Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-22T06:31:04.012Z Has data issue: false hasContentIssue false

The relationships between parental attachment, peer attachment, automatic thoughts, and mindfulness skills among Iranian adolescents

Published online by Cambridge University Press:  18 March 2024

Mohtaram Rabbani*
Affiliation:
Academic Unit of Human Communication, Learning and Development, Faculty of Education, Hong Kong University, Hong Kong, Hong Kong Department of Counseling, Faculty of Education and Psychology, Alzahra University, Tehran, Iran
Simin Hosseinian
Affiliation:
Department of Counseling, Faculty of Education and Psychology, Alzahra University, Tehran, Iran
Saeid Nosrati
Affiliation:
School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong, Hong Kong
*
Corresponding author: M. Rabbani; Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

This study aimed to examine the relationship between parental attachment, peer attachments, and automatic thoughts with adolescent mindfulness skills in Iranian adolescents, drawing on internal working models and social cognitive theory. The data was collected from a sample of Iranian adolescents in Tehran using standardized measurement instruments previously developed by researchers. The collected data was analyzed using both simple and multiple regression analyses. The results revealed a positive and significant association between parental attachment and peer attachments with adolescent mindfulness skills. Conversely, automatic thoughts were found to have a negative impact on adolescent mindfulness skills. These findings suggest that strengthening attachments can contribute to the enhancement of mindfulness skills in adolescents, while addressing automatic thoughts is crucial in preventing the erosion of mindfulness skills. Consequently, experts can design interventions that focus on improving attachments and addressing automatic thoughts to promote adolescent mindfulness skills.

Type
Regular Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press

Introduction

The period of adolescence begins when physical puberty starts and continues to affect various aspects of an individual’s life, including their physical, social, intellectual, and psychic realms (Talathi & Mhaske, Reference Talathi and Mhaske2017). Adolescents encounter numerous emotional and mental challenges on a daily basis, particularly as they navigate a complex world influenced by social media, academic expectations, family problems, and more. These ongoing pressures are further intensified by the fact that adolescents are still developing their ability to experience well-being, regulate their emotions, manage stress, and balance responsibilities (Crosnoe, Reference Crosnoe2021). One construct that has been associated with well-being and stress management, especially in adolescents, is mindfulness skills (Ivtzan et al., Reference Ivtzan, Young, Martman, Jeffrey, Lomas, Hart and Eiroa-Orosa2016; Teal et al., Reference Teal, Downey, Lomas, Ford, Bunnett and Stough2019). Mindfulness is defined as “paying attention in a particular way: on purpose, in the present moment, nonjudgmentally” (Kabat-Zinn, Reference Kabat-Zinn1994, p. 4). Accordingly, Brantley (Reference Brantley2005) stated that mindfulness skills are the ability to focus on the present moment and be aware of what is happening now; it is the feeling of acknowledgement and acceptance of whatever feelings, thoughts, and body sensations are encountered.

Although the practice of mindfulness skills dates back to the 6th century when Buddhists embraced it as a tradition that can be cultivated through various meditation techniques (Duarte & Pinto-Gouveia, Reference Duarte and Pinto-Gouveia2016), it has recently garnered significant attention from scholars and practitioners in the field of psychology (Bunjak et al., Reference Bunjak, Černe and Schölly2022; Wu et al., Reference Wu, Wei, Li, Pang and Su2022). Research has demonstrated that engaging in mindfulness enables teenagers to pause and contemplate before responding, thereby proving advantageous in their day-to-day circumstances and personal dispositions (Bluth et al., Reference Bluth, Roberson and Gaylord2015; Kostova et al., Reference Kostova, Levin, Lorberg and Ziedonis2019). Furthermore, mindfulness skills may hold particular value for adolescents grappling with mental health concerns (Crosnoe, Reference Crosnoe2021). Mindfulness skills encompass attention, self-regulation, refocusing, and a comprehensive understanding of thoughts, feelings, and sensations (Hayes et al., Reference Hayes, Follette and Linehan2004). They contribute to narrowing the gap between action and impulse. Mindfulness skills have the potential to minimize dissociation and enhance adaptive functioning in therapeutic practice (Sharma et al., Reference Sharma, Sinha and Sayeed2016).

Despite the considerable attention given to mindfulness by scholars, previous research has highlighted the influential role of both external experiences and internal thoughts on adolescents' mindfulness abilities (Johnson & Wade, Reference Johnson and Wade2019; Tan & Martin, Reference Tan and Martin2015; Tan, Reference Tan2016). For example, Tan (Reference Tan2016) found that factors such as parental influence and interactions with peers can significantly shape adolescents' mindfulness skills. Scholars have also demonstrated that individuals who have secure attachments, both with their parents and peers, tend to exhibit higher levels of mindfulness (Barcaccia et al., Reference Barcaccia, Cervin, Pozza, Medvedev, Baiocco and Pallini2020; Chen et al., Reference Chen, He, Fan and Cai2021). This could be attributed to the fact that secure attachment relationships (e.g., parental attachment and peer attachment) provide a sense of emotional safety and stability, which in turn facilitates individuals' ability to be present and grounded in the present moment (Dansby Olufowote et al., Reference Dansby Olufowote, Fife, Schleiden and Whiting2020).

