Cited by 758Physical Activity and HealthIndigenous Health and EducationDiabetes, Cardiovascular Risks, and Lipoproteins

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Development of Questionnaire to Examine Relationship of Physical Activity and Diabetes in Pima Indians

Kriska, Andrea M, Knowler, William C, LaPorte, Ronald E, Drash, Allan L, Wing, Rena R, Blair, Steven N, Bennett, Peter H, Kuller, Lewis H·1990·Diabetes Care

DOI 10.2337/diacare.13.4.401

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Abstract

There was a need to design a questionnaire that could accurately assess the activity patterns of Native Americans to evaluate the relationship between physical activity and diabetes. Such a questionnaire was developed and implemented into the data collection scheme of the prospective Pima Indian Study of Arizona. The questionnaire, which assesses historical, past-year, and past-week leisure and occupational activity, was examined in 29 Pima individuals aged 21-36 yr and was shown to be reliable with test-retest correlations (rank-order correlations ranged from 0.62 to 0.96 for leisure and occupational activity). Reproducibility of the past-year leisure physical-activity estimate was determined in 69 participants aged 10-59 yr and was found to be reliable in all age-groups with the exception of the 10- to 14-yr-old age-group (rank-order correlations were 0.31 in the 10- to 14-yr-old age-group compared to 0.88 to 0.92 in those greater than 20 yr of age). Validity of the current-activity section of the questionnaire was demonstrated indirectly through comparisons with activity monitors. The past-week leisure-activity estimate was related to the Caltrac activity monitor counts per hour (rho = 0.62, P less than 0.05, n = 17). In summary, a physical-activity questionnaire has been developed that is both reliable and feasible to use in the Pima Indian population to evaluate the relationship of physical activity to non-insulin-dependent diabetes mellitus.

