Prevalence of food insecurity and related factors among slum households in Kerman, south of Iran

Food insecurity and its contributing determinants among rural households in the south-western region of Bangladesh, 2021: A cross-sectional study

Introduction

The onset of the COVID-19 pandemic has disrupted food access, resulting in substantial consequences for food insecurity and contributing to adverse individual and public health outcomes. To comprehensively evaluate these challenges and grasp their implications for food security, this study aimed to evaluate the contributing determinants of food insecurity among rural households in the southwestern region of Bangladesh.

Study design

A cross-sectional study was conducted using a validated questionnaire in selected 310 rural household respondents from the southwestern region of Bangladesh.

Methods

Household food insecurity status was the outcome variable for the analysis. Multinomial logistic regression analysis was used to explore and predict risk factors correlated with food insecurity among southwestern Bangladeshi households.

Results

We found that 59 % and 27.5 % of households were suffering from moderate food insecurity and severe food insecurity, respectively. The multinomial regression model revealed that respondents residing in Kusthia (RRR = 5.56 CI:2.67-8.4 and RRR = 6.65, CI:3.37-9.22) aged between 30 and 40 years (RRR = 2.32, 95 % CI:1.84-3.77 and RRR = 1.87, 95 % CI:1.48-3.97) and 40-50 years (RRR = 1.86 95 % CI:1.46-3.82 and RRR = 1.95, 95 % CI:1.75-3.26) were significantly associated with mild-to-moderate and severe food insecurity. Respondents with a monthly family income of <58.96 USD (3.38 times and 2.18 times), had ≥5 family members (2.68 times and 1.89 times), and had poor income during the pandemic (4.25 times and 2.75 times) more likely to be moderate and severe food insecure.

Conclusion

The results emphasized that during the COVID-19 lockdown in Bangladesh, rural households faced diverse levels of food insecurity, ranging from moderate to severe. It suggests that efforts to raise awareness and implement support strategies for those at higher risk should not only focus on income but also consider additional factors such as family size, adults aged 30-40 years, and occupation.

Pattern of weight gain in pregnant women in slum areas of Hamadan using multilevel ordinal regression

BACKGROUND

Adequate gestational weight gain (GWG) is an important factor for maternal and fetal health. This is especially important in low-income and slum areas due to limited access to health services and malnutrition. Thus, the purpose of this study is to evaluate the pattern of GWG changes in the slum areas of Hamadan in Iran.

METHODS

In this longitudinal study, the study sample consisted of 509 pregnant women who referred to nine health care clinics in the slum areas of Hamadan. Women's weight gain based on the recommended GWG by U.S. Institute of Medicine (IOM) was divided into three categories: Inadequate weight gain, Adequate weight gain, and Excessive weight gain. In order to evaluate the trend of GWG, a multi-level ordinal model was used.

RESULTS

According to pre-pregnancy BMI, a little more than half people (56.6%) were overweight or obese. 85.4% women in the first trimester and 49.1% in the second trimester did not have adequate GWG, but in the third trimester (38.9%) had adequate GWG. Based on multivariate analysis, pre- pregnancy BMI has a significant effect on the odds of inadequate GWG (P-value = 0.021); with one unit increase in pre-pregnancy BMI, the odds of inadequate GWG grows by 1.07 times compared to adequate and excessive GWG.

CONCLUSIONS

In general, women did not have adequate weight gain in the first and second trimesters.Thus, designing appropriate interventions to achieve optimal GWG seems to be necessary in slums.

Household food insecurity and associated factors in the Northeast of Iran: a cross-sectional study : Household food security in Northern Iran

BACKGROUND

Food Insecurity (FI) is a global health concern. For the first time, this study evaluated households' food insecurity and factors related to it in Golestan province, North of Iran.

METHODS

This cross-sectional study was conducted on 5129 randomly selected households in the Golestan Province in 2016. Sociodemographic characteristics, including age, ethnicity, household size, education level, and occupation status, were collected via interview. The prevalence and severity of food insecurity were identified by the Household Food Insecurity Access Scale (HFIAS), whose scores are between 0 and 27, with larger values indicating more severe food insecurity. The prevalence of food insecurity based on the geographical area was presented using GIS.

RESULTS

Out of 5129 households, 2216 (43.21%) had food security, and 2913 (56.79%) households had food insecurity, with a Mean ± SD HFIAS score of 4.86 ± 5.95. Out of 2913 households with FI, 1526 (52.39%), 956 (32.82%), and 431 (14.79%) had mild, moderate, and severe food insecurity, respectively. Among 14 regions of the province, three regions had the most cases of food insecurity. Food insecurity (moderate or severe) was significantly associated with mothers as the household head (adjusted OR = 1.67, 95% CI: 1.03-2.70) and lower education level of the household head.

CONCLUSION

The prevalence of household food insecurity in the Golestan Province is higher than the national average. Factors such as literacy, employment status, and gender of the household head can be significantly associated with food insecurity.

