{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["10(1)"],"submitter":["Ramay BM"],"funding":["Paul G. Allen School for Global Animal Health"],"pubmed_abstract":["To examine the effects of poor sanitation and hygiene on the prevalence of antimicrobial-resistant bacteria, we surveyed households in two rural and two urban communities in Guatemala (N = 196 randomly selected households). One adult (≥ 18-years old) and, when available, one child (≤ 5 years-old) provided a stool sample. Up to 48 presumptive Escherichia coli isolates were collected from each stool sample (n = 21,256 total) and were subjected to breakpoint assays for ten antibiotics. Mixed-effects logistic models were used to identify potential factors influencing the likelihood of harboring antibiotic-resistant bacteria. For nine out of ten antibiotics, the odds of detecting resistant bacteria decreased by ~ 32% (odds ratios, OR 0.53-0.8, P < 0.001) for every unit of improvement of a hygie"],"journal":["Scientific reports"],"pagination":["13767"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7426860"],"repository":["biostudies-literature"],"pubmed_title":["Antibiotic use and hygiene interact to influence the distribution of antimicrobial-resistant bacteria in low-income communities in Guatemala."],"pmcid":["PMC7426860"],"pubmed_authors":["Caudell MA","Jarquin C","Omulo S","Archila LD","Amram O","Cordon-Rosales C","Palmer GH","Call DR","McCracken JP","Ramay BM","Rosenkrantz L","Moreno P"],"additional_accession":[]},"is_claimable":false,"name":"Antibiotic use and hygiene interact to influence the distribution of antimicrobial-resistant bacteria in low-income communities in Guatemala.","description":"To examine the effects of poor sanitation and hygiene on the prevalence of antimicrobial-resistant bacteria, we surveyed households in two rural and two urban communities in Guatemala (N = 196 randomly selected households). One adult (≥ 18-years old) and, when available, one child (≤ 5 years-old) provided a stool sample. Up to 48 presumptive Escherichia coli isolates were collected from each stool sample (n = 21,256 total) and were subjected to breakpoint assays for ten antibiotics. Mixed-effects logistic models were used to identify potential factors influencing the likelihood of harboring antibiotic-resistant bacteria. For nine out of ten antibiotics, the odds of detecting resistant bacteria decreased by ~ 32% (odds ratios, OR 0.53-0.8, P < 0.001) for every unit of improvement of a hygie","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Aug","modification":"2026-07-15T23:20:39.974Z","creation":"2026-07-09T10:20:39.6Z"},"accession":"S-EPMC7426860","cross_references":{"pubmed":["32792543"],"doi":["10.1038/s41598-020-70741-4"]}}