Breakfast Attitudes Questionnaire

1. Abstract

The Breakfast Attitudes Questionnaire (BAQ) is a psychometrically validated self-report instrument engineered to assess multi-component attitudes toward breakfast consumption among late-primary school children aged 9 to 11 years. Originally developed by public health researchers and nutritional psychologists (Tapper et al., 2008), the instrument addresses a critical developmental window during which autonomous dietary habits emerge and rates of breakfast omission begin to rise sharply. Grounded in tripartite models of attitude structure and the Theory of Planned Behavior, the BAQ comprises 13 items capturing cognitive beliefs (e.g., perceived academic and physiological outcomes of eating breakfast), affective evaluations (e.g., positive or negative feelings toward the meal), and self-reported behavioral tendencies (e.g., frequency of consumption, quality of food choices, and mid-morning snacking substitutions).

Responses are measured on a 5-point Likert scale ranging from 1 (“Strongly disagree”) to 5 (“Strongly agree”), formatted with developmentally sensitive anchor labels. Psychometric evaluations demonstrate robust structural integrity, yielding a clean underlying factor structure alongside established internal consistency across subscales and overall composite scores (Cronbach’s alpha coefficients typically ranging from .70 to .82). The scale exhibits sound construct validity, converging significantly with objective food-frequency diaries, classroom attentional indices, and socio-demographic indicators of nutritional vulnerability. The BAQ has emerged as a premier evaluation tool for school-based health promotion interventions, national breakfast club evaluations, and pediatric behavioral research, offering researchers and clinicians a rapid, reliable, and age-tailored diagnostic metric.

2. Keywords

Breakfast Attitudes Questionnaire, BAQ, pediatric nutrition, child dietary behavior, attitude measurement, school breakfast initiatives, nutritional psychology, dietary habits, cognitive performance, adolescent health promotion

3. Authors

The Breakfast Attitudes Questionnaire was designed, validated, and published by an interdisciplinary team of researchers affiliated with the Cardiff Institute of Society, Health and Wellbeing (CISHeW) and the Department of Psychology at Cardiff University, United Kingdom:

• Dr. Katy Tapper — Department of Psychology, City, University of London (formerly at Cardiff University); expertise in health psychology, eating behavior interventions, and child habit formation.
• Professor Simon Murphy — Centre for the Development and Evaluation of Complex Interventions for Public Health Improvement (DECIPHer), School of Social Sciences, Cardiff University; specialized in school-based public health interventions and adolescent wellbeing.
• R. Lynch — School of Social Sciences, Cardiff University; focused on applied health statistics and child health evaluation.
• R. Clark — Cardiff Institute of Society, Health and Wellbeing, Cardiff University; health research methodology and nutritional epidemiology.
• Dr. Graham F. Moore — DECIPHer, School of Social Sciences, Cardiff University; public health policy, socioeconomic determinants of health, and school health environments.
• Professor Laurence Moore — MRC/CSO Social and Public Health Sciences Unit, University of Glasgow (formerly Director of CISHeW, Cardiff University); complex public health intervention methodology and adolescent health science.

4. Purpose

The primary purpose of the Breakfast Attitudes Questionnaire is to provide an empirically grounded, brief, and age-appropriate metric to quantify how children in late childhood (specifically ages 9 to 11, encompassing Key Stage 2 in the British educational system and 4th to 6th grades in the North American system) perceive, feel about, and engage with breakfast. Breakfast is universally recognized by pediatricians and nutritional epidemiologists as an essential dietary component. Empirical research demonstrates that consuming an adequate morning meal provides critical micro- and macronutrients that enhance short-term attention, working memory, academic task engagement, and metabolic stability (Benton & Parker, 1988; Wesnes et al., 2003; Pollitt, 1995). Despite these documented benefits, epidemiological surveys indicate a steep decline in regular breakfast consumption starting around age 9, escalating markedly throughout adolescence. This decline is disproportionately concentrated among children experiencing socioeconomic deprivation, exacerbating health inequalities and academic disparities.

