Complete genome sequence of a Salmonella enterica strain of serovar Agona associated with an outbreak in France.

We report here the complete genome of one Salmonella Agona strain isolated in 2017 from a dried milk powder in France.

Detection, Characterization and Sequencing of BTV Serotypes Circulating in Cuba in 2022.

In Cuba, despite a high sero-prevalence of bluetongue virus (BTV), circulating serotypes remain unknown. The aim of this study was to identify circulating BTV serotypes in farms throughout the western region of Cuba. Blood samples were collected from 200 young cattle and sheep between May and July 2022 for virological analyses (PCR, viral isolation and virus neutralization) and genome sequencing. The results confirmed viral circulation, with viro-prevalence of 25% for BTV. The virus was isolated from 18 blood samples and twelve BTV serotypes were identified by sequencing RT-PCR products targeting the segment 2 of the BTV genome (BTV-1, 2, 3, 6, 10, 12, 13, 17, 18, 19, 22 and 24). Finally, the full genome sequences of 17 Cuban BTV isolates were recovered using a Sequence Independent Single Primer Amplification (SISPA) approach combined to MinION Oxford Nanopore sequencing technology. All together, these results highlight the co-circulation of a wide diversity of BTV serotypes in a quite restricted area and emphasize the need for entomological and livestock surveillance, particularly in light of recent changes in the global distribution and nature of BTV infections.

Exploring Long-Read Metagenomics for Full Characterization of Shiga Toxin-Producing Escherichia coli in Presence of Commensal E. coli.

The characterization of Shiga toxin-producing Escherichia coli (STEC) is necessary to assess their pathogenic potential, but isolation of the strain from complex matrices such as milk remains challenging. In previous work, we have shown the potential of long-read metagenomics to characterize eae-positive STEC from artificially contaminated raw milk without isolating the strain. The presence of multiple E. coli strains in the sample was shown to potentially hinder the correct characterization of the STEC strain. Here, we aimed at determining the STEC:commensal ratio that would prevent the characterization of the STEC. We artificially contaminated pasteurized milk with different ratios of an eae-positive STEC and a commensal E. coli and applied the method previously developed. Results showed that the STEC strain growth was better than the commensal E. coli after enrichment in acriflavine-supplemented BPW. The STEC was successfully characterized in all samples with at least 10 times more STEC post-enrichment compared to the commensal E. coli. However, the presence of equivalent proportions of STEC and commensal E. coli prevented the full characterization of the STEC strain. This study confirms the potential of long-read metagenomics for STEC characterization in an isolation-free manner while refining its limit regarding the presence of background E. coli strains.

The Past, Present, and Future of Psychotherapy Manuals: Protocol for a Scoping Review.

BACKGROUND: Psychotherapy manuals are critical to the dissemination of psychotherapy treatments. Psychotherapy manuals typically serve several purposes, including, but not limited to, establishing new psychotherapy treatments, training providers, disseminating treatments to those who deliver them, and providing guidelines to deliver treatments with fidelity. Yet, the proliferation of psychotherapy manuals has not been well-understood, and no work has aimed to assess or review the existing landscape of psychotherapy manuals. Little is known about the breadth, scope, and foci of extant psychotherapy manuals. OBJECTIVE: This scoping review aims to identify and explore the landscape of existing book-based psychotherapy manuals. This review aims to specify the defining characteristics (ie, foci, clinical populations, clinical targets, treatment type, treatment modality, and adaptations) of existing book-based psychotherapy manuals. Further, this review will demonstrate how this information, and psychotherapy manuals more broadly, has changed over time. This project aims to make a novel contribution that will have critical implications for current methods of developing, aggregating, synthesizing, and translating knowledge about psychotherapeutic treatments. METHODS: This scoping review will review book-based psychotherapy manuals published from 1950 to 2022.This scoping review will be informed by guidance from the Joanna Briggs Institute Scoping Review Methodology Group and prior scoping reviews. Traditional search and application programming interface-based search methods will be used with search terms defined a priori to identify relevant results using 3 large book databases: Google Books, WorldCat, and PsycINFO. This review will leverage machine learning methods to enhance and expedite the screening process. Primary screening of results will be conducted by at least 2 authors. Data will be extracted and double-coded by research assistants using an iteratively defined codebook. RESULTS: The search process produced 78,600 results, which were then iteratively deduplicated. Following deduplication, 50,583 results remained. The scoping review is expected to identify common elements of psychotherapy manuals, establish how the foci and content of manuals have changed over time, and illustrate coverage and gaps in the landscape of psychotherapy manuals. Results from this scoping review will be critical for future work focused on developing, aggregating, synthesizing, and disseminating knowledge about psychotherapeutic treatments. CONCLUSIONS: This review will provide knowledge about the vast landscape of psychotherapy manuals that exist. Findings from this study will inform future efforts to develop, aggregate, synthesize, and translate knowledge about psychotherapeutic treatments. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/47708.

