Literature DB >> 33642686

Development and evaluation of the sedentary behavior and light-intensity physical activity questionnaire.

Rumi Tanaka1, Kimie Fujita2, Kiyoko Makimoto3, Kanako Yakushiji2, Satomi Tanaka1, Goro Motomura4, Masanori Fujii4, Satoshi Ikemura4, Yasuharu Nakashima4.   

Abstract

[Purpose] To describe our newly developed Sedentary Behavior and Light-Intensity Physical Activity Questionnaire and examine its reliability and validity. [Participants and Methods] We identified and selected self-reported items through a literature review and interviews with 11 inactive individuals. Thirty-one individuals with lower limb prostheses and an expert panel assessed the content validity of the integrated items and identified 17 items. Patients who had undergone lower limb surgeries were regarded as inactive individuals, and 112 patients completed the questionnaire twice for test-retest reliability and wore an accelerometer for criterion validity. The ethics committee of Kyushu University approved this study (2019-126 and 2019-273).
[Results] Item analysis was revised to the Sedentary Behavior and Light-Intensity Physical Activity Questionnaire-10 (six light-intensity physical activity and four sedentary behavior items) because of the floor effect. The test-retest correlation coefficient showed high reliability. Moderate to weak correlation coefficient was observed between the questionnaire and accelerometer (light-intensity physical activity: 0.43 and sedentary behavior: 0.20), and the Bland-Altman plots indicated no bias.
[Conclusion] The Sedentary Behavior and Light-Intensity Physical Activity Questionnaire-10 had acceptable validity and reliability among inactive individuals and it could be used for studying light-intensity physical activity. 2021©by the Society of Physical Therapy Science. Published by IPEC Inc.

Entities:  

Keywords:  Physical activity; Sedentary; Validity

Year:  2021        PMID: 33642686      PMCID: PMC7897535          DOI: 10.1589/jpts.33.125

Source DB:  PubMed          Journal:  J Phys Ther Sci        ISSN: 0915-5287


INTRODUCTION

Physical activity is classified into three categories depending on the intensity of the activity: sedentary behavior, light-intensity physical activity, and moderate- to vigorous-intensity physical activity (MVPA)1). There is strong evidence of an association between MVPA and health benefits2). However, some people have factors, such as health problems, feeling tired, and lacking motivation, that prevent them from participating in physical activity3) and people with mobility limitations were found to be more sedentary than those without4). Long-term sedentary behavior causes muscle weakness, metabolic dysfunction, cardiovascular disease5, 6), and increased mortality7). The focus of physical activity health benefits has expanded to include light-intensity physical activity, which is easy to conduct even for people who face barriers to physical activity. In recent years, several studies have revealed that light-intensity physical activity has a positive effect not only physically, by preventing non-communicable diseases and improving lipid and glucose metabolism8), but also psychosocially, by decreasing depression9). Furthermore, light-intensity physical activity decreases the risk of physiological indicators such as the number of co-morbidities10). Three hundred minutes per week of light-intensity physical activity is recommended11). Although most light-intensity physical activity studies used accelerometers8, 12,13,14), these devices needed to be worn continuously, which sometimes resulted in a high attrition rate15). A questionnaire is a suitable measurement method for a large sample survey as it is inexpensive and versatile16). Only two scales have focused on light-intensity physical activity measurements to date. The 7-day Sedentary and Light Intensity Physical Activity Log was the first scale developed for evaluating light-intensity physical activity and sedentary behavior17); however, its adaptability to middle-aged and older people has not yet been established because the mean age of survey participants was 26.5 years. Second, the Community Health Activities Model Program for Seniors, a self-report scale developed as a physical activity measurement scale for older individuals, has recently been modified to measure light-intensity physical activity18, 19) but was found to have low validity. A systematic review reported that scales to measure physical activity included a limited number of light-intensity physical activity20), and validity and/or reliability of these scales was only tested in the general population not in physically inactive people21,22,23). Patients with lower limb arthroplasty have lower levels of physical activity than individuals in the general population, even long after surgery24, 25), and could be regarded as inactive people. We aimed to develop a questionnaire to characterize sedentary or light-intensity physical activity and to examine its reliability and validity in middle-aged and older adults who tend to have an inactive lifestyle.

