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Both schools and caregivers play an important role in supporting children's mental health, but there are few mechanisms for caregivers and school-based mental health providers to work collaboratively to address children's needs. Closures of schools during the first wave of the COVID-19 pandemic left gaps in mental health support services to children and increased the burden on caregivers to ensure their children's well-being. In this study, investigators explored the feasibility and acceptability of a motivational interviewing-based program in which school-based mental health providers were trained to connect directly to caregivers to assist them in supporting key aspects of their children's well-being, including sleep, coping, and academic behavior. Results indicated a high degree of satisfaction with the program and a perception that it was helpful to caregivers and children. However, major challenges in recruitment of providers, as well as qualitative interviews with those providers who participated, indicated that the feasibility of implementing such a program is limited without significant additional implementation infrastructure. Findings suggest that structured support of caregivers, accessed through their children's schools, has high potential for improving child outcomes and family well-being. Future research should explore what implementation infrastructure is needed for schools to effectively offer these types of supports.

Summary: Objective: To prospectively evaluate the relationship between cumulative environmental stress and cardiometabolic risk in middle childhood, and to examine whether hair cortisol, a measure of hypothalamic pituitary adrenal‐axis activity, mediates this relationship. Methods: In a cohort of children from low‐income households (n = 320; 59% Hispanic, 23% Black, body mass index (BMI) percentile >50th at enrollment), environmental stressors including family and neighbourhood factors representing disadvantage/deprivation, and cortisol concentrations from hair samples, were measured over five timepoints beginning when children were 2–4 years old. Cardiometabolic risk factors (i.e., BMI, blood pressure, lipids, blood sugar, C‐reactive protein) were measured at the final timepoint when children were 7–11 years of age. Results: In adjusted logistic regression models, greater cumulative environmental stress was associated with a higher likelihood of elevated cardiometabolic risk in middle childhood (p = 0.01). Children from minoritized racial/ethnic groups had a higher prevalence of both stressors and cardiometabolic risk factors. Cumulative environmental stress was associated with higher hair cortisol concentrations (p < 0.01). However, hair cortisol was not directly associated with cardiometabolic risk factors and did not explain the association between environmental stress and cardiometabolic risk in causal mediation analysis. Conclusions: The influence of cumulative stress on cardiometabolic health can be observed in middle childhood and may contribute to cardiometabolic health disparities, highlighting the importance of public health interventions to mitigate disadvantage. [ABSTRACT FROM AUTHOR]

This cross-sectional analysis of the Minnesota Now Everybody Together for Amazing Healthful Kids (NET-Works) study evaluated whether SNAP participation was associated with specific parental feeding styles and child eating behaviors. Associations between parent-reported feeding styles and child eating behaviors and SNAP participation were examined using multiple linear regression analyses and responses from 534 parent/child dyads (49.1% female children, 91.7% female parents). SNAP participation was not associated with specific feeding styles or child eating behaviors when adjusting for food insecurity, timing in SNAP cycle, and other covariates in this large, ethnically and racially diverse sample of predominantly mothers and preschool-aged children. Other factors, such as food insecurity, not SNAP participation, may influence parental feeding and child eating behaviors, and screening by health care providers is recommended. [ABSTRACT FROM AUTHOR]

Summary: Background and Objectives: The NET‐Works trial (2012–2018) randomized 534 children ages 2–4 years at baseline and their caregivers to either a 3‐year multicomponent obesity prevention intervention or a control group. This research examined treatment effects on body mass index and other outcomes at 66 months. Methods: Parent–child dyads (n = 338) who agreed to participate in a 66 month measurement visit were measured for child BMI, physical activity, diet, and cardiometabolic risk factor variables. Results: At 66 months, no significant treatment effects were observed on BMI (Effect = −0.38; 95% CI = −1.13, 0.37). Subgroup results were consistent with the NET‐Works 36 month results. Children with overweight at baseline in the intervention group gained significantly less BMI versus children with overweight in the control group (Effect = −1.28; 95% CI = −2.48, −0.07). Among Hispanic children, those in the intervention gained significantly less BMI than those in the control group (Effect = −1.04; 95% CI = −1.97, −0.11). Conclusions: Evidence suggests that early intervention with children at highest risk for obesity, using community‐based, multicomponent, multisetting interventions, may be effective in reducing excess weight gain and obesity among certain subgroups of children. The intervention appeared to be effective in slowing BMI gain 66 months after randomization among children who were already overweight at ages 2–4 years and among children of Hispanic ethnicity. [ABSTRACT FROM AUTHOR]