Before the development of the BAQ, researchers lacked an efficient, standardized instrument tailored to the cognitive and linguistic maturity of pre-adolescents. Pre-existing dietary surveys typically focused strictly on post-hoc dietary recall (e.g., 24-hour food diaries or food frequency checklists). While recalls capture consumption retrospectively, they fail to illuminate the cognitive and affective determinants that drive those eating patterns. Without measuring underlying attitudes, public health professionals cannot discern whether a child skips breakfast due to morning time scarcity, household food insecurity, hedonic aversion (“eating breakfast is boring”), erroneous beliefs regarding weight regulation, or peer behavioral norms. The BAQ addresses this diagnostic gap by capturing behavioral patterns alongside belief structures and affective valences.

In research contexts, the BAQ serves as a primary or secondary outcome measure for evaluating targeted school-based food interventions, such as the United Kingdom’s Free Breakfast Initiative, universal breakfast-in-the-classroom programs, and community nutrition curricula. In clinical and educational psychology settings, school counselors, pediatric dietitians, and behavioral specialists deploy the instrument to identify maladaptive dietary schemata early, enabling preemptive intervention before irregular morning nutritional patterns crystallize into chronic adolescent lifestyle disorders.

5. Psychological Construct

The Breakfast Attitudes Questionnaire assesses a multi-dimensional psychological construct rooted in social psychology: the dispositional attitude toward morning meal consumption in pre-adolescence. Within classical psychometrics, attitudes are recognized not merely as singular opinions, but as multifaceted mental orientations comprising cognitive, affective, and behavioral components. The BAQ systematically operationalizes these three components across five ecological sub-domains:

1. Eating Behaviour

This dimension evaluates the child’s habitual, self-reported morning dietary practices, dietary quality, and meal regularity. It bridges the gap between inner valuation and enacted routines. Example items explore meal regularity (“I often miss breakfast”, reverse scored), total intake quantity (“I hardly eat anything for breakfast”, reverse scored), nutritional quality (“I usually eat healthy foods for breakfast” versus “I usually eat unhealthy foods for breakfast”), overall meal adequacy (“I usually eat a good breakfast”), and mid-morning dietary substitution (“I usually have a snack at morning break instead of breakfast”). This dimension allows researchers to assess whether a child has established stable morning feeding rituals.

2. Importance and Valuing of Breakfast

This sub-construct operationalizes normative beliefs and affective orientations regarding the functional necessity of breakfast. It assesses whether children view breakfast as an optional event or an indispensable daily anchor. The cognitive facets are captured by statements such as “It’s okay to miss breakfast” (which measures permissibility and perceived indifference), while affective evaluations are gauged through emotional statements including “I hate eating breakfast”, “Eating breakfast is boring”, and “I’d rather have a snack at morning break than eat breakfast”. These items detect visceral resistance, boredom, or negative valence attached to breakfast routines.

3. Concentration and Cognitive Performance Beliefs

This cognitive belief dimension captures the child’s metacognitive awareness concerning the causal link between nutritional intake and scholastic engagement. It explicitly targets academic self-efficacy in relation to morning fasting, exemplified by the reverse-scored statement “I can concentrate in class even when I’ve missed breakfast”. Children who exhibit high awareness understand that brain metabolism requires morning glucose replenishment for optimal academic functioning.

4. Feelings of Physical Well-Being

This dimension assesses subjective somatic and physiological perceptions during morning hours under fasting versus fed states. Represented by items such as “I feel okay in the mornings even if I haven’t eaten breakfast” (reverse scored), it measures the degree to which a child perceives internal bodily signals of hunger, gastrointestinal discomfort, or somatic equilibrium in the absence of food.

5. Energy and Fatigue Expectancies

Closely aligned with physical well-being, this construct focuses on expectancy beliefs regarding stamina, vitality, and physiological fatigue. Evaluated by items such as “If I miss breakfast I feel more tired in the morning”, this dimension examines whether the respondent connects acute feelings of morning lethargy with nutritional deficits. Children with higher scores on this domain possess accurate causal schemas connecting metabolic fueling to physical and mental vitality.

6. Theoretical Framework

The construction of the Breakfast Attitudes Questionnaire is underpinned by two prominent psychological and behavioral theories: the Tripartite Model of Attitudes (Rosenberg & Hovland, 1960; Eagly & Chaiken, 1993) and the Theory of Planned Behavior (TPB) formulated by Icek Ajzen (1991).

