Positive Affect and Physical Activity Associations in Women and Their Spouses.

BACKGROUND: Only 21% of U.S. women meet the recommended physical activity guidelines, placing them at increased risk for long-term conditions such as heart disease and diabetes. Physical activity is influenced by individual and interpersonal factors (e.g., romantic partners). Individual factors, such as positive affect, are associated with lower mortality risk and improved health behaviors. OBJECTIVES: This secondary data analysis, guided by Fredrickson's Broaden and Build Theory, aims to examine the relationship between positive affect of married women (n = 115 couples) and their physical activity behavior on the same- and next- day, while also considering their spouses' positive affect. METHODS: Two population average models assessed the relationship of calm and happy (positive affect) to physical activity. Physical activity was assessed as the sum of the minutes of moderate-to-vigorous physical activity (MVPA) over the prior 24 hours. Covariates of age, baseline activity frequency, education, marital quality, and race/ethnicity were also included. RESULTS: Women's happiness (ß = 0.15, p < .005), not calmness (ß = -0.03, p = .60), was found to have a significant association with same-day MVPA. Spouses' happiness (ß = 0.11, p = .045) was significantly associated with women's next-day MVPA while their calmness (ß = -0.04, p = .44) was not. CONCLUSIONS: The results of this study support that incorporating positive affect could be valuable for improving physical activity behaviors. Spouse reports provide additional context to consider in physical activity promotion research.

Examining Cultural Comfort and Knowledge in Undergraduate Nursing Students After the Implementation of an Online Educational Animation on Providing Care for Muslim Patients.

INTRODUCTION: With rapidly growing members of the Islamic faith, health care providers should expect to care for Muslim patients regardless of their chosen specialty. The quality of care provided hinges on their knowledge and understanding of Islam. This study aimed to analyze the influence of an educational animation on undergraduate nursing students' cultural comfort and knowledge concerning the health care needs of Muslims. METHODS: An educational animation was created addressing the unique health care needs of Muslim patients. Surveys (pre, post, 6 weeks) (n = 658) assessed cultural comfort and knowledge on covered topics. RESULTS: Student knowledge (pre: 12.4 ± 0.1; post: 14.4 ± 0.2; p < .01) and cultural comfort (pre: 4.0 ± 0.03; post: 4.1 ± 0.03; p < .05) increased after viewing the online educational animation. The increase in knowledge was sustained at 6 weeks. Students recommended additional topics for the future. DISCUSSION: This study highlights how an innovative educational animation can enhance students' understanding of providing care for Muslim patients, positively impacting patient outcomes.

Temporal Dietary Pattern Cluster Membership Varies on Weekdays and Weekends but Both Link to Health.

BACKGROUND: Energy and dietary quality are known to differ between weekdays and weekends. Data-driven approaches that incorporate time, amount, and duration of dietary intake have previously been used to partition participants' daily weekday dietary intake time series into clusters representing weekday temporal dietary patterns (TDPs) linked to health indicators in United States adults. Yet, neither the relationship of weekend day TDPs to health indicators nor how the TDP membership may change from weekday to weekend is known. OBJECTIVES: This study was conducted to determine the association between TDPs on weekdays and weekend days and health indicators [diet quality, waist circumference (WC), body mass index (BMI), and obesity] and their overlap among participants. METHODS: A weekday and weekend day 24-hour dietary recall of 9494 nonpregnant United States adults aged 20-65 years from the cross-sectional National Health and Nutrition Examination Survey 2007-2018 was used to determine the timing and amount of energy intake. Modified dynamic time warping and kernel k-means algorithm clustered participants into 4 TDPs on weekdays and weekend days. Multivariate regression models determined the associations between TDPs and health indicators, controlling for potential confounders and adjusting for the survey design and multiple comparisons. The percentages of overlap in cluster membership between TDPs on weekdays and weekend days were also determined. RESULTS: United States adults with a TDP of evenly spaced, energy-balanced eating occasions, representing the TDP of more than one-third of all adults on weekdays and weekends, had significantly higher diet quality, lower BMI, WC, and odds of obesity when compared to those with other TDPs. Membership of most United States adults to TDPs varied from weekdays to weekends. CONCLUSIONS: Both weekday and weekend TDPs were significantly associated with health indicators. TDP membership of most United States adults was not consistent on weekdays and weekends.

