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. Author manuscript; available in PMC: 2025 Mar 1.
Published in final edited form as: J Anxiety Disord. 2024 Jan 9;102:102826. doi: 10.1016/j.janxdis.2024.102826

Positive reappraisal mediates childhood experiences of parental abuse and affection on adulthood generalized anxiety severity

Matthew H S Ng 1,*, Nur Hani Zainal 2,3, Michelle Gayle Newman 4
PMCID: PMC10993168  NIHMSID: NIHMS1969958  PMID: 38244467

Abstract

Exposure to parental abuse and lack of parental affection during childhood are risk factors for adulthood psychopathology. Tendencies to engage in positive reappraisal may be a plausible mechanism underlying this relationship. The current study examined if positive reappraisal coping mediated the relationship between maternal/paternal abuse/affection and adulthood generalized anxiety disorder (GAD) symptoms. Participant data (n = 3,294) from the Midlife Development in the United States study was collected in three waves, spaced nine years apart. Longitudinal structural equation mediation modeling examined whether positive reappraisal coping at Time 2 mediated the relationship between maternal/paternal abuse/affection at Time 1 and GAD symptoms at Time 3, controlling for GAD symptoms at Time 1. Positive reappraisal coping mediated maternal/paternal childhood abuse – GAD symptom severity and maternal/paternal childhood affection – GAD severity relations. Maternal and paternal abuse was associated with lower positive reappraisal tendencies, predicting increased GAD symptom severity. Conversely, higher maternal/paternal affection was associated with increased positive reappraisal, predicting lower GAD severity. Incremental prediction revealed that childhood abuse to GAD severity via positive reappraisal path was significant for maternal but not paternal abuse, whereas affection from both parents remained significant. Positive reappraisal coping may be a possible mechanism linking childhood experiences to adulthood GAD severity.

Keywords: abuse, affection, positive reappraisal, anxiety, longitudinal, structured equation modeling

1. Introduction

Generalized anxiety disorder (GAD) is a persistent mental disorder characterized by excessive worrying, tension, hypervigilance, and other somatic symptoms that persist for at least six months (American Psychiatric Association, 2013). GAD symptoms have also been shown to be highly comorbid with other mental disorders, such as major depressive disorder, panic disorder, and bipolar disorder (Barber et al., 2023; Silove & Marnane, 2013; Yapici-Eser et al., 2018), and has widespread consequences across many other domains. Examples include increased social disability (Newman et al., 2013b; Wittchen, 2002), poorer executive functioning (Majeed et al., 2023; Zainal & Newman, 2022), decreased work productivity (Hoffman et al., 2008) and increased primary care utilization (Maier et al., 2000; Porensky et al., 2009). Given that anxiety disorders are the most common mental health disorder in the general population (Alonso et al., 2007; Kessler et al., 2005; Newman et al., 2013a) and the detrimental impacts of GAD symptoms are widespread, identifying and understanding risk factors and mechanisms associated with GAD symptoms is essential.

Childhood experiences have been shown to be a prominent factor in the development of GAD symptoms. Broadly, childhood experiences have been examined from the perspectives of both adverse (e.g., emotional, physical, or sexual abuse and household dysfunction) and positive (e.g., familial/social-emotional and social support; Bethell et al., 2019; Crandall et al., 2019; Felitti et al., 1998) events. Adverse childhood experiences, specifically in the form of parental childhood abuse, have been associated with poor outcomes ranging from difficulties in controlling/expressing anger toward self and others (Win et al., 2021), lower self-acceptance (Sanghvi et al., 2023), and higher somatic symptoms and medical utilization (Newman et al., 2000). More importantly, parental abuse during childhood has been linked to a wide range of mental health problems, including depression (Adrian & Hammen, 1993; Shih et al., 2006), externalizing issues (e.g., Deater-Deckard et al., 1998), and in particular, GAD symptoms (Copeland et al., 2018; Newman et al., 2016; Rudolph & Hammen, 1999; Sanghvi et al., 2023). Even decades after encounters of childhood abuse, retrospectively reported parental childhood abuse was found to increase risk of mental disorders in adulthood (Chapman et al., 2004). Taken together, parental abuse during childhood has been associated with lifelong increased risk of psychopathology, especially GAD symptoms (Green et al., 2010; Kessler et al., 2010).

Conversely, positive childhood experiences in the form of high parental affection have been linked to improved outcomes such as subjective and psychosocial well-being (Chen et al., 2019; Huppert et al., 2010). High levels of parental affection have also been inversely linked with mental health problems (Bartek et al., 2021; Chen et al., 2019; Enns et al., 2002), particularly anxiety symptoms (Butterfield et al., 2021). In contrast to the long-term effects of childhood abuse, Bethell et al. (2019) concluded that positive childhood experiences (e.g., parental affection) could have lifelong protective effects on mental health (including reduced pathological worry and other GAD symptoms).

One mechanism that might underlie the relationship between childhood experiences and GAD symptoms in adulthood is emotion regulation (for a review, see Dvir et al., 2014; Miu et al., 2022). Emotion regulation is defined as the process of shaping what emotions one has when one has them and the experience or expression of these emotions (Gross, 2014). Difficulties in regulating one’s emotions have been identified as a transdiagnostic factor for many emotional disorders (Joormann, 2010; Nolen-Hoeksema et al., 2008), including anxiety disorders (Everaert & Joormann, 2019; Mennin et al., 2003; Newman & Llera, 2011; Teachman et al., 2012). One prominent strategy to regulate emotions is through the propensity to use positive reappraisal. Positive reappraisal is defined as cognitively reframing the meaning of distressing events less negatively or more positively to reduce their negative emotional impact (Gross, 2014). Indeed, the utilization of positive reappraisal as a strategy to regulate emotions has been shown to be a strong factor in decreasing internalizing symptoms (Aldao et al., 2010; Kivity & Huppert, 2018; Liu & Thompson, 2017) due to the decreased negative and increased positive experience of emotions (Gross & John, 2003) and better recovery from acute stressors (Jamieson et al., 2012). Collectively, deficits in tendencies to engage in positive reappraisal could result in the occurrence and maintenance of chronic psychopathology such as anxiety disorders.

The development of emotion regulatory skills has been theorized to occur incrementally over the course of childhood (Gross & Muñoz, 1995), with researchers proposing a few theoretical models that explain the underlying processes behind parental childhood abuse and resulting deficits in emotion regulation. For example, the theory of behavioral modeling of parents by children (Eisenberg et al., 1998; Rieder & Cicchetti, 1989) posits that children who observe emotion dysregulation in parents or caregivers may subsequently have difficulty regulating their feelings. Hence, it is highly likely that experiences of childhood abuse might result in impaired tendencies to engage in positive reappraisal, a component of emotion regulation, which might predispose one to emotional psychopathology (e.g., GAD symptoms). Conversely, experiences of parental affection would likely support the development of emotion regulation strategies, promoting the usage of positive reappraisal tendencies and reducing GAD symptoms over time. Taken together, understanding how tendencies to positively reappraise are influenced by exposure to parental abuse/affection and its relation to GAD symptoms might provide crucial insights into our understanding of the mechanisms contributing to the onset and maintenance of GAD. To this end, such efforts may aid in more precisely identifying treatment targets and informing optimal preventive psychosocial interventions.

Much of the current empirical literature (e.g., Boyes et al., 2016; Cloitre et al., 2019; Miu et al., 2022) has examined emotion regulation overall as a mediator between childhood abuse and psychopathology. In particular, Boyes et al. (2016) found that cognitive reappraisal tendencies were positively associated with mental health. Similarly, Miu et al. (2022) found that childhood adversity was negatively related to habitual cognitive reappraisal use, which in turn heightened the risk for future psychopathology. However, most of these studies were cross-sectional, which precluded weak causal inferences due to the absence of temporal precedence (Blackwell & Glynn, 2018) and did not explicitly examine GAD symptoms in adulthood. Furthermore, although negative associations between parental affection during childhood and adulthood psychopathology have been established (Aunola et al., 2015; Jorm et al., 2003), there is a dearth of studies in the literature examining the mediating role of positive reappraisal, specifically on the relationship between childhood parental affection and GAD symptoms in adulthood.

