Open Access
ARTICLE
Monitor and Acceptance among Couples in Romantic Relationships: Actor-Partner Interdependence Models Based on the Monitor and Acceptance Theory
1 Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, 100875, China
2 School of Psychology, Nanjing Normal University, Nanjing, 210097, China
3 College of Business, Florida International University, Miami, FL 11200, USA
4 School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, EH8 9YL, UK
* Corresponding Author: Wei Xu. Email:
International Journal of Mental Health Promotion 2024, 26(7), 589-598. https://doi.org/10.32604/ijmhp.2024.053095
Received 24 April 2024; Accepted 27 June 2024; Issue published 30 July 2024
Abstract
Communication could be an essential part of couples in their daily life. Based on Monitor and Acceptance Theory (MAT), the present study explored the mediating role of communication in the relationship between mindfulness and relationship quality among college-student couples. The research examined the dynamic relationship of monitoring and acceptance to relationship satisfaction in the Actor-Partner Interdependence Model (APIM), and the mediating effect of positive or negative communications in these relationships. A total of 96 pairs of couples in the universities in Nanjing, China participated in the research. Momentary measurements were used to measure the momentary levels of their monitor, acceptance, positive/negative communication, and relationship satisfaction. A Hierarchical Linear Model (HLM) was used to deal with the APIM. Results showed that the women’s monitor facet of state mindfulness negatively predicted men’s relationship satisfaction through women’s negative communication, and the women’s acceptance facet of state mindfulness positively predicted women’s relationship satisfaction through women’s positive and negative communication at the within-person level. The study highlights the importance of cooperation in monitoring and acceptance for couples to own and hold high levels of relationship satisfaction.Keywords
A romantic relationship refers to the long-term, significant, intimate, and promised relationship between two people [1]. It is a kind of very important interpersonal relationship, which is a premise of a harmonious family relationship in the future. For youngsters in their early adulthood, the establishment of a good romantic relationship is a key task and is crucial for an individual’s future development [1–3]. In previous relevant research, relationship satisfaction is one of the most widely used variables in assessing the quality of a romantic relationship [4].
So, what factor promotes better romantic relationships? According to a theoretical model proposed by Karremans and his colleagues [5], mindfulness could help individuals to be aware of their inner experiences, which in turn could affect their partner’s responses that are specifically related with the romantic relationships, and finally affect their and their partner’s relationship satisfaction. Research has evidence showing that mindfulness can be beneficial in enhancing romantic relationships [6–8]. At the practical level, many intervention studies have shown that mindfulness-based research can significantly improve relationship satisfaction among couples [4,6].
However, some researchers argued that mindfulness is not always beneficial for romantic relationships [9]. Karremans and his colleagues [5] thought that sometimes mindfulness may increase the awareness of overall negative feelings toward the partner, and individuals with self-compassion may be more likely to stand up for themselves [10]. Moreover, individuals high in mindfulness may possess fewer positive illusions about their romantic partners, which may lead to less relationship satisfaction [5].
One possible explanation for the above different views is that, as Karremans et al. [5] and Carson et al. [9] raised, negative association between mindfulness and relationship satisfaction only exists among couples with unhealthy romantic relationships (such as those with psychological or physical abuse). Another possible reason is that most of the previous relevant studies only assess the role of trait mindfulness [7], while there may be different results when considering the role of state mindfulness in everyday life.
Moreover, the present research proposed that mindfulness, as a concept comprising various components, may play distinct roles in romantic relationships. A recent theoretical framework known as the Monitor and Acceptance Theory (MAT) has been introduced to elucidate how different facets of mindfulness can impact an individual’s emotional and cognitive outcomes [11]. According to MAT, mindfulness consists of two components: attention monitoring and acceptance. Attention monitor refers to the ongoing awareness of the present and perceptual experiences, while acceptance is defined as a mental attitude of nonjudgment, openness and receptivity, and equanimity toward experiences [11]. Based on MAT [11], attention monitoring can enhance emotional experiences. However, it may also exacerbate negative responses. Consequently, individuals with high levels of attention monitoring may amplify unpleasant details [12] in daily life, leading to negative evaluations and potentially impacting satisfaction in romantic relationships. Furthermore, acceptance can modify how one relates to experiences and regulate reactivity to affective experiences. Consequently, individuals with high acceptance may experience fewer interruptions from daily hassles [13] in romantic life, contributing to higher levels of relationship satisfaction. Despite this, previous research has rarely explored MAT in the context of romantic relationships. Thus, the present research aims to examine the relationships between attention monitoring and acceptance concerning relationship satisfaction among couples in romantic relationships. Additionally, it seeks to investigate the mediating roles of attention monitoring and acceptance in these relationships.
