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. 2022 Mar 30;4:69. Originally published 2021 Jul 5. [Version 3] doi: 10.12688/hrbopenres.13326.3

Table 3. Final articles used.

No Article No of Parts. Study Focus Assessment type Measurement
device
Sedentary or
(in)activity
Country Age Gender Level of ID
1 Temple & Walkley, 2003. 37 Concurrence of accelerometer
readings of PA and proxy generated
estimates of PA via diary recordings
Staff completed Bouchard 3day
activity record (which has 9 point
scale) and accelerometer worn for the
3 days of this diary completion
Caltrac accelerometer PA Australia N/A 18 women,
19 men
Mild to Mod
2 Temple, 2007. 37 Examine relationships between
doing PA/sedentary behaviour &
factors consistent with behavioural
choice theory enjoyment, preference
and barriers
Pedometer Yamax Digi walker
SW-700
PA USA 18-52 yrs. 18 men,
19 women
Not specified
3 Peterson et al., 2008. 131 Aim to objectively monitor steps
accrued by sample of 131 adults
with ID and describe patterns across
day and week
Steps via pedometer Omron pedometer
HJ-700IT, worn for
7 days
PA US (IOWA) Mean age of 37.2
yrs (18 -60 yrs)
51.9%
female
73 mild, 41 mod,
17 unknown,
28 DS
4 Finlayson et al., 2011. 62. 41 worn
activity
monitor for
at least
5 days
Aim of study is to measure the levels
and patterns of activity of adults with
ID to inform design of studies aimed
at increasing activity and health in
this population
Self-report and activity monitor ActivPal. Interview
before and after 7 day
period
Both UK,
Scotland
Mean age 37.1
(Range 18-66)
27 males,
35 females
Mild to mod
5 Matthews et al., 2011. 45 To assess level of agreement
between accelerometer and proxy-
respondent questionnaire (IPAQ
short version). Obese focus
IPAQ and accelerometer. Wore device
for 7 consecutive days. Kept diary of
non-wear times
Actigraph GT1M Both Scotland,
UK
Mean age = 48.3
years (23-72)
17 male,
28 female
30 mild/mod 15
severe
6 Hilgenkamp et al., 2012. 257 (out of
group of
1050)
Measure the physical activity levels
of older (50+) adults with ID
Pedometer. Caregiver was instructed
to record the no of steps, distance
and activity in minutes in a diary every
evening. Worn for 14 days
NL-1000 pedometer.
Said to take reliable
measurements at
walking speed of >=
3.2km/hr
PA Holland 50+ years. 50-59:
146 60-69:83, 70-
79:25, 80-89:3
133 men,
124 female
Borderline-11,
mild-88, mod-143,
severe-10, prof-0,
unknown -5
7 Bergström et al., 2013. 130 To improve diet and PA by a 3
way complex approach using
Social Cognitive Theory, targeting
caregivers and residences
Average No of steps per day (3 valid
days min). Results of 500 steps per
day or less were discounted as being
inaccurate. Steps taken each day
were recorded each evening.
Keep walking LS2000 PA (by
pedometry)
Sweden 20-66 years 74 women,
56 men
Mild & mod
8 Dixon-Ibarra et al., 2013. 109 To examine the physical activity
patterns of older adults with ID
compared with younger adults with
ID and older adults without ID
Pedometers and accelerometers GT1M actigraph
accelerometer and
Omron HJ 720ITC
Pedometer
Both. Sed
classed as when
accelerometer
registers <100
counts/min
USA Mean age adults
w/ID= 32.34
mean age older
adults w/ID=
57.87
48 = male,
36 =
female.
Mild to mod ID.
20 had Down
Syndrome
9 McKeon et al., 2013. 17 Pilot study to test 2 instruments
used to measure PA of men with ID
prior to use in larger study
IPAQ & Sensewear armband Sensewear armband
worn for 7 days all
the time except when
washing or swimming
PA Ireland Mean age 42
years. 19-39 yrs =
5 40-59= 12
17 men 6 mild, 2 mod, 9
severe & profound
10 Fitz Gerald & Hahn, 2014. 17 Determine if self-report health
status influences physical activity
PAM for objective measurement
of activity. Reported by interview
the exercise and activity inventory
reporting of activities, types and
frequency per week
Personal activity
monitor (PAM)
PA but did
capture hours
SB/day
USA (LA) 18 to 59yrs.
Mean age men=
33.9yrs Mean age
women= 35.7 yrs
10 male, 7
female
Not specified
11 Johnson et al., 2014. 37 To examine evidence of convergent
and discriminant validity for
self-report with assistance from
secondary source as a measure of
PA in adults with ID
NHANES III PA survey and Actiwatch
accelerometer and Omron HJ-112
pedometer
NHANES III PA
survey and Actiwatch
accelerometer
and Omron
HJ-112 pedometer
PA US 19-74 years 21
females,
16 males
Not specified. 11
had DS
12 Hsieh et al., 2015. 4282 Examine (1) the impact of three
adulthood stages– younger (20–39
years), middle (40–59 years), and
older (60 years and older) on BMI
& PA, (2) the relationship between
social-environmental context (i.e.,
residence type, everyday choices,
and community participation) and
BMI and PA
Question on a questionnaire None. Single question
on a questionnaire
Inactivity USA 20+ yrs 56.6%
male,
43.4%
female
42% mild, 30.1%
mod, 15% severe,
12.8% profound
13 Melville et al., 2015 102 Examine effectiveness of walking
intervention to reduce SB and
increase PA.
Accelerometer Actigraph GT3X. Min
data was 3 days from
7, with minimum 6
hours data on it
PA Scotland Mean age in
walk well group=
44.9yrs (SD 13.5).
