The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota.

The aim of the study was to develop and evaluate a novel dietary index for gut microbiota (DI-GM) that captures dietary composition related to gut microbiota profiles. We conducted a literature review of longitudinal studies on the association of diet with gut microbiota in adult populations and extracted those dietary components with evidence of beneficial or unfavorable effects. Dietary recall data from the National Health and Nutrition Examination Survey (NHANES, 2005-2010, n = 3812) were used to compute the DI-GM, and associations with biomarkers of gut microbiota diversity (urinary enterodiol and enterolactone) were examined using linear regression. From a review of 106 articles, 14 foods or nutrients were identified as components of the DI-GM, including fermented dairy, chickpeas, soybean, whole grains, fiber, cranberries, avocados, broccoli, coffee, and green tea as beneficial components, and red meat, processed meat, refined grains, and high-fat diet (≥40% of energy from fat) as unfavorable components. Each component was scored 0 or 1 based on sex-specific median intakes, and scores were summed to develop the overall DI-GM score. In the NHANES, DI-GM scores ranged from 0-13 with a mean of 4.8 (SE = 0.04). Positive associations between DI-GM and urinary enterodiol and enterolactone were observed. The association of the novel DI-GM with markers of gut microbiota diversity demonstrates the potential utility of this index for gut health-related studies.

Effectiveness of the Eggs Make Kids demand-creation campaign at improving household availability of eggs and egg consumption by young children in Nigeria: A quasi-experimental study.

Using a quasi-experimental design, our study aimed to determine the effectiveness of the 'Eggs Make Kids Sharp & Bright and Strong & Active' demand-creation campaign in Nigeria. The intervention arm received emotionally compelling radio and television advertisements about eggs, and was exposed to promotional activities and advertising about eggs at points of purchase, schools and health facilities; the comparison arm received no intervention. Children 6-59 months of age (intervention: n = 1359; comparison: n = 1485) were assessed 14 months apart. Intent-to-treat analyses with analysis of covariance method assessed the impact of the intervention on caregivers' behaviour towards eggs, caregivers' willingness to pay for eggs, availability of eggs in households, and consumption of eggs by children 6-59 months of age. Analyses were adjusted for possible confounders and perceived effects of COVID-19 on finances and food consumption. Compared to the comparison arm, the intervention arm showed a greater prevalence of household egg acquisition (odds ratio = 1.34, p < 0.0001), and larger improvements in caregiver self-efficacy (ß = 0.242, p = 0.004) and intent to feed eggs to children (ß = 0.080, p = 0.021). No effects were found on children's egg consumption or caregivers' reported willingness to pay for eggs. The lack of impact on child egg consumption despite increased acquisition of eggs and caregiver self-efficacy suggests that other barriers to child consumption may exist. Additional research should further investigate factors that may influence intrahousehold distribution of eggs and whether these may also influence other nutritious foods.

Health behavior and anxiety changes during the COVID-19 pandemic among students, faculty, and staff at a US university.

OBJECTIVE: To investigate change in health behaviors and anxiety one year after the onset of the COVID-19 pandemic. PARTICIPANTS: University students (n = 525) and faculty/staff (n = 136) surveyed in February-April 2021. METHODS: Cross-sectional survey on health behaviors and anxiety before and during the pandemic. Comparison by time and between groups using paired t-tests and chi-square tests. RESULTS: Diet quality of students did not differ comparing before to during the pandemic while diet quality improved among faculty/staff (p = 0.001). Physical activity decreased among students (p < 0.0001). Sedentary time and prevalence of symptomatic anxiety increased among both students and faculty/staff (all p < 0.05). Unhealthy changes in lifestyle and anxiety were more pronounced among those who reported a less healthy diet or weight gain during the pandemic. CONCLUSIONS: Negative impacts of the COVID-19 pandemic on physical activity, sedentary time, and anxiety have persisted approximately one year after the onset of the COVID-19 pandemic in a university population.

