Dataset Information

Differences in Dietary Intakes among Lebanese Adults over a Decade: Results from Two National Surveys 1997-2008/2009.

ABSTRACT: Amidst the ongoing societal and economic shifts in the Eastern Mediterranean region (EMR), this study aims at investigating temporal trends in food consumption and nutrient intakes among Lebanese adults, by age and sex. Data were derived from two national cross-sectional surveys conducted in Lebanon during two time periods (1997; 2008/2009). In both surveys, dietary assessment was based on 24-h recalls. The results, expressed as % energy intake (%EI), revealed a significant decrease (p < 0.001) in the consumption of bread, fruits, fresh fruit juices, milk and eggs, whereas the consumption of added fats and oils, poultry, cereals and cereal-based products, chips and salty crackers, sweetened milk and hot beverages increased over time (p < 0.001). A significant increase in dietary energy (kcal/day) and fat intake (%EI) was observed, coupled with decreases in carbohydrate intake (%EI) and dietary density of vitamin A and vitamin C (per 1000 kcal) (p < 0.001). These changes were noted in both genders and across age groups, albeit there were some disparities between groups. In conclusion, based on national nutrition surveys, this study is the first to characterize the nutrition transition in a middle-income country of the EMR, shedding light on priority areas for nutrition policies and interventions.

SUBMITTER: Nasreddine L

PROVIDER: S-EPMC6723904 | biostudies-other | 2019 Jul

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Differences in Dietary Intakes among Lebanese Adults over a Decade: Results from Two National Surveys 1997-2008/2009.

Nasreddine Lara L Ayoub Jennifer J JJ Hachem Fatima F Tabbara Jiana J Sibai Abla M AM Hwalla Nahla N Naja Farah F

Nutrients 20190727 8

Amidst the ongoing societal and economic shifts in the Eastern Mediterranean region (EMR), this study aims at investigating temporal trends in food consumption and nutrient intakes among Lebanese adults, by age and sex. Data were derived from two national cross-sectional surveys conducted in Lebanon during two time periods (1997; 2008/2009). In both surveys, dietary assessment was based on 24-h recalls. The results, expressed as % energy intake (%EI), revealed a significant decrease (<i>p</i> < ...[more]

PMID: 31357600

Similar Datasets

Project description:BackgroundAccurate national information on dietary intakes, including heterogeneity among individuals, is critical to inform health implications and policy priorities. In low- and middle-income countries, household expenditure surveys constitute the major source of food data, but with uncertain validity for individual-level intakes.ObjectiveTo investigate how individualized dietary consumption estimated from household survey data compared with individual-level 24-hr dietary recalls (24hR); and to assess potential heterogeneity by method for individualizing household intakes, dietary indicator, and individual characteristics (age, sex, education, religion, household income).MethodsWe evaluated data from the 2011-2012 Bangladesh Household Integrated Survey (BIHS), which included household-level consumption data (5,503 households) and individual-level dietary data based on 24hR from these households (22,173 participants). Household and 24hR estimates were standardized and harmonized for 33 dietary indicators, including 9 food groups, total energy, 8 macronutrients, and 15 micronutrients. Individual consumption was estimated from household data using two approaches, the Adult Male Equivalent (AME) and per capita (PC) approach. For each dietary indicator, differences in household vs. individual mean estimates were evaluated overall and by strata of individual characteristics, using Spearman's correlations and univariate and multivariate linear regression models.ResultsIndividualized household estimates overestimated individual intakes from 24hR for all dietary factors using either estimation method (P<0.001 for each), except for starchy vegetables (AME: P = 0.15; PC: P = 0.85). For foods, overestimation ranged from 4% for seafood to about 240% for fruits, and for nutrients from 11% for carbohydrates and poly-unsaturated fats to 55% for vitamin C, with similar overestimation for the AME and the PC method. By strata, overestimation was modestly higher in men vs. women, in children (0-10y) vs. adolescents (11-19y) and adults (20-44y, ?45y), among adults of higher (?6y) vs. lower (<6y) education, in Muslims vs. other religions (Christians, Hindus), and for the lowest vs. all other income groups. This overestimation was notably higher in young children (0-5y) vs. all other age groups and in the lowest vs. all other income groups. Underestimation was rarely observed, for example for milk intake (-56%) in young children (0-5y). The PC approach did not capture heterogeneity in validity of estimation of different dietary factors by age, mainly in children (0-5y, 6-10y). Spearman's correlations between individualized household estimates and 24hR data were higher for the AME (0.30-0.70) than PC (0.20-0.50) approach. Findings were similar with and without multivariate regression, with proportions of variance (R2) in 24hR intakes explained by the AME being generally greater than PC estimates, yet still low to modest.ConclusionsIn this national survey, established methods for estimating individual level intakes from household surveys produce overestimation of intakes of nearly all dietary indicators, with significant variation depending on the dietary factor and modest variation depending on individual characteristics. These findings suggest a need for new methods to estimate individual-level consumption from household survey estimates.

Project description:BACKGROUND:The majority of U.S. older adults consume alcoholic beverages. The older population is projected to almost double by 2050. Substantially more drinkers are likely. PURPOSE:To describe gender-specific trends (1997 to 2014) in prevalence of drinking status (lifetime abstention, former drinking, current drinking [including average volume], and binge drinking) among U.S. adults ages 60+ by age group and birth cohort. METHODS:In the 1997 to 2014 National Health Interview Surveys, 65,303 respondents ages 60+ (31,803 men, 33,500 women) were current drinkers; 6,570 men and 1,737 women were binge drinkers. Prevalence estimates and standard errors were computed by age group (60+, 60 to 64, 65 to 69, 70 to 74, 75 to 79, 80+) and birth cohort (<1925, 1925 to 1935, 1936 to 1945, 1946 to 1954). Trends were examined using joinpoint regression and described as average annual percent change (AAPC; overall change 1997 to 2014) and annual percent change (APC; in-between infection points). Primary analyses were unadjusted. All analyses (unadjusted and adjusted for demographics/lifestyle) were weighted to produce nationally representative estimates. Statistical procedures accounted for the complex survey design. RESULTS:Among men ages 60+, unadjusted prevalence of current drinking trended upward, on average, 0.7% per year (AAPC, p = 0.02); average volume and prevalence of binge drinking remained stable. Adjusted results were similar. Among women age 60+, unadjusted prevalence of current drinking trended upward, on average, 1.6% per year (AAPC, p < 0.0001), but average volume remained stable; prevalence of binge drinking increased, on average, 3.7% per year (AAPC, p < 0.0001). Adjusted results were similar. Trends varied by age group and birth cohort. Among men born 1946 to 1954, unadjusted prevalence of current drinking trended upward, on average, 2.4% per year (AAPC, p = 0.02); adjusted results were nonsignificant. CONCLUSIONS:Our finding of upward trends in drinking among adults ages 60+, particularly women, suggests the importance of public health planning to meet future needs for alcohol-related programs.

Dataset Information

Differences in Dietary Intakes among Lebanese Adults over a Decade: Results from Two National Surveys 1997-2008/2009.

Publications

Differences in Dietary Intakes among Lebanese Adults over a Decade: Results from Two National Surveys 1997-2008/2009.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets