Introduction
Adolescence is a critical period for mental health, characterized by profound physical and psychological changes [1]. These changes heighten vulnerability to internalizing symptoms [2], such as depression and anxiety [3]. Recent meta-analyses indicate that a significant proportion of Chinese youth face these challenges, with about 19.85% struggling with depression [4] and 25% facing anxiety [5], particularly during challenging times like the COVID-19 pandemic. Given that internalizing symptoms could further lead to severe outcomes like social and emotional dysfunction, diminished academic performance, substance use, and suicidal ideation [6, 7], it is crucial to identify risk factors for these symptoms during adolescence.
One pivotal risk factor for internalizing symptoms is sleep disturbance [8], which emerges as a warning sign for internalizing symptoms and has a profound impact on these conditions [9]. Sleep disturbance could lead to deficits in emotion regulation, coping [10], and stress resistance [11], which have all been associated with subsequent internalizing problems [12]. While the impact of sleep disturbance on internalizing symptoms is increasingly acknowledged [13, 14], existing research predominantly explores biological mediators in these relationships, such as inflammatory markers [15], brain function [16], and grey matter structure [17]. This leaves a notable gap in understanding the mediating role that psychological and social factors play in these relationships. However, considering the relationships between sleep disturbance and adolescent internalizing symptoms are influenced by “bio-psycho-social” factors [18], it is necessary to explore the plausible psychological factors that mediate the relationship between sleep disturbance and internalizing symptoms. Doing so could unveil innovative approaches for the development of prevention and intervention strategies aimed at adolescents.
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Self-control, a fundamental cognitive ability to regulate our thoughts and behaviors, may be a psychological mediator in the nexus between sleep disturbance and internalizing symptoms. Based on the strength model of self-control [19], this cognitive capability relies on a limited energy reserve, and energy depletion could lead to reduced self-control [20]. Moreover, this reserve is linked to brain glucose levels [21], while sleep plays a vital role in replenishing energy by restoring optimal glucose levels and other vital nutrients [22]. Thus, sleep disturbance may cause significant reductions in glucose levels, which could lead to emotional exhaustion [23], thereby impairing self-control [24, 25] and increasing susceptibility to internalizing symptoms [26]. This theoretical model is also supported by cross-sectional [27, 28] and longitudinal research [29], which emphasizes the key predictive role of low self-control in the onset of internalizing problems among adolescents. Taken together, the impact of sleep disturbance on adolescents’ internalizing symptoms may be mediated by reductions in self-control.
As the second peak of physiological development, adolescence often experiences significant imbalances in physical and mental development [30]. This imbalance challenges adolescents’ ability to maintain stable levels of self-control, making them vulnerable to fluctuations and exacerbating the mediating effect of impaired self-control in the relationships between sleep disturbance and internalizing symptoms. Thus, identifying protective factors that can mitigate the negative effects of low self-control on adolescent health becomes significant. Mindfulness is likely a psychological factor capable of buffering the risks associated with low self-control [31]. In line with the mindfulness-based stress reduction (MBSR) framework, mindfulness - a nonjudgmental awareness of experiences in the present moment - can enhance self-regulation by improving emotional and attentional control [32], buffering against the risk of low self-control [33]. In fact, the key role of mindfulness in counteracting self-control depletion has been supported by empirical studies [34]. Additionally, the feasibility and accessibility of mindfulness training make it a practical option for adolescents to enhance protective psychological resources [35, 36]. For example, brief mindfulness interventions, such as four 20-minute breathing meditation sessions, have demonstrated a rapid enhancement of present-moment awareness and overall mindfulness levels [37, 38]. Taken together, mindfulness is promising to be an efficient protective factor for adolescents to compensate for low self-control, helping alleviate the link between sleep disturbance, self-control, and internalizing symptoms.