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Physical activity of Aboriginal people in CanadaThis article is part of a supplement entitledAdvancing physical activity measurement and guidelines in Canada: a scientific review and evidence-based foundation for the future of Canadian physical activity guidelinesco-published byApplied Physiology, Nutrition, and Metabolismand theCanadian Journal of Public Health. It may be cited as Appl. Physiol. Nutr. Metab. 32(Suppl. 2E) or as Can. J. Public Health 98(Suppl. 2).
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Self-citation
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Background
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Method
Association between homocysteine and incidence of ischemic stroke in subjects with essential hypertension: A matched case-control study
Wang, C., Han, L., Wu, Q., Zhuo, R., Liu, K., Zhao, J., Zhang, L., Hao, Y., Fan, R., Liu, Y., et al. (2015) · Clinical and Experimental Hypertension · doi:10.3109/10641963.2015.1026039 · Cited by 22
“Both leisure and occupational physical activity levels were assessed, as in previous studies (14,15).”
Method
Shifting Motivations: Young Women’s Reflections on Physical Activity Over Time and Across Contexts
O’Dougherty, M., Kurzer, M. S., & Schmitz, K. H. (2010) · Health Education & Behavior · doi:10.1177/1090198110361316 · Cited by 25
“Questionnaire (Kriska, 1997; Kriska et al., 1990) between participants from the exercise and control groups who went on to join WISER-PS.”
BackgroundMethod
Leisure-time physical activity and sedentary behavior clusters and their associations with overweight in middle-aged French adults
Charreire, H., Casey, R., Salze, P., Kesse-Guyot, E., Simon, C., Chaix, B., Banos, A., Badariotti, D., Touvier, M., Weber, C., et al. (2010) · International Journal of Obesity · doi:10.1038/ijo.2010.39 · Cited by 22
Leisure‐time physical activity and incidence of objectively assessed hearing loss: The Niigata Wellness Study
Kawakami, R., Sawada, S. S., Kato, K., Gando, Y., Momma, H., Oike, H., Miyachi, M., Lee, I.-M. M., Tashiro, M., Horikawa, C., et al. (2021) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.14089 · Cited by 23
Global Self-Regulation and Outcome Expectations: Influences on Constraint Self-Regulation and Physical Activity
Son, J. S., Kerstetter, D. L., Mowen, A. J., & Payne, L. L. (2009) · Journal of Aging and Physical Activity · doi:10.1123/japa.17.3.307 · Cited by 27
A Preliminary Evaluation of a Pedometer-Assessed Physical Activity Self-Monitoring Survey
Tudor‐Locke, C., Lind, K. A., Reis, J. P., Ainsworth, B. E., & Macera, C. A. (2004) · Field Methods · doi:10.1177/1525822x04269171 · Cited by 21
“Furthermore, walking (in all its forms) is unreliably recalled (Kriska et al. 1990; Ainsworth et al. 1993).”
Background
Body Composition, Dietary Intake, and Energy Expenditure in Nonobese, Prepubertal Children of Obese and Nonobese Biological Mothers
Francis, C. C., BOPE, A. A., MaWhinney, S., Czajka-Narins, D. M., & Alford, B. B. (1999) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(99)00017-6 · Cited by 20
Diet-dependent acid load and the risk of colorectal cancer and adenoma: a case–control study
Nasab, S. J., Rafiee, P., Bahrami, A., Rezaeimanesh, N., Rashidkhani, B., Sohrab, G., Naja, F., Hejazi, E., & Sadeghi, A. (2020) · Public Health Nutrition · doi:10.1017/s1368980020003420 · Cited by 21
“Furthermore, physical activity was assessed by a validated questionnaire in which participants were asked to specify the time of their leisure and occupational activity which were weighted based on intensity level(23,24).”
Higher daily physical activity levels may facilitate pre-diabetes regression to normoglycemia: A longitudinal study among an Iranian population
Bahadoran, Z., Mirmiran, P., Shabani, M., & Azizi, F. (2023) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2023.102233 · Cited by 24
Acute exercise improves endothelial function despite increasing vascular resistance during stress in smokers and nonsmokers
Rooks, C. R., McCully, K. K., & Dishman, R. K. (2011) · Psychophysiology · doi:10.1111/j.1469-8986.2011.01194.x · Cited by 22
The PPARγ Pro12Ala Polymorphism Is Not Associated with Body Mass Index or Waist Circumference among Hispanics from Colorado
Nelson, T. L., Fingerlin, T. E., Moss, L. K., Barmada, M. M., Ferrell, R. E., & Norris, J. M. (2007) · Annals of Nutrition and Metabolism · doi:10.1159/000104145 · Cited by 20
“and probable genotyping errors were retyped. Genotypes that resulted in Mendelian inconsistencies that could not be resolved by retyping were set to missing. Anthropometrics and Diabetes Status Weight was measured in kilograms using a balance beam scale calibrated weekly with standard weights. Subjects were measured i…”
Influential
Position de consensus : activité physique et obésité chez l’enfant et chez l’adulte
Duclos, M., Duché, P., Guezennec, C. Y., Richard, R., Rivière, D., & Vidalin, H. (2010) · Science & Sports · doi:10.1016/j.scispo.2010.04.001 · Cited by 22
Women In Steady Exercise Research (WISER) Sister: Study design and methods
Schmitz, K. H., Williams, N. I., Despina Kontos, B., Kurzer, M. S., Schnall, M. D., Domchek, S. M., Stopfer, J. E., Galantino, M. L., Hwang, W., Morales, K. H., et al. (2015) · Contemporary Clinical Trials · doi:10.1016/j.cct.2014.12.016 · Cited by 21
Risk of all-cause mortality in abdominal obesity phenotypes: Tehran Lipid and Glucose Study
Doustmohamadian, S., Serahati, S., Barzin, M., et al. (2016) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2016.11.123 · Cited by 21
“Due to the lack of precision of the LRC, the Modifiable Activity Questionnaire (MAQ) which measu res all three types of activity including leisure time, job and household activities (19) was used in the rest of follow-up examinations.”
Method
The ratio of pericardial to subcutaneous adipose tissues is associated with insulin resistance
Alman, A. C., Smith, S. R., Eckel, R. H., Hokanson, J. E., Burkhardt, B. R., Sudini, P. R., Wu, Y., Schauer, I. E., Pereira, R. I., & Snell‐Bergeon, J. K. (2017) · Obesity · doi:10.1002/oby.21875 · Cited by 22
“Minutes of moderate- or vigorous-intensity activity over the previous week were obtained from the Modifiable Activity Questionnaire (28) and combined into a single variable of moderate intensity-equivalent activity (MIEA; moderate 1 [vigorous 3 2]).”
Method
Western Dietary Pattern Interaction with APOC3 Polymorphism in the Risk of Metabolic Syndrome: Tehran Lipid and Glucose Study
Hosseini‐Esfahani, F., Mirmiran, P., DANESHPOUR, M. S., Mehrabi, Y., Hedayati, M., Zarkesh, M., & Azizi, F. (2014) · Lifestyle Genomics · doi:10.1159/000365445 · Cited by 21
Physical inactivity as a risk factor for diabetic retinopathy? A review
Dirani, M., Crowston, J. G., & van Wijngaarden, P. (2014) · Clinical and Experimental Ophthalmology · doi:10.1111/ceo.12306 · Cited by 24
