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New insight on intergenerational attachment from a relationship-based analysis

Published online by Cambridge University Press:  12 April 2017

Heidi N. Bailey*
Affiliation:
University of Guelph
George M. Tarabulsy
Affiliation:
Laval University
Greg Moran
Affiliation:
Western University
David R. Pederson
Affiliation:
Western University
Sandi Bento
Affiliation:
Western University
*
Address correspondence and reprint requests to: Heidi N. Bailey, Department of Psychology, University of Guelph, 50 Stone Road East, 4010 Mackinnon Extension, Room 3008, Guelph, ON N1G 2W1, Canada; E-mail: hnbailey@uoguelph.ca.
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Abstract

Research on attachment transmission has focused on variable-centered analyses, where hypotheses are tested by examining linear associations between variables. The purpose of this study was to apply a relationship-centered approach to data analysis, where adult states of mind, maternal sensitivity, and infant attachment were conceived as being three components of a single, intergenerational relationship. These variables were assessed in 90 adolescent and 99 adult mother–infant dyads when infants were 12 months old. Initial variable-centered analyses replicated the frequently observed associations between these three core attachment variables. Relationship-based, latent class analyses then revealed that the most common pattern among young mother dyads featured maternal unresolved trauma, insensitive interactive behavior, and disorganized infant attachment (61%), whereas the most prevalent adult mother dyad relationship pattern involved maternal autonomy, sensitive maternal behavior, and secure infant attachment (59%). Three less prevalent relationship patterns were also observed. Moderation analyses revealed that the adolescent–adult mother distinction differentiated between secure and disorganized intergenerational relationship patterns, whereas experience of traumatic events distinguished between disorganized and avoidant patterns. Finally, socioeconomic status distinguished between avoidant and secure patterns. Results emphasize the value of a relationship-based approach, adding an angle of understanding to the study of attachment transmission.

Figure 0

Table 1. Descriptive statistics and adjusted standardized residuals for Adult Attachment Interview and Strange Situation classification by adolescent versus adult status

Figure 1

Table 2. Descriptive statistics and adjusted standardized residuals for Strange Situation classification by Adult Attachment Interview classification: Adolescent and adult mothers

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Figure 1. Mediational model of the indirect effect of Adult Attachment Interview autonomy on attachment security through maternal sensitivity. Unstandardized regression coefficients; attachment security: 1 = secure, 0 = nonsecure; dashed lines indicate associations that are not statistically significant. +p < .10. *p < .05. **p < .01.

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Table 3. Latent class analyses, separate samples: Fit indices for models varying by number of classes

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Figure 2. Latent class analysis, adolescent mothers: conditional response probabilities for each class. Adult Attachment Interview, I = dismissing, II = autonomous, III = unresolved; Strange Situation, I = avoidant, II = secure, III = disorganized; sensitivity, I = insensitive, II = moderately sensitive, III = highly sensitive.

Figure 5

Figure 3. Latent class analysis, adult mothers: conditional response probabilities for each class. Adult Attachment Interview, I = dismissing, II = autonomous, III = preoccupied, IV = unresolved; Strange Situation, I = avoidant, II = secure, III = resistant, IV = disorganized; sensitivity, I = insensitive, II = moderately sensitive, III = highly sensitive.

Figure 6

Figure 4. Latent class analysis, combined adolescent and adult samples: conditional response probabilities for each class. Adult Attachment Interview, I = dismissing, II = autonomous, III = preoccupied, IV = unresolved; Strange Situation, I = avoidant, II = secure, III = resistant, IV = disorganized; sensitivity, I = insensitive, II = moderately sensitive, III = highly sensitive.

Figure 7

Table 4. Latent class analyses, combined samples: Fit indices for models varying by number of classes

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Figure 5. Latent class analysis with covariates, combined adolescent and adult samples: moderation effects. Trauma, history of trauma; SES, socioeconomic status; Adol., adolescent.

Figure 9

Table 5. Latent class analysis of combined samples: Covariates predicting latent class membership (three-class solution)