Nutritional status and adequacy of feeding Practices in Infants and Toddlers 0-23.9 months living in the United Arab Emirates (UAE): findings from the feeding Infants and Toddlers Study (FITS) 2020.

BACKGROUND: Infant and young child feeding practices (IYCF) impact the early and later health status of the population. Limited data is available regarding IYCF in the United Arab Emirates (UAE). This study aimed to evaluate the nutritional status and adequacy of feeding practices, energy, food, and nutrient intakes of UAE infants and toddlers ages 0-23.9 months. METHODS: This study is a population-based cross-sectional survey of 276 infants and toddlers aged 0-23.9 months of which 180 were nationals and 96 were Arab non-nationals living in the UAE. Data were collected from the three major emirates: Abu Dhabi, Dubai, and Sharjah. Anthropometry was collected and assessed using WHO Anthro-Survey Analyzer, and a multicomponent age-specific questionnaire was used to evaluate IYCF and sociodemographic characteristics. Usual intake of energy, micronutrients, and macronutrients, including supplements, were collected using multiple-pass 24-h dietary recall and analyzed using the PC-side software. IYCF practices were assessed using the WHO indicators. RESULTS: Overall, 4% of children were malnourished, 8% wasted, 15% stunted, 18% at risk of overweight, and 7% overweight and obese. 95% of infants were ever breastfed and 37% exclusively breastfed at 6 months. Around 98% of infants had a timely introduction of complementary food. Macronutrient intake exceeded AMDR for fat, carbohydrates, and protein for 27%, 8% and 2% of toddlers respectively. As for the percentage of those exceeding the ESPGHAN cut-off for free sugars set at 5% of energy intake, 28.6% had excessive intakes overall, 10% in 0-5.9, 21.9% in 6-11.9 and 56.7% in 12-23.9 month. Usual iron intake was below the Estimated Average Requirement (EAR) in 47% of infants 6-11.9 months. Above 12 months, the usual intake of iron and vitamin D were below EAR in 11% and 49% of toddlers respectively. Usual intake exceeded the tolerable upper intake levels (UL) for vitamin A (14 to 18%) and zinc (11 to 22%) across all ages. Approximately 93% of toddlers ages 12-23.9 months did not meet food groups' recommendations for vegetables, 87% for fruits, 48% for milk/dairy, 54% for lean meat and beans, and 33% for grains. CONCLUSIONS: This study revealed that a high percentage of infants and toddlers aged 0-23.9 m suffer from a double burden of malnutrition, which is the coexistence of both undernutrition, and overweight and obesity in the same population. In addition to suboptimal feeding practices and inadequate/overconsumption of various nutrients. The findings highlight the need for the development of culturally specific programs aiming to improve the nutritional status of infants and toddlers in the UAE.

Nutritional and Functional Potential of Carob Syrup Versus Date and Maple Syrups.

Research background: The carob tree (Ceratonia siliqua L.) is grown primarily for its seeds that are utilized in the production of the highly prized locust bean gum. The material left after the separation of seeds from the pods is utilized in the production of a range of traditional products including carob syrup, usually in cottage-type industries. The international market penetration of carob syrups is rather limited and, accordingly, scant information exists on their composition and phytochemical properties compared to mainstream syrups. The present study aims to determine key chemical parameters, phenolic profiles and antioxidant properties of carob syrups and benchmark these against those of date and maple syrups. Experimental approach: Carob syrups were prepared from 19 accessions of the carob, under laboratory conditions, by a similar procedure to those practiced by small-scale producers. The pH, browning index, the content of proteins, minerals, hydroxymethylfurfural, sugar composition, total phenols, antioxidant capacity and phenolic profiles of the produced syrups along with branded samples of date and maple syrups were analyzed. Results and conclusions: The pH and sugar composition of the carob syrups were comparable to those of date and maple syrups. In general, the carob syrups contained more proteins, minerals, phenolic acids, flavonoids and total phenols, and exhibited higher antioxidant capacity than the date and maple syrups. The carob syrups exhibited excessive browning and contained more, or comparable content of hydroxymethylfurfural, than the date and maple syrups. The data indicate that carob syrups provide more nutrients and possess superior antioxidant potential to date and maple syrups. The high contents of the carcinogenic hydroxymethylfurfural of the carob syrups warrant milder heating regimens in the concentration step during production. Novelty and scientific contribution: In contrast to studies based on commercial and/or homemade syrups, this work utilized a relatively large number of laboratory-prepared samples for creating a robust database for carob syrup. The results indicated that carob syrups possess superior health promotion and disease prevention effects than the widely traded date and maple syrups. In addition to their potential positive contribution to public health, carob syrups have been shown to be promising candidates for bolstering the economic returns of farmers in carob-producing countries.

