Nutrition and health challenges among low-income families of young children in the post COVID-19 era: a qualitative study.

Background/objectives: In the United States, one in every 5 children is obese with greater likelihood in low-income households. The coronavirus disease 2019 (COVID-19) pandemic may have accelerated disparities in child obesity risk factors, such as poor dietary intake and increased sedentary behaviors, among low-income families because of financial difficulties, social isolation and other struggles. This study reveals insights into nutrition and health challenges among low-income families of young children in West Texas to better understand needs and develop interventions.

Beef Quality Preferences: Factors Driving Consumer Satisfaction.

The current study was designed to broaden the understanding of the attributes impacting the sensory properties of beef when consumed. Using a survey of consumers from three different geographical regions in the United States (US), we determined the impacts of three attributes on overall satisfaction in several different ways. The two main statistical methods used were an Ordinary Least Squares (OLS) model and the Conditional Logit model.

Evaluating the Impact of Improving Access on Consumption of Fruits and Vegetables in a Rural Community in Texas: A Modeling Study.

Most residents in rural regions of the United States consume fewer amounts of fruits and vegetables (FVs) compared with their urban counterparts. Difficulties in access to FVs often contribute to different consumption patterns in rural regions, aside from a lack of education or motivation for eating healthy foods. This article uses simulation methods to estimate the relationship between increasing food access and FV consumption levels in a targeted rural community.

Comparative analysis of the factors contributing to sustainability of a food and nutrition intervention programme: Two case studies from South Africa.

Sustainability of health interventions is a consistent and ongoing issue in Africa. Understanding key aspects of sustainable interventions provides the necessary methods for success. This research evaluates a nutrition intervention implemented in two peri-urban communities in the Free State and Gauteng province in South Africa (SA) respectively.

Improving Cancer Risk Awareness Including Obesity as a Risk Factor for Cancer in a Small U.S. Community.

Obesity is a risk for certain types of cancer; however, awareness of obesity as a risk factor for cancer is low. This study evaluated increases in cancer risk awareness, including obesity as a risk factor for cancer, from a quasi-experimental intervention that provided educational materials and community reinforcement for healthy living. The study uses data on participant's awareness of cancer risk factors along with sociodemographic variables collected from in-person surveys (N = 863) at baseline (June 2011) and post intervention (June 2012).

Reducing cancer risk in rural communities through supermarket interventions.

Cancer risk is high, and prevention efforts are often minimal in rural communities. Feasible means of encouraging lifestyles that will reduce cancer risk for residents of rural communities are needed. This project developed and tested a model that could be feasibly adopted by rural communities to reduce cancer risk.

Combination aspirin and/or calcium chemoprevention with colonoscopy in colorectal cancer prevention: cost-effectiveness analyses.

Background: Clinical and cohort studies have shown that low-dose aspirin and calcium are effective low-risk strategies for primary prevention of colorectal cancer (CRC). We compared the cost-effectiveness of aspirin and calcium chemoprevention used with colonoscopy for primary prevention of CRCs.

Methods: Markov chain Monte Carlo simulations for a population of 100,000 persons, with a colonoscopy compliance rate of 50%, were used for the analysis.

Determinants of delayed detection of cancers in Texas counties in the United States of America.

Introduction: Previous studies have shown that delayed detection of several cancers is related to socioeconomic deprivation as measured by the Wellbeing Index (WI) in Texas, the United States of America (USA). The current study investigates whether delayed cancer detection is related to lack of health insurance, physician shortage and higher percentages of Hispanics rather than WI per se since these factors are directly related to delayed cancer detection and may confound WI.

Methods: Cancer data and potential determinants of delayed cancer detection are derived from Texas Cancer Registry, Texas State Data Center, and Texas Department of State Health Services and U.

Correlation of the ratio of metastatic to non-metastatic cancer cases with the degree of socioeconomic deprivation among Texas counties.

Background: Previous studies have demonstrated that cancer registrations and hospital discharge rate are closely correlated with census data-based socioeconomic deprivation indices. We hypothesized that communities with higher degrees of socioeconomic deprivation tend to have a higher ratio of metastatic to non-metastatic cancer cases (lung, breast, prostate, female genital system, colorectal cancers or all types of cancers combined). In this study, we investigate the potential link between this ratio and the Wellbeing Index (WI) among Texas counties.