'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.

How Shared Dietary Behaviors Within Asian American Families Are Influenced by Emotional Interaction Qualities: A Nationwide Cross-sectional Analysis.

BACKGROUND: Asian American (AA) young adults face a looming diet-related non-communicable disease crisis. Interactions with family members are pivotal in the lives of AA young adults and form the basis of family-based interventions; however, little is known on the role of these interactions in shared family food behaviors. Through an analysis of 2021 nationwide survey data of 18-35-year-old AAs, this study examines how the quality of family member interactions associates with changes in shared food purchasing, preparation, and consumption. METHOD: Interaction quality was assessed through 41 emotions experienced while interacting with family, and was categorized as positive (e.g., "I look forward to it"), negative (e.g., "I feel annoyed"), and appreciation-related (e.g., "I feel respected") interactions. Participants were also asked how frequently they ate meals, ate out, grocery shopped, and cooked with their family. RESULTS: Among the 535 AAs surveyed (47.6% East Asian, 21.4% South Asian, 22.6% Southeast Asian), 842 unique family interactions were analyzed; 43.5% of interactions were with mothers, followed by siblings (27.1%), and fathers (18.5%). Participants most frequently ate meals with their family (at least daily for 33.5% of participants), followed by cooking (at least daily for 11.3%). In adjusted analyses, an increase in shared food behaviors was particularly associated with positive interactions, although most strongly with cooking together and least strongly with eating meals together; significant differences between ethnic subgroups were not observed. CONCLUSION: Findings revealed the importance of family interaction quality when leveraging family relationships to develop more tailored, impactful AA young adult dietary interventions.

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.

Psychiatric Healthcare Experiences of South Asian Patients with Severe Mental Illness Diagnoses and Their Families in New York City: A Qualitative Study.

South Asians (SAs) underutilize mental health services compared to many racial and ethnic groups in the United States (US), yet there is limited research on the experiences of SAs living with severe mental illness (SMI). This study examined psychiatric healthcare experiences of SA patients with SMI diagnoses (e.g., severe depression, bipolar disorder, schizophrenia) in New York City. Data collection included semi-structured interviews with 36 participants (21 patients, 11 family members, 4 clinicians). Data was managed in NVivo. Two pairs of SA researchers conducted thematic analysis. Limited mental health knowledge led to delayed care for SAs due to a low perceived need for help. Ease of access, linguistic resources, patient-provider relationships, and family involvement influenced psychiatric healthcare experiences. Prescribed medications, self-motivation, communication, and religious practices were factors aiding symptom management and recovery. Findings highlight the need for improving psychiatric healthcare access and culturally-salient mental health education for SA communities.

Stakeholder Perspectives on the Impact of COVID-19 on the Implementation of a Community-Clinic Linkage Model in New York City.

Community-clinical linkage models (CCLM) have the potential to reduce health disparities, especially in underserved communities; however, the COVID-19 pandemic drastically impacted their implementation. This paper explores the impact of the pandemic on the implementation of CCLM intervention led by community health workers (CHWs) to address diabetes disparities among South Asian patients in New York City. Guided by the Consolidated Framework for Implementation Research (CFIR), 22 stakeholders were interviewed: 7 primary care providers, 7 CHWs, 5 community-based organization (CBO) representatives, and 3 research staff. Semi-structured interviews were conducted; interviews were audio-recorded and transcribed. CFIR constructs guided the identification of barriers and adaptations made across several dimensions of the study's implementation context. We also explored stakeholder-identified adaptations used to mitigate the challenges in the intervention delivery using the Model for Adaptation Design and Impact (MADI) framework. (1) Communication and engagement refers to how stakeholders communicated with participants during the intervention period, including difficulties experienced staying connected with intervention activities during the lockdown. The study team and CHWs developed simple, plain-language guides designed to enhance digital literacy. (2) Intervention/research process describes intervention characteristics and challenges stakeholders faced in implementing components of the intervention during the lockdown. CHWs modified the health curriculum materials delivered remotely to support engagement in the intervention and health promotion. (3) community and implementation context pertains to the social and economic consequences of the lockdown and their effect on intervention implementation. CHWs and CBOs enhanced efforts to provide emotional/mental health support and connected community members to resources to address social needs. Study findings articulate a repository of recommendations for the adaptation of community-delivered programs in under-served communities during a time of public health crises.

Examining Changes in Sleep Duration Associated with the Onset of the COVID-19 Pandemic: Who is Sleeping and Who is Not?

