Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Jan;35(1):e23806.
doi: 10.1002/ajhb.23806. Epub 2022 Sep 27.

When the flood passes, does health return? A short panel examining water and food insecurity, nutrition, and disease after an extreme flood in lowland Bolivia

Affiliations

When the flood passes, does health return? A short panel examining water and food insecurity, nutrition, and disease after an extreme flood in lowland Bolivia

Asher Y Rosinger et al. Am J Hum Biol. 2023 Jan.

Abstract

Objectives: Flooding is the most frequent extreme-weather disaster and disproportionately burdens marginalized populations. This article examines how food and water insecurity, blood pressure (BP), nutritional status, and diarrheal and respiratory illnesses changed during the 2 months following a historic flood in lowland Bolivia.

Methods: Drawing on longitudinal data from Tsimane' forager-horticulturalist (n = 118 household heads; n = 129 children) directly after a historic 2014 flood and ~2 months later, we use fixed effects linear regression and random effects logistic regression models to test changes in the markers of well-being and health over the recovery process.

Results: Results demonstrated that water insecurity scores decreased significantly 2 month's postflood, while food insecurity scores remained high. Adults' systolic and diastolic BP significantly declined 2 months after the flood's conclusion. Adults experienced losses in measures of adiposity (BMI, sum of four skinfolds, waist circumference). Children gained weight and BMI-for-age Z-scores indicating buffering of children by adults from food stress that mainly occurred in the community closer to the main market town with greater access to food aid. Odds of diarrhea showed a nonsignificant decline, while cough increased significantly for both children and adults 2 months postflood.

Conclusions: Water insecurity and BP improved during the recovery process, while high levels of food insecurity persisted, and nutritional stress and respiratory illness worsened. Not all indicators of well-being and health recover at the same rate after historic flooding events. Planning for multiphase recovery is critical to improve health of marginalized populations after flooding.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest

The authors report no conflicts of interest.

Figures

Figure 1:
Figure 1:
Kernel density changes in A) water insecurity and B) food insecurity score distributions at the end of the flood and two months post flood among Tsimane’ household heads. Notes: Low (0–3), medium (4–6), and high (7–9) scores for water and food insecurity. 124 adults (219 observations) measured across the two survey waves.
Figure 2:
Figure 2:
Predicted mean water and food insecurity and 95% confidence intervals among Tsimane’ household heads. Notes: Generated using marginal standardization from fixed effects regression adjusting for covariates from Table 2.
Figure 3:
Figure 3:
Predicted mean systolic and diastolic blood pressure and 95% confidence intervals among Tsimane’ household heads. Notes: Generated using marginal standardization from fixed effects regression adjusting for covariates from Table 3.
Figure 4:
Figure 4:
Predicted probability of diarrhea and 95% confidence intervals among Tsimane’ A) children and B) adults. Notes: Generated using marginal standardization from random effects regression models 1 and 2 adjusting for covariates from Table 6.
Figure 5:
Figure 5:
Predicted probability of cough and 95% confidence intervals among Tsimane’ A) children and B) adults. Notes: Generated using marginal standardization from random effects regression adjusting for covariates from Table 6.

Similar articles

Cited by

References

    1. Akukwe TI, Oluoko-Odingo AA, & Krhoda GO (2020). Do floods affect food security? A before-and-after comparative study of flood-affected households’ food security status in South-Eastern Nigeria. Bulletin of Geography. Socio-economic Series, 47, 115–131.
    1. Alderman K, Turner LR, & Tong S. (2012). Floods and human health: A systematic review. Environment International, 47, 37–47. - PubMed
    1. Allison PD (2009). Fixed effects regression models: SAGE publications.
    1. Barbeau DN, Grimsley LF, White LE, El-Dahr JM, & Lichtveld M. (2010). Mold Exposure and Health Effects Following Hurricanes Katrina and Rita. Annual Review of Public Health, 31, 165–178. - PubMed
    1. Bethancourt HJ, Leonard WR, Tanner S, Schultz AF, & Rosinger AY (2019). Longitudinal Changes in Measures of Body Fat and Diet Among Adult Tsimane’ Forager-Horticulturalists of Bolivia, 2002–2010. Obesity, 27, 1347–1359. - PubMed

Publication types