In addition, a deeper examination of the differential impact of maternal and paternal figures on psychopathological symptoms in adulthood is warranted. Much of the existing research examining parental roles during childhood has disproportionately focused on maternal figures, often ignoring paternal figures (Brumariu & Kerns, 2010; Ding & He, 2022; Rutter, 1981). Researchers have suggested that both parental figures confer unique and independent effects on developmental outcomes (Grossmann et al., 2002; Pleck, 2010), which could be explained by varying roles within the family and different caregiving styles (Cox & Paley, 1997; Cui et al., 2018). Although there is growing emphasis in the current research to examine the differential effects of parental roles on psychopathology, findings in the existing literature remain mixed. Most research (Kong & Martire, 2019; Moretti & Craig, 2013) has suggested that maternal roles may be a stronger predictor than paternal roles in mental health outcomes. The lasting influence and intricate dynamics between children and their mothers, as opposed to fathers, endured well into adulthood (Rosenthal & Kobak, 2010). Similarly, recent studies have observed that childhood abuse by mothers rather than fathers was associated with reduced psychological well-being, heightened risk of psychopathology, and increased distress (Kong & Martire, 2019; Kong et al., 2019). However, a few researchers (Mattanah, 2001; Summers et al., 1998) suggested that paternal roles were stronger predictors. Together, the dearth of research examining both parental roles and mixed findings in the current literature present a strong impetus to examine both parental roles in the perpetration of abuse and engagement in affection.

Therefore, based on theory and empirical literature, the current study sought to examine the following hypotheses. First, we expected positive reappraisal tendencies to significantly mediate the relationship between parental childhood abuse and GAD symptoms in adulthood. Specifically, we predicted that increased maternal and paternal abuse (examined separately) would result in lower positive reappraisal coping, which in turn would lead to greater GAD symptom severity in adults. Next, we hypothesized that positive reappraisal tendencies would significantly mediate the relationship between maternal/paternal affection during childhood and GAD symptoms. Specifically, we predicted that higher maternal and paternal affection would separately result in increased positive reappraisal coping, which would, in turn, lead to lower experiences of GAD symptom severity in adulthood.

2. Method

2.1. Participants

Data for this study was taken from the Midlife in the United States projects (MIDUS; Brim et al., 1999; Ryff et al., 2015; Ryff et al., 2007). MIDUS comprised three waves of data collected over approximately nine-year intervals: 1995–1996 (Time 1 [T1]); 2004–2005 (Time 2 [T2]); 2012–2013 (Time 3 [T3]). A total of 3,294 participants were included in this study. Participants were between 20 and 74 years of age (M = 45.6, SD = 11.4) at baseline, of which 54.6% were female and 46.8% were college-educated. Most participants racially identified as White (89.01%), compared to 10.99% of participants who identified as African American, Native American, Asian, multiracial, and others. Refer to Table 1 for descriptive statistics and a correlation matrix of the study variables.

Table 1.

Correlation matrix of study variables

1 2 3 4 5 6 7

1 MatAb (T1) -
2 MatAf (T1) −0.483*** -
3 PatAb (T1) 0.486*** −0.242*** -
4 PatAf (T1) −0.213*** 0.456*** −0.463*** -
5 PR (T2) −0.042* 0.084*** −0.024 0.105*** -
6 GAD (T1) 0.135*** −0.145*** 0.132*** −0.134*** −0.089*** -
7 GAD (T3) 0.119*** −0.094*** 0.087*** −0.077*** −0.128*** 0.346*** -
M 4.65 22.84 4.96 19.77 12.28 13.58 13.09
SD 1.95 4.90 2.14 5.76 2.43 6.46 6.33
Min 3 7 3 7 4 10 10
Max 12 29 12 29 16 40 40
Skew 1.47 −0.87 1.28 −0.30 −0.29 1.83 2.15
Kurtosis 2.05 0.16 1.23 −0.82 −0.44 2.56 3.87
*

p < .05,

***

p < .001.

T1 = time 1; T2 = time 2 (9 years after T1); T3 = time 3 (9 years after T2, 18 years after T1); MatAb = childhood maternal abuse; MatAf = childhood maternal affection; PatAb = childhood paternal abuse; PatAf = childhood paternal affection; GAD = generalized anxiety disorder; PR = positive reappraisal.

2.2. Procedures

The first wave of data collection (T1) was done via telephone interviews and self-administered questionnaires (SAQs).1 The second (T2) and third (T3) data collection waves were done via SAQs. Modified versions of the assessments were administered via telephone for participants who did not complete SAQs at T2 and T3 (refer to MIDUS codebooks for more information; Brim et al., 1999; Ryff et al., 2015; Ryff et al., 2007). The current study utilized data from 3,294 participants who completed telephone interviews and/or SAQs assessing GAD symptom severity at T1 and T3 because it offered data from participants who partook in most of the protocol aspects relevant to the current research aim. Measures that evaluated the frequency of childhood parental abuse and affection were completed at T1, and the measure of positive reappraisal was completed at T2.

2.3. Measures

2.3.1. Parental abuse during childhood

Retrospectively-reported experiences of childhood abuse were collected with the Conflict Tactics Scale (CTS2; Straus et al., 1996). The CTS2 examines emotional, physical, and serious physical forms of abuse experienced during childhood. Participants were asked to report the frequency at which each of their parents or people who raised them “Insulted or swore” at them (emotional abuse), “Pushed, grabbed, or shoved” them (physical abuse), and “Kicked, bit, or hit with a fist” (serious physical abuse). For this study, the abuse perpetrated by participants’ mother or woman who raised them and father or man who raised them were examined separately. Participants rated their experiences on a 4-point scale (1 = Often to 4 = Never). Domains examined in the CTS2 demonstrated satisfactory internal consistency (Cronbach’s αs = .73, .71, and .75 for emotional, physical, and serious physical abuse, respectively). The CTS2 also had strong construct validity and good retest reliability across diverse samples (Chapman & Gillespie, 2019).

2.3.2. Parental affection during childhood

Retrospectively reported maternal and paternal affection during childhood was collected at T1 (Rossi, 2001). Respondents rated their responses along a 4-point Likert scale (1 = Not at all to 4 = A lot). Examples of the items include “How much did she understand your problems and worries?”, “How much love and affection did she give you?” and “How much time and attention did she give you when you needed it?”. Both maternal and paternal affection scales were found to have good internal consistency (αs = .91 and .93, respectively). This scale also demonstrated good construct validity (Chen et al., 2019).

2.3.3. Positive reappraisal coping

Positive reappraisal was measured at T2 as a part of an SAQ assessing primary and secondary control (Wrosch et al., 2000). Participants responded to five items, which included statements such as “I can find something positive, even in the worst situations,” “I find I usually learn something meaningful from a difficult situation,” and “Even when everything seems to be going wrong, I can usually find a bright side to the situation.” Participants rated their positive reappraisal tendencies on a 4-point Likert scale (1 = A lot to 4 = Not at all). Positive reappraisal at T2 displayed good internal consistency (α = .78). The primary and secondary control strategies scale (which includes positive reappraisal) displayed strong construct validity (Haynes et al., 2009; Wrosch et al., 2000).

2.3.4. Generalized anxiety disorder symptom severity

GAD symptom severity was measured at T1 and T3 using the Composite International Diagnostic Interview–Short Form (CIDI-SF; Kessler et al., 1998; Wittchen, 1994), which was derived from the GAD diagnostic criteria in the Diagnostic and Statistical Manual of mental disorders, Revised Third Edition (DSM-III-R; American Psychiatric Association, 1987). Participants administered the CIDI-SF over the telephone and were asked to report the frequency of 10 GAD symptoms over the past 12 months. Examples of items include “were restless because of your worry,” “were keyed up, on edge, or had a lot of nervous energy,” and “had trouble staying asleep because of your worry.” Participants responded along a 4-point Likert scale (1 = never to 4 = on most days). The CIDI-SF demonstrated high sensitivity (96.6%) and specificity (99.8%; Kessler et al., 1998) and also had good internal consistency for this study (T1: α = .96; T3: α = .97). Psychometric property analyses were carried out to validate the utilization of the CIDI as a continuous measure of symptom severity. These analyses revealed evidence supporting convergent validity of the CIDI-SF GAD severity score, given significantly large and positive correlations of r = .81 with the Spielberger Trait Anxiety Inventory (Spielberger, 1983) and r = .78 with the Perceived Stress Scale (Cohen et al., 1983). The CIDI-SF GAD severity score also showed strong discriminant validity, based on consistently small and positive correlations of r values of .08 with the Social Contribution Scale and .06 with the Social Integration Scale (Keyes & Shapiro, 2004).

