National Nutrition and Health Survey 2015
Third Round
Nigeria, 2015
Get MicrodataIdentification
NGA-NBS-NNHS-2015-v1.0
National Nutrition and Health Survey 2015
Third Round
NNHS 2015
No translation
| Name | Country code |
|---|---|
| Nigeria | NGA |
Other Household Health Survey [hh/hea]
The National Nutrition and Health Survey (NNHS) was carried out in 2015 by the National Bureau of Statistics (NBS).
NNHS is a household survey conducted using Standardized Monitoring and Assessment of Relief and Transition (SMART) methods. NNHS is conducted annually and this is the second national level survey, the first being conducted from February to May 2014. In order to provide reliable data for planning and monitoring of key activities, new key indicators have been added: Malaria Intermittent Preventive Treatment in pregnancy for women in the reproductive age group, antenatal care coverage and HIV testing during ANC.. NNHS provides up-to-date information on the situation of nutrition and health and measures key indicators that support the country to monitor progress towards national and internal goals.
The Global Nutrition Report (GNR) 2015 places Nigeria among the countries displaying commitment to reduce hunger and improve nutrition in children and women. Although it still is one of the five large low-middle income countries where more than half of children under age 5 are either stunted or wasted, the trends in meeting the global World Health Assembly Resolution (WHAR) targets are positive and Nigeria is obtaining “some progress”.
This survey report presents the results of the National Nutrition and Health Survey conducted in all the 36 States of Nigeria and Federal Capital Territory (FCT) in July and September 2015. It is the second national survey to assess the nutritional and health status of children under 5 years of age and of women in the reproductive age group (15-49 years), the first being conducted from February to May 2014. In order to provide reliable data for planning and monitoring of key activities, new key indicators have been added: Malaria Intermittent Preventive Treatment in pregnancy for women in the reproductive age group, antenatal care coverage and HIV testing during ANC.
The objectives of the survey are:
- Determine the prevalence of acute malnutrition among children 6 to 59 months of age using WHZ, Mid Upper Arm Circumference (MUAC) and bilateral oedema;
Determine the prevalence of chronic malnutrition and underweight among children 0 to 59 months of age; - Determine the prevalence of acute malnutrition among women 15 to 49 years of age using MUAC;
- Assess the prevalence of diarrhoea and use of ORS and zinc among children under-five years two weeks preceding the survey;
- Estimate coverage of vitamin A supplementation and deworming among children 6 to 59 and 12 to 59 months of age respectively within the last six months;
- Determine the coverage of DPT3/Penta3 and measles immunization among children 12-23 months of age;
- Determine the proportion of under five children with Acute Respiratory Infection (ARI) symptoms and proportion of children with fever received treatment;
- Determine the ownership and universal access of mosquito nets, and utilization of mosquito nets by children 0-59 months;
- Assess the practice of skilled birth attendants, contraceptive prevalence rate and antenatal care coverage among women 15 to 49 years; and
- Determine the proportion of women 15 – 49 years received HIV testing and intermittent preventive treatment during antenatal care.
Sample survey data [ssd]
Household
Version
Version 1.0(June, 2016).
2015
Scope
The scope for data collected was as follows:
-
Nutritional status of children under 5 years of age [Acute Malnutrition, Underweight,Stunting and Overweight];
-
Health status of children under 5 years of age [DPT/Penta3 and measles immunisation coverage, diarrhoea and ORS therapy and zinc supplementation, Acute Respiratory Infection (ARI), fever prevalence and antibiotic treatment];
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Malaria [household availability, net usage, fever prevalence, diagnosis and treatment of malaria in children under 5 years of age, and Malaria Intermittent Preventive Treatment in pregnancy for women in reproductive age group];
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Nutritional status of women in the reproductive age group (15 – 49 years) [Acute malnutrition]
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Health status of women in the reproductive age group (15 – 49 years) [skilled attendance at delivery, contraceptive prevalence rate, antenatal care coverage, and HIV testing during ANC];
-
MNCHW [coverage, Vitamin A supplementation and deworming coverage].
| Topic | Vocabulary |
|---|---|
| Health | World Bank |
| HIV/AIDS | World Bank |
| Malaria | World Bank |
| Nutrition | World Bank |
| Population & Reproductive Health | World Bank |
| Water | World Bank |
Coverage
National Six Geo-Poliltical Zones State Local Government
The survey covered all selected household members, all women aged 15-49 years resident in the household, and all children aged 0-4 years (under age 5) resident in the household.
