Original Research As Short Communication

Obesity (2007) 15, 831–836; doi: 10.1038/oby.2007.594

Youths' Perceptions of Overweight-related Prevention Counseling at a Primary Care Visit*

Elsie M. Taveras*, Arthur M. Sobol, Cynthia Hannon, Daniel Finkelstein, Jean Wiecha and Steven L. Gortmaker

  1. *Obesity Prevention Program, Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, Massachusetts; and
  2. Department of Society, Human Development and Health, Harvard School of Public Health, Boston, Massachusetts.

Correspondence: Elsie M. Taveras Obesity Prevention Program, Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, 133 Brookline Avenue, Sixth Floor, Boston, MA 02215. E-mail: Elsie_Taveras@hphc.org

*The costs of publication of this article were defrayed, in part, by the payment of page charges. This article must, therefore, be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Received 6 February 2006; Revised  00; Accepted 27 October 2006.

Top

Abstract

Objective: We examined youths' report of receiving specific overweight-related preventive counseling and perceived readiness to adopt nutrition and physical activity behaviors recommended by their clinicians.

Research Methods and Procedures: We surveyed 324 youth 10 to 18 years old who had a physical exam within the past year. The survey included questions on height, weight, race/ethnicity, mother's education, and topics they discussed with their clinician during their visit. We used multivariable analyses to examine whether weight status and sociodemographic characteristics were predictors of which youth received counseling from their clinicians and which youth were ready to change.

Results: The mean (standard deviation) age of participants was 13.7 (1.8) years; 54% were black, and 22% were Hispanic. Less than one-half of participants reported discussing sugar-sweetened beverages [38%; 95% confidence interval (CI), 32% to 43%] or television viewing (41%; 95% CI, 36% to 47%) with their clinicians. In multivariable analyses adjusting for participant's age, sex, race/ethnicity, overweight status, and mother's educational attainment, youth whose mothers lacked education beyond high school were significantly less likely to report receiving counseling on any overweight-specific topic including television viewing [odds ratio (OR), 0.46; 95% CI, 0.27, 0.79], sugar-sweetened beverage (OR, 0.47; 95% CI, 0.28, 0.80), and fast food consumption (OR, 0.54; 95% CI, 0.32, 0.92). In addition, youth 10 to 14 years old were more likely than those 15 to 18 years old to report they would try to change their television viewing (OR, 4.10; 95% CI, 1.78, 9.44) if recommended by their clinician.

Discussion: Youth report infrequently receiving counseling on specific overweight prevention topics during routine primary care visits. Our findings suggest that greater efforts may be needed to reduce social class disparities in overweight prevention counseling and that counseling to prevent overweight in youth may be more acceptable to younger children.

Keywords:

counseling, primary care, television, sugar-sweetened beverages, fast food

Top

Introduction

Primary preventive health services could play an important role in addressing child and adolescent overweight, given that the majority of youth in the United States interact with the health care system at least once during any given year (1). However, as many as 50% of pediatricians do not regularly counsel youth about maintenance of a healthy weight, and close to 40% of pediatricians do not regularly counsel about physical activity (2). Furthermore, few pediatricians believe their advice is effective in motivating behavior change around diet and activity (3).

Guidelines for pediatric and adolescent preventive care recommend annual screening and counseling on nutrition and physical activity (4, 5, 6) but are not very specific about what aspects to focus on to prevent overweight. Both epidemiological and experimental evidence from the past decade supports targeting reduction in television viewing (7, 8, 9, 10, 11), sugar-sweetened beverages (12, 13, 14), and fast food (15, 16) as primary preventive intervention outcomes impacting overweight and other chronic disease risks (17). How a practitioner approaches counseling is also important. The literature stresses the importance of cognitive-behavioral approaches in management of overweight, both in short- and long-term interventions (18). Knowing which children are most ready and amenable to changing their lifestyle behaviors and developing stage-matched interventions can increase the likelihood of actual behavior change. To our knowledge, no studies have assessed youths' readiness to change specific overweight-related behaviors. The purpose of this study was to examine youths' report of receiving overweight-related prevention counseling during ambulatory care visits and to describe youths' perceived readiness to change their nutrition and physical activity behaviors recommended by their clinicians.