2.4. Analytic Plan

Longitudinal structural equation mediation modeling was conducted using the lavaan R package (Rosseel, 2012) in the RStudio software (R Version 4.2.2). To assess model fit, the following fit statistics were utilized: Chi-square (Hu & Bentler, 1999), model degrees of freedom and its probability of null outcomes (p) value, confirmatory fit index (CFI; Bentler, 1990), Tucker-Lewis index (Tucker & Lewis, 1973), root mean square error of approximation (RMSEA; Steiger, 1990) and its 90% confidence interval (CI), and standardized root mean square residual (SRMR; Byrne, 1998; Hu & Bentler, 1999). Two separate mediation models were constructed to examine T1 childhood maternal and paternal abuse predicting T3 GAD symptom severity via T2 positive reappraisal. Similarly, another two models measured T1 childhood maternal and paternal affection predicting T3 GAD symptoms via T2 positive reappraisal. Using the product of coefficients method of indirect effect (a × b), mediation analyses were conducted for the coefficients of latent composite scores derived for T1 parental abuse (maternal and paternal abuse separately), predicting the latent composite scores of T2 positive reappraisal (path a) and T2 positive reappraisal predicting T3 GAD symptom severity (path b). Additional mediation analyses were conducted with the same approach, examining T1 parental affection (both maternal and paternal affection separately) predicting T3 GAD symptom severity via T2 positive reappraisal. Also, we reported the unstandardized regression coefficients (β), standard errors (SE), z-scores, and p values (Cheung & Lau, 2008). Mediation effect sizes were presented as a proportion of indirect effect (a × b) relative to total effect (c = a × b + c’) (Preacher & Kelley, 2011; Wen & Fan, 2015). To increase analytic rigor, T1 GAD status was controlled for in all mediation analyses. Methodological researchers in causal inference advocate against adjusting for a mediating variable at baseline. Doing so could introduce bias by blocking part of the causal effect via the mediator (D’Onofrio et al., 2020; Rosenbaum, 1984). Hence, the authors chose not to control for T1 positive reappraisal. To deal with missing data (3.5% of the total observed dataset), the gold standard approach utilizing full information maximum likelihood (Lee & Shi, 2021) was conducted for data likely to be missing at random.

3. Results

3.1. T1 Childhood abuse predicting T3 GAD symptom severity via T2 positive reappraisal

The model examining T1 maternal abuse during childhood predicting T3 GAD symptom severity via T2 positive reappraisal demonstrated good fit (χ2 (df = 319) = 802.641, p < .001, CFI = .993, RMSEA = .023, 95% CI [.021, .025], SRMR = .030). All individual items had significantly high factor loadings for T1 maternal abuse (λ = 0.597 – 0.833), T2 positive reappraisal (λ = 0.499 – 0.882), and T3 GAD symptoms (λ = 0.804 – 0.879) (all p values <.001), offering evidence for the unidimensionality of all constructs of interest.2 Greater childhood maternal abuse significantly predicted lower T2 positive reappraisal (β = −0.054, SE = 0.013, z = −4.233, p < .001, d = −0.456), which in turn significantly predicted higher T3 GAD symptom severity (β = −0.235, SE = 0.037, z = −6.330, p < .001, d = −0.682). Indirect effects of maternal childhood abuse → T2 positive reappraisal → adulthood GAD symptom severity were significant (β = 0.013, SE = 0.004, z = 3.397, p = .001, d = 0.366) with T2 positive reappraisal accounting for 19.70% of the relationship between maternal childhood abuse and adulthood GAD symptom severity. Refer to Tables 2 and 3 for a summary of longitudinal SEM mediation models. Refer to Figure 1 for a path diagram of this analysis.

Table 2.

T1 Childhood Maternal Abuse Predicting T3 GAD Severity via T2 Positive Reappraisal, controlling for T1 GAD

Estimate 95% CI Cohen’s d

Regressions
 MatAb[T1] → GAD[T3] 0.053** [0.016, 0.090] 0.299
 MatAb[T1] → PR[T2] −0.054*** [−0.080, −0.029] −0.456
 PR[T2] → GAD[T3] −0.235*** [−0.307, −0.162] −0.682
 GAD[T1] → GAD[T3] 0.317*** [0.268, 0.366] 1.356

Covariances
 GAD[T1] ~~ MatAb[T1] 0.089*** [0.064, 0.114] 0.757
Factor Loadings
 T1 MatAb 1 1.000*** [1.000, 1.000] -
 T1 MatAb 2 0.799*** [0.679, 0.920] 1.404
 T1 MatAb 3 0.452*** [0.371, 0.534] 1.170
 T3 GAD 1 1.000*** [1.000, 1.000] -
 T3 GAD 2 0.925*** [0.873, 0.977] 3.735
 T3 GAD 3 1.003*** [0.945, 1.061] 3.667
 T3 GAD 4 1.097*** [1.036, 1.158] 3.813
 T3 GAD 5 1.013*** [0.950, 1.075] 3.413
 T3 GAD 6 0.986*** [0.926, 1.045] 3.485
 T3 GAD 7 0.850*** [0.796, 0.903] 3.356
 T3 GAD 8 1.131*** [1.067, 1.196] 3.697
 T3 GAD 9 1.020*** [0.957, 1.083] 3.407
 T3 GAD 10 0.889*** [0.819, 0.958] 2.704
 T2 PR 1 1.000*** [1.000, 1.000] -
 T2 PR 2 1.092*** [0.983, 1.201] 2.112
 T2 PR 3 1.986*** [1.803, 2.168] 2.291
 T2 PR 4 2.045*** [1.855, 2.234] 2.275

Residual Variances
 T1 MatAb 1 0.252*** [0.158, 0.345] 0.568
 T1 MatAb 2 0.296*** [0.239, 0.353] 1.103
 T1 MatAb 3 0.211*** [0.181, 0.241] 1.476
 T3 GAD 1 0.118*** [0.099, 0.137] 1.301
 T3 GAD 2 0.152*** [0.128, 0.176] 1.342
 T3 GAD 3 0.125*** [0.105, 0.145] 1.331
 T3 GAD 4 0.176*** [0.147, 0.204] 1.311
 T3 GAD 5 0.165*** [0.140, 0.191] 1.372
 T3 GAD 6 0.117*** [0.098, 0.137] 1.266
 T3 GAD 7 0.130*** [0.111, 0.149] 1.438
 T3 GAD 8 0.148*** [0.122, 0.173] 1.215
 T3 GAD 9 0.133*** [0.111, 0.155] 1.271
 T3 GAD 10 0.169*** [0.146, 0.192] 1.559
 T2 PR 1 0.383*** [0.360, 0.406] 3.468
 T2 PR 2 0.413*** [0.385, 0.440] 3.155
 T2 PR 3 0.143*** [0.114, 0.173] 1.027
 T2 PR 4 0.175*** [0.141, 0.209] 1.085

Residual Variances
 Variance of (MatAb)[T1] 0.570*** [0.471, 0.669] 1.214
 Variance of (GAD)[T3] 0.333*** [0.295, 0.370] 1.879
 Variance of (PR)[T2] 0.125*** [0.105, 0.146] 1.272
 Variance of (GAD)[T1] 0.465*** [0.420, 0.510] 2.184

Defined Parameters
 Indirect Effect 0.013*** [0.005, 0.020] 0.366
 Total Effect 0.066*** [0.028, 0.103] 0.371
**

p < .01;

***

p < .001.

T1 = time 1; T2 = time 2 (9 years after T1); T3 = time 3 (9 years after T2, 18 years after T1); MatAb = childhood maternal abuse; GAD = generalized anxiety disorder; PR = positive reappraisal; CI = confidence interval; CFI = confirmatory fit index; RMSEA = root mean square error of approximation; SRMR = standardized root mean squared residual. Model fit indices: χ2(df = 319) = 802.641, p < .001, CFI = 0.993, RMSEA = 0.023, 95% CI [0.021, 0.025], SRMR = 0.030.

Table 3.

