Abstract
This paper describes the cognitive interview phase of the development of two brief surveys, the Movement Behaviour Questionnaire-Baby (MBQ-B) and Movement Behaviour Questionnaire-Child (MBQ-C), which measure the duration of physical activity, screen time, and sleep of children aged 0–5 years. The aims were (1) review the format, content, and clarity of questionnaire items and response options, (2) understand how parents retrieve, encode, and formulate responses when asked about their child’s movement behaviours, and (3) identify potential sources of response error and make appropriate modifications. Interviews with parents of children aged 0–5 years were conducted using concurrent think-aloud techniques and probing questions. Parents reviewed the MBQ-B and/or MBQ-C depending on the developmental stage of their child(ren). Twenty-nine interviews were conducted with 20 parents, over four iterative rounds. Participants recalled usual family routines and rules when estimating the duration/frequency of behaviours. To estimate active play, parents referred to the child’s daily routine considering wake and bedtimes, naps, and mealtimes. Participants were influenced by the examples provided, being unable to interpret these as exemplars only. Decomposing general items into specific questions with examples was well received. Use of numeracy skills when estimating duration was evident. Interviews informed revisions to item wording, examples, and recall prompts, which will be taken forward into the MBQ-B and MBQ-C validation studies. Utilising cognitive interviewing can enhance confidence that questionnaire items are correctly interpreted and understood by participants.
Keywords:
infants; children; active play; physical activity; screen time; sleep; cognitive interviews 1. Introduction
Regular physical activity, limited screen time, and adequate sleep are movement behaviours inextricably linked to healthy growth and development during early childhood [1]. Achieving the optimal combination of physical activity, sedentary behaviour, and sleep is associated with a multitude of positive health outcomes. These include improved cardiometabolic and musculoskeletal health, and cognitive development, while being inversely associated with negative health outcomes such as obesity, elevated blood lipids, hypertension, and glucose intolerance [2,3].
On the weight of this evidence, numerous countries, including Australia, have developed 24-h movement guidelines for young children from birth to 5 years [4,5,6]. Infants can be physically active through supervised, interactive floor-based play including at least 30 min of tummy time, while toddlers and preschoolers are recommended to spend at least 180 min per day in a variety of physical activities [7]. For preschoolers, at least 60 min of this activity should be energetic play. Children of all ages should not be restrained for more than one hour at a time (e.g., in a stroller or car seat) and for those younger than two years, sedentary screen time is not recommended. While recommendations for sleep duration vary slightly with age, all have an emphasis on good quality sleep [5,6,7]. Such guidelines acknowledge that individual movement behaviours, including activity, sedentary time, screen time, and sleep, need to be considered in relation to each other when examining their associations with the health and developmental outcomes in children [4].
The ability to monitor population trends in meeting the 24-h movement guidelines and evaluate the impact of policies and programs to promote healthful lifestyle behaviours in children aged 0–5 years depends on the availability of validated short-form assessment tools. However, brief, validated, and ‘fit-for-purpose’ assessment tools for infants, toddlers, and preschoolers that are feasible for use in policy and practice settings are lacking [8]. Recent systematic reviews have concluded that there are no valid proxy-report measures of movement behaviours for children under five years of age [9,10].
An important step in the development of self-report tools is understanding whether participants interpret items as intended. One way to assess understanding is through the use of ‘cognitive interviewing’ [11], specifically the think-aloud method. The participant is prompted to narrate their thoughts as they formulate answers to each item, thereby revealing their interpretation and decision-making process. Improving the format and wording of items based on participant feedback can act to decrease the ‘cognitive load’ placed on participants [12] as they complete the questionnaire. This, in turn, may improve an individual’s recall of the behaviour of interest and subsequent accuracy and quality of the data obtained [11].
This paper describes the outcomes from the cognitive interview phase of the development of two brief surveys, the Movement Behaviour Questionnaire-Baby (MBQ-B) and Movement Behaviour Questionnaire-Child (MBQ-C), which are designed to measure the physical activity, screen time, and sleep of infants, toddlers, and pre-schoolers aged 0–5 years. The aims of this development phase were to (1) review the format, content, and clarity of questionnaire items and response options, (2) understand how parents retrieve, encode, and formulate responses when asked about their young child’s movement behaviours, and (3) identify potential sources of response error and make appropriate modifications.
2. Materials and Methods
This is a qualitative study. Recruitment, interviews, and iterative analysis occurred between April and August 2020.
