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. 2017 Nov 22;14:E119. doi: 10.5888/pcd14.170143

Table 2. Descriptive Statistics for Individual and Neighborhood Variablesa at Baseline, By Neighborhood Type, Study of African American Women Participating in a Church-Based Diabetes Prevention Program on Weight Reduction (N = 220), Dallas, Texas, 2014–2016.

Variable All Neighborhoods (N = 220) Most Disadvantaged Neighborhoods (n = 110) Least Disadvantaged Neighborhoods (n = 110) P Value
Age, mean (SD), y 50.1 (11.2) 50.1 (11.7) 50.1 (10.9) .99b
Body mass index, mean (SD), kg/m2 36.7 (8.4) 37.6 (9.7) 35.7 (7.0) .13b
Waist circumference, mean (SD), in 41.4 (6.1) 42.4 (6.2) 40.4 (5.9) .06b
Allostatic load score,c mean (SD) 2.3 (1.7) 2.7 (1.7) 2.0 (1.6) .01d
No. of high-risk biomarkers, no. (%) of participants
0 47 (22.1) 17 (16.0) 30 (28.0) .02d
1–3 108 (50.7) 53 (50.0) 55 (51.4)
>3 58 (27.2) 36 (34.0) 22 (20.6)
Composite neighborhood disadvantage scoree, mean (SD) 0 (1.0) 0.8 (0.7) −0.8 (0.4) <.001b
Education, no. (%) of participants
≤High school diploma or equivalent 31 (15.5) 19 (19.4) 12 (11.8) .39f
Some college/technical degree 74 (37.0) 40 (40.8) 34 (33.3)
College degree 95 (47.5) 39 (39.8) 56 (54.9)
Annual household income, no. (%) of participants
<$25,000 40 (20.0) 27 (27.5) 13 (12.8) .02f
$25,000–$49,999 64 (32.0) 34 (34.7) 30 (29.4)
$50,000–$74,999 47 (23.5) 23 (23.5) 24 (23.5)
≥$75,000 49 (24.5) 14 (14.3) 35 (34.3)
Physical activity, no. (%)
<150 min per week 141 (66.2) 70 (66.0) 71 (66.4) .96g
≥150 min per week 72 (33.8) 36 (34.0) 36 (33.6)
Alcohol consumption in past 30 days, no. (%)
Yes 123 (57.7) 61 (57.6) 62 (58.0) .95g
No 90 (42.3) 45 (42.4) 45 (42.0)
Smoking status, no. (%)
Never 163 (81.5) 78 (79.6) 85 (83.3) .50g
Former/current 37 (18.5) 20 (20.4) 17 (16.7)
Perceived stressh, mean (SD) 15.5 (6.8) 14.9 (6.7) 15.9 (7.2) .30b

Abbreviation: SD, standard deviation.

a

All data were measured at the individual level, except for composite neighborhood disadvantage score.

b

P value obtained from hierarchical mixed-effect model for normal model with a random intercept.

c

Calculated by summing the number of biomarkers for which the participant was categorized as high risk; score ranged from 0 to 9. Data were collected on 9 biomarkers: body mass index, waist circumference, high-density lipoprotein (HDL) cholesterol, total cholesterol/HDL cholesterol ratio, triglycerides, glycosylated hemoglobin A1c, systolic blood pressure, diastolic blood pressure, and salivary cortisol.

d

P value obtained from hierarchical mixed-effect model for Poisson regression with a random intercept.

e

Determined by examining 10 previously developed measures of disadvantage at the neighborhood level: percentage of households living in poverty, percentage of households receiving public assistance, percentage of unoccupied housing units, percentage of renter-occupied housing, percentage of households living in the same house 5 years ago, percentage of occupied housing units with no vehicle, percentage of occupied housing units with more than 1 person per room (crowding), percentage of adults aged 25 or older without a high school diploma or equivalent, percentage of unemployed individuals 16 years or older in the civilian work force, and percentage of female-headed households.

f

P value obtained from hierarchical mixed effect model for multicategory logit model with a random intercept.

g

P value obtained from hierarchical mixed effect model for logistic regression with a random intercept.

h

Measured by using the 10-item Perceived Stress Scale in which respondents reported feelings of stress and coping in the past month on a 5-point Likert scale from 0 (lowest) to 4 (highest) (24). The 10 items were summed to create a composite score (score range, 0–40) for stress in which greater values indicate greater levels of perceived stress.