Rapid, Tailored Dietary and Health Education Through A Social Media Chatbot Microintervention: Development and Usability Study With Practical Recommendations.

Background: There is an urgent need to innovate methods of health education, which can often be resource- and time-intensive. Microinterventions have shown promise as a platform for rapid, tailored resource dissemination yet have been underexplored as a method of standardized health or dietary education; social media chatbots display unique potential as a modality for accessible, efficient, and affordable educational microinterventions.

Objective: This study aims to provide public health professionals with practical recommendations on the use of social media chatbots for health education by (1) documenting the development of a novel social media chatbot intervention aimed at improving dietary attitudes and self-efficacy among South Asian American young adults and (2) describing the applied experiences of implementing the chatbot, along with user experience and engagement data.

A Multi-Stage Dyadic Qualitative Analysis to Disentangle How Dietary Behaviors of Asian American Young Adults are Influenced by Family.

The dietary behaviors of Asian American (AA) young adults, who face a growing non-communicable disease burden, are impacted by complex socio-ecological forces. Family plays a crucial role in the lifestyle behaviors of AA young adults; however, little is known on the methods, contributors, and impact of familial dietary influence. This study aims to deconstruct the mechanisms of AA young adult familial dietary influence through a multi-perspective qualitative assessment.

'We know what he likes, even if he doesn't know': how the children of South Asian immigrants characterize and influence the diets of their parents.

Foreign-born (first-generation) South Asians face a growing diet-related chronic disease burden. Little is known about whether the adult US-born (second-generation) children of South Asian immigrants can provide unique insights as changemakers in their parents' dietary behaviors. This study aims to assess how second-generation South Asians describe and influence the dietary behaviors of their parents.

Mapping drivers of second-generation South Asian American eating behaviors using a novel integration of qualitative and social network analysis methods.

This study explores a novel, mixed qualitative method to deconstruct the diet of second-generation South Asian Americans (SAAs). Online interviews of 32 second-generation SAAs were conducted usingintegrated free-listing and mind-mapping. Ranked free-lists were aggregated to identify salient drivers, while connections made within mind-maps were analyzed using social network analysis (SNA) methods.