|
Indian Pediatr 2020;57: 707-711 |
 |
Reliability and Validity of a Physical
Activity Questionnaire for Indian Children and Adolescents
|
TS Mehreen1,
Harish Ranjani1,
C Anitha1,
N Jagannathan1,
Michael Pratt2,
Viswanathan Mohan1
and
Ranjit Mohan Anjana1
From 1Madras Diabetes Research Foundation and
Dr. Mohan’s Diabetes Specialities Centre, Chennai, Tamil
Nadu, India; and 2Hubert Department of Global
Health, Rollins School of Public Health, Emory University,
Atlanta, Georgia, United States.
Correspondence to: Dr RM Anjana, Managing Director
and Consultant Diabetologist, Dr Mohan’s Diabetes
Specialities Centre, WHO Collaborating Centre for
Non-Communicable Diseases Prevention and Control, IDF Centre
for Education and ICMR Advanced Centre for Genomics of
Diabetes, No. 6B, Conran Smith Road, Gopalapuram, Chennai,
India. [email protected]
Submitted: April 08, 2019;
Initial review: July 29, 2019;
Accepted: March 11, 2020.
Published online: June 12, 2020;
PII: S097475591600195
|
Background: In low- and middle-income countries,
sedentary behavior is widely prevalent in the young.
Reliable and valid instruments are essential for evaluating
sedentary behavior and physical activity in children and
adolescents.
Objective: To evaluate the
reliability and validity of an easy to use physical activity
questionnaire for children and adolescents from India.
Study design: Evaluation of a
questionnaire tool.
Participants: 104 children and
adolescents belonging to the age group of 10-17 years were
selected using a purposive sampling technique.
Methods: The Madras Diabetes Research
Foundation - Physical Activity Questionnaire for Children
and Adolescents [MPAQ(c)] was used to assess the various
dimensions of physical activity. Physical activity was also
objectively assessed using accelerometer worn around the
waist for five complete days. The baseline administration of
MPAQ(c) was done between November and December, 2017.
Reliability of MPAQ was assessed by repeat administration
after 2 weeks for upto a month later. Validity of
MPAQ(c) was measured against accelerometer using Spearman’s
correlation and Bland and Altman agreements.
Results: Test-retest reliability of
the questionnaire revealed good agreement (ICC: 0.77
min/wk). Correlation coefficients (95% CI) for sedentary
behavior and moderate to vigorous physical activity for
MPAQ(c) against accelerometer were 0.52 (0.36, 0.64) and
0.41 (0.23, 0.55), respectively indicating moderate
correlation. Good agreement was present between MPAQ(c) and
accelerometer for sedentary behavior [mean bias = -4.9 (±2SD
-197.1 to 187.3) min/d].
Conclusion: MPAQ(c) is a valid and
reliable instrument for evaluating physical activity in
Indian children aged 10-17 years.
Keywords: Accelerometry, Assessment, Obesity,
Sedentary, Self-reported.
|
P hysical activity (PA) is defined as
any bodily movement produced by skeletal muscles that
results in energy expenditure [1]. Approximately 38% of
children in India between the ages of 13 to 15 years meet
the recommended PA levels [2]. Reliable and valid
instruments for evaluating PA in children are essential for
monitoring and surveillance of PA levels in the population
[3]. Objective tools like accelerometers quantify total PA
well and are easy to use [4]. However, the use of
accelerometers in large surveillance studies may be limited
due to time and cost considerations [5,6].
A questionnaire as an assessment tool is
acceptable, easy, practical and feasible for analyzing PA in
children and adolescents in a developing country like India.
PA questionnaires help gather qualitative information about
the type, location and circumstances of activity that the
individual engages in [7]. Hence, we developed a PA
questionnaire called the Madras Diabetes Research Foundation
– Physical Activity Questionnaire for Children and
Adolescents [MPAQ(c)], which would be acceptable and easy to
use for surveillance studies on children and adolescents
aged 10 to 17 years in a developing country like India. The
objective of research reported in this paper was to evaluate
the reliability and validity of this questionnaire against
objectively collected accelerometer data.
METHODS
Children and adolescents belonging to the
age group of 10-17 years from Chennai, Tamil Nadu, India
were recruited. Participants were selected from 74 areas
across the 15 zones of urban and rural areas of Chennai.