Whether following the classic couple communication model by Reis et al. [14] or a more recent framework, all propose that romantic relationships are constructed through daily communication [15]. Numerous studies have demonstrated that communication plays a vital role in relationship satisfaction [16–18]. Positive and negative communication exert different effects on enhancing relationship satisfaction. Positive communication involves addressing problems or sharing feelings, while negative communication is characterized by defensiveness, contempt, alienation, and criticism [19]. Positive communication is considered a predictor of greater relationship satisfaction, supported by empirical research [20]. Conversely, negative communication is hypothesized to be linked to dissatisfaction among couples [20,21], a notion substantiated by empirical findings [19]. Moreover, prior research provides evidence that mindfulness-based interventions can enhance interpersonal communication [22]. Mindfulness is also shown to be associated with positive or constructive communication in friendships [23] and even in romantic relationships [24]. Contrary to the aforementioned studies, several other studies, such as those by Johnson et al. [21] and Kanter et al. [25], have yielded results suggesting that the role of communication in romantic relationships may not be as crucial as commonly thought. These conflicting findings will be examined in the present research.
However, it is still unclear how different facets of mindfulness are associated with communication. According to MAT, individuals with higher monitor ability may notice more experiences in daily life, particularly negative experiences rather than positive ones [11]. It can be implied that when daily hassles happen, individuals under high levels of monitoring may experience more negative responses from their partners [26], which might lead them to show more negative communication instead of positive communication with their partners. On the other hand, individuals with acceptance might be less affected by daily couple conflicts [27]. When conflicts arise between couples, those with high levels of acceptance would recognize that the conflicts are temporary [5]. To maintain the long-term quality of romantic relationships, they might exhibit more positive communication rather than negative communication. Combining the theoretical assumption and research evidence above, another purpose of the current study is to explore the mediating role of couple communication in the relationship between mindfulness facets (attention monitor and acceptance) and relationship satisfaction among individuals in a romantic relationship.
It should be additionally and repeatedly noted that the definitions of mindfulness are multiple. Researchers now have a consensus that mindfulness can be considered both a trait and a state [28]. State mindfulness is a kind of maintaining mindfulness in the current moment, which always varies with the environment [29,30]. Since communication between couples occurs in real-time, and their romantic relationship satisfaction fluctuates, the association between mindfulness and relationship satisfaction should be examined from instantaneous perspectives. To explore the role of state mindfulness in the hypothesized models, ambulatory assessment [31] was adopted to measure state mindfulness, communication, and relationship satisfaction in daily life, examining their dynamic relationships at the within-person level. Moreover, as couples in a romantic relationship, their feelings and thoughts can have an interaction with their partners. To better understand the above model in a dyadic system, the Acter-Partner Interdependence Model (APIM) was adopted in our study [32]. It analyzes the interdependence of dyadic data and examines the actor-and partner-effect of variables between two-person relationships [33]. The actor effect refers to how the dependent variables’ levels may be influenced by the independent variables of an individual. Meanwhile, the partner effect signifies that the dependent variables’ levels could be influenced by the independent variables of the individual’s partner [33]. APIM is recommended in the area of the study of families and close relationships [34,35]. Therefore, APIM was used to explore the relationships between mindfulness, communication, and relationship satisfaction between young couples in romantic relationships. It is important to clarify that when we mention “within-person level”, we are referring to the responses of each individual at each time point on a momentary level, rather than the within-person effect in the APIM, which typically refers to how an individual’s predictor variable (e.g., their mindfulness) is related to their outcome (e.g., their relationship satisfaction).
To sum up, the current study aimed to test MAT in romantic relationships by exploring the relationship between attention monitor, acceptance, couple communication, and relationship satisfaction using APIM. Ambulatory assessment was adopted in the research to assess state variables. We hypothesized that both in the study, (a) attention monitor (abbreviated as monitor in the following content) is negatively associated with relationship satisfaction, (b) acceptance is positively associated with relationship satisfaction, and (c) couple communication mediates the relationship between attention monitor and acceptance to relationship satisfaction. As we adopted APIM, the above hypotheses were tested both at actor effect and partner effect levels. The hypothetical model is shown in Fig. 1. Take the first figure (the APIM of monitor) as an example. It shows the actor effect of women’s monitor (women’s monitor→women’s positive communication, women’s monitor→women’s positive communication, and women’s monitor→women’s relationship satisfaction), the actor effect of men’s monitor (men’s monitor→men’s positive communication, men’s monitor→men’s positive communication, and men’s monitor→men’s relationship satisfaction), the partner effect of women’s monitor (women’s monitor→men’s positive communication, women’s monitor→men’s positive communication, and women’s monitor→men’s relationship satisfaction), and the partner effect of men’s monitor (men’s monitor→women’s positive communication, men’s monitor→women’s positive communication, and men’s monitor→women’s relationship satisfaction). Communications also show actor and partner effects on relationship satisfaction, namely: the actor effect of women’s positive communication (women’s positive communication→women’s relationship satisfaction), women’s negative communication (women’s negative communication→women’s relationship satisfaction), men’s positive communication (men’s positive communication→men’s relationship satisfaction), and men’s negative communication (men’s negative communication→men’s relationship satisfaction); the partner effect of women’s positive communication (women’s positive communication→men’s relationship satisfaction), women’s negative communication (women’s negative communication→men’s relationship satisfaction), men’s positive communication (men’s positive communication→women’s relationship satisfaction), and men’s negative communication (men’s negative communication→women’s relationship satisfaction).
