Criterion Validity of the Sedentary Behavior Question From the Global Physical Activity Questionnaire in Older Adults

2020 ◽  
Vol 17 (1) ◽  
pp. 2-12 ◽  
Author(s):  
Miguel A. de la Cámara ◽  
Sara Higueras-Fresnillo ◽  
Verónica Cabanas-Sánchez ◽  
Kabir P. Sadarangani ◽  
David Martinez-Gomez ◽  
...  

Background: To assess the validity of the single question to determine sedentary behavior (SB) by using the Global Physical Activity Questionnaire (GPAQ) in older adults. Methods: The sample included 163 participants (96 women) aged 65–92 years. Self-reported SB was obtained from the GPAQ. Objectively measured SB was assessed using the Intelligent Device for Energy Expenditure and Activity. Participants wore the Intelligent Device for Energy Expenditure and Activity continuously during 2 consecutive days while following their daily routine. The relative validity was assessed using the Spearman rank correlation coefficient (ρ), and the agreement was examined using mean bias and 95% limit of agreement with the Intelligent Device for Energy Expenditure and Activity as reference. Results: The results showed small correlations (ρ = .291, P < .001) between the SB from the GPAQ and the objective measures, and ranged from ρ = .217 to ρ = .491 depending on the potential moderator. Similarly, the GPAQ underestimates the SB for approximately 2 hours per day in older adults (limit of agreement = −7.3 to 3.4 h/d). Conclusion: The GPAQ may not be the most suitable questionnaire for measuring SB in this population and should be used with caution because those studies that use this questionnaire in older adults may have an inaccurate measurement of SB levels.

Author(s):  
Rasmus T. Larsen ◽  
Christoffer B. Korfitsen ◽  
Carsten B. Juhl ◽  
Henning Boje Andersen ◽  
Henning Langberg ◽  
...  

Aim: To investigate the concurrent validity of the International Physical Activity Questionnaire-short form (IPAQ-SF) and the Nordic Physical Activity Questionnaire-short (NPAQ-short) when compared with objectively measured daily steps among older adults. Methods: Spearman’s ρ between IPAQ-SF and NPAQ-short and objectively measured steps using Garmin Vivofit 3 physical activity monitors. Results: A total of 54 participants were included. The IPAQ-SF subscales’ moderate physical activity (PA), moderate to vigorous PA (MVPA), and sedentary time showed little or no correlation with daily steps. The NPAQ-short subscales’ vigorous PA, moderate PA, and MVPA showed little or no correlation. The IPAQ-SF subscales’ vigorous PA and walking showed fair correlation. Only the IPAQ-SF metabolic equivalent of task minutes showed moderate to good correlation with daily steps. The IPAQ-SF categories and NPAQ-short categorization of World Health Organization compliance were significantly different, but the magnitudes were small and distributions indicated problems with the categorization. Conclusion: The concurrent validity is low, as the scores did not reflect objectively measured daily steps.


2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Kristen M. Metcalf ◽  
Barbara I. Baquero ◽  
Mayra L. Coronado Garcia ◽  
Shelby L. Francis ◽  
Kathleen F. Janz ◽  
...  

2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Maria Elisabeth Adeline Ra Pati Tiala ◽  
George N. Tanudjaja ◽  
Sonny J. R. Kalangi