Heterogeneity of the sampling framework was maintained
throughout the recruitment procedure by randomly recruiting
participants from schools, and known households in the
selected areas by door-to-door recruitment. A purposive
sampling technique was used to select equal number of boys
and girls across two age groups (10 to 14 and 15 to 17
years). For all participants, written informed consent from
parents with the assent from the child were obtained before
the start of the study. The Institutional Ethics Committee
at Madras Diabetes Research Foundation approved the study
protocol.
Anthropometric measurements and blood
pressure were recorded using standard techniques. Height was
measured using a stadiometer (SECA Model 213, Seca Gmbh Co,
Hamburg, Germany) to the nearest 0.1cm. Weight was measured
using a digital weighing scale (Tanita BC – 601, Tanita
Corp., Japan) and recorded to the nearest 0.1 kg. Body mass
index (BMI) was calculated as per standard formula. Waist
circumference was measured in centimetres using a
non-stretchable fiber measuring tape. Blood pressure and
pulse was recorded in a rested sitting posi-tion in the
right arm using a digital machine (Omron Corp., Tokyo,
Japan) and rounded off to the nearest 2 mm Hg.
Madras Diabetes Research Foundation –
Physical Activity Questionnaire for Children and Adolescents
[MPAQ(c)]: This questionnaire has been developed
from a PA questionnaire called the Madras Diabetes Research
Foundation - Physical Activity Questionnaire [Adult version,
MPAQ(a)], which was developed to assess PA levels in Asian
Indian adults [9]. The questionnaire captures various
dimensions of PA based on habitual and culturally relevant
activities for upto a year.
The physical activity of children and
adolescents can be generally divided into two main
categories – school related activities and non-school
related PA. The MPAQ(c) questionnaire was developed and
validated in the English language. The questionnaire
consists of 74 multiple choice questions presented in a
ten-page survey form (Web Appendix I).
Participants were asked to recall information about
activities undertaken in the following domains: at
school/college, transport, activities of daily living,
leisure and vacation/holiday time activity. For each
activity, the average amount of time spent on the activity
and frequency (daily/week/month/year) were documented. Thus
intensity, duration and frequency data were collected and
weekday versus weekend analysis were made possible.
The results from MPAQ(c) were tabulated based on the type of
activity viz, sedentary and moderate-to-vigorous
physical activity (MVPA).
Accelerometry: Participants had the
accelerometer worn on a belt around their waist for five
complete days (4 weekdays and 1 weekend) during waking
hours; however, the device was allowed to be removed while
bathing, swimming and sleeping. Moderate to vigorous
physical activity was objectively assessed using the
Actigraph (Actilife 5) GT3X+ Triaxial Accelerometer (Actigraph,
Pensacola, Florida, USA) [10,11]. The device was worn on the
hip of the dominant side (right in most cases). The
accelerometers were initialized to monitor and record data
in 60-second ‘epochs’ as ‘activity counts’ and sample
frequency at 100 Hz. While initializing, each device was
given a unique number denoting the individual participant
with their age, gender, height, weight, date of birth and
race. The GT3X+ device collects data from all three axis of
movement regardless of the configuration, with Axis 1
collecting the vertical axis acceleration activity data,
Axis 2 the horizontal axis data and Axis 3 the perpendicular
axis data.
The baseline administration of MPAQ(c)
was done between November and December, 2017. This was
followed by a repeat administration after 2 weeks (average
of 2-4 weeks) for upto a month later for assessing
reliability.
For assessing relative validity, the
MPAQ(c) was administered in a random order by trained
researchers. The sample was chosen to get individuals across
a wide age range, both genders and all categories of
activity. The duration (minutes per day) spent in different
intensity activities was calculated based on the coding
scheme provided by Compendium of Physical Activities that
describes the energy costs in terms of METs for various
activities in children and adolescents aged 6 to 17.9 years
[12,13]. The MPAQ(c) was administered anytime during the
period the participant was wearing the accelerometer. Data
from the MPAQ(c) was computed for a typical day, and then
converted to minutes/day to make comparisons with the
accelerometer data more realistic.
