Keywords perinatal depression - brooding - maternal-fetal bonding - adaptation to pregnancy
            
  
         
         
            Being pregnant can be a very exciting yet also complex experience for many women.
               The hormonal changes and adjustment difficulties that are typical of pregnancy can
               cause frequent mood disturbances, which, if exacerbated, can lead to the onset of
               mood disorders.[1 ] Specifically, perinatal depression has notably high incidence rates, particularly
               during the third trimester of pregnancy.[2 ]
               
            Perinatal depression comprises the presence of major depressive disorder symptoms,
               with onset during pregnancy, lasting up to 3 months postpartum, after which it is
               termed as postpartum depression.[2 ] The prevalence rate of perinatal depression is between 10 and 20% and rising to
               26% in adolescent mothers.[3 ]
               [4 ] However, despite this high prevalence, 14 to 25% of pregnant women who meet diagnostic
               criteria for this problem are not diagnosed or receive psychological treatment.[2 ] This is due to the lack of training of health professionals to detect mental health
               problems and the stigmatization of maternal depression, with depressive symptomatology
               being attributed to the organic condition of being pregnant.[5 ]
               
            Developing effective ways to detect and prevent the occurrence of depressive symptoms
               during pregnancy is highly relevant, not only because of the medical and psychological
               consequences that depression has on the mother and the baby, but also because of its
               influence on the quality of the relationship that the mother will establish with him/her.[6 ] Studies show that depressive symptomatology in pregnancy, when not properly treated,
               is associated with higher risk of premature birth, as well as with lower birth weight
               and more heightened irritability in the newborn.[7 ]
               [8 ]
               [9 ] In addition, depressive symptomatology in pregnancy is considered a risk factor
               for developing adequate maternal–fetal bonding. Several studies show a relationship
               between depressive symptomatology during pregnancy, lower quality of breastfeeding
               2 months after childbirth, and a poorer experience of motherhood 1 year after childbirth.[10 ]
               
            In view of all these issues and given the relevance of establishing adequate models
               for the prevention of perinatal depression, this study aimed to identify possible
               mechanisms and paths influencing its development, going beyond the risk factors that
               have been previously established in the literature, as detailed below.
          
         
         Risk Factors for Perinatal Depression 
         Risk Factors for Perinatal Depression 
            Research has focused on the better understanding of depressive symptomatology during
               pregnancy and its prevention. Different risk factors contributing to its development
               have been established. The exhaustive study by Lancaster et al[11 ] established the main sociodemographic risk factors for the development of perinatal
               depression as: low socioeconomic level, use of private medical insurance (the review
               was conducted in a population within the American health system), among others. In
               addition, as shown in other investigations, psychological or psychosocial factors
               include the presence of anxiety during pregnancy,[12 ] having a previous history of depression,[13 ]
               [14 ] the experience of negative stressful life events,[15 ]
               [16 ]
               [17 ] and a lower educational level.[18 ] Moreover, the lack of support from a significant other such as one's partner is
               linked to an elevated risk of developing depressive symptoms during the third trimester
               of pregnancy.[11 ]
               [17 ]
               [19 ]
               [20 ]
               
            Despite advances in understanding these risk factors, there is still considerable
               room for improvement in predicting and detecting perinatal depression during pregnancy,
               as discussed above. The most recent research highlights the need to better understand
               the role of other psychosocial processes, both individual and relational, that have
               not yet been fully considered in this field.[2 ]
               [11 ] From this view, several key aspects that must be considered include: (1) how the
               difficulties women have in adapting to their pregnancy, as well as (2) the way in
               which they regulate the negative emotions this produces in them and (3) the quality
               of the bonding they establish with their baby, can all relate and contribute to the
               development of perinatal depressive symptoms.
         Adaptation to Pregnancy 
            The transition to motherhood involves major adjustments and changes to all aspects
               of a woman's life.[21 ] Adaptation to pregnancy is thus defined as the woman's acceptance responses to the
               changes produced by her baby's development and the satisfaction of being pregnant.[22 ] It is fundamental to having a healthy experience of pregnancy.[23 ] A certain ambivalence is common among pregnant women, since total and complete adaptation
               to pregnancy is unusual.[22 ]
               [24 ] Nevertheless, insufficient adaptation to pregnancy is linked to lower tolerance
               of changes and physical discomfort, a greater fear and anxiety, and a tendency to
               experience low mood and/or despair that can lead to conditions of clinical depression
               during pregnancy.[22 ]
               [25 ]
               
