Microbial assessment of commercial pet foods marketed in the United Arab Emirates.

Examining the microbiological characteristics of pet food is imperative to safeguard the health and well-being of companion animals, pet owners, and the surrounding environment. Domestic animals, known for carrying harmful microorganisms, pose a significant health risk, especially in close proximity to people and children. Notably, no studies have previously investigated pet food quality in the Gulf Cooperation Council countries, in particular, the United Arab Emirates (UAE). This study examined the microbiological quality of all stock keeping units (SKUs) of pet foods marketed in UAE (n = 118). Parameters assessed include Total Aerobic Microbial Count (TAMC), Enterobacteriaceae, Total Yeast and Mold Count (TYMC), Salmonella, Listeria monocytogenes, and Clostridium species. Among the 118 samples, 33 (28%) exceeded the acceptable TAMC limit of 106 CFU/g, highlighting significant variations based on manufacturers and ingredients. Eight samples (7%) surpassed the maximum Enterobacteriaceae limit of 3 × 102 CFU/g. TYMC levels exhibited variation, with 33 (28%) exceeding the limit of 104 CFU/g. L. monocytogenes was identified in 44 (37%) of the samples, while Salmonella was not detected. Clostridium contamination was observed in 28 (24%) of the samples. Statistical analyses revealed associations between pet food characteristics and microbial quality, underscoring the imperative for international standards to ensure the safety of pet food. These findings carry significant implications for pet owners, regulatory bodies, and the pet food industry, emphasizing the need for ongoing efforts to enhance the overall quality and safety of pet food products.

Evaluation of awareness and performance towards COVID-related disinfectant use: a comparative study between Jordan and United Arab Emirates.

BACKGROUND: The World Health Organization recommended the use of chemical-based disinfectants as an effective prevention of the COVID-19 pandemic. However, calls for poisoning were reported in several medical centers. The widespread use of chemical-based disinfectants as a preventive measure during the COVID-19 pandemic has underscored potential gaps in community awareness and performance, posing health risks. This study evaluates and compares levels of awareness and performance regarding the safe use of disinfectants in Jordan and UAE. METHODS: The study was conducted between October 2022 and June 2023 via an online questionnaire. Data of respondents from Jordan (n = 828) and UAE (n = 619) were analyzed using SPSS. ANOVA, Mann-Whitney, and Kruskal-Wallis tests evaluated significant differences in awareness and performance levels across different demographic groups in Jordan/UAE and between them. Spearman's correlation test examined the correlation between awareness and performance among respondents. Multinomial logistic regression analysis explored associations between various variables and awareness/performance levels within each population. RESULTS: Findings reveal weak awareness (72.4% and 9.03% in UAE and Jordan, respectively) and moderate performance level (98.8% in UAE and Jordan), with a weak correlation (UAE, rho = 0.093; Jordan, rho = 0.164) observed between the two countries (P < 0.05). Multinomial logistic regression analysis indicates gender-related associations with awareness levels and education-related associations with performance levels. CONCLUSIONS: The study emphasizes the urgent need for awareness campaigns and workshops to promote safer disinfectant practices to develop effective interventions aligning with sustainable development goals.

People from ethnic minorities seeking help for Long Covid: a qualitative study.