Temporal Patterns of Diet and Physical Activity and of Diet Alone Have More Numerous Relationships With Health and Disease Status Indicators Compared to Temporal Patterns of Physical Activity Alone.

BACKGROUND: Daily temporal patterns of energy intake (temporal dietary patterns [TDPs]) and physical activity (temporal physical activity patterns [TPAPs]) have been independently and jointly (temporal dietary and physical activity patterns [TDPAPs]) associated with health and disease status indicators. OBJECTIVE: The aim of this study was to compare the number and strength of association between clusters of daily TDPs, TPAPs, and TDPAPs and multiple health and disease status indicators. DESIGN: This cross-sectional study used 1 reliable weekday dietary recall and 1 random weekday of accelerometer data to partition to create clusters of participants representing the 3 temporal patterns. Four clusters were created via kernel-k means clustering algorithm of the same constrained dynamic time warping distance computed over the time series for each temporal pattern. PARTICIPANTS/SETTING: From the National Health and Nutrition Examination Survey (2003-2006), 1,836 US adults aged 20 through 65 years who were not pregnant and had valid diet, physical activity, sociodemographic, anthropometric, questionnaire, and health and disease status indicator data were included. MAIN OUTCOME MEASURES: Health status indicators used as outcome measures were body mass index, waist circumference, fasting plasma glucose, hemoglobin A1c, triglycerides, high-density lipoprotein cholesterol, total cholesterol, and systolic and diastolic blood pressure; disease status indicators included obesity, type 2 diabetes mellitus, and metabolic syndrome. STATISTICAL ANALYSES PERFORMED: Multivariate regression models determined associations between the clusters representing each pattern and health and disease status indicators, controlling for confounders and adjusting for multiple comparisons. The number of significant differences among clusters and adjusted R2 and Akaike information criterion compared the strength of associations between clusters of patterns and continuous and categorical health and disease status indicators. RESULTS: TDPAPs showed 21 significant associations with health and disease status indicators, including body mass index, waist circumference, obesity, and type 2 diabetes; TDPs showed 19 significant associations; and TPAPs showed 8 significant associations. CONCLUSIONS: TDPAPs and TDPs had stronger and more numerous associations with health and disease status indicators compared with TPAPs. Patterns representing the integration of daily dietary habits hold promise for early detection of obesity.

Cluster Analysis to Find Temporal Physical Activity Patterns Among US Adults.

Physical activity (PA) is known to be a risk factor for obesity and chronic diseases such as diabetes and metabolic syndrome. Few attempts have been made to pattern the time of physical activity while incorporating intensity and duration in order to determine the relationship of this multi-faceted behavior with health. In this paper, we explore a distance-based approach for clustering daily physical activity time series to estimate temporal physical activity patterns among U.S. adults (ages 20-65) from the National Health and Nutrition Examination Survey 2003-2006 (NHANES). A number of distance measures and distance-based clustering methods were investigated and compared using various metrics. These metrics include the Silhouette and the Dunn Index (internal criteria), and the associations of the clusters with health status indicators (external criteria). Our experiments indicate that using a distance-based cluster analysis approach to estimate temporal physical activity patterns through the day, has the potential to describe the complexity of behavior rather than characterizing physical activity patterns solely by sums or labels of maximum activity levels.

Joint Temporal Patterns By Integrating Diet and Physical Activity.

Both diet and physical activity are associated with obesity and chronic diseases such as diabetes and metabolic syndrome. Early efforts in connecting dietary and physical activity behaviors to generate patterns rarely considered the use of time. In this paper, we propose a distance-based cluster analysis approach to find joint temporal diet and physical activity patterns among U.S. adults ages 20-65. Dynamic Time Warping (DTW) generalized to multi-dimensions is combined with commonly used clustering methods to generate unbiased partitioning of the National Health and Nutrition Examination Survey 2003-2006 (NHANES) dataset. The clustering results are evaluated using visualization of the clusters, the Silhouette Index, and the associations between clusters and health status indicators based on multivariate regression models. Our experiments indicate that the integration of diet, physical activity, and time has the potential to discover joint temporal patterns with association to health.

