دانلود مقاله ISI انگلیسی شماره 38680
عنوان فارسی مقاله

عاطفه مثبت و کنترل توجه ارتباط بین عاطفه منفی و خلق افسرده را تعدیل می کند

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
38680 2013 6 صفحه PDF سفارش دهید محاسبه نشده
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عنوان انگلیسی
Positive affectivity and attentional control moderate the link between negative affectivity and depressed mood
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Personality and Individual Differences, Volume 54, Issue 7, May 2013, Pages 802–807

کلمات کلیدی
عاطفه منفی - عاطفه مثبت - خود تنظیم - کنترل توجه - کنترل پر زحمت - افسردگی
پیش نمایش مقاله
پیش نمایش مقاله عاطفه مثبت و کنترل توجه ارتباط بین عاطفه منفی و خلق افسرده را تعدیل می کند

چکیده انگلیسی

Abstract Research and theory suggest that deficits in trait positive affectivity (PA) and in capacity for executive control of attention (i.e., attentional control or AC) may each intensify risk for depressive symptoms associated with high trait negative affectivity (NA). In contrast, high levels of PA and AC should protect against that risk. However, prospective tests of such predictions are rare. Furthermore, if PA and AC both modulate NA-related risk, it remains to be seen if those effects are independent and complementary or if they operate in an overlapping manner. This study assessed baseline temperament and change in depressed mood across one month in a sample of 125 adolescents. Results supported both PA and AC as modulators of NA’s association with changes in depressed mood. Furthermore, results suggested that these modulating effects are largely non-overlapping and complementary, such that when both PA and AC are low, high NA predicts increases in depressed mood. In contrast, high NA predicts decreases in depressed mood when both PA and AC are high. Limitations of these findings, directions for future research, and implications for prevention are discussed.