Economic hardship during childhood has been linked to poor physical and mental health. This study examines cross‐sectional and longitudinal associations of a summed economic hardship score of poverty, food insecurity, and financial hardship with hair cortisol in young children. Data from 24‐month (Time 1, mean age 5 years) and 36‐month (Time 2, mean age 6 years) follow‐up from the NET‐Works obesity prevention trial (NET‐Works, NCT0166891) were used. Hair cortisol measures obtained at each time point were log‐transformed and regressed on economic hardship at Time 1 and a cumulative economic hardship from Time 1 to Time 2, using generalized linear regressions. All models were adjusted for child age, sex, race/ethnicity, and intervention (prevention vs. control) arm. The final analytic sample sizes ranged from 248 to 287. Longitudinal analyses indicated that for every 1‐unit higher economic hardship score at Time 1, hair cortisol at Time 2 follow‐up was on average 0.07 log‐picograms per milligram (pg/mg) higher (95% confidence interval [CI]: 0.01, 0.13). For every 1‐unit increase in the cumulative economic hardship score between Time 1 and 2, there was a 0.04 log‐pg/mg (95% CI: 0.00, 0.07) average higher level of hair cortisol at Time 2 follow‐up. Results show suggestive but limited evidence for an association between economic hardship and cortisol in young children. [ABSTRACT FROM AUTHOR]

Objectives: This study examines motivations for yoga and identifies unique motivational profiles among a sample of young adult yoga practitioners. This study further determines how young adult yoga practitioners' motivational profiles associate with physical health behaviors and psychological factors. Subjects/Setting: Survey data were drawn from the fourth wave of a large, population-based study (Project EAT-IV; Eating and Activity in Teens and Young Adults). Design: Latent class analysis (LCA) was used to identify motivational profiles among Project EAT-IV participants practicing yoga (n = 297; mean age: 30.8--1.7 years; 79.7% female). Cross-sectional associations between latent motivational profiles, physical health behaviors, and psychological factors were determined with unadjusted and adjusted (gender, race/ethnicity, and body mass index) general linear models. Results: Across motivational profiles, most young adult yoga practitioners were motivated by enhanced fitness and stress reduction/relaxation. Additional motivations for yoga clustered by appearance (desire to change body appearance or weight) or mindfulness (desire to increase present moment awareness) underpinnings. The LCA characterized motivational profiles as ''Low Appearance, Low Mindfulness'' (Class 1; n = 77), ''Low Appearance, High Mindfulness'' (Class 2; n = 48), ''High Appearance, Low Mindfulness'' (Class 3; n = 79), and ''High Appearance, High Mindfulness'' (Class 4; n = 93). Having a profile with high mindfulness and low appearance motivations (Class 2) was associated with higher body satisfaction in comparison to the other classes (p < 0.001). Relative to Class 2, those with low mindfulness motivations (Class 1; Class 3) reported less total physical activity (p = 0.002) and those with high appearance motivations (Class 3; Class 4) reported higher compulsive exercise scores (p = 0.002). Conclusions: In this sample, high mindfulness and low appearance motivations for yoga appeared optimal for physical and psychological health. Cross-sectional findings suggest that young adult yoga practitioners' mindbody health may be supported by motivational underpinnings that emphasize yoga's internal (mindfulness) rather than external (appearance) benefits. [ABSTRACT FROM AUTHOR]

Objectives: The current study aimed to identify features to include in online grocery stores to support healthful food purchasing by those striving to lose weight.Design: A Value Proposition Design approach was used to gain shopper insights, devise potential online grocery store features and obtain feedback on these features.Setting: Telephone interviews were conducted to gain insight into shoppers' needs and perceptions. Results were used by the research team to identify potential online grocery shopping features that may support healthful purchase decisions, and interviews were conducted with a different sample of shoppers to gather feedback on features.Participants: Insight (n 25) and feedback (n 25) interviews were conducted with convenience samples of adults trying to lose weight.Results: Participants were primarily female, white, college educated and with obesity or overweight. Online grocery features devised by the research team based on findings from the insight interviews included (1) shopping cart nutrition rating tool; (2) healthy meal planning tool; (3) interactive healthy eating inspiration aisle and (4) healthy shopping preference settings option. Findings from the feedback interviews indicated that the healthy meal planning tool, healthy shopping preference settings option and shopping cart nutrition rating tool features were positively rated by most participants.Conclusions: There are multiple features grocers should consider including in their online stores to attract and support customers striving to eat healthy for weight loss. [ABSTRACT FROM AUTHOR]

Background: State-of-the-art behavioral weight loss treatment (SBT) can lead to clinically meaningful weight loss, but only 30-60% achieve this goal. Developing adaptive interventions that change based on individual progress could increase the number of people who benefit.Purpose: Conduct a Sequential Multiple Assignment Randomized Trial (SMART) to determine the optimal time to identify SBT suboptimal responders and whether it is better to switch to portion-controlled meals (PCM) or acceptance-based treatment (ABT).Method: The BestFIT trial enrolled 468 adults with obesity who started SBT and were randomized to treatment response assessment at Session 3 (Early TRA) or 7 (Late TRA). Suboptimal responders were re-randomized to PCM or ABT. Responders continued SBT. Primary outcomes were weight change at 6 and 18 months.Results: PCM participants lost more weight at 6 months (-18.4 lbs, 95% CI -20.5, -16.2) than ABT participants (-15.7 lbs, 95% CI: -18.0, -13.4), but this difference was not statistically significant (-2.7 lbs, 95% CI: -5.8, 0.5, p = .09). PCM and ABT participant 18 month weight loss did not differ. Early and Late TRA participants had similar weight losses (p = .96), however, Early TRA PCM participants lost more weight than Late TRA PCM participants (p = .03).Conclusions: Results suggest adaptive intervention sequences that warrant further research (e.g., identify suboptimal responders at Session 3, use PCMs as second-stage treatment). Utilizing the SMART methodology to develop an adaptive weight loss intervention that would outperform gold standard SBT in a randomized controlled trial is an important next step, but may require additional optimization work.Clinical Trial Information: ClinicalTrials.gov identifier; NCT02368002. [ABSTRACT FROM AUTHOR]

