Sleep and Diet in Urban Pregnant African American Women

ABSTRACT Objective: Sleep disturbances during pregnancy are associated with gestational diabetes and excessive weight gain. Diet could potentially play a role in these relationships, yet examinations of sleep and diet in African American pregnant populations are scarce. Methods: The study population includes pregnant African American women from Detroit, MI (n=53). At the baseline study visit during late pregnancy, women were surveyed about typical bed and wake times, as well as usual food intake via a dietary screener. Sleep measures examined included time in bed and sleep midpoint (median of going to bed and wake time). Composite dietary measures included estimated fruit and vegetable (FV), dairy, and added sugar intake. Linear regression models were used to evaluate associations between sleep and dietary measures, adjusting for potential confounders. Results: On average, women with shorter time in bed (\u3c8 hours compared to ≥8 hours) had one cup/day higher intake of fruits and vegetables (95% CI 0.10 to 1.83), driven by the individual items tomato sauce, salsa, and fruit juice. Delayed sleep timing (a midpoint\u3e2:45 AM compared to midpoint≤2:45 AM) was associated with 0.78 cup/day lower fruit and vegetable intake (95% CI -1.67 to 0.12), mostly driven by whole fruit and vegetables (e.g. string beans, peas, corn rather than salad or cooked dried beans). Later midpoint was also associated with lower dairy intake (0.41 fewer servings/day; 95% CI -0.78 to -0.04), particularly milk. Shorter time in bed was associated with higher pastry intake, and delayed sleep timing was associated with lower pastry intake. Conclusions: Sleep characteristics were uniquely associated with diet in pregnant women

The Psychological Science Accelerator: Advancing Psychology Through a Distributed Collaborative Network

Source at https://doi.org/10.1177/2515245918797607.Concerns about the veracity of psychological research have been growing. Many findings in psychological science are based on studies with insufficient statistical power and nonrepresentative samples, or may otherwise be limited to specific, ungeneralizable settings or populations. Crowdsourced research, a type of large-scale collaboration in which one or more research projects are conducted across multiple lab sites, offers a pragmatic solution to these and other current methodological challenges. The Psychological Science Accelerator (PSA) is a distributed network of laboratories designed to enable and support crowdsourced research projects. These projects can focus on novel research questions or replicate prior research in large, diverse samples. The PSA’s mission is to accelerate the accumulation of reliable and generalizable evidence in psychological science. Here, we describe the background, structure, principles, procedures, benefits, and challenges of the PSA. In contrast to other crowdsourced research networks, the PSA is ongoing (as opposed to time limited), efficient (in that structures and principles are reused for different projects), decentralized, diverse (in both subjects and researchers), and inclusive (of proposals, contributions, and other relevant input from anyone inside or outside the network). The PSA and other approaches to crowdsourced psychological science will advance understanding of mental processes and behaviors by enabling rigorous research and systematic examination of its generalizability

Happiness around the world: A combined etic-emic approach across 63 countries.

What does it mean to be happy? The vast majority of cross-cultural studies on happiness have employed a Western-origin, or "WEIRD" measure of happiness that conceptualizes it as a self-centered (or "independent"), high-arousal emotion. However, research from Eastern cultures, particularly Japan, conceptualizes happiness as including an interpersonal aspect emphasizing harmony and connectedness to others. Following a combined emic-etic approach (Cheung, van de Vijver & Leong, 2011), we assessed the cross-cultural applicability of a measure of independent happiness developed in the US (Subjective Happiness Scale; Lyubomirsky & Lepper, 1999) and a measure of interdependent happiness developed in Japan (Interdependent Happiness Scale; Hitokoto & Uchida, 2015), with data from 63 countries representing 7 sociocultural regions. Results indicate that the schema of independent happiness was more coherent in more WEIRD countries. In contrast, the coherence of interdependent happiness was unrelated to a country's "WEIRD-ness." Reliabilities of both happiness measures were lowest in African and Middle Eastern countries, suggesting these two conceptualizations of happiness may not be globally comprehensive. Overall, while the two measures had many similar correlates and properties, the self-focused concept of independent happiness is "WEIRD-er" than interdependent happiness, suggesting cross-cultural researchers should attend to both conceptualizations

To which world regions does the valence–dominance model of social perception apply?