Strengthening causal inference from randomised controlled trials of complex interventions.

Researchers conducting randomised controlled trials (RCTs) of complex interventions face design and analytical challenges that are not fully addressed in existing guidelines. Further guidance is needed to help ensure that these trials of complex interventions are conducted to the highest scientific standards while maximising the evidence that can be extracted from each trial. The key challenge is how to manage the multiplicity of outcomes required for the trial while minimising false positive and false negative findings. To address this challenge, we formulate three principles to conduct RCTs: (1) outcomes chosen should be driven by the intent and programme theory of the intervention and should thus be linked to testable hypotheses; (2) outcomes should be adequately powered and (3) researchers must be explicit and fully transparent about all outcomes and hypotheses before the trial is started and when the results are reported. Multiplicity in trials of complex interventions should be managed through careful planning and interpretation rather than through post hoc analytical adjustment. For trials of complex interventions, the distinction between primary and secondary outcomes as defined in current guidelines does not adequately protect against false positive and negative findings. Primary outcomes should be defined as outcomes that are relevant based on the intervention intent and programme theory, declared (ie, registered), and adequately powered. The possibility of confirmatory causal inference is limited to these outcomes. All other outcomes (either undeclared and/or inadequately powered) are secondary and inference relative to these outcomes will be exploratory.

Determinants of egg consumption by infants and young children in Ethiopia.

OBJECTIVE: To identify determinants of egg consumption in infants and young children aged 6-23·9 months in Ethiopia. DESIGN AND SETTING: Data used were from the cross-sectional baseline survey of an egg campaign in Ethiopia implemented by the Global Alliance for Improved Nutrition. PARTICIPANTS: Children aged 6-23·9 months (n 453) were sampled. Data on socio-demographic characteristics, economic resources, caregiver's behaviour, child health and feeding practices, and egg consumption in the last 7 d were collected using interviewer-administered questionnaires. Multivariable ordinal logistic regression was used to examine the association between explanatory variables and egg consumption in the last 7 d. RESULTS: About half of children (53·4 %) did not consume eggs in the last 7 d. The odds of children consuming eggs were 4·33 (P < 0·002) times higher when their caregivers had some college education compared with no education. Wealth was positively (OR, 1·13, P = 0·029) and household food insecurity was negatively (OR, 0·96, P = 0·117) associated with child egg consumption. Purchasing eggs (OR, 9·73, P < 0·001) and caregiver's positive behavioural determinants (OR, 1·37, P = 0·005) were associated with child egg consumption. The associations of socio-demographic characteristics and economic resources with egg consumption provide evidence of partial mediation through caregiver behaviour and child health. CONCLUSIONS: About half of children aged 6-23·9 months consumed eggs. Availability of eggs in households, mainly through purchase, was strongly associated with egg consumption. Education of caregivers and household heads and economic resources were associated with egg consumption and may operate through caregiver behaviour.

Longitudinal Associations Between Symptoms of ADHD and BMI From Late Childhood to Early Adulthood.

BACKGROUND AND OBJECTIVES: Attention-deficit/hyperactivity disorder (ADHD) and obesity are 2 frequent conditions that co-occur, which has implications for the management of both conditions. We hypothesized that ADHD symptoms predict BMI and vice versa from late childhood (10-12 years) up to early adulthood (20-22 years). METHODS: Participants were adolescents in the Netherlands (n = 2773, 52.5% male, mean age = 11 years at baseline, 5 waves up to mean age 22) from the Tracking Adolescents' Individual Lives Survey cohort. We examined bidirectional relationship between ADHD symptoms (hyperactivity/impulsivity and inattention) and BMI using the random intercept cross-lagged panel model. Time-varying covariates were pubertal status, stimulant use, depressive symptoms, and family functioning, and socioeconomic status was a time-invariant covariate. RESULTS: We found a time-invariant association of BMI with hyperactivity and impulsivity, but not with inattention, which was slightly stronger in female adolescents (female: r = 0.102; male: r = 0.086, P < .05). No longitudinal direct effects were found between ADHD symptoms and BMI during this period. CONCLUSIONS: Over the course of adolescence, the link between ADHD and BMI is stable and is predominantly with hyperactive and impulsive symptoms rather than inattention. There was no direct effect of ADHD symptoms on BMI increase nor of BMI on enhanced ADHD symptoms during this developmental period. The findings point to a shared genetic or familial background and/or potential causal effects established already earlier in childhood, thus suggesting that intervention and prevention programs targeting overweight and obesity in children with ADHD should be implemented in early childhood.