Figure 1: Hypothetical APIMs of the research.
Note: W-Mon = women’s monitor; M-Mon = men’s monitor; W-Acc = women’s acceptance; M-Acc = men’s acceptance; W-PosCom = women’s positive communication; W-NegCom = women’s negative communication; M-PosCom = men’s positive communication; M-NegCom = men’s negative communication; W-RS = women’s relationship satisfaction; M-RS = men’s relationship satisfaction.
We launched leaflets and stuck posters on the bulletin boards of the cafeterias and dormitories in several universities in Nanjing. The criteria for enrollment are as follows: (1) the subjects should be undergraduate or graduate students (over 18 years old); (2) at least one side of the couples should be in Nanjing (to make sure at least one member of the couple could take part in the orientation sessions which explained the procedure of the research); (3) the dating couples should be in intimate relationships for more than three months before the study (to make sure they have been already familiar with each other); (4) the subjects reported heterosexual; (5) the subjects reported no history of mental disease. Finally, a total of 101 eligible dating couples participated in the study. The sample size in this study was referenced from previous studies. From the perspective of the ambulatory assessment, some previous EMA research contained about 200 participants in the research (e.g., 130 participants [36]; 196 participants [37]). From the perspective of dyadic relationship, some research that used APIM also contained about 200 participants in the research (e.g., 200 participants [38]; 228 participants [39]). Kenny et al. [40] also recommended to take at least “between 80–100 couples” (p. 446) to estimate the APIM through SEM. Thus, the sample size in the present research could be appropriate. We distributed questionnaires to the 202 subjects. After removing invalid questionnaires, we retained a total of 3317 valid data observations from 96 pairs of couples in the data analysis section, which accounts for 82.27% of the number of observations that should have been obtained. Therefore, the final sample size for this study was 96 couples (192 participants). The average age of the participants was 20.8 years old (SD = 2.16), ranging from 18 to 29.
The study was approved by the Ethics committee at the Nanjing Normal University (IRB number: 2018/012). All participants signed the informed consent in this study, and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The manuscript does not contain clinical studies or patient data. The data could be requested from the corresponding author. In the present study, before the EMA procedure, participants were asked to join in an explanatory meeting. If one of the partners failed to show up personally, he or she was asked to be present by video or telephone connection. This procedure ensures that each participant is aware of what to do in the research. The researchers introduced the procedure of the study to the subjects. All the subjects signed the informed consent forms. Afterward, participants took part in the 14-day ambulatory assessment procedure.
Participants received links to the questionnaires on their smartphones three times a day (10:00 a.m., 4:00 p.m., and 10:00 p.m.) for 14 consecutive days. They were instructed to complete the questionnaires within 30 min each time they were launched. If a questionnaire was completed after the 30-min limit, the data at that time point would be disregarded. Failure to complete the questionnaires at least 30 times resulted in the participants not receiving their subjects’ fees (100 RMB per person), and the entire dataset for that participant would not be included in the analyses.
In the present research, due to the need for repeated measurements of participants over 14 consecutive days, participant fatigue might lead to inaccurate data. To minimize the risk of participant fatigue, we employed simplified measurement tools to assess mindfulness, communication, and relationship satisfaction in their daily lives. These measurement tools include some used by other scholars in EMA studies, as well as certain items with high loadings from a full questionnaire that we developed ourselves [41]. Intraclass correlation coefficient (ICC) was used to show the amount of variability in the variables attributed to each participant [42]. When ICC exceeds 0.06, the similarity of the data should not be ignored, and a Hierarchical Linear Model (HLM) should be employed to deal with the data [42].
We used four items to measure mindfulness [43]. The three items measure monitor levels (“Just now, I noticed when I became lost in my thoughts, daydreams or fantasies”; “Just now, I found myself observing unpleasant feelings without getting drawn into them”; “Just now, I noticed how my mind tended to cling to certain thoughts and feelings that I was experiencing”), and the latter one measures acceptance levels (“Just now, I was open to whatever thoughts and feelings I was experiencing”). The items were rated on a 7-point scale from 1 (not at all) to 7 (very much). They were computed as a composite score at every time point. The intra correlation coefficient (ICC) of men’s monitor, men’s acceptance, women’s monitor, and women’s acceptance were 0.421, 0.381, 0.521, and 0.442, respectively. The omega of the measurement for all the participants was 0.747.
