scholarly journals Underweight and associated factors among children under five years in North Shewa Zone, Oromia, Ethiopia: An observational community-based study

F1000Research ◽  
2022 ◽  
Vol 11 ◽  
pp. 39
Author(s):  
Tamiru Yazew

Background Acute and chronic child undernutrition is a continuous problem in Ethiopia. Therefore, this study was initiated to compare the prevalence of underweight and its associated factors among children aged 6-23 months in the Kuyu district, North Shewa zone, Oromia, Ethiopia. Methods An observational community-based study was conducted on 612 children (304 from household security and 308 from household food insecurity). A structured and standardize questionnaire was used in this study. Anthropometric measurements were generated using WHO standardize. Data was analyzed using SPSS version 20.0. Bivariate and multivariate logistic regression analysis was used to identify the independent variables associated with underweight (weight-for-age) among children in household food security and insecurity, a p value less than 0.05 with 95%CI was considered as statistically significant. Results The results indicated that 30.9% [95%CI; 25.7, 36.2] and 36.7% [95% CI; 31.8, 42.5] of children were underweight for their age in household food security and insecurity. Low wealth status (AOR=3.2; 95%CI: 1.099, 9.275), poor dietary diets (AOR=5.2; 95%CI: 2.046, 13.27), and lack of breastfeeding for two years (AOR= 2.1; 95%CI= 1.78, 5, 42) were associated with underweight children in household food security. Whereas lack of antenatal care visits (AOR=0.52; 95%CI: 0.12, 0.68) and poor dietary diets (AOR=3.01; 95%CI= 2.1, 17.4) were other independent variables associated with underweight children in household food insecurity. Conclusions This study established that there was a high prevalence of underweight in children from Oromia.  Therefore, introducing household income generating activities are vital interventions in order to overcome the problem of undernutrition in this region.

2021 ◽  
Vol 9 (2) ◽  
pp. 639-652
Author(s):  
Dr. Priya Keshari ◽  
Dr. Hari Shankar

Food insecurity affects many dimensions of well-being. It may lead to under nutrition. Although geriatric subjects from food insecure households are more likely to have inadequate energy, household food security does not necessarily guarantee for energy adequacy at individual level. This community based cross-sectional study was conducted on 616 geriatric subjects to find out predictors of food insecurity at household and individual level and examine energy adequacy at family versus individual level. Subjects were selected by multistage sampling procedure from urban Varanasi, India. A predesigned, pretested proforma was used for collecting socioeconomic information. Food insecurity was assessed using Household Food Insecurity Access Scale; 24 hours recall method was used for energy intakes. For analysis of data SPSS version 22.0 was used. χ2 and logistic regression were used for inferential purpose. Food insecurity at household was 68.2%.The significant association of marital status, religion, type and size of family and literacy status with household food insecurity in univariate analysis got eliminated after applying logistic regression analysis; Adjusted Odds Ratios were higher for SC/ST Caste (2.13; 95% CI: 1-4.5) and upper lower plus lower socio economic status(24.13; 95% CI: 13.87-44.61). On energy intake considerations, of 53.9% subjects with household food insecurity, 80.7% had individual food insecurity whereas of 46.1% subjects with household food security 63.7% subjects had individual food insecurity. Caste and socioeconomic class predicted food insecurity at household level. Energy adequacy at family level did not ensure energy adequacy in geriatric subjects.


PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259139
Author(s):  
Elizabeth Opiyo Onyango ◽  
Jonathan Crush ◽  
Samuel Owuor

An understanding of the types of shocks that disrupt and negatively impact urban household food security is of critical importance to develop relevant and targeted food security emergency preparedness policies and responses, a fact magnified by the current COVID-19 pandemic. This gap is addressed by the current study which draws from the Hungry Cities Partnership (HCP) city-wide household food insecurity survey of Nairobi city in Kenya. It uses both descriptive statistics and multilevel modelling using General Linear Mixed Models (GLMM) to examine the relationship between household food security and 16 different shocks experienced in the six months prior to the administration of the survey. The findings showed that only 29% of surveyed households were completely food secure. Of those experiencing some level of food insecurity, more experienced economic (55%) than sociopolitical (16%) and biophysical (10%) shocks. Economic shocks such as food price increases, loss of employment, and reduced income were all associated with increased food insecurity. Coupled with the lack of functioning social safety nets in Nairobi, households experiencing shocks and emergencies experience serious food insecurity and related health effects. In this context, the COVID-19 pandemic is likely to have a major negative economic impact on many vulnerable urban households. As such, there is need for new policies on urban food emergencies with a clear emergency preparedness plan for responding to major economic and other shocks that target the most vulnerable.


