Demographic, spatial and temporal dietary intake patterns among 526 774 23andMe research participants

Linking the relationship between dietary folic acid intake and risk of osteoporosis among middle-aged and older people: A nationwide population-based study

Among middle-aged and older people, balanced and nutritious diets are the foundation for maintaining bone health and preventing osteoporosis. This study is aimed at investigating the link between dietary folic acid intake and the risk of osteoporosis among middle-aged and older people. A total of 20,686 people from the National Health and Nutritional Examination Survey (NHANES) 2007-2010 are screened and included, and 5312 people aged ≥45 years with integral data are ultimately enrolled in evaluation. Demographics and dietary intake-related data are gathered and analyzed, and the odds ratio (OR) and 95% confidence interval (CI) of each tertile category of dietary folic acid intake and each unit increase in folic acid are assessed via multivariate logistic regression models. On this basis, the receiver operating characteristic (ROC) curve is used to identify the optimal cutoff value of dietary folic acid intake for indicating the risk of osteoporosis. Of 5312 people with a mean age of 62.4 ± 11.0 years old, a total of 513 people with osteoporosis are screened, and the dietary folic acid intake amount of the osteoporosis group is significantly lower than that of the non-osteoporosis group (p < .001). The lowest tertile category is then used to act as a reference category, and a higher dietary folic acid intake amount is observed to be positively related to lower odds for risk of osteoporosis. This trend is also not changed in adjustments for combinations of different covariates (p all < .05). Based on this, a dietary folic acid intake of 475.5 μg/day is identified as an optimal cutoff value for revealing osteoporosis. Collectively, this nationwide population-based study reveals that a higher daily dietary folic acid intake has potential protective effects on osteoporosis in middle-aged and older people.

Consumer Knowledge about Dietary Relevance of Fruits and Vegetables: A Study Involving Participants from Portugal and France

Fruits and vegetables are recommended as low-calorie foods that contribute to the proper intake of necessary micronutrients, macronutrients, and bioactive compounds with health benefits. However, the recommendations for the dietary intake of these foods fail to be attained in most European countries. For this reason, promoting more knowledge about the health effects of fruits and vegetables is essential to decrease the incidence of chronic diseases. This study was conducted to investigate the knowledge of the health benefits of fruits and vegetables among the population of Portugal and France. The present work involved a questionnaire survey of 639 participants (257 from Portugal and 382 from France). The results revealed that most participants were young females (68.9%) with good education (76%) and an average weight range. They consumed a varied diet (57%) but had body dissatisfaction (63.2%). The respondents had good knowledge about the health effects of fruits and vegetables. However, the French population knew more about the theme than the Portuguese. Portuguese individuals were more likely to have incomplete information. Gender and education significantly influenced knowledge levels, with females and highly educated individuals demonstrating greater understanding. Dissatisfaction with body weight drives individuals to seek nutrition information. This investigation enhances our comprehension of the factors that affect knowledge of vegetable and fruit consumption among young adults in Portugal and France. Moreover, it highlights the importance of implementing focused educational programs to enhance nutrition literacy, particularly for less-aware demographic groups. Going forward, a more in-depth analysis of these factors could assist in creating more efficient strategies to encourage healthier dietary habits and improve nutrition literacy among these communities.

Determinants of Consumption of Vegetables among the Spanish Population: A Cross-Sectional Study

The consumption of vegetables is one of the fundamentals of a healthy diet. The purposes of the present study were to describe the frequency of consumption of vegetables in the general Spanish population and to explore the relations between the consumption of vegetables and sex, age, cohabitation circumstances, educational level, and body mass index (BMI).

METHODS

An analytical cross-sectional study was accomplished based on data from the European Health Survey in Spain (2020).

RESULTS

A total of 20,745 (52.1% women) subjects with a median age of 54 years old were included. Only 2.8% of them ate vegetables at least three times a day. The adjusted generalized linear model showed that being a woman increased the odds of consuming vegetables at least three times a day by 1.666 times (p < 0.001). Not cohabiting as a couple decreased the odds by 0.783 (p < 0.001). Having studied at a university increased the odds by 1.812 times (p < 0.001) and possessing a certificate of higher education by 1.408 (p = 0.030). Being overweight decreased the odds by 0.924 (p = 0.006). For every additional year of age, the odds of consuming vegetables at least three times a day increased by 1.3% (p < 0.001).

CONCLUSIONS

The vast majority of the general Spanish population did not consume an optimal amount of vegetables. Women, people with higher levels of education, and older individuals reported having a more frequent intake of vegetables. Not cohabiting as a couple and being overweight were related to a less frequent intake of vegetables.

