Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ASCO Annual Meeting 2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

2024 ASCO Annual Meeting

Keep up to date with all the top stories and latest evidence with our hub page, including official congress videos and expert takeaways.
ADVANCED SEARCH
Log in
Top
Journal of Community Health
Published in: Journal of Community Health 6/2011

01-12-2011 | Original Paper

Multiple Measures of Physical Activity, Dietary Habits and Weight Status in African American and Hispanic or Latina Women

Authors: Rebecca E. Lee, Scherezade K. Mama, Ashley V. Medina, Jacqueline Y. Reese-Smith, Jorge A. Banda, Charles S. Layne, Meggin Baxter, Daniel P. O’Connor, Lorna McNeill, Paul A. Estabrooks

Published in: Journal of Community Health | Issue 6/2011

Login to get access

Abstract

Compared measures of physical activity and dietary habits used in the Health Is Power (HIP) study, and described the associations of physical activity and dietary habits among African American and Hispanic or Latino women, adjusted for weight status. Cross-sectional baseline data were compared for community dwelling, healthy African American (N = 262) and Hispanic or Latina women (N = 148) who participated in HIP. Physical activity was measured using the International Physical Activity Questionnaire (IPAQ) long form, the Check And Line Questionnaire (CALQ) log and accelerometry. Dietary habits were measured using NCI 24-h recall screeners, vegetable and fruit (VF) logs and the NCI Diet History Questionnaire (DHQ). Differences in physical activity and dietary habits were assessed using simultaneous 2 (ethnicity) × 3 (weight status) ANCOVAs adjusted for age and socioeconomic status. Women (M age = 44.4 ± 10.9 years) were obese (M = 34.0 ± 9.7 kg/m2), did not meet physical activity guidelines as measured by accelerometry (M = 19.4 ± 19.1 min MVPA/day) and ate few VF (M = 2.8 ± 2.7 servings/day). DHQ variables differed by weight status. IPAQ was associated with CALQ, and CALQ with accelerometry (P < .05). IPAQ was not associated with accelerometry. Regardless of ethnicity, normal weight women did more physical activity, reported more VF consumption, and consumed more fat calories than overweight and obese women (Ps < .05). African American women did more MVPA than Hispanic or Latino women (P < .001). Relationships between behaviors and weight status suggest accelerometry and DHQ are preferable, regardless of ethnicity; and studies may capture different domains of physical activity and dietary habits depending on measure used.
Literature
1.
2.
Stolley, M. R., Fitzgibbon, M. L., Schiffer, L., et al. (2009). Obesity reduction black intervention trial (ORBIT): Six-month results. Obesity (Silver Spring), 17(1), 100–106.CrossRef
3.
Buller, D. B., Woodall, W. G., Zimmerman, D. E., et al. (2008). Randomized trial on the 5 a day, the Rio Grande Way Website, a web-based program to improve fruit and vegetable consumption in rural communities. Journal of Health Communication, 13(3), 230–249.PubMedCrossRef
4.
Savage, J. S., Marini, M., & Birch, L. L. (2008). Dietary energy density predicts women’s weight change over 6 y. American Journal of Clinical Nutrition, 88(3), 677–684.PubMed
5.
Fruit and vegetable consumption among adults–United States, 2005. MMWR Morbidity and Mortality Weekly Report, 56(10), 213–217.
6.
Woolf, K., Reese, C. E., Mason, M. P., Beaird, L. C., Tudor-Locke, C., & Vaughan, L. A. (2008). Physical activity is associated with risk factors for chronic disease across adult women’s life cycle. Journal of the American Dietetic Association, 108(6), 948–959.PubMedCrossRef
7.
Krishnan, S., Rosenberg, L., & Palmer, J. R. (2009). Physical activity and television watching in relation to risk of type 2 diabetes: The Black Women’s Health Study. American Journal of Epidemiology, 169(4), 428–434.PubMedCrossRef
8.
