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. Author manuscript; available in PMC: 2019 Jan 5.
Published in final edited form as: J Ethn Subst Abuse. 2017 Jul 5;18(2):183–210. doi: 10.1080/15332640.2017.1333476

Table 3.

Probit sample selection model of risky alcohol use in past 12 months – women and mena.

Women Men

No adjustment Demographic factorsb Demographic & substantive factorsc No adjustment Demographic factorsb Demographic & substantive factorsc
Origin
African .143(.042)*** −.126(.052)** −.207(.060)*** .033(.043) .258(.054)*** −.304(.055)***
Asian .272(.116)** .037(.121) .039(.122) .151(.110) −.028(.123) .019(.130)
Eastern Europe −.157(.062)** −.064(.064) −.043(.068) −.237(.065)*** −.121(.069)* −.086(.070)
Western Europe
Mexico .106(.081) −.044(.082) −.010(.090) .318(.070)*** .135(.073)* .167(.090)*
Puerto Rico (PR) .119(.133) −.161(.142) −.160(.147) .250(.152) −.081(.166) −.073(.168)
Other Hispanic .156(.094)* .036(.100) .052(.105) .061(.107) −.131(.116) −.106(.122)
Foreign-Born
African foreign-born −.017(.128) −.071(.170) −.051(.181) −.503(.149)*** −.565(.181)*** −.563(.170)***
Asian foreign-born −.521(.181)*** −.804(.217)*** −.875(.221)*** −.445(.155)*** −.655(.187)*** −.769(.211)***
Eastern Europe foreign-born −.119(.180) −.345(.212) −.558(.246) .260(.238) −.093(.252) −.159(.279)
Western Europe foreign-born −.050(.102) .044(.109) .079(.111) −.143(.113) −.002(.122) .064(.127)
Mexico foreign-born .131(.127) −.194(.156) −.276(.159)* .021(.111) −.132(.129) −.221(.164)
Puerto Rican born in PR .290(.272) .243(.310) .218(.311) −.262(.188) −.163(.213) −.235(.231)
Other Hispanic foreign-born −.036(.128) −.208(.138) −.237(.159) .007(.131) −.065(.147) −.153(.189)

P-value for sign. of origin <.0001 .189 .017 <.0001 <.0001 <.0001
P-value for sig. of foreign-born status .095 .003 .001 <.0001 <.0001 <.0001
Rho −.816(.019)*** −.432(.071)*** −.257(.111)** −.911(.019)*** −.413(.130)*** −.206(.172)
***

p<.01.

**

p<.05.

*

p<.10.

a

Models are bivariate probit with sample selection on whether a respondent used alcohol in the past 12 months. Identification comes from the inclusion of first wave control measures in the used alcohol portion of the model. The addition of these factors significantly improved model fit for used alcohol at better than the .01 level. Note that the years in US is not included in the models shown because the joint tests on its inclusion were never statistically significant.

b

Demographic factors include gender, age, marital status, number of children, education, working status, health insurance, region, MSA, physical or mental disability, income, and religious activity.

c

Substantive factors include trauma, perceived discrimination, prefer speaking in English, prefer own social group socially, race/ethnic orientation, number of close ties, number of instrumental ties, social support, and social stress.