Top

Research Methods and Procedures

Study subjects were participants in a community survey conducted as part of Play Across Boston, a project of the Harvard Prevention Research Center and Northeastern University. The Human Subjects Committee at the Harvard School of Public Health approved this study.

We recruited a convenience sample of 13 after-school programs, one Boston public high school, and two Boston public middle schools to participate. Youth were eligible to participate if they resided in Boston, were between the ages of 10 and 18, spoke and read English, were in attendance at the selected program or school on the day the survey was administered, and had received parental consent. In total, 421 students participated in the survey. Our estimated response rate, based on data from 13 sites where we also gathered an estimate of the number of youth present, was 52%. We limited our analyses to 324 (77%) participants who indicated they had a physical exam with a doctor or nurse within the past year.

We measured counseling rates using survey items modified from the Young Adult Health Care Survey (19). The Young Adult Health Care Survey is a 45-item self-report instrument for measuring adherence to consensus guidelines for adolescent preventive services validated among youth 14 to 18 years old. We created seven new questions focusing on overweight-related prevention topics such as television viewing and sugar-sweetened beverage consumption. The questions on perceived readiness to change were developed from well-established, motivational interviewing techniques (20, 21) and included whether youth would try to change their eating habits, physical activity, or television viewing if a doctor or nurse asked them to and if they responded that they would, which one of those three behaviors would they try to change. We also measured age, sex, race/ethnicity, maternal education, physical activity levels, television viewing, height, and weight (22) by self-report on the survey.

We used multiple logistic regression to assess the independent effects of predictors of interest on adolescents' report of having received counseling from their health care provider on obesity-specific topics and perceived readiness to change. We performed data analyses using SAS Software version 8.2 (SAS Institute, Inc., Cary, NC) for Windows.

Top

Results

Table 1 shows the characteristics of our study sample. Youth reported that clinicians routinely discussed their weight (69%) and physical activity (69%) but less often discussed consumption of fast food (46%), sugar-sweetened beverages (38%), and television/video viewing (41%).


In multivariable analyses, we found that compared with youth whose BMI was <85th percentile, youth whose BMI greater than or equal to 85th percentile were more likely to report receiving counseling about consumption of fast food [odds ratio (OR),1 1.74; 95% confidence interval (CI), 1.03, 2.95] and about time spent exercising, playing sports, or being active (OR, 2.04; 95% CI, 1.10, 3.78) (Table 2). Overall, reported rates of receiving clinician counseling on any overweight prevention topic and rates of discussing nutrition and physical activity were lower among participants whose mothers lacked education beyond high school or whose educational attainment was unknown (Table 2).


Forty-three percent of youth reported the counseling they received from their clinicians to be helpful, and an additional 24% reported the counseling was very helpful. Youth 10 to 14 years old were more likely to report their clinicians' advice as very helpful, compared with those 15 to 18 years old (29% vs. 14%, p = 0.01). Approximately 69% of youth reported they would try to change their nutrition and physical activity patterns if recommended to do so by their clinicians; 40% reported they would try to change their eating patterns, 36% reported they would try to change their physical activity patterns, and only 20% said they would try to make changes in their television viewing patterns.

In multivariable analyses, we found that youth whose BMI was greater than or equal to85th percentile were more likely than those whose BMI was <85th percentile to report they would try to change their activity patterns if recommended to do so by their clinicians (OR, 2.17; 95% CI, 1.24, 3.79) (Table 3). Compared with youth 15 to 18 years old, those 10 to 14 years old were more likely to report they would try to change their overall nutrition and physical activity patterns if recommended to do so (OR, 1.85; 95% CI, 1.07, 3.19).


Top

Discussion

In this study of adolescents ranging in age from 10 to 18 years, we found that youth do not report receiving specific, evidence-based, overweight prevention topics such as reducing sugar-sweetened beverage consumption and television viewing during routine visits. We also found differences in reported receipt of overweight-specific counseling by maternal education status and by age group. Our results are consistent with those of two recent studies that examined clinician counseling on nutrition and physical activity during ambulatory visits (2, 23). However, our results add more specificity and detail about the specific overweight preventive counseling that youth are receiving.

In this study, younger adolescents were more likely to report they would change their overall nutrition and physical activity patterns if recommended to do so by their clinicians. This finding could be important in developing effective interventions to prevent overweight during this period of adolescence when physical activity levels start to decline and children begin to make independent food choices.