BACKGROUND: People from ethnic minority groups are disproportionately affected by COVID-19, are less likely to access primary healthcare and report dissatisfaction with healthcare. Whilst the prevalence of Long Covid in ethnic minority groups is unclear, these groups are under-represented in Long Covid specialist clinics and Long Covid lived experience research which informed the original Long Covid healthcare guidelines. AIM: To understand lived experiences of Long Covid in people from ethnic minority groups. DESIGN & SETTING: Qualitative study with people living with Long Covid in the UK. METHOD: Semi-structured interviews with people who self-disclosed Long Covid were conducted (between June 2022 and June 2023) via telephone or video call. Thematic analysis was conducted. People living with Long Covid or caring for someone with Long Covid advised on all stages of the research. RESULTS: Interviews were conducted with 31 participants representing diverse socio-economic demographics. Help-seeking barriers included little awareness of Long Covid or available support and not feeling worthy of receiving care. Negative healthcare encounters were reported in primary healthcare; however, these services were crucial for accessing secondary or specialist care. There were further access difficulties and dissatisfaction with specialist care. Experiences of stigma and discrimination contributed to delays in seeking healthcare and unsatisfactory experiences, resulting in feelings of mistrust in healthcare. CONCLUSION: Experiences of stigma and discrimination resulted in negative healthcare experiences and mistrust in healthcare, creating barriers to help-seeking. Empathy, validation of experiences, and fairness in recognition and support of healthcare needs are required to restore trust in healthcare.

What is current care for people with Long COVID in England? A qualitative interview study.

OBJECTIVE: To investigate current care for people with Long COVID in England. DESIGN: In-depth, semistructured interviews with people living with Long COVID and Long COVID healthcare professionals; data analysed using thematic analysis. SETTING: National Health Service England post-COVID-19 services in six clinics from November 2022 to July 2023. PARTICIPANTS: 15 healthcare professionals and 21 people living with Long COVID currently attending or discharged (18 female; 3 male). RESULTS: Health professionals and people with lived experience highlighted the multifaceted nature of Long COVID, including its varied symptoms, its impact on people's lives and the complexity involved in managing this condition. These impacts encompass physical, social, mental and environmental dimensions. People with Long COVID reported barriers in accessing primary care, as well as negative general practitioner consultations where they felt unheard or invalidated, though some positive interactions were also noted. Peer support or support systems proved highly valuable and beneficial for individuals, aiding their recovery and well-being. Post-COVID-19 services were viewed as spaces where overlooked voices found validation, offering more than medical expertise. Despite initial challenges, healthcare providers' increasing expertise in diagnosing and treating Long COVID has helped refine care approaches for this condition. CONCLUSION: Long COVID care in England is not uniform across all locations. Effective communication, specialised expertise and comprehensive support systems are crucial. A patient-centred approach considering the unique complexities of Long COVID, including physical, mental health, social and environmental aspects is needed. Sustained access to post-COVID-19 services is imperative, with success dependent on offering continuous rehabilitation beyond rapid recovery, acknowledging the condition's enduring impacts and complexities.

Barriers to healthcare access and experiences of stigma: Findings from a coproduced Long Covid case-finding study.

BACKGROUND AND AIM: Long Covid is often stigmatised, particularly in people who are disadvantaged within society. This may prevent them from seeking help and could lead to widening health inequalities. This coproduced study with a Community Advisory Board (CAB) of people with Long Covid aimed to understand healthcare and wider barriers and stigma experienced by people with probable Long Covid. METHODS: An active case finding approach was employed to find adults with probable, but not yet clinically diagnosed, Long Covid in two localities in London (Camden and Merton) and Derbyshire, England. Interviews explored the barriers to care and the stigma faced by participants and were analysed thematically. This study forms part of the STIMULATE-ICP Collaboration. FINDINGS: Twenty-three interviews were completed. Participants reported limited awareness of what Long Covid is and the available pathways to management. There was considerable self-doubt among participants, sometimes reinforced by interactions with healthcare professionals (HCPs). Participants questioned their deservedness in seeking healthcare support for their symptoms. Hesitancy to engage with healthcare services was motivated by fear of needing more investigation and concerns regarding judgement about the ability to carry out caregiving responsibilities. It was also motivated by the complexity of the clinical presentation and fear of all symptoms being attributed to poor mental health. Participants also reported trying to avoid overburdening the health system. These difficulties were compounded by experiences of stigma and discrimination. The emerging themes reaffirmed a framework of epistemic injustice in relation to Long Covid, where creating, interpreting and conveying knowledge has varied credibility based on the teller's identity characteristics and/or the level of their interpretive resources. CONCLUSION: We have codeveloped recommendations based on the findings. These include early signposting to services, dedicating protected time to listening to people with Long Covid, providing a holistic approach in care pathways, and working to mitigate stigma. Regardless of the diagnosis, people experiencing new symptoms must be encouraged to seek timely medical help. Clear public health messaging is needed among communities already disadvantaged by epistemic injustice to raise awareness of Long Covid, and to share stories that encourage seeking care and to illustrate the adverse effects of stigma. PATIENT OR PUBLIC CONTRIBUTION: This study was coproduced with a CAB made up of 23 members including HCPs, people with lived experience of Long Covid and other stakeholders.