Objective: The study aims were to (1) document the relationship between a history of childhood abuse and weight change during behavioral obesity treatment and (2) estimate the indirect effect of childhood abuse on weight change through binge eating severity.Methods: Participants (n = 431) were enrolled in a behavioral weight-loss intervention. Childhood physical and emotional abuse history and current binge eating severity were self-reported. Percent weight loss at 6 months was calculated using measured weight. Adjusted mediation models examined whether there was an indirect effect of childhood physical and emotional abuse on 6-month percent weight loss that operated through binge eating severity.Results: After covariate adjustment, childhood physical abuse, but not emotional abuse, predicted a lower percent weight loss (B = -1.78%; 95% CI: -3.10% to -0.47%). Although childhood physical and emotional abuse were positively related to baseline binge eating severity, binge eating severity did not mediate the associations between either childhood abuse type and percent weight loss.Conclusions: Individuals with a childhood physical abuse history had a lower percent weight loss than those without such histories during behavioral obesity treatment. This effect was not explained by binge eating severity. Individuals with a history of childhood abuse may benefit from trauma-informed obesity care. [ABSTRACT FROM AUTHOR]

Post-COVID-19 condition (also known as long COVID) is an emerging chronic illness potentially affecting millions of people. We aimed to evaluate whether outpatient COVID-19 treatment with metformin, ivermectin, or fluvoxamine soon after SARS-CoV-2 infection could reduce the risk of long COVID. We conducted a decentralised, randomised, quadruple-blind, parallel-group, phase 3 trial (COVID-OUT) at six sites in the USA. We included adults aged 30–85 years with overweight or obesity who had COVID-19 symptoms for fewer than 7 days and a documented SARS-CoV-2 positive PCR or antigen test within 3 days before enrolment. Participants were randomly assigned via 2 × 3 parallel factorial randomisation (1:1:1:1:1:1) to receive metformin plus ivermectin, metformin plus fluvoxamine, metformin plus placebo, ivermectin plus placebo, fluvoxamine plus placebo, or placebo plus placebo. Participants, investigators, care providers, and outcomes assessors were masked to study group assignment. The primary outcome was severe COVID-19 by day 14, and those data have been published previously. Because the trial was delivered remotely nationwide, the a priori primary sample was a modified intention-to-treat sample, meaning that participants who did not receive any dose of study treatment were excluded. Long COVID diagnosis by a medical provider was a prespecified, long-term secondary outcome. This trial is complete and is registered with ClinicalTrials.gov , NCT04510194. Between Dec 30, 2020, and Jan 28, 2022, 6602 people were assessed for eligibility and 1431 were enrolled and randomly assigned. Of 1323 participants who received a dose of study treatment and were included in the modified intention-to-treat population, 1126 consented for long-term follow-up and completed at least one survey after the assessment for long COVID at day 180 (564 received metformin and 562 received matched placebo; a subset of participants in the metformin vs placebo trial were also randomly assigned to receive ivermectin or fluvoxamine). 1074 (95%) of 1126 participants completed at least 9 months of follow-up. 632 (56·1%) of 1126 participants were female and 494 (43·9%) were male; 44 (7·0%) of 632 women were pregnant. The median age was 45 years (IQR 37–54) and median BMI was 29·8 kg/m2 (IQR 27·0–34·2). Overall, 93 (8·3%) of 1126 participants reported receipt of a long COVID diagnosis by day 300. The cumulative incidence of long COVID by day 300 was 6·3% (95% CI 4·2–8·2) in participants who received metformin and 10·4% (7·8–12·9) in those who received identical metformin placebo (hazard ratio [HR] 0·59, 95% CI 0·39–0·89; p=0·012). The metformin beneficial effect was consistent across prespecified subgroups. When metformin was started within 3 days of symptom onset, the HR was 0·37 (95% CI 0·15–0·95). There was no effect on cumulative incidence of long COVID with ivermectin (HR 0·99, 95% CI 0·59–1·64) or fluvoxamine (1·36, 0·78–2·34) compared with placebo. Outpatient treatment with metformin reduced long COVID incidence by about 41%, with an absolute reduction of 4·1%, compared with placebo. Metformin has clinical benefits when used as outpatient treatment for COVID-19 and is globally available, low-cost, and safe. Parsemus Foundation; Rainwater Charitable Foundation; Fast Grants; UnitedHealth Group Foundation; National Institute of Diabetes, Digestive and Kidney Diseases; National Institutes of Health; and National Center for Advancing Translational Sciences. [ABSTRACT FROM AUTHOR]