Parental attachment is defined as “attachment is one specific and circumscribed aspect of the relationship between a child and caregiver that is involved with making the child safe, secure and protected” (Benoit, Reference Benoit2004. p. 541. p. 541). It encompasses feelings of trust, security, and receiving love and care from parents (Benoit, Reference Benoit2004; Delgado et al., Reference Delgado, Serna, Martínez and Cruise2022). The role of parental attachment is crucial in the emotional and social development of children, as well as their ability to establish healthy relationships in the future (Mónaco et al., Reference Mónaco, Schoeps and Montoya-Castilla2019). Conversely, peer attachment refers to the emotional connection and bond that forms between individuals of similar age or social standing, typically peers (Gorrese & Ruggieri, Reference Gorrese and Ruggieri2012; Laible et al., Reference Laible, Carlo and Raffaelli2000). It involves experiencing acceptance, a sense of belonging, and support from friends or peers. Peer attachment holds significance for adolescents as it provides opportunities for social interaction, emotional support, and the cultivation of social skills (Delgado et al., Reference Delgado, Serna, Martínez and Cruise2022).

Research has indicated that adolescents' general attitudes and behaviors are influenced by their interactions within the realms of parental and peer attachment (Delgado et al., Reference Delgado, Serna, Martínez and Cruise2022; Kerns, Reference Kerns1996). Internal working models (IWM) propose that children’s experiences and attachments to their caregivers in everyday interactions can have enduring effects on their cognitive processes, beliefs, attitudes, and behaviors (Bowlby, Reference Bowlby1982; Di Pentima et al., Reference Di Pentima, Toni and Roazzi2023; Furman et al., Reference Furman, Simon, Shaffer and Bouchey2002). Bowlby suggests that IWMs serve as mental representations of our relationships with primary caregivers, shaping future relationships and enabling individuals to anticipate, regulate, and manipulate their surroundings (Bowlby, Reference Bowlby1982). For example, research has found that a secure relationship with parental figures, combined with appropriate caregiver control, contributes to positive adjustment in young individuals, particularly in terms of their social and emotional development (Di Pentima et al., Reference Di Pentima, Toni and Roazzi2023; Soucy & Larose, Reference Soucy and Larose2000). While some studies have identified differences between parental and peer attachment mechanisms (Laible et al., Reference Laible, Carlo and Raffaelli2000), numerous studies have concluded that parental attachment and peer attachment are interconnected and similar based on the concept of IWM (Furman et al., Reference Furman, Simon, Shaffer and Bouchey2002; Thompson, Reference Thompson, Eisenberg, Damon and Lerner2006). Building on this understanding, the present empirical study aims to explore whether parental attachment and peer attachment have a significant impact on adolescents' mindfulness skills, drawing on the framework of IWM. Thus, the following question can be posited:

  1. 1. Is there a relationship between parental attachment and peer attachment with mindfulness, as explained by IWM?

Shedding light on IWM, it is important to consider its three dimensions: “a model of the self, a model of the other, and a model of the relationships between these dimensions” (Bowlby, Reference Bowlby1973, Reference Bowlby1982; Bretherton et al., Reference Bretherton, Ridgeway and Cassidy1990; Bretherton, Reference Bretherton1990). Although parental attachment and peer attachment were selected in this study as predictors of mindfulness skills, it is important to consider the impact of individuals' internal feelings and cognitive mechanisms on mindfulness skills. In other words, individuals' thoughts and emotions regarding their internal feelings can influence their attitudes, beliefs, and behaviors (Ochsner & Gross, Reference Ochsner and Gross2004; Stein & Levine, Reference Stein, Levine, Snow and Farr2021). This idea aligns with the social cognitive theory (SCT), which suggests that personal and social factors influence individuals' attitudes, beliefs, and behaviors (Bandura, Reference Bandura1999). Bandura (Reference Bandura1999) also stated that brain and cognitive development is “heavily dependent on the types of social and physical environments people select and construct.” (p. 4). Given the understanding mentioned above, it can be argued that the automatic thoughts experienced by adolescents can significantly affect their development of mindfulness skills. Automatic thoughts are spontaneous, uncontrolled, and often negative thoughts that arise in response to specific situations or events (Buschmann et al., Reference Buschmann, Horn, Blankenship, Garcia and Bohan2018; Kazdin, Reference Kazdin1990; Schniering & Rapee, Reference Schniering and Rapee2004). These thoughts occur without conscious effort or intentional thinking and can be triggered by various factors such as situations, individuals, or emotions (Flouri & Panourgia, Reference Flouri and Panourgia2014; Schniering & Rapee, Reference Schniering and Rapee2004). They can greatly impact an individual’s mood, behavior, and overall well-being (McKay et al., Reference McKay, Davis and Fanning2021). Previous research has suggested that automatic thoughts can worsen negative emotions among adolescents and children, particularly in relation to social threat, physical threat, personal failure, and hostility. However, the specific impact of automatic thoughts on mindfulness, as understood through the lens of IWM and SCT, is still limited and requires further investigation. Therefore, the present study aims to address these research gaps and questions by examining the influence of parental and peer attachments, as external factors, as well as internal feelings and emotions, specifically automatic thoughts, on the development of mindfulness skills.

