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Effectiveness and process evaluation in obesity and type 2 diabetes prevention programs in children: a systematic review and meta-analysis

Abstract

Background: Obesity in children is one of the most severe public health challenges of the current century and Type 2 Diabetes Mellitus (T2DM) frequency is also escalating. More so, the importance of process evaluation (PE) in complex interventions is increasingly recognized. The present review, aims to identify the effectiveness in terms of body composition parameters in a generation of articles to prevent obesity and T2DM in children. We hypothesise that those studies reporting PE applying the latest implementation guidelines suggested by the researchers would potentially show positive changes in body composition compared to those not reporting it. Additionally, we will evaluate the implementation degree of PE in those articles considering it and describe the PE subcomponents. Lastly, we aim to assess the intervention target used and its results. Methods: A literature review was performed in parallel by 2 independent reviewers. A final number of 41 studies were selected for inclusion criteria. Results: Meta-analysis of BMI and zBMI found non-significant effects of the proposed interventions. Sub-group analysis revealed only a significant effect in studies which performed PE. Moreover, PE was reported in 42% effective studies and 57% non-effective studies. Fidelity and satisfaction were the most implemented PE subcomponents, although there was a generally low grade of PE use (7/41). The highest proportion of effectiveness (83%) was shown in interventions of physical activity alone while the intervention most used was 3-arm target (diet, PA and BS). Conclusions: Overall, obesity and T2DM prevention studies included in this review are not effective in terms of BMI and zBMI. Those studies performing PE reported to be effective in terms of BMI, while studies not reporting PE did not have positive results in terms of BMI and zBMI. In addition, none of the intervention studies included all PE indicators and most studies, which included PE in their interventions, did not provide full report of the PE components, according to the guidelines used for the present review. PROSPERO registration number: CRD42018093667. Seral-Cortes, M.; De Miguel-Etayo, P.; Zapata, P.; Miguel-Berges, M.L.; Moreno, L.A.

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Effectiveness and process evaluation in obesity and type 2 diabetes prevention programs in children: a systematic review and meta-analysis

Author: Seral-Cortes, M.; De Miguel-Etayo, P.; Zapata, P.; Miguel-Berges, M.L.; Moreno, L.A.
Year: 2021
DOI: 10.1186/s12889-021-10297-8
Source: https://zaguan.unizar.es/record/99686/files/texto_completo.pdf
RESEARCH ARTICLE Open Access
E ec i eness and p ocess e alua ion in
obesi y and ype 2 diabe es p e en ion
p og ams in child en: a sys ema ic e iew
and me a-analysis
M. Se al-Co es
1,2
, P. De Miguel-E ayo
1,3*
, P. Zapa a
1,4
, M. L. Miguel-Be ges
1,2
and L. A. Mo eno
1,2,3
Abs ac
Backg ound: Obesi y in child en is one o he mos se e e public heal h challenges o he cu en cen u y and
Type 2 Diabe es Melli us (T2DM) equency is also escala ing. Mo e so, he impo ance o p ocess e alua ion (PE) in
complex in e en ions is inc easingly ecognized. The p esen e iew, aims o iden i y he e ec i eness in e ms o
body composi ion pa ame e s in a gene a ion o a icles o p e en obesi y and T2DM in child en. We hypo hesise
ha hose s udies epo ing PE applying he la es implemen a ion guidelines sugges ed by he esea che s would
po en ially show posi i e changes in body composi ion compa ed o hose no epo ing i . Addi ionally, we will
e alua e he implemen a ion deg ee o PE in hose a icles conside ing i and desc ibe he PE subcomponen s.
Las ly, we aim o assess he in e en ion a ge used and i s esul s.
Me hods: A li e a u e e iew was pe o med in pa allel by 2 independen e iewe s. A inal numbe o 41 s udies
we e selec ed o inclusion c i e ia.
Resul s: Me a-analysis o BMI and zBMI ound non-signi ican e ec s o he p oposed in e en ions. Sub-g oup
analysis e ealed only a signi ican e ec in s udies which pe o med PE. Mo eo e , PE was epo ed in 42%
e ec i e s udies and 57% non-e ec i e s udies. Fideli y and sa is ac ion we e he mos implemen ed PE
subcomponen s, al hough he e was a gene ally low g ade o PE use (7/41). The highes p opo ion o e ec i eness
(83%) was shown in in e en ions o physical ac i i y alone while he in e en ion mos used was 3-a m a ge (die ,
PA and BS).
