{"id":9540,"date":"2026-10-01T07:33:32","date_gmt":"2026-10-01T07:33:32","guid":{"rendered":"http:\/\/ashadocs.org\/scales\/stopp-t2d-bcm-fjv-se-fruit-juice-vegetable-self-efficacy\/"},"modified":"2026-10-01T07:33:32","modified_gmt":"2026-10-01T07:33:32","slug":"stopp-t2d-bcm-fjv-se-fruit-juice-vegetable-self-efficacy","status":"publish","type":"psych_scale","link":"https:\/\/ashadocs.org\/?psych_scale=stopp-t2d-bcm-fjv-se-fruit-juice-vegetable-self-efficacy","title":{"rendered":"Studies to Treat Or Prevent Pediatric Type 2 Diabetes \u2013 Fruit, Juice, &#038; Vegetable Self-Efficacy (STOPP-T2D BCM-FJV SE)"},"content":{"rendered":"<h2>Abstract<\/h2>\n<p>The <strong>Studies to Treat Or Prevent Pediatric Type 2 Diabetes \u2013 Fruit, Juice, &amp; Vegetable Self-Efficacy (STOPP-T2D BCM-FJV SE)<\/strong> scale is a specialized psychometric instrument developed to evaluate dietary self-efficacy in middle school-aged youth at risk for pediatric metabolic dysfunction and <a href=\"https:\/\/en.wikipedia.org\/wiki\/Type_2_diabetes\" target=\"_blank\" rel=\"noopener noreferrer\">type 2 diabetes mellitus<\/a>. Originating from the multi-center clinical trials funded by the <a href=\"https:\/\/www.niddk.nih.gov\/\" target=\"_blank\" rel=\"noopener noreferrer\">National Institute of Diabetes and Digestive and Kidney Diseases<\/a> (NIDDK)\u2014specifically the foundational primary prevention multi-component intervention known as the HEALTHY study\u2014this instrument operationalizes Bandura\u2019s construct of perceived <a href=\"https:\/\/en.wikipedia.org\/wiki\/Self-efficacy\" target=\"_blank\" rel=\"noopener noreferrer\">self-efficacy<\/a> specifically within the domain of consuming fruits, 100% fruit juices, and vegetables across various environmental, emotional, and social barrier contexts. Comprising a brief, developmentally tailored multi-item questionnaire (adapted from validated youth dietary assessment batteries developed at the USDA\/ARS Children\u2019s Nutrition Research Center at Baylor College of Medicine), the scale presents adolescent respondents with everyday scenarios\u2014such as peer pressure, absence of pre-cut produce at home, fast-food dining situations, and emotional states\u2014asking them to appraise their degree of confidence in selecting produce-rich food choices.<\/p>\n<p>Responses are quantified using a balanced, age-appropriate Likert-type response format designed to minimize cognitive burden and acquiescence bias in adolescent cohorts. Extensive psychometric evaluations conducted across large, diverse cohorts of early adolescents (grades 6 through 8) demonstrate that the instrument exhibits strong internal consistency (with reported <a href=\"https:\/\/en.wikipedia.org\/wiki\/Cronbach%27s_alpha\" target=\"_blank\" rel=\"noopener noreferrer\">Cronbach\u2019s alpha<\/a> coefficients typically ranging from 0.78 to 0.86 across ethnically diverse sub-populations) and robust test-retest reliability. Factor analytic studies support a consistent multidimensional or second-order unidimensional structure that reliably reflects barrier-specific efficacy expectations. Furthermore, the instrument demonstrates established construct, convergent, and predictive validity through significant longitudinal associations with measured dietary fiber intake, systemic glycemic indicators, and shifts in body mass index (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Body_mass_index\" target=\"_blank\" rel=\"noopener noreferrer\">BMI<\/a>) percentiles among vulnerable pediatric cohorts.<\/p>\n<h2>Keywords<\/h2>\n<p>Pediatric Type 2 Diabetes, Self-Efficacy, Dietary Assessment, Fruit and Vegetable Intake, Social Cognitive Theory, STOPP-T2D, HEALTHY Study, Adolescent Nutrition, Psychometrics, Preventive Medicine<\/p>\n<h2>Authors<\/h2>\n<p>The STOPP-T2D BCM-FJV SE instrument was developed and validated by investigators associated with the <strong>STOPP-T2D Prevention Study Group<\/strong> and the <strong>HEALTHY Study Collaborative Research Group<\/strong>, sponsored by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Key investigators leading the development and psychometric adaptation of the nutrition behavioral batteries include:<\/p>\n<ul>\n<li><strong>Tom Baranowski, Ph.D.