  1. 1. Is there a relationship between automatic thoughts and mindfulness within the framework of IWM and SCT?

To address these research gaps and questions, the current study seeks to explore how parental attachment and peer attachment affect adolescents' mindfulness skills, with a focus on IWM. Additionally, it aims to examine the influence of automatic thoughts on adolescents' mindfulness skills, based on IWM and SCT.

Methods

Sample, data collection, and analysis procedure

The empirical study focused on adolescents residing in Tehran, Iran. At the time of data collection, the adolescent population in Tehran was approximately 1.8 million (United-Nations, 2019). Therefore, the study selected a sample of 300 adolescents from this population. The rationale for selecting this number is based on previous research indicating that a sample size of 300 is considered adequate for conducting an empirical research study when the population size is large, exceeding 5000 individuals (Gay et al., Reference Gay, Mills and Airasian2012). Furthermore, the minimum required sample size for this study was determined using G*Power software as 277, assuming a power of 0.80 (with α = 0.05 and effect size f2 = 0.15). This calculation demonstrates that our sample size exceeds the minimum requirement, indicating that it is representative of the population being studied.

For the purpose of data collection, researchers employed random sampling. The intended sample for the research consisted of adolescents aged 12–18 years old in Tehran, Iran, during the academic year 2020–2021.As a result, 15 schools located in different areas of Tehran were approached. After obtaining permission and approval from the school principals to collect data from students, one of the authors randomly distributed the questionnaire among students of various age groups. Prior to distributing the questionnaire, the purpose of the questionnaire, the study procedure, and instructions on how to complete it were explained to the students. The researcher remained present with the students while they completed the questionnaire and addressed any inquiries, they had regarding the measurement items. By distributing 310 questionnaires among students, 300 of them were completed and deemed eligible for inclusion in the data analysis procedure. The overall outline of demographic variables is shown in Table 1.

Table 1. Demographic variables (N = 300)

To test the research hypotheses and questions, the first step involved conducting linear regression. In this phase, the unstandardized coefficient beta (B), R-square, and p-value were used as criteria to determine the significance of the path analysis. In the subsequent step, multiple linear regression was employed to provide an overall assessment of the impact of the independent variables (automatic thoughts, parental attachment, and peer attachment) on the dependent variable (adolescent mindfulness). Multiple linear regression is a statistical technique that utilizes two or more independent variables to predict the outcome of a dependent variable. During this procedure, the unstandardized (B) and standardized (β) coefficient beta, standard error, t-value, and p-value were examined to assess the significance of the relationships.

Measurement instruments

To develop the measurement instruments, the initial step involved preparing the questionnaire in its original English version. Subsequently, the back-translation method was utilized to translate the questionnaire from English to Persian. All respondents were required to record their responses using a five-point Likert scale, where (“1 = strongly disagree and 5 = strongly agree”). In order to assess the face validity of the finalized Persian questionnaire, it was distributed among 5 expert teams with expertise in children and adolescent psychology. After engaging in discussions with the expert teams, certain revisions were made to enhance the readability and content of the measurement instruments. Moreover, considering that the intended sample for the empirical study consisted of adolescents between the ages of 12 and 18, the questionnaire’s simplicity, comprehensibility, and readability were pretested among 20 students. Through individual face-to-face interviews with the students, their comments and feedback regarding the survey were reviewed and taken into account. Subsequently, after making several revisions, the final version of the questionnaire was prepared.

Mindfulness skills

The measurement of this construct was conducted using the Child and Adolescent Mindfulness Measure, developed by Greco et al. (Reference Greco, Baer and Smith2011). A total of 10 items were utilized to assess this construct. An example item from the measure is “I become upset with myself when I experience emotions that do not seem logical.” The reliability of these measurement items was assessed through testing the alpha coefficient, resulting in a value of (α = 0.895).

Automatic thoughts

To assess the Children’s Automatic Thoughts Scale, a total of 40 items were adopted from a study conducted by Schniering and Rapee (Reference Schniering and Rapee2002). This construct comprises four subdimensions: physical threat (e.g., “I'm going to have an accident”), social threat (e.g., “I'm worried that I'm going to get teased”), personal failure (e.g., “I will never be as good as other people are”), and hostility (e.g., “other kids are stupid”). The alpha coefficient for this construct was calculated to be (α = 0.923), indicating high internal consistency.

Parental and peer attachment

To measure this construct, the Parental and Peer Attachment Scale inventory, consisting of 25 measurement items developed by Gullone and Robinson (Reference Gullone and Robinson2005), was utilized. An example item from the scale is “I like to get my parents' point of view on things I'm concerned about.” The alpha coefficient value for these measurement items was also found to be acceptable (α = 0.910).