Evaluation of synergistic/antagonistic antibacterial activities of fatty oils from apricot, date, grape, and black seeds.

The increasing antimicrobial resistance requires continuous investigation of new antimicrobial agents preferably derived from natural sources. New powerful antibacterial agents can be produced by simply combining oils that are known for their antibacterial activities. In this study, apricot seed oil (ASO), date seed oil (DSO), grape seed oil (GSO), and black seed oil (BSO) alone and in binary mixtures were assessed. Fatty acid profiles of individual oils and oil mixtures showed linoleic acid, oleic acid, palmitic acid, stearic acid, and linolenic acid contents. Linoleic acid was the most abundant fatty acid in all samples except for ASO, where oleic acid was the dominant one. GSO showed the highest total phenolic content while ASO showed the lowest one. Antibacterial screening was performed against Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Proteus mirabilis, and Staphylococcus aureus. Results showed antibacterial activity in all oils against tested strains except for ASO against S. aureus. Highest antibacterial activity recorded was for ASO against P. mirabilis. ASO-GSO mixture (AG) was the best mixture where it showed synergistic interactions against all strains except P. aeruginosa. In conclusion, seed oil mixtures are likely to show promising antibacterial activities against specific strains.

Employment outcomes of people with Long Covid symptoms: community-based cohort study.

BACKGROUND: Evidence on the long-term employment consequences of SARS-CoV-2 infection is lacking. We used data from a large, community-based sample in the UK to estimate associations between Long Covid and employment outcomes. METHODS: This was an observational, longitudinal study using a pre-post design. We included survey participants from 3 February 2021 to 30 September 2022 when they were aged 16-64 years and not in education. Using conditional logit modelling, we explored the time-varying relationship between Long Covid status ≥12 weeks after a first test-confirmed SARS-CoV-2 infection (reference: pre-infection) and labour market inactivity (neither working nor looking for work) or workplace absence lasting ≥4 weeks. RESULTS: Of 206 299 participants (mean age 45 years, 54% female, 92% white), 15% were ever labour market inactive and 10% were ever long-term absent during follow-up. Compared with pre-infection, inactivity was higher in participants reporting Long Covid 30 to <40 weeks [adjusted odds ratio (aOR): 1.45; 95% CI: 1.17-1.81] or 40 to <52 weeks (aOR: 1.34; 95% CI: 1.05-1.72) post-infection. Combining with official statistics on Long Covid prevalence, and assuming a correct statistical model, our estimates translate to 27 000 (95% CI: 6000-47 000) working-age adults in the UK being inactive because of Long Covid in July 2022. CONCLUSIONS: Long Covid is likely to have contributed to reduced participation in the UK labour market, though it is unlikely to be the sole driver. Further research is required to quantify the contribution of other factors, such as indirect health effects of the pandemic.

Dietetics Student Perceptions of Food Safety Communication to Vulnerable Populations: An International Study.