2.1. Participants and Recruitment
An invitation to participate was distributed via email or text message to a convenience sample of parents in southeast Queensland, Australia, who self-identified as having an infant and/or child 0–5 years of age. If interested, parents were directed to an electronic Participant Information Sheet and Consent form via a Research Electronic Data Capture (REDCap) [13,14] database link. Once consenting, parents were directed to complete a brief demographic survey and then contacted by a research team member via telephone to schedule an interview time.
2.2. Movement Behaviour Questionnaire-Baby (MBQ-B) and Movement Behaviour Questionnaire-Child (MBQ-C)
The MBQ-B and MBQ-C are newly developed brief tools designed to measure physical activity, screen time, and sleep in infants, toddlers, or pre-schoolers, up to and including five years of age. Candidate items were identified based on a literature review of existing brief measures [8] and an examination of movement behaviour items used in key Australasian obesity prevention trials [15,16,17,18].
The initial version of the MBQ-B (Supplementary Table S1) contained six items and was designed to be administered to parents of children < 18 months of age who are not yet walking. This version included an item on the frequency and duration of tummy time, assessed time spent in active play/outdoor play, watching television, and using mobile digital devices as single items across a typical day (not separately for weekday and weekend days), and did not include a bedtime routine item. For toddlers and preschool-aged children, the first iteration of the MBQ-C comprised nine items assessing time spent in active play/outdoor play on a typical weekday and weekend day (two items); time spent watching television and using mobile digital devices on a typical weekday and weekend day (four items); time spent in sleep (night-time and during the day); and bedtime routine (three items). For comparison purposes, both open-ended and close-ended response formats were developed and tested.
2.3. Cognitive Interview Protocol
The protocols for the cognitive interviews and the standardised interview guide (Supplementary Table S2) were developed using the methodology of Willis [11]. Interviews were conducted via video call by one interviewer (DB) who has extensive experience building rapport with participants as a researcher and health practitioner. The use of video-call allowed flexibility for participants to complete the interview in the comfort of their own home at a time that was convenient to them. There is research to indicate that this can make participants feel more comfortable when disclosing their experiences and that video-call is as effective as in-person interviews [19]. A brief introduction was used to reiterate the purpose of the study and confirm the participant’s consent to video record the interview. This was followed by a ‘warm-up’ question to introduce the think-aloud process. Parents were then asked to review the version of the MBQ relevant to their child’s developmental stage. If the participant had an infant and a child in their household, they were invited to review both the MBQ-B and MBQ-C. The interviewer shared the relevant MBQ version on the screen such that the interviewer and participant could both see the questionnaire.
Two strategies were used to uncover the cognitive processes occurring as parents thought about and developed answers to items: the concurrent think-aloud technique and probing questions. Participants were asked to read the items aloud, think-aloud while formulating an answer to the item, and provide their answer to the interviewer. General probes were used to elicit feedback on the format, content, and clarity of items. For all items, participants were presented with both open-ended and closed-ended response formats and asked to state their preferred format and why. Each interview took approximately 30 min and at the conclusion participants were offered a retail gift card as a ‘thank you’ token to the value of 20AUD.
2.4. Data Analysis
Analysis was completed using an iterative process [11]. Upon the completion of each interview, a computer-generated transcription was downloaded and edited for accuracy and completeness against the videorecording (CT). Two members of the research team (ST, RB) independently reviewed each transcript and associated recording, classifying participant responses into categories developed by Tourangeau [20] and further adapted by Willis [11]: General comprehension: was the question understood?; Decision process: was the participant able to articulate a strategy to retrieve information from memory and to arrive at an answer to the question?; Response process: how does the participant map their own answer onto the scale provided?, are the scale responses appropriate?, and preference for open- versus closed-ended options.
At the conclusion of each round of interviews, members of the research team (ST, RB, CT, and DB) discussed participant’s responses. When participants consistently identified problems or items were repeatedly misunderstood, modifications to the questionnaire were proposed and agreed upon, i.e., decisions may have been based on any of the interviews that preceded coding, not necessarily the most recent iteration. The wording of items modified based on the participants’ suggestions was to improve clarity and usability. This process of interviewing, analysis and modification was repeated until the research team reached a consensus that participants showed adequate comprehension of items with no further modifications required. In each subsequent round, the revised questionnaire was tested with new participants or previous participants recontacted if clarification was sought.