Abstract: Background. Obesity has become a worldwide problem. Obesity is caused by energy intake that is greater than energy expenditure. Physical activity is one of energy expenditure. Measuring waist circumference is a method that frequently done to determine obesity. Physical activity can reduce waist circumference regarding decreased body fat percentage especially in visceral fat. Objective. This research was aimed to know the relationship between physical activity and waist circumference in central obese students. Method. An observational method with cross sectional design research was done in November and December 2012 in Saint Ignatius Catholic High School Malalayang Manado. Global Physical Activity Questionnaire (GPAQ) is used in measuring physical activity. Waist circumference was measured with OneMed tape. The analysis used Spearman correlation test. Result. The waist circumferences of 61 respondents were in central obesity. The lowest value of Metabolic Energy Turnover (MET) was 900 MET-minutes/week and the highest was 2,900 MET-minutes/week. In 10 men respondents, the smallest waist circumference was 90.2 cm and the biggest was 110.5 cm. In 51 women respondents, the smallest waist circumference was 80.3 cm and the biggest was 99.0 cm. Conclusion. There was no significant relationship between physical activity and waist circumference (p=0,077). Keyword: physical activity, waist cifcumference, obesity, central obese.   Abstrak: Latar Belakang. Obesitas menjadi masalah di seluruh dunia. Obesitas disebabkan karena masukan energi melebihi penggunaan energi. Aktivitas fisik ialah salah satu penggunaan energi. Cara yang sering digunakan untuk menentukan obesitas yaitu dengan mengukur lingkar pinggang. Aktivitas fisik mampu menurunkan ukuran lingkar pinggang karena berkaitan dengan penurunan persentase lemak tubuh terutama lemak viseral. Tujuan. Penelitian ini bertujuan untuk mengetahui hubungan antara aktivitas fisik dengan lingkar pinggang pada siswa obes sentral. Metode. Penelitian observasional dengan desain cross sectional dilaksanakan pada Bulan November sampai Desember 2012 di SMA Katolik Santo Ignatius Malalayang Manado. Pengukuran aktivitas fisik menggunakan kuesioner Global Physical Activity Questionnaire (GPAQ). Lingkar pinggang diukur dengan pita ukur OneMed. Analisis menggunakan uji korelasi Spearman. Hasil. Sebanyak 61 responden mempunyai lingkar pinggang dengan obes sentral. Nilai Metabolic Energy Turnover (MET) terendah ialah 900 MET-menit/minggu dan tertinggi ialah 2.900 MET-menit/minggu. Pada 10 responden laki-laki, lingkar pinggang paling kecil yaitu 90,2 cm dan paling besar 110,5 cm. Pada 51 responden perempuan, lingkar pinggang paling kecil ialah 80,3 cm dan paling besar ialah 99,0 cm. Simpulan. Tidak terdapat hubungan yang signifikan antara aktivitas fisik dengan lingkar pinggang (p=0,077). Kata kunci: aktivitas fisik, lingkar pinggang, obesitas, obes sentral.


Author(s):  
Magdalena Król-Zielińska ◽  
Monika Ciekot-Sołtysiak ◽  
Wiesław Osiński ◽  
Adam Kantanista ◽  
Jacek Zieliński ◽  
...  

The aim of the study is to assess the reliability and validity of the Polish adaptation of the Physical Activity Questionnaire for the Elderly (PAQE-PL). One hundred and four older adults (75 women and 29 men) aged 65 to 89 (mean 72.2 ± 5.7 years) participated in the study. The test–retest procedure was used to evaluate the reliability of the PAQE-PL. Validity was assessed by comparing the results of the PAQE-PL with the measurements from an accelerometer (ActiGraph wGT3X+) and two questionnaires: the Polish version of the Community Healthy Activities Model Program for Seniors (CHAMPS-PL) and the Polish version of the Yale Physical Activity Survey (YPAS-PL). All test–retest interclass correlation coefficients (ICCs) were significant (ranged from 0.64 to 0.92). The long-term stability showed significant ICCs (ranged from 0.38 to 0.87) for all participants. In regard to validity, the obtained correlation coefficients were relatively low but statistically significant for all participants between the PAQE-PL scores and energy expenditure (r ranging from 0.25 to 0.26) measured by the accelerometer. The PAQE-PL correlated with almost all CHAMPS-PL indices, YPAS-PL energy expenditure, and total physical activity time. The results suggest that the adaptation of the PAQE-PL is an acceptable tool to estimate the physical activity level among older adults in the Polish population. We recommend the cautious and well-thought-out use of the PAQE-PL with a population of older women.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li-Tang Tsai ◽  
Eleanor Boyle ◽  
Jan C. Brønd ◽  
Gry Kock ◽  
Mathias Skjødt ◽  
...  