For content validity, the MPAQ(c) was
evaluated by expert committee members at Madras Diabetes
Research Foundation (MDRF). At first, the questions from
MPAQ(a) were modified to suit the age group of children and
adolescents. For instance, the work domain in adult
questionnaire was replaced with school domain, and seasonal
activity in adults was substituted with vacation for
children and adolescents. Questions concerning sport
activities in school and during weekends, lunch and snack
break timings were found to be highly relevant. The experts
evaluated the items in the questionnaire based on the
content validity index (CVI), such that 1 was unsatisfactory
and 4 was very satisfactory. The mean score of MPAQ(c) was
3.67 with a CVI of 0.92. The MPAQ (c) was considered to be
suitable to be used by researchers to assess physical
activity and sedentary behavior in the age group of 10 to 17
years.
Being an interviewer-administered
questionnaire, inter-rater reliability was measured to
assess the agreement between the interviewers. One
interviewer administered the questionnaire to the
participant while the other interviewer passively observed
and rated participant’s response independently. This
procedure was completed for a total of 30 participants by
two interviewers who collected the questionnaires. A kappa
value of 0.82 indicated good agreement among the
interviewers.
Statistical analyses: Statistical
analyses were performed using SAS (Statistical Analysis
System) statistical package version 9.0 (SAS Institute Inc.,
Cary, NC). Shapiro-Wilks test was used to determine the
normality of data. Mann-Whitney U test was used for those
variables which deviated from normal distribution.
Reliability of the MPAQ(c) was examined by calculating the
intra-class correlation (ICC) of the activities reported by
age and gender. ICC values of <0.40 were considered as poor
agreement, 0.40-0.59 as fair, 0.60-0.74 as good and
0.75-1.00 as excellent agreement [14]. For assessing
criterion validity, the MPAQ(c) was compared next to the
triaxial accelerometer as a criterion. Spearman correlation
coefficients and 95% CI were used for comparisons. Total
duration (min/d) of time spent in sedentary and
moderate-vigorous PA as estimated from the MPAQ(c) were
compared against those recorded by the accelerometer using
recognized cut-points [15]. As the accelerometer measured
data was computed for an 8-hour valid day criterion, the
data obtained from the MPAQ(c) was also calculated for a day
so as to make it comparable. Bland and Altman plots were
used to assess the agreement between data obtained using the
MPAQ(c) and accelerometer (within the 95% limits). A P
value <0.05 was considered as significant for all
statistical measures.
RESULTS
A total of 110 participants responded to
the MPAQ(c) on two occasions for the reliability study.
Children and adolescents with incomplete MPAQ(c) data (n=2)
or technical errors in the accelerometer instrument (n=4)
were excluded from analysis. A final sample of 104 (53
between 10-14 y) participants were included in the study, of
whom 43 and 61 participants completed the second round of
questionnaire within 3 weeks and in the fourth week of the
initial administration, respectively. Baseline
characteristics of the participants are shown in Table
I.
Table I Baseline Characteristics of the Study Participants (N=104)
Characteristics |
Overall |
Boys (n=49) |
Age (y) |
14.4 (1.5) |
14.5 (1.3) |
BMI (kg/m2) |
20.6 (5.3) |
20.0 (5.0) |
Waist (cm) |
69.8 (12.4) |
72.0 (13.0) |
*Systolic BP |
112 (12.0) |
114 (14.0) |
Diastolic BP
|
70 (10.0) |
70 (10.0) |
*Pulse (bpm) |
84.5 (12.0) |
77.9 (9.9) |
All values in mean (SD); *P=0.01 for
difference between boys and girls; BP: Blood
pressure. |
The test re-test reliability of the
questionnaire on study participants as per gender and
age-group is shown in Table II. The maximum
time was spent in the sleep domain followed by school and
recreation domains. The agreement between first and second
round of MPAQ(c) for boys (n=49) was 0.81 and for
girls, was 0.74. The ICC was 0.81 in the age group of 15-17
years which was higher than 0.73 in the age group of 10-14
years. Overall, ICC of total MET minutes per week between
the two rounds of MPAQ(c) was 0.77.