The COVID-19 pandemic has resulted in social isolation and reports of insomnia. However, reports of changes in sleep duration and associated factors are few. To determine the impact of COVID-19 on changes in sleep behavior, data were analyzed from an online survey of adults recruited via social media that included questions asking whether the respondent slept less or more after the onset of the pandemic as well as self-reported sociodemographic and occupational information; beliefs about COVID-19; and responses pertaining to loneliness, anxiety, and depression. There were 5,175 respondents; 53.9% had a change in sleep duration.17.1% slept less and 36.7% slept more. Sleeping more was related to greater education, being single/divorced/separated, unemployed or a student. Being retired, divorced/separated or a homemaker, and living in the Mountain or Central time zones were associated with less sleep. Beliefs that COVID-19 would result in personal adverse consequences was associated with both more and less sleep. However, the strongest associations for both more and less sleep were seen with depression, anxiety, and loneliness. In summary, changes in sleep duration since the start of the COVID-19 pandemic were highly prevalent among social media users and were associated with several sociodemographic factors and beliefs that COVID-19 would have adverse personal impacts. However, the strongest associations occurred with worse mental health suggesting that improvements may occur with better sleep.Supplemental data for this article is available online at https://doi.org/10.1080/08964289.2021.2002800 .

Evaluating the healthfulness of Asian American young adult dietary behaviors and its association with family structure: Disaggregated results from NHIS 2015.

Background: Asian Americans (AA) young adults face a growing non-communicable disease burden linked with poor dietary behaviors. Family plays a significant role in shaping the diet of AA young adults, although little is known on the specific types of family structures most associated with different dietary behaviors. Aim: This analysis explores the changes in dietary behaviors across different AA young adult family structural characteristics. Methods: Nationwide data of 18-35-year-old self-identified Asians surveyed in the 2015 National Health Interview Survey (NHIS) was analyzed. Family structure was measured through family size, family health, and family members in one's life. The Dietary Screener Questionnaire (DSQ) measured the average intake of 10 food and nutrient groups. Published dietary guidelines were used to calculate the number of dietary recommendations met. Results: 670 AA young adults with dietary data were analyzed (26.1% Asian Indian, 26.1% Chinese, 19.3% Filipino, 28.5% other Asian). Participants had an average family size of 2.3. In weighted analyses, 19% of AA young adults met none of the examined dietary recommendations, and only 14% met 3-4 guidelines. Living with a child was associated meeting more dietary recommendations (adjusted odds ratio [AOR]: 1.22; 95%CI: 1.05, 1.42). The adjusted association between living with an older adult and lower odds of meeting dietary recommendations approached significance (AOR: 0.70; 95%CI: 0.49, 1.00). Conclusions: Findings revealed the important role of children and older adults in influencing the diet of AA young adults. Further mixed-methods research to disentangle mechanisms behind the influence of family structure on diet is warranted.

Leveraging Multiyear, Geospatial Social Media Data for Health Policy Evaluations: Lessons From the Philadelphia Beverage Tax.

CONTEXT: Public reactions to health policies are vital to understand policy sustainability and impact but have been elusively difficult to dynamically measure. The 2021 launch of the Twitter Academic Application Programming Interface (API), allowing for historical tweet analyses, represents a potentially powerful tool for complex, comprehensive policy analyses. OBJECTIVE: Using the Philadelphia Beverage Tax (implemented January 2017) as a case study, this research extracted longitudinal and geographic changes in sentiments, and key influencers in policy-related conversations. DESIGN: The Twitter API was used to retrieve all publicly available tweets related to the Tax between 2016 and 2019. SETTING: Twitter. PARTICIPANTS: Users who posted publicly available tweets related to the Philadelphia Beverage Tax (PBT). MAIN OUTCOME: Tweet content, frequency, sentiment, and user-related information. MEASURES: Tweet content, authors, engagement, and location were analyzed in parallel to key PBT events. Published emotional lexicons were used for sentiment analyses. RESULTS: A total of 45 891 tweets were retrieved (1311 with geolocation data). Changes in the tweet volume and sentiment were strongly driven by Tax-related litigation. While anger and fear increased in the months prior to the policy's implementation, they progressively decreased after its implementation; trust displayed an inverse trend. The 50 tweeters with the highest positive engagement included media outlets (n = 24), displaying particularly high tweet volume/engagement, and public personalities (n = 10), displaying the greatest polarization in tweet sentiment. Most geo-located tweets, reflecting 321 unique locations, were from the Philadelphia region (55.2%). Sentiment and positive engagement varied, although concentrations of negative sentiments were observed in some Philadelphia suburbs. CONCLUSIONS: Findings highlighted how longitudinal Twitter data can be leveraged to deconstruct specific, dynamic insights on public policy reactions and information dissemination to inform better policy implementation and evaluation (eg, anticipating catalysts for both heightened public interest and geographic, sentiment changes in policy conversations). This study provides policymakers a blueprint to conduct similar cost and time efficient yet dynamic and multifaceted health policy evaluations.

