2014
DOI: 10.1093/ije/dyu193
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Elevated levels of protein in urine in adulthood after exposure to the Chinese famine of 1959–61 during gestation and the early postnatal period

Abstract: Severe undernutrition during gestation and the early postnatal period may have long-term effects on levels of proteinuria in humans, but the effect sizes may be small.

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Cited by 39 publications
(52 citation statements)
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“…Meanwhile, we can also rely on the famine severity across regions to identify the variation of famine exposure in the same birth cohorts. The detailed rationale of using this method to infer the causal effect of famine was explained elsewhere (10) and was broadly used in Chinese famine studies (13,23,25,28) . Logit regression models with the DID estimators were fitted as the following:…”
Section: Analytic Approachmentioning
confidence: 99%
“…Meanwhile, we can also rely on the famine severity across regions to identify the variation of famine exposure in the same birth cohorts. The detailed rationale of using this method to infer the causal effect of famine was explained elsewhere (10) and was broadly used in Chinese famine studies (13,23,25,28) . Logit regression models with the DID estimators were fitted as the following:…”
Section: Analytic Approachmentioning
confidence: 99%
“…4,5 The 1959-1961 Chinese Great Famine lasted for 3 years and affected the entire country. 6 It provides an unparalleled opportunity to study the impact of long-term extreme food shortage during different developmental stages on depression risk in late life. Analysis of a nationally representative cohort will improve our understanding of depression risk in a number of ways.…”
mentioning
confidence: 99%
“…The impact of adverse prenatal famine or starvation on late adulthood chronic illness including diabetes, hypertension and CVD has been well articulated in the recent past and supported by evidence [14][15][16]. As it was explained by the Barker hypothesis (1990), an adverse nutrition in early life, including prenatally as measured by birth weight, increased susceptibility to the metabolic syndrome, which includes obesity, diabetes, insulin insensitivity, hypertension, and hyperlipidemia and complications that include coronary heart disease and stroke [16].…”
Section: Introductionmentioning
confidence: 93%
“…Atypically, common etiologies in low income countries have been documented as diarrheal diseases, HIV infection, low birth weight, malaria and preterm birth [2][3]. Furthermore, data in recent decades also showed correlation between suboptimal kidney health and contextual risk factors such as prenatal unhealthy environment [11][12][13][14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%
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