Author(s):  
Seo-Hee Park ◽  
Byung-Jin Park ◽  
Dong-Hyuk Jung ◽  
Yu-Jin Kwon

Household food insecurity has been associated with noncommunicable diseases. The aim of this study was to investigate the association between household food insecurity and asthma in Korean adults. Household food security statuses were classified into three groups: Food-secure household, food-insecure household without hunger, and food-insecure household with hunger. The odds ratios and 95% confidence intervals for the presence of asthma according to household food security status were calculated using multiple logistic regression analyses after adjusting for confounding factors. A total of 14,770 participants were included in the analysis. The prevalence of asthma was 2.6% in those with a secure food status, 3.2% in those with an insecure food status without hunger, and 7.6% in those with an insecure food status with hunger (p < 0.001). Compared with that in participants with a household food secure status, the odds ratios (95% confidence intervals) for asthma were 1.12 (0.73–1.73) in those with a food-insecure household without hunger status and 2.44 (1.33–4.46) in those with a food-insecure household with hunger status after additionally adjusting for confounding factors. We found that household food insecurity with hunger was significantly associated with asthma prevalence in Korean adults. Implementation of household food security screening and public health intervention could be helpful to prevent and reduce asthma in adults.


Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1517 ◽  
Author(s):  
Cindy W. Leung ◽  
Megan S. Zhou

Household food insecurity has been associated with adverse health outcomes; however, the mechanisms underlying these associations are not well-defined. Using data from 5005 adults from the 2007–2010 National Health and Nutrition Examination Surveys (NHANES), we examined associations between household food insecurity and cumulative biological risk, a measure of the body’s physiological response to chronic stress. Household food security was assessed using the 18-item Household Food Security Survey Module. Marginal food security refers to 1–2 positive responses, and food insecurity refers to ≥3 positive responses. The cumulative biological risk scores were calculated based on the distributions of ten biomarkers from the cardiovascular, metabolic, and immune systems. Elevated biological risk was defined as a risk score of ≥3. Multivariable regression models were used to examine associations between food security and cumulative biological risk scores, adjusting for sociodemographic characteristics. After multivariable adjustment, food insecurity was associated with a 0.14-unit higher cumulative biological risk score (95% CI 0.05–0.22, p-trend = 0.003) and higher odds of elevated biological risk (OR 1.20, 95% CI 1.05–1.37, p-trend = 0.003). These associations differed by gender. Among women, food insecurity was associated with 0.30-unit higher cumulative biological risk score (95% CI 0.14–0.45, p-trend = 0.0004) and higher odds of elevated biological risk (OR 1.61, 95% CI 1.29–2.00, p-trend < 0.0001). These associations were not observed in men. Women experiencing food insecurity demonstrated elevated levels of biological risk. These findings support the hypothesis that food insecurity may be associated with women’s chronic health outcomes through the pathway of chronic stress. Further research is needed to understand why these associations were not observed in men.


2014 ◽  
Vol 18 (5) ◽  
pp. 877-892 ◽  
Author(s):  
Emanuele S Marques ◽  
Michael E Reichenheim ◽  
Claudia L de Moraes ◽  
Marina ML Antunes ◽  
Rosana Salles-Costa

AbstractObjectiveTo conduct a systematic review aimed at identifying and characterizing the experience-based household food security scales and to synthesize their psychometric properties.DesignSearch in the MEDLINE, LILACS and SciELO databases, using the descriptors (‘food insecurity’ OR ‘food security’) AND (‘questionnaires’ OR ‘scales’ OR ‘validity’ OR ‘reliability’). There was no limitation on the period of publication. All articles had their titles and abstracts analysed by two reviewers. The studies of interest were read in their entirety and the relevant information extracted using a standard form.ResultsThe initial bibliographic search identified 299 articles. Of these, the 159 that seemed to meet the criteria for inclusion were read fully. After consultation of the bibliographic references of these articles, twenty articles and five documents were added, as they satisfied the previously determined criteria for inclusion. Twenty-four different instruments were identified; all were brief and of easy application. The majority were devised in the USA. Forty-seven references reported results of psychometric studies. The instruments that presented the highest number of psychometric studies were the Core Food Security Measurement/Household Food Security Survey Module (CFSM/HFSSM) and the Self-Perceived Household Food Security Scale.ConclusionsThere are a number of structured scales available in the literature for characterization of household food insecurity. However, despite some psychometric studies already existing about the majority of the instruments, it is observed that, except for the studies of the CFSM/HFSSM, these are still restricted to appraisal of a few aspects of reliability and validity.