Time-Varying Insomnia Symptoms and Incidence of Cognitive Impairment and Dementia among Older US Adults.

There is conflicting evidence regarding the association between insomnia and the onset of mild cognitive impairment (MCI) or dementia. This study aimed to evaluate if time-varying insomnia is associated with the development of MCI and dementia. Data from the Health and Retirement Study (n = 13,833) from 2002 to 2014 were used (59.4% female). The Brief Insomnia Questionnaire was used to identify insomnia symptoms which were compiled in an insomnia severity index, ranging from 0 to 4. In analysis, participants' symptoms could vary from wave-to-wave. Dementia was defined using results from the Health and Retirement Study (HRS) global cognitive assessment tool. Respondents were classified as either having dementia, MCI, or being cognitively healthy. Cox proportional hazards models with time-dependent exposure using the counting process (start-stop time) were used for analysis. For each one-unit increase in the insomnia symptom index, there was a 5-percent greater hazard of MCI (HR = 1.05; 95% CI: 1.04-1.06) and dementia (HR = 1.05; 95% CI: 1.03-1.05), after fully adjusting. Using a nationally representative sample of adults age 51 and older, this study found that time-varying insomnia symptoms are associated with risk of MCI and dementia. This highlights the importance of identifying sleep disturbances and their change over time as potentially important risk factors for MCI and dementia.

Associations between dietary inflammatory index and sleep problems among adults in the United States, NHANES 2005-2016.

OBJECTIVES: To examine the associations between Dietary Inflammatory Index (DII) scores and sleep measures of sleep duration and self-reported sleep disturbance. DESIGN: Cross-sectional study. SETTING: The United States. PARTICIPANTS: Participants from the 2005-2016 National Health and Nutrition Examination Survey (NHANES) who were 20 years old or older (n = 30,121). MEASUREMENTS: Sleep duration, classified as short (≤6 hours), long (≥9 hours) and recommended (6-9 hours) duration, and the presence of self-reported sleep disturbance were the outcome variables. The energy-adjusted DII (E-DII) was computed based on the dietary intake data using a single-day 24-hour dietary recall. Multinomial logistic regression was used to examine the associations. RESULTS: After adjusting for confounders, participants in the highest quintile (most proinflammatory E-DII) had a 40% increase in the odds of short sleep duration compared to the lowest quintile (most anti-inflammatory E-DII)(ORquintile5vs1 = 1.40 [95% confidence interval {CI}, 1.21, 1.61]). The odds of short sleep duration was increased by 26% in quintile 4 compared to quintile 1 (OR quintile4vs1 = 1.26 [95% CI, 1.10, 1.43]). Similarly, the odds of long sleep duration was increased in higher E-DII quintiles (ORquintile5vs1 = 1.23 [95% CI, 1.03, 1.46] and ORquintile4vs1 = 1.24 [95% CI, 1.03, 1.49]). Participants in the highest E-DII quintile also were more likely to report sleep disturbances (ORquintile5vs1 = 1.14 [95% CI, 1.02, 1.27]). CONCLUSIONS: Adults consuming proinflammatory diets were more likely to have short sleep duration, long sleep duration, and/or self-reported sleep disturbances. Future, especially longitudinal, studies need to examine the impact of anti-inflammatory diets in mitigating extreme sleep durations and sleep disturbances.