Registered dietitians can play an important role in delivering food safety information to vulnerable population groups. Although dietetic students are reported to perceive food safety to be important for vulnerable population groups, little is known regarding their attitudes toward their role in the delivery of food safety information. Therefore, the purpose of this study was to determine and evaluate the perceptions of dietetic students regarding their role in food safety communication to vulnerable populations from three international institutions. A total of 208 dietetics students participated in the study from Columbus, Ohio, USA (n = 100), Cardiff, Wales, UK (n = 78), and Beirut, Lebanon (n = 30). Predominantly, the students in this study had positive attitudes toward the importance of food safety for vulnerable groups, although more students from Lebanon were skeptical that vulnerable patients were more susceptible to foodborne infections than the general populations (p < 0.001). Data indicated confidence and understanding of food safety principles and a willingness to learn more about food safety for these groups, however, some students in the UK (30%) and USA (31%) were not confident that they could effectively communicate food safety to vulnerable patients. Based on the findings in this and previous studies, adjustments are recommended to the requirements for food safety knowledge among dietetic students to include food safety counseling competency.

Food insecurity and diet quality in households accessing food membership clubs in Wessex: a mixed-methods study.

BACKGROUND: Food membership clubs that charge a small fee for a set number of items are in place in Wessex to address food insecurity (inadequate reliable access to sufficient affordable, nutritious food). These clubs incorporate longer-term solutions such as budgeting support, benefit maximisation, and cooking skills. The Wessex DIET project was established to measure acceptability and impact of these clubs. Given the paucity of evidence on the prevalence of food insecurity in those accessing such clubs, we aimed to quantify food insecurity and assess diet quality and wellbeing at recruitment. METHODS: In this mixed-methods study, we recruited individuals accessing food clubs in Wessex from March 31 to July 31, 2022. Participants provided informed consent and completed a survey (paper or online) at recruitment that collected data on diet and health. We used the modified six-item US Department of Agriculture (USDA) food security survey module. Follow-up surveys were administered after use of clubs (planned for 3, 6, and 12 months). Participants were invited to participate in a semi-structured interview. We used data from the baseline survey to quantify food insecurity and assess diet quality and wellbeing at point of first access to food clubs. FINDINGS: Of 97 participants recruited, five (5%) were aged 18-24 years, 15 (15%) 25-34 years, 48 (49%) 35-54 years, 13 (13%) 55-64 years, and nine (9%) 65 years and older (seven [7%] did not report their age). 69 (71%) participants were female and 23 (24%) were male (five [5%] did not respond to this question), 79 (81%) were White, and 65 (67%) reported having at least one dependent child. 55 (57%) reported skipping or cutting size of meals because there was not enough money for food. Food security status was calculated in 74 participants who answered all six questions of the USDA module, with 30 (41%) reporting low food security and 32 (43%) reporting very low food security. 31 (32%) of 97 participants reported rarely or never eating fruit, with 23 (24%) eating fruit at least once a day. The most common reported frequency of vegetable consumption was 2-3 times a week (26, 27%) and 4-6 times a week (23, 24%). 12 participants agreed to an interview. The clubs were well received, with participants noticing an improvement in their diet and finances. INTERPRETATION: This study highlights the high prevalence of food insecurity in those accessing food clubs in Wessex, which is expected in a population using food aid, and positive reflections from participants regarding their diet quality after using this service. Findings might not be generalisable nationally. Follow-up will assess impact of the clubs on food insecurity, diet quality and wellbeing, contributing to the evidence base of the effectiveness of food clubs to address these outcomes. FUNDING: National Institute for Health and Care Research (NIHR) Applied Research Collaboration Wessex.

Impact of long COVID-19 on work: a co-produced survey.