T1 Childhood Paternal Abuse Predicting T3 GAD Severity via T2 Positive Reappraisal, controlling for T1 GAD\

Estimate 95% CI Cohen’s d

Regressions
 PatAb[T1] → GAD[T3] 0.022 [−0.010, 0.053] 0.146
 PatAb[T1] → PR[T2] −0.036*** [−0.057, −0.016] −0.371
 PR[T2] → GAD[T3] −0.246*** [−0.320, −0.172] −0.705
 GAD[T1] → GAD[T3] 0.323*** [0.273, 0.373] 1.372

Covariances
 GAD[T1] ~~ PatAb[T1] 0.096*** [0.069, 0.122] 0.758

Factor Loadings
 T1 PatAb 1 1.000*** [1.000, 1.000] -
 T1 PatAb 2 0.750*** [0.648, 0.852] 1.555
 T1 PatAb 3 0.483*** [0.403, 0.563] 1.271
 T3 GAD 1 1.000*** [1.000, 1.000] -
 T3 GAD 2 0.926*** [0.874, 0.979] 3.728
 T3 GAD 3 1.004*** [0.946, 1.062] 3.644
 T3 GAD 4 1.100*** [1.039, 1.161] 3.811
 T3 GAD 5 1.013*** [0.950, 1.076] 3.396
 T3 GAD 6 0.987*** [0.927, 1.047] 3.481
 T3 GAD 7 0.849*** [0.795, 0.903] 3.340
 T3 GAD 8 1.133*** [1.068, 1.197] 3.685
 T3 GAD 9 1.020*** [0.956, 1.084] 3.379
 T3 GAD 10 0.890*** [0.821, 0.959] 2.711
 T2 PR 1 1.000*** [1.000, 1.000] -
 T2 PR 2 1.088*** [0.980, 1.197] 2.121
 T2 PR 3 1.978*** [1.799, 2.158] 2.329
 T2 PR 4 2.048*** [1.860, 2.235] 2.303

Residual Variances
 T1 PatAb 1 0.193*** [0.084, 0.301] 0.376
 T1 PatAb 2 0.322*** [0.267, 0.378] 1.224
 T1 PatAb 3 0.283*** [0.248, 0.318] 1.689
 T3 GAD 1 0.119*** [0.099, 0.138] 1.304
 T3 GAD 2 0.152*** [0.128, 0.176] 1.340
 T3 GAD 3 0.125*** [0.105, 0.145] 1.324
 T3 GAD 4 0.174*** [0.146, 0.202] 1.305
 T3 GAD 5 0.166*** [0.140, 0.191] 1.380
 T3 GAD 6 0.117*** [0.097, 0.137] 1.260
 T3 GAD 7 0.131*** [0.112, 0.150] 1.449
 T3 GAD 8 0.147*** [0.121, 0.173] 1.208
 T3 GAD 9 0.134*** [0.111, 0.156] 1.268
 T3 GAD 10 0.169*** [0.146, 0.192] 1.564
 T2 PR 1 0.383*** [0.359, 0.406] 3.481
 T2 PR 2 0.413*** [0.386, 0.441] 3.165
 T2 PR 3 0.146*** [0.117, 0.175] 1.066
 T2 PR 4 0.172*** [0.138, 0.206] 1.073

Residual Variances
 Variance of (PatAb)[T1] 0.735*** [0.623, 0.847] 1.380
 Variance of (GAD)[T3] 0.333*** [0.295, 0.371] 1.868
 Variance of (PR)[T2] 0.126*** [0.106, 0.147] 1.285
 Variance of (GAD)[T1] 0.465*** [0.420, 0.510] 2.180

Defined Parameters
 Indirect Effect 0.009** [0.003, 0.015] 0.318
 Total Effect 0.031 [−0.001, 0.062] 0.206
**

p < .01;

***

p < .001.

T1 = time 1; T2 = time 2 (9 years after T1); T3 = time 3 (9 years after T2, 18 years after T1); PatAb = childhood paternal abuse; GAD = generalized anxiety disorder; PR = positive reappraisal; CI = confidence interval; CFI = confirmatory fit index; RMSEA = root mean square error of approximation; SRMR = standardized root mean squared residual. Model fit indices: χ2(df = 319) = 832.807, p < .001, CFI = 0.992, RMSEA = 0.024, 95% CI [0.022, 0.026], SRMR = 0.031.

Figure 1. Longitudinal SEM Mediation of T1 Childhood Maternal Abuse Predicting T3 GAD Severity via T2 Positive Reappraisal, controlling for T1 GAD.

Figure 1

Note. **p < .01; ***p < .001.

T1 = time 1; T2 = time 2 (9 years after T1); T3 = time 3 (9 years after T2, 18 years after T1); MatAb = childhood maternal abuse; GAD = generalized anxiety disorder; PR = positive reappraisal; CFI = confirmatory fit index; RMSEA = root mean square error of approximation; SRMR = standardized root mean squared residual. β = unstandardized beta regression weight with standard error in parenthesis; ε = item residual variances; ζ = factor residual variances.

Similarly, the model examining T1 paternal abuse predicting T3 GAD symptom severity via T2 positive reappraisal demonstrated good fit (χ2(df = 319) = 832.807, p < .001, CFI = .992, RMSEA .024, 95% CI [.022, .026], SRMR = .031). All individual items loaded strongly onto their respective unidimensional constructs (T1 paternal abuse: λ = 0.614 – 0.890; T2 positive reappraisal: λ = 0.500 – 0.880; T3 GAD symptoms: λ = 0.805 – 0.879) (all p values <.001). Increased childhood paternal abuse significantly predicted lower positive reappraisal at T2 (β = −0.036, SE = 0.010, z = −3.447, p = .001, d = −0.371), which in turn significantly predicted higher T3 GAD symptom severity (β = −0.246, SE = 0.038, z = −6.551, p < .001, d = −0.705). Indirect effects of paternal childhood abuse → T2 positive reappraisal → adulthood GAD symptom severity were significant (β = 0.009, SE = 0.003, z = 2.957, p = .003, d = 0.318) with T2 positive reappraisal accounting for 28.57% of the relationship between paternal childhood abuse and adulthood GAD symptom severity. Refer to Figure 2 for a path diagram of this analysis. Taken together, both of these findings support Hypothesis 1.

Figure 2. Longitudinal SEM Mediation of T1 Childhood Paternal Abuse Predicting T3 GAD Severity via T2 Positive Reappraisal, controlling for T1 GAD.

Figure 2

Note. **p < .01; ***p < .001.

T1 = time 1; T2 = time 2 (9 years after T1); T3 = time 3 (9 years after T2, 18 years after T1); PatAb = childhood paternal abuse; GAD = generalized anxiety disorder; PR = positive reappraisal; CFI = confirmatory fit index; RMSEA = root mean square error of approximation; SRMR = standardized root mean squared residual. β = unstandardized beta regression weight with standard error in parenthesis; ε = item residual variances; ζ = factor residual variances.

As a sensitivity analysis, incremental predictions were tested to determine if positive reappraisal would mediate the paths between both maternal and paternal childhood abuse predicting adulthood GAD severity if measures reflecting abuse from both fathers and mothers were entered into the same model. This model had good fit (χ2(df = 396) = 1039.311, p < .001, CFI = 0.987, RMSEA = 0.024, 95% CI [0.022, 0.026], SRMR = 0.032). T2 positive reappraisal significantly mediated the childhood maternal abuse–T3 adulthood GAD severity association (β = −0.012, SE = 0.004, z =2.780, p < .01, d = 0.281), but not the childhood paternal abuse–T3 adulthood GAD severity association (β = −0.001, SE = 0.003, z = −0.255, p = .799). The mediation pathway for maternal abuse as the predictor was still significant after adjusting for paternal abuse. Refer to Table 4 for a summary of the longitudinal SEM mediation model.

Table 4.