مقدمه انگلیسی

Introduction Understanding risk factors for depression in young people is critical for its prevention (Flannery-Schroeder, 2006). Consequently, the etiological roles played by temperament factors in depression have become the focus of considerable attention (e.g., Compas, Connor-Smith, & Jaser, 2004). Interest has focused particularly on two dimensions of emotional reactivity, labeled negative and positive affectivity (NA and PA, respectively; Clark, Watson, & Mineka, 1994) and one self-regulatory dimension, labeled effortful control (EC; Rothbart & Rueda, 2005). Individuals high in NA are prone to experiencing negative mood states reflecting displeasurable engagement with the world, such as distress, sadness, and irritability. Those high in PA tend to experience positive mood states reflecting pleasurable engagement with the world, such as interest, enjoyment, and enthusiasm. The EC dimension encompasses three facets (Rothbart & Rueda, 2005): the capacity for executive control of attention including ability to focus, shift, and sustain attention in service of goal-directed and adaptive behavior (i.e., attentional control [AC]), the capacity to initiate responses in opposition to one’s reactive motivation (i.e., activation control), and the capacity to suppress inappropriate motor responses (i.e., inhibitory control). With regard to temperamental reactivity, high levels of NA (i.e., distress proneness) and low levels of PA (i.e., deficits in the capacity for pleasurable engagement with the world) are associated with depressive symptoms in children, adolescents, and adults both concurrently (e.g., Clark et al., 1994 and De Pauw and Mervielde, 2010) and prospectively (e.g., Joiner and Lonigan, 2000 and Verstraeten et al., 2009). With regard to self-regulatory aspects of temperament, low levels of EC have consistently been linked concurrently to depressive (and internalizing) symptoms (e.g., Dinovo and Vasey, 2011, Loukas and Roalson, 2006 and Verstraeten et al., 2009). Furthermore, of EC’s facets, AC appears to be most strongly related to depressive (and internalizing) symptoms (e.g., Lengua et al., 1999, Muris et al., 2007 and Muris and Ollendick, 2005). Although several prospective studies have found EC to predict change in internalizing symptoms (e.g., Lemery-Chalfant et al., 2008 and Oldehinkel et al., 2007), studies looking specifically at depressive symptoms have so far not found a prospective association (Loukas and Roalson, 2006 and Verstraeten et al., 2009). To our knowledge, no prospective study to date has focused specifically on the AC facet. In addition to their direct associations with symptoms, theory and emerging evidence suggest that PA and AC may each modulate the risk for depressive symptoms that is associated with high levels of NA. In the case of PA, evidence suggests that positive emotions can buffer the deleterious effects of negative emotions and stress (e.g., Tugade & Fredrickson, 2004). PA’s potential to modulate NA’s link to depression is supported by several empirical studies, which demonstrate that an NA × PA interaction predicts depressive symptoms both concurrently and prospectively. For example, in two psychiatric inpatient youth samples Joiner and Lonigan (2000) found that when PA was low, high levels of NA were associated with a concurrent diagnosis of depression and an increase in depressive symptoms across two months whereas when PA was high they were not. This interaction has been replicated in youth samples both cross-sectionally (Loney, Lima, & Butler, 2006) and prospectively (Wetter & Hankin, 2009). However, not all studies have found this pattern. For example, Verstraeten et al. (2009) failed to find the NA × PA interaction either cross-sectionally or prospectively. Given this inconsistency, the first aim of the present study was to provide an additional prospective test of PA as a moderator of the link between NA and depressive symptoms in a youth sample. AC may also moderate NA-related risk for depressive symptoms. This view is in line with an interactive temperament model proposed by Lonigan and Phillips (2001) and elaborated by Lonigan, Vasey, Phillips, and Hazen (2004). Although that model was focused primarily on anxiety symptoms, the authors also noted its relevance for understanding NA-related risk for depressive symptoms. Specifically, they suggested that an individual with high NA may experience less anxious and depressive symptoms than high NA peers if he or she is high in AC, permitting control of or compensation for NA-driven responses (e.g., intrusive negative thoughts). Muris and Ollendick (2005) similarly emphasize the potential for AC to moderate the link between NA and depressive symptoms. Several studies provide cross-sectional evidence supporting this model (Muris, Meesters, & Blijlevens, 2007; unpublished data by Vasey et al., 2002, described in Lonigan et al., 2004) and several studies report similar results using measures of the broader EC dimension (e.g., Oldehinkel et al., 2007 and Verstraeten et al., 2009). Consistent with expectation, in these studies high NA was associated with more depressive symptoms when regulatory capacity was low than when it was high. However, to date this interaction has not been found prospectively. Two studies predicting depressive symptoms (Mezulis et al., 2011 and Verstraeten et al., 2009) and two others predicting the broader dimension of internalizing symptoms (Eisenberg et al., 2004 and Oldehinkel et al., 2007) failed to find that EC moderates the relation between NA and future symptoms when controlling for baseline symptoms. However, these studies used a broadband measure of EC rather than focusing on AC. To our knowledge, no prospective studies examining the NA × AC interaction predicting depressive (or internalizing symptoms) have been conducted. Thus, the second aim of the present study was to provide a further test of the hypothesis that individual differences in AC should serve to modulate the risk for depressive symptoms associated with heightened NA. The third and final aim of the present study was to test the NA × AC and NA × PA interactions simultaneously to determine if the moderating effects of AC and PA are separate or if they instead operate in an overlapping manner. Although evidence suggests that PA and AC (and EC) are modestly positively correlated, studies also find the two dimensions to have independent associations with depressive symptoms (e.g., Lengua et al., 1999 and Verstraeten et al., 2009). Consequently, we hypothesize that the moderating effects of each will not overlap (i.e., the NA × AC and NA × PA interactions should not be redundant with one another). We are aware of only one study of a youth sample that has reported results relevant to this hypothesis. Verstraeten et al. (2009) simultaneously tested the NA × EC, PA × EC, and NA × PA interactions in a regression model predicting depressive symptoms in an unselected sample of adolescents. Only the NA × EC interaction was significant cross-sectionally and none of these interactions was significant predicting change in symptoms across one year. However, given that this study failed to find either an NA × EC or NA × PA interaction, it provided no opportunity to test the independence of these interactions. Consequently, there remains a need for further research. In sum, the present study tested the following hypotheses prospectively across one month in a youth sample: (1) The NA × PA interaction will predict change in depressed mood over time such that high levels of NA will predict increases in depressed mood more strongly when PA is low versus high; (2) The NA × AC interaction will predict change in depressed mood over time such that high levels of NA will predict increases in depressed mood more strongly when AC is low versus high; (3) Both the NA × AC and NA × PA interactions should be significant when tested simultaneously.