High throughput qPCR analyses suggest that Enterobacterales of French sheep and cow cheese rarely carry genes conferring resistances to critically important antibiotics for human medicine.

Bacteria present in raw milk can carry acquired or intrinsic antimicrobial resistance genes (ARGs) and mobile genetic elements (MGEs). However, only a few studies have evaluated raw milk cheese as a potential reservoir of ARGs. This study thus aimed at providing new data regarding resistance markers present in raw milk cheese. Sheep (n = 360) and cow (n = 360) cheese samples produced in France were incubated in buffered peptone water supplemented with acriflavin or novobiocin; as corroborated by 16S metabarcoding, samples were enriched in Gram-negative bacteria since Escherichia coli and Hafnia alvei respectively accounted for 40 % and 20 % of the samples' microbiota. Screening of the samples for the presence of 30 ARGs and 16 MGEs by high throughput qPCR array showed that nine ARGs conferring resistances to 1st-generation beta-lactams, aminoglycosides, trimethoprim/sulfonamides and tetracyclines occurred in >75 % of both sheep and cow samples. This is neither surprising nor alarming since these resistance genes are widely spread across the One Health human, animal and environmental sectors. Conversely, genes conferring resistances to last-generations cephalosporins were rarely identified, while those conferring resistances to carbapenems or amikacin, which are restricted to human use, were never detected. Multiple MGEs were detected, the most frequent ones being IncF plasmids, confirming the potential transmission of ARGs. Our results are in line with the few studies of the resistome of milk or milk cheese showing that genes conferring resistances to 1st-generation beta-lactams, aminoglycosides and tetracyclines families are widespread, while those conferring resistances to critically important antibiotics are rare or absent.

Combination of whole genome sequencing and supervised machine learning provides unambiguous identification of eae-positive Shiga toxin-producing Escherichia coli.

Introduction: The objective of this study was to develop, using a genome wide machine learning approach, an unambiguous model to predict the presence of highly pathogenic STEC in E. coli reads assemblies derived from complex samples containing potentially multiple E. coli strains. Our approach has taken into account the high genomic plasticity of E. coli and utilized the stratification of STEC and E. coli pathogroups classification based on the serotype and virulence factors to identify specific combinations of biomarkers for improved characterization of eae-positive STEC (also named EHEC for enterohemorrhagic E.coli) which are associated with bloody diarrhea and hemolytic uremic syndrome (HUS) in human. Methods: The Machine Learning (ML) approach was used in this study on a large curated dataset composed of 1,493 E. coli genome sequences and 1,178 Coding Sequences (CDS). Feature selection has been performed using eight classification algorithms, resulting in a reduction of the number of CDS to six. From this reduced dataset, the eight ML models were trained with hyper-parameter tuning and cross-validation steps. Results and discussion: It is remarkable that only using these six genes, EHEC can be clearly identified from E. coli read assemblies obtained from in silico mixtures and complex samples such as milk metagenomes. These various combinations of discriminative biomarkers can be implemented as novel marker genes for the unambiguous EHEC characterization from different E. coli strains mixtures as well as from raw milk metagenomes.

Hybrid Assembly from 75 E. coli Genomes Isolated from French Bovine Food Products between 1995 and 2016.

Here, we report the complete (or near-complete) genome sequences of 75 Escherichia coli isolates, including 71 stx-positive E. coli isolates, isolated in France between 1995 and 2016 from food of bovine origin. Genomes were assembled using a combination of long- and short-read sequencing.

Predictors of Adolescent Resilience During the COVID-19 Pandemic in a Community Sample of Hispanic and Latinx Youth: Expressive Suppression and Social Support.