            The mechanisms involved in the contribution of low adaptation to pregnancy to perinatal
               depression onset may not be particularly clear, a link could be mediated by various
               factors: individual factor, by the way that negative emotions produced by the adaptation
               difficulties of pregnant women are managed (brooding); and relational factor, by the
               quality of the maternal–fetal bond that the mother is establishing with her baby as
               a result of these adaptation problems. Both factors could be two of the main ways
               through which depressive symptoms during the third trimester of pregnancy develop
               because of low adaptation to pregnancy.
         Brooding 
            Individual cognitive processes, such as how a pregnant woman interprets emotionally
               ambiguous situations in her environment, as well as the thinking styles used to cope
               with negative moods[26 ] can facilitate the development of perinatal depressive symptomatology.[27 ] In this sense, a ruminative style, characterized by higher attention to negative
               cognitions,[28 ] could predict and maintain the negative mood states typical of depressive symptoms[29 ]
               [30 ] acting as downward spirals.[31 ]
               
            Rumination comprises the occurrence of recurrent thoughts that focus the individual's
               attention on negative moods and their consequences.[32 ] Specifically, brooding involves persistent passive thinking in response to sad moods,
               focused on past problems.[32 ]
               [33 ]
               
            Numerous studies show that higher levels of brooding are generally associated with
               greater vulnerability to develop depressive episodes as well as with increases in
               their duration.[34 ] In the case of pregnancy, higher levels of brooding have been linked to higher levels
               of depressive symptomatology.[27 ] Specifically in the third trimester of pregnancy, brooding is a predictor of depressive
               symptomatology[27 ]
               [35 ]
               [36 ] and thus an important subject of study as a possible mechanism involved in the development
               of perinatal depression because of problems in adapting to pregnancy.
         Maternal–Fetal Bonding 
            Poorer quality of bonding during pregnancy, because of pregnancy adaptation issues,
               should also be considered as a clear predictor of perinatal depressive symptoms. Maternal–fetal
               bonding is the mental representation a mother develops regarding her baby and her
               care behaviors toward it (i.e., having good nutrition, trying to maintain a stable
               state of mind, the experience of early motherhood or nesting).[37 ] An adequate bonding must be established to ensure the further development of the
               child and its relationship with the mother. Good quality bonding during pregnancy
               is associated with higher quality of mother–baby interactions 12 weeks after giving
               birth.[38 ]
               
            On the one hand, poor adaptation to pregnancy is one of the risk factors for the development
               of low-quality maternal bonding.[23 ] Women who have more difficulty in adjusting to their pregnancy experience greater
               ambivalence toward pregnancy and dislike of their physical image, exhibit fewer care
               behaviors, and feel less attached to their baby,[39 ] resulting in poorer quality bonding.[23 ] On the other hand, poorer quality maternal–fetal bonding is related to the development
               of depressive symptomatology.[1 ]
               [40 ]
               [41 ] Bonding can be considered as a protective factor during pregnancy against difficulties
               and/or tensions that may arise in the adjustment to pregnancy, including in the later
               postpartum stage.[1 ]
               