To the best of our knowledge, despite extensive research on the relationship between sleep disturbance and internalizing symptoms in adolescence [39], the psychological mechanisms underlying this link remain underexplored, particularly regarding the combined roles of self-control and mindfulness. Our integrated model seeks to fill this gap by offering a comprehensive framework that: (1) elucidates the direct impact of sleep disturbance on internalizing symptoms; (2) identifies self-control as a mediator; and (3) positions mindfulness as a crucial moderator within this dynamic (see Fig. 1). By elucidating the roles of self-control and mindfulness, this proposed framework provides a foundation for developing targeted interventions aimed at enhancing these psychological resources, thereby mitigating the adverse effects of sleep disturbance on adolescent mental health. Such insights are critical for informing evidence-based practices and contribute to the broader biopsychosocial understanding of sleep and mental health [18].
Methods
Participants
Convenience sampling was used to collect a large sample of students from 3 schools (1 primary school (grades 1–6), 1 junior high school (grades 7–9), and 1 secondary school (grades 7–12)) in one district of an eastern city in Guangdong, China. The age ranges of primary school, junior high school, and secondary school are 9–14, 11–16, and 11–19, respectively. We did not include grades 1–4 with the concern that they may not well understand the questionnaire due to their young age, and we also excluded students in grades 9 and 12 since they were preparing for the high school and college entrance exams, respectively. Finally, from April 7th to April 31st, 2023, a total of 2,229 students in grades 5–11 were invited to take part in the investigation.
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As a means of controlling the quality of the survey responses, our exclusion standards were: (1) incorrect identity information; (2) an unrealistically short response time (below 5 min); and/or (3) inconsistent survey contents. These criteria were in line with the previous studies [39‐41]. Therefore, a small number of participants met these exclusion criteria, leaving 1,876 valid responses.
Procedures
This study was carried out in accordance with the Helsinki Declaration as revised in 1989 and approved by the Ethics Committees of the University of the corresponding author (SCNU-PSY-2023-191). Before the survey, the local education bureau and the school jointly sent out invitation letters for the survey to all students and their guardians. Students and their guardians are required to scan the Quick Response (QR) code or click the link of the questionnaire through mobile phones or computers to complete the web-based survey and read the electronic informed consent at first. If both the students and their guardians agreed to participate in the study, they could continue to complete the survey. Responses to the survey were kept confidential, and all students and guardians provided electronic informed consent with the right to withdraw freely during the test period. As the online platform needed to finish all items before submission, there was no missing data for the variables studied in the current research.
Measurements
Sociodemographic information
In line with previous studies [43, 44], self-reporting techniques were used to gather common sociodemographic variables, including age, gender, ethnicity, single child status, parental married status, family incomes, father’s educational level, mother’s educational level, father’s job stability, mother’s job stability, immigrants’ generation (immigrated to the current residential city from other places), left-behind status (parents migrated to another city or region for work over 6 months), local resident, degree of impact by COVID-19 on life, lifestyles (smoking, alcohol intake, and exercise), self history of psychiatric illness, family history of psychiatric illness, and chronic physical illness.
Sleep disturbance
Four items extracted from the Youth Self-Rating Insomnia Scale (YSIS) [45] were used to assess sleep disturbance in the past month. These items focused on various aspects of sleep, including three common insomnia symptoms (difficulty initiating sleep (DIS), difficulty maintaining sleep (DMS), and early morning awakening (EMA)) and subjective sleep quality. The selection of these items aligned with the core features of sleep disturbance [46] and maintained consistency with prior research [41, 47, 48]. Responses to each item were recorded on a 5-point Likert scale. The items of DIS, DMS, and EMA ranged from 1- never, 2- <1 time/week, 3- 1-2 times/week, 4- 3-5 times/week, to 5- 6-7 times/week, while the item of subjective sleep quality ranged from 1- very good, 2- good, 3- fair, 4- poor, to 5- very poor [41, 49]. Scores from the four items were summed to generate a total score for the severity of sleep disturbance [41, 48]. In this study, the Cronbach’s alpha for these four items was 0.775.