We also found that participants whose mothers lacked education beyond high school were much less likely than those whose mothers were college graduates to report receiving clinician counseling on fast food consumption, television/video viewing, and sugar-sweetened beverage consumption. Although the reasons for such disparities are likely multifactorial, a recent study by Flores et al. (24) suggests that other topics such as community violence, household alcohol and drug use, trouble paying for children's needs, and spouse/partner parenting support, might predominate the discussion and anticipatory guidance during primary care for disadvantaged pediatric patients. Clinical and public health efforts are needed to reduce disparities on overweight prevention counseling among socioeconomically disadvantaged groups.

Our study should be interpreted keeping in mind several limitations. First, youth in the study were asked to recall events that may have taken place up to 1 year before the survey. In particular, the observed association between receipt of clinician counseling and overweight status could have stemmed from recall bias in that youth who were overweight may have been more likely to remember receiving counseling from their clinicians. Second, it is possible that the high reported rates of counseling on overall nutrition and physical activity are the result of a social desirability response bias. In addition, the unique characteristics of the sampled population, including youth living in an urban city, may limit the generalization of this study for specific groups, such as youth living in more rural communities. Third, we did not measure the source or frequency of medical care for youth in the study. Thus, we were unable to determine whether these factors were important predictors of receiving counseling and were unable to adjust for possible clustering of subjects by provider or practice site. Fourth, to minimize respondent burden, we asked youth to self-report their heights and weights by selecting one of seven predefined categories of each (based on national norms) from which we calculated BMI and classified youth as above or below the 85th percentile for age and sex. Although a previous study among older children supports the validity of BMI computed from self-reported height and weight (22), limited information exists supporting the validity of self-report among younger children or of calculating BMI and classifying as greater than the 85th percentile based on categorical heights and weights. Finally, our sampling strategy was limited to a convenience sample of youth. This might further affect the external validity of our results.

Top

Conclusions

The primary care clinician's office provides a potentially powerful but often untapped resource for effecting changes in key behaviors related to overweight. Pediatric clinicians are interested in combating the rise of overweight in their patients, and youth want and need to discuss health care issues with their clinicians (25). Practical implications of the present results would be for clinicians to incorporate more specific, evidence-based overweight prevention counseling in their anticipatory guidance for youth ages 10 to 18 years to begin overweight prevention counseling, even among young children, and to match counseling to youth's readiness to change their behavior.