Health education and promotion of #PhysicalActivity on Twitter before and during COVID-19.

Objective: Twitter, a microblogging service, allows users to post short messages (tweets) and link posts through hashtags, creating online communities to enable dissemination of health education. The objective of this descriptive study was to examine Twitter's #PhysicalActivity health education and promotion efforts, including differences in response before (March 2019-February 2020) and during (March 2020-February 2021) the COVID-19 pandemic. Design setting and methods: A codebook was developed to conduct a quantitative content analysis of #PhysicalActivity tweets before and during the COVID-19 pandemic. Twitter's Advanced Search parameters included minimum 1 reply, 25 likes and 5 retweets. Tweets were double-coded for user characteristics, community response, tweet elements (video, photo, link, questions, events, original text, survey/response, journal article, infographic) and intended audience. T-tests examined differences in researcher-generated NET response (replies + retweets + likes) between COVID-19 and comparison years. Results: Data were collected from 400 tweets. Eighty percent of tweets were from personal accounts, with over half indicating the possession of a health professional degree. Twenty-nine percent of tweets gave behavioural recommendations of which 56.8% provided a rationale. Nearly all used at least two components, text and photos most common. The general public was the most intended audience with health professionals second. While the NET response was greater during COVID-19 (M = 139.6, SD = 156.8) than prior to it (M = 116.8, SD = 105.1), the difference was not statistically significant (p = .091). Conclusion: Twitter platform provided an opportunity to disseminate health education, specifically for the promotion of physical activity, while adhering to public health recommendations to #StaySafeStayHome. Our findings provide insights into engaging this online community to inform future physical education and promotion dissemination.

Co-occurrences of fall-related factors in adults aged 60 to 85 years in the United States National Health and Nutrition Examination Survey.

A broad set of factors are associated with falling (e.g., age, sex, physical activity, vision, health), but their co-occurrence is understudied. Our objectives were to quantify the number and pattern of co-occurring fall-related factors. Data were obtained from the U.S. National Health and Nutrition Examination Survey (N = 1,957, 60-85 years). Twenty fall-related factors were included (based on previous research), covering a wide range including cognitive, motor, sensory, health, and physical activity measures. The number and pattern of co-occurring fall-related factors were quantified with logistic regression and cluster analyses, respectively. Most participants (59%) had ≥4 fall-risk factors, and each additional risk factor increased the odds of reporting difficulty with falling by 1.28. The identified clusters included: (1) healthy, (2) cognitive and sensory impaired, and (3) health impaired. The mean number of co-occurring fall-related factors was 3.7, 3.8, and 7.2, for clusters 1, 2, and 3, respectively (p<0.001). These observations indicate that co-occurrence of multiple fall-risk factors was common in this national sample of U.S. older adults and the factors tended to aggregate into distinct clusters. The findings support the protective effect of physical activity on fall-risk, the association between gait speed and falls, and the detrimental effect of health-related factors on difficulty with falls (e.g., arthritis, prescription medications). Cluster analyses revealed a complex interplay between sex and BMI that may alter the role of BMI in the etiology of falls. Cluster analyses also revealed a large detrimental effect of health-related factors in cluster 3; it is important to extend current fall interventions (typically focused on balance, flexibility, strength, cognitive, fear factors) to include health-related interventions that target factors such as BMI and arthritis.

The Discovery of Data-Driven Temporal Dietary Patterns and a Validation of Their Description Using Energy and Time Cut-Offs.