The COVID-19 pandemic has created unprecedented disruptions in the daily lives and mental health of adolescents. Less attention has been given to the psychosocial resources that may mitigate the impact of COVID-19 on adolescent mental health, particularly among minoritized populations. In the present study, 259 youth (aged 11-18) were recruited from a community center for integrated prevention and intervention services in a predominantly Latinx and Hispanic community. Youth completed questionnaires about the impact COVID-19 has had on their lives, psychosocial resources (humor, optimism, emotion regulation, social support), and psychiatric symptoms (depressive symptoms, anxiety symptoms, sleep disturbances, aggression). After accounting for age, sex, and exposure to early life adversity, higher reported COVID-19 impact was associated with more depressive symptoms, b = 6.37 (SE = 1.67), 95% CI [3.08, 9.66], p < 0.001, more anxiety symptoms, b = 9.97 (SE = 1.63), 95% CI [6.75, 13.18], p < 0.001, and more sleep disturbances, b = 1.24 (SE = 0.34), 95% CI [0.57, 1.91], p < 0.001. Youth that reported infrequent expressive suppression and the lowest scores on giving social support were at the greatest risk for aggressive behavior in the context of high COVID-19 impact, ps < 0.007. Increasing emotion regulation skills, such as expressive suppression, and opportunities to give social support may promote resilience among high risk youth in the context of this ongoing community stressor.

Evaluation of high molecular weight DNA extraction methods for long-read sequencing of Shiga toxin-producing Escherichia coli.

Next generation sequencing has become essential for pathogen characterization and typing. The most popular second generation sequencing technique produces data of high quality with very low error rates and high depths. One major drawback of this technique is the short reads. Indeed, short-read sequencing data of Shiga toxin-producing Escherichia coli (STEC) are difficult to assemble because of the presence of numerous mobile genetic elements (MGEs), which contain repeated elements. The resulting draft assemblies are often highly fragmented, which results in a loss of information, especially concerning MGEs or large structural variations. The use of long-read sequencing can circumvent these problems and produce complete or nearly complete genomes. The ONT MinION, for its small size and minimal investment requirements, is particularly popular. The ultra-long reads generated with the MinION can easily span prophages and repeat regions. In order to take full advantage of this technology it requires High Molecular Weight (HMW) DNA of high quality in high quantity. In this study, we have tested three different extraction methods: bead-based, solid-phase and salting-out, and evaluated their impact on STEC DNA yield, quality and integrity as well as performance in MinION long-read sequencing. Both the bead-based and salting-out methods allowed the recovery of large quantities of HMW STEC DNA suitable for MinION library preparation. The DNA extracted using the salting-out method consistently produced longer reads in the subsequent MinION runs, compared with the bead-based methods. While both methods performed similarly in subsequent STEC genome assembly, DNA extraction based on salting-out appeared to be the overall best method to produce high quantity of pure HMW STEC DNA for MinION sequencing.

High Throughput Screening of Antimicrobial Resistance Genes in Gram-Negative Seafood Bacteria.

From a global view of antimicrobial resistance over different sectors, seafood and the marine environment are often considered as potential reservoirs of antimicrobial resistance genes (ARGs) and mobile genetic elements (MGEs); however, there are few studies and sparse results on this sector. This study aims to provide new data and insights regarding the content of resistance markers in various seafood samples and sources, and therefore the potential exposure to humans in a global One Health approach. An innovative high throughput qPCR screening was developed and validated in order to simultaneously investigate the presence of 41 ARGs and 33 MGEs including plasmid replicons, integrons, and insertion sequences in Gram-negative bacteria. Analysis of 268 seafood isolates from the bacterial microflora of cod (n = 24), shellfish (n = 66), flat fishes (n = 53), shrimp (n = 10), and horse mackerel (n = 115) show the occurrence of sul-1, ant(3″)-Ia, aph(3')-Ia, strA, strB, dfrA1, qnrA, and blaCTX-M-9 genes in Pseudomonas spp., Providencia spp., Klebsiella spp., Proteus spp., and Shewanella spp. isolates and the presence of MGEs in all bacterial species investigated. We found that the occurrence of MGE may be associated with the seafood type and the environmental, farming, and harvest conditions. Moreover, even if MGE were detected in half of the seafood isolates investigated, association with ARG was only identified for twelve isolates. The results corroborate the hypothesis that the incidence of antimicrobial-resistant bacteria (ARB) and ARG decreases with increasing distance from potential sources of fecal contamination. This unique and original high throughput micro-array designed for the screening of ARG and MGE in Gram-negative bacteria could be easily implementable for monitoring antimicrobial resistance gene markers in diverse contexts.