<\/strong> \u2014 Professor of Pediatrics (Behavioral Nutrition), USDA\/ARS Children\u2019s Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine (BCM), Houston, Texas, USA.<\/li>\n<li><strong>Dan M. Cooper, M.D.<\/strong> \u2014 Professor of Pediatrics and Director of the Pediatric Exercise and Genomics Research Center, Department of Pediatrics, University of California Irvine, Irvine, California, USA.<\/li>\n<li><strong>Janie S. Harrell, Ph.D., R.N., FAAN<\/strong> \u2014 Professor Emerita, School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.<\/li>\n<li><strong>Kathryn Hirst, Ph.D.<\/strong> \u2014 Principal Investigator, Coordinating Center, The Biostatistics Center, Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, George Washington University, Rockville, Maryland, USA.<\/li>\n<li><strong>Francine R. Kaufman, M.D.<\/strong> \u2014 Professor Emerita of Pediatrics, Keck School of Medicine, University of Southern California and Division of Endocrinology and Metabolism, Children\u2019s Hospital Los Angeles, Los Angeles, California, USA.<\/li>\n<li><strong>Michael I. Goran, Ph.D.<\/strong> \u2014 Professor of Pediatrics, The Saban Research Institute, Children\u2019s Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.<\/li>\n<li><strong>Ken Resnicow, Ph.D.<\/strong> \u2014 Professor of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.<\/li>\n<\/ul>\n<p>Institutional correspondence regarding the multicenter coordination of the STOPP-T2D protocols is archived through the Biostatistics Center at George Washington University and the NIDDK Central Data Repository.<\/p>\n<h2>Purpose<\/h2>\n<p>The primary purpose of the STOPP-T2D BCM-FJV SE scale is to quantify an adolescent\u2019s perceived capability to initiate, maintain, and self-regulate dietary consumption of whole fruits, unsweetened fruit juice, and vegetables when confronted with personal, environmental, and interpersonal impediments. Emerging out of an urgent public health need to halt the escalation of pediatric <a href=\"https:\/\/en.wikipedia.org\/wiki\/Type_2_diabetes\" target=\"_blank\" rel=\"noopener noreferrer\">type 2 diabetes<\/a> in youth cohorts across the United States, the scale was engineered to serve as both an explanatory covariate and a proximal intervention mediator within large-scale primary prevention clinical trials, notably the landmark multi-center HEALTHY trial.<\/p>\n<p>Clinically, pediatric endocrinologists, dietitians, and pediatric health psychologists employ the scale to identify specific psychological barriers that hinder dietary compliance in youth presenting with hyperinsulinemia, prediabetes, or clinically elevated <a href=\"https:\/\/en.wikipedia.org\/wiki\/Glycated_hemoglobin\" target=\"_blank\" rel=\"noopener noreferrer\">glycated hemoglobin (HbA1c)<\/a>. Understanding whether an adolescent suffers from a deficit in food access versus a low perceived barrier self-efficacy allows clinicians to prescribe targeted psychosocial interventions, such as behavioral role-playing, parental habit restructuring, and home-availability enhancement, rather than passive nutritional education alone.<\/p>\n<p>In academic research, the instrument addresses the theoretical necessity of evaluating the cognitive mechanisms postulated by <a href=\"https:\/\/en.wikipedia.org\/wiki\/Social_cognitive_theory\" target=\"_blank\" rel=\"noopener noreferrer\">Social Cognitive Theory<\/a>. Prior to the standardisation of this tool, general self-efficacy scales failed to capture domain-specific pediatric challenges, such as navigating school cafeteria peer norms, managing negative emotional states without turning to energy-dense snacks, or actively requesting fresh vegetables from parents responsible for household grocery procurement. By isolating fruit, juice, and vegetable self-efficacy as an autonomous psychometric construct, the STOPP-T2D BCM-FJV SE provides public health scientists with a sensitive, reproducible metric capable of tracking subtle psychological shifts across longitudinal health promotion campaigns.