            Given the clear evidence of adaptation to pregnancy problems as direct contributors
               to the establishment of worse bonding[23 ] and the well-established connection between pregnancy adaptation issues and the
               development of perinatal depression,[22 ] the possible mediating role of low bonding in the latter relationship between adaptation
               to pregnancy and perinatal depression must be considered.
         Study Aims 
            The objective of this study was to test the association between symptoms of perinatal
               depression and poorer adaptation to pregnancy, in which brooding and bonding act as
               mediating variables in the relationship between poorer adaptation to pregnancy and
               the development of perinatal depression. Thus, we predicted that poor adaptation to
               pregnancy would predict elevated levels of brooding and low levels of bonding, which
               in turn would lead to higher levels of depressive symptoms during the third trimester
               of pregnancy.
            First, previous literature shows that women with poor adaptation to pregnancy may
               present negative mood states that could lead to depressive symptoms.[22 ] It has been suggested that the appearance of such depressive emotional states would
               be mediated by the mother's ruminative response style, as a maladaptive emotion regulation
               strategy in response to problems of adaptation.[26 ] Research has also shown that depressive rumination is a predictor of depressive
               symptomatology in the last trimester of pregnancy.[27 ]
               [34 ]
               [35 ]
               [36 ] For this reason, a path model was conducted to analyze the hypothesis that poorer
               adaptation to pregnancy would play an indirect predictive role in perinatal depressive
               symptom levels through its direct influence on brooding rumination (hypothesis 1,
               i.e., adaptation to pregnancy → brooding → perinatal depressive symptoms).
            Second, studies indicate that mothers with poorer adaptation to pregnancy have greater
               difficulties in establishing a bonding of quality with their babies.[23 ] In turn, this mother–baby bond established during pregnancy has been considered
               a protective factor against the difficulties and/or emotional tensions that could
               appear during pregnancy or postpartum.[1 ] Therefore, mothers establishing poorer quality bonding due to the occurrence of
               problems in adapting to pregnancy would present a greater risk of suffering from depressive
               symptoms. Based on this, we used the path model to analyze the hypothesis that a poorer
               adaptation to pregnancy would play an indirect predictive role in perinatal depressive
               symptoms through its direct influence on a worser maternal–fetal bonding (hypothesis
               2, i.e., adaptation to pregnancy → bonding → perinatal depressive symptoms).
         Materials and Methods 
            
               Design : an online survey was created which included informed consent, and assessment of
               socio-demographic and psychological variables. For dissemination, the study information
               and the link to access the survey were shared via social networks. This way, a nondiscriminatory
               exponential chain sampling procedure (i.e., snowball sampling technique) was used.
               The inclusion criteria for the study were women over 18 years of age, of Spanish nationality,
               and in the third trimester of pregnancy. The sample was recruited between November
               2021 and February 2022.
            
               Participants : a nondiscriminatory exponential chain-referral sampling procedure (i.e., snowball
               sampling technique) was performed to recruit the sample between November 2021 and
               February 2022. The dissemination of the questionnaires was performed through social
               networks. The inclusion criteria to participate in the study were women over 18 years
               of age and in the third trimester of pregnancy. An initial sample of 648 was recruited,
               of which 54 subjects were discarded for not meeting the inclusion criteria. The final
               sample consisted of 594 women in the third trimester of pregnancy, with 75% of them
               being primiparous. All the participants were of Spanish nationality. The average number
               of weeks of pregnancy at the time of participation in the study was 33.26 (standard
               deviation [SD] = 3.88). The mean age was 32.40 years old (SD = 4.19). Descriptive
               data of the sociodemographic characteristics of the participants and dichotomous psychological
               measures are shown in detail in [Table 1 ]. All participating women signed an informed consent. The institutional ethics committees
               approved the study protocol (Universidad Pontificia Comillas). No type of remuneration
               or incentive was offered to the subjects for their participation.
            
               
                  Table 1 
                     Descriptive data of demographic characteristics and dichotomous psychological measures 
                      
                  
                     
                     
                        
                        
                           Variable
                         
                        
                        
                           Total sample (N  = 594)
                         
                         
                     
                     
                        
                        
                           
                              N 
                              
                         
                        
                        
                           %
                         
                         
                      
                  
                     
                     
                        
                        
                           Number of children
                         
                         
                     
                     
                        
                        
                            0
                         
                        
                        
                           444
                         
                        
                        
                           74.6
                         
                         
                     
                     
                        
                        
                            1
                         
                        
                        
                           133
                         
                        
                        
                           22.5
                         
                         
                     
                     
                        
                        
                            2
                         
                        
                        
                           14
                         
                        
                        
                           2.4
                         
                         
                     
                     
                        
                        
                            3
                         
                        
                        
                           3
                         
                        
                        
                           0.5
                         
                         
                     
                     
                        
                        
                           Educational level (%)
                         
                         
                     
                     
                        
                        
                            Primary
                         
                        
                        
                           23
                         
                        
                        
                           3.4
                         
                         
                     
                     
                        
                        
                            Secondary
                         
                        
                        
                           113
                         
                        
                        
                           19.0
                         
                         
                     
                     
                        
                        
                            University graduate
                         
                        
                        
                           458
                         
                        
                        
                           77.4
                         
                         
                     
                     
                        