(Con inued on nex page)
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* Co espondence: pila dm@uniza .es
1
G ow h, Exe cise, NU i ion and De elopmen (GENUD) Resea ch G oup,
Ins i u o Ag oalimen a io de A agón (IA2), Ins i u o de In es igación Sani a ia,
A agón (IIS A agón), Uni e sidad de Za agoza, 50009 Za agoza, Spain
3
CIBER Fisiopa ología de la Obesidad y Nu ición (CIBERobn), Ins i u o de
Salud Ca los III, Mad id, Spain
Full lis o au ho in o ma ion is a ailable a he end o he a icle
Se al-Co es e al. BMC Public Heal h (2021) 21:348
h ps://doi.o g/10.1186/s12889-021-10297-8
(Con inued om p e ious page)
Conclusions: O e all, obesi y and T2DM p e en ion s udies included in his e iew a e no e ec i e in e ms o BMI
and zBMI. Those s udies pe o ming PE epo ed o be e ec i e in e ms o BMI, while s udies no epo ing PE did
no ha e posi i e esul s in e ms o BMI and zBMI. In addi ion, none o he in e en ion s udies included all PE
indica o s and mos s udies, which included PE in hei in e en ions, did no p o ide ull epo o he PE
componen s, acco ding o he guidelines used o he p esen e iew. PROSPERO egis a ion numbe :
CRD42018093667.
Keywo ds: P ocess e alua ion, Obesi y, Type 2 diabe es melli us, Body composi ion, Heal h plan implemen a ion,
P ima y p e en ion
Backg ound
Obesi y has impo an e ec s on heal h in he sho ,
medium and long e ms whe e me abolic complica ions
a e common [1]. In child en, o e weigh and obesi y’s
p e alence has inc eased in e e y con inen o he wo ld
in ecen decades [2]. Cu en ly o e 1.5 billion adul s
and 170 million child en a e o e weigh o obese [3].
Obesi y in child en is one o he mos se e e global pub-
lic heal h challenges o he cu en cen u y [4]. Type 2
diabe es melli us (T2DM) equency is apidly escala ing,
wi h i al implica ions o mo bidi y and mo ali y.
Wo ldwide p e alence igu es o T2DM in 2019 es i-
ma es 463 million (9.3%) people a ec ed, escala ing o
578 million (10.2%) by 2030 and 700 million (10.9%) by
2045 [5]. As a esul o he inc easing a es o obesi y
and seden a y li es yle, younge popula ions a e
p omp ly diagnosed wi h T2DM [6] co esponding o
he ex ensi e sp ead o childhood obesi y [7].
Li es yle in e en ion p og ams o he ea men o
child en and adolescen s wi h obesi y had a long- e m
success a e lowe han 10% [8]. The ine iciency o p e-
en ion p og ams o li es yle in e en ion comp ehends
se e al ac o s including lack o mul idisciplina y ap-
p oaches, inc easing men al heal h ela ed issues o in-
su icien in ol emen o he pa en s, which migh
in e ac wi h he p og am’s adhe ence [9]. As T2DM is
one o he mos equen me abolic complica ions o
obesi y wi h impo an long- e m e ec s, combined ac-
ions o p e en bo h obesi y and T2DM could be
de eloped.
A numbe o esea ch ac i i ies aim o build and
e alua e e idence-based p og ams o p e en childhood
obesi y [10]. The school is usually ega ded as a sui able
and e ec i e se ing o ca y ou obesi y p e en ion p o-
g ams aiming o e alua e s uden s’ene gy balance-
ela ed beha io s (EBRBs) [11]. Howe e , mos o sys-
ema ic e iews conduc ed in Uni ed s a es and Eu ope
o school-based in e en ions p e en ing obesi y, p o-
mo e physical ac i i y (PA) and dec ease seden a y be-
ha io s, show mode a e e idence o e ec i eness [12,
13]. Mos o he obesi y p e en ion p og ams a e di i-
cul o implemen and e alua e due o he mul iple
in e ac ing componen s ha exis . Randomized con-
olled ials (RCT) o hese p og ams a e o en known
o i s di icul ies o ind ou he eason why he p o-
g am wo ked o did no wo k wi hou examining unde -
lying p ocesses [11]. Wi h public heal h depending on
he impac o hese p og ams and hei implemen a ion
in p ac ice, i is essen ial o in e p e whe he a p og am
was implemen ed as in ended, o wha ex end and how
hese concep s could modula e he e ec i eness o he
p og am [14]. Ve i ying ha he in e en ions a e deli -
e ed as planned as well as ac o s a ec ing implemen a-
ion, allows an accu a e in e p e a ion o in e en ion
ou comes and con ex by he esea che s and policy
make s in o de o op imize u he implemen a ion o
in e en ions in he u u e [15].