We used one item to measure relationship satisfaction: “I am satisfied with the intimate relationship between me and him/her at this moment.” The item was rated on a 7-point scale from 1 (not at all) to 7 (very much). The participants valued their momentary levels of relationship satisfaction by answering the question. The moments participants reported higher values of the relationship satisfaction meant that they were more satisfied with their relationship at the specific moment. The ICCs of the men and the women’s relationship satisfaction were 0.109 and 0.237, respectively.
The positive communication scale was self-made according to the three parts of mindful communication [44]. Each dimension had one question on it, namely focus (In the past two hours, I listened to his/her words carefully), respond (In the past two hours, I expressed my feedback actively), and perceive information (In the past two hours, I could understand his/her meaning through the conversation). The measurement of negative communication was revised from the Marital Interaction Coding System-Global (MICS-G) [45]. The two dimensions are avoidance (In the past two hours, I refused to discuss some questions with him/her) and conflict (In the past two hours, I complained about him/her; In the past two hours, I used angry/cutting tones on him/her). A 7-point scale from 1 (not at all) to 7 (very much) was used to rate the items on the scale. We computed a composite score of each scale at every time point. The ICCs of men’s positive communication, men’s negative communication, women’s positive communication, and women’s negative communication were 0.434, 0.462, 0.416, and 0.357, respectively. The omegas for positive and negative communications were 0.946 and 0.868, respectively.
SPSS 22.0 was used to handle statistical analysis of descriptive statistics, and Mplus 7.0 was used to test the mediating models in APIMs. The HLM was used to examine the APIMs. All the indirect effects were tested in a single model. For the APIM of monitor or acceptance, a total of 16 indirect paths were tested.
A total of 96 pairs of couples participated in the research (192 participants). The age of the subjects ranged from 18 to 29 years old, and the average was 20.8 years old (SD = 2.16). Each subject replied at least 30 times and at most 42 times (3 times a day for 14 days). The results of the descriptive analysis are shown in Table 1.
We examined the mediating model between mindfulness, communication, and relationship satisfaction that happened at the same time. We first assessed gender effects by comparing a saturated model (allowing free estimation of all effect parameters) with a constrained model in which actor and partner effects were constrained to be equal for both men and women, following [40]. We compared both models using χ2 difference tests, and we accepted the more parsimonious model when p ≥ 0.20 [39]. The more parsimonious model could be accepted when p ≥ 0.05, p ≥ 0.20 is considered to be a stricter standard. It turns out the p-value of the two χ2 difference tests were all less than 0.20 (p < 0.001 for both monitor and accept APIMs), which means the actor and partner effects were not equal for both men and women. Therefore, the actor and partner effects were not constrained to be equal in the next analysis.
Secondly, we tested the full models of acceptance and monitor, respectively. The results of the APIMs of monitor and acceptance are shown in Table 2. Fig. 2 also shows the results. Meanwhile, we tested the significance of all the mediating paths in Table 3. The results are as follows: The results are as follows: as to the APIM of monitor, the actor effect manifested in men (men’s monitor→men’s negative communication→men’s relationship satisfaction: est. = −0.03, 95% CI = [−0.055, −0.011]) and women’s (women’s monitor→women’s negative communication→women’s relationship satisfaction: est. = −0.04, 95% CI = [−0.054, −0.017]) negative communication mediating the predictions of their monitor levels on relationship levels at the same moment, separately. The partner effect manifested in men’s positive communication mediating the relationship between women’s monitor and men’s relationship satisfaction (women’s monitor→men’s positive communication→men’s relationship satisfaction: est. = −0.01, 95% CI = [−0.017, −0.002]), as well as women’s positive (men’s monitor→women’s positive communication→women’s relationship satisfaction: est. = −0.02, 95% CI = [−0.031, −0.004])/negative (men’s monitor→women’s negative communication→women’s relationship satisfaction: est. = −0.02, 95% CI = [−0.031, −0.004]) communication and men’s negative communication (men’s monitor→men’s negative communication→women’s relationship satisfaction: est. = –0.01, 95% CI = [–0.019, –0.004]) mediating the relationship between men’s monitor and women’s relationship satisfaction. The RMSEA, CFI, and TLI of the model are 0.025, 0.990, and 0.904, respectively. The RMSEA, CFI, and TLI of the model are 0.025, 0.990, and 0.904, respectively. As to the APIM of acceptance, the relationship between women’s acceptance and women’s relationship satisfaction is mediated by women’s positive (women’s acceptance→women’s positive communication→women’s relationship satisfaction: est. = 0.03, 95% CI = [0.012, 0.011])/negative (women’s acceptance→women’s negative communication→women’s relationship satisfaction: est. = 0.02, 95% CI = [0.004, 0.039]) communication; the relationship between women’s acceptance and men’s relationship satisfaction is mediated by women (women’s acceptance→women’s positive communication→men’s relationship satisfaction: est. = 0.01, 95% CI = [0.001, 0.017])/men’s (women’s acceptance→men’s positive communication→men’s relationship satisfaction: est. = 0.01, 95% CI = [0.001, 0.016]) positive communication; the relationship between men’s acceptance and men’s relationship satisfaction is mediated by men positive (men’s acceptance→men’s positive communication→men’s relationship satisfaction: est. = 0.03, 95% CI = [0.019, 0.048])/negative (men’s acceptance→men’s negative communication→men’s relationship satisfaction: est. = 0.02, 95% CI = [0.001, 0.043]) communication. The RMSEA, CFI, and TLI of the model are 0.023, 0.991, and 0.920, respectively.