                        
                           Marital status (%)
                         
                         
                     
                     
                        
                        
                            Single
                         
                        
                        
                           19
                         
                        
                        
                           3.2
                         
                         
                     
                     
                        
                        
                            Married or living together
                         
                        
                        
                           575
                         
                        
                        
                           96.8
                         
                         
                     
                     
                        
                        
                           Type of medical care (%)
                         
                         
                     
                     
                        
                        
                            Public health care
                         
                        
                        
                           386
                         
                        
                        
                           64.8
                         
                         
                     
                     
                        
                        
                            Health insurance
                         
                        
                        
                           122
                         
                        
                        
                           20.7
                         
                         
                     
                     
                        
                        
                            Private
                         
                        
                        
                           86
                         
                        
                        
                           14.5
                         
                         
                     
                     
                        
                        
                           Previous abortions (%)
                         
                         
                     
                     
                        
                        
                            No
                         
                        
                        
                           585
                         
                        
                        
                           98.3
                         
                         
                     
                     
                        
                        
                            Yes
                         
                        
                        
                           9
                         
                        
                        
                           1.7
                         
                         
                     
                     
                        
                        
                           Pregnancy complications (%)
                         
                         
                     
                     
                        
                        
                            No
                         
                        
                        
                           455
                         
                        
                        
                           76.9
                         
                         
                     
                     
                        
                        
                            Yes
                         
                        
                        
                           139
                         
                        
                        
                           23.1
                         
                         
                      
               
             
            
            
               Instruments : first, the survey included questions about sociodemographic data: age, week of gestation,
               type of medical care received, marital status, educational level, and nationality.
               Second, the following questionnaires were used to evaluate the main variables under
               study (perinatal depression, adaptation to pregnancy, brooding, and bonding quality).
               Mean and standard deviations of the psychological measures are depicted in [Table 2 ] (see in the Results section)
            
               
                  Table 2 
                     Mean, standard deviation, and bivariate correlations of psychological variables 
                      
                  
                     
                     
                        
                        
                           Measure
                           
                              r  (p -value)
                         
                        
                        
                           M (SD)
                         
                        
                        
                           Adaptation to pregnancy
                         
                        
                        
                           Bonding
                         
                        
                        
                           Brooding
                         
                        
                        
                           Perinatal depression
                         
                         
                      
                  
                     
                     
                        
                        
                           Adaptation to pregnancy
                         
                        
                        
                           37.17 (4.58)
                         
                        
                        
                           1
                         
                        
                         
                     
                     
                        
                        
                           Bonding
                         
                        
                        
                           29.61 (4.64)
                         
                        
                        
                           0.545[a ]
                              
                         
                        
                        
                           1
                         
                        
                         
                     
                     
                        
                        
                           Brooding
                         
                        
                        
                           3.79 (3.06)
                         
                        
                        
                           −0.369[a ]
                              
                         
                        
                        
                           −0.130[a ]
                              
                         
                        
                        
                           1
                         
                        
                         
                     
                     
                        
                        
                           Perinatal depression
                         
                        
                        
                           8.54 (4.99)
                         
                        
                        
                           −0.375[a ]
                              
                         
                        
                        
                           −0.111[a ]
                              
                         
                        
                        
                           0.528[a ]
                              
                         
                        
                        
                           1
                         
                         
                      
               
               Abbreviations: M, mean; SD, standard deviation.
               a  Correlations significant at p  < 0.01.
               
                
            
            
            
               Perinatal depression : the Edinburgh Postnatal Depression Scale[42 ] has been validated for use in the perinatal stage. This is a 10-item scale and items
               are rated on a 4-point Likert scale. The cutoff score of ≥13 indicates an elevated
               risk of depression. The Cronbach's α of the Spanish adaptation of the instrument was
               0.91[43 ] and in this study it was α = 0.86.
            
               Adaptation to pregnancy and the maternal–fetal bonding : these variables were assessed using the Affective Bonding and Prenatal Adaptation
               Scale,[44 ] which has been adapted for its use with pregnant women from the second trimester
               of pregnancy onward.[45 ] It is a 21-item scale (12 items assessing adaptation to pregnancy, 9 items assessing
               bonding). Items are rated on a 5-point Likert scale. This version presents α coefficients
               of 0.74 for the adaptation subscale and 0.74 for the bonding subscale. The α coefficients
               in this study were α = 0.56 for the adaptation subscale and α = 0.73 for the bonding
               subscale.
            
