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. A five-phase method of dyadic analysis adapted from past research was employed to extract nuanced insights from dyadic interviews with AA young adults and family members, and ground findings in behavioral theory (the Social Cognitive Theory, SCT). 37 interviews were conducted: 18 young adults, comprising 10 different AA ethnic subgroups, and 19 family members (10 parents, 9 siblings). Participants described dietary influences that were both active (facilitating, shaping, and restricting) and passive (e.g., sharing foods or environment, mirroring food behaviors). Influences connected strongly with multiple SCT constructs (e.g., behavioral capacity, reinforcements for active influences, and expectations, observational learning for passive influences). Familial influence contributed to changes in the total amount, variety, and healthfulness of foods consumed. Intra-family dynamics were crucial; family members often leveraged each other's persuasiveness or food skills to collaboratively influence diet. AA family-based interventions should consider incorporating both passive and active forms of dietary influence within a family unit, involve multiple family members, and allow for individualization to the unique dynamics and dietary behaviors within each family unit.

'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. Between October and November 2020, 32 second-generation South Asians [mean age 22.4 (SD 2.9), 53% female] participated in online interviews centered around factors involved in their (and their parents) eating behaviors. Thematic analysis revealed three types of parental dietary drivers (socioecological factors that impact the dietary choices of parents): goal-oriented (i.e., parents' dietary intentionality), capacity-related (e.g., environmental barriers) and sociocultural (cultural familiarity, religion and traditions). Participants described three major mechanisms of influence: recommending new foods, cooking for parents, and bringing new foods home. These influences primarily occurred in the household and often involved participants leveraging their own nutritional knowledge and preferences to expand dietary diversity and healthier behaviors among their parents. Evidence suggests that second-generation South Asians may act as powerful agents of dietary change within their households and can provide novel insights to help address and overcome sociocultural, linguistic, and other structural barriers to better understanding and intervening in the health of the South Asian community.

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. Overall, 34 distinct drivers and 247 unique connections were identified. Taste, family, and health had the highest adjusted rankings, while health displayed the strongest network centrality. Interventions aimed at second-generation SAA dietary behaviors may benefit from family-based or multi-level interventions, which consider the complex, unique dietary norms identified.