PARTICIPANTS AND METHODS

To develop the Sedentary Behavior and Light-Intensity Physical Activity Questionnaire (SLPAQ), we extracted 265 light-intensity physical activity and sedentary behavior items from the 2011 Compendium of Physical Activities (Japanese version)26). It contains common activities converted into metabolic equivalent units (METs)26, 27). Then, a panel of experts, comprising physical activity researchers, clinical nurses, and orthopedic surgeons, chose 163 activities that were thought to be performed by inactive adults out of the 265 light-intensity and sedentary activities. To identify additional activities, we conducted a review of literature on physical activity scales. We identified 25 light-intensity and sedentary activities from 22 studies. To identify any unreported physical activity items in community-dwelling middle-aged and older persons, we recruited a convenience sample of 11 community-dwelling persons 40–90 years old (age: 65.8 ± 13.5 years; 6 males and 5 females) who did not exercise regularly. We interviewed the participants regarding their activities over the previous 4 days. We identified 18 additional activities from this survey. The expert panel grouped the 206 activities by similarity into 58 items, comprising five domains: housework, leisure, work, transport, and self-care. To confirm the questionnaire’s content validity—its ability to capture activities that accurately represent sedentary behavior and light-intensity physical activity—we recruited patients with artificial lower limb joints from Kyushu University Hospital and expert panel members from the previous survey. We asked 31 community-dwelling outpatients aged 40 years or older with artificial lower limbs joints (age: 68.3 ± 12.9 years; 14 males and 17 females) to report how often they performed each of the 58 activities using a 4-point Likert scale, ranging from 1 (very infrequent) to 4 (very frequent). Items for which >50% of responses reported 4 (very frequent) were included in the draft version of the scale. Then, 7 expert panel members participated in an item content validity index survey, using a 4-point Likert scale ranging from 1 (not relevant) to 4 (very relevant), and a content validity ratio survey, using a 3-point Likert scale ranging from 1 (not necessary) to 3 (essential)28). We used an item content validity index cut-off point of 0.8 and a content validity ratio cut-off point of 0.99, where a value greater than the cut-off indicated acceptable validity29). Of 58 items, 17 activity items were retained—the SLPAQ-17. The SLPAQ-17 asked the frequency that each physical activity had been performed in the previous week and the duration of each physical activity per day; the total time spent on light-intensity physical activity and sedentary behavior per week could then be calculated. Item responses for activity duration had five categorical options (the algorithm conversion values are included in parentheses): <1 h (0.5 h), 1–2.5 h (1.75 h), 3–4.5 h (3.75 h), 5–6.5 h (5.75 h), >7 h (7.75 h). For activities typically performed for longer durations (e.g., lying down or sitting down), items used the same format with eight categories: <1 h (0.5 h), 1–2.5 h (1.75 h), 3–4.5 h (3.75 h), 5–6.5 h (5.75 h), 7–8.5 h (7.75 h), 9–10.5 h (9.75 h), 11–12.5 h (11.75 h), >13 h (13.75 h). We compared the performance reliability of two new and conventional physical activity monitoring accelerometers, the Active style PRO HJA-750 (Omron Healthcare Co., Ltd., Kyoto, Japan30)) and Lifecorder (Suzuken Co., Ltd., Nagoya, Japan). Active style PRO captures physical activity and classifies it into walking physical activity and non-walking physical activity30). We recruited 22 individuals (age: 57.6 ± 17.4 years; 13 males and 9 females; BMI 22.0 ± 2.8 kg/m2) from the general population. After the individuals were informed about the study, those who agreed to participate provided signed consent forms. Each was asked to simultaneously wear an Active style PRO accelerometer and a Lifecorder accelerometer. The intraclass correlation coefficient (ICC) for Active style PRO walking activity detection and Lifecorder physical activity detection were 0.71 for light-intensity physical activity and 0.79 for MVPA. To test the validity and reliability of the SLPAQ-17, we selected the Active style PRO accelerometer because it was more sensitive to light-intensity physical activity than the Lifecorder accelerometer, which tended to underestimate non-walking activities31, 32) such as standing, sitting while doing laundry, or dishwashing33). Active style PRO captured these light-intensity physical activities and correctly classified them as non-walking. To test the validity and reliability of the SLPAQ-17, patients with lower limb arthroplasty were recruited from Kyushu University Hospital. Participants who had undergone hip or/and knee arthroplasty ≥6 months prior and who were aged between 40 and 90 years were eligible. The planned sample size was 100 participants, in accordance with Consensus-based Standards for the Selection of Health Measurement Instruments34). Eligible outpatients who consented to participate were given two copies of the SLPAQ-17 questionnaire and an Active style PRO accelerometer. The participants were asked to complete the questionnaire (Time 1) and wear the accelerometer for 4 days, except while sleeping. The test-retest reliability of the questionnaire survey was conducted 1 week after the Time 1 survey (Time 2). The questionnaires and accelerometer were returned by mail. Data from those who wore the accelerometer ≥10 h/day for at least 4 days were included in the analysis8). Physical activity intensities were defined as follows: 0.9 MET< sedentary ≤1.5 METs, 1.5< light intensity ≤3 METs, and MVPA>3 METs. Item analyses assessed ceiling and floor effects of the scale items. When >15% of participants had the highest possible value (>7 or >13 h × 7 days) or the lowest possible value (0 h × 7 days), the ceiling or floor effect, respectively, was considered to be present. Test-retest reliability was assessed using Spearman rank correlation coefficients (ρ) and ICCs between Time 1 and Time 2 SLPAQ variable. Spearman rank correlation and Bland-Altman analyses of SLPAQ and accelerometer-based results (h/day) were used to evaluate item content validity. For testing proportional biases, Pearson correlation of the differences between and averages of the activity durations estimated by the accelerometer and SLPAQ were calculated. Correlation coefficients (Spearman ρ, Pearson and ICC) were calculated using SPSS version 24 (IBM Corp, Armonk, NY, USA), and Bland-Altman analyses were performed in Excel (Microsoft Inc). The level of significance for all statistics was set at p<0.05. This study was approved by the ethics committee of Kyushu University (first SLPAQ version: 2019-126; validation and reliability study: 2019-273).