Figure 2: Mediating APIMs at the within-person level.
Note: W-Mon, women’s monitor; W-Acc, women’s acceptance; W-PosCom, women’s positive communication; W-NegCom, women’s negative communication; M-PosCom, men’s positive communication; M-NegCom, men’s negative communication; W-RS, women’s relationship satisfaction; M-RS, men’s relationship satisfaction. *p < 0.1, **p < 0.01, ***p < 0.001.
In the present research, we used ambulatory assessment to collect the dynamic data, and examined the mediation APIMs between the monitor and acceptance facets of mindfulness and relationship satisfaction. It is discovered that the negative communication levels of both men and women mediated the connection between their monitor levels and their relationship satisfaction. This finding suggests that individuals with higher monitor levels in a given moment tended to have more negative communication with their partners, leading to increased relationship dissatisfaction. Additionally, we observed that positive communication played a mediating role in partner effects. Specifically, men’s positive communication mediated the relationship between women’s monitor and men’s relationship satisfaction, while women’s positive communication mediated the relationship between men’s monitor and women’s relationship satisfaction. These results showed that positive communications were like bonds between partners, mediating the association between individuals’ monitor levels and their partners’ relationship satisfaction.
As to the relationship between acceptance and relationship satisfaction, men’s and women’s positive and negative communication separately mediated the relationship between men’s acceptance and men’s relationship satisfaction, and the relationship between women’s acceptance and men’s relationship satisfaction. Despite the actor effect of the mediation model, women’s and men’s positive communication also mediated the relationship between women’s acceptance and men’s relationship satisfaction, showing the partner effect of women’s acceptance. These results indicated that monitoring or acceptance, which are the two components of mindfulness according to the MAT, play different roles in romantic relationships [11]. The monitor might enable individuals to perceive more negative communication instead of more positive communication with their partner, and thus make them or their partners less satisfied with the relationship [5]. On the other hand, the acceptance facet of mindfulness could predict higher levels of positive communication and lower levels of negative communication, and in turn, predict more satisfaction in the relationship [46]. The results highlight the importance of the acceptance facet of mindfulness in romantic relationships, especially from the momentary perspective.
The results offered guidance for the mindfulness interventions, especially for couples. Higher monitor levels momentarily raise the cognition of negative feelings or thoughts in a relationship, while higher acceptance levels can positively predict instant relationship satisfaction [11]. Accordingly, mindfulness intervention especially for couples should develop individuals’ ability of being acceptable to the momentary experiences, and encourage the couples to accept, positively communicate, and finally solve problems. In this way, the couples could be happy with their relationship for every moment of the relationship.
The study also has some non-negligible limitations. Firstly, the participants in this study are undergraduate and graduate students from universities in China. Therefore, it remains doubtful whether the results of this study can be generalized to other types of intimate relationships, such as married couples or couples with psychological disorders. Secondly, although the use of ambulatory assessment assured the ecological validity of the study [47], the 42 times fulfillment of the questionnaire might evoke the weariness of the subjects and lead to the inaccuracy of the data. To minimize the aforementioned issues, we simplified the measurement tools used in the research. Although we calculated and obtained satisfactory omega coefficients for these questionnaires, the validity of these momentary surveys, as well as their consistency with the complete questionnaire in measuring certain variable levels, still requires future research validation. Moreover, self-report questionnaires may reduce the authenticity of data. Third, we did not perform mindfulness interventions in the study to investigate the short-term and long-term effects of mindfulness training on accelerating the relationship satisfaction of both men and women. Future studies could explore the effect and potential mechanisms of mindfulness intervention on romantic relationships. Fourth, to avoid overcomplicating the models, we did not examine the interaction mutual predictions of communications between partners. This may hinder our understanding of how communication patterns between partners predict each other. On the other hand, while such results were not found in the present studies, some research suggested that the role of communication in relationship quality might not be as significant as traditionally believed [21,25]. Combining these research findings, future studies need to further consider and confirm how communication functions in romantic relationships. Fifth, the relationships between monitor or acceptance and communication and relationship satisfaction on the successive day were not examined. Nor has the theoretical models been tested from an intertemporal perspective. Future research could use the longitudinal APIM [48] to explore the relationships between variables at different moments. Sixth, this study did not explore how monitor and acceptance jointly predict relationship satisfaction, an aspect that warrants further investigation in future research. Finally, future research should take into account the potential influence of covariates on the outcomes. These include factors such as the duration of the romantic relationship, the geographical distance between couples, and immediate life events experienced by both genders.
