National Health and Nutrition Examination Survey (NHANES) data on race, socioeconomic status, and leukocyte telomere length from the 1999-2000 and 2001-2002 survey waves.
data(NHANES)A dataset with 5,298 observations (rows) of 29 variables (columns):
Numeric: Respondent Sequence Number
Numeric: 1/WTMEC4YR (Full Sample 4 Year Probability of Selection)
Numeric: Full Sample 4 Year Interview Weight
Numeric: Masked Variance Pseudo-PSU
Numeric: Masked Variance Pseudo-Stratum
Numeric: Mean T/S Ratio (See Details)
Numeric: log(TELOMEAN)
Numeric: 0 = Non-Hispanic White, 1 = Non-Hispanic Black (0/1 Coded for Current Functionality)
Numeric: Age at Screening (Years)
Factor w/ 2 Levels: Self-Reported Sex - Male, Female
Factor w/ 3 Levels: Education - High School or GED, Some College, College Graduate
Factor w/ 3 Levels: Marital Status - Never Married, Widowed/Divorced/Separated, Married/Living with Partner
Factor w/ 5 Levels: Household Size - 1 Person, 2 People, 3 People, 4 People, 5+ People
Factor w/ 5 Levels: Annual Household Income - $0 - $20,000, $20,000 - $35,000, $35,000 - $55,000, $55,000 - $75,000, $75,000+
Factor w/ 3 Levels: Family Poverty-Income Ratio Category - < 1.3, 1.3 <= PIR < 3.5, >= 3.5
Factor w/ 4 Levels: Employment Status - Full-Time, Part-Time, Retired, Not Working
Factor w/ 5 Levels: Occupation Category - No Work, Low Blue Collar, High Blue Collar, Low White Collar, High White Collar
Factor w/ 2 Levels: WIC Utilization - No WIC, Received WIC
Factor w/ 3 Levels: Food Security Status - Food Secure, Marginally Food Secure, Food Insecure
Factor w/ 4 Levels: Home Type - Family Home Detached, Family Home Attached, Apartment, Other
Factor w/ 2 Levels: Home Ownership - Does Not Own Home, Owns Home
Factor w/ 2 Levels: Insurance Status - Not Insured, Insured
Numeric: White Blood Cell Count (SI)
Numeric: Lymphocyte Percent (%)
Numeric: Monocyte Percent (%)
Numeric: Segmented Neutrophils Percent (%)
Numeric: Eosinophils Percent (%)
Numeric: Basophils Percent (%)
Numeric: Blood Lead Concentration (ug/dL; LOD = 0.3 ug/dL; Imputed by LOD / sqrt(2))
<https://www.cdc.gov/nchs/nhanes/index.htm>
Our initial sample consisted of 7,839 participants in the 1999-2002 NHANES
waves with laboratory measures recorded, including telomere length,
lTELOMEAN, which was assayed via quantitative polymerase chain
reaction (PCR; see Cawthorn, 2002). Our primary endpoint is the
log-transformed mean ratio of an individual's telomere length to a standard
reference DNA sample across all leukocyte cell types (mean T/S),
TELOMEAN. We focus on the 1999-2002 NHANES waves, as they featured
4-year adjusted survey weights, WTMEC4YR, designed for aggregating
data across cohorts. Among the initial 7,839 participants, 5,308 (67.7%)
self-identified as either non-Hispanic White or non-Hispanic Black.
Excluding those participants without our outcome of interest, our final
analytic sample contained 5,298 Non-Hispanic White or Non-Hispanic Black
identifying participants with measured telomere length. Race,
RACE_2CAT, is our variable of interest. We further included study
participant age, sex, and blood cell composition to account for known
differences in these factors, as well as twelve indicators of SES. Ten of
these, namely marital status, education level, household income, insurance
status, Special Supplemental Nutrition Program for Women, Infants, and
Children (WIC) usage, household size, home ownership, home type, food
security status, and an individual’s poverty income ratio (PIR), were
extracted directly from the NHANES demographic and occupation questionnaires.
Occupation category was constructed by mapping occupation group codes in the
NHANES 1999-2002 occupation questionnaire to the national statistics
socioeconomic job classifications, and employment status was derived from
three occupational measures: type of work done last week, hours worked last
week at all jobs, and main reason for not working last week (see Rehkopf et
al., 2008, Rose et al., 2005).
Richard M Cawthon. Telomere measurement by quantitative pcr. Nucleic acids research, 30(10):e47–e47, 2002.
David H Rehkopf, Lisa F Berkman, Brent Coull, and Nancy Krieger. The non-linear risk of mortality by income level in a healthy population: Us national health and nutrition examination survey mortality follow-up cohort, 1988–2001. BMC Public Health, 8(1):1–11, 2008.
David Rose, David J Pevalin, and Karen O’Reilly. The National Statistics Socio-economic Classification: origins, development and use. Palgrave Macmillan, 2005.
data(NHANES)