Data-driven temporal dietary patterning (TDP) methods were previously developed. The objectives were to create data-driven temporal dietary patterns and assess concurrent validity of energy and time cut-offs describing the data-driven TDPs by determining their relationships to BMI and waist circumference (WC). The first day 24-h dietary recall timing and amounts of energy for 17,915 U.S. adults of the National Health and Nutrition Examination Survey 2007−2016 were used to create clusters representing four TDPs using dynamic time warping and the kernel k-means clustering algorithm. Energy and time cut-offs were extracted from visualization of the data-derived TDPs and then applied to the data to find cut-off-derived TDPs. The strength of TDP relationships with BMI and WC were assessed using adjusted multivariate regression and compared. Both methods showed a cluster, representing a TDP with proportionally equivalent average energy consumed during three eating events/day, associated with significantly lower BMI and WC compared to the other three clusters that had one energy intake peak/day at 13:00, 18:00, and 19:00 (all p < 0.0001). Participant clusters of the methods were highly overlapped (>83%) and showed similar relationships with obesity. Data-driven TDP was validated using descriptive cut-offs and hold promise for obesity interventions and translation to dietary guidance.

Is Marital Quality Related to Physical Activity Across the Life Course for Men and Women?

OBJECTIVES: Although physical activity is linked to multiple health outcomes, a majority of Americans do not meet physical activity guidelines, often with precipitous declines among older adults. Marital quality is a less-explored, but important, factor that may influence physical activity, as spouses often influence each other's health behaviors. METHODS: We use nationally representative panel data to investigate whether positive and negative dimensions of marital quality influence physical activity, and whether age and gender moderate these relationships. RESULTS: We find that both marital support and strain are related to higher odds of more frequent active exercise and walking, pointing to the complex influence of marital quality. Marital support became increasingly important to higher levels of walking frequency as men aged. DISCUSSION: This study provides new information on the ways in which both positive and negative dimensions of marital quality may contribute to trajectories of physical activity across the life course.

Optimization of Biocompatibility for a Hydrophilic Biological Molecule Encapsulation System.

Despite considerable advances in recent years, challenges in delivery and storage of biological drugs persist and may delay or prohibit their clinical application. Though nanoparticle-based approaches for small molecule drug encapsulation are mature, encapsulation of proteins remains problematic due to destabilization of the protein. Reverse micelles composed of decylmonoacyl glycerol (10MAG) and lauryldimethylamino-N-oxide (LDAO) in low-viscosity alkanes have been shown to preserve the structure and stability of a wide range of biological macromolecules. Here, we present a first step on developing this system as a future platform for storage and delivery of biological drugs by replacing the non-biocompatible alkane solvent with solvents currently used in small molecule delivery systems. Using a novel screening approach, we performed a comprehensive evaluation of the 10MAG/LDAO system using two preparation methods across seven biocompatible solvents with analysis of toxicity and encapsulation efficiency for each solvent. By using an inexpensive hydrophilic small molecule to test a wide range of conditions, we identify optimal solvent properties for further development. We validate the predictions from this screen with preliminary protein encapsulation tests. The insight provided lays the foundation for further development of this system toward long-term room-temperature storage of biologics or toward water-in-oil-in-water biologic delivery systems.

What Works and for Whom? Outcome Evaluation of an E-mail Walking Program Delivered Through Cooperative Extension.

INTRODUCTION: Get WalkIN' is a 12-week, e-mail-based walking promotion program. The purpose of this study was to (1) compare sociodemographics of participants who enrolled versus completed the program; and (2) evaluate program feasibility/acceptability from perspectives of program participants and county-based Extension Educators who implemented the program. METHODS: Participants (N = 875), recruited by county-based Extension Educators, were asked Likert-scale questions (eg, ease of reading the e-mails and frequency of e-mails) to assess program acceptability and open-ended questions regarding improvements. Educators (N = 55) were asked Likert-scale and open-ended questions regarding program training, recruitment, strengths, and areas for improvement. Descriptive statistics summarized participant characteristics, acceptability, and feasibility data. Open-ended responses were analyzed using thematic analysis. RESULTS: There were no significant sociodemographic differences between participants (N = 875) who started the program and completed the program (n = 438). Participants reported intervention e-mails were easy to read (mean = 4.5 ± 0.7), understand (mean = 4.5 ± 0.7), and encouraged more walking (mean = 4.1 ± 0.9). Participants would like to connect/interact with other participants/Educators, have more monitoring tools for accountability, and more visuals/videos embedded within e-mails. Educators reported program training was adequate, e-mail messages were helpful and easy to use, and requested more visuals (eg, videos) to help with recruitment. Educators thought adding a social component (eg, kick-off walk or walking group) would be helpful. CONCLUSIONS: This Extension-delivered walking program is acceptable to participants and feasible to deliver. However, participants and Educators reported they would like more interaction, even if virtual. Future e-mail-based programs should consider ways to incorporate social interaction among users as well as provide a wide variety of recruitment resources.