2020 ◽  
Vol 54 (5) ◽  
Author(s):  
Kim Leonard G. Dela Luna ◽  
Ernani R. Bullecer

Objective. Rural and urban differences affect food availability, accessibility, and sustainability; thus, it has a greatimpact on household food security and dietary diversity. The relationship between the human environment andother factors threatens different domains of food systems resulting in food security. The objective of this study isto determine significant differences between the prevalence of household food security and diet diversity betweenurban and rural communities in Occidental Mindoro. Specifically, to determine the pattern of usual food intake ofpreschool children between rural and urban communities Methods. This study utilized a comparative, cross-sectional, analytic study design in order to determine theprevalence of each variable of interest in the two study areas. Radimer-Cornell Tool was utilized to assess the foodsecurity status of the household while the FAO-Dietary Diversity Score Questionnaire was used to the diversityof diet among PSC. A total of 480 (rural: n=240; urban: n=240) preschool children were recruited to participatein this study. Ratio and proportion using the point and interval estimate were used to determine the prevalencein different areas, meanwhile, chi-square of homogeneity was used to determine significant difference in the twoareas under study. Results. Food insecurity in rural communities was found to be at 56.25% (95% CI: 49.97% to 62.53%) while theprevalence in urban communities was 45.83% (95% CI: 39.53% to 52.14%). There was a significant differencein the prevalence of household food insecurity between rural and urban communities (p=0.0224). Meanwhile,the prevalence of less dietary diversity among preschool children in rural communities was 37.08% (95%: 30.97%to 43.19%) and 26.25% (CI: 20.68% to 31.82%) for urban communities. There was a significant differencein prevalence of low dietary diversity score among preschool children between rural and urban communities(p=0.0107). Conclusion. There were significant differences in terms of household food insecurity and less diverse dietbetween two community settings. Higher prevalence in rural areas signifies that there is a need to prioritize thesevulnerable communities in terms of hunger mitigation and nutrition programs. A combination of milk-rice-meat-fishwas observed in the diet of preschool children for both communities however, higher prevalence of less dietarydiversity was detected among rural communities.


2020 ◽  
Vol 14 (2) ◽  
pp. 130-133
Author(s):  
Md Nazrul Islam Khan ◽  
Nasim Jahan ◽  
Md Abdul Wahab ◽  
Farzana Zafreen

Introduction: Food insecurity refers to a household’s having “limited or uncertain availability of food, or limited or uncertain ability to acquire acceptable foods in socially acceptable ways”. Iron deficiency and iron deficiency anaemia, are the most prevalent nutritional deficiencies worldwide and related to household food insecurity. Objectives: To find out the association between household food security and anaemia in children of a selected rural area of Bangladesh. Materials and Methods: This descriptive cross-sectional study was conducted among children ranging age from 12 to 60 months during the period ofJanuary 2009 to June 2009in Chandpur district. Mothers of the children were the respondents. A total of 192 children selected by simple random sampling were included in the study. Data were collected by face-to-face interview of the respondents and by estimation of haemoglobin of the children. Results: The mean age of the children was 34.5 ± 16.8 months. Male children were more than the female children with male to female ratio being 3:2. The average monthly family income was taka 7500. More than 60% of the mother had secondary level education. Farming was the prime occupation (36.4 %) of the father followed by business (25.5%) and service (22.4%). About 36% of the household did not have food security and nearly 45% of the children wereanaemic (Hb<11 g/dl). About two-thirds (65.2%) children with household food insecurity was anaemic (Hb 11g/dl). Estimation of odds ratio demonstrates that food insecured children were nearly 3 times as likely to develop anaemia as the children having household food security. The present study revealed a significant association (P<0.001) between household food security and anaemia in children. Household food security was not influenced by age and gender of the children. Low family income and mother’ illiteracy was significantly associated with household food insecurity. Conclusion: The present study revealed a significant association between household food insecurity and anaemia in children. Household food security was not influenced by age and gender of the children. However, low family income and mothers’ illiteracy play significant role in household food security. Journal of Armed Forces Medical College Bangladesh Vol.14 (2) 2018: 130-133


2021 ◽  
Vol 21 (105) ◽  
pp. 18912-18931
Author(s):  
U Mukherjee ◽  
◽  
JM Chalwe ◽  
S Mbambara ◽  
WH Oldewage-Theron ◽  
...  