The impo ance o p ocess e alua ion (PE) in public
heal h in e en ion esea ch is g adually ecognized [16].
The use o PE is o obse e and eco d p og am imple-
men a ion as well as helping o unde s and he connec-
ion be ween speci ic p og am elemen s and p og am
ou comes. Se e al p ac ical amewo ks and models a e
a ailable o lead di e en p o essionals o he de elop-
men o an e alua ion plan wi h wide scope, including
PE. The e a e comp ehensi e and sys ema ic app oaches
o de eloping a PE plan o assess he implemen a ion o
a pa icula p e en ion p og am in e en ion. These ap-
p oaches a e di ided in di e en indica o s including e-
c ui men , each, ideli y, dose and sa is ac ion [16].
Howe e , he e is no ag eemen on wha is he ideal
s anda d o classi y he s udy o implemen a ion in o key
pa s, o ins ance dose and each, and i is no possible
o p oduce a de ini e s anda d among he a ious ame-
wo ks used a p esen . Wi hou he p esence o PE, i is
challenging o di e en ia e be ween ou comes ha a e,
in heo y, ela ed o a lack o ideli y and hose ones a -
ibu ed o he incompe ence o he in e en ion o
achie e he expec ed esul s. Unsuccess ul a emp s o
pe o m an in e en ion as in ended p omp s o mis-
leading esul s and conclusions abou he e ec i eness
o he in e en ion and is conside ed no alid o epli-
ca e o use in u u e in es iga ions in he scien i ic com-
muni y. Mul icomponen p e en ion p og ams a e
Se al-Co es e al. BMC Public Heal h (2021) 21:348 Page 2 o 17
complex in e en ions, designed o wo k syne gis ically.
Fo his eason, PE con ibu es o in e p e complex ou -
come e ec s and helps o unde s and he analysis o he
in e en ion deli e ed [17,18].
RCTs a e conside ed he bes s udy design o es ablish
he e ec i eness o in e en ions wi h ce ain deg ee o
complexi y. Howe e , he e is no in o ma ion a p esen
o how an in e en ion migh be ep oduced in a pa -
icula con ex , o whe he ial ou comes will be epli-
ca ed. To ou knowledge, he e is no sys ema ic e iew
and me a-analysis ocusing on he e alua ion o e ec -
i eness and he de elopmen and epo o PE o in e -
en ions in heal h p og ams p e en ing obesi y and
T2DM in child en. The p esen e iew, aims o iden i y
he e ec i eness in e ms o body composi ion pa ame-
e s in a gene a ion o a icles o p e en obesi y and
T2DM in child en. We hypo hesise ha hose s udies
epo ing PE applying he la es implemen a ion guide-
lines sugges ed by he esea che s [19,20] would po en-
ially be mo e e ec i e in e ms o changes in body
composi ion compa ed o hose no epo ing i . Add-
i ionally, we will e alua e he implemen a ion deg ee o
PE in hose a icles conside ing i and desc ibe he PE
subcomponen s. Las ly, we aim o assess he in e en ion
a ge used and i s esul s.
Me hods
Li e a u e sea ch
A li e a u e e iew was pe o med in pa allel by 2 inde-
penden e iewe s and a hi d independen e iewe was
in ol ed when inconsis ency o disag eemen wi h he
selec ion o a icles was iden i ied. The p o ocol was de-
eloped acco ding o he p e e ed epo ing i ems o
sys ema ic e iews and me a-analysis (PRISMA) guide-
lines adap ed o he design o he p esen s udy [21].
Mo eo e , he sys ema ic li e a u e sea ch was egis e ed
on he In e na ional P ospec i e Regis e o Sys ema ic
Re iews (PROSPERO, egis a ion numbe :
CRD42018093667). An in-dep h sea ch o elec onic da-
abases was conduc ed in he PubMed, Scopus and
Embase. (Mesh®) e ms we e used du ing he sea ch
s a egy in PUBMED, based on medical subjec headings
and ex wo ds o pee pape s iden i ied. Sea ch e ms
and ex wo ds a e desc ibed in ull epo as ollows:
((((((“Diabe es Melli us, Type 2”[Mesh]) OR “Risk”[-
Mesh]) OR (“Obesi y”[Mesh] OR “Pedia ic Obesi y”[-
Mesh] OR “Obesi y, Abdominal”[Mesh] OR “Obesi y
Managemen ”[Mesh])) AND “Heal h Plan Implemen a-
ion”[Mesh]) OR (“p e en ion and con ol”[Subheading]
OR “P ima y P e en ion”[Mesh])) OR (“Ou come and
P ocess Assessmen (Heal h Ca e)”[Mesh] OR “P ocess
Assessmen (Heal h Ca e)”[Mesh])) AND “Body Compo-
si ion”[Mesh])))))). The e e ence lis s o all included pa-
pe s we e doublechecked o iden i y po en ial missing
a icles ha migh ha e been missed du ing he ini ial
sea ch. The ocus was on he s udies assessing he e ec -
i eness on changes in body composi ion: zBMI (body
mass index z sco e) and/o BMI (body mass index) and/
o wais ci cum e ence as well as he conside a ion o
any o he PE subcomponen s in he heal h p og am
in e en ion.