Determinants of longitudinal change in insulin clearance: the Prospective Metabolism and Islet Cell Evaluation cohort
Semnani‐Azad, Z., Johnston, L., Lee, C., Retnakaran, R. R., Connelly, P. W., Harris, S. B., Zinman, B., & Hanley, A. J. (2019) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2019-000825 · Cited by 20
Vascular smooth muscle responsiveness to nitric oxide is reduced in healthy adults with increased adiposity
Christou, D. D., Pierce, G. L., Walker, A. E., Hwang, M., Yoo, J., Luttrell, M. J., Meade, T. H., English, M. W., & Seals, D. R. (2012) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00394.2012 · Cited by 20
Factors related to lifestyle goal achievement in a diabetes prevention program dissemination study
Eaglehouse, Y. L., Venditti, E. M., Kramer, M. K., Arena, V. C., Vanderwood, K. K., Rockette‐Wagner, B., & Kriska, A. M. (2017) · Translational Behavioral Medicine · doi:10.1007/s13142-017-0494-0 · Cited by 21
Self-citation
Yoga, as a transitional platform to more active lifestyle: a 6-month pilot study in the USA
Yang, K., & James, K. A. (2014) · Health Promotion International · doi:10.1093/heapro/dau108 · Cited by 20
Revue critique des questionnaires d’activité physique administrés en population française et perspectives de développement
Vuillemin, A., Speyer, É., Simon, C., Ainsworth, B. E., & Paineau, D. (2012) · Cahiers de Nutrition et de Diététique · doi:10.1016/j.cnd.2012.04.002 · Cited by 29
Effect of healthy diet and exercise on chemotherapy completion rate in women with breast cancer: The Lifestyle, Exercise and Nutrition Early after Diagnosis (LEANer) study: Study protocol for a randomized clinical trial
Sanft, T. B., Harrigan, M., Cartmel, B., Ferrucci, L. M., Li, F., McGowan, C. J., Zupa, M., Nguyen, T. H., Ligibel, J. A., Neuhouser, M. L., et al. (2021) · Contemporary Clinical Trials · doi:10.1016/j.cct.2021.106508 · Cited by 19
Dietary Quality and 6-Year Anthropometric Changes in a Sample of French Middle-Aged Overweight and Obese Adults
Assmann, K. E., Lassale, C. M., Galan, P., Herçberg, S., & Kesse‐Guyot, E. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087083 · Cited by 19
“62 with counts from an electronic single-plane accelerometer [28].”
Inverse relation between fruit and vegetable intake and the risk of gestational diabetes mellitus
Mirmiran, P., Hosseinpour‐Niazi, S., Moghaddam‐Banaem, L., Lamyian, M., Goshtasebi, A., & Azizi, F. (2019) · International Journal for Vitamin and Nutrition Research · doi:10.1024/0300-9831/a000475 · Cited by 22
Impact of 3-year changes in fasting insulin and insulin resistance indices on incident hypertension: Tehran lipid and glucose study
Baghbani‐Oskouei, A., Tohidi, M., Hasheminia, M., Azizi, F., & Hadaegh, F. (2019) · Nutrition & Metabolism · doi:10.1186/s12986-019-0402-3 · Cited by 18
Long-term effects of lifestyle and metformin interventions in DPP on bone density
Schwartz, A. V., Pan, Q., Aroda, V. R., Crandall, J. P., Kriska, A. M., Piromalli, C. S., Wallia, A., Temprosa, M. G., & Florez, H. J. (2021) · Osteoporosis International · doi:10.1007/s00198-021-05989-1 · Cited by 19
Self-citation
Which Food Patterns Are Predictors of Obesity in Tehranian Adults?
Hosseini‐Esfahani, F., Djazaieri, S.-A., Mirmiran, P., et al. (2011) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2010.08.004 · Cited by 19
Discontinuing Hormone Replacement TherapyAttenuating the Effect on CVD Risk With Lifestyle Changes
Gabriel, K. P., Kriska, A. M., CONROY, M., Johnson, B., Orchard, T. J., Goodpaster, B. H., Averbach, F. M., & Kuller, L. H. (2007) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2007.02.019 · Cited by 19
Self-citation
Association of leisure physical activity and sleep with cardiovascular risk factors in postmenopausal women
Casas, R. S., Gabriel, K. P., Kriska, A. M., Kuller, L. H., & Conroy, M. B. (2011) · Menopause The Journal of The North American Menopause Society · doi:10.1097/gme.0b013e318230f531 · Cited by 19
“The MAQ has been previously shown to be a reliable and valid estimate of self-reported physical activity.(23,26,27) High versus low LTPA was defined as above or below the median LTPA (11.”
MethodSelf-citation
Plasma lipoproteins and the incidence of abnormal excretion of albumin in diabetic American Indians: The Strong Heart Study
Fagot‐Campagna, A., Nelson, R. G., Knowler, W. C., Pettitt, D. J., Robbins, D. C., Go, O. T., Welty, T. K., Lee, E. T., & Howard, B. V. (1998) · Diabetologia · doi:10.1007/s001250051023 · Cited by 18
“Participants were interviewed about their Indian heritage, diabetes diagnosis, duration and family history, total physical activity during the past year (including leisure activity, occupational activity and walking, expressed as metabolic equivalent’ per week [ 31 ]) and alcohol consumption.”
BackgroundSelf-citation
Which obesity phenotypes predict poor health-related quality of life in adult men and women? Tehran Lipid and Glucose Study
Amiri, P., Jalali‐Farahani, S., Rezaei, M., Cheraghi, L., Hosseinpanah, F., & Azizi, F. (2018) · PLoS ONE · doi:10.1371/journal.pone.0203028 · Cited by 17
Self-reported and accelerometer-derived physical activity levels and coronary artery calcification progression in older women
Gabriel, K. P., Matthews, K. A., Pérez, A., Edmundowicz, D., Kohl, H. W., Hawkins, M., Janak, J. C., Kriska, A. M., & Kuller, L. H. (2012) · Menopause The Journal of The North American Menopause Society · doi:10.1097/gme.0b013e31826115af · Cited by 18
“From 1983 to 1984, women aged 42 to 50 years were recruited from driver’s license lists within selected zip codes in Allegheny County, PA. Eligible women were invited to a baseline visit.”
BackgroundInfluentialSelf-citation
Overweight and aerobic fitness in children in the United States/Mexico border region
Coleman, K. J., Heath, E. M., & Alcalá-Sánchez, I. G. (2004) · Revista Panamericana de Salud Pública · doi:10.1590/s1020-49892004000400007 · Cited by 18
Physical activity in adolescence and testicular germ cell cancer risk
Littman, A. J., Doody, D. R., Biggs, M. L., Weiss, N. S., Starr, J. R., & Schwartz, S. M. (2009) · Cancer Causes & Control · doi:10.1007/s10552-009-9347-6 · Cited by 18
“Although the parent questionnaire has been shown to have good reliability and validity [20, 21, 33, 34], the modified version used in this study has not been similarly evaluated.”
Method
Revue des questionnaires de mesure de l’activité physique validés chez les enfants et les adolescents
Tessier, S., Vuillemin, A., & Briançon, S. (2007) · Science & Sports · doi:10.1016/j.scispo.2007.10.011 · Cited by 18
Estimated insulin sensitivity predicts regression of albuminuria in Type 1 diabetes
Bjornstad, P., Maahs, D. M., Johnson, R. J., Rewers, M., & Snell‐Bergeon, J. K. (2014) · Diabetic Medicine · doi:10.1111/dme.12572 · Cited by 18