Moreover, in order to control for variables and examine their impact on the research hypotheses and constructs, gender and age were chosen as control variables in the model (Bernerth & Aguinis, Reference Bernerth and Aguinis2016).

Results

Prior to conducting linear regression, it is necessary to perform certain statistical analyses to assess the psychometric properties and descriptive statistics of the dataset. This phase involves examining the means, standard deviation, testing for normality using skewness and kurtosis, and conducting a multicollinearity test using the variance inflation factor (VIF). The results of these procedures are presented in Table 2. According to the table, the test of normality indicates that the data is distributed normally, as the values fall within the threshold of ±2 (Hair et al., Reference Hair, Ringle and Sarstedt2013). Additionally, the results of the VIF test for multicollinearity demonstrate that all constructs in the study have values below the acceptable range of 2.5 (Johnston et al., Reference Johnston, Jones and Manley2018).

Table 2. Descriptive statistics, normality, and multicollinearity

SD = standard deviation; VIF = variance inflation factor.

The study examined the influence of three separate factors on mindfulness using simple linear regression in SPSS (V.23). The findings are presented in Table 3. The results indicate that parental attachment has a positive impact on mindfulness (B = 0.136; R 2 = 0.184; p-value = 0.001), peer attachment also has a positive impact on mindfulness (B = 0.190; R 2 = 0.225; p-value = 0.001), and automatic thoughts have a negative impact on mindfulness (B = −0.187; R 2 = −0.184; p-value = 0.001). Since the beta coefficients for all three independent variables were greater than 0.05 and the p-values were less than 0.05, it can be concluded that they were significant and accepted.

Table 3. Results of testing simple linear regression

During the second phase of testing the impact of independent variables on dependent variables, multiple linear regression was utilized. This type of regression involves adding two or more predictors (independent variables) to the model simultaneously in order to assess their collective impact on a criterion variable (dependent variable) (Aiken et al., Reference Aiken, West and Pitts2003; Marill, Reference Marill2004; Uyanık & Güler, Reference Uyanık and Güler2013). In this study, parental attachment, peer attachment, and automatic thoughts were included as the three independent variables in the multiple linear regression. Additionally, gender and age were included as control variables to examine their significance and influence on the outcome measures. However, the control variables did not yield any significant findings and did not result in any changes to the multiple regression model.

Table 4 displays the outcomes of the multiple linear regression analysis. The standardized effects of parental attachment on mindfulness (β = 0.178; t = 3.038; p-value = 0.003), peer attachment on mindfulness (β = 0.187; t = 3.571; p-value = 0.002), and automatic thoughts on mindfulness (β = −0.141; t = −2.395; p-value = 0.017) were found to be statistically significant and supported. Accordingly, it can be argued that high levels of parental and peer attachment have a positive impact on adolescent mindfulness. Conversely, the presence of automatic thoughts in adolescents is likely to have a negative impact on mindfulness.

Table 4. Results of testing multiple regression

B = unstandardized beta; S.E. = standard error; β = standard beta.

Discussion and implications

The objective of this study was to examine how parental attachment and peer attachment, through the IWM framework, shape adolescents' internal feelings and emotions. Additionally, it aimed to explore how automatic thoughts, as an internal factor, influence the development of mindfulness skills in adolescents, drawing on the frameworks of IWM and SCT. Through a comprehensive theoretical foundation and various statistical analyses, the results indicated that parental attachment and peer attachment had a positive influence on adolescent mindfulness skills, whereas automatic thoughts had a negative impact on such skills.

From an overall perspective based on the findings, parental attachment and peer attachment emerged as the most significant predictors of mindfulness skills among Iranian adolescents, with parental attachment and peer attachment making the highest contributions. These findings align with previous research conducted by previous scholars which highlighted the effectiveness of parental attachment in fostering mindfulness skills among adolescents (Bluth et al., Reference Bluth, Roberson and Gaylord2015; Bunjak et al., Reference Bunjak, Černe and Schölly2022; Burgdorf et al., Reference Burgdorf, Szabó and Abbott2019; Caldwell & Shaver, Reference Caldwell and Shaver2013; Gullone & Robinson, Reference Gullone and Robinson2005). Similarly, Chen et al. (Reference Chen, He, Fan and Cai2021) explored the positive impact of parental attachment on the enhancement of adolescents' mindfulness skills, leading to a reduction in psychological distress. Thus, the results of this study further support the notion that parental attachment and peer attachment play a crucial role in the development of mindfulness skills among adolescents.

With this realization, one implication of the present study is that attachment to one’s parents and peers raises one’s level of attentiveness and mindfulness abilities in adolescents. This implies that when parents offer emotional support and actively engage in their child’s life, it can have a positive influence on their child’s capacity for mindfulness (Parent et al., Reference Parent, McKee, Anton, Gonzalez, Jones and Forehand2016). Additionally, the study reveals that peer attachment also plays a role in shaping mindfulness abilities. Adolescents who maintain positive relationships with their peers tend to display heightened levels of attentiveness and are more inclined to practice mindfulness. Furthermore, the findings of this study provide strong evidence in support of IWM theory, highlighting the substantial and influential role of parental attachment and peer attachment as crucial psychological factors that greatly contribute to the development of mindfulness skills (Bowlby, Reference Bowlby1973, Reference Bowlby1982). In essence, when adolescents experience feelings of worthiness, high self-esteem, positive emotions, and have supportive caregivers, their level of mindfulness skills is likely to be enhanced and improved (Delgado et al., Reference Delgado, Serna, Martínez and Cruise2022).