O he isk ac o s such as high and inc eased blood
p essu e, high and inc eased blood glucose le el, insulin
le el, a - ee mass, pe cen age o and oid mass and pe -
cen age obesi y a we e also conside ed in he selec ion
o a icles as seconda y ou comes. A icles we e also
conside ed i any o he p ima y ou comes we e e e ed
as seconda y ou come and ice e sa.
Da a ex ac ion and quali y assessmen
The sys ema ic selec ion p ocess was pe o med in 3
phases (Fig. 1). Final esul s a e p esen ed in he desc ip-
ion o pape s. The inclusion c i e ia we e 1) p esence o
obesi y and/o T2DM pa ame e s as p ima y o second-
a y ou comes, 2) die , physical ac i i y (PA) and beha -
io al suppo (BS) alone o combined wi h o he kind o
in e en ion, 3) popula ion child en age 6–12 yea s old,
4) w i en in English, 5) published om 2008 and 6) ex-
clusi ely andomized con ol ials. Any disc epancies
wi h he inclusion c i e ia be ween e iewe s was dis-
cussed o each a common inal consensus.
As a as exclusion c i e ia is conce ned i was ex-
cluded om he e iew 1) clinical popula ions (diso de s,
disabled, ins i u ionalized) o p esence o Type 1 dia-
be es melli us and o he ypes o diabe es (E.g. insulin-
dependen -diabe es, p egnancy diabe es, ges a ional dia-
be es), 2) no in e en ion applied, 3) child en younge
han 6 yea s and olde popula ions han 12 yea s old, 4)
no w o e in English language, 5) published be o e 2008
and 6) non andomized con ol ials and unpublished
s udies.
S udies we e classi ied depending on an es ablished
p ocess acco ding o he QUALYST (S anda d Quali y
Assessmen C i e ia o e alua ing p ima y esea ch pa-
pe s om a a ie y o ields) checklis o measu ing
quali y by 2 independen e iewe s. The men ioned
checklis has 14 ques ions which ha e o be answe ed
wi h “yes”,“pa ial”,“no”o “no applicable”depending
on he quali y o each a icle. The summa y sco e is he
o al o he accumula ed answe s ansc ibed in o a
numbe be ween 0 and 1 indica ing he quali y o each
publica ion, being 1 he highes possible esul . When
compa ing he me hodological sco e be ween he 2 e-
iewe s, a hi d e iewe in e ened in he e en o a nu-
me ical di e ence o mo e han 0.2 wi hin he same
publica ion e alua ed.
The Coch ane Collabo a ions Tool o assessing isk
o bias in andomized ials [22] and he Coch ane
Se al-Co es e al. BMC Public Heal h (2021) 21:348 Page 3 o 17
Fig. 1 PRISMA low cha o sea ch s a egy p ocess
Se al-Co es e al. BMC Public Heal h (2021) 21:348 Page 4 o 17
Handbook o Sys ema ic Re iews o In e en ions [23]
we e used o assess me hodological isk o bias o an-
domized con ol ials, which ecommend he explici
epo ing o he ollowing domains: andom sequence
gene a ion, alloca ion sequence concealmen , blinding
(pa icipan s and pe sonnel), blinding (ou come assess-
men ), comple eness o ou come da a, selec i e epo ing
and o he sou ces o bias. Each i em was gi en a sco e
as being a high, low o unclea isk o bias as pe c i-
e ia p o ided [23].
Me a-analysis
Wi hin included e iews, a me a-analysis o 30 s udies
epo ing BMI and 16 s udies epo ing zBMI in an
in e en ion popula ion e sus a compa a o popula ion
we e unde aken. Me a-analysis o subg oups acco ding
o PE epo ing was pe o med in o de o iden i y dis-
pa i ies in s udies be ween he 2 g oups including PE o
no and he epo o i s e ec i eness. Wi hin included
s udies o me a-analysis, G eening e al. [24] and Kala-
ainen e al. [25] we e no included on BMI and Lison
e al. [26] was no conside ed as no mee ing he inclu-
sion c i e ia o BMI and zBMI.