Anxiety symptoms
The severity of anxiety symptoms experienced over the past two weeks was evaluated by the Chinese version of the GAD-7 [50], which exhibited strong psychometric properties in Chinese adolescents [51]. The ratings for each item range on a 4-point scale from 0 (not at all) to 3 (nearly every day). Item scores were added up to generate a total score, with a higher total score indicating a higher level of anxiety symptoms. In this study, its Cronbach’s alpha was 0.953.
Depression symptoms
The severity of depressive symptoms experienced over the past two weeks was assessed using the Chinese version of the 9-item Patient Health Questionnaire (PHQ-9) [52], which exhibited strong psychometric properties in Chinese adolescents [53]. The ratings for each item range on a 4-point scale from 0 (not at all) to 3 (nearly every day), and all the items were added together to get a total score. A higher total score denotes more severe depressive symptoms. In this study, its Cronbach’s alpha was 0.921.
Self-control
Self-control was evaluated by the Chinese version of the brief self-control scale (BSCS) [54], which had satisfactory-to-excellent psychometric properties among Chinese adolescents [55]. The BSCS included two domains: impulse control and self-discipline. Each item was rated on a 5-point Likert scale from 1 (strongly disagree) to 5 (strongly agree). All items were added together to get a total score, with a higher score indicating a higher level of self-control. In this study, its Cronbach’s alpha was 0.791.
Mindfulness
Mindfulness was measured by the Chinese version of the Mindful Attention Awareness Scale-Children (MAAS-C) [56], which exhibits satisfactory psychometric properties among Chinese adolescents [57]. The MAAS-C is a 15-item scale developed to assess mindfulness in terms of trait, which is adapted from the Mindful Attention Awareness Scale (MAAS) [58]. Participants responded on a 6-point Likert scale ranging from 1 (always) to 6 (never), with higher scores indicating greater levels of mindfulness. In this study, its Cronbach’s α was 0.947.
Data analyses
First, descriptive statistics were calculated for sociodemographic information, while Pearson correlations were adopted to examine the relationships among sleep disturbance, anxiety symptoms, depression symptoms, self-control, and mindfulness. Second, the PROCESS macro in SPSS was used to test for the mediation and moderating effects, with bootstrapping for parameter estimation and a sample size of 5000. Significant parameters were identified as those with 95% confidence intervals that did not include 0. To be specific, we first utilized Model 4 in PROCESS to test the mediating model, with sleep disturbance as an independent variable, self-control as a mediating variable, and depression symptoms and anxiety symptoms as dependent variables, respectively. Then, we utilized Model 14 in PROCESS to test the moderated mediation model, with sleep disturbance as a predictor, self-control as a mediator, mindfulness as a moderator, and anxiety symptoms and depression symptoms as outcomes, respectively. Sociodemographic variables were all included as covariates in the above analyses.
Results
Descriptive statistics of sample characteristics
A total of 1,876 participants were included in the analysis of the present study. Their mean (SD) age was 14.88 (1.47) years, ranging from 12 to 19. Boys made up 44.7% of this sample (n = 838), and the proportions for junior high school students and senior high school students were 60.3% (n = 1,131) and 39.7% (n = 727), respectively. Detailed sample characteristics are illustrated in Table 1.
Assessment of common method variance
As self-reporting was the only approach used to collect data in the present study, common method variance may exist. To examine it, we conducted Harman’s one-factor test [58]. The results indicated that the first principal factor explained 38.58% of the variance (< 40%), suggesting that common method variance is not a significant concern in this study.
Correlation analyses
Descriptive information and Pearson correlations for the studied variables are shown in Table 2. Sleep disturbance was significantly and positively associated with both anxiety symptoms and depression symptoms. Self-control was negatively correlated with sleep disturbance, anxiety symptoms, and depression symptoms. In addition, mindfulness was positively correlated with self-control and negatively correlated with sleep disturbance, anxiety symptoms, and depression symptoms.