Joint temporal dietary and physical activity patterns: associations with health status indicators and chronic diseases.

BACKGROUND: Diet and physical activity (PA) are independent risk factors for obesity and chronic diseases including type 2 diabetes mellitus (T2DM) and metabolic syndrome (MetS). The temporal sequence of these exposures may be used to create patterns with relations to health status indicators. OBJECTIVES: The objectives were to create clusters of joint temporal dietary and PA patterns (JTDPAPs) and to determine their association with health status indicators including BMI, waist circumference (WC), fasting plasma glucose, glycated hemoglobin, triglycerides, HDL cholesterol, total cholesterol, blood pressure, and disease status including obesity, T2DM, and MetS in US adults. METHODS: A 24-h dietary recall and random day of accelerometer data of 1836 participants from the cross-sectional NHANES 2003-2006 data were used to create JTDPAP clusters by constrained dynamic time warping, coupled with a kernel k-means clustering algorithm. Multivariate regression models determined associations between the 4 JTDPAP clusters and health and disease status indicators, controlling for potential confounders and adjusting for multiple comparisons. RESULTS: A JTDPAP cluster with proportionally equivalent energy consumed at 2 main eating occasions reaching ≤1600 and ≤2200 kcal from 11:00 to 13:00 and from 17:00 to 20:00, respectively, and the highest PA counts among 4 clusters from 08:00 to 20:00, was associated with significantly lower BMI (P < 0.0001), WC (P = 0.0001), total cholesterol (P = 0.02), and odds of obesity (OR: 0.2; 95% CI: 0.1, 0.5) than a JTDPAP cluster with proportionally equivalent energy consumed reaching ≤1600 and ≤1800 kcal from 11:00 to 14:00 and from 17:00 to 21:00, respectively, and high PA counts from 09:00 to 12:00. CONCLUSIONS: The joint temporally patterned sequence of diet and PA can be used to cluster individuals with meaningful associations to BMI, WC, total cholesterol, and obesity. Temporal patterns hold promise for future development of lifestyle patterns that integrate additional temporal and contextual activities.

Barriers and Motivators to Physical Activity Prior to Starting a Community-Based Walking Program.

Despite the clear benefits of an active lifestyle, most American adults fail to meet physical activity (PA) guidelines. Because of its safety and ease, walking is a promising population-level strategy to increase PA. There is a need to further understand why adults do and do not participate in walking. This study provides a broader understanding of barriers and motivators of walking prior to starting a walking program. Four years of baseline data from a community-based walking program were analyzed (n = 1491). Descriptive statistics summarized participant characteristics, barriers, reinforcements, and current PA. Chi-square tests were used to assess differences in the barrier and reinforcement responses between participant's PA level and age categories. Open-ended responses were analyzed using thematic analysis. On average, participants were white (96%), middle-aged (52 ± 13 years old) females (92%). Poor weather and time were frequently reported barriers to walking. Open-ended responses (n = 141) identified additional barriers of lack of motivation (n = 37), joint issues (n = 29), fatigue (n = 24), safety or lack of environmental supports (n = 17), family or work demands (n = 15), and lacking a walking partner (n = 9). Good weather, health, and weight loss were frequently reported motivators. Additional motivators (n = 282) identified included stress relief and mental health (n = 82), social time (n = 70), dog care (n = 41), other health benefits (n = 38), connect with nature (n = 19), enjoyment (14), occupation (n = 11), and environmental and community supports (n = 6). Findings highlight the importance of understanding participant barriers and motivators for PA before starting a program. Future research should examine how reported barriers and motivators are related to program completion and adherence. Tailoring community-based programs to address specific barriers and motivators may enable more participants to effectively change and maintain PA.