RESULTS

Overall, 138 patients were asked to participate in the survey. Of these, 13 declined to participate. The response rate for the SLPAQ-17 was 96.8%. Out of 121 respondents, 9 failed to wear the accelerometer. The remaining 112 patients participated in the validation study. The mean age of the participants was 67.5 ± 10.6 years, and 79 were female. The mean BMI was 24.5 ± 3.9 kg/m2, and most participants had undergone total hip arthroplasty (n=100, 89.3%). All participants had received non-cemented prostheses. The mean number of steps was 4,644 ± 3,187 steps/day. The mean durations of MVPA, light-intensity physical activity, and sedentary behavior were 0.9 ± 0.5 h/day, 4.9 ± 1.6 h/day, and 6.6 ± 1.8 h/day, respectively. The proportions of MVPA, light-intensity physical activity, and sedentary behavior were 7.3%, 39.6%, and 53.1%, respectively. No ceiling effect was observed, while a floor effect was demonstrated for 11 items. Of these 11 items, 2 work and 2 transport activity items were retained in the questionnaire because a previous study had classified physical activity in work and transportation in general people as crucial35). These four retained items and the six items without floor effects were included in the final version of the questionnaire, SLPAQ-10 (Table 1), comprising six light-intensity physical activity and four sedentary behavior items.
Table 1.