The result of testing the automatic thoughts on adolescent mindfulness skills, showed that automatic thoughts in a negative way would impact mindfulness skills. This result also parallels Frewen et al. (Reference Frewen, Evans, Maraj, Dozois and Partridge2008), who explained mindfulness skills were negatively correlated with negative thought frequency and perceptions of the ability to let go of negative thoughts. Based on the results and previous studies, it can be argued that automatic thoughts as internal perception which adolescents have own about themselves can decrease their mindfulness attitude. Simply put, automatic thoughts as uncontrollable cognitive structures lead adolescents to overcome and diminish the negative thoughts that they have about others and through having this perception their level of mindfulness skills would be decrease (Ayhan & Kavak Budak, Reference Ayhan and Kavak Budak2021; Kumar et al., Reference Kumar, Malik and Gupta2023). Since mindfulness skills are interconnect with accepting and considering whatever is accepting at the moment without the sense of judgment, it can be notion that automatic thoughts as unfavorable cognitive structure can erode whatever is happening in the moment though it is positive or negative. Moreover, the results of the present study provide support to both IWM and SCT in regard of considering internal cognitive structures in shaping adolescents’ attitudes and behaviors. Through these lenses it can be argued that automatic thoughts as internal structure, and parental and peer attachment as two pillars of external environment could beneficially trigger mindfulness skills.

Shedding light on the study’s findings and the existing theoretical background, it can be suggested that in order to enhance adolescent mindfulness skills, which play a crucial role in reducing depression and promoting mental health and psychological development, it is important to consider the mechanisms of parental attachment and peer attachment. In simpler terms, previous research has shown that mindfulness skills serve as a foundation for healthier psychological and physical well-being (Ayhan & Kavak Budak, Reference Ayhan and Kavak Budak2021; Tran et al., Reference Tran, Vo-Thanh, Soliman, Ha and Van Pham2022), and these skills can be fostered through parental support, serving as positive role models, and cultivating positive and psychologically healthy peer relationships. Therefore, a significant implication of this study is that increasing adolescent mindfulness skills can be achieved by promoting parental support and positive role modeling, as well as fostering positive and psychologically healthy peer attachments. Looking at it from a different angle, it is crucial to prioritize the investigation and exploration of internal emotions, psychological factors, and cognitive constructs when it comes to shaping adolescents' mindfulness. In other words, disregarding internal cognitive structures such as automatic thoughts can have a detrimental effect on mindfulness skills. Therefore, it is important to take into consideration and account for these internal cognitive processes when assessing mindfulness.

Limitations and future research agendas

While this study makes valuable theoretical and methodological contributions, it is important to acknowledge its limitations and consider them in future research. Firstly, the data collection in this study was conducted using a cross-sectional approach. Future studies could benefit from utilizing time-lagged or longitudinal perspectives to provide a more comprehensive understanding of the variables examined. Secondly, although efforts were made to address multicollinearity and conduct simple and multiple regressions to test hypotheses, the presence of cross-loading issues with the measurement instruments prevented the use of structural equation modeling. To overcome this limitation, future studies are encouraged to explore the possibility of using shortened items and employing structural equation modeling for a more robust statistical analysis. Lastly, it is worth noting that this study was conducted in Iran, a developing country with a distinct cultural background. Therefore, future researchers are advised to consider the potential variations in the impact of independent variables among developed countries.

Competing interests

None.