Acknowledgement: None.
Funding Statement: The submission was supported by the National Natura Science Foundation of China (Grant Number: 31800929); and Fundamental Research Funds for Central Universities (Grant Number: 2020NTSS42).
Author Contributions: All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Xue Wen and Wei Xu. The first draft of the manuscript was written by Xue Wen and Wei Xu and all authors commented on previous versions of the manuscript. Conceptualization: Xue Wen; Methodology: Xue Wen; Formal analysis and investigation: Xue Wen, Jiaxuan Du and Xiaoyan Liu; Writing-original draft preparation: Xue Wen and Wei Xu; Writing-review and editing: Yuyang Zhou and Wei Xu; Funding acquisition: Wei Xu and Jiaxuan Du; Supervision: Xiaoyan Liu. All authors reviewed the results and approved the final version of the manuscript.
Availability of Data and Materials: The data that support the findings of this study are available from the corresponding author upon reasonable request.
Ethics Approval: The study was approved by the Ethics committee at the Nanjing Normal University (IRB number: 2018/012). All participants signed the informed consent in this study.
Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study.
References
1. Peterson CC. Looking forward through the lifespan: developmental psychology. Australia: Pearson Higher Education; 2013. [Google Scholar]
2. Collibee C, Furman W. Quality counts: developmental shifts in associations between romantic relationship qualities and psychosocial adjustment. Child Dev. 2015;86:1639–52. doi:10.1111/cdev.12403. [Google Scholar] [PubMed] [CrossRef]
3. Holmberg D, MacKenzie S. So far, so good: scripts for romantic relationship development as predictors of relational well-being. J Soc Pers Relatsh. 2002;19:777–96. doi:10.1177/0265407502196003. [Google Scholar] [CrossRef]
4. Kappen G, Karremans JC, Burk WJ. Effects of a short online mindfulness intervention on relationship satisfaction and partner acceptance: the moderating role of trait mindfulness. Mindfulness. 2019;10:2186–99. doi:10.1007/s12671-019-01174-y. [Google Scholar] [CrossRef]
5. Karremans JC, Schellekens MPJ, Kappen G. Bridging the sciences of mindfulness and romantic relationships: a theoretical model and research agenda. Personal Soc Psychol Rev. 2017;21:29–49. doi:10.1177/1088868315615450. [Google Scholar] [PubMed] [CrossRef]
6. Kappen G, Karremans JC, Burk WJ, Buyukcan-Tetik A. On the association between mindfulness and romantic relationship satisfaction: the role of partner acceptance. Mindfulness. 2018;9:1543–56. doi:10.1007/s12671-018-0902-7. [Google Scholar] [PubMed] [CrossRef]
7. Khaddouma A, Gordon KC. Mindfulness and young adult dating relationship stability: a longitudinal path analysis. Mindfulness. 2018;9:1529–42. doi:10.1007/s12671-018-0901-8. [Google Scholar] [CrossRef]
8. Quinn-Nilas C. Self-reported trait mindfulness and couples’ relationship satisfaction: a meta-analysis. Mindfulness. 2020;11:835–48. doi:10.1007/s12671-020-01303-y. [Google Scholar] [CrossRef]
9. Carson JW, Carson KM, Gil KM, Baucom DH. Mindfulness-based relationship enhancement. Behav Ther. 2004;35:471–94. doi:10.1016/S0005-7894(04)80028-5. [Google Scholar] [CrossRef]
10. Yarnell LM, Neff KD. Self-compassion, interpersonal conflict resolutions, and well-being. Self Identity. 2013;12:146–59. doi:10.1080/15298868.2011.649545. [Google Scholar] [CrossRef]
11. Lindsay EK, Creswell JD. Mechanisms of mindfulness training: monitor and acceptance theory (MAT). Clin Psychol Rev. 2017;51:48–59. doi:10.1016/j.cpr.2016.10.011. [Google Scholar] [PubMed] [CrossRef]
12. Farb NAS, Anderson AK, Mayberg H, Bean J, McKeon D, Segal ZV. Minding one’s emotions: mindfulness training alters the neural expression of sadness. Emotion. 2010;10:25–33. doi:10.1037/a0017151. [Google Scholar] [PubMed] [CrossRef]
13. Catalino LI, Arenander J, Epel E, Puterman E. Trait acceptance predicts fewer daily negative emotions through less stressor-related rumination. Emotion. 2017;17:1181–6. doi:10.1037/emo0000279. [Google Scholar] [PubMed] [CrossRef]