Supplemental incremental prediction analysis of T1 Childhood Maternal Abuse and T1 Childhood Paternal Abuse Predicting T3 GAD Severity via T2 Positive Reappraisal, controlling for T1 GAD

Estimate 95% CI Cohen’s d

Regressions
 MatAb[T1] → GAD[T3] 0.056* [0.006, 0.105] 0.221
 PatAb[T1] → GAD[T3] 0.001 [−0.041, 0.043] 0.004
 MatAb[T1] → PR[T2] −0.050** [−0.081, −0.020] −0.323
 PatAb[T1] → PR[T2] 0.003 [−0.0220, 0.028] 0.026
 PR[T2] → GAD[T3] −0.239*** [−0.312, −0.166] −0.643
 GAD[T1] → GAD[T3] 0.317*** [0.268, 0.367] 1.268

Covariances
 GAD[T1] ~~ MatAb[T1] 0.084*** [0.060, 0.108] 0.691
 GAD[T1] ~~ PatAb[T1] 0.081*** [0.056, 0.107] 0.623

Factor Loadings
 T1 MatAb 1 1.000*** [1.000, 1.000] -
 T1 MatAb 2 0.861*** [0.790, 0.931] 2.394
 T1 MatAb 3 0.489*** [0.429, 0.550] 1.587
 T1 PatAb 1 1.000*** [1.000, 1.000] -
 T1 PatAb 2 0.850*** [0.787, 0.912] 2.690
 T1 PatAb 3 0.547*** [0.488, 0.607] 1.812
 T3 GAD 1 1.000*** [1.000, 1.000] -
 T3 GAD 2 0.926*** [0.874, 0.979] 3.478
 T3 GAD 3 1.005*** [0.947, 1.062] 3.420
 T3 GAD 4 1.098*** [1.038, 1.159] 3.560
 T3 GAD 5 1.011*** [0.948, 1.075] 3.152
 T3 GAD 6 0.984*** [0.924, 1.044] 3.229
 T3 GAD 7 0.850*** [0.796, 0.904] 3.102
 T3 GAD 8 1.130*** [1.066, 1.195] 3.442
 T3 GAD 9 1.020*** [0.957, 1.084] 3.160
 T3 GAD 10 0.891*** [0.821, 0.960] 2.521
 T2 PR 1 1.000*** [1.000, 1.000] -
 T2 PR 2 1.095*** [0.985, 1.205] 1.965
 T2 PR 3 1.989*** [1.805, 2.173] 2.133
 T2 PR 4 2.049*** [1.858, 2.239] 2.118

Residual Variances
 T1 MatAb 1 1.771*** [1.740, 1.802] 11.271
 T1 MatAb 2 1.663*** [1.635, 1.691] 11.806
 T1 MatAb 3 1.213*** [1.193, 1.232] 12.217
 T1 PatAb 1 1.943*** [1.910, 1.976] 11.635
 T1 PatAb 2 1.719*** [1.689, 1.748] 11.559
 T1 PatAb 3 1.295*** [1.272, 1.318] 11.087
 T3 GAD 1 1.321*** [1.297, 1.346] 10.670
 T3 GAD 2 1.314*** [1.290, 1.338] 10.848
 T3 GAD 3 1.328*** [1.304, 1.353] 10.625
 T3 GAD 4 1.354*** [1.326, 1.381] 9.704
 T3 GAD 5 1.317*** [1.291, 1.343] 10.083
 T3 GAD 6 1.306*** [1.282, 1.330] 10.669
 T3 GAD 7 1.244*** [1.222, 1.266] 11.159
 T3 GAD 8 1.352*** [1.325, 1.380] 9.676
 T3 GAD 9 1.298*** [1.273, 1.323] 10.174
 T3 GAD 10 1.251*** [1.228, 1.275] 10.428
 T2 PR 1 3.350*** [3.325, 3.374] 27.059
 T2 PR 2 3.152*** [3.127, 3.178] 24.211
 T2 PR 3 2.923*** [2.896, 2.951] 21.007
 T2 PR 4 2.857*** [2.828, 2.886] 19.610

Residual Variances
 Variance of (MatAb)[T1] 0.534*** [0.474, 0.594] 1.747
 Variance of (PatAb)[T1] 0.661*** [0.598, 0.725] 2.056
 Variance of (GAD)[T3] 0.332*** [0.295, 0.370] 1.748
 Variance of (PR)[T2] 0.125*** [0.105, 0.146] 1.185
 Variance of (GAD)[T1] 0.464*** [0.419, 0.509] 2.038

Defined Parameters
 Indirect Effect of MatAb 0.012** [0.004, 0.020] 0.281
 Indirect Effect of PatAb −0.001 [−0.007, 0.005] −0.026
 Total Effect 0.068*** [0.030, 0.106] 0.349
*

p < .05;

**

p < .01;

***

p < .001.

T1 = time 1; T2 = time 2 (9 years after T1); T3 = time 3 (9 years after T2, 18 years after T1); MatAb = childhood maternal abuse; PatAb = childhood paternal abuse; GAD = generalized anxiety disorder; PR = positive reappraisal; CI = confidence interval; CFI = confirmatory fit index; RMSEA = root mean square error of approximation; SRMR = standardized root mean squared residual. Model fit indices: (χ2(df = 396) = 1039.311, p < 0.001, CFI = 0.987, RMSEA = 0.024, 95% CI [0.022, 0.026], SRMR = 0.032).

3.2. T1 Parental affection predicting T3 GAD symptom severity via positive reappraisal

The model examining T1 maternal affection predicting T3 GAD symptom severity via T2 positive reappraisal showed good fit (χ2(df = 429) = 3711.636, p < .001, CFI = .928, RMSEA = .067, 95% CI [.065, .069], SRMR = .031). All individual items loaded strongly onto their respective unidimensional constructs (T1 paternal abuse: λ = 0.614 – 0.890; T2 positive reappraisal: λ = 0.500 – 0.880; T3 GAD symptoms: λ = 0.805 – 0.879) (all p values <.001). Greater childhood maternal affection significantly predicted greater positive reappraisal at T2 (β = 0.035, SE = 0.009, z = 4.056, p < .001, d = 0.379), which in turn significantly predicted lower T3 GAD symptom severity (β = −0.204, SE = 0.036, z = 5.636, p < .001, d = −0.526). Indirect effects of childhood maternal affection → T2 positive reappraisal → adulthood GAD symptom severity were significant (β = −0.007, SE = 0.002, z = −3.350, p = .001, d = −0.313) with T2 positive reappraisal accounting for 20.00% of the relationship between maternal childhood affection and adulthood GAD symptom severity. Refer to Tables 5 and 6 for a summary of these longitudinal SEM mediation models. Refer to Figure 3 for a path diagram of this analysis.

Table 5.

T1 Childhood Maternal Affection Predicting T3 GAD Severity via T2 Positive Reappraisal, controlling for T1 GAD

Estimate 95% CI Cohen’s d

Regressions
 MatAf[T1] → GAD[T3] −0.028 [−0.056, 0.000] −0.181
 MatAf[T1] → PR[T2] 0.035*** [0.018, 0.051] 0.379
 PR[T2] → GAD[T3] −0.204*** [−0.275, −0.133] −0.526
 GAD[T1] → GAD[T3] 0.312*** [0.263, 0.360] 1.180

Covariances
 GAD[T1] ~~ MatAf[T1] −0.089*** [−0.116, −0.063] −0.619

Factor Loadings
 T1 MatAf 1 1.000*** [0.134, 0.168] -
 T1 MatAf 2 0.841*** [0.142, 0.183] 5.478
 T1 MatAf 3 0.916*** [0.131, 0.166] 4.978
 T1 MatAf 4 0.770*** [0.211, 0.259] 4.257
 T1 MatAf 5 0.797*** [0.673, 0.780] 4.378
 T3 GAD 1 1.000*** [1.000, 1.000] -
 T3 GAD 2 0.921*** [0.873, 0.970] 3.504
 T3 GAD 3 0.987*** [0.934, 1.039] 3.413
 T3 GAD 4 1.093*** [1.035, 1.150] 3.481
 T3 GAD 5 1.008*** [0.950, 1.067] 3.152
 T3 GAD 6 0.975*** [0.920, 1.030] 3.241
 T3 GAD 7 0.855*** [0.804, 0.906] 3.057
 T3 GAD 8 1.141*** [1.080, 1.201] 3.463
 T3 GAD 9 1.028*** [0.969, 1.087] 3.190
 T3 GAD 10 0.861*** [0.798, 0.923] 2.533
 T2 PR 1 1.000*** [1.000, 1.000] -
 T2 PR 2 1.055*** [0.966, 1.144] 2.170
 T2 PR 3 2.030*** [1.877, 2.183] 2.431
 T2 PR 4 2.143*** [1.985, 2.300] 2.483

Residual Variances
 T1 MatAf 1 0.458*** [0.426, 0.490] 2.642
 T1 MatAf 2 0.245*** [0.226, 0.264] 2.332
 T1 MatAf 3 0.379*** [0.353, 0.404] 2.745
 T1 MatAf 4 0.220*** [0.203, 0.237] 2.350
 T1 MatAf 5 0.203*** [0.186, 0.220] 2.202
 T3 GAD 1 0.113*** [0.098, 0.129] 1.326
 T3 GAD 2 0.151*** [0.130, 0.172] 1.324
 T3 GAD 3 0.133*** [0.116, 0.151] 1.389
 T3 GAD 4 0.173*** [0.150, 0.197] 1.338
 T3 GAD 5 0.164*** [0.143, 0.185] 1.420
 T3 GAD 6 0.121*** [0.105, 0.137] 1.361
 T3 GAD 7 0.123*** [0.108, 0.138] 1.474
 T3 GAD 8 0.133*** [0.112, 0.154] 1.149
 T3 GAD 9 0.121*** [0.104, 0.139] 1.286
 T3 GAD 10 0.185*** [0.164, 0.206] 1.610
 T2 PR 1 0.389*** [0.368, 0.410] 3.357
 T2 PR 2 0.429*** [0.404, 0.454] 3.150
 T2 PR 3 0.146*** [0.128, 0.164] 1.493
 T2 PR 4 0.151*** [0.130, 0.173] 1.278

Residual Variances
 Variance of (MatAf)[T1] 0.726*** [0.673, 0.780] 2.471
 Variance of (GAD)[T3] 0.341*** [0.305, 0.377] 1.721
 Variance of (PR)[T2] 0.120*** [0.102, 0.138] 1.253
 Variance of (GAD)[T1] 0.468*** [0.424, 0.512] 1.960

Defined Parameters
 Indirect Effect −0.007*** [−0.011, −0.003] −0.313
 Total Effect −0.035* [−0.063, −0.007] −0.225
*

p < .05;

***

p < .001.