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Bureau of Statistics (NBS) | Federal Government of Nigeria (FGN) |
| Name | Affiliation | Role |
|---|---|---|
| National Population Commission | Federal Government of Nigeria (FGN) | Technical Support |
| Federal Ministry of Health | Federal Government of Nigeria (FGN) | Technical Support |
| United Nations Children's Fund | United Nations System | Technical Support |
| Name | Abbreviation | Role |
|---|---|---|
| Federal Government of Nigeria | FGN | funding |
| United Nations Children's Fund | UNICEF | funding |
| United States Agency for International Development | USAID | funding |
| Department for International Development | DFID | funding |
Sampling
The National Nutrition and Health Survey using SMART methods is designed as a cross-sectional household survey using a two stage cluster sampling to provide results representative at the state level.
Data were collected from a total of 25,210 households, 20,060 children under-five years of age and 23,688 women of reproductive age.
The sample for the 2015 NNHS is nationally representative and covers the entire population residing in non-institutional dwelling units in the country. The survey uses the national sample frame, which is a list of Enumeration Areas (EAs) prepared for the 2006 Population Census. Administratively Nigeria is divided into states, Local Government Areas (LGAs), and localities. In addition to these administrative units, during the 2006 population census, each locality was subdivided into census Enumeration Areas (EAs). The primary sampling unit (PSU), referred to as a cluster in this survey, is defined on the basis of EAs from the 2006 EA census frame.
The 2015 NNHS sample has been selected using a two-stage cluster design as described below.
-First stage sampling procedure: cluster selection
The PSU (clusters) for each state were randomly selected from the national master sample frame according to the probability proportional to size (PPS) method with the support from National Population Commission.
-Second stage sampling procedure: household selection
The second stage of sampling consisted of selecting households within each cluster by using systematic random selection. The team leader was responsible for the determination of the total number of households in the cluster by conducting a household listing through detailed enumeration of the selected cluster with a support from the community leader. This served as the sampling frame for the selection of households. The team leader then entered the total number of households onto the tablet and sampling interval was automatically calculated and displayed on the tablet. The sampling interval is calculated by dividing the total number of households in the cluster by the number of households to be interviewed. A random number table was used to randomly select a start number, between 1 and the sampling interval, to identify the first household. The sampling interval was used to identify all subsequent households to be included in the survey.
been estimated at zonal level, by pooling the data from the survey domain within each zone.
No Deviation.
The target was to interview 26,048 households across the country. The set target was notreached and overall 25,210 households were interviewed (97 percent).
The data was weighted using sampwgt.
Survey instrument
The different sections of the questionnaire for National Nutrition and Health Survey 2015 are:
Section I: Household Composition
Section 2: Women from 15-49 years of age
Section 3: Child Anthropometry, Vitamin A & De-worming
Section 4: Child Health and Immunization
Section 5: Malaria
Section 6. MNCHW
Computer data editing, table generation and analysis were carried out by the NBS staff at NBS headquarters, Abuja. Report writing was carried out by the Technical Committee of the Consultative Committee on
National Nutrition and Health Survey (NNHS) 2015
Data collection
| Start | End | Cycle |
|---|---|---|
| 2015-07-01 | 2015-09-01 | 8 weeks |
- Face-to-face [f2f]
| Name | Affiliation | Abbreviation |
|---|---|---|
| National Bureau of Statistics | Federal Government of Nigeria | NBS |
| the National Population Commission | Federal Government of Nigeria | NPOPC |
| Federal Ministry of Health (FMOH) | Federal Government of Nigeria | FMOH |
| United Nations Children's Fund | United Nations | UNICEF |
To ensure the quality of data, supportive supervision was provided for the teams at different level. The first level of supervision was provided by the team supervisors who were responsible for closely monitoring the work of the teams to ensure that all sampled households were visited and eligible children and women included. An important element of these supervisors was to facilitatelogistics, organize the team movement within the state, reviewing listing of households, systematic selectin of households and supporting in measurement and age estimation The main aim of such support was needed to uncover any deliberate distortion of household listing and selection of households, age estimation or omission of household members by interviewers so as to reduce their workload. Supervisors also observed the interview to ensure that the survey team were conducting the interviews as per the interview manual.