14. Reis HT, Patrick BC. Attachment and intimacy: component processes. In: Soc psychol handb basic princ. New York, NY, USA: The Guilford Press; 1996. p. 523–63. [Google Scholar]
15. Xu W, Wang J, Schoebi D. The role of daily couple communication in the relationship between illness representation and fear of cancer recurrence in breast cancer survivors and their spouses. Psychooncology. 2019;28:1301–7. doi:10.1002/pon.5082. [Google Scholar] [PubMed] [CrossRef]
16. Anderson TL, Emmers-Sommer TM. Predictors of relationship satisfaction in online romantic relationships. Commun Stud. 2006;57:153–72. doi:10.1080/10510970600666834. [Google Scholar] [CrossRef]
17. Hiew DN, Halford WK, van de Vijver FJR, Liu S. Communication and relationship satisfaction in Chinese, Western, and intercultural Chinese-Western couples. J Fam Psychol. 2016;30:193–202. doi:10.1037/fam0000144. [Google Scholar] [PubMed] [CrossRef]
18. Langer SL, Romano JM, Todd M, Strauman TJ, Keefe FJ, Syrjala KL, et al. Links between communication and relationship satisfaction among patients with cancer and their spouses: results of a fourteen-day smartphone-based ecological momentary assessment study. Front Psychol. 2018;9:102. doi:10.3389/fpsyg.2018.01843. [Google Scholar] [PubMed] [CrossRef]
19. Jolin S, Lafontaine M-F, Brassard A, Lussier Y. Which comes first? Associations between communication patterns and relationship satisfaction in couples over a 1-year period. Can J Behav Sci Rev Can Sci Comport. 2024;56:70–80. doi:10.1037/cbs0000342. [Google Scholar] [CrossRef]
20. Bélanger C, Sabourin S, El-Baalbaki G. Behavioral correlates of coping strategies in close relationships. Eur J Psychol. 2012;8:449–60. doi:10.5964/ejop.v8i3.499. [Google Scholar] [CrossRef]
21. Johnson MD, Lavner JA, Mund M, Zemp M, Stanley SM, Neyer FJ, et al. Within-couple associations between communication and relationship satisfaction over time. Pers Soc Psychol Bull. 2022;48:534–49. doi:10.1177/01461672211016920. [Google Scholar] [PubMed] [CrossRef]
22. Amutio-Kareaga A, García-Campayo J, Delgado LC, Hermosilla D, Martínez-Taboada C. Improving communication between physicians and their patients through mindfulness and compassion-based strategies: a narrative review. J Clin Med. 2017;6:33. doi:10.3390/jcm6030033. [Google Scholar] [PubMed] [CrossRef]
23. Pratscher SD, Rose AJ, Markovitz L, Bettencourt A. Interpersonal mindfulness: investigating mindfulness in interpersonal interactions, co-rumination, and friendship quality. Mindfulness. 2018;9:1206–15. doi:10.1007/s12671-017-0859-y. [Google Scholar] [CrossRef]
24. Barnes S, Brown KW, Krusemark E, Campbell WK, Rogge RD. The role of mindfulness in romantic relationship satisfaction and responses to relationship stress. J Marital Fam Ther. 2007;33:482–500. doi:10.1111/j.1752-0606.2007.00033.x. [Google Scholar] [PubMed] [CrossRef]
25. Kanter JB, Lavner JA, Lannin DG, Hilgard J, Monk JK. Does couple communication predict later relationship quality and dissolution? A meta-analysis. J Marriage Fam. 2022;84:533–51. doi:10.1111/jomf.12804. [Google Scholar] [CrossRef]
26. Pearson MR, Lawless AK, Brown DB, Bravo AJ. Mindfulness and emotional outcomes: identifying subgroups of college students using latent profile analysis. Personal Individ Differ. 2015;76:33–8. doi:10.1016/j.paid.2014.11.009. [Google Scholar] [PubMed] [CrossRef]
27. Weusthoff S, Baucom BR, Hahlweg K. Fundamental frequency during couple conflict: an analysis of physiological, behavioral, and sex-linked information encoded in vocal expression. J Fam Psychol. 2013;27:212–20. doi:10.1037/a0031887. [Google Scholar] [PubMed] [CrossRef]
28. Brown KW, Ryan RM. The benefits of being present: mindfulness and its role in psychological well-being. J Pers Soc Psychol. 2003;84:822–48. doi:10.1037/0022-3514.84.4.822. [Google Scholar] [PubMed] [CrossRef]
29. Ding X, Du J, Zhou Y, An Y, Xu W, Zhang N. State mindfulness, rumination, and emotions in daily life: an ambulatory assessment study. Asian J Soc Psychol. 2019;22:369–77. doi:10.1111/ajsp.12383. [Google Scholar] [CrossRef]