Erosion of the Mediterranean diet among adolescents: evidence from an Eastern Mediterranean Country.

At a time when the health benefits of the Mediterranean diet (MD) are pervasively recognised, a paradoxical observation is the decreasing adherence to this dietary pattern in its native countries. This study aims to investigate temporal trends in adherence to the MD among adolescents (10-19 years old) in Lebanon. Data were drawn from three national cross-sectional surveys conducted at three points in time: 1997 (n 2004), 2009 (n 3656) and 2015 (n 1204). Dietary intake was assessed using 24-h dietary recalls, and adherence to the MD was assessed using two country-specific indexes: the composite Mediterranean diet (c-MED) index and Lebanese Mediterranean diet (LMD) index. Significant decreases in c-MED and LMD scores and in the proportion of adolescents adhering to the MD were observed between 1997 and 2015, with more consistent results among females (P < 0·05). Projections for the year 2030 showed further decreases, with less than a quarter of adolescents remaining adherent to the MD. Based on linear regression analyses, belonging to the year 2009 was associated with significantly lower MD scores compared with 1997, even after adjustment for potential covariates (c-MED ß = -0·16, 95 % CI -0·30, -0·01; LMD ß = -0·42, 95 % CI -0·67, -0·17). Similar results were obtained when comparing survey year 2015 with 1997 (c-MED score ß = -0·20, 95 % CI -0·33, -0·06; LMD score ß = -0·60, 95 % CI -0·82, -0·37). Findings highlight the erosion of the MD among Lebanese adolescents and underline the need for a comprehensive food system approach that fosters the promotion of the MD as a nutritionally balanced and sustainable dietary pattern.

Dietary intakes, sources, and determinants of free sugars amongst Lebanese children and adolescents: findings from two national surveys.

PURPOSE: To determine the intake levels, dietary sources, and determinants of free sugars (FS) consumption amongst Lebanese children and adolescents. METHODS: This study is based on data collected by two national cross-sectional surveys conducted on representative samples of Lebanese children: survey 1 (under-five years (U5) children) (n = 899) and survey 2 (5-18 years-old children) (n = 1133). Multi-component questionnaires were used for data collection. Dietary intakes were assessed using one 24 h dietary recall. Median daily intakes of FS, and percent contribution of various food groups to FS intake were compared between sex and age groups. Logistic regressions were conducted to explore the determinants of high FS intake (> 10% energy intake/d), as per the WHO recommendations. RESULTS: Median contribution of FS to daily energy intake was 8.5% in U5 children and 11.9% amongst those aged 5-18 years old. The top contributors to FS in both surveys were sugar-sweetened beverages and biscuits and chocolates. The proportion of children and adolescents exceeding WHO upper limits for FS was estimated at 43 and 62% in survey 1 and survey 2, respectively. Regression models showed females, higher household monthly incomes and higher parental educational levels were associated with significantly lower odds of exceeding the WHO upper limit for FS. CONCLUSION: The study showed that a high proportion of Lebanese children and adolescents exceeded the WHO upper limit for FS intake, while also documenting a socioeconomic gradient in FS intake. Findings call for devising food system-based interventions to help reduce FS intake in this nutritionally vulnerable age group.

Exploring the Use of Mobile and Wearable Technology among University Student Athletes in Lebanon: A Cross-Sectional Study.