Table II Test-retest Reliability of Madras Diabetes Research Foundation Physical Activity Questionnaire [MPAQ(c)]
Variables |
|
MPAQ(c) scores |
|
|
|
Boys (n=49) |
Girls (n=55) |
10-14 y (n=53) |
15-17 y (n=51) |
School
|
446.3 (51.3) |
445.6 (49.9) |
447.0 (51.4) |
444.8 (49.7) |
Physical training
|
11.3 (3.7)# |
10.5 (3.0)‡ |
11.0 (2.8)^ |
10.8 (3.8)^ |
School sitting
|
338.7 (60.3) |
329.8 (58.2) |
337.2 (62.0) |
330.7 (56.4) |
Transport
|
47.7 (34.2)# |
43.7 (34.4)# |
43.1 (30.0)^ |
48.1 (38.2)# |
Commuting by walk
|
23.2 (15.5)^ |
20.9 (13.1)# |
19.3 (13.1)‡ |
24.8 (14.7)# |
Commuting by bus
|
50.0 (36.0) |
44.4 (38.6) |
43.4 (32.0) |
51.8 (42.5) |
General^ |
100.8 (33.6) |
118.1 (43.3)* |
104.4 (31.9) |
115.7 (46.3) |
Personal care -brushing, toilet, dressing etc. |
46.8 (17.0)^ |
58.1 (16.9)‡* |
52.3 (16.7)^ |
53.3 (19.1)^ |
Eating (includes all meals, snacks and drinks)
|
39.9 (21.9) |
38.3 (16.3) |
37.3 (18.7) |
40.8 (19.4) |
except that reported in the school section |
Recreation |
374.9 (111.2)^ |
394.7 (123.9)^ |
384.3 (125.1)# |
386.4 (111.3)^ |
Recreational MVPA
|
56.6 (71.5) |
46.0 (78.4) |
67.6 (89.0) |
33.8 (52.7)* |
Cycling (n=46) |
22.7 (23.1)# |
13.8 (18.1)‡ |
20.6 (22.4)‡ |
15.2 (19.1)^ |
Football, basketball, tennis, volley ball (n=40) |
24.6 (35.4)^ |
23.9 (44.3)# |
18.2 (29.3)^ |
32.8 (51.0)# |
Recreational sedentary behavior$ |
318.2 (99.0)^ |
348.6 (91.4)‡ |
316.7 (92.0)‡ |
352.6 (97.2)^ |
Watching TV
|
113.0 (50.8)^ |
93.3 (50.3)‡ |
110.3 (51.7)^ |
94.5 (49.9)^ |
Sleeping
|
541.7 (75.6)^ |
538.6 (74.0)‡ |
544.5 (78.0)‡ |
535.5 (70.9)^ |
Total MET, min/wk |
12948.1 (2887.0)# |
12894.0 (2946.6)^ |
12676.7 (2941.2)^
|
13171.9 (2873.4)# |
MPAQ(c) scores in mean (SD).#ICC values of
≥0.75-0.92, ^ICC values
of ≥0.62-0.74, ‡ICC
values of ≥0.50-0.59;
*P<0.05 compared to boys; **P<0.05 compared to 10-14
years children; $Doing homework/tuition (including
reading, writing or using the computer),
sitting in a car, bus, etc, playing sedentary games
(carom or chess) or computer/video games (like
Nintendo or Xbox or PSP), watching TV/videos/DVDs,
watching movies/shows/concerts, using the internet,
emailing or other electronic media for leisure,
chatting, reading, listening to music etc;
MVPA-Moderate-to-vigorous physical activity: Brisk
walking as an exercise, cricket, jogging/slow
running, dancing/aerobics/yoga(asanas), cycling
including exercise cycling/bike, conditioning
exercise, running/sprinting, football, basketball,
tennis, volleyball etc. |
Correlation coefficients (95% CI) for
sedentary behavior and moderate-vigorous PA for MPAQ(c)
against the accelerometer were 0.52 (0.36, 0.64) and 0.41
(0.23, 0.55), respectively.
A good agreement [mean (SD) bias =-4.9
(96.1) min/d] between MPAQ(c) and accelerometer for
sedentary behavior of older and younger children was
present. For moderate-vigorous PA, good agreement was
observed [mean (SD) bias = 0.01 (0.44) min/d].
DISCUSSION
Our study showed good reliability of
MPAQ(c) in both genders across the age range of 10 to 17
years. MPAQ(c) showed moderate correlation against objective
accelerometer measurement.
The values of internal consistency
obtained in this study were higher compared to another study
with similar characteristics done in the Netherlands [16].