The second level of supervision consisted of regional coordinators and state level government officers visit to the field and regularly check teams on their work. Strengths and weaknesses were discussed in review session with the teams.
The survey training was conducted by the Survey Technical Team, the National Bureau of Statistics, National Population Council, and the Federal Ministry of Health with support from eHealth Africa.
Galaxy tab 4 7.0" were used to collect data in the field. Collected data were automatically sent to a central server using 3G internet connection using FormHub (Open Data Kit) and immediately analysed for key quality checks. Results displayed on a purpose built dashboard and analysis with STATA served as the basis for communication between the coordinator and the rest of the survey teams during entire data collection period.
The trainings started on the 22nd of June 2015 and conducted in three rounds of 5 days each. Each training had a maximum number of 36 participants. It has been found that limiting the number of
participants greatly increases quality of trainings in Nigeria
Prior to the start of the data collection phase, the selected local government area (LGA) authorities were informed about the survey in order to facilitate the informing of community members about data collection and gain support from the officials and the community. Each team had its own vehicle and was accompanied by a driver. To minimise travel times, teams were advised to stay in the nearest LGA.
Survey teams started fieldwork in the same location where training was conducted in order to make supervision of all teams by senior survey staff possible.
The National Bureau of Statistics (NBS), the National Population Commission (NPopC), Federal Ministry of Health (FMOH) and UNICEF selected 121 persons to be involved in the survey. Of the 121 individuals, 112 constituted the survey teams and 9 individuals were assigned as standby to replace any interviewers who dropped out during the data collection period. Of the 112 individuals, 90 of them were assigned to 30 survey teams (3 individuals per team, of which 1 team leader and 2 measurers), 10 supervisors, 1 national coordinator, 1 assistant national coordinator, 3 training coordinators, 2 technical coordinators and 5 regional coordinators.
Data processing
All data were analysed with STATA version 14.0. ENA for SMART application was used to assess the quality of anthropometric measurements. As per SMART methods, SMART flags were used in the analysis of child anthropometric data and extreme values that resulted likely from incorrect measurements at state level were excluded. SMART flags exclude anthropometric indices with -3 to 3 for WHZ, -3 to 3 for HAZ, -3 to 3 for WAZ, from observed mean.
Data appraisal
No Sampling Error
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| National Bureau of Statistics | NBS | Http://www.nigerianstat.gov.ng | feedback@NIGERIANSTAT.GOV.NG |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | The confidentiality of the individual respondent is protected by law (Statistical Act 2007). This is published in the Official Gazette of the Federal republic of Nigeria No. 60 vol. 94 of 11th June 2007. See section 26 para.2. Punitive measures for breeches of confidentiality are outlined in section 28 of the same Act. |
A comprehensive data access policy is been developed by NBS, however section 27 of the Statistical Act 2007outlines the data access obligation of data producers which includes the realease of properly anonymized micro data.
National Bureau of Statistics, National Nutrition and Health Survey 2015 v1.0
Disclaimer and copyrights
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.
© NBS 2016
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Dr. Yemi Kale (STATISTICIAN GENERAL) | National Bureau of Statistics | yemikale@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
| Mr. Biyi Fafunmi Elisha (HOD ICT) | National Bureau of Statistics | biyifafunmi@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
| Mr. Isiaka Olarewaju (Director RSHD) | National Bureau of Statistics | iolarewaju@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
| Adeyemi Adeniran (Head, Household, RSHD) | National Bureau of Statistics | yemi_adeniran@yahoo.com | http://www.nigerianstat.gov.ng |
| Mr. Adebisi, Sampler | National Bureau of Statistics | ||
| Arjan de Wagt (Chief of Nutrition) | UNICEF Nigeria | adewagt@unicef.org | |
| Sara Gari-Sanchis (Nutrition monitoring Specialist) | UNICEF Nigeria | sgarisanchis@uniceg.org | |
| Assaye Buti (Nurition officer) | UNICEF Nigeria | bassey@unicef.org | |
| Irenonse Victoria (Data Archivist) | National Bureau of Statistics | irenonsevic@yahoo.com | http://www.nigerianstat.gov.ng |
Metadata production
DDI-NGA-NBS-NNHS-2015-v1.0
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| National Bureau of Statistics | NBS | Federal Government of Nigeria (FGN) | Metadata Producer |
2016-08-23
Metadata version
Version 1.0 (June 2016)