نتیجه گیری انگلیسی

3. Results Table 1 shows means, SDs, and correlations for all variables. A pairwise t-test comparing POMS Depressed Mood scores at T1 and T2 showed they did not differ significantly (t [125] = 1.88, p = .062) although there was a trend for depressed mood to be higher at T1 than T2. Table 1. Correlations and descriptive statistics. Variable 1 2 3 4 5 6 7 M SD 1. Sex – – – 2. Age .12 – 14.35 1.75 3. PANAS NA .17 −.04 – 15.95 4.98 4. PANAS PA −.06 .08 .17 – 33.98 7.49 5. ACS −.13 .15 −.16 .22⁎ – 53.06 8.52 6. T1 POMS-A Depressed Mood .01 .11 .34⁎⁎ −.17 .09 – 1.90 2.40 7. T2 POMS-A Depressed Mood .11 −.06 .24⁎⁎ .02 −.04 .32⁎⁎ – 1.47 2.13 8. Change in Depressed Mood (T2–T1) .08 −.15 −.11 .17 −.11 −.65⁎⁎ .51⁎⁎ −.43 2.65 Note: n = 125. ⁎ p < .05. ⁎⁎ p < .01. Table options We initially conducted separate regression analyses predicting change in POMS Depressed Mood (T2–T1), the first testing the NA × PA interaction and the second testing the NA × AC interaction. In both cases regression diagnostics revealed the same high influence data point (DFFITS > 2 in both cases). Therefore, the results shown in Table 2 reflect the omission of that data point. In both analyses Sex, Age, NA, PA, ACS, and T1 Depressed Mood were entered in Step 1 and the interaction(s) entered in Step 2. Table 2. Hierarchical regression analyses predicting T2 depressed mood (z-score). Variable/Step ΔR2 B (SE) sr ΔR2 B (SE) sr ΔR2 B (SE) sr Step 1 .448⁎⁎ .448⁎⁎ .448⁎⁎ Intercept −.34 (.18) −.50 (.18) −.41 (.18) Sex .22 (.18) .08 .24 (.19) .08 .22 (.18) .08 Age −.23 (.18) −.08 −.24 (.18) −.09 −.24 (.18) −.09 NA .15 (.21) .05 .02 (.22) .01 .02 (.21) .01 PA −.04 (.21) −.01 .20 (.20) .07 .02 (.21) .01 ACS −.06 (.19) −.02 −.07 (.19) −.02 −.05 (.19) −.02 POMS-A −1.78⁎⁎ (.20) −.58⁎⁎ −1.65⁎⁎ (.21) −.54 −1.71⁎⁎ (.19) −.55⁎⁎ Depressed Mood at T1 Step 2 .031⁎ .025⁎ .044⁎⁎ NA × PA −.19⁎ (.20) −.18⁎ −.42⁎ (.20) −.14⁎ NA × ACS −.40⁎ (.17) −.16⁎ −.17† (.17) −.12† Note: N = 125; all main effect variables were standardized; all coefficients come from the final model. ⁎⁎ p < .01. ⁎ p < .05. † p = .077. Table options In the first analysis, only T1 Depressed Mood was significant in Step 1. However, the addition of the NA × PA interaction in Step 2 produced a significant increment in R2. To interpret this interaction we tested simple slopes and examined the region of significance. Consistent with expectation and as shown in Fig. 1, NA was significantly positively associated with change in mood when PA was low (−1 SD; simple slope = .66 p = .017), but not when PA was high (+1 SD; simple slope = −.36, p = .224). Examination of the region of significance revealed that higher levels of NA significantly predicted increases in depressed mood for PA < −.60 SDs (i.e., when PA was more than 0.60 SDs below average). NA was not significantly negatively correlated with change in mood within the observed range of PA scores. NA×PA interaction predicting change in depressed mood controlling for baseline ... Fig. 1. NA × PA interaction predicting change in depressed mood controlling for baseline mood. Figure options In the second analysis, the addition of the NA × AC2 interaction on Step 2 produced a significant increment in R2. Consistent with expectation and as shown in Fig. 2, simple slope analyses revealed that the positive relation between NA and change in depressed mood approached significance at low AC (−1 SD; simple slope = .41, p = .071), but was not significant at high AC (+1 SD; simple slope = −.38, p = .241). Examination of the region of significance revealed that higher levels of NA significantly predicted increases in depressed mood for ACS < −1.15 (i.e., when ACS was less than 1.15 SDs below average). NA was not significantly negatively correlated with changes in mood within the observed range of ACS scores. NA×AC interaction predicting change in depressed mood controlling for baseline ... Fig. 2. NA × AC interaction predicting change in depressed mood controlling for baseline mood. Figure options To determine if the moderating effects of PA and AC were independent, we conducted a third regression analysis in which both interactions were entered simultaneously in Step 2. Results revealed that the two interactions together accounted for a significant increment (4.44%) in variance beyond Step 1. The NA × PA interaction remained significant (p = .038) and retained 75% of its magnitude compared to the first regression model (sr = −.14 vs. −.18 when it was entered alone). Similarly, although the NA × AC interaction only approached significance (p = .077), its magnitude was only modestly reduced (sr = −.12 vs. −.16 when it was entered alone). The pattern of both interactions was very similar to the patterns in the previous separate analyses. To further probe the moderating effects of PA and AC, we used PROCESS (Hayes, 2012; available at http://www.afhayes.com), to examine the effect of NA on change in mood at the four combinations of high (+1 SD) and low (−1 SD) levels of PA and AC. Figure 3 shows that higher levels of NA significantly predicted increases in depressed mood only when both PA and AC were low (simple slope = .74, p = .007). In contrast, higher levels of NA significantly predicted decreases in depressed mood when both PA and AC were high (simple slope = −.71, p = .047). Neither the combination of high PA and low AC (simple slope = −.10, p = .76) or low PA and high AC (simple slope = .14, p = .74) yielded significant effects of NA. The joint effects of combinations of high and low PA and AC on NA’s association ... Fig. 3. The joint effects of combinations of high and low PA and AC on NA’s association with change in depressed mood.

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