The reliability of MPAQ(c) seen in this study is similar to
that reported in a systematic analysis by Chinapaw, et al.
[17]. The authors in this systematic analysis summarized and
appraised 61 questionnaires from 54 studies for measuring PA
in children, adolescents and youth. Their results showed
that the most reliable PA questionnaire in children aged 8
to 10 years, the Girls Health Enrichment Multisite Study
Activity Questionnaire had an ICC of 0.82 (0.75 for boys and
0.82 for girls).
Using the triaxial accelerometer as
criterion, validity has been done in several studies. In a
study conducted at Toronto, among girls aged 8-9 years,
correlation between moderate-vigorous data collected using
Habitual Activity Estimation Scale and accelerometer was
shown to be 0.24 [18]. Validity correlations for total PA in
children and adolescents with congenital heart disease aged
9 to 18 years was 0.51 indicating moderate correlation [19]
which is similar to our finding in the normal population.
According to the MPAQ(c) data analyzed
against the accelerometer reading, both boys and girls
over-reported sedentary behavior and MVPA. This
over-reporting was also reported with adult women in
Southern India [20]. A systematic review of 83 studies,
which evaluated PA in the pediatric population, found that
about 72% of MVPAs evaluated using a questionnaire were
over-reported by children and adolescents when compared to
the accelerometer [21]. Such inaccuracies are one of the
main limitations of the study. The reason for such
inaccurate responses by children can be attributed to
several social and psychological factors. Another limitation
is that accelerometers can underestimate the intensity of
effort associated with walking, running and cycling and in
activities that require the device to be removed such as
swimming and sleep [23]. As the data collection was
interview-based, there were high possibilities of data
variance between the different interviewers, which could be
another limitation, even though in our experience with
proper training and practice this error can be negated.
Though the validated questionnaire could be used for
assessment in any part of the country, it was tested only
with one particular group of children and adolescents in
only one large metropolitan city. The high compliance and
completion rate by the participants is the main strength of
the study. The ethnic-specific questionnaire used has
information about the type and schedule of PA while the
movement sensors in accelerometer provide information on the
actual quantity of PA, which will permit a better
understanding for the validation of subjective instruments
[24,25].
The present study has shown that the
MPAQ(c) for children and adolescents has good test-retest
reliability among the 10-17 years age group. It is an
instrument that can be used to assess the levels of PA in
children and adolescents in low and middle-income countries
like India due to its good psychometric properties.
Ethical clearance: Institutional
ethics committee of Madras Diabetes Research foundation; No.
IRB00002640, December, 2014.
Contributors: TSM: involved in
conduct of the study, writing the first draft of manuscript
and carrying out consecutive revisions; HR: co-ordinated the
study, helped in data analysis and revisions of the
manuscript; CA: analyzed the data and helped in data
interpretation; NJ: collected the data and gave inputs to
the manuscript; MP,VM: contributed to critical revisions for
intellectual content of the manuscript; RMA: conceptualized
the study, contributed inputs to data analysis and revisions
of the manuscript.
Funding: None; Competing interest:
None stated.
WHAT IS ALREADY KNOWN?
• Physical activity is positively
associated with lowering the risk of obesity and its
related complications in children and adolescents.
WHAT THIS STUDY ADDS?
• MPAQ (c) is
country-specific questionnaire from India to capture
physical activity levels among children and
adolescents, and has good test-retest reliability in
the 10-17 year age-group.
|
REFERENCES
1. Caspersen CJ, Powell KE, Christenson
GM. Physical activity, exercise, and physical fitness:
Definitions and distinctions for health-related research.
Public Health Reports. 1985;100:126-31.
2. Guthold R, Cowan MJ, Autenrieth CS,
Kann L, Riley LM. Physical activity and sedentary behavior
among schoolchildren: A 34-country comparison. J Pediatr.
2010;157:43-9.e1.
3. Bauman A, Phongsavan P, Schoeppe S,
Owen N. Physical activity measurement - a primer for health
promotion. Promot Educ. 2006;13:92-103.
4. Sallis JF. Measuring physical
activity: Practical approaches for program evaluation in
Native American communities. J Public Health Manag Pract.
2010;16:404-10.
5. Skender S, Ose J, Chang-Claude J,
Paskow M, Brühmann B, Siegel EM, et al. Accelerometry
and physical activity questionnaires - A systematic review.
