Carmen D Ng
Biographic Data
| ID | 1282790 |
|---|---|
| NAME | Carmen D Ng |
| GIVEN NAMES | Carmen D |
| FAMILY NAME | Ng |
| SIGNATURE | NG C D |
| AFFILIATIONS | Emory University |
| ORCID | 0000-0001-9453-7818 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Validating the Social Vulnerability Index for alternative geographies in the United States to explore trends in social determinants of health over time and geographic location
Objective: To create county-, 5-digit ZIP code (ZIP-5)-, and 3-digit ZIP code (ZIP-3)-level datasets of the Social Vulnerability Index (SVI) and its components for 2016-2022 to validate the methodology beyond county level, explore trends in SVI over time and space, and demonstrate its usage in an enrichment exercise with health plan claims. Materials and methods: The SVI consolidates 16 structural, economic, and demographic variables from the Ame…
What your genes can (and can’t) tell you about BMI and diabetes
Body mass index (BMI) is commonly used as a proxy for adiposity in epidemiological and public health studies. However, BMI may suffer from issues of misreporting and, because it fluctuates over the life course, its association with morbidities such as diabetes is difficult to measure. We examined the associations between actual BMI, genetic propensity for high BMI, and diabetes to better understand whether a BMI polygenic score (PGS) explained mo…
Beyond recent BMI
Body mass index (BMI) is generally used to classify adiposity. Despite the fact that the consequences of adiposity for chronic health accumulate and manifest over time, most population health research exploring the implications of high BMI measures only its recent intensity. Some studies have used retrospective measures involving maximum weight, and even fewer have used BMI at multiple time points to estimate cumulative exposure to adiposity. The…
Stratification of BMI categories among older adults within and across countries
Objective: Within- and across-country nutritional disparities were examined among older adults in six different countries at varying levels of development. Design: Cross-sectional study. Participants: Older adults (aged 50 years or over) in China, Ghana, India, Mexico, Russia and South Africa using the Study on global AGEing and adult health (SAGE). Results: While the distribution of BMI categories varied by country, development-related character…
From Birth to Adulthood
The objective of this paper was to study nutritional status and growth, as measured by height and weight, over the life course and their connection with chronic diseases in Guatemala, a country with high levels of child undernutrition and adult overnutrition, using data from the Institute of Nutrition of Central America and Panama (INCAP) Nutrition Trial Cohort study. The study sample comprised a birth cohort of 1570 individuals who had data in t…
Biases in self-reported height and weight measurements and their effects on modeling health outcomes
Self-reported anthropometrics are often used as proxies for measured anthropometrics, but research has shown that heights and weights are often misreported. Using the Study on global AGEing and adult health, I analyze misreporting patterns of height, weight, and BMI in China, India, Russia, and South Africa. Adjustments of self-reported heights and weights using demographic, social, and anthropometric characteristics are evaluated and found to be…
Association of genetic and behavioral characteristics with the onset of diabetes
The effects of genetic and lifestyle characteristics should be taken into consideration for both future studies and diabetes management
Global analysis of overweight prevalence by level of human development
BACKGROUND: Less developed countries are increasingly afflicted with over-nutrition, and the escalating overweight prevalence has become a global problem. However, a problem as global as this may not be amenable to a general set of remedial interventions applicable to all countries. METHODS: I use data from various sources, including the World Health Organization and the World Bank, to test the association of overweight prevalence with economic, …
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Global analysis of overweight prevalence by level of human development
BACKGROUND: Less developed countries are increasingly afflicted with over-nutrition, and the escalating overweight prevalence has become a global problem. However, a problem as global as this may not be amenable to a general set of remedial interventions applicable to all countries. METHODS: I use data from various sources, including the World Health Organization and the World Bank, to test the association of overweight prevalence with economic, …
From Birth to Adulthood
The objective of this paper was to study nutritional status and growth, as measured by height and weight, over the life course and their connection with chronic diseases in Guatemala, a country with high levels of child undernutrition and adult overnutrition, using data from the Institute of Nutrition of Central America and Panama (INCAP) Nutrition Trial Cohort study. The study sample comprised a birth cohort of 1570 individuals who had data in t…
Biases in self-reported height and weight measurements and their effects on modeling health outcomes
Self-reported anthropometrics are often used as proxies for measured anthropometrics, but research has shown that heights and weights are often misreported. Using the Study on global AGEing and adult health, I analyze misreporting patterns of height, weight, and BMI in China, India, Russia, and South Africa. Adjustments of self-reported heights and weights using demographic, social, and anthropometric characteristics are evaluated and found to be…
Association of genetic and behavioral characteristics with the onset of diabetes
The effects of genetic and lifestyle characteristics should be taken into consideration for both future studies and diabetes management
Beyond recent BMI
Body mass index (BMI) is generally used to classify adiposity. Despite the fact that the consequences of adiposity for chronic health accumulate and manifest over time, most population health research exploring the implications of high BMI measures only its recent intensity. Some studies have used retrospective measures involving maximum weight, and even fewer have used BMI at multiple time points to estimate cumulative exposure to adiposity. The…
Stratification of BMI categories among older adults within and across countries
Objective: Within- and across-country nutritional disparities were examined among older adults in six different countries at varying levels of development. Design: Cross-sectional study. Participants: Older adults (aged 50 years or over) in China, Ghana, India, Mexico, Russia and South Africa using the Study on global AGEing and adult health (SAGE). Results: While the distribution of BMI categories varied by country, development-related character…
What your genes can (and can’t) tell you about BMI and diabetes
Body mass index (BMI) is commonly used as a proxy for adiposity in epidemiological and public health studies. However, BMI may suffer from issues of misreporting and, because it fluctuates over the life course, its association with morbidities such as diabetes is difficult to measure. We examined the associations between actual BMI, genetic propensity for high BMI, and diabetes to better understand whether a BMI polygenic score (PGS) explained mo…
Validating the Social Vulnerability Index for alternative geographies in the United States to explore trends in social determinants of health over time and geographic location
Objective: To create county-, 5-digit ZIP code (ZIP-5)-, and 3-digit ZIP code (ZIP-3)-level datasets of the Social Vulnerability Index (SVI) and its components for 2016-2022 to validate the methodology beyond county level, explore trends in SVI over time and space, and demonstrate its usage in an enrichment exercise with health plan claims. Materials and methods: The SVI consolidates 16 structural, economic, and demographic variables from the Ame…
Demography (8 works) · Medicine (8 works) · Obesity, Physical Activity, Diet (6 works) · Body mass index (5 works) · Environmental health (5 works) · Gerontology (5 works) · Population (5 works) · Demography (4 works) · Overweight (4 works) · Child Nutrition and Water Access (3 works)