The markets of commercial wearables and health and fitness apps are constantly growing globally, especially among young adults and athletes, to track physical activity, energy expenditure and health. Despite their wide availability, evidence on use comes predominantly from the United States or Global North, with none targeting college student-athletes in low- and middle-income countries. This study was aimed to explore the use of these technologies among student-athletes at the American University of Beirut (AUB). We conducted a cross-sectional survey of 482 participants (average age 20 years) enrolled in 24 teams during Fall 2018; 230 students successfully completed the web-based survey, and 200 provided valid data. Fifty-three (26.5%) have owned a fitness tracker, mostly for self-monitoring. The most popular were Fitbit, Apple Watch, and Garmin. Similarly, 82 students (40%) used apps, primarily MyFitnessPal, Apple Health, and Samsung Health. Nevertheless, many participants discontinued use due to loss of interest or technical issues (breaking, usability, obsolescence, or lack of engagement). Wearable devices were considered superior to mobile phones alone as physical activity monitors. However, forming regular habits made self-monitoring via technology irrelevant. Further research is needed to better understand what motivates continuous use among student-athletes, who could use trackers to improve athletic performance and overall health.

Food insecurity is associated with lower adherence to the Mediterranean dietary pattern among Lebanese adolescents: a cross-sectional national study.

PURPOSE: To derive dietary patterns (DPs) of Lebanese adolescents (10-18 years) and evaluate associations between identified DPs and household food insecurity (HFI). METHODS: Data on adolescents (n = 693) were drawn from a national survey conducted in 2015 on a representative sample of Lebanese households with children. In addition to a sociodemographic questionnaire, data collection included the validated Arabic-version of the Household Food Insecurity Access Scale, used to evaluate HFI. Dietary intake was assessed using a 187-item validated food frequency questionnaire. Associations between HFI scores and DPs were examined using multiple linear regressions. RESULTS: HFI was observed in 55.2% of the study sample. Two DPs were derived among adolescents: Western and Lebanese-Mediterranean (LM). The Western DP was characterized by higher consumption of sweetened beverages, fast foods, sweets, and refined grains, whereas the LM DP was characterized by higher intakes of fruits, vegetables, dairy products, and whole grains. Scores of the Western DP were negatively associated with fiber, calcium, iron, and vitamins A and D, while the LM DP scores were positively correlated with fiber, proteins, iron, calcium, and vitamins A and D (p < 0.01). LM DP scores were also negatively correlated with total fat, saturated and polyunsaturated fats, p < 0.05. After adjustment for sociodemographics, multiple linear regression showed that higher HFI scores were associated with lower adherence to LM DP among adolescents (ß = - 0.026, 95% CI - 0.046, - 0.006). CONCLUSIONS: HFI was associated with lower adherence to the Mediterranean pattern among Lebanese adolescents. Preventive strategies are needed to promote better diet quality among food-insecure youth.

Modelling a preference-based index for EQ-5D-3L and EQ-5D-3L + Sleep using a Bayesian framework.

BACKGROUND: Conventionally, frequentist approach has been used to model health state valuation data. Recently, researchers started to explore the use of Bayesian methods in this area. OBJECTIVES: This paper presents an alternative approach to modelling health state valuation data of the EQ-5D-3L and EQ-5D-3L + Sleep descriptive systems, using a Bayesian framework, and demonstrates its superiority to conventional frequentist methods. METHODS: The valuation study is composed of 18 EQ-5D-3L health states and 18 EQ-5D-3L + Sleep health states valued by 160 members of the general public in South Yorkshire, UK, using the time tradeo-ff technique. Three different models were developed for EQ-5D-3L and EQ-5D-3L + Sleep accordingly using Bayesian Markov chain Monte Carlo simulation methods. Bayesian methods were applied to models fitted included a linear regression, random effect and random effect with covariates. The models are compared based on their predictive performance using mean predictions, root mean squared error (RMSE) and deviance information criterion (DIC). All analyses were performed using Bayesian Markov chain Monte Carlo simulation methods. RESULTS: The random effects with covariates model performs best under all criterions for the two preference-based measures, with RMSE (0.037) and DIC (637.5) for EQ-5D-3L and RMSE (0.019), DIC (416.4) for EQ-5D + Sleep. Compared with models previously estimated using frequentist approach, the Bayesian models reported in this paper provided better predictions of observed values. CONCLUSION: Bayesian methods provide a better way to model EQ-5D-3L valuation data with and without a sleep 'bolt-on' and provide a more flexible in characterizing the full range of uncertainty inherent in these estimates.

Food insecurity is associated with compromised dietary intake and quality among Lebanese mothers: findings from a national cross-sectional study.

