Association between economic growth and early childhood undernutrition: evidence from 121 Demographic and Health Surveys from 36 low-income and middle-income countries

Vollmer, Sebastián; Harttgen, Kenneth; Subramanyam, Malavika A.; Finlay, Jocelyn E.; Klasen, Stephan; Subramanian, S. V.

doi:10.1016/s2214-109x(14)70025-7

Cited by 164 publications

(144 citation statements)

References 18 publications

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“…While empirical evidence of the role of economic growth for child nutrition is mixed (Smith & Haddad, 2002;Heady, 2013;Vollmer et al, 2014), most cross-country studies suggest a negative relationship between growth and undernutrition. To control for possible effects of economic growth, we use per capita gross domestic product (GDP) expressed in 2005 international dollars (adjusted for purchasing power parity, PPP) from WDI (World Bank, 2014).…”

Section: (C) Control Variablesmentioning

confidence: 99%

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The nutrition transition and indicators of child malnutrition

Kimenju

Qaim

2016

Food Sec.

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Abstract. We analyze how the nutrition transition affects child malnutrition in developing countries. It is often assumed that the nutrition transition affects child weight but not child growth, which could be one reason why child underweight decreases faster than child stunting.But these effects have hardly been analyzed empirically. Our cross-country panel regressions show that the nutrition transition reduces child underweight, while no consistent effect on child overweight is found. Against common views, our results also suggest that the nutrition transition reduces child stunting. Further research is required to confirm these findings.Keywords: Nutrition transition, malnutrition, stunting, underweight, obesity JEL codes: I15, O10, O13 AcknowledgementThis research was financially supported by the German Research Foundation (DFG). 1 The Nutrition Transition and Indicators of Child MalnutritionAbstract. We analyze how the nutrition transition affects child malnutrition in developing countries. It is often assumed that the nutrition transition affects child weight but not child growth, which could be one reason why child underweight decreases faster than child stunting.But these effects have hardly been analyzed empirically. Our cross-country panel regressionsshow that the nutrition transition reduces child underweight, while no consistent effect on child overweight is found. Against common views, our results also suggest that the nutrition transition reduces child stunting. Further research is required to confirm these findings.

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Section: (C) Control Variablesmentioning

confidence: 99%

“…Second, the availability of anthropometric data is much better for women than for men. Many surveys include measurements for women of child-bearing age, but not for other adults in the household (Vollmer et al, 2014). We use data from DHS (ICF International, 2013).…”

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confidence: 99%

The nutrition transition and indicators of child malnutrition

Kimenju

Qaim

2016

Food Sec.

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“…Hal inilah menyebabkan ketidakmerataan pada masyarakat dan berdampak pada kesehatan kelompok rentan, salah satunya balita. 21 Terdapat lima faktor yang diperkirakan dapat menentukan prioritas dan kecukupan alokasi pembiayaan bidang kesehatan, yaitu jumlah penerimaan daerah yang berasal dari pemerintah pusat dan daerah yang tercantum dalam APBD, skala prioritas bidang kesehatan di mata para pimpinan daerah, 10,22 kemampuan dinas kesehatan dalam melakukan advocay, kemampuan dinas kesehatan untuk menyusun rencana anggaran yang baik, dan kemampuan dinas kesehatan menyajikan informasi alur pendanaan kesehatan daerah termasuk informasi sumber-sumber dana yang ada sampai bagaimana penggunaan dana tersebut terhadap pencapaian program-program kesehatan. 10,20,23 Sebuah studi yang menggunakan data 121 survei yang melibatkan 36 negara berpendapatan rendah dan berpendapatan menengah menyebutkan bahwa pertumbuhan makro-ekonomi memiliki hubungan yang lemah atau bahkan tidak ada dalam hal kaitannya dengan balita pendek (stunting), berat rendah (underweight) dan gizi buruk (wasting).…”