References

Aiken, L. S., West, S. G., & Pitts, S. C. (2003). Multiple linear regression. In Handbook of psychology (pp. 481507). Wiley Online Library.CrossRefGoogle Scholar
Ayhan, M. O., & Kavak Budak, F. (2021). The correlation between mindfulness and negative automatic thoughts in depression patients. Perspectives in Psychiatric Care, 57(4), 19441949. https://doi.org/10.1111/ppc.12770 CrossRefGoogle ScholarPubMed
Bandura, A. (1999). Social cognitive theory: An agentic perspective. Asian Journal of Social Psychology, 2(1), 2141. https://doi.org/10.1111/1467-839X.00024 CrossRefGoogle Scholar
Barcaccia, B., Cervin, M., Pozza, A., Medvedev, O. N., Baiocco, R., & Pallini, S. (2020). Mindfulness, self-compassion and attachment: A network analysis of psychopathology symptoms in adolescents. Mindfulness, 11(11), 25312541. https://doi.org/10.1007/s12671-020-01466-8 CrossRefGoogle Scholar
Benoit, D. (2004). Infant-parent attachment: Definition, types, antecedents, measurement and outcome. Paediatrics & Child Health, 9(8), 541545. https://doi.org/10.1093/pch/9.8.541 CrossRefGoogle ScholarPubMed
Bernerth, J. B., & Aguinis, H. (2016). A critical review and best-practice recommendations for control variable usage. Personnel Psychology, 69(1), 229283. https://doi.org/10.1111/peps.12103 CrossRefGoogle Scholar
Bluth, K., Roberson, P. N., & Gaylord, S. A. (2015). A pilot study of a mindfulness intervention for adolescents and the potential role of self-compassion in reducing stress. Explore, 11(4), 292295. https://doi.org/10.1016/j.explore.2015.04.005 CrossRefGoogle ScholarPubMed
Bowlby, J. (1973). Attachment and loss: Volume II: Separation, anxiety and anger. The Hogarth Press and the Institute of Psycho-analysis, Penguin Book.Google Scholar
Bowlby, J. (1982). Attachment and loss: Volume II: Separation, anxiety and anger. American Journal of Orthopsychiatry, 52(4), 664678. https://doi.org/10.1111/j.1939-0025.1982.tb01456.x CrossRefGoogle Scholar
Brantley, J. (2005). Mindfulness-based stress reduction. In acceptance and mindfulness-based approaches to anxiety. Conceptualization and treatment (pp. 131145). Springer US. https://doi.org/10.1007/0-387-25989-9_5 CrossRefGoogle Scholar
Bretherton, I. (1990). Communication patterns, internal working models, and the intergenerational transmission of attachment relationships. Infant Mental Health Journal, 11(3), 237252. https://doi.org/10.1002/1097-0355 3.0.CO;2-X>CrossRefGoogle Scholar
Bretherton, I., Ridgeway, D., & Cassidy, J. (1990). Assessing internal working models of the attachment relationship. Attachment in the preschool years. Theory, Research, and Intervention, 273, 308. https://doi.org/10.1002/1097-0355 Google Scholar
Bunjak, A., Černe, M., & Schölly, E. L. (2022). Exploring the past, present, and future of the mindfulness field: A multitechnique bibliometric review. Frontiers in Psychology, 13, 792599. https://doi.org/10.3389/fpsyg.2022.792599 CrossRefGoogle Scholar
Burgdorf, V., Szabó, M., & Abbott, M. J. (2019). The effect of mindfulness interventions for parents on parenting stress and youth psychological outcomes: A systematic review and meta-analysis. Frontiers in Psychology, 10, 1336. https://doi.org/10.3389/fpsyg.2019.01336 CrossRefGoogle ScholarPubMed
Buschmann, T., Horn, R. A., Blankenship, V. R., Garcia, Y. E., & Bohan, K. B. (2018). The relationship between automatic thoughts and irrational beliefs predicting anxiety and depression. Journal of Rational-Emotive & Cognitive-Behavior Therapy, 36(2), 137162. https://doi.org/10.1007/s10942-017-0278-y CrossRefGoogle Scholar
Caldwell, J. G., & Shaver, P. R. (2013). Mediators of the link between adult attachment and mindfulness. Interpersona: An International Journal On Personal Relationships, 7(2), 299310. https://doi.org/10.5964/ijpr.v7i2.133 CrossRefGoogle Scholar
Chen, X., He, J., Fan, X., & Cai, Z. (2021). Attachments, dispositional mindfulness, and psychological distress: A mediation analysis. Current Psychology, 40(4), 16511659. https://doi.org/10.1007/s12144-018-0088-0 CrossRefGoogle Scholar
Crosnoe, R. (2021). Contextualizing the social and educational journeys of adolescents within the life course. Journal of Research On Adolescence, 31(4), 11351151. https://doi.org/10.1111/jora.12689 CrossRefGoogle ScholarPubMed
Dansby Olufowote, R. A., Fife, S. T., Schleiden, C., & Whiting, J. B. (2020). How can I become more secure?: A grounded theory of earning secure attachment. Journal of Marital and Family Therapy, 46(3), 489506. https://doi.org/10.1111/jmft.12409 CrossRefGoogle ScholarPubMed
Delgado, E., Serna, C., Martínez, I., & Cruise, E. (2022). Parental attachment and peer relationships in adolescence: A systematic review. International Journal of Environmental Research and Public Health, 19(3), 1064. https://doi.org/10.3390/ijerph19031064 CrossRefGoogle ScholarPubMed