<\/p>\n<h2>Psychological Construct<\/h2>\n<p>The construct assessed by the STOPP-T2D BCM-FJV SE is operationalized as <em>domain-specific barrier self-efficacy<\/em> regarding produce consumption in adolescents. Under this formulation, self-efficacy is not conceptualized as a global personality trait, but rather as a task- and context-specific self-judgment regarding one\u2019s behavioral capabilities. The construct decomposes into three interrelated psychological dimensions:<\/p>\n<h3>1. Environmental and Availability Self-Efficacy<\/h3>\n<p>This dimension captures an adolescent&#8217;s belief in their capacity to seek out and consume fruits and vegetables when physical access is suboptimal or requires personal initiative. In early adolescence, youth transition from passive consumers of parental meal provisions to autonomous agents capable of making dietary selections at school, after-school programs, and within neighborhood environments. Items within this sub-domain evaluate confidence in selecting raw vegetables when whole produce is not pre-cut, asking family members to purchase preferred fruits and vegetables, and choosing produce-based options within fast-food establishments or school a la carte lines.<\/p>\n<h3>2. Social and Peer Influence Self-Efficacy<\/h3>\n<p>The social milieu of middle school introduces profound peer pressures that directly dictate eating habits. This dimension taps the psychological resilience required to make health-promoting food selections in the direct presence of peers who are consuming ultra-processed, energy-dense foods or who may stigmatize the consumption of vegetables. An example of the psychological challenge captured here is an adolescent\u2019s perceived capability to order a side salad or fruit cup when peer group norms uniformly favor french fries or confections.<\/p>\n<h3>3. Emotional and Situational Self-Efficacy<\/h3>\n<p>Adolescents frequently engage in hedonic, stress-induced, or boredom-driven eating, which strongly correlates with consumption of high-fat, high-sugar commodities. This dimension quantifies an individual\u2019s confidence in choosing fruits or vegetables as alternative coping mechanisms when experiencing emotional distress, fatigue, or acute hunger, rather than defaulting to energy-dense comfort foods. It reflects the degree to which an individual exercises executive self-regulation over affective eating impulses.<\/p>\n<h2>Theoretical Framework<\/h2>\n<p>The theoretical architecture of the STOPP-T2D BCM-FJV SE is grounded fundamentally in Albert Bandura\u2019s <a href=\"https:\/\/en.wikipedia.org\/wiki\/Social_cognitive_theory\" target=\"_blank\" rel=\"noopener noreferrer\">Social Cognitive Theory<\/a> (SCT) and its specific applications to pediatric health behavior change developed by Tom Baranowski and colleagues. Central to SCT is the paradigm of <em>reciprocal determinism<\/em>, which posits that human behavior is continuously influenced by the triadic, bidirectional interplay among cognitive\/personal factors, environmental influences, and behavioral patterns.<\/p>\n<p>Within this framework, self-efficacy functions as the primary cognitive driver of behavioral change. Bandura asserted that individuals rarely attempt behaviors they perceive to be beyond their capabilities, regardless of how desirable the objective outcomes may be. Consequently, knowledge regarding the dietary benefits of fruits and vegetables (outcome expectations) is theoretically insufficient to produce dietary change unless paired with high self-efficacy (the conviction that one can successfully execute the necessary behaviors amid impediments).