BACKGROUND: A proportion of people infected with SARS-CoV-2 develop post-COVID-19 condition (also known as long COVID), a predominantly multisystem condition resulting in varying degrees of functional disability limiting day-to-day activities. We aimed to describe the impact of long COVID on work. METHODS: We co-produced baseline and follow-up online surveys with people with lived experience of long COVID (including three of the co-authors). Respondents were aged 18 years and older with self-reported long COVID following confirmed or suspected COVID-19 infection who were not hospitalised in the first 2 weeks of illness. The baseline survey was administered in November, 2020, using convenience non-probability sampling through social media. Following informed consent, participants completed a follow-up survey at 1 year (November, 2021). Ethics approval was granted by the University of Southampton. FINDINGS: Of 2210 invited, 1153 (52%) participants responded to the survey (mean age of 47·7 years [SD 10·6], 965 [84%] female, 1096 [95%] White, and 892 [78%] holding a university degree). 54 participants (4·7%) reported recovery at follow-up. Median duration of illness was 19·8 months (IQR 19·3-20·1) at follow-up. An equal proportion reported being unable to work at baseline (20·4%, n=235) and follow-up (20·6%, n=237). However, a higher proportion reported being made redundant or taking early retirement at follow-up (8·9%, n=102) than at baseline (2·2%, n=25). 209 (18·1%) reported losing or resigning or leaving their job due to long COVID at follow-up compared with 170 (14·8%) participants at baseline. 307 (26·6%) participants reported not taking time off-sick due to long COVID at baseline, decreasing to 122 (10·6%) at follow-up. Of the 656 individuals reporting length of time off-sick, 354 (54%) were off-sick for more than 3 months, with 113 (17·2%) off-sick for more than 12 months. Nearly half (47%, n=538) reported a loss in income. INTERPRETATION: The convenience non-probability sampling limits generalisability. Research is needed in a representative population sample to characterise the effect on working patterns in people with long COVID, particularly in those with less flexible and more physically demanding occupations who may be less able to take time off to recover. FUNDING: None.

Assessment of mycotoxins in cornflakes marketed in Lebanon.

Cornflakes are a popular and convenient breakfast cereal made from corn and widely consumed worldwide, including in Lebanon. However, they are susceptible to mycotoxin contamination, which can have harmful effects on human health. Our study evaluated the occurrence of five mycotoxins (AFB1, OTA, FUM, ZEA, DON) levels in packed cornflakes marketed in Lebanon. A market screening identified 35 different cornflake stock-keeping units (SKU) in the Lebanese market, originating from 10 different brands and having different tastes and shapes. SKUs were collected and tested for five mycotoxins in triplicates using enzyme-linked immunosorbent assay technique. The results showed the presence of the five mycotoxins in the samples. The average levels of AFB1, OTA, ZEA and FUM among positive samples (above limit of detection) were 1.58, 1.2, 15.1 and 774.1 µg/kg, respectively, and were below the EU limits. On the other hand, the average level of DON was 1206.7 µg/kg, exceeding the EU limit. Furthermore, out of the positive samples, 60%, 17%, 9%, 14%, and 6% exceeded the EU limits for DON, OTA, AFB1, FUM, and ZEA, respectively. Notably, SKUs made in Lebanon had significantly (p < 0.05) higher levels of AFB1 and FUM. The packing size of the cornflakes had no significant (p > 0.05) effect on the levels of the five mycotoxins detected in the samples. AFB1, FUM and ZEA levels differed significantly among SKUs (p > 0.05). Considering these findings, further studies should be conducted to assess the exposure to mycotoxins from the consumption of cornflakes in Lebanon, especially among children.

Risk of New-Onset Long COVID Following Reinfection With Severe Acute Respiratory Syndrome Coronavirus 2: A Community-Based Cohort Study.