T1 = time 1; T2 = time 2 (9 years after T1); T3 = time 3 (9 years after T2, 18 years after T1); MatAf = childhood maternal affection; GAD = generalized anxiety disorder; PR = positive reappraisal; CI = confidence interval; CFI = confirmatory fit index; RMSEA = root mean square error of approximation; SRMR = standardized root mean squared residual. Model fit indices: χ2(df = 429) = 3711.636, p < .001, CFI = 0.928, RMSEA = 0.067, 95% CI [0.065, 0.069], SRMR = 0.031.

Table 6.

T1 Childhood Paternal Affection Predicting T3 GAD Severity via T2 Positive Reappraisal, controlling for T1 GAD

Estimate 95% CI Cohen’s d

Regressions
PatAf[T1] → GAD[T3] −0.013 [−0.036, 0.010] −0.101
 PatAf[T1] → PR[T2] 0.043*** [0.029, 0.057] 0.562
 PR[T2] → GAD[T3] −0.205*** [−0.276, −0.133] −0.525
 GAD[T1] → GAD[T3] 0.314*** [0.266, 0.363] 1.180

Covariances
 GAD[T1] ~~ PatAf[T1] −0.096*** [−0.123, −0.069] −0.647

Factor Loadings
 T1 PatAf 1 1.000*** [1.000, 1.000] -
 T1 PatAf 2 0.803*** [0.779, 0.827] 6.080
 T1 PatAf 3 0.836*** [0.809, 0.863] 5.636
 T1 PatAf 4 0.784*** [0.760, 0.808] 5.960
 T1 PatAf 5 0.871*** [0.846, 0.897] 6.339
 T3 GAD 1 1.000*** [1.000, 1.000] -
 T3 GAD 2 0.921*** [0.873, 0.970] 3.504
 T3 GAD 3 0.987*** [0.934, 1.039] 3.412
 T3 GAD 4 1.093*** [1.035, 1.150] 3.481
 T3 GAD 5 1.008*** [0.950, 1.067] 3.151
 T3 GAD 6 0.975*** [0.920, 1.030] 3.241
 T3 GAD 7 0.855*** [0.804, 0.906] 3.057
 T3 GAD 8 1.140*** [1.080, 1.201] 3.463
 T3 GAD 9 1.028*** [0.969, 1.087] 3.190
 T3 GAD 10 0.860*** [0.798, 0.923] 2.533
 T2 PR 1 1.000*** [1.000, 1.000] -
 T2 PR 2 1.055*** [0.966, 1.144] 2.168
 T2 PR 3 2.029*** [1.876, 2.181] 2.436
 T2 PR 4 2.147*** [1.988, 2.305] 2.479

Residual Variances
 T1 PatAf 1 0.421*** [0.395, 0.447] 2.922
 T1 PatAf 2 0.244*** [0.226, 0.262] 2.518
 T1 PatAf 3 0.315*** [0.295, 0.335] 2.891
 T1 PatAf 4 0.306*** [0.287, 0.326] 2.835
 T1 PatAf 5 0.243*** [0.226, 0.260] 2.554
 T3 GAD 1 0.113*** [0.098, 0.129] 1.326
 T3 GAD 2 0.151*** [0.130, 0.172] 1.324
 T3 GAD 3 0.133*** [0.116, 0.151] 1.389
 T3 GAD 4 0.173*** [0.150, 0.197] 1.338
 T3 GAD 5 0.164*** [0.143, 0.185] 1.420
 T3 GAD 6 0.121*** [0.105, 0.137] 1.361
 T3 GAD 7 0.123*** [0.108, 0.138] 1.475
 T3 GAD 8 0.133*** [0.112, 0.154] 1.149
 T3 GAD 9 0.121*** [0.104, 0.139] 1.286
 T3 GAD 10 0.185*** [0.164, 0.206] 1.610
 T2 PR 1 0.389*** [0.368, 0.410] 3.357
 T2 PR 2 0.430*** [0.405, 0.455] 3.150
 T2 PR 3 0.147*** [0.129, 0.165] 1.509
 T2 PR 4 0.150*** [0.128, 0.171] 1.267

Residual Variances
 Variance of (PatAf)[T1] 0.960*** [0.905, 1.016] 3.150
 Variance of (GAD)[T3] 0.341*** [0.305, 0.378] 1.721
 Variance of (PR)[T2] 0.119*** [0.102, 0.136] 1.251
 Variance of (GAD)[T1] 0.468*** [0.424, 0.512] 1.960

Defined Parameters
 Indirect Effect −0.009*** [−0.013, −0.005] −0.392
 Total Effect −0.022 [−0.045, 0.002] −0.169
***

p < .001.

T1 = time 1; T2 = time 2 (9 years after T1); T3 = time 3 (9 years after T2, 18 years after T1); PatAf = childhood paternal affection; GAD = generalized anxiety disorder; PR = positive reappraisal; CI = confidence interval; CFI = confirmatory fit index; RMSEA = root mean square error of approximation; SRMR = standardized root mean squared residual. Model fit indices: χ2(df = 429) = 3590.401, p < .001, CFI = 0.933, RMSEA = 0.065, 95% CI [0.063, 0.067], SRMR = 0.028.

Figure 3. Longitudinal SEM Mediation of T1 Childhood Maternal Affection Predicting T3 GAD Severity via T2 Positive Reappraisal, controlling for T1 GAD.

Figure 3

Note. **p < .01; ***p < .001.

T1 = time 1; T2 = time 2 (9 years after T1); T3 = time 3 (9 years after T2, 18 years after T1); MatAf = childhood maternal affection; GAD = generalized anxiety disorder; PR = positive reappraisal; CI = confidence interval; CFI = confirmatory fit index; RMSEA = root mean square error of approximation; SRMR = standardized root mean squared residual. β = unstandardized beta regression weight with standard error in parenthesis; ε = item residual variances; ζ = factor residual variances.

Similarly, the model examining T1 paternal affection predicting T3 GAD symptom severity via T2 positive reappraisal showed good fit (χ2 (df = 429) = 3590.401, p < .001, CFI = .933, RMSEA = .065, 95% CI [0.063, 0.067], SRMR = .028). All individual items loaded strongly onto their respective unidimensional constructs (T1 paternal abuse: λ = 0.706 – 0.847; T2 positive reappraisal: λ = 0.487 – 0.888; T3 GAD symptoms: λ = 0.782 – 0.891) (all p values < .001). Greater childhood paternal affection significantly predicted greater positive reappraisal at T2 (β = 0.043, SE = 0.007, z = 6.018, p < .001, d = 0.562), which in turn significantly predicted lower GAD symptom severity (β = −0.205, SE = 0.036, z = 5.623, p < .001, d = −0.525). Indirect effects of childhood paternal affection → T2 positive reappraisal → adulthood GAD symptom severity were significant (β = −0.009, SE = 0.002, z = −4.198, p < .001, d = −0.392) with T2 positive reappraisal accounting for 40.91% of the relationship between paternal childhood affection and adulthood GAD symptom severity. Refer to Figure 4 for a path diagram of this analysis. Taken together, both of these findings support Hypothesis 2.

Figure 4. Longitudinal SEM Mediation of T1 Childhood Paternal Affection Predicting T3 GAD Severity via T2 Positive Reappraisal, controlling for T1 GAD.

Figure 4

Note. **p < .01; ***p < .001.