Temporal physical activity patterns are associated with obesity in U.S. adults.

Few attempts have been made to incorporate multiple aspects of physical activity (PA) to classify patterns linked with health. Temporal PA patterns integrating time and activity counts were created to determine their association with health status. Accelerometry data from the National Health and Nutrition Examination Survey 2003-2006 was used to pattern PA counts and time of activity from 1999 adults with one weekday of activity. Dynamic time warping and kernel k-means clustering partitioned 4 participant clusters representing temporal PA patterns. Multivariate regression models determined associations between clusters and health status indicators and obesity, type 2 diabetes, and metabolic syndrome. Cluster 1 with a temporal PA pattern of the lowest activity counts reaching 4.8e4 cph from 6:00-23:00 was associated with higher body mass index (BMI) (ß = 2.5 ± 0.6 kg/m2, 95% CI: 1.0, 4.1), higher waist circumference (WC) (ß = 6.4 ± 1.3 cm, 95% CI: 2.8, 10.0), and higher odds of obesity (OR: 2.4; 95% CI: 1.3, 4.4) compared with Cluster 3 with activity counts reaching 9.6e4-1.2e5 cph between 16:00-21:00. Cluster 1 was also associated with higher BMI (ß = 1.5 ± 0.5 kg/m2, 95% CI: 0.1, 2.8) and WC (ß = 3.6 ± 1.3 cm, 95% CI: 0.1, 7.0) compared to Cluster 4 with activity counts reaching 9.6e4 cph between 8:00-11:00. A Temporal PA pattern with the lowest PA counts had significantly higher mean BMI and WC compared to temporal PA patterns of higher activity counts performed early (8:00-11:00) or late (16:00-21:00) throughout the day. Temporal PA patterns appear to meaningfully link to health status.

Changes to gait speed when romantic partners walk together: Effect of age and obstructed pathway.

BACKGROUND: Walking at a brisk pace is widely recommended to promote health. When partners walk together, walking activity is increased and maintained due to enhanced social support and accountability, but at least one person must adjust their gait speed. Decreased gait speed could compromise health benefits, which may be especially relevant for the aging population. RESEARCH QUESTION: Do adults change gait speed when walking with their romantic partner, relative to walking alone, and is the change in speed affected by age or pathway conditions? METHODS: Participants were 141 individuals from 72 romantic couples; age range 25-79 years. The three couple conditions were walking alone, walking with their partner, and walking while holding hands with their partner. The two pathway conditions were clear pathway and pathway with obstacles. Gait speed was modeled as a function of the couple conditions, pathway conditions, and covariates (gender, age, relationship duration, and physical activity) using mixed-effects (3-level) regression. RESULTS: In both pathway conditions, both partners reduced speed when walking together (p < 0.001), and reduced speed further while holding hands (p < 0.001), when compared to walking alone. These effects were unchanged when covariates were included in the model. Further, speed was slower on the obstructed pathway for all participants, but the magnitude of slowing was greater with increasing age (p < 0.001) and in females (p=0.03). SIGNIFICANCE: Across the adult lifespan, when walking together, both partners decreased gait speed by a clinically meaningful amount (≥0.05 m/s). While walking with a partner may increase walking activity due to social support, reduced speed when walking together may unintentionally reduce health benefits and gait quality in both partners. Future research should identify how health is impacted by the trade-off between increased walking activity and reduced gait speed when romantic partners walk together.

Influence of Affect on Physical Activity: An Integrative Review.

Affective states, such as feelings of anger and excitement, are linked to health outcomes and behaviors. The benefits of physical activity for individual affect is known; however, how affect influences physical activity participation is less understood. Using Whittemore and Knafl's framework, this integrative review examines the influence of affect on adult physical activity. using six databases, 19 articles published between 1997 and 2019. Themes found include support for the influence of positive affect on increased physical activity, a temporal aspect of affect, a variety of measurement tools, and varying uses of theoretical frameworks across studies. Advanced practice nurses and registered nurses may improve patient health behaviors, such as physical activity, by incorporating affect-focused assessments. Review findings support consideration of affect in physical activity counseling. Further research using theory-driven methods and consistent affect assessments is needed to test the complex relationship between affect and physical activity.

