Prevalence and correlates of food insecurity among Lebanese households with children aged 4–18 years: findings from a national cross-sectional study

Jomaa, Lamis; Naja, Farah; Kharroubi, Samer A.; Hwalla, Nahla

doi:10.1017/s1368980018003245

Cited by 41 publications

(48 citation statements)

References 38 publications

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“…Information related to FI was collected using the Household Food Insecurity Access Scale (HFIAS). This tool was developed by USAID's Food and Nutrition Technical Assistance (FANTA) group in early 2000 [33] and it has been validated in Pakistan and other LMICs [20,34]. HFIAS has 9 core questions regarding food intake occurring over the last four weeks (30 days).…”

Section: Methodsmentioning

confidence: 99%

“…Adolescents make 24% of Pakistan's population but there are no data on FI estimates of adolescents and its socio-demographic factors [15]. Literature reports that 16-17% adolescents are food insecure in US and Canada [16,17] whereas in developing countries like Ethiopia, Lebanon, and Venezuela 50% of the adolescents are found food insecure [18][19][20]. Belchew et al found the place of residence, lower socio-economic status, dependency ratio, household FI and gender as social determinants of FI among Ethiopian adolescents [18].…”

Section: Introductionmentioning

confidence: 99%

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Adolescent food insecurity in rural Sindh, Pakistan: a cross-sectional survey

et al. 2020

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Background: Food insecurity (FI) is alarmingly high in developing countries including Pakistan. A quarter of Pakistan's population consists of adolescents yet there is no information on their experience of FI. FI at adolescent age have long term effect on mental and physical health hence we aimed to determine the prevalence of food insecurity (FI) among adolescents and compare it with household FI, and assess social determinants of adolescent FI. Methods: A cross-sectional survey on 799 households with unmarried adolescents was conducted from September 2015 to June 2016 in three union councils of Hyderabad, Pakistan. Unmarried 10-19 years old girls and boys were interviewed regarding their FI status using Household Food Insecurity Assessment Scale (HFIAS). Household-level FI was also assessed by interviewing mothers of adolescents, and it was compared with adolescent's FI. Association of adolescent's FI with socio-demographic determinants was explored through Cox regression using STATA version 14.0. and prevalence ratios were estimated. Results: FI was found among 52.4% of the adolescents compared to 39% of the households. Thirty percent of the adolescents were food insecure within the food secure households. Female adolescents were found to be less food insecure (Adjusted Prevalence Ratio (APR) 0.4 95% CI [0.3, 0.5]) compared to males. Social determinants like socioeconomic status (SES), crowding index or education of parents were not associated with adolescents' FI. Conclusion: Half of the adolescents were found to be food insecure which raises concerns regarding their health in the long run. Gender is an important social determinant of FI among adolescents which suggests an in-depth exploration of social dynamics of adolescent FI. We recommend the mixed-methods study to develop contextually relevant interventions to reduce FI among this group and improve their health status.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adolescent food insecurity in rural Sindh, Pakistan: a cross-sectional survey

et al. 2020

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“…To our knowledge, no study has been conducted to evaluate the association between HFI and depression among the Iranian pregnant women. Iran is located in the Middle East and North Africa (MENA) region, with a severe food insecurity prevalence of 11%, this country has been recognized as one of the most food-insecure regions in the world (6). Over the last 3 decades, Iran has made a remarkable improvement in reducing food insecurity, so that it has the greatest reduction rate in global hunger index ranking in the Middle East (20).…”

mentioning

confidence: 99%

The Relationship between Household Food Insecurity and Depressive Symptoms among Pregnant Women: A Cross Sectional Study