Acculturation and Associations with Ultra-processed Food Consumption among Asian Americans: NHANES, 2011-2018.

BACKGROUND: Ultra-processed food (UPF) consumption is linked to adverse health outcomes, including cardiovascular disease and all-cause mortality. Asian Americans (AAs) are the fastest growing ethnic group in the United States, yet their dietary patterns have seldom been described. OBJECTIVES: The aim was to characterize UPF consumption among AAs and determine whether acculturation is associated with increased UPF consumption. METHODS: The NHANES is an annual, cross-sectional survey representative of the US population. We examined 2011-2018 NHANES data, which included 2404 AAs ≥18 y old with valid 24-h dietary recall. Using day 1 dietary recall data, we characterized UPF consumption as the percentage of caloric intake from UPFs, using the NOVA classification system. Acculturation was characterized by nativity status, nativity status and years in the United States combined, home language, and an acculturation index. We assessed the association between acculturation and UPF consumption using linear regression analyses adjusted for age, sex, marital status, education, income, self-reported health, and self-reported diet quality. RESULTS: UPFs provided, on average, 39.3% (95% CI: 38.1%, 40.5%) of total energy intake among AAs. In adjusted regression analyses, UPF consumption was 14% (95% CI: 9.5%, 17.5%; P < 0.05) greater among those with the highest compared with the lowest acculturation index score, 12% (95% CI: 8.5%, 14.7%: P < 0.05) greater among those who speak English only compared with non-English only in the home, 12% (95% CI: 8.6%, 14.7%: P < 0.05) greater among US-born compared with foreign-born AAs, and 15% (95% CI: 10.7%, 18.3%: P < 0.05) greater among US-born compared with foreign-born AAs with <10 y in the United States. CONCLUSIONS: UPF consumption was common among AAs, and acculturation was strongly associated with greater proportional UPF intake. As the US-born AA population continues to grow, UPF consumption in this group is likely to increase. Further research on disaggregated AA subgroups is warranted to inform culturally tailored dietary interventions.

Employment conditions as barriers to the adoption of COVID-19 mitigation measures: how the COVID-19 pandemic may be deepening health disparities among low-income earners and essential workers in the United States.

BACKGROUND: The COVID-19 pandemic has disproportionately impacted economically-disadvantaged populations in the United States (US). Precarious employment conditions may contribute to these disparities by impeding workers in such conditions from adopting COVID-19 mitigation measures to reduce infection risk. This study investigated the relationship between employment and economic conditions and the adoption of COVID-19 protective behaviors among US workers during the initial phase of the COVID-19 pandemic. METHODS: Employing a social media advertisement campaign, an online, self-administered survey was used to collect data from 2,845 working adults in April 2020. Hierarchical generalized linear models were performed to assess the differences in engagement with recommended protective behaviors based on employment and economic conditions, while controlling for knowledge and perceived threat of COVID-19, as would be predicted by the Health Belief Model (HBM). RESULTS: Essential workers had more precarious employment and economic conditions than non-essential workers: 67% had variable income; 30% did not have paid sick leave; 42% had lost income due to COVID-19, and 15% were food insecure. The adoption of protective behaviors was high in the sample: 77% of participants avoided leaving home, and 93% increased hand hygiene. Consistent with the HBM, COVID-19 knowledge scores and perceived threat were positively associated with engaging in all protective behaviors. However, after controlling for these, essential workers were 60% and 70% less likely than non-essential workers, who by the nature of their jobs cannot stay at home, to stay at home and increase hand hygiene, respectively. Similarly, participants who could not afford to quarantine were 50% less likely to avoid leaving home (AOR: 0.5; 95% CI: 0.4, 0.6) than those who could, whereas there were no significant differences concerning hand hygiene. CONCLUSIONS: Our findings are consistent with the accumulating evidence that the employment conditions of essential workers and other low-income earners are precarious, that they have experienced disproportionately higher rates of income loss during the initial phase of the COVID-19 pandemic and face significant barriers to adopting protective measures. Our findings underscore the importance and need of policy responses focusing on expanding social protection and benefits to prevent the further deepening of existing health disparities in the US.

