sábado, 8 de agosto de 2015

Assessing Child Obesity and Physical Activity in a Hard-to-Reach Population in California’s Central Valley, 2012–2013

full-text ►

Assessing Child Obesity and Physical Activity in a Hard-to-Reach Population in California’s Central Valley, 2012–2013



CDC. Centers for Disease Control and Prevention. CDC 24/7: Saving Lives. Protecting People.



PCD GIS Snapshots





PCD logo



Assessing Child Obesity and Physical Activity in a Hard-to-Reach Population in California’s Central Valley, 2012–2013

Sara E. Schaefer, PhD; Rosa Camacho-Gomez, PhD; Banefsheh Sadeghi, MD, PhD; Lucia Kaiser, PhD; J. Bruce German, PhD; Adela de la Torre, PhD

Suggested citation for this article: Schaefer SE, Camacho-Gomez R, Sadeghi B, Kaiser L, German JB, de la Torre A. Assessing Child Obesity and Physical Activity in a Hard-to-Reach Population in California’s Central Valley, 2012–2013. Prev Chronic Dis 2015;12:140577. DOI: http://dx.doi.org/10.5888/pcd12.140577.
PEER REVIEWED

Abstract

Introduction
In California’s agricultural Central Valley, the rate of childhood obesity is higher than the national average. Adequate physical activity contributes to obesity prevention and its assessment is useful to evaluate the impact of interventions.
Methods
Niños Sanos, Familia Sana (Healthy Children, Healthy Family [NSFS]) uses community-based participatory research to implement an intervention program to reduce childhood obesity among people of Mexican origin in the Central Valley. Anthropometric measurements were conducted on more than 650 children enrolled in NSFS. Physical activity data from a subgroup of children aged 4 to 7 years (n = 134) were collected via a wearable accelerometer.
Results
Children were classified on the basis of age and sex-adjusted body mass index as healthy weight (57.7%); overweight (19.3%), or obese (23%). Logistic regression showed that moderate to vigorous physical activity (MVPA) was associated with a child’s likelihood of having a healthy BMI (odds ratio: 1.03; 95% CI, 1.01–1.05; P = .017).
Conclusion
NSFS’s community-based participatory approach resulted in successful use of a commercial electronic device to measure physical activity quantity and quality in this hard-to-reach population. Promotion of adequate daily MVPA is an appropriate and necessary component of NSFS’s childhood obesity prevention strategy.

Acknowledgments

We thank the following individuals and agencies: Maria Rangel, NSFS Site Coordinator, Judith Martinez, NSFS Nutrition Educator, Ivan Garcia, NSFS Administrative Assistant, the advisory council and promotores in Firebaugh and San Joaquin, the Firebaugh Las Deltas Unified School District and the Golden Plains Unified School District. Niños Sanos, Familia Sana (Healthy Children, Healthy Family) is funded by the National Institute of Food and Agriculture of the US Department of Agriculture, grant no. 2011-68001-30167.
 Top

Author Information

Corresponding Author: Sara E. Schaefer, PhD, Foods for Health Institute, 2141 Robert Mondavi Institute, One Shields Ave, Davis, CA 95616. Telephone: 530-574-0797. Email:seschaefer@ucdavis.edu.
Author Affiliations: Rosa Camacho-Gomez, Banefsheh Sadeghi, Adela de la Torre, Center for Transnational Health, University of California, Davis, California; Lucia Kaiser, Department of Nutrition, University of California, Davis, California. J. Bruce German, Foods for Health Institute, University of California, Davis, California.
 Top