S anda dized mean di e ence was he app op ia e
me ic o he da a ype. The in e en ions compa ed
in me a-analysis we e changes in BMI and zBMI in
he in e en ion g oup e sus changes in BMI and
zBMI in he con ol g oup. Sub-g oup analysis we e
ca ied ou in each ou come s udying PE as ac o co-
a ia e o obse e po en ial di e ences be ween he
g oups implemen ing PE e sus hose no implemen -
ing i .
Da a on mean di e ence in BMI and zBMI be ween
in e en ion and compa a o g oups and s anda d de i-
a ion o he di e ence om s udies ha epo ed da a in
a compa able way we e analyzed in OpenMe aAnalys
so wa e using in e se a iance andom-e ec s me a-
analysis. Con inuous andom-e ec s De Simonian-Lai d
analysis we e selec ed o e lec di e en s udy g oups,
se ing, and age among he included s udies.
The con idence le el used was 95.0. I2 s a is ic was
used o assess he he e ogenei y o he s udies [23]. This
s a is ic explains he a iance wi hin s udies as a p opo -
ion o he o al a iance. < 25% alue showed low he -
e ogenei y, 25 o 50% alue showed mode a e
he e ogenei y, > 50 o 75% alue showed high he e ogen-
ei y and > 75% alue indica ed e y high he e ogenei y.
Associa ed p- alues we e also displayed, and signi icance
le el was se a p< 0.05, showing he e ogenei y when p-
alues we e below 0.05.
P ocess e alua ion indica o s and c i e ia
The p esen sys ema ic e iew has e alua ed he PE
implemen a ion based on he guidelines p o ided by
Saunde s e al. [19] and Moo e e al. [20]. In sho ,
bo h guidelines sha e he ele ance o assessing idel-
i y, dose and each indica o s. Saunde s e al. p o ides
a mo e de ailed lis o indica o s and i s use, consid-
e ing ec ui men and con ex and 2 dose ca ego ies
(deli e ed and ecei ed). Moo e e al. desc ibed a
amewo k o PE buil on 3 hemes desc ibed in he
2008 MRC guidance (implemen a ion, mechanisms
and con ex ) [27]. When applying he c i e ia o hese
guidelines in ou a icles, we obse ed ha ideli y
was conside ed mainly om he ca egi e s eedback
o assess he ex en o he in e en ion implemen a-
ion acco ding o he ini ial s udy p og am; mo eo e ,
dose was epo ed o see he mode o he p og am
deli e y in e ms o aining, in e en ion compo-
nen s, ma e ials and con en h ough con ol sessions
om he s a (deli e ed), and also in e ms o use
and eac ion o child en and pa en s o he ac i i ies
deli e ed h ough ques ionnai es ( ecei ed). Finally,
each e alua ed he pa icipan s a endance and o as-
sess he p og am’s e ec on he a ge ed g oup, also
h ough ques ionnai es. Howe e , he e migh be di -
e en e ec s depending on which con ex he in e -
en ion is pe o med.
Resul s
Desc ip ion o pape s
The selec ion p ocess is displayed in Fig. 1. In summa y,
he sc eening p ocess was di ided in 3 s ages: iden i ica-
ion, eligibili y and inclusion. Fi s , a e dele ing 24 du-
plica es, iden i ica ion s age le 273 a icles o
inclusion. A e i le and abs ac sc eening, 46 a icles
we e included. Finally, he inclusion s age showed, a e
ull ex eading, a inal 41 (15%) a icles [24–26,28–65]
which main cha ac e is ics a e summa ized in Table 1.
F om he selec ed a icles, 39 o hem ocused on obesi y
and 2 a icles on T2DM, al hough 7 a icles om obesi y
included glucose and insulin le els in hei main e-
sea ch pa ame e s.
E ec i eness in body composi ion pa ame e s
Table 2shows he e ec i e pa ame e s whe e some
deg ee o imp o emen was epo ed. The analysis
shows 26/41 (63%) s udies epo ed o be e ec i e;
F om hose 26 e ec i e a icles, 3/26 (11%) included
PE in hei in e en ions, meaning ha , a leas , 1
o he PE subcomponen s has been used and e-
po ed as pa o he PE implemen a ion. The mos
epea ed s udied ou comes when epo ing e ec i e-
ness we e BMI and zBMI alone (12/26) o combined
o one ano he o wi h o he body composi ion pa-
ame e s (9/26). Tha is 81% o he o al e ec i e
a icles.