Background: Little is known about the risk of long COVID following reinfection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We estimated the likelihood of new-onset, self-reported long COVID after a second SARS-CoV-2 infection, compared to a first infection. Methods: We included UK COVID-19 Infection Survey participants who tested positive for SARS-CoV-2 between 1 November 2021 and 8 October 2022. The primary outcome was self-reported long COVID 12-20 weeks after each infection. Separate analyses were performed for those <16 years and ≥16 years. We estimated adjusted odds ratios (aORs) for new-onset long COVID using logistic regression, comparing second to first infections, controlling for sociodemographic characteristics and calendar date of infection, plus vaccination status in participants ≥16 years of age. Results: Overall, long COVID was reported by those ≥16 years after 4.0% and 2.4% of first and second infections, respectively; the corresponding estimates among those aged <16 years were 1.0% and 0.6%. The aOR for long COVID after second compared to first infections was 0.72 (95% confidence interval [CI], .63-.81) for those ≥16 years and 0.93 (95% CI, .57-1.53) for those <16 years. Conclusions: The risk of new-onset long COVID after a second SARS-CoV-2 infection is lower than that after a first infection for persons aged ≥16 years, though there is no evidence of a difference in risk for those <16 years. However, there remains some risk of new-onset long COVID after a second infection, with around 1 in 40 of those aged ≥16 years and 1 in 165 of those <16 years reporting long COVID after a second infection.

Mixed methods feasibility and usability testing of a childhood obesity risk estimation tool.

BACKGROUND: A Childhood Obesity Risk Estimation tool (SLOPE CORE) has been developed based on prediction models using routinely available maternity and early childhood data to estimate risk of childhood obesity at 4-5 years. This study aims to test the feasibility, acceptability and usability of SLOPE CORE within an enhanced health visiting (EHV) service in the UK, as one context in which this tool could be utilised. METHODS: A mixed methods approach was used to assess feasibility of implementing SLOPE CORE. Health Visitors (HVs) were trained to use the tool, and in the processes for recruiting parents into the study. HVs were recruited using purposive sampling and parents by convenience sampling. HVs and parents were invited to take part in interviews or focus groups to explore their experiences of the tool. HVs were asked to complete a system usability scale (SUS) questionnaire. RESULTS: Five HVs and seven parents took part in the study. HVs found SLOPE CORE easy to use with a mean SUS of 84.4, (n = 4, range 70-97.5) indicating excellent usability. Five HVs and three parents took part in qualitative work. The tool was acceptable and useful for both parents and HVs. Parents expressed a desire to know their child's risk of future obesity, provided this was accompanied by additional information, or support to modify risk. HVs appreciated the health promotion opportunity that the tool presented and felt that it facilitated difficult conversations around weight, by providing 'clinical evidence' for risk, and placing the focus of the conversation onto the tool result, rather than their professional judgement. The main potential barriers to use of the tool included the need for internet access, and concerns around time needed to have a sensitive discussion around a conceptually difficult topic (risk). CONCLUSIONS: SLOPE CORE could potentially be useful in clinical practice. It may support targeting limited resources towards families most at risk of childhood obesity. Further research is needed to explore how the tool might be efficiently incorporated into practice, and to evaluate the impact of the tool, and any subsequent interventions, on preventing childhood obesity.

A conceptual framework for characterising lifecourse determinants of multiple long-term condition multimorbidity.

Objective: Social, biological and environmental factors in early-life, defined as the period from preconception until age 18, play a role in shaping the risk of multiple long-term condition multimorbidity. However, there is a need to conceptualise these early-life factors, how they relate to each other, and provide conceptual framing for future research on aetiology and modelling prevention scenarios of multimorbidity. We develop a conceptual framework to characterise the population-level domains of early-life determinants of future multimorbidity. Method: This work was conducted as part of the Multidisciplinary Ecosystem to study Lifecourse Determinants and Prevention of Early-onset Burdensome Multimorbidity (MELD-B) study. The conceptualisation of multimorbidity lifecourse determinant domains was shaped by a review of existing research evidence and policy, and co-produced with public involvement via two workshops. Results: Early-life risk factors incorporate personal, social, economic, behavioural and environmental factors, and the key domains discussed in research evidence, policy, and with public contributors included adverse childhood experiences, socioeconomics, the social and physical environment, and education. Policy recommendations more often focused on individual-level factors as opposed to the wider determinants of health discussed within the research evidence. Some domains highlighted through our co-production process with public contributors, such as religion and spirituality, health screening and check-ups, and diet, were not adequately considered within the research evidence or policy. Conclusions: This co-produced conceptualisation can inform research directions using primary and secondary data to investigate the early-life characteristics of population groups at risk of future multimorbidity, as well as policy directions to target public health prevention scenarios of early-onset multimorbidity.