3. Results
3.1. Participants
A total of 29 interviews were conducted with 20 parents between April and August 2020. Nineteen mothers and one father participated, with nine participants aged between 26 and 35 years and the remainder 36–45 years. All except one identified as Caucasian ethnicity and 70% (n = 14) had a university degree.
3.2. Interviews and Modifications
Four rounds of interviews were completed. Five participants had both an infant and a child within the eligible age range and therefore completed both the MBQ-B and MBQ-C. Table 1, Table 2, Table 3 and Table 4 summarise the main findings related to participant comprehension and processes as well as item modifications at each round. The number of participants interviewed within each round is provided in the footnote of each table. In summary, all six items in the initial version of the MBQ-B underwent minor revisions (e.g., alterations to examples), one item underwent major revisions (milestone associated with tummy time), and one item was added (restrained time). Of the nine items in the initial version of the MBQ-C, one item was retained in its original form (sleep routine), four underwent minor revisions, and four underwent major revisions (weekday and weekend day active play and weekday and weekend day screen time).
Table 1.
Main findings and modifications to the Movement Behaviour Questionnaire-Baby (MBQ-B) and Movement Behaviour Questionnaire-Child (MBQ-C) after first round of interviews.
Table 2.
Main findings and modifications to the Movement Behaviour Questionnaire-Baby (MBQ-B) and Movement Behaviour Questionnaire-Child (MBQ-C) after second round of interviews.
Table 3.
Main findings and modifications to the Movement Behaviour Questionnaire-Baby (MBQ-B) and Movement Behaviour Questionnaire-Child (MBQ-C) after third round of interviews.
Table 4.
Main findings and modifications to the Movement Behaviour Questionnaire-Baby (MBQ-B) after fourth round of interviews.
4. Discussion
The purpose of this paper was to describe the cognitive interview phase of the development of two brief surveys, the Movement Behaviour Questionnaire-Baby (MBQ-B) and Movement Behaviour Questionnaire-Child (MBQ-C), to measure the movement behaviours (physical activity, screen time, and sleep) of children aged 0 to 5 years. There is potential for short tools such as the MBQ to be validated and embedded into nationally representative surveys, offering a feasible and cost-effective way to monitor health behaviours of the population over time. Given the opportunity for these surveys to inform public health policy and practice, it is essential that steps are taken to enhance the accuracy of the behaviours being assessed.
Research participants move through a complex set of processes while answering questionnaire items, including understanding the question, recalling the relevant behaviour, inference and estimation, mapping their answer onto the response format, and, finally, editing the answer for social desirability [21]. The first aim of this research was to use cognitive interviews with participants to review—and ultimately improve—the format, content, and clarity of questionnaire items and response options. General comprehension was high, overall, questions were well understood, and most items required only minor revisions.
The second aim was to understand how parents retrieve, encode, and formulate responses when asked about their young child’s movement behaviours, and participants were able to articulate their decision process during the interviews. Most often, they recalled their usual family routines and rules when estimating the duration and/or frequency of behaviours, especially for time spent in active play and use of electronic devices. To estimate the duration of outside play, parents referred to the child’s daily routine, considering wake and bedtimes, daytime naps, or eating occasions. However, this process highlighted a potential source of response error (aim 3) in that it became apparent that any outside time was equated as being active play, regardless of the actual intensity of activity that children may engage in outdoors. This problem was compounded by the use of examples within items. When recalling the duration of play, participants were unable to infer beyond the specific examples provided, taking the list of items literally, rather than being an indication of the level of intensity of the movement behaviours of interest. The phenomenon of interpreting items literally has been observed in other studies that utilised cognitive interviewing [22].
As a result, modifications were made to items and associated examples to improve understanding and recall using a technique known as ‘decomposing’ [21]. Decomposing the general item about outdoor play from iteration 1 into more specific questions—with examples of active play (walking, running, dancing, climbing, playing with balls, riding bikes or scooters, swimming) and within this, vigorous play (running, jumping, dancing, riding bikes or scooters)—during iteration 2 was well-received by participants. This may be because decomposing a general question into several more specific ones is useful when the specific questions relate to less frequent or memorable behaviours [21].