Lifestyle Intervention's Effect and Predictive Value on Weight Loss for University Employees.

Obesity is a costly and pervasive risk factor that requires attention to reduce chronic disease rates. This study evaluated the effect of a lifestyle medicine intervention, Complete Health Improvement Program (CHIP), on reducing weight, blood pressure, lipid levels, and hemoglobin A1c. A secondary aim was to build a preliminary predictive model for computing new participants' potential weight change from CHIP. We evaluated pre- and post-intervention biometric data of 68 individuals who completed a 10-week CHIP intervention at a Midwestern university clinic. Significant reductions (p < 0.05) were observed in weight, diastolic blood pressure, total cholesterol, low-density lipoprotein, and A1c. Regression analyses indicated that the best linear model for predicting change in weight was a one-predictor model with systolic blood pressure. The CHIP intervention effectively promoted weight loss and meaningful reductions in chronic disease risk factors. Larger samples are needed for future regression analyses to create a more robust linear model.

Strategies for embedding population health concepts into nursing education.

Advances in community and public health are needed to address contemporary health needs, particularly poor health outcomes related to the social determinants of health and inequity. Nurses are ideally placed to promote meaningful advances in community and public health, collectively referred to as population health. Nurse educators can promote a deeper understanding of core population health concepts by threading these concepts throughout the academic nursing curricula in addition to standalone population or public health courses. Strategies for incorporating population health concepts in a variety of courses can be conceptualized through the themes emphasizing context, honoring community voices, cultivating community connection, and fostering leadership in social responsibility. Nurse educators with expertise in population health can serve as a resource for faculty as these strategies are implemented. Teaching population health provides exciting opportunities for innovative approaches to facilitate students to link their practice to wider social contexts. Further steps to strengthen the public and community health workforce will still be needed to meet population health needs.

Temporal Dietary Patterns Are Associated with Obesity in US Adults.

BACKGROUND: The integration of time with dietary patterns throughout a day, or temporal dietary patterns (TDPs), have been linked with dietary quality but relations to health are unknown. OBJECTIVE: The association between TDPs and selected health status indicators and obesity, type 2 diabetes (T2D), and metabolic syndrome (MetS) was determined. METHODS: The first-day 24-h dietary recall from 1627 nonpregnant US adult participants aged 20-65 y from the NHANES 2003-2006 was used to determine timing, amount of energy intake, and sequence of eating occasions (EOs). Modified dynamic time warping (MDTW) and kernel k-means algorithm clustered participants into 4 groups representing distinct TDPs. Multivariate regression models determined associations between TDPs and health status, controlling for potential confounders, and adjusting for the survey design and multiple comparisons (P <0.05/6). RESULTS: A cluster representing a TDP with evenly spaced, energy balanced EOs reaching ≤1200 kcal between 06:00 to 10:00, 12:00 to 15:00, and 18:00 to 22:00, had statistically significant and clinically meaningful lower mean BMI (P <0.0001), waist circumference (WC) (P <0.0001), and 75% lower odds of obesity compared with 3 other clusters representing patterns with much higher peaks of energy: 1000-2400 kcal between 15:00 and 18:00 (OR: 5.3; 95% CI: 2.8, 10.1), 800-2400 kcal between 11:00 and 15:00 (OR: 4.4; 95% CI: 2.5, 7.9), and 1000-2600 kcal between 18:00 and 23:00 (OR: 6.7; 95% CI: 3.9, 11.6). CONCLUSIONS: Individuals with a TDP characterized by evenly spaced, energy balanced EOs had significantly lower mean BMI, WC, and odds of obesity compared with the other patterns with higher energy intake peaks at different times throughout the day, providing evidence that incorporating time with other aspects of a dietary pattern may be important to health status.