Socio-demographic factors and household food insecurity are considered to influence the nutritional status of older women. The rapidly growing elderly population in Africa is a concern particularly in sustaining their health and nutritional status. In spite of this, there is a scarcity of information in older Zambian women and this study aimed to assess the socio-demographic factors, nutritional status and household food insecurity status of older women in rural Zambian communities. This cross-sectional study was conducted in Twatasha compound of Kitwe and Ndeke community of Ndola. The socio-demographic characteristics, anthropometric measurements, dietary intakes and household food security were evaluated in a convenience sample of 153 older women (≥ 50 years) through the Household Food Insecurity Access Scale (HFIAS). IBM SPSS version 26 was used for descriptive (frequencies, means and standard deviations, and medians with interquartile frequencies) and inferential (bivariate and Spearman correlations) statistical analyses. The socio-demographic characteristics showed that almost all (98.7%) of the participants had other members of the family residing with them. Most participants (57%) had attained primary school education, 19% had secondary education and 5% had college education. Almost half (49%) of the participants did not report their employment status and 36% reported to be unemployed. Over-nutrition was most prevalent (37.3% overweight and 39.8% obese) while 20.9 % and 2.0% of the respondents were normal weight and underweight respectively. The median (25th percentile; 75th percentile) dietary intakes showed inadequate intakes for most nutrients, except for carbohydrates (170 g [133;225]). The total fat intake represented 14% of total energy intake. The majority (86.0%) of the participants were identified as severely food insecure while only 6.0% were food secure. The majority of the participants (80-90%) used at least seven out of the nine behavioural responses to food insecurity. The findings show resource-poor and severely food insecure communities. We recommended urgent interventions to improve access to healthy foods (such as home gardening projects) and promote healthy dietary habits (including nutrition education).


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Sara Benjamin-Neelon ◽  
Carter Allen ◽  
Brian Neelon

Abstract Objectives Infancy represents a critical period for growth and development, and food insecurity during this time may impact later health. Few previous studies have assessed food insecurity and obesity in young children in the US, and even fewer have targeted infants. Moreover, the ability of federal food assistance programs to affect this relation remains unclear. Methods We examined 666 infants in the US-based Nurture birth cohort. We conducted home visits when infants were 3, 6, 9, and 12 months. We measured household food insecurity via maternal report using the US Household Food Security Survey Module: Six-Item Short Form. We categorized infants as living in full, marginal, low, or very low food security households. We calculated infant body mass index (BMI) z-score from measured lengths and weights using World Health Organization reference standards. We documented participation in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) and Supplemental Nutrition Assistance Program (SNAP) at each home visit. We used repeated-measures linear regression models with imputed data to examine covariate-adjusted associations between household food security and BMI z-score throughout infancy. Results Nearly 70% of infants were black and 49% were female. At 3 months, 32.8% of infants were from households with low or very low food security. Infant BMI increased from months 3 to 12 in all food security groups (Figure). However, after adjustment for potential confounders, low household food insecurity (0.18; 95% CI 0.05, 0.32; P = 0.01) and very low household food insecurity (0.22; 95% CI 0.05, 0.38; P = 0.01) were associated with higher infant BMI z-score throughout infancy but marginal household food security was not (0.001; 95% CI −0.13, 0.13; P = 0.99). There was no evidence of effect modification by participation in either WIC (P = 0.36) or SNAP (P = 0.67). Conclusions Infants from food insecure households had higher BMIs throughout infancy, and this association was not attenuated by WIC or SNAP participation. About one-third of infants in this cohort were living in food insecure households, which raises substantial concern from both a public health and obesity prevention perspective. Funding Sources NIDDK, National Institutes of Health. Supporting Tables, Images and/or Graphs


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Jeanne Freeland-Graves ◽  
Mahsa Babaei ◽  
Prageet Sachdev

Abstract Objectives To examine the relationships between food security and prevalence and severity of periodontal disease in low-income women. Methods This cross-sectional study involved 220 women, 18–50 years of age, who were recruited from dental clinics and low-income households in Central Texas. On one visit, women completed a Demographic Survey and the United States Household Food Security Survey Module. Two trained dentists conducted dental screenings for evaluation of periodontal status, using two indices: Clinical Attachment Loss (CAL) and Bleeding on Probing (BOP) to discern severity of periodontitis. Multiple regression analysis was used to assess the effect of food insecurity on the status of periodontal disease, after adjustment for socioeconomic status. Results The mean age of participants was 38.13 ± 9.43 years. The majority were Hispanic, had completed a high school education, and had a mean income of <$25,000/year. Over half of the sample (54.55%) was food insecure, followed by marginally food secure (24.09%) and highly food secure (21.36%), based on cut off values of the Household Food Security Survey Module. Mean values for Clinical Attachment Loss and Bleeding on Probing were 1.742 ± 0.75 and 1.632 ± 2.23 respectively. These results indicated that the women exhibited periodontal disease, with stages of mild (56.83%), moderate (26.36%) and severe periodontitis (16.81%). Food insecurity was directly related to the severity of periodontal disease, as illustrated by the Clinical Attachment Loss (β-coefficient = 0.170, p value = 0.01) and Bleeding on Probing (β coefficient = 0.380, p value = 0.00), after adjustment for socioeconomic status. Conclusions Food insecure individuals appear to be at a great risk for periodontal disease. Whether this relationship is due to lack of food resources, improper dental equipment or hygiene, or nutrition knowledge will be explored as the study progresses. This health risk for periodontal disease should be incorporated into public health policies concerning food insecurity. Funding Sources Bess Heflin Centennial Professorship.


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