OBJECTIVE: Examine the associations between household food insecurity (HFI) with sociodemographic, anthropometric and dietary intakes of mothers. DESIGN: Cross-sectional survey (2014-2015). In addition to a sociodemographic questionnaire, data collection included the validated Arabic version of the Household Food Insecurity Access Scale, which was used to evaluate HFI. Dietary intake was assessed using 24-h dietary recall of a single habitual day, and maternal BMI was calculated based on weight and height measurements. Associations between HFI and maternal dietary intake (food groups, energy and macronutrients' intake) were examined. Simple and multiple logistic regression analyses were conducted to explore the associations between HFI status with odds of maternal overweight and measures of diet quality and diversity (Healthy Eating Index (HEI) and Minimum Dietary Diversity for Women of Reproductive Age (MDD-W)). SETTING: Lebanon. PARTICIPANTS: Mothers, nationally representative sample of Lebanese households with children (n 1204). RESULTS: HFI was experienced among almost half of the study sample. Correlates of HFI were low educational attainment, unemployment and crowding. Significant inverse associations were observed between HFI and dietary HEI (OR 0·64, 95 % CI 0·46, 0·90, P = 0·011) and MDD-W (OR 0·6, 95 % CI 0·42, 0·85, P = 0·004), even after adjusting for socioeconomic correlates. No significant association was observed between HFI and odds of maternal overweight status. CONCLUSIONS: HFI was associated with compromised maternal dietary quality and diversity. Findings highlight the need for social welfare programmes and public health interventions to alleviate HFI and promote overall health and wellbeing of mothers.

Prevalence and correlates of food insecurity among Lebanese households with children aged 4-18 years: findings from a national cross-sectional study.

OBJECTIVE: Food insecurity (FI) is a major public health problem in Lebanon, a small middle-income country with the highest refugee per capita concentration worldwide and prolonged political and economic challenges. The present study aimed to measure the prevalence and sociodemographic correlates of household FI and to explore the association of household FI with anthropometric measures of children and their mothers. DESIGN: Cross-sectional survey (2014-2015). SETTING: Lebanon.ParticipantsNationally representative sample of Lebanese households with 4-18-year-old-children and their mothers (n 1204). RESULTS: FI prevalence (95 % CI), measured using the Arabic-translated, validated Household Food Insecurity Access Scale, was found to be 49·3 (44·0, 54·6) % in the study sample. Mild, moderate and severe FI were found in 7·0 (5·5, 9·2) %, 23·3 (20·1, 26·8) % and 18·9 (14·9, 23·5) % of households, respectively. Multiple regression analysis showed that low maternal and paternal education, unemployment and crowding were significant correlates of household FI (P<0·05). No significant associations were observed between FI and anthropometric measures of children and their mothers, after adjusting for other socio-economic correlates. Food-insecure households reported various mechanisms to cope with food shortage, such as reducing the number of meals/d (49·6 %), borrowing food (54·4 %), spending savings (34·5 %) and withdrawing children from schools (8·0 %). CONCLUSIONS: FI exists among a remarkable proportion of Lebanese households with children. Correlates of household FI should be considered when designing social welfare policies and public health programmes to promote more sustainable, resilient and healthier livelihoods among vulnerable individuals.

Use of Bayesian methods to model the SF-6D health state preference based data.

BACKGROUND: Conventionally, models used for health state valuation data have been frequentists. Recently a number of researchers have investigated the use of Bayesian methods in this area. The aim of this paper is to put on the map of modelling a new approach to estimating SF-6D health state utility values using Bayesian methods. This will help health care professionals in deriving better health state utilities of the original UK SF-6D for their specialized applications. METHODS: The valuation study is composed of 249 SF-6D health states valued by a representative sample of the UK population using the standard gamble technique. Throughout this paper, we present four different models, including one simple linear regression model and three random effect models. The predictive ability of these models is assessed by comparing predicted and observed mean SF-6D scores, R2/adjusted R2 and RMSE. All analyses were carried out using Bayesian Markov chain Monte Carlo (MCMC) simulation methods freely available in the specialist software WinBUGS. RESULTS: The random effects model with interaction model performs best under all criterions, with mean predicted error of 0.166, R2/adjusted R2 of 0.683 and RMSE of 0.218. CONCLUSIONS: The Bayesian models provide flexible approaches to estimate mean SF-6D utility estimates, including characterizing the full range of uncertainty inherent in these estimates. We hope that this work will provide applied researchers with a practical set of tools to appropriately model outcomes in cost-effectiveness analysis.