Over the past 10 years, Oosterhof and Todorov’s valence–dominance model has emerged as the most prominent account of how people evaluate faces on social dimensions. In this model, two dimensions (valence and dominance) underpin social judgements of faces. Because this model has primarily been developed and tested in Western regions, it is unclear whether these findings apply to other regions. We addressed this question by replicating Oosterhof and Todorov’s methodology across 11 world regions, 41 countries and 11,570 participants. When we used Oosterhof and Todorov’s original analysis strategy, the valence–dominance model generalized across regions. When we used an alternative methodology to allow for correlated dimensions, we observed much less generalization. Collectively, these results suggest that, while the valence–dominance model generalizes very well across regions when dimensions are forced to be orthogonal, regional differences are revealed when we use different extraction methods and correlate and rotate the dimension reduction solution.C.L. was supported by the Vienna Science and Technology Fund (WWTF VRG13-007); L.M.D. was supported by ERC 647910 (KINSHIP); D.I.B. and N.I. received funding from CONICET, Argentina; L.K., F.K. and Á. Putz were supported by the European Social Fund (EFOP-3.6.1.-16-2016-00004; ‘Comprehensive Development for Implementing Smart Specialization Strategies at the University of Pécs’). K.U. and E. Vergauwe were supported by a grant from the Swiss National Science Foundation (PZ00P1_154911 to E. Vergauwe). T.G. is supported by the Social Sciences and Humanities Research Council of Canada (SSHRC). M.A.V. was supported by grants 2016-T1/SOC-1395 (Comunidad de Madrid) and PSI2017-85159-P (AEI/FEDER UE). K.B. was supported by a grant from the National Science Centre, Poland (number 2015/19/D/HS6/00641). J. Bonick and J.W.L. were supported by the Joep Lange Institute. G.B. was supported by the Slovak Research and Development Agency (APVV-17-0418). H.I.J. and E.S. were supported by a French National Research Agency ‘Investissements d’Avenir’ programme grant (ANR-15-IDEX-02). T.D.G. was supported by an Australian Government Research Training Program Scholarship. The Raipur Group is thankful to: (1) the University Grants Commission, New Delhi, India for the research grants received through its SAP-DRS (Phase-III) scheme sanctioned to the School of Studies in Life Science; and (2) the Center for Translational Chronobiology at the School of Studies in Life Science, PRSU, Raipur, India for providing logistical support. K. Ask was supported by a small grant from the Department of Psychology, University of Gothenburg. Y.Q. was supported by grants from the Beijing Natural Science Foundation (5184035) and CAS Key Laboratory of Behavioral Science, Institute of Psychology. N.A.C. was supported by the National Science Foundation Graduate Research Fellowship (R010138018). We acknowledge the following research assistants: J. Muriithi and J. Ngugi (United States International University Africa); E. Adamo, D. Cafaro, V. Ciambrone, F. Dolce and E. Tolomeo (Magna Græcia University of Catanzaro); E. De Stefano (University of Padova); S. A. Escobar Abadia (University of Lincoln); L. E. Grimstad (Norwegian School of Economics (NHH)); L. C. Zamora (Franklin and Marshall College); R. E. Liang and R. C. Lo (Universiti Tunku Abdul Rahman); A. Short and L. Allen (Massey University, New Zealand), A. Ateş, E. Güneş and S. Can Özdemir (Boğaziçi University); I. Pedersen and T. Roos (Åbo Akademi University); N. Paetz (Escuela de Comunicación Mónica Herrera); J. Green (University of Gothenburg); M. Krainz (University of Vienna, Austria); and B. Todorova (University of Vienna, Austria). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.https://www.nature.com/nathumbehav/am2023BiochemistryGeneticsMicrobiology and Plant Patholog

To which world regions does the valence–dominance model of social perception apply?

Over the past 10 years, Oosterhof and Todorov’s valence–dominance model has emerged as the most prominent account of how people evaluate faces on social dimensions. In this model, two dimensions (valence and dominance) underpin social judgements of faces. Because this model has primarily been developed and tested in Western regions, it is unclear whether these findings apply to other regions. We addressed this question by replicating Oosterhof and Todorov’s methodology across 11 world regions, 41 countries and 11,570 participants. When we used Oosterhof and Todorov’s original analysis strategy, the valence–dominance model generalized across regions. When we used an alternative methodology to allow for correlated dimensions, we observed much less generalization. Collectively, these results suggest that, while the valence–dominance model generalizes very well across regions when dimensions are forced to be orthogonal, regional differences are revealed when we use different extraction methods and correlate and rotate the dimension reduction solution

A multi-country test of brief reappraisal interventions on emotions during the COVID-19 pandemic.