Li, T. Y., Rana, J. S., Manson, J. E., et al. (2006). Obesity as compared with physical activity in predicting risk of coronary heart disease in women. Circulation, 113(4), 499–506.PubMedCrossRef
9.
Ogden, C. L., Carroll, M. D., Curtin, L. R., McDowell, M. A., Tabak, C. J., & Flegal, K. M. (2006). Prevalence of overweight and obesity in the United States, 1999–2004. Journal of the American Medical Association, 295(13), 1549–1555.PubMedCrossRef
10.
He, X. Z., & Baker, D. W. (2005). Differences in leisure-time, household, and work-related physical activity by race, ethnicity, and education. Journal of General Internal Medicine, 20(3), 259–266.PubMedCrossRef
11.
Peterson, K. E., Dubowitz, T., Stoddard, A. M., Troped, P. J., Sorensen, G., & Emmons, K. M. (2007). Social context of physical activity and weight status in working-class populations. Journal of Physical Activity and Health, 4(4), 381–396.PubMed
12.
Wellman, N. S., Kamp, B., Kirk-Sanchez, N. J., & Johnson, P. M. (2007). Eat better & move more: a community-based program designed to improve diets and increase physical activity among older Americans. American Journal of Public Health, 97(4), 710–717.PubMedCrossRef
13.
Zhao, G., Ford, E. S., Li, C., & Mokdad, A. H. (2008). Compliance with physical activity recommendations in US adults with diabetes. Diabetic Medicine, 25(2), 221–227.PubMedCrossRef
14.
Carlson, S. A., Densmore, D., Fulton, J. E., Yore, M. M., & Kohl, H. W., 3rd. (2009). Differences in physical activity prevalence and trends from 3 U.S. surveillance systems: NHIS, NHANES, and BRFSS. Journal of Physical Activity and Health, 6(Suppl 1), S18–S27.PubMed
15.
Marshall, S. J., Jones, D. A., Ainsworth, B. E., Reis, J. P., Levy, S. S., & Macera, C. A. (2007). Race/ethnicity, social class, and leisure-time physical inactivity. Medicine and Science in Sports and Exercise, 39(1), 44–51.PubMedCrossRef
16.
Caspersen, C. J., Pereira, M. A., & Curran, K. M. (2000). Changes in physical activity patterns in the United States, by sex and cross-sectional age. Medicine and Science in Sports and Exercise, 32(9), 1601–1609.PubMed
17.
Ham, S. A., & Ainsworth, B. E. (2010). Disparities in data on healthy people 2010 physical activity objectives collected by accelerometry and self-report. American Journal of Public Health, 100(Suppl 1), S263–S268.PubMedCrossRef
18.
Hawkins, M. S., Storti, K. L., Richardson, C. R., King, W. C., Strath, S. J., Holleman, R. G., et al. (2009). Objectively measured physical activity of USA adults by sex, age, and racial/ethnic groups: A cross-sectional study. International Journal of Behavioral Nutrition and Physical Activity, 6, 31.PubMedCrossRef
19.
Troiano, R. P., Berrigan, D., Dodd, K. W., Masse, L. C., Tilert, T., & McDowell, M. (2008). Physical activity in the United States measured by accelerometer. Medicine and Science in Sports and Exercise, 40(1), 181–188.PubMed
20.
Banda, J. A., Hutto, B., Feeney, A., et al. (2010). Comparing physical activity measures in a diverse group of midlife and older adults. Medicine and Science in Sports Exercise, 42(12), 2251–2257.CrossRef
21.
Smitherman, T. A., Dubbert, P. M., Grothe, K. B., et al. (2009). Validation of the Jackson Heart Study physical activity survey in African Americans. Journal of Physical Activity and Health, 6(Suppl 1), S124–S132.PubMed
22.
Wolin, K. Y., Heil, D. P., Askew, S., Matthews, C. E., & Bennett, G. G. (2008). Validation of the International Physical Activity Questionnaire-short among Blacks. Journal of Physical Activity and Health, 5(5), 746–760.PubMed
23.
Carter-Nolan, P. L., Adams-Campbell, L. L., Makambi, K., Lewis, S., Palmer, J. R., & Rosenberg, L. (2006). Validation of physical activity instruments: Black women’s health study. International Society on Hypertension in Blacks, 16(4), 943–947.
24.
Vella, C. A., Zubia, R. Y., Ontiveros, D., & Cruz, M. L. (2009). Physical activity, cardiorespiratory fitness, and metabolic syndrome in young Mexican and Mexican-American women. Applied Physiology, Nutrition and Metabolism, 34(1), 10–17.CrossRef