While decomposition can improve the accuracy of recall for less frequent behaviours [23] (for example, sedentary time decomposed to highlight time spent restrained in a high chair or car seat), this technique may be less useful when asking about common, repeated behaviours. Participants did report having difficulty accurately recalling active play and tummy time with infants, and considered these as activities of high frequency, spontaneous, and of short duration. For frequently occurring behaviours, parents or caregivers may never encode the relevant information in the first place, and are therefore unable to recall the relevant behaviours when prompted [23].
The use of judicious examples was also relevant when assessing the use of screen-based devices. It is challenging to develop brief items that adequately capture the numerous and often times simultaneous screen-based activities that infants and children might engage in [24]. Participants mentioned the need to include video calls as an example within items. This is unsurprising given data collection occurred during the COVID-19 pandemic, when restrictions to movement between states and countries, and even within individual cities, necessitated a more frequent use of video calls to connect with friends and family.
Participants noted that routines differ on weekdays compared with weekends, and easily differentiated between the two. This has also been reported during cognitive interviews with Korean American families with children aged 2–5 years, with subsequent differences in screen time duration reported [25], which highlights the need to include items that differentiate between the weekday and weekend. While this may increase the overall number of items, participant burden should remain low. Employing techniques such as cognitive interviewing to refine questionnaire items can act to decrease the ‘cognitive load’ placed on participants during survey completion and ultimately improves the accuracy of recall.
Schwarz and Oyserman [21] describe the “recall and count” strategy, i.e., “researchers typically hope that respondents will identify the behaviour of interest, scan the reference period, retrieve all instances that match the target behaviour, and finally count these instances to determine the overall frequency of the behaviour”, highlighting the need for numeracy skills to support accurate reporting. This was evident within this sample when participants reported calculating the difference between bedtime and waketime to estimate sleep duration or multiplying the duration of a favourite television show by number of episodes watched per day to determine a duration for the use of a screen-based device.
When considering the response process, there was no clear preference for open versus closed responses. Both formats have advantages and disadvantages. An open-ended response option ‘forces’ parents to think specifically about their own child’s behaviour rather than choose from a list available. Closed-ended options might help put an item in context for the participant, but might also prompt a participant to edit their answer for social desirability [23], such as when the middle option is perceived as ‘typical’ or ideal behaviour. Both open- and closed-ended response options will be taken forward to the MBQ validation study to assess which options result in greater accuracy of parental reporting of children’s movement behaviours.
Strengths and Limitations
A strength of this research is the use of multiple rounds of interviews in which items could be modified by the research team and retested with participants. There was a higher proportion of participants with a tertiary education compared to the national average.; seventy percent in this study, compared with 50% of Australian women aged 25–44 years having a qualification at bachelor’s degree level or above in 2022 [26]. A sample with lower literacy and numeracy skills or with English as a second language may provide different feedback on comprehension and wording of items.
5. Conclusions
Cognitive interviews and iterative coding rounds addressing the format, content, and clarity of the questionnaire items and response options informed revisions to item wording, judicious use of examples, and recall prompts in the MBQ-B and MBQ-C. These versions will be taken forward into validation studies evaluating the test–retest reliability and concurrent validity of the items. Cognitive interviewing enhanced our understanding of how parents retrieve, encode, and formulate responses to questions about their young child’s movement behaviours, increasing our confidence that questionnaire items are correctly interpreted and understood by participants.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/children10091554/s1, Table S1: Iterations of the Movement Behaviour Questionnaire-Baby (MBQ-B) and Movement Behaviour Questionnaire-Child (MBQ-C) tested in the first round of cognitive interviews, showing open and closed response options; Table S2: Interview outline.
Author Contributions
S.G.T. conceptualised this study. D.S.K.B. and C.O.T. recruited participants and D.S.K.B. conducted all interviews. S.G.T. and R.B. completed data analysis with support from R.B., C.O.T., L.K.C. and D.S.K.B.; S.G.T. and R.B. prepared the first version of the manuscript and made revisions based on feedback from all authors. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the National Health and Medical Research Council (Grant/Award Number APP1101675). RB is supported by an Australian Research Council Discovery Early Career Researcher Award (DE230101053).
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki and approved by the Children’s Health Queensland (approval number: LNR/2019/QCHQ/57733) and Queensland University of Technology (approval number: 1900001172) Human Research Ethics Committees, approved date on 19 December 2019.
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
Please contact the corresponding author about the availability of data.
Acknowledgments
The authors would like to acknowledge the participants for being generous with their time and providing insight into their child’s movement behaviours.
Conflicts of Interest
The authors declare no conflict of interest.
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