The moderating role of gender in the association between quality of social relationships and sleep.

To determine whether the association between perceived social support or strain in close relationships and sleep outcomes varies by gender. Participants were selected from the Biomarker projects of either the MIDUS II or MIDUS Refresher study if they were in a married-or married-like relationship and shared a bed with their partner (N = 989). A subsample also participated in a seven-day sleep study (n = 282). Perceived social support and strain from partner, family, and friends were examined by self-report questionnaires. We used the Pittsburgh Sleep Quality Index, sleep daily diary, and actigraphy to measure both subjective and objective sleep. Social support and strain were both associated with sleep outcomes. Specifically, higher social support was associated with fewer daily reports of light sleep and feeling more rested in the morning, while higher social strain was associated with higher clinical sleep disturbance. For women, but not men, social support was significantly associated with lower daily sleep disturbance while perceived social strain was significantly associated with higher daily sleep disturbance, lighter sleep, feeling less rested in the morning, lower sleep efficiency, and longer sleep onset latency. Mainly among women, social support and strain are associated with an important transdiagnostic health outcome-sleep-which may have implications for a wide range of health disparities. Interpersonal stressors may increase health risks differently for women compared to men and one mechanism that may link social relationships to long-term health outcomes is sleep.

Insights into the assessment of highly pathogenic Shiga toxin-producing Escherichia coli in raw milk and raw milk cheeses by High Throughput Real-time PCR.

Current methods for screening Enterohemorrhagic Escherichia coli (EHEC) O157 and non-O157 serogroups in raw milk products typically rely on the molecular detection of stx, eae, and serogroup-specific wzx or wzy genes. As these genetic markers can also be carried by non-EHEC strains, a number of 'false positive' results are obtained during the screening step. The suitability of new EHEC markers (espK, espV, ureD, Z2098, and CRISPRO26:H11) were tested as candidates for a more accurate screening of EHEC in dairy products. High-throughput PCR analysis of 1451 DNA extracts from milk and raw milk cheeses positive for both stx and eae demonstrated that addition of these new markers in the detection scheme resulted in a higher selectivity with a systematic reduction of the number of presumptive positive samples that require further O-group testing and confirmation by strain isolation. This reduction is more important (26% to 52%, depending on the animal production species) in the absence of prior IMS treatment of the enriched culture for the Top7 EHEC serotypes. However, even with prior treatment of the enriched cultures by IMS, the reduction rate varied between 5% and >25%. Analysis of eae-subtype, stx-subtypes indicated strong differences in the STEC (Shiga toxin producing E. coli) flora between animal species (goat, sheep, and cow). This study also pointed toward the possible presence of EHEC O80 (a new emerging EHEC serogroup in Europe) in cow's raw milk cheeses, which warrants further investigations.

A step forward for Shiga toxin-producing Escherichia coli identification and characterization in raw milk using long-read metagenomics.

Shiga toxin-producing Escherichia coli (STEC) are a cause of severe human illness and are frequently associated with haemolytic uraemic syndrome (HUS) in children. It remains difficult to identify virulence factors for STEC that absolutely predict the potential to cause human disease. In addition to the Shiga-toxin (stx genes), many additional factors have been reported, such as intimin (eae gene), which is clearly an aggravating factor for developing HUS. Current STEC detection methods classically rely on real-time PCR (qPCR) to detect the presence of the key virulence markers (stx and eae). Although qPCR gives an insight into the presence of these virulence markers, it is not appropriate for confirming their presence in the same strain. Therefore, isolation steps are necessary to confirm STEC viability and characterize STEC genomes. While STEC isolation is laborious and time-consuming, metagenomics has the potential to accelerate the STEC characterization process in an isolation-free manner. Recently, short-read sequencing metagenomics have been applied for this purpose, but assembly quality and contiguity suffer from the high proportion of mobile genetic elements occurring in STEC strains. To circumvent this problem, we used long-read sequencing metagenomics for identifying eae-positive STEC strains using raw cow's milk as a causative matrix for STEC food-borne outbreaks. By comparing enrichment conditions, optimizing library preparation for MinION sequencing and generating an easy-to-use STEC characterization pipeline, the direct identification of an eae-positive STEC strain was successful after enrichment of artificially contaminated raw cow's milk samples at a contamination level as low as 5 c.f.u. ml-1. Our newly developed method combines optimized enrichment conditions of STEC in raw milk in combination with a complete STEC analysis pipeline from long-read sequencing metagenomics data. This study shows the potential of the innovative methodology for characterizing STEC strains from complex matrices. Further developments will nonetheless be necessary for this method to be applied in STEC surveillance.