               Ruminative responses : we used the Ruminative Response Scale,[46 ] which allows the evaluation of individual ruminative response styles, specifically
               brooding rumination. It is a 22-item scale, with items rated on a 4-point Likert scale.
               The Spanish adaptation shows a Cronbach's α of 0.93 on the total scale.[47 ] The α coefficients in this study were α = 0.93 for the total scale and α = 0.80
               for the brooding subscale.
            Other psychological risk factors identified in previous literature (i.e., experience
               of stressful life events, history of previous depression, general anxiety and social
               support) were also assessed and controlled for as covariates in the study. All information
               regarding these variables can be found in the [Supplementary Appendix ] (available in the online version).
         The Total Scores of Each Instrument Were Used to Compare the Variables with Each Other 
         The Total Scores of Each Instrument Were Used to Compare the Variables with Each Other 
            Statistical Analyses 
            
            Statistical analyses were performed using IBM SPSS Statistics version 22 software.
               First, descriptive analyses of sociodemographic data and psychological measures of
               the participants were executed. Second, Pearson bivariate correlation analyses were
               performed to test the association between the main variables of the model (i.e., adaptation
               to pregnancy, bonding, brooding, and perinatal depression) and the rest of the dimensional
               risk factors under study (i.e., general anxiety and social support levels). In accordance
               with Cohen's[48 ] criteria, the following magnitudes were applied in interpreting the results: between ± 0.10
               and ± 0.29 low; between ± 0.30 and ± 0.49 medium or moderate; between ± 0.50 and ± 1.0
               high correlation..
            
            Finally, we tested a path model using a structural equation that included the full
               set of variables that were significantly correlated (i.e., adaptation to pregnancy
               → brooding/bonding → perinatal depression). In this model, adaptation to pregnancy
               acted as an exogenous variable, predicting perinatal depression symptomatology levels
               directly and indirectly through the influence of brooding (i.e., mediator 1) and bonding
               quality levels (i.e., mediator 2). The estimation of standardized parameters of the
               path model was conducted using the full information maximum likelihood estimation
               method. To test model fit, we used standard criteria[49 ]: (1) χ2: nonsignificant value; (2) χ 
               2 /gL: values lower than 2; (3) CFI (comparative fit index) and TLI (Tucker–Lewis index):
               values ≥0.95; (4) RMSEA (root mean square error of approximation): values ≤0.05. The
               hypothesized mediation pathways (i.e., adaptation to pregnancy → brooding → perinatal
               depression; adaptation to pregnancy → bonding → perinatal depression) were tested
               via estimation of indirect effects within the full path model. Structural equation
               models and resulting path analyses were conducted using AMOS v18.0 (SPSS).
            Results 
            Descriptive data of the sociodemographic characteristics of the participants and dichotomous
               psychological measures are shown in [Table 1 ]. [Table 2 ] shows the mean (SD) obtained by the sample in each instrument.
            Bivariate Correlations 
            
            Bivariate correlation analyses showed significant correlations between the main variables
               under study (i.e., adaptation to pregnancy, brooding, bonding, and symptomatology
               of perinatal depression), and other of the further risk factors included in the study
               (general anxiety and social support levels). The full set of correlation results is
               shown in [Table 2 ].
            
            Structural Equation Model 
            
            We tested a structural equation model (see [Fig. 1 ]) including the main variables under study (adaptation to pregnancy, brooding, bonding,
               and symptomatology of perinatal depression), and modeling the hypothesized relations
               between them (i.e., indirect effect paths), if they were all significantly correlated
               in the previous analyses. In this model, a worse adaptation to pregnancy would predict
               the presence of perinatal depressive symptoms in the third trimester of pregnancy
               indirectly through two paths of mediation: higher levels of brooding (hypothesis 1)
               and a worse quality of maternal–fetal bonding (hypothesis 2). All the goodness-of-fit
               indicators were good, as shown in [Table 3 ].
            
