o
be s ill impe ec o measu ing EE in his popula ion [38].
Di e ences be ween Ac iG aph and Fi bi es ima es may be due o
he loca ion o he de ice. Hip-wo n moni o s, which a e close o he
cen e o mass, es ima es MET alues and o al EE be e han w is -wo n
de ices [11]. A e iew pe o med o e alua e he in luence o body
placemen o he accu acy o EE es ima ion concluded ha w is -wo n
moni o s gene ally lead o o e es ima ing EE [39]. This could be why
Fi bi Cha ge 4, loca ed on he w is , es ima ed METs alues wo se han
Ac iG aph wGT3X-BT, loca ed on he hip. In addi ion, o he con using
ac o s including HD mo o abno mali ies such as cho ea, in olun a y
je king o w i hing mo emen s, may a ec and cause di e ences in he
es ima ion o he EE [40].
5. Limi a ions
A po en ial limi a ion o his s udy is ha he accu acy o he Ac i-
G aph wGT3X-BT and Fi bi Cha ge 4 was examined only du ing
walking and jogging exe cise in ensi ies (i.e., ligh , mode a e, and
igo ous in ensi y) in a labo a o y unde con olled condi ions. How-
e e , i is unclea whe he simila indings would be obse ed unde
di e en en i onmen al condi ions.
Because his was a labo a o y-based s udy, pa icipan s only had o
wea he wea ables o app oxima ely 1 h 30 min. This s udy canno
de e mine whe he people wi h HD would be willing o wea he de ices
o longe pe iods. In addi ion, we canno ex apola e he esul s o a
communi y-dwelling indi iduals wi h HD in ee-li ing condi ions.
Howe e , despi e hese limi a ions, we belie e ha ou s udy has se e al
s eng hs, including being he i s s udy p o iding e idence abou he
accu acy o wo common accele ome e s in de ec ing EE in people wi h
HD in di e en body posi ions.
6. Conclusion
The e is a g owing in e es in using ac i i y moni o de ices o
p omo e heal hy li es yles and physical exe cise. Compa ed o IC, ou
esul s sugges ha Fi bi Cha ge 4 and Ac iG aph wGT3X-BT ha e
educed accu acy in es ima ing EE a slowe walking speeds. The loca-
ion o he de ice is ano he pa ame e o conside since hip-wo n
moni o s es ima e o al EE be e han w is -wo n de ices. These ind-
ings highligh he need o popula ion-speci ic algo i hms and alida ion
o ac i i y acke s.
Despi e he inding ha he Fi bi de ice o e es ima ed METS, i
could s ill be a bene icial ool o clinical applica ions in people wi h HD
gi en he ease o use, he ela i ely low cos , and i s abili y o gi e im-
media e eedback. Fu he mo e, when people wi h HD moni o hei PA
beha iou s, his can inc ease hei mo i a ion and p omo e he adop ion
o main enance o heal hy PA habi s. O e ime, hese beha iou s could
ha e a signi ican posi i e impac on peoples´daily li es by inc easing
hei le els o au onomy and independence as well as po en ially
delaying hei age o ins i u ionaliza ion.
CRediT au ho ship con ibu ion s a emen
Ma iscal Na i idad: Me hodology, Visualiza ion, W i ing – e iew
& edi ing. Ga cía-Bus illo Al a o: Supe ision, W i ing – e iew &
edi ing. Aguado Lau a: In es iga ion, P ojec adminis a ion, Valida-
ion, W i ing – e iew & edi ing. Cubo Es he : Concep ualiza ion, Da a
cu a ion, Fo mal analysis, Funding acquisi ion, Valida ion, W i ing –
o iginal d a , W i ing – e iew & edi ing. SIM´
ON LUC´
IA: Concep ual-
iza ion, Da a cu a ion, Fo mal analysis, In es iga ion, Me hodology,
So wa e, Valida ion, W i ing – o iginal d a , W i ing – e iew & edi -
ing. Cas illo-Al i a Daniel: Da a cu a ion, Fo mal analysis, In es iga-
ion, So wa e, Supe ision, W i ing – o iginal d a , W i ing – e iew &
edi ing. Cal o Sa a: Da a cu a ion, Fo mal analysis, Valida ion.
Rod íguez-Fe n´
andez Alejand o: Concep ualiza ion, In es iga ion,
Me hodology, P ojec adminis a ion, So wa e, W i ing – o iginal d a ,
W i ing – e iew & edi ing. Ri adeney a-Posadas Jessica: Da a cu a-
ion, Supe ision, W i ing – e iew & edi ing. So o-C´
elix Ma ía:
Concep ualiza ion, Funding acquisi ion, In es iga ion, W i ing – e iew
& edi ing. Raya-Gonz´
alez Ja ie : In es iga ion, Me hodology, So -
wa e, Valida ion.
Decla a ion o Compe ing In e es
The au ho s ha e no con lic o in e es o decla e.
Acknowledgmen s
The esea ch leading o hese esul s has ecei ed unding om “la
Caixa” Founda ion and Caja de Bu gos Founda ion, unde ag eemen
LCF/PR/PR18/51130008".
We would like o hank he pa ien s, he ca egi e s, all he people
who ha e collabo a ed in his p ojec and he Fundaci´
on la Caixa and
Fundaci´
on Caja de Bu gos. We also hank he Domino-HD Conso ium
o hei suppo (Mul i-Domain Li es yle Ta ge s o Imp o ing P og-
NOsis in Hun ing on’s Disease. DOMINO-HD. Ho izon 2020), and
especially o D . Be nha d Lande meye .
Ja ie Raya-Gonz´
alez was suppo ed by a Ramon y Cajal
L. Sim´
on-Vicen e e al.

Gai & Pos u e 109 (2024) 89–94
94
pos doc o al ellowship (RYC2021-031072-I) 2 gi en by he Spanish
Minis y o Science and Inno a ion, he S a e Resea ch Agency (AEI),
and he Eu opean Union (Nex Gene a ionEU/PRTR).
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