Whole Person Modeling: a transdisciplinary approach to mental health research

The growing global burden of mental illness has prompted calls for innovative research strategies. Theoretical models of mental health include complex contributions of biological, psychosocial, experiential, and other environmental influences. Accordingly, neuropsychiatric research has self-organized into largely isolated disciplines working to decode each individual contribution. However, research directly modeling objective biological measurements in combination with cognitive, psychological, demographic, or other environmental measurements is only now beginning to proliferate. This review aims to (1) to describe the landscape of modern mental health research and current movement towards integrative study, (2) to provide a concrete framework for quantitative integrative research, which we call Whole Person Modeling, (3) to explore existing and emerging techniques and methods used in Whole Person Modeling, and (4) to discuss our observations about the scarcity, potential value, and untested aspects of highly transdisciplinary research in general. Whole Person Modeling studies have the potential to provide a better understanding of multilevel phenomena, deliver more accurate diagnostic and prognostic tests to aid in clinical decision making, and test long standing theoretical models of mental illness. Some current barriers to progress include challenges with interdisciplinary communication and collaboration, systemic cultural barriers to transdisciplinary career paths, technical challenges in model specification, bias, and data harmonization, and gaps in transdisciplinary educational programs. We hope to ease anxiety in the field surrounding the often mysterious and intimidating world of transdisciplinary, data-driven mental health research and provide a useful orientation for students or highly specialized researchers who are new to this area.

A lifespan perspective of structural and perceived social relationships, food insecurity, and dietary behaviors during the COVID-19 pandemic

Physical distancing and economic impacts of the COVID-19 pandemic may influence dietary behaviors. Using a parallel mixed method design, we examined the relationships between structural and perceived social relationships on dietary behaviors across the adult lifespan and by food security status. A representative sample of 360 adults (18-78 years old) living in the United States were recruited through Prolific Academic to complete an online cross-sectional survey. Participants provided data about demographics, food insecurity, structural and perceived social relationships, diet quality, and unhealthy snacking at the onset of the pandemic. Participants responded to open-ended questions about perceived changes in social connections and dietary behavior since COVID-19. Quantitative findings indicated food insecure emerging and older adults were at highest risk for low diet quality and frequent unhealthy snacking. Friend support was associated with higher diet quality. Qualitative findings suggested overall decreases in social connection and changes in dietary behavior, with food insecure adults describing decreases in diet quality. Participants who reported increases in emotional eating also reported decreases in social connection. Findings suggest the pandemic may exacerbate inequalities, particularly among food insecure emerging and older adults. Scaling up preventive interventions to increase social connection and reduce food insecurity during unprecedented challenges may promote healthier dietary behaviors now and in the long-term.

Health and kinship matter: Learning about direct-to-consumer genetic testing user experiences via online discussions

Background

Millions of people have undergone direct-to-consumer genetic testing (DTC-GT), but little is known about individuals' motivations and experiences (e.g., discussion topics and emotions after obtaining the test results) in engaging with DTC-GT services. Previous studies either involved only a small number of DTC-GT consumers or were based on hypothetical scenarios.

Objective

Our study aimed to fill this gap by investigating online discussions about DTC-GT that developed naturally among tens of thousands of social media users.

Methods

We focused on the posts that were published in the r/23andme and r/AncestryDNA subreddits, which correspond to the two companies with the largest number of consumers in the DTC-GT market. We applied computational methods to infer and examine the topics discussed, temporal trends in posting rates and themes (e.g., aggregation of related topics), and emotions expressed in these online forums.

Results

We collected 157,000 posts published by 16,500 Reddit users between 2013 and 2019. We found that the posting rates increased sharply after popular promotional events (e.g., each Amazon Prime Day and Black Friday) and most posts were inquiries into, or status updates about, testing progress. The inferred themes of Ancestral Origin and Kinship/Feelings were the two most frequently discussed, while discussions about the Health Risks theme focused primarily on submitting DTC-GT raw data to third parties for interpretation. The Kinship/Feelings theme exhibited the largest range of emotional response. A qualitative review of the posts with extreme emotions showed that some people became excited because they found their biological parents or other kin, while others became upset because they unexpectedly found that their parents or other kin were not biologically related to them.

Conclusion

This research demonstrates that online social media platforms can serve as a rich resource for characterizing actual DTC-GT experiences. The findings suggest that DTC-GT consumers' purchasing behaviors are associated with societal events and that future investigations should consider how DTC-GT challenges our understanding of kinship structure and function, genomic privacy, and the interpretation of health risks.