What predicts people's belief in COVID-19 misinformation? A retrospective study using a nationwide online survey among adults residing in the United States.

BACKGROUND: Tackling infodemics with flooding misinformation is key to managing the COVID-19 pandemic. Yet only a few studies have attempted to understand the characteristics of the people who believe in misinformation. METHODS: Data was used from an online survey that was administered in April 2020 to 6518 English-speaking adult participants in the United States. We created binary variables to represent four misinformation categories related to COVID-19: general COVID-19-related, vaccine/anti-vaccine, COVID-19 as an act of bioterrorism, and mode of transmission. Using binary logistic regression and the LASSO regularization, we then identified the important predictors of belief in each type of misinformation. Nested vector bootstrapping approach was used to estimate the standard error of the LASSO coefficients. RESULTS: About 30% of our sample reported believing in at least one type of COVID-19-related misinformation. Belief in one type of misinformation was not strongly associated with belief in other types. We also identified 58 demographic and socioeconomic factors that predicted people's susceptibility to at least one type of COVID-19 misinformation. Different groups, characterized by distinct sets of predictors, were susceptible to different types of misinformation. There were 25 predictors for general COVID-19 misinformation, 42 for COVID-19 vaccine, 36 for COVID-19 as an act of bioterrorism, and 27 for mode of COVID-transmission. CONCLUSION: Our findings confirm the existence of groups with unique characteristics that believe in different types of COVID-19 misinformation. Findings are readily applicable by policymakers to inform careful targeting of misinformation mitigation strategies.

Help seeking and mental health outcomes among South Asian young adult survivors of sexual violence in the New York State Region.

BACKGROUND: Sexual violence is a growing issue faced across diverse South Asian American communities under the backdrop of a distinct religious and cultural environment that intersects with the ability to prevent and manage this public health crisis. There is also growing attention on sexual violence experienced by younger or second-generation South Asian Americans, although little is known on the prevalence of this violence and its impact on health outcomes. Using data from a community-driven sexual violence survey, this study describes the experience of sexual violence and related help seeking behaviors and mental health outcomes among 18-34-year-old South Asian Americans living near the New York (NY) State region. METHODS: Participants were recruited via social media to participate in an anonymous survey developed in partnership with an advisory board of South Asian young adult representatives. Data was analyzed descriptively and through adjusted logistic regression models. RESULTS: Overall, responses from 335 sexual assault survivors were analyzed. Types of assault experienced included no-contact (97.6%), contact (75.2%), rape attempts (50.2%), rape (44.6%), and multiple rape (19.6%). Many reported perpetrators were South Asian (65.1%) or family members (25.1%). Only 27.6% indicated they had reported assaults to authorities or received services. In adjusted analyses, odds of help seeking were higher among participants who were older (AOR:1.10, 95%CI:1.02-1.20), were a sexual minority (lesbian, gay, bisexual) (1.98, 1.05-3.71), had a family member as the perpetrator (1.85, 1.01-3.40), had lower disclosure stigma (1.66, 1.16-2.44), and experienced depression (2.16, 1.10-4.47). Odds of depression were higher among sexual minority participants and lower among those with higher sexual assault disclosure stigma (3.27, 1.61-7.16; 0.68, 0.50-0.93). CONCLUSIONS: Findings call for greater targeted policy interventions to address the prevention of sexual violence among young South Asian Americans and greater focus on improving help seeking behaviors and improving mental health outcomes among survivors.

Assessing changes in the food retail environment during the COVID-19 pandemic: opportunities, challenges, and lessons learned.

