Generations of residential school attendance in a family

Codes the intergenerational exposure used in the epidemiology of Indian Residential Schools: how many generations before the respondent attended, 0 (neither parents nor grandparents), 1 (parents or grandparents) or 2 (both a parent and a grandparent), as in McQuaid et al. (2017).

Usage

genexpo(parent, gparent, partial = c("na", "lowerbnd"))

Arguments

parent, gparent: Logical vectors: did a parent, did a grandparent attend.
partial: What a known attendance with the other generation unknown counts as: "na" (not known, the default) or "lowerbnd" (1).

Value

An integer vector of 0, 1, 2 or NA.

Details

Each answer is TRUE (attended), FALSE (did not) or NA (not known). An unknown answer may hide an attendance, so the count is unknown (NA) whenever an unknown answer could change it: always when the known answer is FALSE, and, with partial = "na" (the default), also when the known answer is TRUE (the count is 1 or 2). partial = "lowerbnd" codes that case 1, a lower bound: it keeps the person but can classify them a level too low, which biases a trend toward no effect.

References

McQuaid RJ, Bombay A, McInnis OA, Humeny C, Matheson K, Anisman H (2017). Suicide ideation and attempts among First Nations peoples living on-reserve in Canada: the intergenerational and cumulative effects of Indian Residential Schools. Canadian Journal of Psychiatry 62(6):422-430. doi:10.1177/0706743717702075

Bombay A, Matheson K, Anisman H (2014). The intergenerational effects of Indian Residential Schools: implications for the concept of historical trauma. Transcultural Psychiatry 51(3):320-338. doi:10.1177/1363461513503380

Examples

genexpo(c(TRUE, FALSE, TRUE, NA, FALSE), c(TRUE, FALSE, FALSE, TRUE, NA))
#> [1]  2  0  1 NA NA
genexpo(c(TRUE, FALSE, TRUE, NA, FALSE), c(TRUE, FALSE, FALSE, TRUE, NA),
                    partial = "lowerbnd")
#> [1]  2  0  1  1 NA