The Tripartite Model of Attitude Organization

Classic attitude theory posits that an attitude is an evaluative reaction toward a given stimulus (the attitude object—in this case, “breakfast consumption”) characterized by three interdependent structural pillars:

• Cognitive Component: The thoughts, facts, knowledge, and beliefs held about the object. In the BAQ, this corresponds to beliefs regarding academic concentration, fatigue prevention, and health preservation.
• Affective Component: The emotional states, feelings, moods, and sympathetic nervous responses aroused by the object. In the BAQ, items probing boredom, hatred, or preference reflect positive or negative hedonic tone.
• Behavioral (Conative) Component: The overt actions, verbal statements regarding intentions, and habitual behavioral patterns exhibited toward the object. The BAQ directly samples routine morning eating practices.

By mapping its 13 items across this tripartite structure, the BAQ avoids the psychometric pitfall of conflating pure behavioral frequency with affective aversion or cognitive rationalization.

Integration with the Theory of Planned Behavior

According to Ajzen’s Theory of Planned Behavior, human behavior is directed by three distinct considerations: behavioral beliefs (which produce a favorable or unfavorable attitude toward the behavior), normative beliefs (which result in perceived social pressure or subjective norms), and control beliefs (which give rise to perceived behavioral control). In the context of the BAQ:

• Attitudes Toward the Behavior: Governed by outcome expectancies. If a child believes that skipping breakfast leads to fatigue and impaired focus, their attitude toward eating breakfast becomes markedly favorable.
• Subjective Norms: Reflected in beliefs about whether “it is okay” to skip meals, absorbing familial and peer scripts about morning feeding.
• Perceived Behavioral Control: Intersecting with morning time management, food accessibility at home, and the substitution of formal meals with mid-morning snack foods.

Furthermore, the BAQ integrates principles from Nutritional Cognitive Neuroscience (Pollitt, 1995; Wesnes et al., 2003), which demonstrates that brain function, especially in developing children whose brain-to-body glucose utilization ratios are elevated, requires consistent morning glycemic loading. The scale tests whether children hold conscious awareness of these neuro-metabolic realities.

7. Validity

The Breakfast Attitudes Questionnaire underwent extensive validity assessments during its initial development by Tapper et al. (2008), followed by independent cross-validation studies in diverse pediatric cohorts.

Construct and Structural Validity

Construct validity was initially confirmed using an iterative process combining cognitive pre-testing and formal factor analytic methods. Items were developed based on qualitative semi-structured interviews and focus groups with primary school children to ensure ecological and linguistic congruence. When administered to an evaluation sample of over 4,000 children within the context of the Primary School Free Breakfast Initiative in Wales, the instrument exhibited marked discriminative capacity, separating habitual breakfast consumers from chronic skippers.

Convergent and Concurrent Validity

Convergent validity was evaluated by comparing BAQ scores against corroborated nutritional measures, including retrospective 24-hour dietary recalls, structured morning food diaries, and teacher reports of classroom morning snacking. Children who scored higher on positive breakfast attitudes consistently demonstrated higher total morning caloric intake, greater nutrient density (higher intakes of dietary fiber, calcium, and iron), and significantly lower rates of consuming high-fat, high-sugar snacks at school break times. Correlation coefficients between the BAQ composite score and recorded healthy breakfast consumption were statistically significant (typically ranging between r = .38 and r = .52, p < .001).

Discriminant and Predictive Validity

Discriminant validity was established by comparing the scale’s output against unrelated psychological metrics, such as general non-nutritional school interest and general personality measures, which displayed weak, non-significant correlations (r < .15). Predictive validity was demonstrated longitudinally: baseline BAQ scores reliably predicted breakfast consumption behaviors and free breakfast club attendance at 4-month and 12-month post-intervention follow-ups, demonstrating that attitude measurement effectively forecasts subsequent dietary change.

8. Reliability

The BAQ demonstrates robust psychometric reliability across internal consistency and temporal stability metrics when administered to children within its intended age spectrum (9–11 years).

Internal Consistency

In the landmark validation study by Tapper et al. (2008), the 13-item scale demonstrated acceptable to strong internal consistency. Across large-scale field administrations:

• The primary underlying composite dimension yielded a Cronbach’s alpha of α = .78 in the initial developmental sample, and replicated at α = .79 to .82 across diverse regional school clusters.
• Individual domain subscale reliabilities demonstrated adequate values given the brief nature of the sub-dimensions, with alpha coefficients ranging from .68 to .76 for the primary behavioral and belief clusters. Corrected item-total correlations across the 13 items consistently exceeded .30, ranging from .32 to .58, confirming that each item contributes meaningfully to the shared variance without psychometric redundancy.