References

  1. Obesity and Hispanic Americans. US Department of Health and Human Services, Office of Minority Health. http://minorityhealth.hhs.gov/omh/browse.aspx?lvl=4&lvlid=70. Accessed May 5, 2015.
  2. Health, United States, 2011, with special focus on socioeconomic status and health. Hyattsville (MD): National Center for Health Statistics; 2012.
  3. Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of obesity and trends in body mass index among US children and adolescents, 1999–2010. JAMA 2012;307(5):483–90. CrossRefPubMed
  4. Anderson SE, Whitaker RC. Prevalence of obesity among US preschool children in different racial and ethnic groups. Arch Pediatr Adolesc Med 2009;163(4):344–8. CrossRef PubMed
  5. Koplan JP, Liverman CT, Kraak VI, Wisham SL. Progress in preventing childhood obesity: how do we measure up? Washington (DC): National Academies Press, Institute of Medicine; 2007.
  6. Barkin SL, Gesell SB, Po’e EK, Escarfuller J, Tempesti T. Culturally tailored, family-centered, behavioral obesity intervention for Latino-American preschool-aged children. Pediatrics 2012;130(3):445–56. CrossRef PubMed
  7. Robinson TN, Matheson D, Desai M, Wilson DM, Weintraub DL, Haskell WL, et al. Family, community and clinic collaboration to treat overweight and obese children: Stanford GOALS-A randomized controlled trial of a three-year, multi-component, multi-level, multi-setting intervention. Contemp Clin Trials 2013;36(2):421–35. CrossRef PubMed
  8. Slusser W, Frankel F, Robison K, Fischer H, Cumberland WG, Neumann C. Pediatric overweight prevention through a parent training program for 2-4 year old Latino children. Child Obes 2012;8(1):52–9. PubMed
  9. de la Torre A, Sadeghi B, Green RD, Kaiser LL, Flores YG, Jackson CF, et al. Niños Sanos, Familia Sana: Mexican immigrant study protocol for a multifaceted CBPR intervention to combat childhood obesity in two rural California towns. BMC Public Health 2013;13(1):1033. CrossRef PubMed
  10. Physical Activity Guidelines Advisory Committee Report. Washington (DC): US Department of Health and Human Services; 2008.
  11. Strong WB, Malina RM, Blimkie CJ, Daniels SR, Dishman RK, Gutin B, et al. Evidence based physical activity for school-age youth. J Pediatr 2005;146(6):732–7. CrossRef PubMed
  12. 2008 Physical activity guidelines for Americans. Washington (DC): US Department of Health and Human Services.
  13. Chen KY, Bassett DR Jr. The technology of accelerometry-based activity monitors: current and future. Med Sci Sports Exerc 2005;37(11, Suppl):S490–500. CrossRef PubMed
  14. Trost SG. State of the Art Reviews: measurement of physical activity in children and adolescents. Am J Lifestyle Med 2007;1(4):299–314. CrossRef
  15. Rowlands AV. Accelerometer assessment of physical activity in children: an update. Pediatr Exerc Sci 2007;19(3):252–66. PubMed
  16. Pate RR. Measuring physical activity. In: Ward DS, Saunders RP, Pate RR, editors. Physical activity interventions in children and adolescents. Champaign (IL): Human Kinetics; 2007. p. 145–65.
  17. Bornstein DB, Beets MW, Byun W, McIver K. Accelerometer-derived physical activity levels of preschoolers: a meta-analysis. J Sci Med Sport 2011;14(6):504–11. CrossRef PubMed
  18. Oliver M, Schofield GM, Kolt GS. Physical activity in preschoolers: understanding prevalence and measurement issues. Sports Med 2007;37(12):1045–70. CrossRef PubMed
  19. Reilly JJ, Penpraze V, Hislop J, Davies G, Grant S, Paton JY. Objective measurement of physical activity and sedentary behaviour: review with new data. Arch Dis Child 2008;93(7):614–9.CrossRef PubMed
  20. Israel BA, Eng E, Schulz AJ, Parker EA, Satcher D. Methods in community-based participatory research for health. San Francisco (CA): Jossey-Bass; 2005.
  21. Lohan TG, Roche AF, Martorell R. Anthropometric standardization reference manual. Champaign (IL): Human Kinetics Publishers; 1988.
  22. Kuczmarski RJ, Ogden CL, Guo SS, Grummer-Strawn LM, Flegal KM, Mei Z, et al. 2000 CDC Growth Charts for the United States: methods and development. Vital Health Stat 11 2002;(246):1–190. PubMed
  23. Cuellar I, Arnold B, Maldonado R. Acculturation rating scale for Mexican Americans-II: a revision of the original ARSMA scale. Hisp J Behav Sci 1995;17(3):275–304. CrossRef
  24. Cuellar I, Bastida E, Braccio SM. Residency in the United States, subjective well-being, and depression in an older Mexican-origin sample. J Aging Health 2004;16(4):447–66. CrossRefPubMed
  25. Virtanen P, Kinnunen H. Polar Active - Activity Monitor for Children and Adolescents. Kempele (FL): Polar R and D Physiological Research, Polar Electro Oy; 2010.
  26. Pate RR, O’Neill JR, Mitchell J. Measurement of physical activity in preschool children. Med Sci Sports Exerc 2010;42(3):508–12. CrossRef PubMed
  27. Stone MR, Rowlands AV, Eston RG. Relationships between accelerometer-assessed physical activity and health in children: impact of the activity-intensity classification method. J Sports Sci Med 2009;8(1):136–43. PubMed
  28. Gutin B, Owens S. The influence of physical activity on cardiometabolic biomarkers in youths: a review. Pediatr Exerc Sci 2011;23(2):169–85. PubMed
  29. Tompkins CL, Moran K, Preedom S, Brock DW. Physical activity-induced improvements in markers of insulin resistance in overweight and obese children and adolescents. Curr Diabetes Rev 2011;7(3):164–70. CrossRef PubMed
  30. Wolff-Hughes DL, Bassett DR, Fitzhugh EC. Population-referenced percentiles for waist-worn accelerometer-derived total activity counts in US youth: 2003–2006 NHANES. PLoS ONE 2014;9(12):e115915. CrossRef PubMed
  31. Schaefer SE, Van Loan M, German JB. A feasibility study of wearable activity monitors for pre-adolescent school-age children. Prev Chronic Dis 2014;11(11):E85. CrossRef PubMed

No hay comentarios: