Investigating the Relationship between Food Insecurity and Fertility Preferences in Tanzania

DiClemente, Kira; Grace, Kathryn; Kershaw, Trace; Bosco, Elliott; Humphries, Debbie

doi:10.1007/s10995-020-03022-1

Cited by 15 publications

(17 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The fact that household food security and economic reliance on partner was significantly related to change in pregnancy intention among Nigerian women shows the devastating effects of the pandemic on socio-economic status. This finding is consistent with prior evidence in another SSA country [ 36 ]. Perhaps, fears that pregnancy will bring additional children and extra mouth to be fed makes people change their minds.…”

Section: Discussionsupporting

confidence: 94%

Social consequences of COVID-19 on fertility preference consistency and contraceptive use among Nigerian women: insights from population-based data

Akinyemi

Dipeolu

Adebayo

et al. 2022

Contracept Reprod Med

View full text Add to dashboard Cite

Background Emerging evidence from high income countries showed that the COVID-19 pandemic has had negative effects on population and reproductive health behaviour. This study provides a sub-Saharan Africa perspective by documenting the social consequences of COVID-19 and its relationship to fertility preference stability and modern contraceptive use in Nigeria. Method We analysed panel data collected by Performance Monitoring for Action in Nigeria. Baseline and Follow-up surveys were conducted before the COVID-19 outbreak (November 2019-February 2020) and during the lockdown respectively (May-July 2020). Analysis was restricted to married non-pregnant women during follow-up (n = 774). Descriptive statistics and generalized linear models were employed to explore the relationship between selected social consequences of COVID-19 and fertility preferences stability (between baseline and follow-up) as well as modern contraceptives use. Results Reported social consequences of the pandemic lockdown include total loss of household income (31.3%), food insecurity (16.5%), and greater economic reliance on partner (43.0%). Sixty-eight women (8.8%) changed their minds about pregnancy and this was associated with age groups, higher wealth quintile (AOR = 0.38, CI: 0.15-0.97) and household food insecurity (AOR = 2.72, CI: 1.23-5.99). Fertility preference was inconsistent among 26.1%. Women aged 30-34 years (AOR = 4.46, CI:1.29-15.39) were more likely of inconsistent fertility preference compared to 15-24 years. The likelihood was also higher among women with three children compared to those with only one child (AOR = 3.88, CI: 1.36-11.08). During follow-up survey, 59.4% reported they would feel unhappy if pregnant. This was more common among women with tertiary education (AOR = 2.99, CI: 1.41-6.33). The odds increased with parity. The prevalence of modern contraceptive use was 32.8%. Women aged 45-49 years (AOR = 0.24, CI: 0.10-0.56) were less likely to use modern contraceptives than those aged 15-24 years. In contrast, the odds of contraceptive use were significantly higher among those with three (AOR = 1.82, CI: 1.03-3.20), four (AOR = 2.45, CI: 1.36-4.39) and at least five (AOR = 2.89, CI: 1.25-6.74) children. Unhappy disposition towards pregnancy (AOR = 2.48, CI: 1.724-3.58) was also a significant predictor of modern contraceptive use. Conclusion Some social consequences of COVID-19 affected pregnancy intention and stability of fertility preference but showed no independent association with modern contraceptive use.

show abstract

Section: Discussionsupporting

confidence: 94%

Social consequences of COVID-19 on fertility preference consistency and contraceptive use among Nigerian women: insights from population-based data

Akinyemi

Dipeolu

Adebayo

et al. 2022

Contracept Reprod Med

View full text Add to dashboard Cite

show abstract

“…When using a 30-day time frame, the prevalence of household hunger was estimated to be 6.45% of households, representing a relatively low prevalence when compared with other international studies ( 18 , 19 , 22 , 23 ). But when using the 12-month time frame, the prevalence is estimated to be substantially higher, at 35.41% of households.…”

Section: Discussionmentioning

confidence: 73%

“…They include household characteristics and information about agricultural practices and problems. These have been widely used in food security research (6,(17)(18)(19)(20). The odds ratios are reported with 95% confidence intervals and an error level of 0.05.…”

