Physiological Differences Across Populations Reflecting Early Life and Later Life Nutritional Status and Later Life Risk for Chronic Disease

Crimmins, Eileen M.

doi:10.1007/s12062-014-9109-4

Cited by 12 publications

(13 citation statements)

References 43 publications

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“…All samples of adults are restricted to those age 30 through 79 in each country. For recent reviews of the literature, see Crimmins et al, (2010), Popkin, Adair and Ng (2012), Crimmins (2014), Ng et al (2014) and Roth et al (2015).…”

Section: Datamentioning

confidence: 99%

“…For some assays, the fact that each spot yields a relatively small volume of blood can be a challenge. In addition, widely-used protocols for cross-validation of assay implementation across different laboratories have not been fully established and comparisons of assay results across studies are not straightforward (Crimmins et al, 2014).…”

Section: Blood-based Markers Of Health and Health Risksmentioning

confidence: 99%

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Biological Health Risks and Economic Development

Frankenberg

Thomas

2015

The Oxford Handbook of Economics and Human Biology

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With populations aging and the epidemic of obesity spreading across the globe, global health risks are shifting toward noncommunicable diseases. Innovative biomarker data from recently conducted population-representative surveys in lower, middle, and higher income countries are used to describe how four key biological health risks—hypertension, cholesterol, glucose, and inflammation—vary with economic development and, within each country, with age, gender, and education. As obesity rises in lower income countries, the burden of noncommunicable diseases will rise in roughly predictable ways, and the costs to society are potentially very large. Investigations that explain cross-country differences in these relationships will have a major impact on advancing the understanding of the complex interplay among biology, health, and development.

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Section: Datamentioning

confidence: 99%

Section: Blood-based Markers Of Health and Health Risksmentioning

confidence: 99%

Biological Health Risks and Economic Development

Frankenberg

Thomas

2015

The Oxford Handbook of Economics and Human Biology

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“…Some studies have indicated that nutritional deficiencies in early life are associated with the risk of developing chronic diseases in adulthood (e.g. hypertension, impaired glucose tolerance, type 2 diabetes, and cardiovascular disease) (Crimmins, ; de Rooij et al, ; Li et al, ; van Abeelen et al, ; Wang et al, ). Currently, there are few studies on the relationship between famine‐exposure infancy and childhood and adult dyslipidemia (Wang et al, ; Xin et al, ), and the relevant mechanisms are still unclear.…”

Section: Introductionmentioning

confidence: 99%

Famine Exposure during the Fetal Period Increased the Risk of Dyslipidemia in Female Adults

Yao

2019

Lipids

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Chronic diseases are gradually becoming public health challenges around the world. This study was designed to explore the relationship between early life exposure to famine in China and the risk of dyslipidemia during adulthood. A total of 604 subjects born from 1955 to 1965 received a health checkup and completed a questionnaire survey at the health management center of the tertiary hospital in Hefei, China, in 2013. A logistic regression model was used to assess dyslipidemia in famine-exposed and nonexposed individuals. Overall, exposure to famine during the fetal (OR 1.37; 95% CI: 0.90-2.10; and p = 0.14) and childhood (OR 0.97; 95% CI: 0.67-1.41; and p = 0.89) periods did not significantly increase the risk of dyslipidemia in adulthood compared with no exposure group. For females, exposure to famine during the fetal period (OR 2.00; 95% CI: 1.03-3.86; and p = 0.04) significantly increased the risk of dyslipidemia in adulthood compared to no exposure; however, this difference was not found in males. Exposure to famine in early life leads to altered lipid distribution in adulthood, and the risk of dyslipidemia significantly increased in adult women who were exposed to famine during the fetal period. Our study further validated the relationship between famine exposure during pregnancy and increased risk of dyslipidemia in female adult offspring. This study provides a scientific basis for the prevention and control of abnormal blood lipid levels in adults.

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“…We also examine differences between urban and rural areas. Although the relationship between SES and some biomarkers may be context specific (Beltrán-Sánchez and Crimmins, 2013;Crimmins, 2015), previous research found no evidence of an SES gradient in CRP in Costa Rica (Rosero-Bixby and Dow, 2009), another country experiencing demographic, economic, and epidemiologic transitions. Therefore, we hypothesize that we will 6 find no SES gradient in CRP in India.…”

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confidence: 95%

Education, Gender, and State-Level Gradients in the Health of Older Indians: Evidence from Biomarker Data

et al. 2014

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This paper examines health disparities in biomarkers among a representative sample of Indians aged 45 and older, using data from the pilot round of the Longitudinal Aging Study in India (LASI). Hemoglobin level, a marker for anemia, is lower for respondents with no schooling (0.7 g/dL less in the adjusted model) compared to those with some formal education. There are also substantial state and education gradients in underweight and overweight. The oldest old have higher levels of C-reactive protein (CRP) (1.1 mg/L greater than those aged 45-54), an indicator of inflammation and a risk factor for cardiovascular disease, as do those with greater body-mass index (an additional 1.2 mg/L for those who are obese compared to those who are of normal weight). We find no evidence of educational or gender differences in CRP, but respondents living in rural areas have CRP levels that are 0.8 mg/L lower than urban areas. We also find state-level disparities, with Kerala residents exhibiting the lowest CRP levels (1.96 mg/L compared to 3.28 mg/L in Rajasthan, the state with the highest CRP). We use the Blinder-Oaxaca decomposition approach to explain group-level differences, and find that state-level gradients in CRP are mainly due to heterogeneity in the association of the observed characteristics of respondents with CRP, as opposed to differences in the distribution of endowments across the sampled state populations.JEL Classification: I12, I14, D30, O15

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Physiological Differences Across Populations Reflecting Early Life and Later Life Nutritional Status and Later Life Risk for Chronic Disease

Cited by 12 publications

References 43 publications

Biological Health Risks and Economic Development

Biological Health Risks and Economic Development

Famine Exposure during the Fetal Period Increased the Risk of Dyslipidemia in Female Adults

Education, Gender, and State-Level Gradients in the Health of Older Indians: Evidence from Biomarker Data

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