Authors: Kriska, A. M., Knowler, W. C., LaPorte, R. E., Drash, A. L., Wing, R. R., Blair, S. N., Bennett, P. H., & Kuller, L. H.
Affiliations: University of Pittsburgh (US)
ORCID: Kriska, Andrea M
Knowler, William C
Wing, Rena R
Blair, Steven N
Bennett, Peter H
Kuller, Lewis H
Venue: Diabetes Care
Publisher: American Diabetes Association
Published: 1990-04-01
Volume: 13
Issue: 4
Pages: 401-411
ISSN: 0149-5992 (ISSN-L)
1935-5548
DOI: 10.2337/diacare.13.4.401
OpenAlex: W2004395090
Cited by: 755
References: 0
Citations by year: 2026: 9 · 2025: 18 · 2024: 19 · 2023: 31 · 2022: 20 · 2021: 36 · 2020: 35 · 2019: 29 · 2018: 30 · 2017: 28 · 2016: 31 · 2015: 37 · 2014: 36 · 2013: 42 · 2012: 39
FWCI: 1.88
Type: journal article
Language: en
Open access: closed
Locations: Diabetes Care (publishedVersion)
PubMed (publishedVersion)
Scholar Commons (University of South Carolina) (submittedVersion)
Funders: Centers for Disease Control and Prevention
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Indigenous Health and Education
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords: physical activity, diabetes mellitus, Pima Indians, questionnaire development, leisure-time physical activity, occupational physical activity, test-retest reliability, validity, wearable activity trackers, type 2 diabetes, Native Americans
MeSH terms: Adolescent, Adult, Arizona, Child, Diabetes Mellitus, Type 2, Female, Humans, Indians, North American, Male, Middle Aged, Physical Fitness, Surveys and Questionnaires, Reproducibility of Results

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Development of Questionnaire to Examine Relationship of Physical Activity and Diabetes in Pima Indians

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