Section: Methodsmentioning

confidence: 99%

Effects of the COVID-19 pandemic on food insecurity in El Salvador during 2020

Durán¹

2022

Revista Panamericana De Salud Pública

View full text Add to dashboard Cite

Objective. This study sought to quantify the prevalence of food insecurity among Salvadorian households, to identify the determinants of food insecurity and to explore the impact of the COVID-19 pandemic on food insecurity. Methods. A nationwide, representative random sample of 2358 households was used for this cross-sectional study. The Household Hunger Scale (HHS) was used to assess the prevalence of food insecurity during a 30-day period. For comparison, three items were used from the Household Food Insecurity Experience Scale (HFIES), which measures hunger occurring during a 12-month time frame. For determinant analysis, binary logistic regression was used for the HHS and ordered logistic regression for the HFIES. Results. The prevalence of food insecurity was 6.45% (152/2356) among Salvadorian households when the HHS was used, affecting 5.48% (129/2356) to a moderate degree and 0.98% (23/2356) to a severe degree. The prevalence significantly increased when the HFIES scale items were used, with 35.41% (835/2358) of households being affected, a figure closer to the national poverty level. Determinants of food insecurity according to the HHS included agricultural problems (P = 0.00, odds ratio [OR] =1.69), the household’s prepandemic income (P = 0.00, OR = 0.48) and higher educational levels (i.e. having a secondary education [P = 0.00, OR = 0.31], technical [P = 0.03, OR = 0.24] or university education [P = 0.00, OR = 0.05]). When using the HFIES, the determinants were similar (i.e. income, agricultural problems, educational level). In more than 94% (744/785) of households, participants reported that food insecurity was exacerbated by the COVID-19 pandemic. Conclusions. When compared with other relevant international studies, the prevalence of food insecurity identified using the HHS – only 6.45% – was low for El Salvador. However, when using the HFIES scale, the prevalence rose to 35.41% of households. Some determinants align with previous studies, namely income, educational level and agricultural problems. The COVID-19 pandemic appeared to have direct effects on food insecurity

show abstract

“…Due to limited access to electricity and mobile phones, many pregnancies from poor (and probably food-insecure) households were reported late during the pandemic and hence were not approached for screening and systematically excluded from the dataset. Moreover, amid the pandemic, pregnancy intendedness and number of incident pregnancies might have been selectively low in households experiencing food insecurity [90]. Finally, due to coronaphobia [91], some women refused to participate in screening during the pandemic.…”

Section: Discussionmentioning

confidence: 99%

Association of Household Food Insecurity with Nutritional Status and Mental Health of Pregnant Women in Rural Bangladesh

et al. 2021

View full text Add to dashboard Cite

Food insecurity may affect women’s health; however, pertinent research is scant among pregnant women. This study investigated the association of household food insecurity (HFI) with the nutritional status and mental health of 672 early-gestation (5–16 weeks) pregnant women with a singleton fetus, who participated in the screening activity of a community-based trial (NCT04868669) in Matlab, Bangladesh. Height (cm), weight (kg), body mass index (kg/m2), mid-upper arm circumference (MUAC) (cm), depression, anxiety, and stress were the outcomes studied. HFI was assessed using the Household Food Insecurity Access Scale. Women’s depression, anxiety, and stress were assessed using the Depression, Anxiety, and Stress Scales-21. Propensity score matching based weighted multivariable linear and logistic regression were used to evaluate the independent association of HFI with the outcomes. In adjusted models, pregnant women from food-insecure households in rural Matlab were on average 2.0 cm shorter (β = −2.0, 95% CI: −3.3, −0.7), 2.0 kg lighter (β = −2.0, 95% CI: −3.4, −0.7), and had 0.6 cm lower MUAC (β = −0.6, 95% CI: −1.1, −0.1) than their food-secure counterparts. HFI was associated with higher odds of depression (OR = 3.3, 95% CI: 1.8, 5.9), anxiety (OR = 6.1, 95% CI: 3.7, 10.0), and stress (OR = 4.8, 95% CI: 1.6, 14.2) among the women. Public health measures should focus on ensuring proper nutrition during the critical growth periods of life, pregnancy, and external environmental shocks, to mitigate the adverse effects of HFI on women’s health.

show abstract

Investigating the Relationship between Food Insecurity and Fertility Preferences in Tanzania

Cited by 15 publications

References 24 publications

Social consequences of COVID-19 on fertility preference consistency and contraceptive use among Nigerian women: insights from population-based data

Social consequences of COVID-19 on fertility preference consistency and contraceptive use among Nigerian women: insights from population-based data

Effects of the COVID-19 pandemic on food insecurity in El Salvador during 2020

Association of Household Food Insecurity with Nutritional Status and Mental Health of Pregnant Women in Rural Bangladesh

Contact Info

Product

Resources

About