Food insecurity and self-rated health in rural Nicaraguan women of reproductive age: a cross-sectional study

Pérez, Wilton; Contreras, Mariela; Peña, Rodolfo; Zelaya, Elmer; Persson, Lars‐Åke; Källestål, Carina

doi:10.1186/s12939-018-0854-5

Cited by 11 publications

(11 citation statements)

References 34 publications

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“…Sufficient availability of food is among the basic capabilities, which was further emphasized by our findings showing food insecurity as essential for well-being in the multidimensional analysis of poverty. This was also reflected in the association between low self-rated health and food insecurity in a previous study from our group using data from the same surveillance system (24). Further, participation in interventions, such as water installation, microcredit, and participation in educational activities, was more common in clusters with better welfare, confirming our earlier results that these interventions were associated with poverty reduction (16).…”

Section: Discussionsupporting

confidence: 87%

Assessing the Multiple Dimensions of Poverty. Data Mining Approaches to the 2004–14 Health and Demographic Surveillance System in Cuatro Santos, Nicaragua

Källestål

Blandón

Peña

et al. 2020

Front. Public Health

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We identified clusters of multiple dimensions of poverty according to the capability approach theory by applying data mining approaches to the Cuatro Santos Health and Demographic Surveillance database, Nicaragua. Four municipalities in northern Nicaragua constitute the Cuatro Santos area, with 25,893 inhabitants in 5,966 households (2014). A local process analyzing poverty-related problems, prioritizing suggested actions, was initiated in 1997 and generated a community action plan 2002-2015. Interventions were school breakfasts, environmental protection, water and sanitation, preventive healthcare, home gardening, microcredit, technical training, university education stipends, and use of the Internet. In 2004, a survey of basic health and demographic information was performed in the whole population, followed by surveillance updates in 2007, 2009, and 2014 linking households and individuals. Information included the house material (floor, walls) and services (water, sanitation, electricity) as well as demographic data (birth, deaths, migration). Data on participation in interventions, food security, household assets, and women's self-rated health were collected in 2014. A K-means algorithm was used to cluster the household data (56 variables) in six clusters. The poverty ranking of household clusters using the unsatisfied basic needs index variables changed when including variables describing basic capabilities. The households in the fairly rich cluster with assets such as motorbikes and computers were described as modern. Those in the fairly poor cluster, having different degrees of food insecurity, were labeled vulnerable. Poor and poorest clusters of households were traditional, e.g., in using horses for transport. Results displayed a society transforming from traditional to modern, where the forerunners were not the Källestål et al. Assessing Multiple Dimensions of Poverty richest but educated, had more working members in household, had fewer children, and were food secure. Those lagging were the poor, traditional, and food insecure. The approach may be useful for an improved understanding of poverty and to direct local policy and interventions.

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Section: Discussionsupporting

confidence: 87%

Assessing the Multiple Dimensions of Poverty. Data Mining Approaches to the 2004–14 Health and Demographic Surveillance System in Cuatro Santos, Nicaragua

Källestål

Blandón

Peña

et al. 2020

Front. Public Health

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“…Food insecurity is essential for wellbeing as shown in the multidimensional analysis of poverty. This was also reflected in the association between low self-rated health and food insecurity in a previous study from our group using data from the same surveillance system (21).…”

Section: Discussionsupporting

confidence: 56%

Assessing the multiple dimensions of poverty. Data mining approaches to the 2004-14 Health and Demographic Surveillance System in Cuatro Santos, Nicaragua

Källestål

Blandón²,

Peña

et al. 2019

Preprint

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24We aimed to describe multiple dimensions of poverty according to the capability 25 approach theory by applying data mining approaches to the Cuatro Santos Health 26 and Demographic Surveillance databases, Nicaragua. Four municipalities in northern 27 Nicaragua constitute the Cuatro Santos area, with 25,893 inhabitants in 5,966 28 households (2014). A local process analyzing poverty-related problems and 29 prioritizing suggested actions, was initiated 1997 based on a community action plan 30 2002-2015. Priority interventions were school breakfasts, environmental protection, 31 water and sanitation, preventive healthcare, home gardening, micro credits, technical 32 training, stipends for university education, and the use of Internet. In 2004, a survey 33 of basic health and demographic information was performed in the whole population 34 followed by surveillance updates in 2007, 2009, and 2014 linking households and 35 individuals by unique identifiers. Information included the house (floor, walls) and 36 services (water, sanitation, electricity) as well as demographic data (birth, deaths, 37 migration). Data on participation in interventions, on food security, household assets, 38 and women's self-rated health were collected in 2014. A K-means algorithm were 39 used to cluster the household data (54 variables). The poverty ranking of household 40 clusters using the unsatisfied basic needs index (UBN) variables changed when 41 including variables describing basic capabilities. The households in the fairly rich 42 cluster, having assets as motorbikes and computers were described as modern. 43 Those in the fairly poor cluster, having different degrees of food insecurity were 44 labeled vulnerable. Poor and poorest clusters of households were traditional e.g. in 45 using horses for transport. Results displayed a society transforming from traditional 46 to a modern, where the forerunners were not the richest but educated, had more 47 working members of household, fewer children and were food secure. Those lagging 3 48 were the poor, traditional and food insecure. The approach and results may be useful 49 for an improved understanding of poverty and to direct local interventions. 50 51 Key words: multidimensional poverty, capability approach, health and demographic 52 surveillance, data mining, K-means clustering, poverty alleviation 53 54 Word count abstract: 299, main text incl., tables: 5,729 55 4 56

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“…There are two categories of indicators of food insecurity. The first is based on the adequacy of food consumption, and the second is based on the severity of constrained food access [66]. In this study, the second category was used.…”

Section: Health Variables and Srhmentioning

confidence: 99%

Influence of Psychosocial Variables on the Health of People Living in Housing Exclusion

Bullón

Mayo

Esnaola

et al. 2020

IJERPH

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The aim of this study was to analyze the influence of some personal characteristics, health variables, and social support on the self-rated health of people in housing exclusion in Spain. For that purpose, we used the FOESSA Survey of Social Integration and Needs database, with a final sample of 1574 households. Being more educated and reporting a good life satisfaction stood out as the main factors preventing worse health status. Furthermore, results showed that being female, experiencing poverty-related food insecurity, not having health insurance, experiencing widowhood or partner bereavement, and having caring responsibilities for others or having a disabled person in the household are associated with increased reporting of regular or poor health. On the other hand, being young, having a diagnosed/long-term illness, and a big household size are preventive factors for good health. These results allowed identifying risk and prevention factors to inform interventions to improve the health of those living in housing exclusion. Promoting better education levels, social support, and overall life satisfaction could be important to improve health in this population. Developing social support policies for caring responsibilities and food insecurity must be a priority to improve the health of people living in housing exclusion.

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Food insecurity and self-rated health in rural Nicaraguan women of reproductive age: a cross-sectional study

Cited by 11 publications

References 34 publications

Assessing the Multiple Dimensions of Poverty. Data Mining Approaches to the 2004–14 Health and Demographic Surveillance System in Cuatro Santos, Nicaragua

Assessing the Multiple Dimensions of Poverty. Data Mining Approaches to the 2004–14 Health and Demographic Surveillance System in Cuatro Santos, Nicaragua

Assessing the multiple dimensions of poverty. Data mining approaches to the 2004-14 Health and Demographic Surveillance System in Cuatro Santos, Nicaragua

Influence of Psychosocial Variables on the Health of People Living in Housing Exclusion

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