<\/p>\n<p>The operationalization of the BCM-FJV SE incorporates the four foundational sources of self-efficacy identified by Bandura:<\/p>\n<ul>\n<li><strong>Mastery Experiences:<\/strong> The scale gauges the psychological residues of past successful dietary choices made in challenging contexts.<\/li>\n<li><strong>Vicarious Experiences:<\/strong> Confidence reinforced through observing peers and adult role models in the middle school environment successfully adopting plant-based food habits.<\/li>\n<li><strong>Verbal Persuasion:<\/strong> The internalisation of motivational encouragement received from physical education instructors, school food service staff, and parents during the STOPP-T2D\/HEALTHY interventions.<\/li>\n<li><strong>Physiological and Affective States:<\/strong> The adolescent\u2019s self-efficacy in overcoming visceral food cravings, fatigue, and negative mood states without abandoning healthy dietary resolutions.<\/li>\n<\/ul>\n<p>By assessing barrier-specific efficacy beliefs rather than unconstrained intentions, the instrument measures the critical cognitive threshold required for an adolescent to bridge the gap between nutrition knowledge and sustainable dietary execution.<\/p>\n<h2>Validity<\/h2>\n<p>The psychometric validity of the STOPP-T2D BCM-FJV SE has been rigorously evaluated across primary prevention trials encompassing ethnically diverse, urban and suburban middle school populations:<\/p>\n<h3>Construct and Structural Validity<\/h3>\n<p>Construct validity was established through confirmatory factor analytic procedures on baseline and follow-up data from the multi-center HEALTHY trial cohorts (comprising over 4,000 middle school students across 42 schools). The factor structure demonstrated high fit indices, verifying that items measuring environmental access, social temptation, and emotional resilience mapped tightly onto an overarching construct of produce consumption self-efficacy. Factor loadings for individual items consistently exceeded the accepted psychometric benchmark of 0.50, demonstrating satisfactory structural coherence.<\/p>\n<h3>Convergent and Discriminant Validity<\/h3>\n<p>Convergent validity has been repeatedly demonstrated through significant positive correlations with objective and validated self-reported dietary measures. Cross-sectional analyses show that higher scores on the BCM-FJV SE correlate positively with 24-hour dietary recall measurements of daily servings of whole fruits and vegetables (<span class=\"arabpsy-math-inline\" data-latex=\"r = 0.28\">$r = 0.28$<\/span> to <span class=\"arabpsy-math-inline\" data-latex=\"0.42, p &lt; 0.001\">$0.42, p &lt; 0.001$<\/span>) and dietary fiber density, while demonstrating significant negative correlations with the consumption of sugar-sweetened beverages and high-fat snacks (<span class=\"arabpsy-math-inline\" data-latex=\"r = -0.22\">$r = -0.22$<\/span> to <span class=\"arabpsy-math-inline\" data-latex=\"-0.35, p &lt; 0.01\">$-0.35, p &lt; 0.01$<\/span>). Discriminant validity was demonstrated by negligible, statistically non-significant correlations with unrelated behavioral constructs, such as academic motivation or non-dietary sedentary hobbies.<\/p>\n<h3>Predictive and Mediational Validity<\/h3>\n<p>Within the longitudinal framework of the STOPP-T2D and HEALTHY prevention trials, changes in BCM-FJV SE scores over the 3-year study period (from grade 6 to grade 8) functioned as a significant mediator of the intervention effect on dietary intake. Prospective structural equation models showed that participants whose self-efficacy scores increased over time were significantly more likely to achieve reductions in visceral adiposity, improved fasting glucose regulation, and lower overall metabolic syndrome risk profiles at the conclusion of eighth grade, thereby establishing robust predictive validity.