Valuation of preference-based measures: can existing preference data be used to generate better estimates?

BACKGROUND: Experimental studies to develop valuations of health state descriptive systems like EQ-5D or SF-6D need to be conducted in different countries, because social and cultural differences are likely to lead to systematically different valuations. There is a scope utilize the evidence in one country to help with the design and the analysis of a study in another, for this to enable the generation of utility estimates of the second country much more precisely than would have been possible when collecting and analyzing the country's data alone. METHODS: We analyze SF-6D valuation data elicited from representative samples corresponding to the Hong Kong (HK) and United Kingdom (UK) general adult populations through the use of the standard gamble technique to value 197 and 249 health states respectively. We apply a nonparametric Bayesian model to estimate a HK value set using the UK dataset as informative prior to improve its estimation. Estimates are compared to a HK value set estimated using HK values alone using mean predictions and root mean square error. RESULTS: The novel method of modelling utility functions permitted the UK valuations to contribute significant prior information to the Hong Kong analysis. The results suggest that using HK data alongside the existing UK data produces HK utility estimates better than using the HK study data by itself. CONCLUSION: The promising results suggest that existing preference data could be combined with valuation study in a new country to generate preference weights, making own country value sets more achievable for low and middle income countries. Further research is encouraged.

Modelling a preference-based index for EQ-5D using a non-parametric Bayesian method.

BACKGROUND: Conventionally, models used for health state valuation data have been parametric. Recently, a number of researchers have investigated the use of non-parametric Bayesian methods in this area. OBJECTIVES: In this paper, we present a non-parametric Bayesian model to estimate a preference-based index for a five-dimensional health state classification, namely EQ-5D. METHODS: A sample of 2997 members of the UK general population valued 43 health states selected from a total of 243 health states defined by the EQ-5D using time trade-off technique. Findings from non-parametric modelling are reported in this paper and compared to previously used parametric estimations. The impact of respondent characteristics on health state valuations is also reported. RESULTS: The non-parametric models were found to be better at predicting scores in populations with different distributions of characteristics than observed in the survey sample. Additionally, non-parametric models were found to be better at allowing for the impact of respondent characteristics to vary by health state. The results show an important age effect with sex having some effect. CONCLUSION: The non-parametric Bayesian models provide more realistic and better utility estimates from the EQ-5D than previously used parametric models have done. Furthermore, the model is more flexible in estimating the impact of covariates.

Bayesian statistical models to estimate EQ-5D utility scores from EORTC QLQ data in myeloma.

It is well documented that the modelling of health-related quality of life data is difficult as the distribution of such data is often strongly right/left skewed and it includes a significant percentage of observations at one. The objective of this study is to develop a series of two-part models (TPMs) that deal with these issues. Data from the UK Medical Research Council Myeloma IX trial were used to examine the relationship between the European Organization for Research and Treatment of Cancer (EORTC) QLQ-C30/QLQ-MY20 scores and the European QoL-5 Dimensions (EQ-5D) utility score. Four different TPMs were developed. The models fitted included TPM with normal regression, TPM with normal regression with variance a function of participant characteristics, TPM with log-transformed data, and TPM with gamma regression and a log link. The cohort of 1839 patients was divided into 75% derivation sample, to fit the different models, and 25% validation sample to assess the predictive ability of these models by comparing predicted and observed mean EQ-5D scores in the validation set, unadjusted R2 , and root mean square error. Predictive performance in the derivation dataset depended on the criterion used, with R2 /adjusted-R2 favouring the TPM with normal regression and mean predicted error favouring the TPM with gamma regression. The TPM with gamma regression performs best within the validation dataset under all criteria. TPM regression models provide flexible approaches to estimate mean EQ-5D utility weights from the EORTC QLQ-C30/QLQ-MY20 for use in economic evaluation.

Bayesian nonparametric estimation of EQ-5D utilities for United States using the existing United Kingdom data.