T1 = time 1; T2 = time 2 (9 years after T1); T3 = time 3 (9 years after T2, 18 years after T1); PatAf = childhood paternal affection; GAD = generalized anxiety disorder; PR = positive reappraisal; CI = confidence interval; CFI = confirmatory fit index; RMSEA = root mean square error of approximation; SRMR = standardized root mean squared residual. β = unstandardized beta regression weight with standard error in parenthesis; ε = item residual variances; ζ = factor residual variances.

As a sensitivity analysis, incremental predictions were tested to determine if positive reappraisal would mediate the paths between both maternal and paternal childhood affection predicting adulthood GAD severity if measures reflecting affection from both fathers and mothers were entered into the same model. This model had good fit (χ2(df = 656) = 1980.437, p < .001, CFI =0.988, RMSEA = 0.026, 95% CI [0.024, 0.027], SRMR = 0.030). T2 positive reappraisal significantly mediated the both childhood maternal affection–T3 adulthood GAD severity association (β = −0.006, SE = 0.003, z = −2.113, p < .05, d =−0.165), and the childhood paternal affection–T3 adulthood GAD severity association (β = −0.009, SE = 0.003, z = −3.531, p < .001, d =−0.276). The mediation pathways for both maternal and paternal affection were still significant after adjusting for affection from either parent. Refer to Table 7 for a summary of the longitudinal SEM mediation model.3

Table 7.

Supplemental incremental prediction analysis of T1 Childhood Maternal Affection and T1 Childhood Paternal Affection Predicting T3 GAD Severity via T2 Positive Reappraisal, controlling for T1 GAD

Estimate 95% CI Cohen’s d

Regressions
 MatAf[T1] → GAD[T3] −0.023 [−0.058, 0.011] −0.103
 PatAf[T1] → GAD[T3] 0.002 [−0.027, 0.030] 0.008
 MatAf[T1] → PR[T2] 0.026* [0.004, 0.048] 0.177
 PatAf[T1] → PR[T2] 0.038*** [0.020, 0.056] 0.325
 PR[T2] → GAD[T3] −0.235*** [−0.309, −0.161] −0.489
 GAD[T1] → GAD[T3] 0.323*** [0.273, 0.372] 0.998

Covariances
 GAD[T1] ~~ MatAf[T1] −0.087*** [−0.113, −0.062] −0.524
 GAD[T1] ~~ PatAf[T1] −0.096*** [−0.123, −0.069] −0.547

Factor Loadings
 T1 MatAf 1 1.000*** [1.000, 1.000] -
 T1 MatAf 2 0.867*** [0.830, 0.904] 3.580
 T1 MatAf 3 0.932*** [0.890, 0.974] 3.393
 T1 MatAf 4 0.764*** [0.727, 0.801] 3.127
 T1 MatAf 5 0.822*** [0.785, 0.859] 3.379
 T1 MatAf 6 0.531*** [0.496, 0.565] 2.343
 T1 MatAf 7 0.773*** [0.727, 0.818] 2.614
 T1 PatAf 1 1.000*** [1.000, 1.000] -
 T1 PatAf 2 0.806*** [0.780, 0.832] 4.720
 T1 PatAf 3 0.816*** [0.786, 0.845] 4.294
 T1 PatAf 4 0.787*** [0.760, 0.814] 4.467
 T1 PatAf 5 0.877*** [0.849, 0.905] 4.836
 T1 PatAf 6 0.680*** [0.649, 0.710] 3.385
 T1 PatAf 7 0.724*** [0.692, 0.756] 3.468
 T3 GAD 1 1.000*** [1.000, 1.000] -
 T3 GAD 2 0.925*** [0.871, 0.979] 2.641
 T3 GAD 3 1.011*** [0.951, 1.070] 2.599
 T3 GAD 4 1.102*** [1.04, 1.1640] 2.711
 T3 GAD 5 1.021*** [0.957, 1.086] 2.415
 T3 GAD 6 0.994*** [0.932, 1.056] 2.443
 T3 GAD 7 0.854*** [0.799, 0.909] 2.395
 T3 GAD 8 1.142*** [1.075, 1.208] 2.622
 T3 GAD 9 1.033*** [0.968, 1.098] 2.420
 T3 GAD 10 0.898*** [0.826, 0.969] 1.909
 T2 PR 1 1.000*** [1.000, 1.000] -
 T2 PR 2 1.071*** [0.953, 1.188] 1.397
 T2 PR 3 1.969*** [1.773, 2.165] 1.537
 T2 PR 4 2.013*** [1.812, 2.215] 1.530

Residual Variances
 T1 MatAf 1 0.515*** [0.475, 0.554] 1.991
 T1 MatAf 2 0.254*** [0.232, 0.277] 1.761
 T1 MatAf 3 0.406*** [0.377, 0.435] 2.162
 T1 MatAf 4 0.259*** [0.238, 0.280] 1.899
 T1 MatAf 5 0.212*** [0.192, 0.231] 1.654
 T1 MatAf 6 0.222*** [0.204, 0.240] 1.891
 T1 MatAf 7 0.387*** [0.359, 0.414] 2.171
 T1 PatAf 1 0.433*** [0.399, 0.467] 1.96
 T1 PatAf 2 0.247*** [0.228, 0.266] 1.992
 T1 PatAf 3 0.356*** [0.333, 0.380] 2.32
 T1 PatAf 4 0.308*** [0.286, 0.331] 2.122
 T1 PatAf 5 0.242*** [0.222, 0.262] 1.856
 T1 PatAf 6 0.400*** [0.375, 0.426] 2.399
 T1 PatAf 7 0.422*** [0.395, 0.449] 2.366
 T3 GAD 1 0.123*** [0.103, 0.143] 0.933
 T3 GAD 2 0.157*** [0.132, 0.182] 0.955
 T3 GAD 3 0.124*** [0.104, 0.144] 0.943
 T3 GAD 4 0.177*** [0.148, 0.206] 0.94
 T3 GAD 5 0.164*** [0.137, 0.190] 0.961
 T3 GAD 6 0.116*** [0.095, 0.136] 0.857
 T3 GAD 7 0.131*** [0.111, 0.151] 1.011
 T3 GAD 8 0.145*** [0.118, 0.171] 0.837
 T3 GAD 9 0.128*** [0.106, 0.151] 0.867
 T3 GAD 10 0.167*** [0.143, 0.191] 1.07
 T2 PR 1 0.380*** [0.356, 0.404] 2.385
 T2 PR 2 0.415*** [0.386, 0.444] 2.208
 T2 PR 3 0.140*** [0.107, 0.173] 0.654
 T2 PR 4 0.179*** [0.142, 0.217] 0.739

Residual Variances
 Variance of (MatAf)[T1] 0.670*** [0.612, 0.728] 1.775
 Variance of (PatAf)[T1] 0.949*** [0.889, 1.008] 2.443
 Variance of (GAD)[T3] 0.330*** [0.292, 0.367] 1.337
 Variance of (PR)[T2] 0.127*** [0.105, 0.150] 0.876
 Variance of (GAD)[T1] 0.458*** [0.413, 0.503] 1.565
 Defined Parameters
 Indirect Effect of MatAf −0.006* [−0.012, 0.000] −0.165
 Indirect Effect of PatAf −0.009*** [−0.014, −0.004] −0.276
 Total Effect −0.037* [−0.067, −0.007] −0.187
*

p < .05;

**

p < .01;

***

p < .001.

T1 = time 1; T2 = time 2 (9 years after T1); T3 = time 3 (9 years after T2, 18 years after T1); MatAf = childhood maternal affection; PatAf = childhood paternal affection; GAD = generalized anxiety disorder; PR = positive reappraisal; CI = confidence interval; CFI = confirmatory fit index; RMSEA = root mean square error of approximation; SRMR = standardized root mean squared residual. Model fit indices: (χ2(df = 656) = 1980.437, p < 0.001, CFI =0.988, RMSEA = 0.026, 95% CI [0.024, 0.027], SRMR = 0.030)

4. Discussion

The current study examined the longitudinal effects of positive reappraisal coping as a mediator in the relationship between childhood experiences (parental childhood abuse and affection) on adulthood GAD symptom severity to understand better the mechanisms that parental abuse/affection may have on the onset and maintenance of GAD symptoms in adulthood. Our findings showed positive reappraisal coping significantly mediated the relationship of both parental roles (examined separately) in perpetrating abuse and GAD symptom severity. Similarly, positive reappraisal coping significantly mediated the relationship between maternal/paternal affection and GAD symptom severity (examined separately and in the same model). Specifically, participants who retrospectively reported higher levels of childhood abuse and lower levels of parental affection from either parental figure separately displayed decreased positive reappraisal tendencies. Subsequently, reduced inclination to use positive reappraisal resulted in increased GAD symptoms in adulthood.