25.
Slootmaker, S. M., Schuit, A. J., Chinapaw, M. J., Seidell, J. C., & Van Mechelen, W. (2009). Disagreement in physical activity assessed by accelerometer and self-report in subgroups of age, gender, education and weight status. International Journal of Behavioral Nutrition and Physical Activity, 6, 17.PubMedCrossRef
26.
Sallis, J. F., & Owen, N. (1999). Physical activity and behavioral medicine. Thousand Oaks, CA: Sage.
27.
28.
Di Noia, J., & Contento, I. R. (2009). Use of a brief food frequency questionnaire for estimating daily number of servings of fruits and vegetables in a minority adolescent population. Journal of the American Dietetic Association, 109(10), 1785–1789.PubMedCrossRef
29.
Millen, A. E., Midthune, D., Thompson, F. E., Kipnis, V., & Subar, A. F. (2006). The National Cancer Institute diet history questionnaire: Validation of pyramid food servings. American Journal of Epidemiology, 163(3), 279–288.PubMedCrossRef
30.
Subar, A. F., Thompson, F. E., Kipnis, V., Midthune, D., Hurwitz, P., McNutt, S., et al. (2001). Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires: The Eating at America’s Table Study. American Journal of Epidemiology, 154(12), 1089–1099.PubMedCrossRef
31.
Subar, A. F., Ziegler, R. G., Thompson, F. E., Johnson, C. C., Weissfeld, J. L., Reding, D., et al. (2001). Is shorter always better? Relative importance of questionnaire length and cognitive ease on response rates and data quality for two dietary questionnaires. American Journal of Epidemiology, 153(4), 404–409.PubMedCrossRef
32.
Wang, Y., Liang, H., & Chen, X. (2009). Measured body mass index, body weight perception, dissatisfaction and control practices in urban, low-income African American adolescents. Bio Med Central Public Health, 9, 183.
33.
Crespo, C. J., Smit, E., Andersen, R. E., Carter-Pokras, O., & Ainsworth, B. E. (2000). Race/ethnicity, social class and their relation to physical inactivity during leisure time: Results from the Third National Health and Nutrition Examination Survey, 1988–1994. American Journal of Preventative Medicine, 18(1), 46–53.CrossRef
34.
Tudor-Locke, C., Johnson, W. D., & Katzmarzyk, P. T. (2009). Accelerometer-determined steps per day in US adults. Medicine and Science in Sports Exercise, 41(7), 1384–1391.CrossRef
35.
Hernandez-Valero, M. A., Thomson, C. A., Hernandez, M., et al. (2008). Comparison of baseline dietary intake of Hispanic and matched non-Hispanic white breast cancer survivors enrolled in the Women’s Healthy Eating and Living study. Journal of the American Dietetic Association, 108(8), 1323–1329.PubMedCrossRef
36.
Thomas, S., Reading, J., & Shephard, R. J. (1992). Revision of the Physical Activity Readiness Questionnaire (PAR-Q). Canadian Journal of Sports Science, 17(4), 338–345.
37.
Layne, C. S., Mama, S. K., Banda, J. A., & Lee, R. E. (2011). Development of an ecologically valid approach to assess moderate physical activity using accelerometry in community dwelling women of color: A cross-sectional study. International Journal of Behavioral Nutrition and Physical Activity, 8(1), 21.PubMedCrossRef
38.
39.
Craig, C. L., Marshall, A. L., Sjostrom, M., Bauman, A. E., Booth, M. L., Ainsworth, B. E., et al. (2003). International Physical Activity Questionnaire: 12-country reliability and validity. Medicine and Science in Sports Exercise, 35(8), 1381–1395.CrossRef
40.
Lee, R. E., Mama, S. K., Banda, J. A., Medina, A. V., Reese-Smith, J. Y., Layne, C. S., et al. (2010). Differences across physical activity, dietary habits, and weight in women of color. Annals of Behavioral Medicine, 39(1), S179.
41.
42.
Welk, G. J. (2005). Principles of design and analyses for the calibration of accelerometry-based activity monitors. Medicine and Science in Sports Exercise, 37(11 Suppl), S501–S511.CrossRef
43.