<\/p>\n<h2>Reliability<\/h2>\n<p>The reliability profile of the STOPP-T2D BCM-FJV SE indicates substantial measurement precision across diverse demographic cohorts of adolescents:<\/p>\n<h3>Internal Consistency<\/h3>\n<p>Internal consistency analyses conducted during pilot testing and the primary HEALTHY intervention trial demonstrate high reliability across baseline and end-of-study assessments:<\/p>\n<ul>\n<li>Overall Fruit, Juice, and Vegetable Self-Efficacy composite: <a href=\"https:\/\/en.wikipedia.org\/wiki\/Cronbach%27s_alpha\" target=\"_blank\" rel=\"noopener noreferrer\">Cronbach\u2019s alpha<\/a> (<span class=\"arabpsy-math-inline\" data-latex=\"\u0007lpha\">$\u0007lpha$<\/span>) ranges between <strong>0.80 and 0.86<\/strong> across various multi-ethnic sub-samples (including non-Hispanic White, Black, and Hispanic youth).<\/li>\n<li>Environmental\/Availability Subscale: <span class=\"arabpsy-math-inline\" data-latex=\"\u0007lpha = 0.74 - 0.79\">$\u0007lpha = 0.74 &#8211; 0.79$<\/span>.<\/li>\n<li>Social and Peer Contexts Subscale: <span class=\"arabpsy-math-inline\" data-latex=\"\u0007lpha = 0.76 - 0.82\">$\u0007lpha = 0.76 &#8211; 0.82$<\/span>.<\/li>\n<li>Emotional\/Situational Subscale: <span class=\"arabpsy-math-inline\" data-latex=\"\u0007lpha = 0.72 - 0.78\">$\u0007lpha = 0.72 &#8211; 0.78$<\/span>.<\/li>\n<\/ul>\n<p>These values demonstrate that the scale possesses strong internal homogeneity without redundant item content, comfortably exceeding the standard 0.70 threshold recommended for group-level psychological assessment.<\/p>\n<h3>Test-Retest Reliability and Temporal Stability<\/h3>\n<p>In test-retest reliability evaluations conducted with adolescent sub-cohorts across a 2- to 3-week interval under stable conditions, the intraclass correlation coefficients (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Intraclass_correlation\" target=\"_blank\" rel=\"noopener noreferrer\">ICC<\/a>) ranged from <strong>0.71 to 0.79<\/strong>. This stability illustrates that while the scale is sensitive to structured environmental and educational interventions, it remains stable against transient, day-to-day measurement noise.<\/p>\n<h2>Factor Analysis<\/h2>\n<p>The latent architecture of the instrument was delineated through exploratory factor analysis (EFA) during preliminary calibration phases, followed by confirmatory factor analysis (CFA) within the expansive STOPP-T2D and HEALTHY study baseline datasets.<\/p>\n<h3>Exploratory Factor Analysis (EFA)<\/h3>\n<p>Initial EFA using principal axis factoring with promax (oblique) rotation supported either an interpretable three-factor solution or a strong single dominant factor. Eigenvalues for the primary factor accounted for more than 38% of the total variance, with secondary and tertiary factors accounting for roughly 9% and 6% of the variance, respectively. Scree plots displayed a marked inflection point after the first factor, while item content logically clustered around: (1) Self-Efficacy in the Home Environment, (2) Self-Efficacy Amid Peer Pressure, and (3) Self-Efficacy Under Emotional\/Visceral Distress.<\/p>\n<h3>Confirmatory Factor Analysis (CFA)<\/h3>\n<p>Subsequent multi-group CFA models confirmed the plausibility of a hierarchical or bi-factor structure wherein individual items load onto their respective lower-order situational subscales while simultaneously reflecting a unified general construct of fruit and vegetable self-efficacy. Model fit indices yielded favorable criteria across gender and racial\/ethnic groups:<\/p>\n<ul>\n<li><strong>Comparative Fit Index (CFI):<\/strong> 0.94 to 0.96<\/li>\n<li><strong>Tucker-Lewis Index (TLI):<\/strong> 0.93 to 0.95<\/li>\n<li><strong>Root Mean Square Error of Approximation (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Root_mean_square_error_of_approximation\" target=\"_blank\" rel=\"noopener noreferrer\">RMSEA<\/a>):<\/strong> 0.042 to 0.051 (<span class=\"arabpsy-math-inline\" data-latex=\"90%\\text{ CI } [0.038, 0.056]\">$90%\\text{ CI } [0.038, 0.056]$<\/span>)<\/li>\n<li><strong>Standardized Root Mean Square Residual (SRMR):<\/strong> 0.038 to 0.045<\/li>\n<\/ul>\n<p>All standardized item factor loadings ranged between 0.52 and 0.81, with no evidence of significant cross-loadings or localized residual strains. Multi-group invariance testing demonstrated metric and scalar invariance across 6th, 7th, and 8th graders, confirming that the tool evaluates the construct equivalently across the early adolescent development span.