Di Pentima, L., Toni, A., & Roazzi, A. (2023). Parenting styles and moral disengagement in young adults: The mediating role of attachment experiences. The Journal of Genetic Psychology, 184(5), 117. https://doi.org/10.1080/00221325.2023.2205451 CrossRefGoogle ScholarPubMed
Duarte, J., & Pinto-Gouveia, J. (2016). Effectiveness of a mindfulness-based intervention on oncology nurses’ burnout and compassion fatigue symptoms: A non-randomized study. International Journal of Nursing Studies, 64, 98107. https://doi.org/10.1016/j.ijnurstu.2016.10.002 CrossRefGoogle ScholarPubMed
Flouri, E., & Panourgia, C. (2014). Negative automatic thoughts and emotional and behavioural problems in adolescence. Child and Adolescent Mental Health, 19(1), 4651. https://doi.org/10.1111/camh.12004 CrossRefGoogle ScholarPubMed
Frewen, P. A., Evans, E. M., Maraj, N., Dozois, D. J., & Partridge, K. (2008). Letting go: Mindfulness and negative automatic thinking. Cognitive Therapy and Research, 32(6), 758774. https://doi.org/10.1007/s10608-007-9142-1 CrossRefGoogle Scholar
Furman, W., Simon, V. A., Shaffer, L., & Bouchey, H. A. (2002). Adolescents’ working models and styles for relationships with parents, friends, and romantic partners. Child Development, 73(1), 241255. https://doi.org/10.1111/1467-8624.00403 CrossRefGoogle ScholarPubMed
Gay, L. R., Mills, G. E., & Airasian, P. W. (2012). Educational research: Competencies for analysis and applications. Pearson.Google Scholar
Gorrese, A., & Ruggieri, R. (2012). Peer attachment: A meta-analytic review of gender and age differences and associations with parent attachment. Journal of Youth and Adolescence, 41(5), 650672. https://doi.org/10.1007/s10964-012-9759-6 CrossRefGoogle ScholarPubMed
Greco, L. A., Baer, R. A., & Smith, G. T. (2011). Assessing mindfulness in children and adolescents: Development and validation of the child and adolescent mindfulness measure (CAMM). Psychological Assessment, 23(3), 606614. https://doi.org/10.1037/a0022819 CrossRefGoogle ScholarPubMed
Gullone, E., & Robinson, K. (2005). The inventory of parent and peer attachment—Revised (IPPA-R) for children: A psychometric investigation. Clinical Psychology & Psychotherapy: An International Journal of Theory & Practice, 12(1), 6779. https://doi.org/10.1002/cpp.433 CrossRefGoogle Scholar
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1-2), 112. https://doi.org/10.1016/j.lrp.2013.01.001 CrossRefGoogle Scholar
Hayes, S. C., Follette, V. M., & Linehan, M. (2004). Mindfulness and acceptance: Expanding the cognitive-behavioral tradition. Guilford Press.Google Scholar
Ivtzan, I., Young, T., Martman, J., Jeffrey, A., Lomas, T., Hart, R., & Eiroa-Orosa, F. J. (2016). Integrating mindfulness into positive psychology: A randomised controlled trial of an online positive mindfulness program. Mindfulness, 7, 13961407. https://doi.org/0.1007/s12671-016-0581-1.CrossRefGoogle Scholar
Johnson, C., & Wade, T. (2019). Which aspects of mindfulness are important to include in adolescent interventions? Early Intervention in Psychiatry, 13(3), 387397. https://doi.org/10.1111/eip.12490 CrossRefGoogle ScholarPubMed
Johnston, R., Jones, K., & Manley, D. (2018). Confounding and collinearity in regression analysis: A cautionary tale and an alternative procedure, illustrated by studies of british voting behaviour. Quality & Quantity, 52(4), 19571976. https://doi.org/10.1007/s11135-017-0584-6 CrossRefGoogle Scholar
Kabat-Zinn, J. (1994). Wherever you go, there you are: Mindfulness meditation in everyday life. Hachette UK.Google Scholar
Kazdin, A. E. (1990). Evaluation of the automatic thoughts questionnaire: Negative cognitive processes and depression among children. Psychological Assessment: A Journal of Consulting and Clinical Psychology, 2(1), 7379. https://doi.org/10.1037/1040-3590.2.1.73 CrossRefGoogle Scholar
Kerns, K. A. (1996). Individual differences in friendship quality: Links to child-mother attachment (pp. 137157). Cambridge University Press.Google Scholar
Kostova, Z., Levin, L., Lorberg, B., & Ziedonis, D. (2019). Mindfulness-based interventions for adolescents with mental health conditions: A systematic review of the research literature. Journal of Child and Family Studies, 28(10), 26332649. https://doi.org/10.1007/s10826-019-01477-7 CrossRefGoogle Scholar
Kumar, S., Malik, D., & Gupta, A. (2023). Relationship between automatic thoughts and mindfulness in patients with dual diagnosis: A correlational study. International Journal of Community Medicine and Public Health, 10(2), 760765. https://doi.org/10.18203/2394-6040.ijcmph20230234 CrossRefGoogle Scholar
Laible, D. J., Carlo, G., & Raffaelli, M. (2000). The differential relations of parent and peer attachment to adolescent adjustment. Journal of Youth and Adolescence, 29(1), 4559. https://doi.org/10.1023/a:1005169004882 CrossRefGoogle Scholar
