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The effect of obesity on chronic diseases in USA: a flexible copula approach. Sci Rep 2023; 13:1831. [PMID: 36726019 PMCID: PMC9892574 DOI: 10.1038/s41598-023-28920-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 01/27/2023] [Indexed: 02/03/2023] Open
Abstract
We analyze the effect of obesity on the incidence of hypertension, hyperlipidemia and diabetes in USA using a health production theoretical framework along with a bivariate flexible semi-parametric recursive copula model that account for endogeneity. In this approach, the effects of control variables are flexibly determined using additive predictors that allow for a variety of effects. Our findings suggest that there exist a positive and significant effect of obesity on the prevalence of all chronic diseases examined. In particular, after endogeneity is accounted for, the probability of having hypertension, hyperlipidemia and diabetes for obese individuals are, respectively, 35%, 28% and 11% higher than those under the obesity threshold. These findings suggest that lowering obesity rates could lead to significant reductions in the morbidity and mortality associated with these diseases.
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Matavel C, Kächele H, Steinke J, Rybak C, Hoffmann H, Salavessa J, Sieber S, Müller K. Effect of passive solar drying on food security in rural Mozambique. Sci Rep 2022; 12:17154. [PMID: 36229492 PMCID: PMC9561633 DOI: 10.1038/s41598-022-22129-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 10/10/2022] [Indexed: 01/04/2023] Open
Abstract
Achieving food security in Mozambique is critical, since 80% of the population cannot afford an adequate diet. While increasing agricultural production is a necessary effort to address this challenge, inadequate post-harvest treatment leads to storage losses and quality degradation, with repercussions for food security. The use of solar drying is promoted as a solution to provide efficient and reliable access to food preservation that improves the food security situation in rural communities. However, there is a lack of clear evidence on how the use or access to solar drying affects food security. This study identifies the determinants of farmers' choice to use solar drying and evaluates the effect of a passive solar dryer on food security using survey data from 634 households. We allocated solar dryers to selected communities and all interested individuals belonging to these communities were eligible to use it. Propensity score matching and endogenous switching poisson regression are used to estimate the average effect. The use of solar drying with associated training significantly increases the food security status of participants by increasing household food availability, women's dietary diversity, and months of adequate household food provision and by decreasing the household food insecurity access scale.
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Affiliation(s)
- Custodio Matavel
- grid.433014.1Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374 Müncheberg, Germany ,grid.7468.d0000 0001 2248 7639Department of Agricultural Economics, Faculty of Life Sciences, Humboldt-Universität zu Berlin, Berlin, Germany ,grid.442451.20000 0004 0460 1022Faculty of Agrarian Sciences, Universidade Lúrio (Unilúrio), Campus Universitários de Unango Km 62, Sanga District, Niassa, Mozambique
| | - Harald Kächele
- grid.433014.1Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374 Müncheberg, Germany ,grid.461663.00000 0001 0536 4434Eberswalde University for Sustainable Development, Eberswalde, Germany
| | - Jonathan Steinke
- grid.433014.1Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374 Müncheberg, Germany ,grid.7468.d0000 0001 2248 7639Department of Agricultural Economics, Faculty of Life Sciences, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Constance Rybak
- grid.433014.1Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374 Müncheberg, Germany
| | - Harry Hoffmann
- grid.433014.1Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374 Müncheberg, Germany
| | - João Salavessa
- grid.442451.20000 0004 0460 1022Faculty of Health Sciences, Universidade Lúrio (Unilúrio), Nampula, Mozambique
| | - Stefan Sieber
- grid.433014.1Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374 Müncheberg, Germany ,grid.7468.d0000 0001 2248 7639Department of Agricultural Economics, Faculty of Life Sciences, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Klaus Müller
- grid.433014.1Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374 Müncheberg, Germany ,grid.7468.d0000 0001 2248 7639Department of Agricultural Economics, Faculty of Life Sciences, Humboldt-Universität zu Berlin, Berlin, Germany
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Shi P, Lee GY. Copula Regression for Compound Distributions with Endogenous Covariates with Applications in Insurance Deductible Pricing. J Am Stat Assoc 2022. [DOI: 10.1080/01621459.2022.2040519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Peng Shi
- Department of Risk and Insurance, Wisconsin School of Business, University of Wisconsin-Madison
| | - Gee Y. Lee
- Department of Statistics and Probability, Department of Mathematics, Michigan State University
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Marra G, Radice R, Zimmer DM. Estimating the binary endogenous effect of insurance on doctor visits by copula‐based regression additive models. J R Stat Soc Ser C Appl Stat 2020. [DOI: 10.1111/rssc.12419] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Zhang W, Wang J, Qian F, Chen Y. A joint mean-correlation modeling approach for longitudinal zero-inflated count data. BRAZ J PROBAB STAT 2020. [DOI: 10.1214/18-bjps416] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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