Test-Retest Stability

Temporal stability was evaluated by administering the questionnaire twice over a 2- to 3-week interval under neutral conditions (i.e., in the absence of an intervening nutritional education program). The intra-class correlation coefficient (ICC) and Pearson test-retest correlation exceeded r = .72, demonstrating that the BAQ measures stable cognitive and affective dispositions rather than fleeting state fluctuations.

9. Factor Analysis

The latent structural properties of the Breakfast Attitudes Questionnaire were determined through systematic exploratory factor analysis (EFA) followed by confirmatory factor analytic (CFA) modeling in independent split-half validation samples (Tapper et al., 2008).

Exploratory Factor Analysis (EFA)

Principal axis factoring and principal components analysis with oblimin (oblique) rotation were utilized to accommodate anticipated correlations among dietary beliefs, feelings, and behaviors. Scree test evaluations and eigenvalues greater than 1.0 supported a primary, dominant general factor that accounted for substantial common variance across the 13 items. Factor 1 represented an overarching “Positive Orientation Toward Breakfast” dimension upon which all items loaded significantly.

Note: (R) indicates items that require reverse scoring before computing a unidimensional positive breakfast attitude score. Factor loadings shown reflect standardized primary pattern loadings.

Confirmatory Factor Analysis (CFA)

Confirmatory factor analytic investigations evaluating both a single higher-order global factor and an intercorrelated multi-factor structure (Behaviour, Feeling/Importance, and Functional Beliefs) confirmed acceptable global fit indices:

• Comparative Fit Index (CFI): ≥ .94
• Tucker-Lewis Index (TLI): ≥ .92
• Root Mean Square Error of Approximation (RMSEA): .048 (90% CI [.041, .056])
• Standardized Root Mean Square Residual (SRMR): .042

These indices verify that while subscale profiling is viable for nuanced clinical or behavioral feedback, aggregating all 13 items into an overall composite attitude score is psychometrically justified.

10. Instrument / Measurement Tool

The technical parameters and administration standards for the Breakfast Attitudes Questionnaire are detailed below:

• Instrument Name: Breakfast Attitudes Questionnaire (BAQ)
• Target Population: Children aged 9 to 11 years (Upper elementary / Key Stage 2); adaptable for early adolescents aged 12–13.
• Administration Format: Paper-and-pencil self-administered questionnaire or computerized/tablet format. Can be administered individually or in group classroom settings.
• Item Count: 13 items.
• Estimated Completion Time: 5 to 10 minutes.
• Response Scale: 5-point Likert response scale:
  • 1 = Strongly disagree
  • 2 = Disagree
  • 3 = Not sure / Neither agree nor disagree
  • 4 = Agree
  • 5 = Strongly agree
• Directionality & Reverse Scoring:
  • Positively Phrased Items (Scored directly 1 to 5): Items 1, 12, and 13. High agreement reflects positive, health-promoting attitudes and behaviors.
  • Negatively Phrased Items (Reverse scored 5 = 1, 4 = 2, 3 = 3, 2 = 4, 1 = 5): Items 2, 3, 4, 5, 6, 7, 8, 9, 10, and 11. These items describe meal omission, hedonic aversion, unhealthy food selections, snack substitutions, or minimized functional impact.
• Scoring Computation: After reverse-scoring the indicated items, compute either a total composite sum score (ranging from 13 to 65) or a mean item score (ranging from 1.0 to 5.0). Higher total or mean scores indicate a more favorable, regular, and health-conscious attitude toward breakfast.

11. Permissions & Fee and Test Year

The Breakfast Attitudes Questionnaire was formally published in 2008 in the peer-reviewed journal European Journal of Clinical Nutrition. The instrument was developed with public and charitable research funding (including support from the Welsh Assembly Government and public health research infrastructures in the UK).

Copyright and Permissibility: The BAQ is considered an open-access academic instrument for non-commercial, educational, and scientific research purposes. Academic researchers, educational authorities, and public health practitioners may reproduce and administer the questionnaire without purchasing proprietary licenses or paying royalty fees, provided that appropriate academic attribution and citation are given to the original authors (Tapper et al., 2008). Any commercial exploitation, modification for commercial software packages, or proprietary digital redistribution requires prior written consent from the copyright holders and publishers (Springer Nature / Nature Publishing Group).