Marill, K. A. (2004). Advanced statistics: Linear regression, part II: Multiple linear regression. Academic Emergency Medicine, 11(1), 94102. https://doi.org/10.1111/j.1553-2712.2004.tb01379.x CrossRefGoogle ScholarPubMed
McKay, M., Davis, M., & Fanning, P. (2021). Thoughts and feelings: Taking control of your moods and your life. New Harbinger Publications.Google Scholar
Mónaco, E., Schoeps, K., & Montoya-Castilla, I. (2019). Attachment styles and well-being in adolescents: How does emotional development affect this relationship? International Journal of Environmental Research and Public Health, 16(14), 2554. https://doi.org/10.3390/ijerph16142554 CrossRefGoogle ScholarPubMed
Ochsner, K. N., & Gross, J. J. (2004). Thinking makes it so: A social cognitive neuroscience approach to emotion regulation. In Handbook of self-regulation: Research, theory, and applications. Standford University (pp. 229255).Google Scholar
Parent, J., McKee, L., Anton, M., Gonzalez, M., Jones, D., & Forehand, R. (2016). Mindfulness in parenting and coparenting. Mindfulness, 7(2), 504513. https://doi.org/10.1007/s12671-015-0485-5 CrossRefGoogle ScholarPubMed
Schniering, C. A., & Rapee, R. M. (2002). Development and validation of a measure of children’s automatic thoughts: The children’s automatic thoughts scale. Behaviour Research and Therapy, 40(9), 10911109. https://doi.org/10.1016/s0005-7967(02)00022-0 CrossRefGoogle ScholarPubMed
Schniering, C. A., & Rapee, R. M. (2004). The relationship between automatic thoughts and negative emotions in children and adolescents: A test of the cognitive content-specificity hypothesis. Journal of Abnormal Psychology, 113(3), 464470. https://doi.org/10.1037/0021-843x.113.3.464 CrossRefGoogle ScholarPubMed
Sharma, T., Sinha, V. K., & Sayeed, N. (2016). Role of mindfulness in dissociative disorders among adolescents. Indian Journal of Psychiatry, 58(3), 326328. https://doi.org/10.4103/0019-5545.192013 CrossRefGoogle ScholarPubMed
Soucy, N., & Larose, S. (2000). Attachment and control in family and mentoring contexts as determinants of adolescent adjustment at college. Journal of Family Psychology, 14(1), 125143. https://doi.org/10.1037//0893-3200.14.1.125 CrossRefGoogle ScholarPubMed
Stein, N. L., & Levine, L. J. (2021). Thinking about feelings: The development and organizationof emotional knowledge. In Snow, R. E., & Farr, M. (Ed.), Aptitude, learning and in struction: Cognition, conation, and affect. (vol. 3, pp. 165198). Lawrence Erlbaum Associates Inc.Google Scholar
Talathi, M., & Mhaske, R. (2017). Effect of mindfulness on emotional liability among adolescents. Indian Journal of Positive Psychology, 8(4), 654658.Google Scholar
Tan, L. B. (2016). A critical review of adolescent mindfulness-based programmes. Clinical Child Psychology and Psychiatry, 21(2), 193207. https://doi.org/10.1177/1359104515577486 CrossRefGoogle ScholarPubMed
Tan, L., & Martin, G. (2015). Taming the adolescent mind: A randomised controlled trial examining clinical efficacy of an adolescent mindfulness-based group programme. Child and Adolescent Mental Health, 20(1), 4955. https://doi.org/10.1111/camh.12057 CrossRefGoogle ScholarPubMed
Teal, C., Downey, L. A., Lomas, J. E., Ford, T. C., Bunnett, E. R., & Stough, C. (2019). The role of dispositional mindfulness and emotional intelligence in adolescent males. Mindfulness, 10(1), 159167. https://doi.org/10.1007/s12671-018-0962-8 CrossRefGoogle Scholar
Thompson, R. A. (2006). The development of the person: Social understanding, relationships, conscience, self. In Eisenberg, N., Damon, W., & Lerner, R. (Eds.), Handbook of child psychology: Social, emotional and personality development (6th ed. pp. 2498). Wiley, https://doi.org/10.1002/9780470147658.chpsy0302 Google Scholar
Tran, M. A. Q., Vo-Thanh, T., Soliman, M., Ha, A. T., & Van Pham, M. (2022). Could mindfulness diminish mental health disorders? The serial mediating role of self-compassion and psychological well-being. Current Psychology, 114, Springer. https://doi.org/10.1007/s12144-022-03421-3.Google ScholarPubMed
United-Nations(2019). World population prospects - population division. United Nations.Google Scholar
Uyanık, G. K., & Güler, N. (2013). A study on multiple linear regression analysis. Procedia-Social and Behavioral Sciences, 106, 234240. https://doi.org/10.1016/j.sbspro.2013.12.027 CrossRefGoogle Scholar
Wu, Y., Wei, Y., Li, Y., Pang, J., & Su, Y. (2022). Burnout, negative emotions, and wellbeing among social workers in China after community lockdowns during the COVID-19 pandemic: Mediating roles of trait mindfulness. Frontiers in Public Health, 10, 952269. https://doi.org/10.3389/fpubh.2022.952269 CrossRefGoogle Scholar
Figure 0

Table 1. Demographic variables (N = 300)

Figure 1

Table 2. Descriptive statistics, normality, and multicollinearity

Figure 2

Table 3. Results of testing simple linear regression

Figure 3

Table 4. Results of testing multiple regression