Abstract Background Older adults are recommended to sleep 7–8 h/day. Time in bed (TIB) differs from sleep duration and includes also the time of lying in bed without sleeping. Long TIB (≥9 h) are associated with self-reported sedentary behavior, but the association between objectively measured physical activity, sedentary behavior and TIB is unknown. Methods This study was based on cross-sectional analysis of the Healthy Ageing Network of Competence (HANC Study). Physical activity and sedentary behaviour were measured by a tri-axial accelerometer (ActiGraph) placed on the dominant wrist for 7 days. Sedentary behavior was classified as < 2303 counts per minute (cpm) in vector magnitude and physical activity intensities were categorized, as 2303–4999 and ≥ 5000 cpm in vector magnitude. TIB was recorded in self-reported diaries. Participants were categorized as UTIB (usually having TIB 7–9 h/night: ≥80% of measurement days), STIB (sometimes having TIB 7–9 h/night: 20–79% of measurement days), and RTIB (rarely having TIB 7–9 h/night: < 20% of measurement days). Multinominal regression models were used to calculate the relative risk ratios (RRR) of being RTIB and STIB by daily levels of physical activity and SB, with UTIB as the reference group. The models were adjusted for age, sex, average daily nap length and physical function. Results Three hundred and fourty-one older adults (median age 81 (IQR 5), 62% women) were included with median TIB of 8 h 21 min (1 h 10 min)/day, physical activity level of 2054 (864) CPM with 64 (15) % of waking hours in sedentary behavior. Those with average CPM within the highest tertile had a lower RRR (0.33 (0.15–0.71), p = 0.005) for being RTIB compared to those within the lowest tertile of average CPM. Accumulating physical activity in intensities 2303–4999 and ≥ 5000 cpm/day did not affect the RRR of being RTIB. RRR of being RTIB among highly sedentary participants (≥10 h/day of sedentary behavior) more than tripled compared to those who were less sedentary (3.21 (1.50–6.88), p = 0.003). Conclusions For older adults, being physically active and less sedentary was associated with being in bed for 7–9 h/night for most nights (≥80%). Future longitudinal studies are warranted to explore the causal relationship sbetween physical activity and sleep duration.


Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Thomas W Buford ◽  
Don G Hire ◽  
Walter T Ambrosius ◽  
Stephen D Anton ◽  
Timothy S Church ◽  
...  

Introduction: In middle-aged adults, time spent being sedentary is associated with cardiovascular (CV) health risks independent of structured physical activity (PA). However, data are sparse regarding the impact of sedentary behavior on CV risk in older adults. The extent to which the absolute duration or intensity of daily PA reduces CV risk in older adults is also unknown. Objectives: Our objective was to examine the cross-sectional association between objectively-measured sedentary behavior and predicted CV risk among older adults in the Lifestyle Interventions and Independence for Elders (LIFE) study. The secondary objective was to evaluate associations between the duration/intensity of daily PA and predicted CV risk. Methods: LIFE is a randomized clinical trial to determine if regular PA prevents mobility disability among mobility-limited older adults. Activity data were collected by hip-worn accelerometer at baseline prior to participation in study interventions. Only participants with at least three days of accelerometry data (≥ 10 hrs wear time) were included. Unadjusted and adjusted linear regression was used to model the relationship between accelerometry measures and predicted 10-year Framingham risk of Hard Coronary Heart Disease (HCHD; i.e. myocardial infarction or coronary death). Adjusted models included demographic confounders (e.g. education, race, income) and health parameters (e.g. depression, cognition, arthritis) not in the risk score. Accelerometry cut-points were (in counts/min): sedentary behavior: < 100; low-intensity activity: 100-499; higher intensity activity: > 500. Results: Participants (n = 1170; 78.7 ± [SD] 5.3 years; 66.1% female) had a median HCHD risk of 10.3% (25 th -75 th %: 5.7-18.6). Over a mean accelerometer wear time of 8.1 ± 3.2 days, participants spent 77.0 ± 8.2% of their time sedentary. They also spent 16.6 ± 5.0% of their time in low-intensity PA and 6.4 ± 4.4% in higher-intensity PA. For all PA performed (> 100 counts/min), participants achieved a median of 393.4 (337.8-473.5) counts/min. In the unadjusted model, time spent sedentary (β = 2.41; 95% CI : 1.94, 2.89), in low-intensity PA (-2.56; -3.03, -2.08), and in higher-intensity PA (-1.60; -2.09, -1.11) were all associated with HCHD risk (all p’s < 0.001). These associations remained significant after adjustment. The mean intensity of daily PA was not significantly associated with HCHD risk in any model (p > 0.05). Conclusions: Daily time spent being sedentary is positively associated with predicted 10-year HCHD risk among mobility-limited older adults. Duration, but not mean intensity, of daily PA is inversely associated with HCHD risk score in this population.