Closed Genome Sequence of a Salmonella enterica Serovar Bovismorbificans Strain Isolated from Dried Pork Sausage Associated with an Outbreak in France.

We report here the closed genome sequence of one Salmonella enterica subsp. enterica serovar Bovismorbificans strain isolated from dried pork sausage consumed by a patient suffering from salmonellosis.

Dysregulated arousal as a pathway linking childhood neglect and clinical sleep disturbances in adulthood.

BACKGROUND: A history of childhood maltreatment has a well-established association with clinical sleep disturbances in adulthood, which is a transdiagnostic contributor to many chronic diseases. OBJECTIVE: Determine whether actigraphy-measured indices of dysregulated arousal during sleep explain associations between abuse or neglect in childhood and clinical sleep disturbances in adulthood. PARTICIPANTS AND SETTING: Participants were 646 individuals, ages 25-83 (59.3% female) from the MIDUS II Biomarker, Refresher studies. METHODS: Participants completed the Childhood Trauma Questionnaire, wore an actigraph for seven days, and rated sleep quality using the Pittsburgh Sleep Quality Index (PSQI). RESULTS: Both neglect (b = 0.66, SE = 0.33, p = .04) and abuse (b = 1.09, SE = 0.32, p < .001) were associated with clinical sleep disturbance. Actigraphy-measured sleep efficiency mediated the link between neglect and clinical sleep disturbances (ab = 0.33, SE = 0.12, 95%CI [0.12, 0.57]). However, no such link between abuse and clinical sleep disturbances was mediated by actigraphy-measured indices. Sleep onset latency did not mediate the link between neglect or abuse and sleep disturbance. Models covaried for other maltreatment, gender, and age. CONCLUSIONS: While the unique associations between abuse or neglect and clinical sleep disturbances were robust in this sample, only sleep efficiency emerged as a mediator linking maltreatment and clinical sleep disturbances. Critically, this mediation was specific to neglect. Abuse and neglect may lead to disease through distinct pathways. Moreover, potential dysregulation in arousal that leads to sleep inefficiency may be a specific pathway through which experiences of neglect in childhood contribute to chronic disease.

Predictors of Adolescent Resilience During the COVID-19 Pandemic: Cognitive Reappraisal and Humor.

PURPOSE: The COVID-19 pandemic and efforts to slow the spread of disease have particularly affected the lives of adolescents. Many studies have recently identified the risks to adolescent mental health posed by the COVID-19 pandemic, yet few have identified the markers of resilience to the events and concerns associated with the pandemic's lived experience. This study examined the moderating role of psychosocial resources in the association between the tangible and emotional experiences of the COVID-19 pandemic and symptoms of common psychiatric problems during adolescence (depression, anxiety, proactive and reactive aggression, and sleep problems). METHODS: Participants were adolescents in the United States who were oversampled for early life adversity before the COVID-19 pandemic. The psychosocial resources assessed were humor styles, emotion regulation, social support, optimism, and purpose in life, which have previously been identified as protective in the acute aftermath of stressful events. RESULTS: Greater COVID-19 impact was associated with more anxiety, depressive symptoms, sleep disturbance, and proactive aggression. COVID-19 impact and psychiatric symptoms were unrelated among youth reporting high self-enhancing humor and cognitive reappraisal. CONCLUSIONS: Adolescents high in humor and cognitive reappraisal may be protected against the mental health correlates of the COVID-19 pandemic and other prolonged stressors. Importantly, these factors are known to be modifiable through behavioral interventions. Attention to their effectiveness in prevention and intervention studies is needed as the pandemic continues to exert its impact on individuals and society.

Provision and utilisation of health and nutrition services during COVID-19 pandemic in urban Bangladesh.