BMC Public Health. 2016;16:515.
6. Welk GJ, Schaben JA, Morrow JR, Jr.
Reliability of accelerometry-based activity monitors: A
generalizability study. Med Sci Sports Exerc.
2004;36:1637-45.
7. Cossio BM, Mendez CJ, Luarte RC,
Vargas VR, Canqui FB, Gomez CR. Physical activity patterns
of school adole-scents: Validity, reliability and
percentiles proposal for their evaluation. Revista Chilena
de Pediatria. 2017;88:73-82.
8. Anjana RM, Sudha V, Lakshmipriya N,
Subhashini S, Pradeepa R, Geetha L, et al.
Reliability and validity of a new physical activity
questionnaire for India. Int J Behav Nutr Phys Act.
2015;12:40.
9. Sasaki JE, John D, Freedson PS.
Validation and comparison of ActiGraph activity monitors. J
Sci Med Sport. 2011;14: 411-6.
10. Santos-Lozano A, Santin-Medeiros F,
Cardon G, Torres-Luque G, Bailon R, Bergmeir C, et al.
Actigraph GT3X: Validation and determination of physical
activity intensity cut points. Int J Sports Med.
2013;34:975-82.
11. Ridley K, Ainsworth BE, Olds TS.
Development of a compendium of energy expenditures for
youth. Int J Behav Nutr Phys Activity. 2008;5:45.
12. Butte NF, Watson KB, Ridley K, Zakeri
IF, McMurray RG, Pfeiffer KA, et al. A Youth
Compendium of Physical Activities: Activity codes and
metabolic intensities. Med Sci Sports Exerc. 2018;50:246-56.
13. Cicchetti DV. Guidelines, criteria,
and rules of thumb for evaluating normed and standardized
assessment instruments in psychology. Psych Assess.
1994;6:284-90.
14. Freedson PS, Melanson E, Sirard J.
Calibration of the computer science and applications, Inc.
accelerometer. Med Sci Sports Exerc. 1998;30:777-81.
15. Chinapaw MJ, Slootmaker SM, Schuit
AJ, van Zuidam M, van Mechelen W. Reliability and validity
of the activity questionnaire for adults and adolescents (AQuAA).
BMC Med Res Methodol. 2009;9:58.
16. Chinapaw MJ, Mokkink LB, van Poppel
MN, van Mechelen W, Terwee CB. Physical activity
questionnaires for youth: A systematic review of measurement
properties. Sports Med. 2010;40:539-63.
17. Lockwood J, Jeffery A, Schwartz A,
Manlhiot C, Schneiderman JE, McCrindle BW, et al.
Comparison of a physical activity recall questionnaire with
accelerometry in children and adolescents with obesity: A
pilot study. Obesity. 2017;12:e41-45.
18. Voss C, Dean PH, Gardner RF, Duncombe
SL, Harris KC. Validity and reliability of the physical
activity questionnaire for children (PAQ-C) and adolescents
(PAQ-A) in individuals with congenital heart disease. PLoS
One. 2017;12:e0175806.
19. Mathews E, Salvo D, Sarma PS,
Thankappan KR, Pratt M. Adapting and validating the global
physical activity questionnaire (GPAQ) for Trivandrum,
India, 2013. Prev Chronic Disease. 2016;13:E53.
20. Adamo KB, Prince SA, Tricco AC,
Connor-Gorber S, Tremblay M. A comparison of indirect versus
direct measures for assessing physical activity in the
pediatric population: a systematic review. Int J Obesity:
2009;4:2-27.
21. Schnurr TM, Bech B, Nielsen TRH,
Andersen IG, Hjorth MF, Aadahl M, et al.
Self-reported versus accelerometer-assessed daily physical
activity in childhood obesity treatment. Percept Mot Skills.
2017;124:795-811.
22. Ward DS, Evenson KR, Vaughn A,
Rodgers AB, Troiano RP. Accelerometer use in physical
activity: Best practices and research recommendations. Med
Sci Sports Exerc. 2005;37:S582-8.
23. Vanhelst J, Hardy L, Gottrand F,
Beghin L. Technical aspects and relevance of physical
activity assessment in children and adolescents in
free-living conditions. Arch Pediatr. 2012;19:1219-25.
|
|
 |
|