            
               
                  Table 3 
                     Goodness-of-fit indices for the tested path model 
                      
                  
                     
                     
                        
                        
                           
                              ꭓ 
                              2  (gL)
                         
                        
                        
                           
                              p 
                              
                         
                        
                        
                           
                              ꭓ 
                              2 /gL
                         
                        
                        
                           CFI
                         
                        
                        
                           TLI
                         
                        
                        
                           RMSEA (90% CI)
                         
                         
                      
                  
                     
                     
                        
                        
                           Model
                         
                        
                        
                           1.214 (1)
                         
                        
                        
                           0.271
                         
                        
                        
                           1.214
                         
                        
                        
                           1.000
                         
                        
                        
                           0.997
                         
                        
                        
                           0.019 (0.000/0.113)
                         
                         
                      
               
               Abbreviations: CI, confidence interval; CFI, comparative fit index; RMSEA, root mean
                  square error of approximation; TLI, Tucker–Lewis index.
               
                
            
            
            
            
                  Fig. 1  Path model of the relation between adaptation to pregnancy, brooding, bonding and
                  perinatal depression. 
            Indirect effects were then tested using bias-corrected bootstrap estimations (2,000
               bootstrap samples with 95% CI). A significant indirect effect of lower adaptation
               to pregnancy on higher perinatal depressive symptoms via individual differences in
               brooding (p  = 0.001; standard error [SE] = − 0.172; 95% confidence interval [CI}: −0.215 to −0.137)
               was found, supporting the first hypothesis. Additionally, the indirect effect of lower
               adaptation to pregnancy on higher perinatal depressive symptoms, via lower maternal–fetal
               bonding (p  = 0.044; SE = 0.039; 95% CI: 0.007–0.072), was statistically significant, thus also
               supporting the second hypothesis. A graphical representation of the entire path model
               is provided in [Fig. 1 ].
            Discussion 
            This research aimed to study the pathways through which risk factors explain depressive
               symptoms in the third trimester of pregnancy, especially the quality with which a
               woman adapts to her pregnancy. Previous research has focused on the study of sociodemographic
               and psychological risk factors implicated in the development of perinatal depressive
               symptoms, such as low socioeconomic status, private medical insurance, and not living
               with the significant other[11 ]; presence of maternal anxiety[12 ]; previous history of depression[13 ]
               [14 ]; experience of negative stressful life events[15 ]
               [16 ]
               [17 ]; and lack of adequate social support network.[11 ]
               [17 ]
               [19 ]
               [20 ] However, these previous studies have not considered the further possible pathways
               for the development of depression, through both individual and relational mechanisms,
               that can result from the difficulties experienced in adapting to pregnancy. Special
               attention in this study was therefore paid to the difficulties that some mothers may
               have in adapting to the changes that their pregnancy entails, since this can influence
               their use of emotion regulation strategies and the quality of the bond they establish
               with their babies, both potentially mediating the development of depressive symptoms.
            Although the data collected in this study are cross-sectional, which makes it difficult
               to establish the temporal order of the influences between these factors, in keeping
               with the main objective, a path was formulated to capture the relationship between
               these variables. The results obtained in the path model show a clear indirect effect
               of adjustment to pregnancy on perinatal depressive symptomatology through the mediation
               of both parenting (hypothesis 1) and low-quality attachment (hypothesis 2).
            First, better adaptation to pregnancy was related to women's lower levels of brooding
               and depressive symptomatology, in line with previous research.[22 ] In turn, more brooding was linked to higher levels of depressive symptomatology
               in the third trimester of pregnancy, congruent with other studies.[27 ]
               [35 ]
               [36 ] Path analysis confirmed these relationships, as well as the mediating role of brooding
               in the relationship between poorer adaptation to pregnancy and higher levels of perinatal
               depressive symptoms. These results are in line with cognitive theories regarding basic
               processes leading to depression,[50 ] suggesting that a low tolerance to bodily changes and physical discomfort during
               pregnancy and a significant increase in fears and anxiety in this period (i.e., problems
               of adaptation to pregnancy) could be equivalent to experiencing pregnancy as a stressful
               life event or a set of adverse experiences. Such experiences would be associated with
               the use of a ruminative coping style, in line with the theory of response styles and
               the empirical research derived from it[27 ]
               [28 ]
               [34 ]
               [35 ]
               [36 ] that would ultimately contribute to higher levels of perinatal depressive symptoms.
               In turn, brooding could act as a feedback factor, maintaining the symptoms throughout
               the final trimester of pregnancy, as well as beyond it in the postnatal period.[29 ]
               [30 ]
               
