{"componentChunkName":"component---src-templates-post-query-tsx","path":"/research/early-life-mortality-and-height-in-indian-states/","result":{"pageContext":{"post":{"slug":"/research/early-life-mortality-and-height-in-indian-states/","title":"Early life mortality and height in Indian states","date":"Nov 01, 2014","timeToRead":1,"description":"This article advances the literature on the determinants of height by examining the role of early life mortality, including neonatal mortality, in India, a large developing country with a very short population.","body":"function _extends() { _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; return _extends.apply(this, arguments); }\n\nfunction _objectWithoutProperties(source, excluded) { if (source == null) return {}; var target = _objectWithoutPropertiesLoose(source, excluded); var key, i; if (Object.getOwnPropertySymbols) { var sourceSymbolKeys = Object.getOwnPropertySymbols(source); for (i = 0; i < sourceSymbolKeys.length; i++) { key = sourceSymbolKeys[i]; if (excluded.indexOf(key) >= 0) continue; if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue; target[key] = source[key]; } } return target; }\n\nfunction _objectWithoutPropertiesLoose(source, excluded) { if (source == null) return {}; var target = {}; var sourceKeys = Object.keys(source); var key, i; for (i = 0; i < sourceKeys.length; i++) { key = sourceKeys[i]; if (excluded.indexOf(key) >= 0) continue; target[key] = source[key]; } return target; }\n\n/* @jsxRuntime classic */\n\n/* @jsx mdx */\nvar _frontmatter = {\n  \"title\": \"Early life mortality and height in Indian states\",\n  \"date\": \"2014-11-01\",\n  \"template\": \"post\",\n  \"slug\": \"early-life-mortality-and-height-in-indian-states\",\n  \"postedLink\": \"https://riceinstitute.org/research/early-life-mortality-and-height-in-indian-states/\",\n  \"description\": \"This article advances the literature on the determinants of height by examining the role of early life mortality, including neonatal mortality, in India, a large developing country with a very short population.\",\n  \"tags\": \"Research, Maternal Health\",\n  \"banner\": \"\"\n};\nvar layoutProps = {\n  _frontmatter: _frontmatter\n};\nvar MDXLayout = \"wrapper\";\nreturn function MDXContent(_ref) {\n  var components = _ref.components,\n      props = _objectWithoutProperties(_ref, [\"components\"]);\n\n  return mdx(MDXLayout, _extends({}, layoutProps, props, {\n    components: components,\n    mdxType: \"MDXLayout\"\n  }), mdx(\"p\", null, \"Author: Diane Coffey\"), mdx(\"p\", null, \"Published in: \", mdx(\"em\", {\n    parentName: \"p\"\n  }, \"Economics & Human Biology\")), mdx(\"p\", null, mdx(\"a\", {\n    parentName: \"p\",\n    \"href\": \"https://github.com/riceinstitute/content/blob/release/research/coffey-2014-early-life-mortality-and-height-in-Indian-states.pdf\",\n    \"target\": \"_blank\",\n    \"rel\": \"noopener noreferrer\"\n  }, \"Download Paper\")), mdx(\"p\", null, \"Abstract:\"), mdx(\"p\", null, \"Height is a marker for health, cognitive ability and economic productivity. Recent research on the determinants of height suggests that postneonatal mortality predicts height because it is a measure of the early life disease environment to which a cohort is exposed. \"), mdx(\"p\", null, \"This article advances the literature on the determinants of height by examining the role of early life mortality, including neonatal mortality, in India, a large developing country with a very short population. It uses state level variation in neonatal mortality, postneonatal mortality, and pre-adult mortality to predict the heights of adults born between 1970 and 1983, and neonatal and postneonatal mortality to predict the heights of children born between 1995 and 2005. \"), mdx(\"p\", null, \"In contrast to what is found in the literature on developed countries, I find that state level variation in neonatal mortality is a strong predictor of adult and child heights. This may be due to state level variation in, and overall poor levels of, pre-natal nutrition in India.\"));\n}\n;\nMDXContent.isMDXComponent = true;","tags":[{"name":"Research","slug":"research"},{"name":" Maternal Health","slug":"maternal-health"}],"banner":null}}},"staticQueryHashes":["318001574","3787687951","3787687951"]}