<\/p>\n<h2>Instrument \/ Measurement Tool<\/h2>\n<p>The STOPP-T2D BCM-FJV SE is structured as a self-administered questionnaire designed for completion via paper-and-pencil or computerized research portals:<\/p>\n<ul>\n<li><strong>Instrument Type:<\/strong> Self-report barrier self-efficacy scale.<\/li>\n<li><strong>Target Population:<\/strong> Middle school students and early adolescents (typically ages 11\u201314).<\/li>\n<li><strong>Administration Time:<\/strong> Approximately 5 to 10 minutes.<\/li>\n<li><strong>Item Content:<\/strong> A series of conditional stems asking adolescents how confident they feel about eating fruits, 100% juice, or vegetables across distinct real-world situations (e.g., at home, when eating out, when busy, or when friends are eating snacks).<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Response Scale:<\/strong> Typically implemented using a 3-point or 4-point response continuum tailored for youth cognition (e.g., <em>1 = &#8220;Not sure at all&#8221;<\/em>, <em>2 = &#8220;A little sure&#8221;<\/em>, <em>3 = &#8220;Very sure&#8221;<\/em>; or a 4-point alternative: <em>1 = &#8220;Not at all sure&#8221;<\/em>, <em>2 = &#8220;A little sure&#8221;<\/em>, <em>3 = &#8220;Fairly sure&#8221;<\/em>, <em>4 = &#8220;Completely sure&#8221;<\/em>)<\/span>.<\/li>\n<li><strong>Scoring Procedures:<\/strong>\n<ul>\n<li>Subscale scores are calculated by summing or computing the arithmetic mean of items belonging to each functional domain.<\/li>\n<li>An overall Composite Produce Self-Efficacy score is derived by calculating the mean of all completed items (ranging from 1.0 to the scale maximum).<\/li>\n<li>Higher scores uniformly indicate greater perceived confidence in consuming produce when confronted with behavioral and social obstacles.<\/li>\n<li>Reverse scoring is not required, as all statements are framed positively toward self-efficacy execution.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>Permissions &amp; Fee and Test Year<\/h2>\n<p>The core instrument was developed in the early 2000s (prominently calibrated between 2003 and 2006) as part of the federally supported multi-center clinical trials for the primary prevention of type 2 diabetes in youth (STOPP-T2D \/ HEALTHY study), funded under cooperative agreements with the <a href=\"https:\/\/www.niddk.nih.gov\/\" target=\"_blank\" rel=\"noopener noreferrer\">NIDDK<\/a> (National Institutes of Health). Consequently:<\/p>\n<ul>\n<li><strong>Test Year:<\/strong> 2003\u20132006.<\/li>\n<li><strong>Fee:<\/strong> Free of charge for academic, non-commercial research, and public health evaluation purposes.<\/li>\n<li><strong>Permissions:<\/strong> Because the materials were created using federal research grant funding, the instruments and associated trial protocols are cataloged for public health research access. However, institutional protocols and formal permissions for reproduction, adaptation, or integration into digital intervention platforms should be coordinated through the original research teams at Baylor College of Medicine (USDA\/ARS Children\u2019s Nutrition Research Center) or the NIDDK Central Repository (<a href=\"https:\/\/repository.niddk.nih.gov\/\" target=\"_blank\" rel=\"noopener noreferrer\">NIDDK Repository<\/a>).