Table 1

Selected characteristics of study participants at screening

VariableBlacksWhites
Total n (%) 1000 (100) 996 (100) 
Median age, y (range) 48 (40-79) 48 (40-79) 
Age group, y, n (%)   
    Less than 43 202 (20.2) 224 (22.5) 
    43-47.99 284 (28.4) 263 (26.4) 
    48-54.99 259 (25.9) 235 (23.6) 
    55 or more 255 (25.5) 274 (27.5) 
BMI* group, kg/m2, n (%)   
    Less than 25 249 (24.9) 248 (24.9) 
    25-29.99 251 (25.1) 249 (25.0) 
    30-34.99 250 (25.0) 250 (25.1) 
    35 or higher 250 (25.0) 249 (25.0) 
Education status, n (%)   
    Did not attend college 736 (73.6) 718 (72.1) 
    Attended at least some college 264 (26.4) 278 (27.9) 
Annual household income, n (%)   
    Less than $15 000 622 (62.2) 594 (59.6) 
    At least $15 000 369 (36.9) 398 (40.0) 
Household size, n (%)   
    1 person 204 (20.4) 229 (23.0) 
    2 persons 307 (30.7) 356 (35.7) 
    3 persons 202 (20.2) 189 (19.0) 
    4 or more persons 287 (28.7) 222 (22.3) 
Cigarette smoking, n (%)   
    Current smoker 378 (37.8) 444 (44.6) 
    Former smoker 204 (20.4) 223 (22.4) 
    Never smoked 417 (41.7) 327 (32.8) 
Diabetes mellitus, n (%)   
    Yes 220 (22.0) 164 (16.5) 
VariableBlacksWhites
Total n (%) 1000 (100) 996 (100) 
Median age, y (range) 48 (40-79) 48 (40-79) 
Age group, y, n (%)   
    Less than 43 202 (20.2) 224 (22.5) 
    43-47.99 284 (28.4) 263 (26.4) 
    48-54.99 259 (25.9) 235 (23.6) 
    55 or more 255 (25.5) 274 (27.5) 
BMI* group, kg/m2, n (%)   
    Less than 25 249 (24.9) 248 (24.9) 
    25-29.99 251 (25.1) 249 (25.0) 
    30-34.99 250 (25.0) 250 (25.1) 
    35 or higher 250 (25.0) 249 (25.0) 
Education status, n (%)   
    Did not attend college 736 (73.6) 718 (72.1) 
    Attended at least some college 264 (26.4) 278 (27.9) 
Annual household income, n (%)   
    Less than $15 000 622 (62.2) 594 (59.6) 
    At least $15 000 369 (36.9) 398 (40.0) 
Household size, n (%)   
    1 person 204 (20.4) 229 (23.0) 
    2 persons 307 (30.7) 356 (35.7) 
    3 persons 202 (20.2) 189 (19.0) 
    4 or more persons 287 (28.7) 222 (22.3) 
Cigarette smoking, n (%)   
    Current smoker 378 (37.8) 444 (44.6) 
    Former smoker 204 (20.4) 223 (22.4) 
    Never smoked 417 (41.7) 327 (32.8) 
Diabetes mellitus, n (%)   
    Yes 220 (22.0) 164 (16.5) 

This study was based on the large population-based SCCS cohort, which has been described previously (www.southerncommunitystudy.org).13  In brief, at entry into the SCCS, trained interviewers administered a comprehensive in-person baseline interview that elicited information, such as demographics, anthropometry, medication use, and medical history. Participants were asked to donate a blood sample at study enrollment. A 20-mL venous blood sample was donated by 59% of those eligible to provide one. The blood was separated into its components and stored at −86°C. The 1996 SCCS subjects made available for inclusion in this study were drawn from a stratified random sample selected by the SCCS for another project of obesity biomarkers and reflect the combination of 2 previously sampled groups. The first group of 395 women (enrolled from 2002 to 2004) had been randomly selected within strata defined by race (black/white), smoking status (never, former, current), and body mass index (BMI, 18-24.99 kg/m2, 25-29.99 kg/m2, 30-45 kg/m2). The second group (n = 1605, enrolled from 2002 to 2006) represents a similarly stratified random sample by race (black/white), BMI (18.5-24.99 kg/m2, 25.0-29.99 kg/m2, 30.0-34.99 kg/m2, 35.0-44.99 kg/m2), and menopausal status (premenopausal/postmenopausal). Four women were removed because they had a recorded preceding lymphoproliferative malignancy,14  resulting in our final study population of 1996 subjects.

*

All study subjects had information on self-reported weight and height. As stated in “Results and discussion,” for approximately 25% of the cohort, medical record-abstracted weight and height (measured on the day of study enrollment at the community health center) were also available. When we compared BMI values calculated from self-reported height and weight compared with BMI calculated from the medical record data, we found a very high concordance (Pearson correlation > 0.95). This provides the assurance about the reliability of the self-report.

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