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Binary Logistic Regressions Predicting Childhood Exposure to a Household Member Who Used Substances (Drugs/ Alcohol), Had a Mental Illness, Attempted Suicide, and/or Who Spent Time in Prison From Familial IRS Attendance Table 2

Table 2 Binary Logistic Regressions Predicting Childhood Exposure to a Household Member Who Used Substances (Drugs/ Alcohol), Had a Mental Illness, Attempted Suicide, and/or Who Spent Time in Prison From Familial IRS Attendance Table 2

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Note. The proportions of the sample that reported having spent time in foster care or a group home, experiencing household economic instability or general instability while growing up, by whether their family was not directly affected by residential schools, if they had a parent or grandparent who attended, and if they had a parent and grandparent who attended. Residential School Attendance
Note. The proportions of the sample that reported having spent time in foster care or a group home, experiencing household economic instability or general instability while growing up, by whether their family was not directly affected by residential schools, if they had a parent or grandparent who attended, and if they had a parent and grandparent who attended. Residential School Attendance
Note. The proportions of the sample that reported experiencing household substance use, depression or mental illness, sui- cide attempt, or a family member in prison while growing up, by whether their family was not directly affected by residential schools, if they had a parent or grandparent who attended, and if they had a parent and grandparent who attended. Household Risk Factors
Note. The proportions of the sample that reported experiencing household substance use, depression or mental illness, sui- cide attempt, or a family member in prison while growing up, by whether their family was not directly affected by residential schools, if they had a parent or grandparent who attended, and if they had a parent and grandparent who attended. Household Risk Factors
Binary Logistic Regressions Predicting CWS Exposure, Self-Rated Household Economic Instability While Growing up, and Self-Rated General Household Instability While Growing up From Familial IRS Attendance Table 1 While a cumulative household risk score was of interest, separate binary logistic regressions were first examined for each household exposure variable to determine the individual relationships to I] family history.’ Specifically, contrasts that compared those who were not affected by IRS (referenc group) to those who were intergenerationally affected by the IRS, are shown in Table 1 and Table 2 separated by the different household risk factors. Having a grandparent who attended IRS was associated with an increased likelihood of growing up in a household with someone with a mental illness and/or who attempted suicide, and tended to be related to exposure to the CWS, although this only approached significance in comparison to those not affected by IRS. However, having a grandparent who attended IRS was not associated with a greater risk for household economic instability, general household instability, household substance use, or having a household member who went to prison, in comparison to those not affected by IRS (Table 1 and Table 2). Those with a parent (but no grandparent) and those with a parent and grandparent who attended IRS were both at greater risk for exposure to the CWS and to each household exposure variable compared to those not affected, except exposure to economic instability, which only approached significance fo1 individuals with a parent who went to IRS (Table 1 and Table 2). 7 A logistic regression is a statistical model used to predict the probability of certain events occurring.
Binary Logistic Regressions Predicting CWS Exposure, Self-Rated Household Economic Instability While Growing up, and Self-Rated General Household Instability While Growing up From Familial IRS Attendance Table 1 While a cumulative household risk score was of interest, separate binary logistic regressions were first examined for each household exposure variable to determine the individual relationships to I] family history.’ Specifically, contrasts that compared those who were not affected by IRS (referenc group) to those who were intergenerationally affected by the IRS, are shown in Table 1 and Table 2 separated by the different household risk factors. Having a grandparent who attended IRS was associated with an increased likelihood of growing up in a household with someone with a mental illness and/or who attempted suicide, and tended to be related to exposure to the CWS, although this only approached significance in comparison to those not affected by IRS. However, having a grandparent who attended IRS was not associated with a greater risk for household economic instability, general household instability, household substance use, or having a household member who went to prison, in comparison to those not affected by IRS (Table 1 and Table 2). Those with a parent (but no grandparent) and those with a parent and grandparent who attended IRS were both at greater risk for exposure to the CWS and to each household exposure variable compared to those not affected, except exposure to economic instability, which only approached significance fo1 individuals with a parent who went to IRS (Table 1 and Table 2). 7 A logistic regression is a statistical model used to predict the probability of certain events occurring.
The Unstandardized Coefficients in the Mediation Model Note. The coefficient in brackets represents the direct link without cumulative exposure to household risk factors in the mode Figure 3
The Unstandardized Coefficients in the Mediation Model Note. The coefficient in brackets represents the direct link without cumulative exposure to household risk factors in the mode Figure 3
Related topics:
PsychologyFoster CareResidential Schoolchildhood adversity
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