Physical activity measures derived from Time 1 survey using the SLPAQ (h/day) (n=112)

ItemsMean ± SDCeiling effect (%)Floor effect (%)
HouseworkPreparing and clearing meals2.2 ± 1.80.0 7.1
Cleaning up0.7 ± 0.80.0 13.4
LeisureLying down or sitting down4.1 ± 3.25.4 0.0
WorkSitting at work1.0 ± 2.10.0 67.9
Standing or walking slowly at work0.8 ± 1.90.0 78.6
TransportTransporting to destination0.7 ± 1.10.0 33.0
Sitting in a vehicle0.3 ± 0.60.0 52.7
Self-careEating meals1.2 ± 0.80.0 4.5
Morning preparation0.7 ± 0.50.0 0.0
Preparation and tidying up before going to sleep0.4 ± 0.20.0 9.8

SLPAQ: Sedentary Behavior and Light Intensity Physical Activity Questionnaire; SD: standard deviation; Ceiling and floor effect: the percentage of the people scoring highest (more than 7 or 13 hours ×7 days) or lowest (0 hours ×7 days) respectively, †Light intensity physical activity, ‡Sedentary behavior.

SLPAQ: Sedentary Behavior and Light Intensity Physical Activity Questionnaire; SD: standard deviation; Ceiling and floor effect: the percentage of the people scoring highest (more than 7 or 13 hours ×7 days) or lowest (0 hours ×7 days) respectively, †Light intensity physical activity, ‡Sedentary behavior. Table 2 shows test–retest reliability and correlations between Time 1 and Time 2 of the SLPAQ-10 data. Time 1 and Time 2 showed high correlations for light-intensity physical activity items (ρ=0.74, p<0.01) and moderate correlation for sedentary behavior items (ρ=0.66, p<0.01). There was also high to moderate agreement for light-intensity physical activity (ICC=0.70) and sedentary behavior (ICC=0.69).
Table 2.

Reliability of the SLPAQ-10 administered at Time 1 and Time 2 and validity coefficients for the SLPAQ-10 and accelerometer (n=112)

Reliability: the correlation between Time 1 and Time 2 of the SLPAQValidity: the correlation between Accelerometer physical activity and the SLPAQ

Spearman’s ρp valueICCSpearman’s ρp valueICC
Light-intensity physical activity0.74 <0.010.70 0.43 <0.010.32
Sedentary behavior0.66 <0.010.69 0.20 0.03 0.10

SLPAQ: Sedentary Behavior and Light Intensity Physical Activity Questionnaire; Spearman’s ρ: Spearman’s rank correlation coefficient; ICC: Intraclass Correlation Coefficient.

SLPAQ: Sedentary Behavior and Light Intensity Physical Activity Questionnaire; Spearman’s ρ: Spearman’s rank correlation coefficient; ICC: Intraclass Correlation Coefficient. Table 2 reports Spearman ρ for the SLPAQ-10 and accelerometer variables. A moderate and significant correlation between the SLPAQ-10 and light-intensity physical activity accelerometer variables (ρ=0.43, p<0.01) was observed. Correlation values for SLPAQ-10 and sedentary behavior accelerometer variables were low (ρ=0.20, p=0.03). Bland-Altman plots demonstrated that zero was within the 95% confidence interval (CI) of the mean difference between SLPAQ-based light-intensity physical activity (mean difference; 95% CI=0.51; −0.10 to 1.12 h/day) and sedentary behavior (mean difference; 95% CI=0.10; −0.76 to 0.79 h/day) and the accelerometer variables, indicating no bias (Fig. 1). Pearson correlation coefficients for differences and averages of the accelerometer and the SLPAQ-10 variable were 0.69 (p<0.01) and 0.64 (p<0.01) for light-intensity physical activity and sedentary behavior, respectively.
Fig. 1.

Bland-Altman plots of accelerometer and Light-Intensity Physical Activity (upper panel) and Sedentary Behavior (lower panel) Questionnaire (SLPAQ) variables.