Multidisciplinary ecosystem to study lifecourse determinants and prevention of early-onset burdensome multimorbidity (MELD-B) - protocol for a research collaboration.

Background: Most people living with multiple long-term condition multimorbidity (MLTC-M) are under 65 (defined as 'early onset'). Earlier and greater accrual of long-term conditions (LTCs) may be influenced by the timing and nature of exposure to key risk factors, wider determinants or other LTCs at different life stages. We have established a research collaboration titled 'MELD-B' to understand how wider determinants, sentinel conditions (the first LTC in the lifecourse) and LTC accrual sequence affect risk of early-onset, burdensome MLTC-M, and to inform prevention interventions. Aim: Our aim is to identify critical periods in the lifecourse for prevention of early-onset, burdensome MLTC-M, identified through the analysis of birth cohorts and electronic health records, including artificial intelligence (AI)-enhanced analyses. Design: We will develop deeper understanding of 'burdensomeness' and 'complexity' through a qualitative evidence synthesis and a consensus study. Using safe data environments for analyses across large, representative routine healthcare datasets and birth cohorts, we will apply AI methods to identify early-onset, burdensome MLTC-M clusters and sentinel conditions, develop semi-supervised learning to match individuals across datasets, identify determinants of burdensome clusters, and model trajectories of LTC and burden accrual. We will characterise early-life (under 18 years) risk factors for early-onset, burdensome MLTC-M and sentinel conditions. Finally, using AI and causal inference modelling, we will model potential 'preventable moments', defined as time periods in the life course where there is an opportunity for intervention on risk factors and early determinants to prevent the development of MLTC-M. Patient and public involvement is integrated throughout.

Evaluation of awareness and performance towards COVID-related disinfectant use among the university communities in Lebanon.

BACKGROUND: The fast spread of COVID-19 reinforced the daily use of disinfectants around the world. However, the awareness gap of disinfectant use could lead to health risks during the prevention of the pandemic. This study aims to assess the level of awareness and performance towards COVID-related disinfectant use among various university communities (student, staff, and faculty) in Lebanon. METHODS: A cross-sectional study was conducted between December 2021 and June 2022 among 925 participants (males and females aged between 18 and 64 years old) from academic settings in Lebanese universities using convenience sampling. An online validated survey (score-based questionnaire) of personal disinfectants' utilization was conducted to evaluate the awareness and performance levels using SPSS (version 21). Mann-Whitney and Kruskal-Wallis tests were used to check significant differences in awareness and performance levels among gender, age, provinces, educational level, university status, and field of study. Friedman test was used to test for significant differences in performance level questions pre-and post-COVID-19. The Spearman correlation test was used to determine the correlation between the awareness and performance of the respondents regarding the use of disinfectants. RESULTS: It was found that the majority of the respondents showed a weak level of awareness (70.8%) while their performance (61.9%) was moderate. Spearman's correlation analysis concluded a weak correlation between the awareness and performance levels (p < 0.01). The Mann-Whitney test indicated that there was a significant difference (p < 0.05) in awareness and performance levels between males and females. Another notable variable was the educational level of the respondents (p < 0.05) with postgraduate degrees holders recording higher mean scores of awareness than the ones with undergraduate and high school degrees as per Kruskal-Wallis test. Significant differences were shown in awareness scores among the age groups and in performance scores among the field of study (p < 0.05). CONCLUSIONS: The study findings highlighted the necessity of awareness campaigns and training programs addressing the technical handling of disinfectants among the communities in Lebanon. Lebanese governmental authorities (Ministry of Public Health, MoPH, and Ministry of Education and Higher Education, MEHE), and the healthcare professionals and public health researchers in Lebanon may utilize this new evidence to initiate public health interventions as a part of the United Nations (UN) sustainability goal of wellbeing (Sustainable Development Goal 3, SDG 3).