Se al-Co es e al. BMC Public Heal h (2021) 21:348 Page 5 o 17

Table 1 Main cha ac e is ics o he included s udies
Au ho /Yea Coun y Sample
Size
Gende Mean
Age
Se ing In e en ion
du a ion
C oke e al. 2012 [28] UK 72 No epo ed 10.3 ± 1.6 Hospi al 12 mon hs
Danielsen e al. 2011 [29] No way 49 24 male; 25 emale 10.6 ± 1.2 Family based/p ima y ca e 12 mon hs
Da is e al. 2012 [30] USA 222 93 male; 129 emale 9.4 ± 1.1 School 10–15 weeks
Ea he e al. 2013 [31] Aus alia 213 108 male; 105 emale 10.7 ± 0.6 School 8 weeks
Elde e al. 2013 [32] UK 541 243 male; 298 emale 6.6 ± 0.7 Rec ea ion Cen e 2 yea s
Foley e al. 2016 [33] New Zealand 251 142 male; 109 emale 11.25 Family based/Home 6 mon hs
Ge a ds e al. 2015 [34] Ne he lands 86 38 male; 48 emale 7.2 ± 1.4 School 14 weeks
Hollis e al. 2016 [35] Aus alia 1150 male 543; emale 583 12.0 School 24 mon hs
Jones e al. 2015 [36] Aus alia 37 male 20; emale 17 9.7 ± 0.8 School 7 mon hs
Kala chian e al. 2009 [37] USA 192 83 male; 109 emale 10.2 ± 1.2 Medical Cen e 18 mon hs
Ko acs e al. 2009 [38] Hunga y 51 23 male; 28 emale 9.9 ± 1.3 School 15 weeks
La sen e al. 2016 [39] Denma k 115 51 male; 64 emale 12.0 ± 0.4 Day camp 1 yea
Li e al. 2010 [40] China 4700 2242 emale; 2458 male 9.3 ± 0.7 School 2 yea s
Lison e al. 2012 [26] Spain 110 no epo ed 11.9 ± 2.2 Hospi al 6 mon hs
Maddison e al. 2011 [41] New Zealand 322 male 235; emale 87 11.6 ± 1.1 School 6 mon hs
Maddison e al. 2012 [42] New Zealand 322 male 235; emale 87 11.6 ± 1.1 School 24 weeks
Maddison e al. 2014 [43] New Zealand 251 male 142; 109 emale 11.2 School/Communi y cen e 24 weeks
Magnusson e al. 2012 [44] Iceland 321 173 male; emale 148 7.3 ± 0.3 School 2 yea
Mon ei o e al. 2015 [45] B azil 32 16 emale; 18 male 11.0 ± 1.5 Family based/Communi y 20 weeks
Neme e al. 2008 [46] Is ael 22 14 emales; 8 males 10.2 ± 0.5 Heal h cen e and nu i ional clinic 3 mon hs
Neme e al. 2011 [47] Is ael 795 437 male; 358 emale 5.2 ± 0.3 Kinde ga ens 12 weeks
Nowicka e al. 2009 [48] Sweden 76 40 male; 36 emale 10.5 Obesi y Clinic 6 mon hs
Sa die e al. 2013 [49] Mexico 830 415 male; 415 emale 9.7 ± 0.7 School 18 mon hs
Simon e al. 2008 [51] F ance 954 527 males; 527 emale 11.7 ± 0.7 School 4 yea s
Sighn e al. 2009 [50] Ne he lands 1108 549 male, 559 emale 12.7 School 20 mon h
Wa e s e al. 2018 [52] Aus alia 2965 No epo ed 8.5 School 3.5 yea s
Williamson e al. 2012 [53] USA 2060 male 854; Female 1206 10.5 ± 1.2 School 28 mon hs
Yackobo i ch Ga an e al. 2009 [54] Is ael 162 81 male; 81 emale 8.3 ± 1.6 Medical Cen e 12 weeks
Yin e al. 2012 [55] USA 574 270 male; 304 emale 8.7 ± 0.5 School 3 yea s
Casazza e al. 2012 [56] USA 26 26 emale 12.4 ± 0.3 Family based 16 weeks
Copeland e al. 2013 [57] USA 699 No epo ed 13.5 No epo ed 24 mon hs
G eening e al. 2011 [24] USA 450 234 male; 216 emale 8.34 ± 1.3 School 9 mon hs
Gu in e al. 2008 [58] USA 206 97 male; 109 emale 8.5 ± −0.6 School 3 yea
Johns on e al. 2009 [59] USA 60 33 male; 27 emale 12.3 ± 0.7 School 2 yea s
Kala ainen e al. 2011 [25] Finland 70 28 male; 42 emale 8.1 ± 0.8 Family o ien ed 6 mon hs
Khan e al. 2014 [60] USA 220 117 male; 103 emale 8.8 ± 0.5 School 9 mon h
Lau e al. 2014 [61] Hong Kong 48 36 male; 12 emale 10.4 ± 0.9 School 6 weeks