Bland-Altman plots of accelerometer and Light-Intensity Physical Activity (upper panel) and Sedentary Behavior (lower panel) Questionnaire (SLPAQ) variables.

DISCUSSION

We developed a self-report questionnaire—SLPAQ-10—to measure sedentary behavior and light-intensity physical activity among middle-age and older adults who had undergone lower limb arthroplasty and who mainly perform low-intensity activities. The current validation study showed the SLPAQ-10 had good reliability and validity compared with an accelerometer. The SLPAQ-10 has some advantages over previous scales used to measure physical activity. First, the SLPAQ-10 had a high validity for light-intensity physical activity, while a systematic review found that most scales measuring physical activity that include light-intensity physical activity have a low validity for light-intensity physical activity20). Second, the SLPAQ-10 is short and easy to complete; this study had a high response rate. Conversely, many physical activity scales require that participants report activity times in detail17, 21, 36), which places a time burden on the participants. Although there are light-intensity physical activity studies using accelerometers8, 12,13,14), participant dropout is common because of the inconvenience of wearing an accelerometer15). For example, Matsunaga et al. researched physical activity using accelerometers and health-related quality of life using questionnaires in patients 5 years after total hip arthroplasty for; the dropout rate for physical activity measurement was 64.3% and that for the questionnaire was 43.0%37). The SLPAQ-10 can be used in long-term physical activity follow-up studies. In this study, the participants were inactive individuals because patients with lower limb arthroplasty mostly engage in light-intensity physical activity and sedentary behavior. Although previous studies of light-intensity physical activity scales involved individuals from the general population17, 19, 21,22,23), our questionnaire could be applied to populations that find performing MVPA difficult. Meanwhile, a survey comparing the physical activity of community-dwelling adults aged ≥50 years reported that participants who spend more time performing light-intensity physical activity also tend to spend more time performing MVPA38). The use of an additional MVPA questionnaire, such as the International Physical Activity Questionnaire20), to capture MVPA is recommended as a complement to the SLPAQ-10 for physical activity studies. The importance of light-intensity physical activity in health promotion has been gaining acceptance in recent years. According to a nationwide survey in the United States, 300 min/week of light-intensity physical activity are recommended for older adults11). In an accelerometer-based retrospective survey in the United States, all-cause mortality risk was reduced by 14% for every increase of 60 min/day of light-intensity physical activity in those who self-reported that MVPA was difficult or impossible to perform without assistance10); therefore, light-intensity physical activity instead can be effective for people who have difficulty performing high-intensity physical activity, and the SLPAQ-10 is useful for capturing light-intensity physical activity. In an intervention study to decrease sedentary behavior, people with rheumatoid arthritis were instructed to increase the amount of light-intensity physical activity and reported a significant decrease in sedentary behavior39). Though this study measured sedentary behavior with an accelerometer, our questionnaire could be used in such intervention studies. While the SLPAQ-10 had higher Spearman correlations than those demonstrated by previous scales20), and Bland-Altman plots demonstrated that 0 was within the 95% CI, Bland–Altman plots also showed proportional biases. This indicates the SLPAQ-10 variables were higher than the accelerometer variables. Additionally, in a previous study, participants tended to over-report physical activity because of factors such as social desirability40). This study has a couple of limitations. Sedentary behavior measured by the SLPAQ-10 had a low correlation with that measured by the accelerometer. However, sedentary behavior scales often show no significant correlation or low correlation with accelerometer data because of factors such as excessive capture of immobilization time during sedentary behavior by the accelerometer20, 41). The generalizability of the SLPAQ-10 to all middle-aged and older adults with an inactive lifestyle is limited because this study was based on patients who had undergone hip and/or knee total joint replacement surgery. It will be necessary to investigate the adaptability of the SLPAQ-10 to inactive people other than patients with hip or/and knee total joint replacements.

Conflict of interest

There are no conflicts of interest to declare.
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