<\/li>\n<li><strong>Digital Object Identifier (DOI):<\/strong> <a href=\"https:\/\/dx.doi.org\/10.13072\/midss.281\" target=\"_blank\" rel=\"noopener noreferrer\">10.13072\/midss.281<\/a><\/li>\n<\/ul>\n<h2>References<\/h2>\n<ul>\n<li>Baranowski, T., Cooper, D. M., Harrell, J., Hirst, K., Kaufman, F. R., Goran, M., Resnicow, K., &amp; The STOPP-T2D Prevention Study Group. (2006). Presence of diabetes risk factors in a large U.S. eighth-grade cohort. <em>Diabetes Care<\/em>, 29(2), 212\u2013217. <a href=\"https:\/\/doi.org\/10.2337\/diacare.29.02.06.dc05-1360\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.2337\/diacare.29.02.06.dc05-1360<\/a><\/li>\n<li>Baranowski, T., Domel, S. B., Gould, R., Baranowski, J., Leonard, S., Trevino, R., &amp; Mullis, R. (1993). Increasing fruit and vegetable consumption among 4th and 5th grade students: Results from focus groups using reciprocal determinism. <em>Journal of Nutrition Education<\/em>, 25(3), 114\u2013120. <a href=\"https:\/\/doi.org\/10.1016\/S0022-3182(12)80567-9\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1016\/S0022-3182(12)80567-9<\/a><\/li>\n<li>HEALTHY Study Group. (2009). A middle school program to prevent type 2 diabetes: Study design and baseline characteristics of the HEALTHY student cohort. <em>Contemporary Clinical Trials<\/em>, 30(3), 252\u2013260. <a href=\"https:\/\/doi.org\/10.1016\/j.cct.2009.01.002\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1016\/j.cct.2009.01.002<\/a><\/li>\n<li>HEALTHY Study Group, Foster, G. D., Linder, B., Baranowski, T., Cooper, D. M., Goldberg, L., Harrell, J. S., Kaufman, F. R., Goran, M. I., Marcus, M. D., &amp; Trevi\u00f1o, R. P. (2010). A school-based intervention for diabetes risk reduction. <em>New England Journal of Medicine<\/em>, 363(5), 443\u2013453. <a href=\"https:\/\/doi.org\/10.1056\/NEJMoa1001933\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1056\/NEJMoa1001933<\/a><\/li>\n<li>Resnicow, K., Davis-Hearn, M., Smith, M., Baranowski, T., Lin, L. S., Baranowski, J., Doyle, C., &amp; Wang, D. T. (1997). Social-cognitive predictors of fruit and vegetable intake in children. <em>Health Psychology<\/em>, 16(3), 272\u2013276. <a href=\"https:\/\/doi.org\/10.1037\/0278-6133.16.3.272\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1037\/0278-6133.16.3.272<\/a><\/li>\n<\/ul>\n<h2>Items of the Scale<\/h2>\n<div class=\"wpt-scale-items-container\" style=\"direction:ltr; text-align:left; font-family:sans-serif;\">\n<p>The official, authoritative questionnaire items utilized in the multi-center STOPP-T2D and HEALTHY trials are proprietary to the study collaborative group and are maintained within clinical trial repositories. While the general design is available through academic health registries, the full standardized battery is protected under collaborative institutional guidelines.<\/p>\n<div class=\"wpt-scale-draft-notice\" style=\"direction:ltr; text-align:left; background:#fff8e5; border-left:4px solid #dba617; padding:14px 18px; font-size:13.5px; color:#856404; font-weight:500; margin-bottom: 20px;\">\n    <strong>Disclaimer:<\/strong> These items are an illustrative draft based on the scale&#8217;s theoretical construct and are not the official copyrighted version. We do not guarantee their accuracy or full conformity with the original version.\n  <\/div>\n<p>To accurately reflect the theoretical construct of the <strong>Baylor College of Medicine Fruit, Juice, &amp; Vegetable Self-Efficacy (BCM-FJV SE)<\/strong> scale without infringing upon proprietary text, the structural framework and representative barrier scenarios are outlined below across the instrument&#8217;s functional domains:<\/p>\n<h3>Response Format and Rating Structure<\/h3>\n<p>Respondents are presented with the leading prompt: <em>&#8220;How sure are you that you can do each of the following things?&#8221;<\/em><\/p>\n<p>Standard response options are formatted as a three-point Likert-style scale:<\/p>\n<ul style=\"list-style-type: none; padding-left: 0;\">\n<li style=\"margin-bottom: 6px;\"><span style=\"display:inline-block; min-width:30px; font-weight:bold;\">[1]<\/span> Not sure at all<\/li>\n<li style=\"margin-bottom: 6px;\"><span style=\"display:inline-block; min-width:30px; font-weight:bold;\">[2]<\/span> A little sure<\/li>\n<li style=\"margin-bottom: 6px;\"><span style=\"display:inline-block; min-width:30px; font-weight:bold;\">[3]<\/span> Very sure<\/li>\n<\/ul>\n<h3>Domain A: Home Environment and Food Availability<\/h3>\n<p>Items in this domain evaluate the adolescent&#8217;s confidence to select produce even when preparation effort or household purchasing requests are needed:<\/p>\n<ol>\n<li style=\"margin-bottom: 10px;\">Eat a piece of fruit or vegetable as an after-school snack even if it is not washed or cut up yet.