Determinants and consequences of food insecurity in families having children under the age of 2 years

Background: Today, food insecurity is recognized as an important public health problem that can have detrimental effects on families. Aim: The aim of this study was to assess the determinants and consequences of food insecurity in families having children under the age of 2 years. Method: In this cross-sectional study, 307 mothers and their children under the age of 2 years were selected by stratified random sampling. Demographic and socioeconomic data were collected by completing questionnaires through face-to-face interview. Household food insecurity (HFI) status was determined using the United States Department of Agriculture (USDA) household food security questionnaire. Results: Based on the results, 67.4% of families were high food secure. Low and very low food security was 25.7% and 6.9%, respectively. House size (Beta = -0.019, 95% CI: -0.029, -0.009), father's job (Beta = -4.758, 95% CI:-6.777, -2.738), father education (Beta = -0.370, 95% CI: -0.717, -0.023), and economic status (Beta = -0.628, 95% CI: -0.809, -0.448) were significantly related to the USDA total food insecurity score (p < 0.05). Regression analysis showed that children birth weight, father's body mass index (BMI), and mother's waist circumference had a significant positive correlation with weight for age (Z-score) of children. Children's birth weight, father's BMI, and HFI status had significant and positive correlation with weight for length (Z-score). Moreover, the significant association between children's birth height, mother's BMI, and mother's waist circumference with length for age (Z-score) were observed (p < 0.05). Conclusion: We found the father's job was the most effective factor in food insecurity and economic status of the family was in the second place. Also, HFI had a relationship with weight status of children under the age of 2 years.

Prevalence of household food insecurity among a healthy Iranian population: A systematic review and meta-analysis

BACKGROUND

Food security is a fundamental human right that must be upheld to preserve excellent general welfare, and mental, physical, and social health. However, according to the United Nations Food and Agriculture Organization (FAO) report in 2020, the level of food insecurity in the world is increasing.

OBJECTIVE

Determining the prevalence of food insecurity in Iran will be beneficial for Iran and other low-middle-income countries.

METHODS

We searched both English and Persian (Iranian) databases including PubMed, Scopus, Web of Science, Google Scholar, SID, Irandoc, Magiran, Civilica, and Iranian Medical Sciences Theses System from 01 January 1990 to 01 February 2022. Observational studies that reported the prevalence of household food insecurity among a healthy Iranian population and assessed food insecurity at the individual or household level using validated questionnaires were included.

RESULTS

One hundred six studies and/or theses with a total of 152, 300 participants met the review criteria. Our analyses demonstrated that the prevalence of food insecurity among the healthy Iranian population was 55.9% (95% CI: 52.6-59.2%) and the highest prevalence of food insecurity was in the western regions with 64.8% (95% CI: 57.7-72.0%). Subgroup analyses showed that food insecurity among women at 51.3% (95% CI: 45.1-57.6%) and rural inhabitants at 66.1% (95% CI: 58.8-73.4%) was significantly higher than men at 47.8% (95% CI: 41.8-53.8%) and urban residents at 47.1% (95% CI: 44.1-50.0%), respectively. Among the age groups, the highest prevalence of food insecurity was in adults at 56.5% (95% CI: 51.7-61.2%).

CONCLUSION

The prevalence of food insecurity in a healthy Iranian population was higher than the global average. Women, rural residents, and residents of the western regions of Iran had a higher prevalence of food insecurity. These groups should be prioritized in programs to reduce the prevalence of food insecurity in Iran.

SYSTEMATIC REVIEW REGISTRATION

www.crd.york.ac.uk/PROSPERO, identifier: CRD42022328473.

The association of food insecurity and cardiometabolic risk factors was independent of body mass index in Iranian women

Background

Investigations on food insecurity have shown that food insecurity is inversely associated with health. We examined the association of food insecurity and cardiometabolic risk factors in women living in Shiraz, Iran.

Methods

The cross-sectional study was performed on 190 females. Food insecurity was assessed by Household Food Insecurity Access Scale. Cardiometabolic risk factors including anthropometric characteristics, blood pressure, and serum glucose and lipids were measured. Metabolic syndrome score was calculated according to the criteria described for Iranian adults. The association of food insecurity and cardiometabolic risk factors was assessed by linear regression.

Results

The prevalence of food security, and mild, moderate, and severe food insecurity was 42.6%, 40.5%, 15.8%, and 1.1%, respectively. Cardiometabolic risk factors worsened with increasing severity of food insecurity. Among the risk factors, body mass index (BMI) had the strongest association with food insecurity. After controlling demographic factors and BMI, fasting blood glucose, triglycerides, total, LDL, and HDL cholesterols, and metabolic syndrome score still showed significant associations with food insecurity (P < 0.01) but systolic and diastolic blood pressure were no longer associated with food insecurity after adjustment for BMI.

Conclusion

Overall, although BMI was strongly associated with food insecurity, cardiometabolic risk factors including blood glucose, triglycerides, total, HDL, and LDL cholesterols, and metabolic syndrome score were associated with food insecurity independent of BMI, suggesting that other factors such as lifestyle and diet may have contributed to the exacerbated cardiometabolic risk in food insecure participants of this study. Future studies need to clarify underlying factors in the association of food insecurity and cardiometabolic risk factors.