BACKGROUND: Valuations of health state descriptors such as EQ-5D or SF6D have been conducted in different countries. There is a scope to make use of the results in one country as informative priors to help with the analysis of a study in another, for this to enable better estimation to be obtained in the new country than analyzing its data separately. METHODS: Data from 2 EQ-5D valuation studies were analyzed using the time trade-off technique, where values for 42 health states were devised from representative samples of the UK and US populations. A Bayesian non-parametric approach has been applied to predict the health utilities of the US population, where the UK results were used as informative priors in the model to improve their estimation. RESULTS: The findings showed that employing additional information from the UK data helped in the production of US utility estimates much more precisely than would have been possible using the US study data alone. CONCLUSION: It is very plausible that this method would serve useful in countries where the conduction of large evaluation studies is not very feasible.

Role of inflammation in the association between the western dietary pattern and metabolic syndrome among Lebanese adults.

The aim of this study was to investigate whether inflammation mediates the previously observed direct association between the western dietary pattern (WDP) and metabolic syndrome (MetS) among Lebanese adults. Sociodemographic, lifestyle, dietary pattern scores, anthropometric and biochemical data of 331 adults were used in this study. Inflammation indicators considered were: serum C-reactive protein (CRP) and the dietary inflammatory index (DII). The scores of the WDP were significantly associated with DII (r = .64) but not with serum CRP. Higher CRP levels increased the odds of MetS and four out of five of its components, while no association was found between the DII and MetS. CONCLUSION: The findings of this study confirmed the association of serum CRP with MetS but did not support mediation effect of inflammation on the association between the WDP and MetS. These findings are important to direct future investigations on diet, inflammation and association with diseases risk.

A comparison of Hong Kong and United Kingdom SF-6D health states valuations using a nonparametric Bayesian method.

OBJECTIVES: There is interest in the extent to which valuations of health may differ between different countries and cultures, but few studies have compared preference values of health states obtained in different countries. The present study applies a nonparametric model to estimate and compare two HK and UK standard gamble values for six-dimensional health state short form (derived from short-form 36 health survey) (SF-6D) health states using Bayesian methods. METHODS: The data set is the HK and UK SF-6D valuation studies in which two samples of 197 and 249 states defined by the SF-6D were valued by representative samples of the HK and UK general populations, respectively, both using the standard gamble technique. We estimated a function applicable across both countries that explicitly accounts for the differences between them, and is estimated using the data from both countries. RESULTS: The results suggest that differences in SF-6D health state valuations between the UK and HK general populations are potentially important. In particular, the valuations of Hong Kong were meaningfully higher than those of the United Kingdom for most of the selected SF-6D health states. The magnitude of these country-specific differences in health state valuation depended, however, in a complex way on the levels of individual dimensions. CONCLUSIONS: The new Bayesian nonparametric method is a powerful approach for analyzing data from multiple nationalities or ethnic groups to understand the differences between them and potentially to estimate the underlying utility functions more efficiently.

Modeling a preference-based index for two condition-specific measures (asthma and overactive bladder) using a nonparametric Bayesian method.

BACKGROUND: Conventionally, parametric models were used for health state valuation data. Recently, researchers started to explore the use of nonparametric Bayesian methods in this area. OBJECTIVES: We present a nonparametric Bayesian model to estimate a preference-based index for two condition-specific five-dimensional health state classifications, one for asthma (five-dimensional Asthma Quality of Life Utility Index) and the other for overactive bladder (five-dimensional Overactive Bladder Quality of Life-Utility Index). METHODS: Samples of 307 and 311 members of the UK general population valued 99 health states selected from a total of 3125 health states defined by each of the measures using the time trade-off technique. The article presents the results of the nonparametric model and compares it with the original model estimated using a conventional parametric random-effects model. The different methods are compared theoretically and in terms of empirical performance across the two data sets. It also reports the effect of respondent characteristics on health state valuations. RESULTS: The nonparametric models were found to be better at predicting health state values within the estimation sample than without in terms of root mean square error and the patterns of standardized residuals. Some respondent characteristics were found to explain variation in health state values, but these did not have a significant effect on the health states values when estimates were adjusted for sample differences with the general population. CONCLUSIONS: The nonparametric Bayesian models are theoretically more appropriate than previously used parametric models and provide better utility estimates from the two condition-specific measures. Furthermore, the model is more flexible in estimating the effect of covariates.

Estimating the SF-6Dv1 Value Set for a Population-Based Sample in Lebanon.

