Evaluating the determinants of sugary beverage consumption among overweight and obese adults: An application of the integrative model of behavioural prediction

Abstract

Objective: The objective of this study was to evaluate the determinants of sugary drink consumption among overweight and obese adults attempting to lose weight using the Integrative Model of Behavioural Prediction (IMB). Design: Cross-sectional design. Method: Determinants of behavioural intentions (attitudes, perceived norms and perceived behavioural control [PBC]) and sugary drink consumption (intentions, skills/abilities, environment and PBC) were evaluated using data collected at a weight loss clinic in a southwestern US city ( n = 338). Determinants of attitudes, injunctive norms, descriptive norms and PBC were evaluated using salient beliefs, which were derived from an elicitation study. Results: Using structural equation modelling, two separate models were evaluated. Both models had good fit (combined model – Comparative Fit Index [CFI] = .970, Tucker–Lewis Index [TLI] = .921, Root Mean Square Error of Approximation [RMSEA] = .062; expanded model – CFI = .966, TLI = .911, RMSEA = .060) and accounted for a significant amount of variance for intentions (40.7%–42%) and sugary drink consumption (16.2%). Conclusion: The IMB appears to be an effective model for planning health education interventions. Health practitioners should operationalise behaviour change techniques and strategies that target attitudes, perceived norms and PBC using the salient beliefs evaluated in this study.

Developing and Validating an Instrument to Evaluate Theory-Based Behavioral Antecedents of Consuming a High-Fiber Diet

“…Furthermore, perceived norms was the strongest predictor (β = 0.402), followed by PBC (β = 0.233), and attitudes (β = 0.135). These results are similar to what has been observed with the aforementioned meta-analyses on the TPB and RAA [16,26], as well as other studies with adults that evaluated determinants of fruit and vegetable consumption [12], sleep behaviors [21], sugar-sweetened beverage consumption [27], and physical activity [28]. More work should be done however, to evaluate additional determinants of intentions to broaden the scope of the RAA.…”

Intentions to reduce sugar-sweetened beverage consumption: the importance of perceived susceptibility to health risks

“…Using the IM, one study found that nutritional knowledge (the only non-demographic predictor) predicted consumption (42) . Another study among overweight and obese adults found that perceived behavioural control, environment and intentions had the largest influence on SSB consumption (43) . These theories offer a useful framework to guide an understanding of key influences on behaviour, but the literature suggests that other modifiable factors may be important when targeting health behaviour change.…”

Why people follow a gluten-free diet? An application of health behaviour models

“…Therefore, the main objective of this study is to understand factors mostly affecting adherence to the GFD from both, celiac and non-celiac people, followers and non-followers of the diet, by considering health behaviour models, IM and MTM. Moreover, while IM has largely been applied to other research mainly on sexual behaviour (Buhi et al, 2014) and sleeping issues (Robbins & Niederdeppe, 2015;Tagler, Stanko, & Forbey, 2017), it has been applied to only one food consumption study (Collado-Rivera, Branscum, Larson, & Gao, 2018). According to Collado-Rivera et al (2018), IM is a useful model for explaining sugary drink consumption among overweight and obese adults.…”

“…Moreover, while IM has largely been applied to other research mainly on sexual behaviour (Buhi et al, 2014) and sleeping issues (Robbins & Niederdeppe, 2015;Tagler, Stanko, & Forbey, 2017), it has been applied to only one food consumption study (Collado-Rivera, Branscum, Larson, & Gao, 2018). According to Collado-Rivera et al (2018), IM is a useful model for explaining sugary drink consumption among overweight and obese adults. Therefore, testing this model is of high interest for researchers.…”