            Second, the results also supported the conclusions of Hidalgo and Menéndez,[23 ] that a more satisfactory adaptation to pregnancy is related to a higher quality
               of bonding during pregnancy. Thus, results suggest that if the mother accepts the
               changes she experiences during pregnancy, she will develop an adequate maternal response
               toward the baby from her earliest interactions.[51 ] Higher levels of bonding were associated with lower levels of brooding and depressive
               symptomatology. Path analysis confirmed these relationships, as well as the mediating
               role of lower quality bonding in accounting for the relationship between poorer adaptation
               to pregnancy and higher levels of perinatal depressive symptoms. However, the direction
               of the relationship between bonding and perinatal depressive symptoms would be inverse
               to that considered in other research that have rather considered bonding problems
               as a consequence of perinatal depression,[10 ]
               [40 ]
               [41 ] thus suggesting an alternative model in which the quality of bonding could also
               be considered a protective factor during pregnancy against the difficulties and/or
               tensions that may arise, including increases in perinatal depression in the third
               trimester of pregnancy.[1 ]
               
         Limitations and Strengths 
         Limitations and Strengths 
            This study has some limitations. First, the measurement instruments used were self-report
               questionnaires, and doing it online made it impossible to guarantee that participants
               completed them in optimal circumstances and times. Moreover, the internal consistency
               of the adaptation to pregnancy subscale was relatively low (obtaining a Cronbach's
               α  of 0.58). Given the importance of this risk factor, this makes it important to replicate
               our findings with other instruments assessing adaptation to pregnancy that have better
               psychometric properties. It is also important to consider the global pandemic situation
               caused by COVID-19 occurring at the time of data collection for this study and how
               this may have influenced the characteristics of the sample. Indeed, the prevalence
               of depressive symptomatology in our sample, representative of the population studied,
               was twice as high in pregnant women compared with prepandemic data.[8 ]
               
            As for the strengths of the study, the sample size was high considering that this
               type of population is usually less likely to participate in studies of this nature
               given the state of gestation. In turn, the results obtained belong to a representative
               sample of the population, as can be seen in the percentage of participants with depression
               during pregnancy (21% of the sample exceeded the cut-off point for perinatal depression)
               and can therefore be generalized to the entire population of pregnant women in the
               third trimester of pregnancy. Finally, the results support an alternative direction
               to the one typically considered in the literature, in the relation between the quality
               of bonding and perinatal depressive symptoms, such as assessing the influence of individual
               process variables in the development of depressive symptomatology in pregnancy, as
               in the case of brooding.
         Implications 
            These findings are highly informative and can be taken as a starting point for the
               development of longitudinal studies, with the aim of confirming the temporal relationship
               between these variables to improve knowledge about the risk factors present in the
               final period of pregnancy and their subsequent influence on postpartum mood and adaptation
               to motherhood.
            Continuing in this direction, correct identification and early detection are framed
               as fundamental aspects for future prevention and treatment.
            Similarly, the development of new strategies to reduce the occurrence of early mood
               problems during pregnancy should be considered essential, particularly through the
               development of preventive interventions against melancholic rumination and to prevent
               difficulties in establishing maternal–fetal bonding.
            Our results show that it is also important in this type of interventions to consider
               the style of the woman's attachment bond with her own mother, since this is an essential
               component for the development of maternal identity.
         Conclusion 
            The negative feelings a woman may have in adapting to the changes produced by her
               pregnancy, leading to an unsatisfactory experience of it, can act as a risk factor
               for the onset of perinatal depressive symptoms in the third trimester of pregnancy.
               This relationship would be mediated by two factors, the presence of brooding and a
               low quality of the maternal–fetal bond. Poor adaptation to pregnancy could predict
               a maladaptive coping style in the mother, comprising a higher use of brooding rumination,
               in turn predicting depressive symptoms. Lower adaptation to pregnancy would also influence
               the adequate establishment of good-quality bonding, reducing its protective effect
               against the development of perinatal depressive symptoms. This model provides a new
               direction of interpretation of the relationship between bonding and perinatal depressive
               symptoms, as well as identifies new risk factors that can improve the adequate detection
               and prevention of perinatal depressive symptoms in the third trimester of pregnancy.