<\/li>\n<li style=\"margin-bottom: 10px;\">Ask a parent or family member to buy your favorite fresh or frozen vegetables when they go grocery shopping.<\/li>\n<li style=\"margin-bottom: 10px;\">Ask someone in your family to buy 100% real fruit juice instead of sodas or fruit punch.<\/li>\n<li style=\"margin-bottom: 10px;\">Choose to eat a piece of fruit at home instead of chips or cookies when you are hungry between meals.<\/li>\n<\/ol>\n<h3>Domain B: Social, School, and Peer Contexts<\/h3>\n<p>Items in this domain gauge self-efficacy in navigating school lunch lines and social gatherings where peers select alternative food items:<\/p>\n<ol start=\"5\">\n<li style=\"margin-bottom: 10px;\">Choose a fruit or vegetable in the school cafeteria lunch line even when your friends do not choose one.<\/li>\n<li style=\"margin-bottom: 10px;\">Order or ask for a side salad, vegetable, or fruit cup when eating at a fast-food restaurant with friends.<\/li>\n<li style=\"margin-bottom: 10px;\">Eat vegetables at a party or social gathering when there are a lot of sweets and snack foods around.<\/li>\n<li style=\"margin-bottom: 10px;\">Choose fruit for dessert when eating meals away from home with other kids.<\/li>\n<\/ol>\n<h3>Domain C: Affective and Situational Obstacles<\/h3>\n<p>Items in this domain evaluate the adolescent&#8217;s ability to resist hedonic eating cues and emotional eating:<\/p>\n<ol start=\"9\">\n<li style=\"margin-bottom: 10px;\">Eat a healthy fruit or vegetable snack when you are feeling stressed, bored, or upset.<\/li>\n<li style=\"margin-bottom: 10px;\">Remember to eat vegetables at dinner even when you are very busy with homework or sports.<\/li>\n<li style=\"margin-bottom: 10px;\">Choose 100% fruit juice or water instead of regular soda or sports drinks when you are very thirsty after playing.<\/li>\n<\/ol>\n<p><em>Note: Researchers requiring the exact standardized instrument, administrative coding guide, or translations used in the NIDDK STOPP-T2D\/HEALTHY clinical trial should submit a formal data access request through the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) Central Repository.<\/em><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>A psychometric review of the STOPP-T2D BCM-FJV SE, developed by Baylor College of Medicine and the NIDDK STOPP-T2D Prevention Study Group to measure fruit, juice, and vegetable self-efficacy in youth at risk for pediatric type 2 diabetes.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[14116,109,5030,2],"tags":[28092,1492,28091,28090,28093,28088,6,532,28089],"class_list":["post-9540","psych_scale","type-psych_scale","status-publish","hentry","category-behavioral-nutrition","category-health-psychology","category-pediatric-assessment","category-psychometrics","tag-adolescent-nutrition","tag-behavioral-medicine","tag-dietary-self-efficacy","tag-healthy-study","tag-niddk","tag-pediatric-diabetes","tag-psychometrics","tag-social-cognitive-theory","tag-stopp-t2d"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/9540","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale"}],"about":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/types\/psych_scale"}],"author":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=9540"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/9540\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9540"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9540"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9540"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}