30. Du J, An Y, Ding X, Zhang Q, Xu W. State mindfulness and positive emotions in daily life: an upward spiral process. Personal Individ Differ. 2019;141:57–61. doi:10.1016/j.paid.2018.11.037. [Google Scholar] [CrossRef]
31. Wilhelm P, Schoebi D. Assessing mood in daily life. Eur J Psychol Assess. 2007;23:258–67. doi:10.1027/1015-5759.23.4.258. [Google Scholar] [CrossRef]
32. Kenny DA, Cook W. Partner effects in relationship research: conceptual issues, analytic difficulties, and illustrations. Pers Relatsh. 1999;6:433–48. doi:10.1111/j.1475-6811.1999.tb00202.x. [Google Scholar] [CrossRef]
33. Cook WL, Kenny DA. The actor-partner interdependence model: a model of bidirectional effects in developmental studies. Int J Behav Dev. 2005;29:101–9. doi:10.1080/01650250444000405. [Google Scholar] [CrossRef]
34. Ünal Ö., Akgün S. Conflict resolution styles as predictors of marital adjustment and marital satisfaction: an actor-partnerndence model. J Fam Stud. 2022;28:898–913. doi:10.1080/13229400.2020.1766542. [Google Scholar] [CrossRef]
35. Tadros E, Durante KA, Morgan AA, Hutcherson R. An actor-partner interdependence model analysis of family support and depression among coparenting couples with an incarcerated partner. J Offender Rehabil. 2022;61(7):390–410. doi:10.1080/10509674.2022.2116521. [Google Scholar] [CrossRef]
36. Blumenstock SM, Papp LM. Romantic (versus other) events and momentary affect: immediate and lagged within-person associations among college students. J Fam Psychol. 2022;36:57–68. doi:10.1037/fam0000885. [Google Scholar] [PubMed] [CrossRef]
37. Rogers AA, Ha T, Updegraff KA, Iida M. Adolescents’ daily romantic experiences and negative mood: a dyadic, intensive longitudinal study. J Youth Adolesc. 2018;47:1517–30. doi:10.1007/s10964-017-0797-y. [Google Scholar] [PubMed] [CrossRef]
38. Papp LM, Witt NL. Romantic partners’ individual coping strategies and dyadic coping: implications for relationship functioning. J Fam Psychol. 2010;24:551–9. doi:10.1037/a0020836. [Google Scholar] [PubMed] [CrossRef]
39. Brauer K, Sendatzki R, Proyer RT. Testing the associations between dispositions toward ridicule and being laughed at and romantic jealousy in couples: an APIM analysis. J Pers. 2021;89:883–98. doi:10.1111/jopy.12621. [Google Scholar] [PubMed] [CrossRef]
40. Kenny DA, Ledermann T. Detecting, measuring, and testing dyadic patterns in the actor-partner interdependence model. J Fam Psychol’. 2010;24:359–66. doi:10.1037/a0019651. [Google Scholar] [PubMed] [CrossRef]
41. Csikszentmihalyi M. Handbook of research methods for studying daily life. New York: Guilford Press; 2011. [Google Scholar]
42. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. New York: Routledge; 1988. doi:10.4324/9780203771587. [Google Scholar] [CrossRef]
43. Shiyko MP, Siembor B, Greene PB, Smyth J, Burkhalter JE. Intra-individual study of mindfulness: ecological momentary perspective in post-surgical lung cancer patients. J Behav Med. 2019;42:102–10. doi:10.1007/s10865-018-9942-7. [Google Scholar] [PubMed] [CrossRef]
44. Burgoon JK, Berger CR, Waldron VR. Mindfulness and interpersonal communication. J Soc Issues. 2000;56:105–27. doi:10.1111/0022-4537.00154. [Google Scholar] [CrossRef]
45. Weiss RL, Tolman AO. The marital interaction coding system—global (MICS—Ga global companion to the mics. Behav Assess. 1990;12:271–94. [Google Scholar]
46. Pepping CA, Halford WK. Mindfulness and couple relationships. In: Shonin E, Gordon WV, Griffiths MD, editors. Mindfulness buddh-deriv approaches ment health addict. Cham: Springer International Publishing; 2016. p. 391–411. doi:10.1007/978-3-319-22255-4_19. [Google Scholar] [CrossRef]
47. Shiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol. 2008;4:1–32. doi:10.1146/annurev.clinpsy.3.022806.091415. [Google Scholar] [PubMed] [CrossRef]
48. Gistelinck F, Loeys T. The actor-partner interdependence model for longitudinal dyadic data: an implementation in the sem framework. Struct Equ Model Multidiscip J. 2019;26:329–47. doi:10.1080/10705511.2018.1527223. [Google Scholar] [CrossRef]
Cite This Article
![cc](https://www.techscience.com/static/images/cc.jpg?t=20230215)
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.