The COVID-19 pandemic has increased negative emotions and decreased positive emotions globally. Left unchecked, these emotional changes might have a wide array of adverse impacts. To reduce negative emotions and increase positive emotions, we tested the effectiveness of reappraisal, an emotion-regulation strategy that modifies how one thinks about a situation. Participants from 87 countries and regions (n = 21,644) were randomly assigned to one of two brief reappraisal interventions (reconstrual or repurposing) or one of two control conditions (active or passive). Results revealed that both reappraisal interventions (vesus both control conditions) consistently reduced negative emotions and increased positive emotions across different measures. Reconstrual and repurposing interventions had similar effects. Importantly, planned exploratory analyses indicated that reappraisal interventions did not reduce intentions to practice preventive health behaviours. The findings demonstrate the viability of creating scalable, low-cost interventions for use around the world

Evaluating Person-Environment Fit in Cross-Cultural Contexts

People are acutely aware when they do not fit in or match well with others around them. The field of person-environment fit has sought to assess the positive benefits accrued to people who are more similar to their environment, often defined as the average characteristics of those around them. The purpose of the present study is to assess person-environment fit effects on psychological well-being in a cross-cultural context. This study uses measures of personality traits and cultural values assessed in 63 countries as part of the International Situations Project. Results were conducted using polynomial regression and plotted using Response Surface Analysis (RSA). Greater person-environment fit for almost all personality traits and values tested was associated with greater happiness for individuals across cultural contexts. However, the strongest predictors of happiness overall were from person effects, specifically personality traits, rather than environmental effects or person-environment fit effects. Additionally, the positive benefits for person-environment fit were typically only accrued for individuals already high on a particular trait or value in the socially desirable direction, suggesting the benefits of fitting in with a particular cultural group cannot outweigh the effects of socially desirable traits. Future work should focus on individual differences less strongly related to happiness and with less universal social desirability to further parse apart the potential benefits of person-environment fit

Evaluating Person-Environment Fit in Cross-Cultural Contexts

People are acutely aware when they do not fit in or match well with others around them. The field of person-environment fit has sought to assess the positive benefits accrued to people who are more similar to their environment, often defined as the average characteristics of those around them. The purpose of the present study is to assess person-environment fit effects on psychological well-being in a cross-cultural context. This study uses measures of personality traits and cultural values assessed in 63 countries as part of the International Situations Project. Results were conducted using polynomial regression and plotted using Response Surface Analysis (RSA). Greater person-environment fit for almost all personality traits and values tested was associated with greater happiness for individuals across cultural contexts. However, the strongest predictors of happiness overall were from person effects, specifically personality traits, rather than environmental effects or person-environment fit effects. Additionally, the positive benefits for person-environment fit were typically only accrued for individuals already high on a particular trait or value in the socially desirable direction, suggesting the benefits of fitting in with a particular cultural group cannot outweigh the effects of socially desirable traits. Future work should focus on individual differences less strongly related to happiness and with less universal social desirability to further parse apart the potential benefits of person-environment fit

What happy people do: The behavioral correlates of happiness in everyday situations

Gardiner G, Sauerberger K, Lee D, Funder D. What happy people do: The behavioral correlates of happiness in everyday situations. Journal of Research in Personality . 2022;99: 104236.Happier individuals have a greater tendency to experience positive affect in their day-to-day lives. The present study uses a multi-method approach to assess the observable behaviors correlated with happiness in two video-recorded, experimental social contexts resembling everyday situations: an interview about oneself and a conversation with strangers. The patterns of observed behaviors associated with happiness were highly similar between the two situations. Happier people smiled, acted playful and behaved cheerfully, while unhappy people expressed criticism, displayed guilt, or acted irritated. The behaviors of happier individuals not only reflect their greater positive affect in everyday situations but also highlights what might make them more enjoyable to be around