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Probiotic coadministration with soy beverages has been shown to have favorable results in human health. This study aims to conduct a systematic review of randomized clinical trials to examine the effect of probiotic soy beverages (PSB) on human health aspects such as lipid profile, oxidative stress and kidney function.

The study was conducted based on Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Relevant articles were extracted from PubMed, SCOPUS, Web of Science, Science Direct and Google Scholar up to April 2024. This paper searched all databases using the following keywords: (“Soy milk” OR “Soy beverage” OR “Fermented soy milk” OR “Soy Fermented Beverages”) AND (“Probiotic” OR “Probiotics”). The literature search did not consider language, age and publication date restrictions.

A total of 2,183 subjects were included in this review. PSB beneficially decreased low-density lipoprotein cholesterol and total cholesterol levels and increased high-density lipoprotein cholesterol. PSB beneficially affected superoxide dismutase, glutathione peroxidase, glutathione reductase and glutathione. PSB decreased serum creatinine and increased estimated glomerular filtration rate. Cystatin-C and progranulin decreased significantly in the PSB group. PSB had no significant effect on anthropometric indices, while decreased systolic and diastolic blood pressure.

This study provides a brief overview of the effect of PSB on lipid profile, oxidative stress, inflammation and kidney function for the first time.

The purpose of this study was to create and validate a food safety survey for older adults.

The survey was designed to measure food handling and consumption behaviors related to high-risk foods. Survey questions were also designed to capture behavioral constructs from the health belief model (HBM). The first administration of the survey was completed by 349 participants, 55 years of age and older. Exploratory factor analysis was used to assess construct validity, and Cronbach’s alpha was used to assess the internal consistency of the subscales generated through factor analysis. Two weeks after the first administration, the survey was completed a second time by 149 participants from the original sample. The intraclass correlation coefficient was used to evaluate test-retest reliability.

Exploratory factor analysis yielded four factors related to the HBM (perceived susceptibility, perceived severity, perceived barriers and cues to action) and three factors related to food handling practices (handling of processed meats, food thermometer use with poultry and washing or rinsing poultry). Inclusion in a factor meant that the related questions measured the same underlying construct. Cronbach’s alpha for these factors ranged from 0.63 to 0.77. Modification of the survey following validation resulted in the development of a 44-question instrument that can be used with older adults.

This survey will next be administered to a representative sample of older adults to assess relationships between HBM constructs and food handling behaviors and is available for use by other researchers.

There are few validated tools that can be used with older adults to evaluate food safety risks.