BACKGROUND: COVID-19 mitigation strategies have had an untold effect on food retail stores and restaurants. Early evidence from New York City (NYC) indicated that these strategies, among decreased travel from China and increased fears of viral transmission and xenophobia, were leading to mass closures of businesses in Manhattan's Chinatown. The constantly evolving COVID -19 crisis has caused research design and methodology to fundamentally shift, requiring adaptable strategies to address emerging and existing public health problems such as food security that may result from closures of food outlets. OBJECTIVE: We describe innovative approaches used to evaluate changes to the food retail environment amidst the constraints of the pandemic in an urban center heavily burdened by COVID-19. Included are challenges faced, lessons learned and future opportunities. METHODS: First, we identified six diverse neighborhoods in NYC: two lower-resourced, two higher-resourced, and two Chinese ethnic enclaves. We then developed a census of food outlets in these six neighborhoods using state and local licensing databases. To ascertain the status (open vs. closed) of outlets pre-pandemic, we employed a manual web-scraping technique. We used a similar method to determine the status of outlets during the pandemic. Two independent online sources were required to confirm the status of outlets. If two sources could not confirm the status, we conducted phone call checks and/or in-person visits. RESULTS: The final baseline database included 2585 food outlets across six neighborhoods. Ascertaining the status of food outlets was more difficult in lower-resourced neighborhoods and Chinese ethnic enclaves compared to higher-resourced areas. Higher-resourced neighborhoods required fewer phone call and in-person checks for both restaurants and food retailers than other neighborhoods. CONCLUSIONS: Our multi-step data collection approach maximized safety and efficiency while minimizing cost and resources. Challenges in remote data collection varied by neighborhood and may reflect the different resources or social capital of the communities; understanding neighborhood-specific constraints prior to data collection may streamline the process.

The influence of routine and leisure family activities on the ability of young Asian Americans to maintain a healthy lifestyle: findings from a nationwide survey.

Family is uniquely influential in the health of young Asian Americans (AAs), yet little is known on the impact of specific shared family activities. This study explores different types and frequencies of AA young adult shared family activities on perceived familial influence on the ability to maintain a healthy lifestyle (diet, physical activity, sleep, social relationships, stress, and risky substances). A nationwide sample of 18-35-year-old AAs was surveyed in March 2021 on a list of 30 shared family activities with mothers, fathers, siblings, or extended family. Overall, 984 unique family relationships reported by 616 young AAs were analyzed. Confirmatory factor analysis synthesized a reliable two-factor (routine, leisure activities) 10-item Shared Activities with Family (SAF) scale. Mothers were most influential (mean 3.25, SD = 1.14), although shared activities among South Asians or with extended family were most associated with changes in perceived influence. Routine shared activities were more strongly associated with perceived influence on sleep, diet, and risky substances, while leisure shared activities were more associated with influence on developing healthy social relationships. Family-based, dyadic interventions for young AAs may incorporate shared activities (both routine and leisure) to promote healthy behaviors, although further research to explore mechanisms and directionality of influence is needed to inform action.

Disentangling the roles of generational status and acculturation on dietary behaviors in disaggregated Asian American subgroups.

INTRODUCTION: Little is known on the independent effects of generational status and acculturation on the consumption of specific foods among disaggregated Asian American (AA) populations. This study explores the associations of generational status and acculturation with dietary behaviors of a nationwide non-probability sample of 3018 AAs (57.6% East Asian American (EAA), 18.9% South Asian American (SAA), 19.4% Southeast Asian American (SEAA)). METHODS: Recruited participants completed an online dietary survey designed and adapted for AAs to assess a range of diet and food purchasing behaviors. Generational status was assessed through participant and parental country of birth (1st-Gen, 2nd-Gen, 3rd-Gen); the Marin Short Acculturation Scale was adapted to measure acculturation. Linear regression models assessed the association of generational status and acculturation with consumption of 11 food/nutrient groups, adjusted for socio-economic variables. RESULTS: Compared to estimated US averages, participants reported lower fruit, dairy, and seafood intake yet lower red and processed meat, and higher whole grain, calcium, and fiber intake. Compared to EAA, SAA reported higher dairy (1.72 vs. 1.46 cups/day) and calcium (1029 vs. 954 mg/day) intakes, while SEAA reported lower vegetable intake (1.66 vs. 1.78 cups/day). In adjusted analyses, processed meat intake was higher among 2nd-Gen and 3rd-Gen vs.1st-Gen (+0.029 times/day; +0.061 times/day) participants. Higher acculturation was associated with lower vegetable, fiber, and seafood intake (-0.005 cups/day; -0.02 g/day; -0.002 times/day). CONCLUSION: Greater attention to the role of generational status and acculturation in AA dietary behaviors is needed, and findings call for further research to understand the mechanisms behind the dietary influence of different socialization and acculturative processes.

A click too far from fresh foods: A mixed methods comparison of online and in-store grocery behaviors among low-income households.