Thompson, F. E., Subar, A. F., Smith, A. F., et al. (2002). Fruit and vegetable assessment: Performance of 2 new short instruments and a food frequency questionnaire. Journal of the American Dietetic Association, 102(12), 1764–1772.PubMedCrossRef
44.
Thompson, F. E., Midthune, D., Subar, A. F., Kipnis, V., Kahle, L. L., & Schatzkin, A. (2007). Development and evaluation of a short instrument to estimate usual dietary intake of percentage energy from fat. Journal of the American Dietetic Association, 107(5), 760–767.PubMedCrossRef
45.
Thompson, F. E., Kipnis, V., Subar, A. F., et al. (2000). Evaluation of 2 brief instruments and a food-frequency questionnaire to estimate daily number of servings of fruit and vegetables. American Journal of Clinical Nutrition, 71(6), 1503–1510.PubMed
46.
Pickering, T. G., Hall, J. E., Appel, L. J., et al. (2005). Recommendations for blood pressure measurement in humans and experimental animals: Part 1: Blood pressure measurement in humans: A statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research. Circulation, 111(5), 697–716.PubMedCrossRef
47.
48.
49.
Sternfeld, B., Wang, H., Quesenberry, C. P., et al. (2004). Physical activity and changes in weight and waist circumference in midlife women: Findings from the Study of Women’s Health across the Nation. American Journal of Epidemiology, 160(9), 912–922.PubMedCrossRef
50.
Hagstromer, M., Ainsworth, B. E., Oja, P., & Sjostrom, M. (2010). Comparison of a subjective and an objective measure of physical activity in a population sample. Journal of Physical Activity and Health, 7(4), 541–550.PubMed
51.
Alexy, U., Sichert-Hellert, W., Kersting, M., & Schultze-Pawlitschko, V. (2004). Pattern of long-term fat intake and BMI during childhood and adolescence—results of the DONALD Study. International Journal of Obesity and Related Metabolic Disorders, 28(10), 1203–1209.PubMedCrossRef
52.
Rolls, B. J., Ello-Martin, J. A., & Tohill, B. C. (2004). What can intervention studies tell us about the relationship between fruit and vegetable consumption and weight management? Nutrition Reviews, 62(1), 1–17.PubMedCrossRef
53.
Burke, L. E., Steenkiste, A., Music, E., & Styn, M. A. (2008). A descriptive study of past experiences with weight-loss treatment. Journal of the American Dietetic Association, 108(4), 640–647.PubMedCrossRef
54.
Mama, S. K., Quill, B. E., Fernandez-Esquer, M. E., Reese-Smith, J. Y., Banda, J. A., & Lee, R. E. (2009). Association between body image and physical activity in African American women. Obesity, 17(Suppl 2), S162.
55.
Lipowski, M., Bulinski, L., & Krawczynski, M. (2009). Physical activities among other types of health-related behaviour in people losing weight. Medical Science Monitor, 15(8), CR423–CR428.PubMed
Metadata
Title
Multiple Measures of Physical Activity, Dietary Habits and Weight Status in African American and Hispanic or Latina Women
Authors
Rebecca E. Lee
Scherezade K. Mama
Ashley V. Medina
Jacqueline Y. Reese-Smith
Jorge A. Banda
Charles S. Layne
Meggin Baxter
Daniel P. O’Connor
Lorna McNeill
Paul A. Estabrooks
Publication date
01-12-2011
Publisher
Springer US
Published in
Journal of Community Health / Issue 6/2011
Print ISSN: 0094-5145
Electronic ISSN: 1573-3610
DOI
https://doi.org/10.1007/s10900-011-9403-5

Other articles of this Issue 6/2011

Journal of Community Health 6/2011 Go to the issue

Original Paper

Use of Complementary and Alternative Medicine Among Men with Prostate Cancer in a Rural Setting

Original Paper

Evaluation of a Radionovela to Promote HPV Vaccine Awareness and Knowledge Among Hispanic Parents

Original Paper

Ophthalmic Methicillin-resistant Staphylococcus aureus Infections: Sensitivity and Resistance Profiles of 234 Isolates

Original Paper

APOE, MTHFR, LDLR and ACE Polymorphisms Among Angami and Lotha Naga Populations of Nagaland, India

Original Paper

Breast Cancer Stage at Diagnosis: Is Travel Time Important?

Original Paper

Obesity, Hope, and Health: Findings from the HOPE Works Community Survey