Prediction of childhood overweight and obesity at age 10-11: findings from the Studying Lifecourse Obesity PrEdictors and the Born in Bradford cohorts.

BACKGROUND: In England, 41% of children aged 10-11 years live with overweight or obesity. Identifying children at risk of developing overweight or obesity may help target early prevention interventions. We aimed to develop and externally validate prediction models of childhood overweight and obesity at age 10-11 years using routinely collected weight and height measurements at age 4-5 years and maternal and early-life health data. METHODS: We used an anonymised linked cohort of maternal pregnancy and birth health records in Hampshire, UK between 2003 and 2008 and child health records. Childhood body mass index (BMI), adjusted for age and sex, at 10-11 years was used to define the outcome of overweight and obesity (BMI ≥ 91st centile) in the models. Logistic regression models and multivariable fractional polynomials were used to select model predictors and to identify transformations of continuous predictors that best predict the outcome. Models were externally validated using data from the Born in Bradford birth cohort. Model performance was assessed using discrimination and calibration. RESULTS: Childhood BMI was available for 6566 children at 4-5 (14.6% overweight) and 10-11 years (26.1% overweight) with 10.8% overweight at both timepoints. The area under the curve (AUC) was 0.82 at development and 0.83 on external validation for the model only incorporating two predictors: BMI at 4-5 years and child sex. AUC increased to 0.84 on development and 0.85 on external validation on additionally incorporating maternal predictors in early pregnancy (BMI, smoking, age, educational attainment, ethnicity, parity, employment status). Models were well calibrated. CONCLUSIONS: This prediction modelling can be applied at 4-5 years to identify the risk for childhood overweight at 10-11 years, with slightly improved prediction with the inclusion of maternal data. These prediction models demonstrate that routinely collected data can be used to target early preventive interventions to reduce the prevalence of childhood obesity.

Long Covid active case finding study protocol: A co-produced community-based pilot within the STIMULATE-ICP study (Symptoms, Trajectory, Inequalities and Management: Understanding Long-COVID to Address and Transform Existing Integrated Care Pathways).

BACKGROUND AND AIM: Long Covid is a significant public health concern with potentially negative implications for health inequalities. We know that those who are already socially disadvantaged in society are more exposed to COVID-19, experience the worst health outcomes and are more likely to suffer economically. We also know that these groups are more likely to experience stigma and have negative healthcare experiences even before the pandemic. However, little is known about disadvantaged groups' experiences of Long Covid, and preliminary evidence suggests they may be under-represented in those who access formal care. We will conduct a pilot study in a defined geographical area in London, United Kingdom to test the feasibility of a community-based approach of identifying Long Covid cases that have not been clinically diagnosed and have not been referred to Long Covid specialist services. We will explore the barriers to accessing recognition, care, and support, as well as experiences of stigma and perceived discrimination. METHODS: This protocol and study materials were co-produced with a Community Advisory Board (CAB) made up primarily of people living with Long Covid. Working with voluntary organisations, a study leaflet will be distributed in the local community to highlight Long Covid symptoms and invite those experiencing them to participate in the study if they are not formally diagnosed. Potential participants will be assessed according to the study's inclusion criteria and offered the opportunity to participate if they fit them. Awareness of Long Covid and associated symptoms, experiences of trying to access care, as well as stigma and discrimination will be explored through qualitative interviews with participants. Upon completion of the interviews, participants will be offered a referral to the local social prescribing team to receive support that is personalised to them potentially including, but not restricted to, liaising with their primary care provider and the regional Long Covid clinic.