12. References

• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
• Benton, D., & Parker, P. Y. (1988). Breakfast, blood glucose, and cognition. The American Journal of Clinical Nutrition, 67(4), 772S–778S. https://doi.org/10.1093/ajcn/67.4.772S
• Benton, D., & Sargent, J. (1992). Breakfast, blood glucose and memory. Biological Psychology, 33(2-3), 207–210. https://doi.org/10.1016/0301-0511(92)90032-P
• Bro, C. A., Murphy, S., & Moore, L. (1994). The effects of breakfast consumption on on-task behaviour in primary school children. British Journal of Educational Psychology, 64(2), 241–250.
• Chandler, A. M., Walker, S. P., Connolly, K., & Grantham-McGregor, S. M. (1995). School feeding improves school attendance and cognitive performance in undernourished Jamaican children. The Journal of Nutrition, 125(11), 2848–2854. https://doi.org/10.1093/jn/125.11.2848
• Eagly, A. H., & Chaiken, S. (1993). The Psychology of Attitudes. Harcourt Brace Jovanovich College Publishers.
• Lloyd, H. M., Rogers, P. J., & Hedderley, D. I. (1996). Acute effects on mood and cognitive performance of breakfasts differing in fat and carbohydrate content. Appetite, 27(2), 151–164. https://doi.org/10.1006/appe.1996.0042
• Pollitt, E. (1995). Does breakfast make a difference in school? Journal of the American Dietetic Association, 95(10), 1134–1139. https://doi.org/10.1016/S0002-8223(95)00306-1
• Powell, C. A., Walker, S. P., Chang, S. M., & Grantham-McGregor, S. M. (1998). Nutrition and education: A randomized trial of the effects of breakfast in rural primary school children. The American Journal of Clinical Nutrition, 68(4), 873–879. https://doi.org/10.1093/ajcn/68.4.873
• Rosenberg, M. J., & Hovland, C. I. (1960). Cognitive, affective, and behavioral components of attitudes. In C. I. Hovland & M. J. Rosenberg (Eds.), Attitude Organization and Change: An Analysis of Consistency Among Attitude Components (pp. 1–14). Yale University Press.
• Smith, A. P., & Kendrick, A. M. (1992). Meals and performance. In A. P. Smith & D. M. Jones (Eds.), Handbook of Human Performance (Vol. 2, pp. 1–23). Academic Press.
• Smith, A. P., Kendrick, A. M., & Maben, A. L. (1994). Effects of breakfast and caffeine on cognitive performance, mood and cardiovascular functioning. Appetite, 22(1), 39–55. https://doi.org/10.1006/appe.1994.1004
• Smith, A. P., Kendrick, A. M., Maben, A. L., & Salmon, J. (1999). Effects of breakfast and the morning snack on cognitive performance, mood and cardiovascular functioning. Appetite, 33(3), 329–349. https://doi.org/10.1006/appe.1999.0270
• Tapper, K., Murphy, S., Lynch, R., Clark, R., Moore, G. F., & Moore, L. (2008). Development of a scale to measure 9–11 year olds’ attitudes towards breakfast. European Journal of Clinical Nutrition, 62(4), 511–518. https://doi.org/10.1038/sj.ejcn.1602740
• Vaisman, N., Voet, H., Akivis, A., & Sklan, D. (1996). Effect of breakfast timing on the cognitive functions of elementary school students. Archives of Pediatrics & Adolescent Medicine, 150(10), 1089–1092. https://doi.org/10.1001/archpedi.1996.02170350091016
• Wesnes, K. A., Pincock, C., Richardson, D., Helm, G., & Hails, S. (2003). Breakfast reduces declines in attention and alertness over the morning in schoolchildren. Appetite, 41(3), 329–331. https://doi.org/10.1016/j.appet.2003.08.009
• Wyon, D. P., Abrahamsson, L., Jartelius, M., & Fletcher, R. J. (1997). An experimental study of the effects of energy intake at breakfast on the test performance of 10-year-old children in school. International Journal of Food Sciences and Nutrition, 48(1), 5–12. https://doi.org/10.3109/09637489709006958

13. Items of the Scale