Description of Study Area,
The study was conducted in South Ethiopia, Sidama regional state, Hawella district. It is located 272 Km to the south east of Addis Ababa.
Study Design and Sampling
A community-based cross-sectional study design was carried during February, 2020 through June, 2020. The study participants were women and their children aged 6–59 months in the study area. The sample size was determined using single population proportion formula considering the following assumptions: 95% confidence interval (CI), 5% margin of error, and prevalence of under nutrition is 27.6% proportion of child under nutrition from the study conducted in Damot Gale district Southern Ethiopia 26. The required sample size for this study was 307; after adding 10% for non-response rate, the final sample size was 338. The mothers with their children were selected using systematic random sampling techniques and health extensions family folder was used as sampling frame from 3 kebeles which had been identified by the lottery method. Finally, the study participants were allocated proportionally for each kebele based on the number of mothers having child aged less than 5 years.
Data Collection
The data was collected using modified, pre-tested and structured questionnaire to assess socio-demographic and economic status of mothers having children aged 6–59 months. The data to determine woman empowerment was collected using questionnaire adapted from women’s empowerment in agriculture index module A-WEAI Version 27. Additionally, anthropometric measurement data of children was collected using United Nation’s International Children's Fund (UNICEF) SECA portable, digital scale with precision of 100 gm and stature meter. The weighing equipment was standardized with standard weights before taking every measurement. The weight was taken on barefoot and minimal cloths. For child less than 1 year of age, the “mother-and-baby function” was used to determine the body weight of child while being held in the arms of the mother. The measurement of height/length of children was carried using height board. The height was recorded after checking by two persons to the nearest 0.1 cm. The recumbent length in children younger than 24 months of age and standing height for 24 months onwards was also measured.
Quality control
The content of the questionnaire was edited, reordered and modified to improve clarity. The revised questionnaire was then pre-tested on 5% of respondents outside the study area. The questionnaire was created in English but then translated and administered in local language (Sidaamu Afoo). The consent of the respondents was obtained prior to administration of the questionnaire. All questionnaires were followed by a face-to-face interview. Four interviewers were trained to conduct assessments. The interviewers were BSc holders with educational background in public health sciences. To administer the questionnaire, the questions were read aloud, with respondents given enough time (25–30 minutes) to respond for the questionnaire. The data was checked for completeness, accuracy, and consistency on daily basis. Finally, data was entered in to Epi-data software by two independent data entry clerks and then validation of duplicated data files were made to ensure data quality.
Ethical consideration
This study was reviewed and approved by Institutional Review Board of Hawassa University, College of Medicine and Health Sciences (Ref. No: IRB/026/12). Anonymity of the participants was kept by informing them that their name and personal identifiers were not written on the questioner. The interviewer had explained the objective, benefit and risk of the study to get informed consent from each study subject. Participants were informed that they have full right to participate or refuse participation in the study and the right to stop in the meantime while administering questioner if not feeling comfortable, keeping in mind the rationale of the study and benefit of individual response.
Statistical Analysis
The pre- coded data were entered into Epi Data version 3.1 and WHO Anthro software was used to compute Z-score (height-for-age and weight-for-height) according to WHO reference standard taking < -2 SD from the median of the reference population were considered stunted and, wasted, respectively. Then, the data were exported and analyzed using the Statistical Package for the Social Sciences version 23.0 (IBM SPSS, ver. 23, Armonk, NY). The distribution of the variables were explored and data cleaning was performed to identify outliers/inconsistence, errors and missing. Descriptive statistics were used to determine demographic characteristics of the participants.
The woman empowerment was determined using 5DE aggregate index which comprises six component of binary indicators (Table 1), each of the six indicator is assigned a value of one if the individual’s achievement is adequate and a value of zero if the individual’s achievement is inadequate, The empowerment score is the weighted percentage of dimensions in which a person has achieved adequacy and the woman considered as empowered when the adequate achievements is ≥ 80%.
The bivariate analysis was done to identify factors associated with malnutrition. Those variables in the bivariate analysis with 𝑃 value less than 0.25 were included into the multivariable logistic regression model to control for all possible cofounders. Finally, the adequacy of the model was checked by using Hosmer and Lemeshow goodness-of-fit. The Crude Odd Ratio (COR) and Adjusted Odd Ratio (AOR) with 95% Confidence interval (CI) were calculated to measure the strength of association between dependent and independent variables. Statistical significance was set at P ≤ 0.05.
Table 1
The domains, indicators, inadequacy cut-offs, and weights in the A-WEAI
Domain | Indicator | Inadequacy cut-off | Weight |
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Production | Input in production decision | Inadequate if individual participates BUT does not has not at least some input in decisions; or she does not make the decisions nor feels she could | 1/5 |
Resource | Ownership of asset | Inadequate if household does not own any asset or if household owns the type of asset BUT she/he does not own most of it alone | 2/15 |
Assess to and decision on credit | Inadequate if household has no credit OR used a source of credit BUT she/he did not participate in ANY decisions about it | 1/15 |
Income | Control over use of income | Inadequate if participates in activity BUT has no input or little input in decisions about income generated, or does not feels she/he can make decisions regarding wage, employment and major household expenditures | 1/5 |
Leadership | Group membership | Inadequate if is not part of at least one group; inadequate if no groups reported in community | 1/5 |
Time | Workload | Inadequate if works more than 10.5 hours a day | 1/5 |