Mediation analyses
As shown in Tables 3 and 4, the findings demonstrated that sleep disturbance had a significant total effect on anxiety symptoms (β = 0.481, p < 0.001) and depression symptoms (β = 0.543, p < 0.001), respectively. Sleep disturbance was negatively associated with self-control (β = -0.316, p < 0.001), and self-control negatively predicted anxiety symptoms (β = -0.288, p < 0.001) and depression symptoms (β = -0.306, p < 0.001), respectively. The bootstrap results with 5000 re-samples revealed a significant indirect effect. Specifically, self-control played a mediating role in anxiety symptoms (effect = 0.147, BootSE = 0.016) and depression symptoms (effect = 0.170, BootSE = 0.017). The mediating effect accounted for 18.9% and 17.9% of the total effect of sleep disturbance on anxiety symptoms and depression symptoms, respectively.
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Moderated mediation analyses
After controlling the influence of sociodemographic information, the interaction between mindfulness and self-control had a significant predictive effect on anxiety symptoms (β = 0.007, p < 0.001) and depression symptoms (β = 0.006, p < 0.001), respectively (see Tables 5 and 6). Based on the plots depicting that the relation between self-control and anxiety symptoms/depression symptoms separately for low and high levels of mindfulness (i.e., 1 SD below the mean and 1 SD above the mean, respectively) (see Figs. 2 and 3), our simple slope test showed, for adolescents with low levels of mindfulness, self-control have a significant negative predictive effect on anxiety symptoms (βsimple = -0.334, p < 0.001) and depression symptoms (βsimple = -0.366, p < 0.001); Yet, for those with high levels of mindfulness, self-control have a significant negative but weaker predictive effect on anxiety symptoms (βsimple = -0.105, p < 0.001) and depression symptoms (βsimple = -0.168, p < 0.001). In addition, as illustrated in Tables 5 and 6, the conditional indirect effect analysis showed that under high levels of mindfulness, the mediating effect of self-control in the relationship between sleep disturbance and internalizing symptoms was much weaker than under low levels of mindfulness.
Sensitivity analyses
In line with the prior research using a moderated mediation model [60], we conducted a sensitivity analysis to ensure that the above findings were not influenced by potential confounders such as sociodemographic variables. To achieve this, we replicated all analyses without controlling for sociodemographic variables. As shown in Supplementary Materials (Tables S1-S4), there were no meaningful changes in the significance or magnitude of the findings from mediation analyses and moderated mediation analyses, indicating the robustness of our findings.
Discussion
Through the examination of the moderated mediation model, this study elucidates the pathway through which sleep disturbance impacts internalizing symptoms by influencing self-control and identifies the conditions under which the interplay among sleep disturbance, self-control, and internalizing symptoms is most pronounced in adolescents. The principal findings are as follows: (1) a positive correlation between sleep disturbance and internalizing symptoms was discerned; (2) self-control served as a mediator in the relationship between sleep disturbance and internalizing symptoms; and (3) mindfulness played a moderating role in the connection between self-control and internalizing symptoms, indicating that adolescents with high mindfulness exhibited diminished susceptibility to internalizing symptoms resulting from self-control.
Consistent with prior investigations [61‐63], our study establishes a positive association between sleep disturbance and internalizing symptoms, supporting the notion that sleep disturbance is a precursor to internalizing symptoms [64]. In fact, over the past decades, sleep disturbance has emerged as an early and dependable indicator of vulnerability to anxiety and depression in adolescents [13, 65]. Hence, implementing interventions targeting sleep, including the modification of adverse sleep habits and addressing symptoms of insomnia, proves crucial in alleviating internalizing symptoms among adolescents.
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Complementing current research on biological mediators [15‐17], our study unveils a novel psychological mediator, elucidating how sleep disturbance might compromise self-control, consequently leading to internalizing symptoms. Drawing insights from established literature [66, 67] and the strength model of self-control [22, 68], self-control hinges on a finite energy reserve, and its exertion depletes this reserve. Effective sleep, a primary avenue for energy restoration, plays a pivotal role in sustaining self-control. Therefore, pronounced sleep disturbance in adolescents may impede the replenishment of resources from the preceding day [69], resulting in attenuated self-control [20]. Furthermore, in addition to the documented positive correlations between self-control and internalizing symptoms [70, 71], researchers have also revealed the impact of specific self-control components on internalizing symptoms [72]. For instance, deficits in impulse control often manifest as difficulties in regulating emotions and behaviors, heightening the challenge of disengaging from anxious emotions [73]. Simultaneously, individuals with low self-discipline may be more prone to succumbing to temptations, leading to a higher likelihood of developing addictions [74, 75] and, consequently, an increased risk of depressive symptoms [76]. Taken together, our findings underscore the potential of sleep disturbance to diminish self-control, thereby contributing to the severity of internalizing symptoms.