The COVID-19 pandemic is expected to have profound effects on healthcare systems, but little evidence exists on service provision, utilisation, or adaptations. This study aimed to (1) examine the changes to health and nutrition service delivery and utilisation in urban Bangladesh during and after enforcement of COVID-19 restrictions and (2) identify adaptations and potential solutions to strengthen delivery and uptake. We conducted longitudinal surveys with health care providers (n = 45), pregnant women (n = 40), and mothers of children <2 years (n = 387) in February 2020 (in-person) and September 2020 (by phone). We used Wilcoxon matched-pairs signed-rank tests to compare the changes before and during the pandemic. Services delivery for women and children which require proximity were severely affected; weight and height measurements fell by 20-29 percentage points (pp) for pregnant women and 37-57 pp for children, and child immunisations fell by 38 pp. Declines in service utilisation were large, including drops in facility visitations (35 pp among pregnant women and 67 pp among mothers), health and nutrition counselling (up to 73 pp), child weight measurements (50 pp), and immunisations (61 pp). The primary method of adaptation was provision of services over phone (37% for antenatal care services, 44%-49% for counselling). Despite adaptations to service provision, continued availability of routine maternal and child health services did not translate into service utilisation. Further investments are needed to provide timely and accurate information on COVID-19 to the general public, improve COVID-19 training and provide incentives for health care providers and ensure availability of personal protective equipment for providers and beneficiaries.

Aging as a Context for the Role of Inflammation in Depressive Symptoms.

Inflammation has been implicated in the pathogenesis and maintenance of depressive symptoms. The role of inflammation in depressive symptomatology may be complex, varying within endophenotypes and across the lifespan. Aging is associated with myriad changes in the structure and function of the brain. Yet, little attention has been given to the role of inflammation in depressive symptoms within a lifespan developmental framework. In this study, we examined whether the association between inflammation and depressive symptom domains varied by age. Participants were a community sample of individuals (N = 2,077, Range = 30-84) who participated in the Biomarker projects of the MIDUS2, MIDUS Refresher, or the MIDJA study. Inflammation was indexed by two inflammatory markers consistently implicated in depressed individuals, interleukin 6 (IL-6) and C-reactive protein (CRP), measured in blood. Depressive symptom domains, including depressed affect, anhedonia, somatic complaints, and interpersonal problems, were reported via the Center for Epidemiologic Studies-Depression Scale (CES-D). Inflammatory markers were associated with more somatic complaints, more interpersonal problems, and less anhedonia. Age moderated the relationship between inflammatory markers and two depressive symptom subscales. Specifically, the positive association between inflammation and somatic complaints and the negative association between inflammation and anhedonia increased with age. These observations offer preliminary evidence from a large community sample that aging may be an important context for the role of inflammatory signaling in different aspects of psychological and behavioral well-being.

It takes a village: An empirical analysis of how husbands, mothers-in-law, health workers, and mothers influence breastfeeding practices in Uttar Pradesh, India.

Evidence on strategies to improve infant and young child feeding in India, a country that carries the world's largest burden of undernutrition, is limited. In the context of a programme evaluation in two districts in Uttar Pradesh, we sought to understand the multiple influences on breastfeeding practices and to model potential programme influence on improving breastfeeding. A cross-sectional survey was conducted among 1,838 recently delivered women, 1,194 husbands, and 1,353 mothers/mothers-in-law. We used bivariate and multivariable logistic regression models to examine the association between key determinants (maternal, household, community, and health services) and breastfeeding outcomes [early initiation of breastfeeding (EIBF)], prelacteal feed, and exclusive breastfeeding (EBF). We used population attributable risk analysis to estimate potential improvement in breastfeeding practices. Breastfeeding practices were suboptimal: EIBF (26.3%), EBF (54%), and prelacteal feeding (33%). EIBF was positively associated with maternal knowledge, counselling during pregnancy/delivery, and vaginal delivery at a health facility. Prelacteal feeds were less likely to be given when mothers had higher knowledge, beliefs and self-efficacy, delivered at health facility, and mothers/mothers-in-law had attended school. EBF was positively associated with maternal knowledge, beliefs and self-efficacy, parity, and socio-economic status. High maternal stress and domestic violence contributed to lower EBF. Under optimal programme implementation, we estimate EIBF can be improved by 25%, prelacteal feeding can be reduced by 25%, and EBF can be increased by 23%. A multifactorial approach, including maternal-, health service-, family-, and community-level interventions has the potential to lead to significant improvements in breastfeeding practices in Uttar Pradesh.