Khoshgoo¹,

Eslami²,

al-hosseini³

et al. 2020

IJPS

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Objective: There is growing evidence suggesting that household food insecurity (HFI) is associated with adverse outcomes on mental health; however, limited evidence exists for pregnant women. This study was conducted to determine the relationship between HFI and depressive symptoms among a sample of pregnant women. Method: This cross sectional study was performed on 394 pregnant women referring to the health centers located in Qom, Iran, from October 2017 to March 2019. HFI was evaluated using an 18-item US Household Food Security Survey Module. The Beck Depression Inventory-II questionnaire was applied to determine the severity of depressive symptoms. Logistic regression analysis was used to determine the factors associated with elevated depressive symptoms in the study population. Results: The mean (± standard deviation) age of the study population was 28.59 ± 7.28 years. Almost 48% of participants were food insecure, and 37% experienced elevated levels of depressive symptoms during pregnancy. The prevalence of elevated depressive symptoms was significantly higher in food-insecure (P < 0.001) and unemployed (P = 0.02) women, while it was significantly lower in women with higher education levels (P < 0.001). In the adjusted model, it was revealed that HFI was significantly associated with the higher likelihood of having elevated depressive symptoms (OR = 3.31, 95% CI = 2.07, 5.29), while the higher level of education was negatively associated with the levels of depressive symptoms (OR = 0.40, 95% CI = 0.20, 0.79). Conclusion: HFI was positively associated with the severity of depressive symptoms in a sample of pregnant women. Further studies are needed to confirm this finding. Meanwhile, routine screening of HFI for all pregnant women in the community health centers is recommended.

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“…Middle Eastern populations have a high disease burden, which suggests a reduction in routine health service utilization results in increased mortality, a trend expected to hold true for COVID-19 [ 11 , 12 ]. Food insecurity poses a significant public health concern in countries with high refugee per capita concentration, such as Lebanon and Jordan [ 18 - 20 ]. Refugee populations are particularly vulnerable to COVID-19 as they are often concentrated in densely populated camps with poor hygiene measures and fragmented access to health care [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

SARS-CoV-2 Surveillance in the Middle East and North Africa: Longitudinal Trend Analysis

Post¹,

Marogi²,

Moss³

et al. 2021

J Med Internet Res

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Background The COVID-19 pandemic has disrupted the lives of millions and forced countries to devise public health policies to reduce the pace of transmission. In the Middle East and North Africa (MENA), falling oil prices, disparities in wealth and public health infrastructure, and large refugee populations have significantly increased the disease burden of COVID-19. In light of these exacerbating factors, public health surveillance is particularly necessary to help leaders understand and implement effective disease control policies to reduce SARS-CoV-2 persistence and transmission. Objective The goal of this study is to provide advanced surveillance metrics, in combination with traditional surveillance, for COVID-19 transmission that account for weekly shifts in the pandemic speed, acceleration, jerk, and persistence to better understand a country’s risk for explosive growth and to better inform those who are managing the pandemic. Existing surveillance coupled with our dynamic metrics of transmission will inform health policy to control the COVID-19 pandemic until an effective vaccine is developed. Methods Using a longitudinal trend analysis study design, we extracted 30 days of COVID-19 data from public health registries. We used an empirical difference equation to measure the daily number of cases in MENA as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel data model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R. Results The regression Wald statistic was significant (χ25=859.5, P<.001). The Sargan test was not significant, failing to reject the validity of overidentifying restrictions (χ2294=16, P=.99). Countries with the highest cumulative caseload of the novel coronavirus include Iran, Iraq, Saudi Arabia, and Israel with 530,380, 426,634, 342,202, and 303,109 cases, respectively. Many of the smaller countries in MENA have higher infection rates than those countries with the highest caseloads. Oman has 33.3 new infections per 100,000 population while Bahrain has 12.1, Libya has 14, and Lebanon has 14.6 per 100,000 people. In order of largest to smallest number of cumulative deaths since January 2020, Iran, Iraq, Egypt, and Saudi Arabia have 30,375, 10,254, 6120, and 5185, respectively. Israel, Bahrain, Lebanon, and Oman had the highest rates of COVID-19 persistence, which is the number of new infections statistically related to new infections in the prior week. Bahrain had positive speed, acceleration, and jerk, signaling the potential for explosive growth. Conclusions Static and dynamic public health surveillance metrics provide a more complete picture of pandemic progression across countries in MENA. Static measures capture data at a given point in time such as infection rates and death rates. By including speed, acceleration, jerk, and 7-day persistence, public health officials may design policies with an eye to the future. Iran, Iraq, Saudi Arabia, and Israel all demonstrated the highest rate of infections, acceleration, jerk, and 7-day persistence, prompting public health leaders to increase prevention efforts.

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Prevalence and correlates of food insecurity among Lebanese households with children aged 4–18 years: findings from a national cross-sectional study

Cited by 41 publications

References 38 publications

Adolescent food insecurity in rural Sindh, Pakistan: a cross-sectional survey

Adolescent food insecurity in rural Sindh, Pakistan: a cross-sectional survey

The Relationship between Household Food Insecurity and Depressive Symptoms among Pregnant Women: A Cross Sectional Study

SARS-CoV-2 Surveillance in the Middle East and North Africa: Longitudinal Trend Analysis

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