OBJECTIVES: The SF-6Dv1 is a preference-based measure derived from the SF-36 for use in quality-adjusted life-year estimation for cost-utility analysis. Country-specific value sets for SF-6Dv1 are needed to reflect societal preferences but none are available for Lebanon and other Arabic countries. This study aimed to generate a value set for SF-6Dv1 for Lebanon and to compare results with the UK set. METHODS: A sample of 249 health states defined by the SF-6Dv1 were valued by a representative sample of 577 members of the Lebanon general population, using standard gamble. Several multivariate regression models at mean and individual level were fitted to estimate utilities for all SF-6Dv1 states with selection of best fitting models based on predictive ability, consistency, and model fit. The best fitting models were compared with those fitted in the UK study. RESULTS: Data from 553 eligible respondents providing 3308 valuations were used for the analysis. Lebanese values were consistently higher than UK values, indicating differences in preferences, and there were no negative values. The random effects model using only main effects was the best performing model. There were inconsistencies in 2 dimensions, thereby consistent models were estimated with values ranging from 0.367 to 1. The results are consistent with the UK results. CONCLUSIONS: This study provides the first population-based value set for SF-6Dv1 health states for Lebanon, making it possible to generate quality-adjusted life-years for cost-utility analysis studies. The potential for applications of a standardized utility measure is enormous both in Lebanon and all Arab countries.

An exploratory study to assess the knowledge, attitudes and practices of Lebanese residents towards acrylamide.

INTRODUCTION: For years, heat treatment has been an essential method for ensuring mature food that meet the desired quality and safety characteristics. However, this process could lead to the formation of harmful compounds such as acrylamide. In this study we aimed to investigate the knowledge, attitudes and practices (KAPs) of the Lebanese population toward the potential risk associated with acrylamide. MATERIALS & METHODS: An online survey (n = 598) was conducted among residents in Lebanon aged 18 years and above. The survey was divided into five sections including participants' sociodemographic characteristics, knowledge, attitude and practice sections, and some questions related to consumer's preferences. RESULTS & DISCUSSION: The results showed that the majority of the participants had low food safety knowledge regarding acrylamide. Specifically, 82.9% of the consumers had no idea about the chemical, its formation, the foods with a high risk of acrylamide formation and the health risks associated with its exposure. Despite lack of knowledge, good domestic food practices (storage, pre-treatment) were noticed among participants. Moreover, the majority of consumers (> 80%) showed positive attitude towards proper acrylamide labeling. Participants with a bachelor's degree appeared to have a more positive attitude toward food safety compared to those with no qualifications (p<0.001). CONCLUSION: Despite the high consumption of acrylamide by the consumers in Lebanon through fried potatoes, bread, and coffee, the majority have no idea about acrylamide's presence in food, its sources and its adverse health effects. Raising awareness among the public, involving policy makers in addressing the issue of clear labeling and encouraging the adoption of alternative practices to reduce acrylamide are all crucial to protect consumers' health in Lebanon and promote healthier food consumption habits.

Nutrition Knowledge, Attitudes, and Lifestyle Practices That May Lead to Breast Cancer Risk Reduction among Female University Students in Lebanon.

Research has identified both nonmodifiable and modifiable risk factors for breast cancer (BC), with accumulating evidence showing that adopting adequate dietary practices could decrease the risk of this disease. This study aimed to assess nutrition knowledge, attitudes, and lifestyle practices (KAP) that may lead to BC risk reduction among female university students in Lebanon and examine the determinants of their practices. A cross-sectional survey was conducted using a convenience sampling method, comprising 356 (response rate: 71.2%) female students at the American University of Beirut aged 18 to 25 years with no history of BC. Participants completed a pre-tested questionnaire addressing the objectives of the study. The modified Bloom's cut-off of 75% was used to categorize knowledge and practice scores as poor or good and attitudes as negative or positive. Large proportions of students had poor knowledge (68.3%), negative attitudes (65.4%), and poor practices (98.0%) scores. Pursuing a health-related major and having a higher GPA were associated with better knowledge and attitudes while being older and having a lower degree of stress were associated with positive attitudes only. Having a lower body mass index (BMI) was associated with better practice scores. Better knowledge significantly predicted higher intake of fruits and vegetables. Overall knowledge and attitudes were significantly correlated with each other, but neither was significantly correlated with overall practice. These findings underscore the importance of implementing public health programs geared towards improving nutrition KAP that may lead to BC risk reduction.