Estimating marginal treatment effect in cluster randomized trials with multi-level missing outcomes.

Analyses of cluster randomized trials (CRTs) can be complicated by informative missing outcome data. Methods such as inverse probability weighted generalized estimating equations have been proposed to account for informative missingness by weighing the observed individual outcome data in each cluster. These existing methods have focused on settings where missingness occurs at the individual level and each cluster has partially or fully observed individual outcomes.

Temporal trends of food consumption patterns in Tuvalu under the context of climate change: COMmunity-based Behavior and Attitude survey in Tuvalu (COMBAT) since 2020.

Aim: The aim of this study was to analyze temporal trends of food consumption patterns, attitudes, and health-related knowledge in Tuvalu, a small Pacific Island country facing the triple threat of obesity, climate change, and food insecurity.

Methods: Two waves of the COMmunity-based Behavior and Attitude (COMBAT) survey were conducted in 2020 and 2022. Descriptive characteristics of changes in obesity proportion, food intake, and sociodemographic factors were assessed.

Higher Imported Food Patterns Are Associated with Obesity and Severe Obesity in Tuvalu: A Latent Class Analysis.

Background: Tuvalu is a Pacific Island country within the small island developing states that has observed a significant and alarming increase in obesity rates over the past 40 years, affecting ∼60 %-70 % of the current population.

Objectives: This study aimed to investigate the association between food patterns and the proportion of obesity in a Pacific Island country.

Methods: The 2022 COMmunity-based Behavior and Attitude survey in Tuvalu (COMBAT) included 985 adults with complete data on sociodemographic information and the frequency of consumption of 25 common foods.

Exploring the link between home garden use and severe obesity: Insights from a nationwide survey in Tuvalu.

Background: Obesity is prevalent and increasing but understudied across Pacific Islanders. Tuvalu is a South Pacific country with a high obesity rate and faces multiple threats of food insecurity. Home garden serves as a sustainable food source and can be a possible intervention for the obesity pandemic in Tuvalu.

Effect of a Nutrition Intervention on Mediterranean Diet Adherence Among Firefighters: A Cluster Randomized Clinical Trial.

Importance: US firefighters are a working population at risk of chronic diseases, including obesity, cardiovascular disease, and cancer. This risk may be mitigated by a healthy diet.

Objective: To evaluate the effect of a Mediterranean nutrition intervention using a behavioral/environmental approach (firefighter/fire station/home) at the individual participant level.

Covariate adjustment in randomized clinical trials with missing covariate and outcome data.

When analyzing data from randomized clinical trials, covariate adjustment can be used to account for chance imbalance in baseline covariates and to increase precision of the treatment effect estimate. A practical barrier to covariate adjustment is the presence of missing data. In this article, in the light of recent theoretical advancement, we first review several covariate adjustment methods with incomplete covariate data.