Section: Gambar 2 Distribusi Prevalensi Gizi Buruk Kabupaten/kota DIunclassified

“…Fakta yang ditemukan meliputi pendapatan yang meningkat belum dipastikan terdistribusi dengan merata, serta dimanfaatkan dengan memperbaiki status gizi maupun untuk membangun fasilitas publik yang terkait dengan peningkatan status gizi balita. 22 Pada kenyataannya, selain besaran dana kesehatan, persentasenya terhadap total pendapatan maupun total belanja, hal yang lebih penting adalah pemanfaatan dana dengan efisien dan efektif. Dana-dana kesehatan yang besar tidak secara otomatis dapat meningkatkan derajat kesehatan.…”

Section: Gambar 2 Distribusi Prevalensi Gizi Buruk Kabupaten/kota DIunclassified

Pendapatan Daerah, Pembiayaan Kesehatan, dan Gizi Buruk pada Balita: Studi Korelasi Tingkat Kabupaten/Kota

Choirunisa

Adisasmita

2014

Kesmas: National Public Health Journal

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AbstrakPendanaan kesehatan merupakan salah satu faktor penting dalam memengaruhi derajat kesehatan, termasuk salah satu masalah gizi pada balita yang disebut gizi buruk. Oleh karena itu, penelitian ini bertujuan mendeskripsikan pendapatan daerah dan pembiayaan kesehatan serta korelasinya dengan gizi buruk pada balita di tingkat kabupaten/kota di Indonesia tahun 2007. Penelitian ini merupakan studi ekologi/korelasi. Data pendapatan daerah dan pembiayaan kesehatan didapat dari Kementerian Keuangan, sedangkan data gizi buruk menggunakan data Riset Kesehatan Nasional tahun 2007. Sebanyak 250 kabupaten/kota yang diteliti dengan tidak mengikutsertakan kabupaten/kota yang datanya tidak lengkap atau tidak valid. Secara nasional, hanya persentase pendapatan asli daerah (PAD) per total pendapatan yang berkorelasi dengan gizi buruk, meskipun korelasinya lemah (r = 0,22). Berdasarkan kawasan di Indonesia, Kawasan Indonesia Barat dan Kawasan Indonesia Timur menunjukkan persentase PAD per total pendapatan berkorelasi lemah dengan gizi buruk (r = 0,20 dan r = 0,53). Terlihat kecenderungan bahwa semakin tinggi persentase pendapatan daerah dan pembiayaan kesehatan, semakin rendah persentase gizi buruknya. Korelasi antara pendapatan daerah, pembiayaan kesehatan dan masalah status gizi tidak dapat diabaikan. Data yang lebih lengkap dan valid diperlukan untuk dikembangkan penelitian selanjutnya. Kata kunci: Gizi buruk, pembiayaan kesehatan, pendapatan daerah AbstractHealth financing is one of the factors which contribute important role in influencing health status, including nutritional problem among children under five, called severely wasted. Therefore, the aim of this study was to describe districts income and health financing and examine it correlations with the prevalence of severely wasted among children under 5 years at regencies/municipalities level in Indonesia in 2007. This research was an ecological study. Data on revenue and health financing were obtained from Ministry of Finance, and severely wasted data were obtained from the Indonesian Basic Health Research (Riskesdas) 2007. There are 250 regencies/municipalities were being objects of this research, while the others were excluded due to incomplete/missing or invalid data. Result shows nationally, only the percentage of local revenue by total district income had correlation with severely wasted, although it is weak (r = 0,22). By regions, in the Western Region Indonesia and the Eastern Region Indonesia, those variable had weak correlation with severely wasted (r = 0,20 and r = 0,53). The graphics trend shows higher percentage of local revenue and health financing, related to lower number of the prevalence of severely wasted. The correlation between district income and health financing for poor nutritional status cannot be ruled out. More valid and complete data on district income and health financing is needed for further research.

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“…Further interventions to ensure equitable distribution of the world's food resources and maximizing nutrition opportunities for all are required. 6 In this issue of the journal, we include a number of nutrition studies related to public health in our region. The review of the burden of disease in Vietnam by Nhung and colleagues found that 71% of the disease burden is caused by noncommunicable diseases, with nutrition as the most important risk factor.…”

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confidence: 99%