A recent policy in the U.S. authorized monthly benefits from a nutrition assistance program - Supplemental Nutrition Assistance Program (SNAP) - to be used online to increase grocery access and promote healthy eating. This study examined online grocery attitudes and purchasing behaviors among low-income SNAP-eligible households with young children with and without online grocery experience. An explanatory sequential mixed methods design was used, including a survey informed by the theory of planned behavior (TPB) and focus groups conducted between November-March 2021. In the quantitative phase, 310 Maryland residents completed an online survey assessing TPB constructs (attitudes, social norms, perceived control), and food purchase frequency online and in-store. Subsequently, 42 participated in the qualitative phase. Differences in TPB constructs and food purchases were compared between families with and without online grocery experience. Online food selection and fees were a common obstacle to online grocery purchasing. Families who had purchased groceries online (57%) had more positive attitudes and perceived fewer barriers to online shopping than those who had not. Self-reported frequency of buying fresh produce (OR = 0.34, p < 0.001), meat and seafood (OR = 0.29, p < 0.001), and sweets (OR = 0.54, p = 0.005) were lower online than in-store. Families discussed mistrust of online hired shoppers and fewer impulse purchases online as reasons for less frequent purchases of produce and sweets, respectively. Successful scale-up of the U.S. policy must address barriers to healthier purchasing behaviors to effectively promote equitable food access, such as decreasing delivery fees and improving the online food selection.

Development of an Integrated Approach to Virtual Mind-Mapping: Methodology and Applied Experiences to Enhance Qualitative Health Research.

There is a growing need to better capture comprehensive, nuanced, and multi-faceted qualitative data while also better engaging with participants in data collection, especially in virtual environments. This study describes the development of a novel 3-step approach to virtual mind-mapping that involves (1) ranked free-listing, (2) respondent-driven mind-mapping, and (3) interviewing to enhance both data collection and analysis of complex health behaviors. The method was employed in 32 virtual interviews as part of a study on eating behaviors among second-generation South Asian Americans. Participants noted the mind-mapping experience to be (1) helpful for visual learners, (2) helpful in elucidating new ideas and to structure thoughts, as well as (3) novel and interesting. They also noted some suggestions that included improving interpretability of visual data and avoiding repetition of certain discussion points. Data collection revealed the adaptability of the method, and the power of mind-maps to guide targeted, comprehensive discussions with participants.

Peer-Led, Remote Intervention to Improve Mental Health Outcomes Using a Holistic, Spirituality-Based Approach: Results from a Pilot Study.

In the United States, Black communities face a complex mental health burden, with growing attention on addressing these disparities through the lens of holistic wellbeing. Given the dearth of research on faith-based interventions focused on mental health through the lens of holistic wellbeing, this study evaluates the impact of a spirituality-based, peer-led one-group pre-test post-test pilot intervention in a sample of Black individuals in the Bronx, New York City. The eight-session creating healthy culture curriculum, focused on improving mental health and spiritual wellbeing, was collaboratively developed through community partnerships. Post-intervention results indicated significantly reduced odds of moderate to severe depression (AOR:0.20), and increased sense of community, social support, role of religion in health, flourishing, and reduced trouble sleeping. In-depth interviews with participants further highlighted the interconnected role between psychosocial and mental health indicators. Findings support importance of holistically developing, implementing, and evaluating spirituality-based mental health interventions in Black communities.

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.

Implementing Hypertension Management Interventions in Immigrant Communities in the U.S.: a Narrative Review of Recent Developments and Suggestions for Programmatic Efforts.

PURPOSE OF REVIEW: To outline intervention efforts focused on reducing hypertension disparities in immigrant communities in the U.S. and to identify areas in the design, implementation, and evaluation of these interventions that warrant further exploration guided by an implementation science framework. RECENT FINDINGS: Studies examined (n = 11) included immigrant populations of African, Hispanic, and Asian origin. Men were underrepresented in most studies. Culturally tailored group-based educational sessions in religious or community spaces were common. Intervention agents included research assistants, registered nurses, community health workers, and faith-based organization volunteers. Community stakeholders were engaged in most studies, although most commonly for recruitment efforts. Surveys/interviews were used for intervention evaluation, and documentation of intervention activities and trainings was used to assess fidelity. Identified pathways for further intervention innovation included gender or migration-status-based targeting, diversifying intervention agents, enhancing mixed-method process evaluations, and tailoring to emerging needs during the COVID-19 pandemic.