Meye e al. 2014 [62] Swi ze land 289 153 male; 136 emale 10.6 ± 0.3 School 3 yea
Ma ild e al. 2012 [63] Sweden 66 28 male; 38 emale 10.8 ± 1.1 School 12 mon h
Rush e al. 2011 [64] New Zealand 1348 686 male; 662 emale 7.5 School 2 yea s
Velazquez Lopez e al. 2014 [65] Mexico 49 23 male; 26 emale 11.2 ± 2.7 Family medicine Uni 16 weeks
Se al-Co es e al. BMC Public Heal h (2021) 21:348 Page 6 o 17
Table 2 Type o in e en ion applied, s udied ou come and e ec i eness
In e en ion applied S udied Ou come E ec i e E ec i e Ou come
PA,D and BS PA and BS PA and D D and BS D PA BS
C oke e al. 2012 [28]√BMI, WC, %BF X
Danielsen e al. 2011 [29]√BMI √BMI
Da is e al. 2012 [30]√zBMI, %BF, BG, IL √zBMI, %BF, BG, IL
Ea he e al. 2013 [31]√zBMI, BMI √zBMI, BMI
Elde e al. 2013 [32]√zBMI,BMI,WC,%BF X
Foley e al. 2016 [33]√zBMI,BMI X
Ge a ds e al. 2015 [34]√zBMI,WC X
Hollis e al. 2016 [35]√zBMI,BMI √zBMI,BMI
Jones e al. 2015 [36]√zBMI,BMI,WC,%BF √zBMI,BMI,WC,%BF
Kala chian e al. 2009 [37]√BMI,WC √BMI, WC
Ko acs e al. 2009 [38]√BMI,WC,BP √BMI,WC,BP
La sen e al. 2016 [39]√zBMI,BMI,WC,BG √zBMI,BMI,WC BG
Li e al. 2010 [40]√zBMI,BMI,%BF √zBMI,BMI,%BF
Lison e al. 2012 [26]√zBMI,BMI,WC,%BF √zBMI,BMI, WC, %BF
Maddison e al. 2011 [41]√zBMI,BMI,WC,%BF √zBMI,BMI,WC,%BF
Maddison e al. 2012 [42]√BMI,%BF √BMI,%BF
Maddison e al. 2014 [43]√zBMI,BMI,WC,%BF X
Magnusson e al. 2012 [44]√BMI,WC,%BF X
Mon ei o e al. 2015 [45]√%BF,FFM,%AF √%BF,FFM;%AF
Neme e al. 2008 [46]√BMI,%BF √BMI, %BF
Neme e al. 2011 [47]√BMI X
Nowicka e al. 2009 [48]√zBMI,BMI X
Sa die e al. 2013 [49]√BMI √BMI
Simon e al. 2008 [51]√BMI √BMI
Sighn e al. 2009 [50]√BMI,WC X
Wa e s e al. 2018 [52]√zBMI,BMI X
Williamson e al. 2012 [53]√zBMI,%BF √%BF
Yackobo i ch Ga an e al. 2009 [54]√BMI,%BF √BMI,%BF
Yin e al. 2012 [55]√%BF √%BF
Casazza e al. 2012 [56]√zBMI,BMI,%BF,BG X
Copeland e al. 2013 [57]√BMI,WC,%BF X
G eening e al. 2011 [24]√BMI,WC,%BF √BMI,%BF
Gu in e al. 2008 [58]√%BF √%BF
Johns on e al. 2009 [59]√zBMI,BMI √zBMI,BMI
Kala ainen e al. 2011 [25]√BMI, WC √BMI,WC
Khan e al. 2014 [60]√zBMI,BMI,%BF √zBMI,BMI,%BF
Lau e al. 2014 [61]√BMI X
Meye e al. 2014 [62]√%BF X
Ma ild e al. 2012 [63]√BMI √BMI
Rush e al. 2011 [64]√BMI,%BF,BP X
Velazquez Lopez e al. 2014 [65]√BMI,%BF,BG √BMI,%BF,BG
*BMI body mass index, *BP Blood p essu e, *BG Blood glucose, *FFM a - ee mass, *IL insulin le els, *WC wais ci cum e ence *%BF pe cen age o body
a , *%AF pe cen age o and oid a
Se al-Co es e al. BMC Public Heal h (2021) 21:348 Page 7 o 17
zBMI and BMI me a-analysis and sub-g oups analysis
conside ing PE
Figu e 2shows he o e all s udy esul s and plo he glo-
bal e ec o changes in BMI. Figu e 3shows he sub-
g oup s udies acco ding o he pe o mance o PE. Fig-
u es 4and 5show he same o e all and sub-g oup ana-
lysis, in his case, wi h zBMI. Me a-analysis o he 30
s udies which epo ed changes om baseline o ollow
up in BMI ound non-signi ican e ec s be ween con ol
and in e en ion g oups (O e all mean di e ence in
BMI: −0.055; 95% CI, −0.116 o 0.006). The esul s
main ained he e y high he e ogenei y in BMI s udies
(I2 = 90.27%, p< 0.001). Sub-g oup analysis o zBMI e-
sul s showed signi icance when compa ing s udies in-
cluding PE (−0.301 (−0.531, −0.071)) e sus no PE
