Skip to main content
. Author manuscript; available in PMC: 2016 Aug 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2015 Jun 10;24(8):1282–1290. doi: 10.1158/1055-9965.EPI-15-0055

Table 2. Association between pre-diagnosis BMI, the neighborhood environment, and breast cancer-specific mortality, California Breast Cancer Survivorship Consortium.

All African Americans Asian Americans Latinas Non-Latina Whites
n=8995 n=1719 n=1234 n=1754 n=4234
Deaths (n) HRa 95% CI HRa 95% CI HRa 95% CI HRa 95% CI HRa 95% CI
BMI (m/kg2) Normal weight 548 1.00 1.00 1.00 1.00 1.00
Overweight 393 1.04 (0.90-1.19) 0.79 (0.60-1.05) 1.44 (0.93-2.22) 0.99 (0.68-1.44) 1.09 (0.86-1.37)
Obese 213 1.08 (0.90-1.29) 0.83 (0.60-1.14) 1.96 (0.96-3.98) 1.06 (0.69-1.64) 1.21 (0.87-1.69)
Severly obese 75 1.06 (0.81-1.37) 0.87 (0.56-1.37) -- -- 0.88 (0.45-1.71) 1.37 (0.86-2.19)
Morbidly obese 55 1.22 (0.89-1.68) 1.00 (0.61-1.64) -- -- 2.13 (1.10-4.15) 0.94 (0.46-1.92)
p trend 0.21 0.66 0.15 0.23 0.24
Socioeconomic statusb,c Q5-high 308 1.00 1.00 1.00 1.00 1.00
Q4 267 0.95 (0.79-1.14) 0.59 (0.37-0.93) 0.66 (0.36-1.22) 0.79 (0.48-1.30) 1.19 (0.91-1.56)
Q3 247 1.00 (0.81-1.24) 0.69 (0.43-1.11) 0.85 (0.38-1.86) 1.11 (0.64-1.93) 1.19 (0.85-1.68)
Q2 251 1.14 (0.89-1.46) 0.73 (0.45-1.20) 0.93 (0.38-2.27) 0.76 (0.40-1.42) 1.73 (1.12-2.67)
Q1-low 210 1.19 (0.87-1.62) 0.65 (0.37-1.13) 1.20 (0.41-3.53) 1.16 (0.54-2.52) 2.75 (1.47-5.12)
p trend 0.10 0.91 0.90 0.96 <0.01
Household crowdingc,d Q1-low 272 1.00 1.00 1.00 1.00 1.00
Q2 269 0.89 (0.74-1.07) 0.59 (0.38-0.92) 0.72 (0.36-1.43) 0.86 (0.45-1.65) 0.96 (0.75-1.24)
Q3 345 0.99 (0.81-1.22) 0.87 (0.57-1.32) 1.10 (0.54-2.26) 1.17 (0.62-2.21) 0.76 (0.55-1.05)
Q4-high 397 0.90 (0.70-1.17) 0.82 (0.50-1.34) 0.62 (0.25-1.54) 0.93 (0.45-1.92) 0.73 (0.45-1.18)
p trend 0.67 0.90 0.82 0.96 0.10
% Multi-family housing unitsc,e Q1-low % 274 1.00 1.00 1.00 1.00 1.00
Q2 310 1.19 (1.00-1.42) 1.10 (0.73-1.64) 1.08 (0.61-1.90) 1.91 (1.17-3.10) 1.00 (0.77-1.30)
Q3 343 1.13 (0.94-1.37) 1.27 (0.85-1.89) 0.69 (0.36-1.33) 1.98 (1.20-3.26) 0.79 (0.58-1.07)
Q4-high % 356 1.08 (0.89-1.32) 1.07 (0.71-1.63) 1.34 (0.69-2.58) 1.67 (0.96-2.88) 0.90 (0.64-1.26)
p trend 0.87 0.98 0.88 0.14 0.16
Street connectivity: Gammaf,g Q1-low % 276 1.00 1.00 1.00 1.00 1.00
Q2 284 0.87 (0.73-1.05) 0.89 (0.56-1.41) 1.36 (0.76-2.45) 0.82 (0.50-1.35) 0.77 (0.59-0.99)
Q3 339 0.91 (0.75-1.10) 0.86 (0.54-1.35) 1.75 (0.92-3.35) 1.01 (0.61-1.65) 0.76 (0.56-1.03)
Q4-high % 385 0.95 (0.77-1.17) 0.87 (0.55-1.39) 1.30 (0.65-2.61) 1.53 (0.88-2.66) 0.76 (0.54-1.08)
p trend 0.77 0.74 0.48 0.05 0.12
Number of businessesg Q1-low 277 1.00 1.00 1.00 1.00 1.00
Q2 323 1.01 (0.84-1.21) 0.95 (0.61-1.49) 1.27 (0.68-2.38) 0.68 (0.42-1.12) 1.04 (0.80-1.36)
Q3 369 1.07 (0.88-1.30) 1.28 (0.81-2.01) 0.91 (0.47-1.76) 0.55 (0.32-0.96) 1.19 (0.87-1.63)
Q4-high 314 0.97 (0.77-1.22) 1.18 (0.72-1.95) 0.54 (0.25-1.16) 0.46 (0.25-0.85) 1.09 (0.73-1.61)
p trend 0.82 0.27 0.10 0.04 0.39
Number of parksg 0 337 1.00 1.00 1.00 1.00 1.00
1 398 1.01 (0.86-1.18) 1.10 (0.81-1.50) 0.79 (0.49-1.28) 1.66 (1.01-2.73) 1.01 (0.78-1.30)
2 284 1.07 (0.90-1.28) 1.15 (0.82-1.60) 0.96 (0.56-1.64) 1.75 (1.05-2.90) 0.99 (0.73-1.36)
≥3 264 0.97 (0.80-1.16) 0.98 (0.69-1.40) 0.70 (0.36-1.37) 2.02 (1.19-3.43) 0.92 (0.67-1.26)
p trend 0.90 0.87 0.44 0.03 0.60
a

Stratified by sage (AJCC) and study (AABCS,CARE,CTS, MEC, SFBCS). Adjusted for age, log (age), year of diagnosis, histology, grade, ER/PR status, nodal involvement, tumor size, second primary tumor, multiple primary tumor, days from diagnosis of index tumor to secondary primary diagnosis, days from of diagnosis of index tumor to multiple primary tumor, surgery type, chemotherapy, radiation, clustering by block group, education, parity, smoking, alcohol consumption, hypertension, diabetes. Analysis for all groups combined also adjusted for race/ethnicity

b

Based on SES composite index of seven indicator variables for Census block groups (Liu education index, proportion blue collar job, proportion older than age 16 in the workforce without a job, median household income, percent below 200% of federal poverty line, median rent, median house value).

c

U.S. census data; categories based on CA state-wide distribution

d

Percent occupied housing with ≥1 occupant per room

e

Percent of housing structures with ≥2 units

f

Ratio of actual number of street segments to maximum possible number of intersections

g

Business or traffic data; categories based on study participant distribution