The youth form of the Motivators of and Barriers to Health-Smart Behaviors Inventory.

Tucker, Carolyn M.; Rice, Kenneth G.; Desmond, Frederic F.; Hou, Wei; Kaye, Lillian B.; Smith, Tasia M.

doi:10.1037/a0026262

Cited by 8 publications

(7 citation statements)

References 36 publications

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“…11 For example, it has been found that early adolescent dietary intake patterns may help predict obesity in young adulthood in women. 12,13 It has also been found that adolescents who participate in physical education 5 days a week may decrease the odds of adult obesity by 28%.…”

Section: Motivators Of and Barriers To Eating Foods And Snacks Among mentioning

confidence: 99%

“…), 2 multivariate analyses of variance (MANOVAs) were used given the conceptual inverse associations of motivator scales and barrier scales and of the subscales within each scale. Prior to conducting these MANOVAs, age was dichotomized to reflect the ages of adolescents in middle school (ie, ages [11][12][13][14] and the ages of adolescents in high school (ie, ages [15][16][17]. Additionally, assumptions necessitated by a MANOVA were examined.…”

Section: Multivariate Analyses Of Variancementioning

confidence: 99%

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Motivators of and Barriers to Eating Foods and Snacks Among Adolescents

Wippold

Tucker

Smith

2015

American Journal of Lifestyle Medicine

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Adolescents from low-income households and minority groups are disproportionately affected by obesity compared with their non-Hispanic white counterparts. Engaging in health promoting behaviors such as routinely eating healthy foods and snacks and engaging in physical activity are ways of preventing and reducing obesity and obesity disparities. The major purposes of the present study are (a) to identify the motivators of and barriers to eating healthy foods and snacks among culturally diverse adolescents and (b) to determine if the strengths of endorsement of these motivators and barriers differ by race, gender, and age. In the present study, a series of factor analyses was used to identify the motivators of and barriers to eating healthy foods and snacks among the culturally diverse adolescent participants (N = 172) in the national study. Specifically, an adolescent motivator of eating healthy foods and snacks scale, adolescent barrier to eating healthy foods and snacks scale, and subscales for each of these 2 scales were identified. The adolescent motivator subscales found were Knowledge and Commitment (α = .86) and Routine (α = .87). The adolescent barrier subscales found were Lack of Exposure (α = .72), Pessimistic Attitude (α = .80), and Temptation (α = .59). MANOVAs were used to determine if the mean scores for these scales and subscales differ by race, age, and gender. Nonsignificant differences were found among the mean scores for these scales and subscales. Results have implications for customizing adolescent health promotion interventions, including those to reduce and prevent obesity.

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Section: Motivators Of and Barriers To Eating Foods And Snacks Among mentioning

confidence: 99%

Section: Multivariate Analyses Of Variancementioning

confidence: 99%

Motivators of and Barriers to Eating Foods and Snacks Among Adolescents

Wippold

Tucker

Smith

2015

American Journal of Lifestyle Medicine

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“…However, there are some areas of consideration to be noted. Some of the articles in which measures were piloted (Tucker et al, 2012;DeVet et al, 2014) described explicit efforts to ensure that the development and validation of their measure involved a process and/or sample that was culturally, ethnically, racially, and/or socioeconomically diverse. Notwithstanding these exceptions, the majority of studies were originally validated in homogenous samples and are reflective of an ever-present and longstanding need to diversify participants in psychological research (Graham, 1992 Affective and/or emotional influences may play an important role in eating behaviors for some groups more than others; for example, one study suggested that among those receiving inpatient treatment for eating disorders 94% also experienced mood disorders, and 56% experienced anxiety disorders (Blinder, Cumella, & Sanathara, 2006).…”

Section: Discussionmentioning

confidence: 99%

“…Instruments to assess sociocultural factors, such as the 2F or the MB-HSBI-Youth, have numerous applications in practice and research (Georgiou, 2005;Tucker et al, 2012). Namely, these tools are helpful in understanding the social and environmental factors that influence adolescents' self-determination to regulate eating behavior.…”

Section: Discussionmentioning

confidence: 99%

“…The MB-HSBI-Youth was developed by Tucker, Rice, Desmond, Hou, Kaye, and Smith (2012) for the purposes of self-identified sources of motivation and barriers to health-promoting behaviors, including eating behaviors. The measure was developed through the use of focus groups who aided researchers in developing a pilot version of the measure that was subject to additional panel review.…”

Section: Youth Form Of the Motivators Of And Barriers To Health-smartmentioning

confidence: 99%

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Adolescents' self-determination to regulate eating behaviors : adaptation and validation of a self-report measure

Hamilton¹

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Determinants of Physical Fitness in Children with Repaired Congenital Heart Disease

et al. 2021

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The aim of this study was to determine factors associated with physical fitness (PF) in children who underwent surgery for congenital heart disease (CHD). Sixty-six children (7-14 years) who underwent surgery for ventricular septal defect (n = 19), transposition of great arteries (n = 22), coarctation of aorta (n = 10), and tetralogy of Fallot (n = 15) were included. All children performed PF tests: cardiorespiratory fitness, upper-and lower-limb muscle strength, speed, balance, and flexibility. Cardiac evaluation was done via echocardiography and cardiopulmonary exercise test. Factors related to child's characteristics, child's lifestyle, physical activity motivators/barriers, and parental factors were assessed. Linear regression analyses were conducted. The results showed no significant differences in physical activity (PA) level by CHD type. Boys had better cardiorespiratory fitness (difference = 1.86 ml/kg/min [0.51;3.22]) and were more physically active (difference = 19.40 min/ day [8.14;30.66]), while girls had better flexibility (difference = − 3.60 cm [− 7.07;− 0.14]). Physical activity motivators showed an association with four out of six PF components: cardiorespiratory fitness, coefficient = 0.063 [0.01;0.11]; upperlimb muscle strength, coefficient = 0.076 [0.01;0.14]; lower-limb muscle strength, coefficient = 0.598 [0.07;1.13]; and speed, coefficient = 0.03 [0.01;0.05]. Age, sex, and motivators together reached a maximum adjusted R 2 = 0.707 for upper-limb strength. Adding other possible determinants did not significantly increase the explained variance. Apart from age and sex as non-modifiable determinants, the main target which might improve fitness would be the introduction of an intervention which increases the motivation to be active.

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The youth form of the Motivators of and Barriers to Health-Smart Behaviors Inventory.

Cited by 8 publications

References 36 publications

Motivators of and Barriers to Eating Foods and Snacks Among Adolescents

Motivators of and Barriers to Eating Foods and Snacks Among Adolescents

Adolescents' self-determination to regulate eating behaviors : adaptation and validation of a self-report measure

Determinants of Physical Fitness in Children with Repaired Congenital Heart Disease

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