BRA_2017_2018_INA_v01_M_v01_A_ESS -- DDI_BRA_2017_2018_INA_v01_M_v01_A_ESS_FAO Food and Nutrition Division Statistics Division Nesstar Publisher BRA_2017_2018_INA_v01_M_v01_A_ESS -- -- Brazilian National Dietary Survey 2017-2018 NDS BRA 2017-2018 Inquérito Nacional de Alimentação 2017-2018 BRA_2017_2018_INA_v01_M_v01_A_ESS Brazilian Institute of Geography and Statistics (IBGE, Instituto Brasileiro de Geografia e Estatística) Nesstar Publisher Food and Nutrition Division Individual Food Consumption/Dietary Survey [hh/ifcs] This survey was integrated in the national Consumer Expenditure Survey (POF, Pesquisa de Orçamentos Familiares) 2017-2018 and was carried out as a module to assess individual food intake in a sub-sample of the studied households. The objective of the survey was to analyze and update the consumption profile of the Brazilian population aged 10 years and older. Brazil National coverage, both urban and rural areas. Individuals The population group covered in the survey was general population from 10 years old. Sample survey data [ssd] Face-to-face [f2f] Trained interviewers applied the Multiple-Pass Method to collect two non-consecutive 24-hour recall. The 24-hour recall interviews collected data on the name, preparation method, quantity of foods and beverages consumed, as well as the time and location of consumption. Interviewers also asked follow-up questions regarding the addition of ingredients such as olive oil, butter, margarine, sugar, sweetener, honey, molasses, mayonnaise, ketchup, mustard, soy sauce, grated cheese, and cream to the reported foods. Methods of quantification included household measurements, standard units and standard portions. Each household in the POF sub-sample represents a certain number of permanent private households from the population (universe) from which the original sample was selected. As such, each household in the sub-sample is associated with a sample weight or expansion factor. When applied to the characteristics investigated by the POF, this factor allows for the estimation of quantities of interest for the entire survey population. The expansion factors were initially calculated based on the sampling plan effectively used in the selection of the sub-sample, incorporating adjustments to compensate for non-response from the investigated units. Subsequently, these factors underwent calibration adjustments, a procedure that aimed to ensure that, for each Federation Unit (calibration domains), the estimated totals for the population in certain segments matched the respective totals obtained through the expansion of the original POF sample. Three variables represent the expansion sample weights in the survey: ESTRATO_POF, COD_UPA, and WEIGHTING_FACTOR. WEIGHTING_FACTOR: Final sampling weights (original survey variable "PESO_FINAL"). ESTRATO_POF: Stratification variable of the survey sampling design. This variable identifies the sampling strata used in the complex survey design. COD_UPA: Primary Sampling Unit (PSU) identifier of the survey sampling design. This variable identifies the selected clusters (UPAs) and should be used in the analyses that account for the complex survey design. WEIGHTING_FACTOR can be used alone to obtain weighted point estimates, but ESTRATO_POF and COD_UPA should also be used in analysis that account for the complex survey design, to allow for an accurate estimation of standard errors, confidence intervals, and statistical tests The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO. Pesquisa de Orçamentos Familiares 2017-2018 - Dados de Consumo Alimentar Pessoal no Brasil The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.