Top

Notes

1 Nonstandard abbreviations: OR, odds ratio; CI, confidence interval.

Top

References

  1. Dey, A. N., Schiller, J. S., Tai, DA. (2004) Summary health statistics for U.S. children: National Health Interview Survey, 2002. Vital Health Stat. 10: 1–78.
  2. Galuska, D. A., Fulton, J. E., Powell, K. E., et al (2002) Pediatrician counseling about preventive health topics: results from the Physicians' Practices Survey, 1998–1999. Pediatrics 109: E83–3. | Article | PubMed |
  3. Nader, P. R., Taras, H. L., Sallis, J. F., Patterson, TL. (1987) Adult heart disease prevention in childhood: a national survey of pediatricians' practices and attitudes. Pediatrics 79: 843–850. | PubMed | ChemPort |
  4. Green, M. (1994) Bright Futures: Guidelines for Health Supervision of Infants, Children, and Adolescents. Arlington, VA: National Center for Education in Maternal and Child Health.
  5. Knishkowy, B., Palti, H. (1997) GAPS (AMA Guidelines for Adolescent Preventive Services): where are the gaps. Arch Pediatr Adolesc Med. 151: 123–128. | PubMed | ChemPort |
  6. American Academy of Pediatrics, Committee on Psychosocial Aspects of Child and Family Health (1997) Guidelines for Health Supervision. Elk Grove Village, IL: American Academy of Pediatrics.
  7. Dietz, W. H., Gortmaker, SL. (1985) Do we fatten our children at the TV set? Obesity and television viewing in children and adolescents. Pediatrics 75: 807–812. | PubMed | ISI |
  8. Gortmaker, S. L., Must, A., Sobol, A. M., Peterson, K., Colditz, G. A., Dietz, WH. (1996) Television viewing as a cause of increasing obesity among children in the United States, 1986–1990. Arch Pediatr Adolesc Med. 150: 356–362. | PubMed | ISI | ChemPort |
  9. Epstein, L. H., Valoski, A. M., Vara, L. S., et al (1995) Effects of decreasing sedentary behavior and increasing activity on weight change in obese children. Health Psychol. 14: 109–115. | Article | PubMed | ISI | ChemPort |
  10. Hu, F. B., Li, T. Y., Colditz, G. A., Willett, W. C., Manson, JE. (2003) Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA 289: 1785–1791. | Article | PubMed | ISI |
  11. Gortmaker, S. L., Peterson, K., Wiecha, J., et al (1999) Reducing obesity via a school-based interdisciplinary intervention among youth: Planet Health. Arch Pediatr Adolesc Med. 153: 409–418. | PubMed | ISI | ChemPort |
  12. Giammattei, J., Blix, G., Marshak, H. H., Wollitzer, A. O., Pettitt, DJ. (2003) Television watching and soft drink consumption: associations with obesity in 11- to 13-year-old schoolchildren. Arch Pediatr Adolesc Med. 157: 882–886. | Article | PubMed | ISI |
  13. Ludwig, D. S., Peterson, K. E., Gortmaker, SL. (2001) Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet 357: 505–508. | Article | PubMed | ISI | ChemPort |
  14. Harnack, L., Stang, J., Story, M. (1999) Soft drink consumption among US children and adolescents: nutritional consequences. J Am Diet Assoc. 99: 436–441. | Article | PubMed | ChemPort |
  15. Taveras, E. M., Berkey, C. S., Rifas-Shiman, S. L., et al (2005) The association of fried food consumption away from home with body mass index and diet quality in older children and adolescents. Pediatrics 116: e518–e24. | Article | PubMed |
  16. Bowman, S. A., Gortmaker, S. L., Ebbeling, C. B., Pereira, M. A., Ludwig, DS. (2004) Effects of fast-food consumption on energy intake and diet quality among children in a national household survey. Pediatrics 113: 112–118. | Article | PubMed |
  17. Berkey, C. S., Rockett, H. R. H., Gillman, M. W., Colditz, G. (2003) One year changes in activity and in inactivity among 10 to 15 year old boys and girls: relationship to change in body mass index. Pediatrics 111: 836–843. | Article | PubMed | ISI |
  18. Epstein, L. H., Roemmich, J. N., Raynor, HA. (2001) Behavioral therapy in the treatment of pediatric obesity. Pediatr Clin North Am. 48: 981–993. | Article | PubMed | ChemPort |
  19. Bethell, C., Klein, J., Peck, C. (2001) Assessing health system provision of adolescent preventive services: the Young Adult Health Care Survey. Med Care 39: 478–490. | Article | PubMed | ChemPort |
  20. Rollnick, S., Mason, P., Butler, C. (1999) Health Behavior Change: A Guide for Practitioners. Edinburgh, United Kingdom: Churchill Livingston.
  21. Miller, W. R., Rollnick, S. (1991) Motivational Interviewing: Preparing People to Change Addictive Behavior. New York: The Guilford Press.
  22. Goodman, E., Hinden, B., Khandelwal, S. (2000) Accuracy of teen and parental reports of obesity and body mass index. Pediatrics 106: 52–58. | Article | PubMed | ISI | ChemPort |
  23. Kolagotla, L., Adams, W. (2004) Ambulatory management of childhood obesity. Obes Res. 12: 275–283. | Article | PubMed | ISI |
  24. Flores, G., Olson, L., Tomany-Korman, SC. (2005) Racial and ethnic disparities in early childhood health and health care. Pediatrics 115: e183–93. | Article | PubMed |
  25. Klein, J. D., Wilson, KM. (2002) Delivering quality care: adolescents' discussion of health risks with their providers. J Adolesc Health 30: 190–195. | Article | PubMed |
Top

Acknowledgments

This study was supported, in part, by grants from the Centers for Disease Control and Prevention (Prevention Research Centers Grants U48/CCU115807 and U48DP000064). This work is solely the responsibility of the authors and does not represent official views of the Centers for Disease Control and Prevention. E.M.T. is supported, in part, by the Minority Medical Faculty Development Program of the Robert Wood Johnson Foundation.

Extra navigation

.

natureproducts


ADVERTISEMENT