Our findings lend support to the idea that lower tendencies to engage in positive reappraisal is a possible mechanism linking increased maternal/paternal abuse during childhood to heightened GAD symptom severity in adulthood. Specifically, these findings lend credence to the theory that maternal/paternal abuse during childhood might result in poor acquisition, usage, and consolidation of positive reappraisal strategies. Subsequently, the lack of deployment of positive reappraisal to regulate emotions may then serve as a risk factor in the development of GAD symptoms into adulthood. Our findings align with existing cross-sectional research (e.g., Kim & Cicchetti, 2010; Kim-Spoon et al., 2013) and extend previous research by demonstrating the adverse effects of childhood abuse on tendencies to capitalize on harnessing positive reappraisal in adulthood. Taken together, our findings show that parental abuse from both parental figures during childhood have considerably deleterious effects on adulthood mental health and underscores the importance of emotional coping strategies such as positive reappraisal in preventing the development of GAD symptoms.

Conversely, parental emotional socialization (i.e., parental modeling, responses, and engagements with children’s emotions; Eisenberg et al., 1998) might be a plausible underlying reason behind why higher levels of both maternal and paternal affection during childhood separately predicted lower GAD symptom severity in adulthood via more frequent use of positive reappraisal strategies. Indeed, prior studies (e.g., Eisenberg et al., 1998; Fabes et al., 2002; Morris et al., 2007; Saarni, 1999) have found that the development of adaptive positive reappraisal in childhood was facilitated by parents who supportively engaged in emotion socialization. Our findings support the notion that positive reappraisal tendencies at midlife might be a possible mechanism linking maternal/paternal affection and GAD symptoms in later adulthood. It is also worth noting that no studies have examined positive reappraisal in the context of an 18-year period. Our findings thus extend existing literature and suggest that parental affection during childhood could be a significant protective factor in the development of GAD symptoms in adulthood through habitual utilization and practice of positive reappraisal.

Additionally, the current study had two related and noteworthy observations. Supplementary incremental prediction analysis including both maternal and paternal abuse in the same model revealed that only maternal but not paternal abuse during childhood was significantly associated with increased GAD symptoms via decreased positive reappraisal. In contrast, when including both parental roles in the same model, both maternal and paternal affection remained significantly associated with reduced GAD symptoms via increased positive reappraisal. These findings are worth noting as much of the extant literature in this area examining parental abuse or affection often does not distinguish between parental figures (e.g., Butterfield et al., 2021; Kim & Cicchetti, 2010) or does not account for paternal roles (Brumariu & Kerns, 2010; Rutter, 1981). A small handful of studies point to maternal figures as having significantly more impact than paternal figures in terms of effects on psychological well-being (Rosenthal & Kobak, 2010) and common mental disorders (Sanghvi et al., 2023). However, other studies suggest that paternal figures may be stronger predictors of mental health outcomes (Summers et al., 1998). Our current findings seem to align more with the extant literature, which suggests that maternal (vs. paternal) abuse is especially deleterious on tendencies to engage in positive reappraisal, which may, in turn, lead to increased GAD symptoms. Maternal abuse may present a more immediate risk for adult psychopathology than paternal abuse, potentially shaped by differences in interaction frequency with each parent (Moretti & Craig, 2013). On the other hand, our findings also highlight the importance of both parental figures in the development and tendencies to engage in positive reappraisal via parental affection (perhaps via positive behavioral modeling and related processes) and its significant association with reduced GAD severity in adulthood. Taken together, these findings are vital in informing treatment targets and prevention efforts geared toward improving positive reappraisal tendencies in individuals exposed to parental abuse (especially maternal abuse) and low parental affection (from both parental figures) during childhood.

Nonetheless, the current study had some limitations. First, parental abuse and affection were measured retrospectively, which might be susceptible to recall bias. However, empirical evidence has supported the construct validity and retest reliability of retrospective reports of childhood experiences (Cay et al., 2022; Schauss et al., 2021; Yancura & Aldwin, 2009; Zanotti et al., 2018). Further, retrospective reports of childhood experiences demonstrated stability over time and were independent of mood (Gerlsma et al., 1993; Gerlsma et al., 1994). These studies indicate that it is unlikely that retrospective reports of childhood experiences in this study were affected by recall biases. Second, only positive reappraisal, one aspect of emotion regulation, was examined in this study. Aside from positive reappraisal, other emotion regulation strategies exist, such as acceptance, avoidance, problem-solving, rumination, and suppression (Gross, 2014; Marr et al., 2022), which were not included in the scope of this study. Emotion regulation strategies such as suppression have been found to be maladaptive in nature and were associated with poorer outcomes, including psychopathology (Dryman & Heimberg, 2018; Hu et al., 2014). Future research should examine how childhood abuse or parental affection may affect the development and utilization of these other emotion regulation strategies in adulthood and their potential to function as mechanisms for childhood experiences predicting future GAD symptom severity. Lastly, the participant demographics in the current research are mostly White, highly educated, financially and physically healthy, and married individuals (Radler & Ryff, 2010). Furthermore, the current data set did not include information on the participant’s family structure during childhood. Hence, these findings may not be entirely generalizable for more culturally or socio-economically diverse contexts and could not account for non-traditional family structures. For example, childrearing norms might differ across racial/ethnic groups and various family structures in the U.S. (Pachter et al., 2006; Weinraub & Wolf, 1983), which might substantially alter the results, warranting further research. However, the study could be a basis for exploration by future researchers on the etiology of GAD symptoms in more diverse populations. Limitations notwithstanding, study strengths included the use of longitudinal structural equation mediation modeling in ways that reduced measurement error, established temporal precedence, and improved the inferential rigor of our findings (Cole & Maxwell, 2003). Another strength was the novelty of the research question. Specifically, examining both parental roles in the context of abuse and affection during childhood separately allowed for the determination of their potentially different effects on positive reappraisal and GAD symptom severity in adulthood.

In summary, the present study found that positive reappraisal significantly mediated the relationship longitudinally between higher childhood parental abuse and lower childhood parental affection on GAD symptoms in adulthood. Examined separately, childhood maternal and paternal maltreatment was associated with decreased positive reappraisal, which led to increased GAD symptoms in adulthood. Lower childhood maternal and paternal affection were separately associated with reduced positive reappraisal, which resulted in increased GAD symptoms in adulthood. Examined concurrently, only maternal abuse was significantly associated with elevated GAD symptoms via decreased positive reappraisal tendencies. However, both maternal and paternal affection remained significant predictors of lower GAD symptoms via positive reappraisal coping. These findings highlight positive reappraisal as a potential underlying mechanism linking childhood experiences to the development and maintenance of psychopathology, which may have important practical implications for the treatment and prevention of elevated GAD symptoms.

Highlights.

  • Positive reappraisal may be a mechanism linking childhood experiences with adulthood psychopathology

  • Positive reappraisal mediated the relationship between childhood experiences and adulthood GAD symptom severity

  • Parental abuse during childhood and parental affection during childhood was associated with increased and decreased positive reappraisal respectively

  • Lower positive reappraisal was inversely associated with GAD symptom severity in adulthood

Funding:

The data used in this publication were made available by the Data Archive on the University of Wisconsin - Madison Institute on Aging, 1300 University Avenue, 2245 MSC, Madison, Wisconsin 53706–1532. Since 1995 the Midlife Development in the United States (MIDUS) study has been funded by the following: John D. and Catherine T. MacArthur Foundation Research Network; National Institute on Aging (P01-AG020166; U19-AG051426). The original investigators and funding agency are not responsible for the analyses or interpretations presented here.

Footnotes

1

Although the MIDUS study Time 1 (T1) data collection had 7,108 participants and Time 2 (T2) had 4,512, only the 3,294 participants had data for diagnostic assessments at both T1 and Time 3 (T3) (i.e., the participants selected for the present study).

2

Due to poor factor loading, the fifth item of the positive reappraisal was dropped in all four models of analyses (λs = 0.280, 0.279, 0.275, and 0.231, in the original four models).

3

Sensitivity analyses showed that our results remained similar when we used multiple imputation as the missing data strategy.

Declarations of interest:

None

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