In control =
47.7yrs (SD 12.3)
45
females,
57 male
58 mild, 35
moderate, 8
severe
14 Carlson, 2016. 17 To examine if there is a relationship
between PA and physical functioning
in adults with DS
PA levels assessed by wear of
accelerometer for 7 days. Compared
to the results of physical functioning
tests. Sedentary behaviour classified
as any movement <100 hz. Daily
sedentary value determined by
subtracting the sleep time of each
participant. Time spent watching TV
(called media time) was recorded with
the health history questionnaire.
Triaxial accelerometer
(GT3X+, Actigraph,
Pensacola, FL)
Both USA Mean age 33
years +/-15yrs
8 women,
9 men
Down syndrome
15 Hsieh et al., 2017 1618 Investigated the prevalence of
reported low levels of PA and hours
spent watching TV
Mixed methods, Mail and online
survey for data collection
Survey SB (TV viewing) US Mean age 37.67
yrs (18 to 86 yrs)
893 men,
725
women
52.4% mild/mod,
12.4% borderline
8.2% severe or
profound
16 Oviedo et al., 2017. 84 Sedentary behaviour and physical
activity
Accelerometer data over 4 days/week
with min of 10hr/day wear
Actigraph GT3X Spain
Catalonia
44 +/-12 years 49 male,
35 female
30 mild, 34 mod,
28 severe
17 Chow et al., 2018. 67 Describes the habitual daily physical
activity (PA) and the health-related
physical fitness (PF) of adults with
mild and moderate ID.Secondary
focus is determine health-related PF
components explain the variance in
PA levels and SB
Device worn all waking hours except
for bathing and bedtime. Wore for
at least 5 consecutive weekdays. Not
worn on weekends. Used Freedson to
categorise activity types, MVPA>1951
counts/min, Sedentary <100 counts/
min and light intensity was classed as
in between
WGT3X-BT Activity
Monitor; Actigraph
LLC
PA Hong
Kong
Mean 41.7 yrs.
18-64 yrs
71 males,
43 females
Mild & mod ID
18 Melville et al, 2018. 725 SB prevalence and correlates Demographic and health data
collected during a structured
interview and physical examination.
Screen time is measure of SB
Question ' on average
how many hours do
you spend watching
TV, DVDs, videos or
on a PC? Response
used 9point scale:
none, 1-3hrs/ month,
1 hr/ week,2-4hrs/
week, 5-6hrs/ week,
1hr/day, 2-3hrs/ day,
4-5hrs/ day or 6+hrs/
day
SB (screen time) Scotland,
UK
Mean age = 43.6
yrs (18-90 yrs)
55% men
(399), 45%
women
(326)
258 mild, 192
mod, 130 severe,
145 profound
19 Moss & Czyz, 2018. 58 Determine level of agreement
between objectively measured
Actiheart and IPAQ
Actiheart monitors for 7 days, only
removing for bathing. Caregivers
completed IPAQ-S
Actiheart activity
monitor. Measures
and calculates
activity energy
expenditure based
on accelerometry
and heart rate
measurements
Both South
Africa (NW
province)
39.6 years +/-9.1 28 female
& 28 male
Mod to mild
20 Woods et al., 2018. 19 Determine associations between
body composition, diet, PA and
timed walk for adults with PWS
Accelerometer worn for upto 7 days.
Goal was min of 4 days.
ActivPal
accelerometer.
PA USA
Oklahoma
18-62 years 11 male, 8
female
Not specified
21 Harris et al., 2019. 143 Investigate the patterns of
objectively measured sedentary
behaviour in adults with ID
Sedentary behaviour variables output
from accelerometer
actiGraph GT3X +
accelerometer
SB Scotland 54 < 45yrs, 86 >
45yrs
69 male,
74 female
69 mild, 51
moderate, 18
severe, 4 profound
22 Oviedo et al., 2019. 97. 37 from
active group,
29 non-
active, 31
no ID
Objective investigation of PA levels
and sedentary behaviour in groups
of adults with ID and without
Accelerometer. Needed to be worn
for >10hrs/day for 4 days/week
Actigraph GT3X Both Spain 43+/-12 years
(20-60 years)
51 male,
41 female
18 mild to 48 mod
23 Tyrer et al., 2019 920 Determine prevalence of
multimorbidity in adults with ID and
identify risk factors
Cross-sectional analysis Data analysis Both UK Mean age 42.9
yrs (18-74yrs)
530 male,
390 female
259 mild, 243
mod, 310 severe/
profound
24 Bellicha et al., 2020. 10 To objectively quantify spontaneous
PA in adult patients with Prader-willi
syndrome
Habitual PA. wear an accelerometer
for 7 consecutive days during waking
hours but not water based activity
(3 valid days min with wear time of 8
hours per day). Freedson cutoffs used
for sedentary behaviour
Tri‐axial GT3x
Actigraph
accelerometer
PA France 18-60 years 10 females Not specified
25 Ghosh, 2020. 52 To examine levels and patterns of SB
in adults with ID
Accelerometer data. Attached to
waist during waking hours. Valid
accelerometer data was >= 10 hours/
day for 4 days including at least 3
weekdays & 1 weekend day
WGT3X-BT
accelerometer
(ActiGraph, Pensacola,
FL) and data obtained
using ActiLife 6
Software v.6.13.4.
SB. SB time
as time spent
below a
threshold of <
100 cpm
US 20-79 years.
Median 48
25 men, 27
women
4 men & 6 women
had DS, 1 cerebral
palsy. 5.8% severe
ID. Rest mild to
mod