Reliability and relative validity of three physical activity questionnaires in Taizhou population of China: the Taizhou Longitudinal Study

Hu, Bin; Lin, L.F.; Zhuang, Maoqiang; Yuan, Ziyu; Li, S.Y.; Yang, Yajun; Lü, Ming; Yu, Shudong; Jin, Li; Ye, W.M.; Wang, X.F.

doi:10.1016/j.puhe.2015.03.024

Cited by 24 publications

(22 citation statements)

References 29 publications

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“…The IPAQ has been evaluated extensively among diverse, international populations (Duncan, Arbour-Nicitopoulos, Subramanieapillai, Remington, & Falukner, 2016;Kruger et al, 2017;Wanner et al, 2016). Acceptable test-retest reliability (0.47-0.80 depending on study) and criterion validity for this instrument have been documented (Duncan et al, 2016;Hu et al, 2015).…”

Section: Physical Activitymentioning

confidence: 99%

The impact of length of stay on recovery measures in faith‐based addiction treatment

Lashley

2018

Public Health Nursing

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Section: Physical Activitymentioning

confidence: 99%

The impact of length of stay on recovery measures in faith‐based addiction treatment

Lashley

2018

Public Health Nursing

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“…Some of China's most eminent epidemiologists and physical anthropologists presented their research methods and results in an impressive manner, and have since published their data (e.g. Hu et al 2015;Tang et al 2015). At the same time, however, I was struck by the major claims the research made on the basis of the research conducted in and around Taizhou: the data generated by the cohort study seemed to be relevant not just to Taizhou, but to geographies of a much larger scale, such as China, Asia and the world.…”

Section: Introductionmentioning

confidence: 99%

The justification of studies in genetic epidemiology – political scaling in China Medical City

Sleeboom-Faulkner

2018

Anthropology & Medicine

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Genetic epidemiology examines the role of genetic factors in determining health and disease in families and in populations to help addressing health problems in a responsible manner. This paper uses a case study of genetic epidemiology in Taizhou, China, to explore ways in which anthropology can contribute to the validation of studies in genetic epidemiology. It does so, first, by identifying potential overgeneralizations of data, often due to mismatching scale and, second, by examining it's embedding in political, historical and local contexts. The example of the longitudinal cohort study in Taizhou illustrates dimensions of such 'political scaling'. Political scaling is a notion used here to refer to the effects of scaling biases in relation to the justification of research in terms of relevance, reach and research ethics. The justification of a project on genetic epidemiology involves presenting a maximum of benefits and a minimum of burden for the population. To facilitate the delineation of political scaling, an analytical distinction between donating and benefiting communities was made using the notions of 'scaling of relevance', 'scaling of reach' and 'scaling of ethics'. Political scaling results at least partly from factors external to research. By situating political scaling in the context of historical, political and local discourses, anthropologists can play a complementary role in genetic epidemiology.

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“…Physical inactivity poses a behavioral risk factor for some types of non-communicable diseases (NCDs) including cardiovascular diseases, stroke, high blood pressure, non–insulin-dependent diabetes mellitus, osteoporosis, and certain types of malignancies. 1-5 Nevertheless, only a small proportion of individuals gets sufficiently adequate PA. 6 …”

Section: Introductionmentioning

confidence: 99%

“…7,8 In data collection at the population level, selecting appropriate and precise estimation method to measure PA as a variable is a challenging task for investigators. 5-9 In comparison, a variety of methods have been used to assess PA, such as self-reports (interviews, diaries, and questionnaires) and doubly-labeled water at population-based studies. Self-reported PA questionnaires are usually chosen as the most feasible methods to assess PA. As such questionnaires are inexpensive, brief, and have general acceptance, they can be applied to measure the frequency, duration, and intensity of PA. 10,11 …”

Section: Introductionmentioning

confidence: 99%

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Psychometric evaluation of a self-reported physical activity questionnarie used in the pilot phase of the AZAR Cohort Study

Mirzaei¹,

Asghari‐Jafarabadi²,

Amini-Sani³

et al. 2016

Health Promot Perspect

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Background: The purpose of this study was to assess the psychometric properties of a self-reported physical activity (PA) questionnaire based on data from the pilot phase of the AZAR Cohort Study. Methods: In this cross-sectional study, all 35-70 years old people living in Khameneh, a city in East Azarbaijan, Iran were invited to take part in the pilot phase of the AZAR Cohort Study. A total of 952 people completed the self-reported PA questionnaire and the International Physical Activity Questionnaire (IPAQ). Construct validity was evaluated by exploratory and confirmatory factor analyses (EFA and CFA). Spearman’s correlation coefficient between the scores of the two instruments was used to examine the concurrent validity. Reliability was measured using intraclass correlation coefficient (ICC) and Cronbach’s alpha coefficient. Results: In EFA applying principal component analysis with varimax rotation, four factors were identified including recreational leisure time (variance = 52.73%), sedentary leisure time (variance = 38.68%), household/gardening work (variance = 38.66%), and occupation work (variance = 12.67%). The extracted factors were also supported by the CFA (CFI = 0.98, GFI =0.936, RMSEA=0.057). The results indicated moderate concurrent validity (ρ = 0.62, P < 0.001). ICC and Cronbach’s alpha were 0.59 and 0.7, respectively. Conclusion: These results showed acceptable and moderate psychometric properties for the self-reported PA questionnaire to assess PA in this population-based study.

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Reliability and relative validity of three physical activity questionnaires in Taizhou population of China: the Taizhou Longitudinal Study

Cited by 24 publications

References 29 publications

The impact of length of stay on recovery measures in faith‐based addiction treatment

The impact of length of stay on recovery measures in faith‐based addiction treatment

The justification of studies in genetic epidemiology – political scaling in China Medical City

Psychometric evaluation of a self-reported physical activity questionnarie used in the pilot phase of the AZAR Cohort Study

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