» Articles » PMID: 31052211

Increased Prevalence of Psychosocial, Behavioral, and Socio-Environmental Risk Factors Among Overweight and Obese Youths in Mexico and the United States

Abstract

The aim of this study was to examine various psychosocial, behavioral, and socio-environmental factors in a multiethnic sample of healthy-weight, overweight, and obese youths in the United States (US) and Mexico and determine differences by sex. We conducted a cross-sectional analysis of 633 youths aged 11-18 years who completed a self-reported questionnaire. Height and weight were measured to determine body mass index (BMI). Overweight and obese youth in both countries were significantly more likely to report a higher body image dissatisfaction (Odds Ratio (OR) = 1.67 and OR= 2.95, respectively), depressive symptoms (OR = 1.08 and OR = 1.12, respectively), perceive themselves as overweight (OR = 2.57) or obese (OR = 5.30), and a lower weight-specific quality of life (OR = 0.97 and OR = 0.95, respectively) than healthy-weight youth. Obese youth have lower healthy lifestyle priorities (OR = 0.75) and are less likely to be physically active (OR = 0.79) and eat breakfast (OR = 0.47) than healthy-weight youth. Additionally, overweight and obese youth are more likely to engage in weight control behaviors (OR = 5.19 and OR = 8.88, respectively) and restrained eating than healthy-weight youth. All the aforementioned results had a p-value of <0.05, which was considered statistically significant. The association between these factors and overweight or obesity remained significant after controlling for age, sex, race/ethnicity, and country. In conclusion, obesity was associated with a range of psychosocial, behavioral, and socio-environmental risk factors in both countries. Our findings support the need for multifactorial approaches when developing interventions to address the growing problem of obesity among youth in the US and Mexico.

Citing Articles

Weight excess among high-school students: Relation with mental health and sociodemographic factors.

Ouni F, Ghammam R, Benfredj S, Zammit N, Eleuch I, Chelly S Tunis Med. 2024; 102(3):139-145.

PMID: 38545708 PMC: 11358796. DOI: 10.62438/tunismed.v102i3.4802.


Bullying experiences, body esteem, body dissatisfaction, and the moderating role of weight status among adolescents.

Fowler L, Kracht C, Denstel K, Stewart T, Staiano A J Adolesc. 2021; 91:59-70.

PMID: 34333320 PMC: 8380652. DOI: 10.1016/j.adolescence.2021.07.006.


Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight.

Mitchell E, Yang Q, Behr H, Ho A, DeLuca L, May C Int J Environ Res Public Health. 2021; 18(4).

PMID: 33578975 PMC: 7916717. DOI: 10.3390/ijerph18041712.


One Size Does Not Fit All: Sociodemographic Factors Affecting Weight Loss in Adolescents.

Cummins C, Bowen-Jallow K, Tasnim S, Prochaska J, Jupiter D, Wright A J Obes. 2020; 2020:3736504.

PMID: 32185078 PMC: 7060876. DOI: 10.1155/2020/3736504.

References
1.
Swallen K, Reither E, Haas S, Meier A . Overweight, obesity, and health-related quality of life among adolescents: the National Longitudinal Study of Adolescent Health. Pediatrics. 2005; 115(2):340-7. DOI: 10.1542/peds.2004-0678. View

2.
McCrory M . Meal skipping and variables related to energy balance in adults: a brief review, with emphasis on the breakfast meal. Physiol Behav. 2014; 134:51-4. DOI: 10.1016/j.physbeh.2014.05.005. View

3.
Killen J, Taylor C, Hayward C, Wilson D, Haydel K, Hammer L . Pursuit of thinness and onset of eating disorder symptoms in a community sample of adolescent girls: a three-year prospective analysis. Int J Eat Disord. 1994; 16(3):227-38. DOI: 10.1002/1098-108x(199411)16:3<227::aid-eat2260160303>3.0.co;2-l. View

4.
Stice E, Presnell K, Shaw H, Rohde P . Psychological and behavioral risk factors for obesity onset in adolescent girls: a prospective study. J Consult Clin Psychol. 2005; 73(2):195-202. DOI: 10.1037/0022-006X.73.2.195. View

5.
Grunbaum J, Kann L, Kinchen S, Williams B, Ross J, Lowry R . Youth risk behavior surveillance--United States, 2001. MMWR Surveill Summ. 2002; 51(4):1-62. View