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. Author manuscript; available in PMC: 2009 Nov 1.
Published in final edited form as: Prev Med. 2008 Jul 18;47(5):530–536. doi: 10.1016/j.ypmed.2008.07.009

Table 3.

Differences in receipt indicesa for smokers and recent ex smokers, by intervention condition

Index Flushing Mean (95%CI) Sunset park Mean (95%CI) Mean Difference P-value
Exposure to Chinese media/public education (0–6) 1.48 (1.15, 1.81) 0.97 (0.79, 1.14) 0.51 0.007
Utilization of cessation resources (0–8) 0.87 (0.57, 1.17) 0.54(0.41, 0.68) 0.33 0.05
Participation in program events and contests (0–7) 0.16 (0.07, 0.25) 0.04(0.01, .065) 0.12 0.01
Summaryb (standardized) 0.49 (0.14, 0.83) −0.44(−0.75, −0.13) 0.93 0.000
a

To calculate each receipt index, responses to related questions from the final survey were recoded into dummy responses (Yes=1 and No=0) and than the responses were summed. For example, for utilization of cessation resources there were 8 questions which ranged from use of pharmacotherapy to enrollment in the free nicotine patch program. Answers to these questions were coded as 0 or 1 and than summed. (A list of survey questions contributing to specific receipt indices is available from the authors)

b

To create the summary index each individual receipt index was “standardized” by subtracting its mean (based on individuals in the comparison community) and dividing the remainder by its within community standard deviation (obtained from analyses of variance. After standardization, the distribution of the receipt index is a normal distribution with Mean = 0 and SD = 1. The standardized summary index therefore could be negative or positive.

(NYC Chinese Health Study 2002–2006)