Individual attributes, such as educational background, may influence the degree of health consideration in food consumption. The local social norms may affect the same consideration in the collective level. Represented by education level and the custom rules adherence in food choosing behavior, this study aimed to examine how knowledge influences health consideration in food consumption and how the local social norms moderate this association in a multicultural enriched society. By utilizing the Bayesian Mindsponge Framework (BMF) as a conceptual framework, this (...) study analyzed a dataset of 710 urban residents in Indonesia. There was a negative association between education level and health consideration in food consumption in which the custom rules adherence in food choosing behavior moderated against this negative association. For those with a low level of custom-based food consumption, their health consideration is lower as they have higher education level. However, the opposite trend which is a more intuitive positive association was found in those who consume more custom-based food. Socio-cultural factors have a complex impact on food choosing behavior among Indonesian urban residents. Therefore, governmental policies in the health promotion campaign of healthy-nutritious food should incorporate socio-cultural aspects with a deeper understanding of the human mind’s information processing. (shrink)

Our society is undergoing digital change. Dealing with digital technologies has become a daily practice. Many healthcare facilities are implementing digital technologies. Nurses are placed in a strategic position to be the leader of the digital healthcare workforce. Nursing students are more exposed to this technological advancement as they are future professional nurses. This study aimed to examine how information-processing and exchanging skills in digital spaces affect digital problem-solving skills among nursing students. The Bayesian mindsponge framework (BMF) was used as (...) a conceptual framework. This quantitative study utilized a cross-sectional design. The population was all nursing students in two private nursing institutions located in Bangkok, Thailand (n=476) and Surabaya, Indonesia (n=179). Samples were the total population. Self-developed instrument was used in data collection. Data analysis used BMF analytics. The majority were females aged 20-22 years old who use smartphones and tablets daily. The information-processing and information-exchanging skills in digital spaces were positively associated with digital problem-solving skills among nursing students (MInformationProcess=0.30 and SDInformationProcess=0.05; MInformationExchange=0.37, and SDInformationExchange=0.05). More efforts are needed to improve nursing students’ problem-solving skills by using digital content, for instance, by modifying the information-processing and information-exchanging skills in digital spaces. Collaborative learning methods should be promoted in order to support the creation of conducive environment for supporting knowledge or information-exchanging behavior among nursing students by using digital technology. (shrink)