Author(s):  
Oliver Vogel ◽  
Daniel Niederer ◽  
Jan Wilke ◽  
Maike Steinmann ◽  
Lutz Vogt

This study investigates methods of data gathering and management, along with the relationship of lifespan and older adults’ activity. Community-dwelling older adults (n = 47, 81.7 ± 3.6 years) completed the Lifetime Leisure Physical Activity Questionnaire. Current activity was assessed by use of accelerometers. The data were converted to the metabolic equivalent of task hours. Correlations between the main outcomes (metabolic equivalent of task/hour, Lifetime Leisure Physical Activity Questionnaire), as well as individual estimation errors for data adjustments, were computed. The accelerometer and Lifetime Leisure Physical Activity Questionnaire data for the last 12 months’ activity were associated (r = .31, p = .033). The average overestimation in the self-reported data was 176%. The adapted data on lifetime physical activity reveals correlations between older adults’ activity and the activity levels of three 15-year episodes (r = .354; r = .336; r = .323; each p < .05), as well as compliance with guidelines throughout life (Hotelling’s T2 = 45–164; p ≤ .002). Our findings indicate a relationship between lifetime and older adults’ activity and provide further support for lifelong engagement in physical activity.


2021 ◽  
Vol 31 (2) ◽  
pp. 134-142
Author(s):  
Nguyễn Văn Trung ◽  
Huỳnh Thị Hồng Thu ◽  
Lê Thị Kiều Xuân ◽  
Đặng Văn Thạch

Nghiên cứu nhằm mục tiêu mô tả mức độ vận động thể lực (VĐTL) theo khuyến cáo ở người bệnh tăng huyết áp tại bệnh viện đa khoa Trung tâm Tiền Giang năm 2020. Thiết kế mô tả cắt ngang trên 279 người bệnh tăng huyết áp điều trị ngoại trú bằng phỏng vấn trực tiếp với công cụ GPAQ (Global physical activity questionnaire). Kết quả cho thấy người bệnh tăng huyết áp trong nghiên cứu có cường độ VĐTL đạt mức khuyến cáo là 70,6%. Đối tượng có học vấn trung học phổ thông trở lên tham gia VĐTL đạt khuyến cáo cao hơn (77,6% so với 63,9%) có ý nghĩa thống kê (p = 0,03). Người bệnh có công việc buôn bán liên quan cường độ VĐTL thấp hơn tiêu chuẩn với p = 0,01. Nghiên cứu nhận định sự tuân thủ VĐTL ở người bệnh còn hạn chế trong quản lý bệnh tăng huyết áp. Các yếu tố liên quan như sự hỗ trợ xã hội, đặc điểm côngtrình an sinh công cộng và yếu tố tâm lý nên được khảo sát ở nghiên cứu tiếp theo.


2019 ◽  
Vol 27 (3) ◽  
pp. 44-55 ◽  
Author(s):  
Junga Lee ◽  
Choae Lee ◽  
Jihee Min ◽  
Dong-Woo Kang ◽  
Ji-Young Kim ◽  
...  

The goal of this study was to develop a Korean version of the Global Physical Activity Questionnaire (K-GPAQ) and to examine its reliability and validity. The English version of the GPAQ was translated to the Korean language (K-GPAQ) via forward–backward translation. Reliability of the K-GPAQ was evaluated using a one-week interval test–retest method with 115 individuals. Criterion-related validity of the K-GPAQ was examined with 199 participants using accelerometers. Cohen’s kappa and Spearman’s correlation coefficients were used to measure test–retest reliability and validity, respectively. A Bland–Altman analysis was used to assess agreement between physical activity (PA) levels measured via K-GPAQ and the accelerometer. Coefficients for the reliability of the K-GPAQ showed moderate agreement for recreational PA and slight agreement for work-related PA (Cohen’s kappa: 0.60–0.67 for recreational PA and 0.30–0.38 for work-related PA and Spearman’s rho: 0.27–0.47 for work-related PA and 0.53–0.70 for recreational PA). Criterion validity of the total amount of PA, as measured by the K-GPAQ and the accelerometer, showed a weak but significant correlation ( r = 0.34, p < 0.01). The K-GPAQ is a reliable and valid questionnaire to measure PA although K-GPAQ overestimated PA levels.


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