(0.064 (−0.086, 0.214)). He e ogenei y wi hin s udies
was e y high (I2=. 90.27%; p< 0.001). Me a-analysis o
he 16 s udies which epo ed changes om baseline o
ollow up in zBMI ound non-signi ican e ec be ween
s udies (O e all mean di e ence in zBMI: −0.055; 95%
CI, −0.116 o 0.006). He e ogenei y among s udies was
high (I2 = 61.18%, p< 0.001). The sub- g oup analysis e-
sul s e ealed non-signi ican di e ences in PE (No PE:
−0.038 (−0.097, 0.021); PE -0.115 (−0.361, −0.132). In
sub-g oup analysis, he esul s main ained he high he -
e ogenei y in he PE s udies (sub-g oup No PE: I2 =
56.23%, p= 0.009; sub-g oup PE: I2 = 75.77%, p= 0.006).
P ocess e alua ion inclusion and indica o s desc ip ion
In he p esen e iew all indica o s ha e been examined
and displayed in Table 3. PE was included in 17% o he
s udies (7/41). Fideli y and sa is ac ion in 4/7 (57%) s ud-
ies we e he indica o s conside ed he mos , ollowed by
dose 3/7 (43%), each 2/7 (29%) and ec ui men 1/7
(13%) espec i ely.
We also analysed how he PE indica o s we e p e-
sen ed in each pape . Ea he e al. [31] epo edPE
in a sepa a e pa ag aph wi hin he me hods sec ion
Fig. 2 Fo es plo o he o e all s udies using BMI
Se al-Co es e al. BMC Public Heal h (2021) 21:348 Page 8 o 17
and ocused on in e en ion wo ke s and pa en s e-
c ui men , e en ion, adhe ence and sa is ac ion by
comple ing e alua ion ques ionnai es by eache s and
s uden s. Rec ui men and e en ion we e again e al-
ua ed sepa a ely wi h no signi ican di e ences be-
ween s udy g oups. Elde e al. [32] desc ibed PE in
hei me hodology, examining p ocess da a associa ed
o in e en ion ideli y wi h di e en ideli y mea-
su es o each amily: “ abula ions o he numbe
and ypes o con ac s comple ed”and desc ibes i in
a able wi h no u he men ion. Foley e al. [33]
conside ed PE h oughou he a icle and akes on a
comp ehensi e analysis o a gene al implemen a ion
o PE. They ocused on PE in e en ion a 3 le els
(“ om in es iga i e eam o communi y wo ke ,
om communi y wo ke o p ima y ca egi e and
om p ima y ca e gi e o child”). Dose and sa is ac-
ion we e assessed by in e iew wi h he communi y
wo ke s which conclusions h ow ha i was a “poo
up ake o in e en ion componen s, and weak e i-
cacy o he in e en ion i sel ”. Ge a ds e al. [34]
amed PE in hei esul s. Fi s , hey measu ed pa -
en al a endance in he g oup and elephone sessions
and added PE ques ions in he 4-mon h ques ion-
nai e. Then, he pa icipa ing pa en s comple ed a
sa is ac ion ques ionnai e. The epo s showed a
“high each as majo i y o lessons which we e
planned ac ually ook place and he pa en s who did
isi a leas one g oup session, 81% (pa en s o 25
child en) we e p esen a 5 o mo e sessions”and
pa en s had a good imp ession o he p og am and
a ed i on 7.7 on a 10-poin scale. Maddison e al.
[43] epo ed ideli y sepa a ely o PE in he me hods
sec ion. Fideli y was assessed by moni o ing he ses-
sions pe o med by a esea che om he communi y
wo ke s wi h eedback o ensu e all componen s
we e deli e ed. P ima y ca egi e s also comple ed a
su ey o de e mine hei pe cep ions o he
Fig. 3 Fo es plo o p ocess e alua ion on s udies using BMI. Subg oup A No p ocess e alua ion; Subg oup B P ocess e alua ion
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