Nutrition-focused group intervention with a strength-based counseling approach for people with clinical depression: a study protocol for the Food for Mind randomized controlled trial

Background Depression is a highly prevalent mental disorder with major public health effects globally. It impairs the quality of life and reduces the ability to work and function, leading to increasing costs of sick leaves and disability pensions. Current treatment strategies focus on biological and psychological pathways while understating the role of lifestyle factors. Epidemiological studies have shown convincing evidence of an inverse relationship between diet quality and depression. However, only limited data are available on the therapeutic effects of diet quality improvement on depression. Using a randomized controlled trial design, our primary aim is to investigate the effectiveness and cost-effectiveness of a behavioral nutrition group intervention compared to a social support intervention in the treatment of depression. Methods Participants (N=144, aged 20–65 years) with a diagnosis of moderate or severe depression recruited in collaboration with outpatient care units will be randomized into two arms: Food for Mind (FM) nutrition intervention (n=72) or Bring Good Mood (BGM) social support control group (n=72). Both arms will be provided with 6 group sessions over an 8-week period. FM involves improving diet quality by applying strength-based behavioral nutrition counseling and activities facilitated by a registered dietitian. The control arm comprises a befriending protocol. During the interventions, all participants will continue their treatment for depression as usual. Longitudinal data are collected at baseline, at 8 weeks, and at 6- and 12-month follow-ups. Depressive symptoms, diet quality, eating behavior, ability to work and function, and quality of life are assessed by self-reported questionnaires. A treatment expectancy questionnaire will be administered at baseline and an acceptability questionnaire at 8 weeks. The Center for Epidemiologic Studies Depression Scale is used as the primary endpoint at 1 year. The results will be analyzed with linear mixed-effects models. Economic evaluation includes both cost-effectiveness and cost-utility analysis. Two incremental cost-effectiveness ratios will be calculated to evaluate the incremental cost per QALY and the incremental cost per improvement in CES-D. Discussion If the intervention proves to be cost-effective and acceptable, it be can be implemented in healthcare to support the treatment of depression. Trial registration ClinicalTrials.gov NCT03904771. Retrospectively registered on 5 April 2019

Personalized Behavioral Nutrition Intervention in Older Asian Americans with Type 2 Diabetes during COVID-19 Pandemic: Study Protocol for a Pilot, Hybrid, Randomized Controlled Trial (Preprint)

BACKGROUND The COVID-19 pandemic has challenged the in-person-based self-management approach (i.e., face-to-face or group approach) of type 2 diabetes (T2D). Older adults with T2D, including Asian Americans (AAs), have experienced worsening of diabetes control due to various reasons, including uncertainty of continuous access to essential diabetes medications, devices, education, limited health literacy, as well as constant anxiety and stress. Hybrid clinical trials that incorporate virtual elements into the in-person-based study could provide these vulnerable populations with accessible and timely interventions OBJECTIVE The primary aims of this pilot study are to determine (1) the effect of personalized behavioral nutrition (PBN) intervention on glycemic control, weight control, and metabolites profiles; and (2) the acceptability of PBN. to enhance glycemic control using personalized behavioral nutrition. METHODS Participants will be recruited with a web-based registry, advertisements in ethnic newspapers, and social network services popular among AAs. A total of 60 AAs, aged 65 years or older, who are descendants of Chinese, Korean, or South Asian, and have a diagnosis of T2D will be randomized into two groups: a PBN group (n=30) and a control group (n=30). A 4-week PBN intervention comprises three components: 1) digital self-monitoring; 2) personal nutrition change goals and recommendations; and 3) diabetes nutrition educations. All participants will complete digital self-monitoring on diet, physical activity, and blood glucose. In addition, all participants will access an interactive digital platform to track their self-monitoring data and communicate with the research team. The effectiveness and acceptability of implementing the intervention will be assessed. RESULTS Funding support and institutional review board approval for this study have been secured. Data collection started in August 2020 and is ongoing. CONCLUSIONS To our knowledge, this is the first study to determine the effectiveness and acceptability of PBN utilizing a metabolomics approach and digital-assisted intervention with hybrid RCT among older AAs. The findings of this pilot study will inform the development of a full-scale PBN protocol and hybrid clinical trials that can be adapted for people with T2D in the ongoing pandemic.

Epidemiology and determinant factors of neural tube defect: Narrative review

Background: The epidemiology of neural tube defect (NTD) is face ignorance from the global community. However, the problem is complex and it is a cause for child mortality and morbidity. We provide the latest insights with respect to determinant factors of NTD. Methods: Google Scholar and PubMed were systematically searched to identify potential research articles concerning the epidemiology and its determinant factors of NTD. Results: The epidemiology of Neural tube defects increased in some countries. The epidemiology and determinant factors were varies across countries,geographical regions and socioeconomic status of the populations. In general, the determinant factors of NTD were summarized as behavioral, nutrition-related, environmental, medical illness, and health service-related factors. Conclusion: Birth defect is fatal which affects the new generation; specifically, NTD is the problem of middle- and low-income countries. It is a direct cause for neonatal and perinatal mortality rate globally. Even if little factors identified, yet conducting experimental and clinical trial researches are a better approach to slow down the progress.

Assessing Dietary Outcomes in Intervention Studies: Pitfalls, Strategies, and Research Needs

To inform strategies to improve the dietary intakes of populations, robust evaluations of interventions are required. This paper is drawn from a workshop held at the International Society of Behavioral Nutrition and Physical Activity 2017 Annual Meeting, and highlights considerations and research priorities relevant to measuring dietary outcomes within intervention studies. Self-reported dietary data are typically relied upon in such studies, and it is recognized that these data are affected by random and systematic error. Additionally, differential error between intervention and comparison groups or pre- and post-intervention can be elicited by the intervention itself, for example, by creating greater awareness of eating or drinking occasions or the desire to appear compliant. Differential reporting can render the results of trials incorrect or inconclusive by leading to biased estimates and reduced statistical power. The development of strategies to address intervention-related biases requires developing a better understanding of the situations and population groups in which interventions are likely to elicit differential reporting and the extent of the bias. Also needed are efforts to expand the feasibility and applications of biomarkers to address intervention-related biases. In the meantime, researchers are encouraged to consider the potential for differential biases in dietary reporting in a given study, to choose tools carefully and take steps to minimize and/or measure factors such as social desirability biases that might contribute to differential reporting, and to consider the implications of differential reporting for study results.