Building upon this mediating pathway, our study unveils the moderating influence of mindfulness in the connection between self-control and internalizing symptoms. Among adolescents exhibiting high levels of mindfulness, the impact of self-control on internalizing symptoms diminishes. This buffering effect indicates that enhanced mindfulness might furnish adolescents with supplementary resources, such as emotional intelligence and psychological capital, fortifying their mental well-being [77]. Consequently, it mitigates the detrimental repercussions of low self-control [78]. Hence, our findings underscore the potential of mindfulness as a compensatory strategy amid the inherent instability of self-control during adolescence. The implementation of mindfulness-based training for adolescents may be a beneficial approach to attenuate the mediating effect of self-control in the relationship between sleep disturbance and internalizing symptoms.
Several limitations of this study should be acknowledged. First, the cross-sectional nature of the research design underscores the need for caution in establishing causal relationships. Future investigations would benefit from employing longitudinal or experimental designs to more effectively elucidate the direction of causality. Second, reliance on self-reported measurement may introduce potential response bias and inaccuracies in recall. Subsequent research should bolster the robustness of findings by integrating data from diverse sources, including peers, parents, and teachers, to validate the reported outcomes. In addition, given that the levels of sleep disturbance were evaluated subjectively, future research could consider incorporating polysomnography (PSG) to objectively assess physical sleep indicators and including adolescents diagnosed with sleep disorders to examine the current findings. Third, despite the proven effectiveness of the measurements used in the study, they might not fully capture all dimensions of sleep disturbance, internalizing symptoms, self-control, and mindfulness. Future research could benefit from employing a broader array of tools and methodologies to capture these constructs’ complexity more fully, thereby providing a more nuanced understanding of the relationships between sleep disturbance, self-control, mindfulness, and internalizing symptoms among adolescents. Lastly, the current sample of adolescents was drawn from a singular district, necessitating circumspection when extrapolating the findings more broadly. Future research should consider applying the proposed model to diverse adolescent samples to assess the generalizability of the results and explore the potential influences of cultural contexts on the outcomes.
Conclusions and implications
Despite these limitations, the current findings advance our comprehension of the nexus between sleep disturbance and internalizing symptoms in adolescents, offering valuable insights for prospective intervention strategies. We identified self-control as a mediating factor and mindfulness as a moderating influence, delineating how and under what conditions sleep disturbance relates to internalizing symptoms. Importantly, the beneficial role of mindfulness in mitigating the impact of low self-control on internalizing symptoms was emphasized. Thus, our main findings have significant implications for the development and refinement of interventions aimed at mitigating internalizing symptoms among adolescents. Specifically, given the mediating role of self-control, interventions could incorporate techniques to enhance self-control, such as goal setting, self-monitoring, and developing coping strategies, which may reduce the vulnerability to internalizing symptoms stemming from sleep disturbance. Furthermore, the moderating effect of mindfulness suggests that mindfulness-based interventions emerge as a particularly effective strategy to compensate for the inherent instability of self-control in adolescents. Incorporating mindfulness practices into programs for adolescents could help cultivate a non-judgmental awareness of the present moment, improve self-regulation, and potentially buffer against the adverse effects of sleep disturbance on mental health. Altogether, the above interventions could more effectively support adolescent mental health, fostering resilience against the development of internalizing symptoms.
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Fig. 1
The hypothesized moderated mediation model
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Fig. 2
The interaction effect of self-control and mindfulness on anxiety symptoms
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Fig. 3
The interaction effect of self-control and mindfulness on depression symptoms
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Table 1
Descriptive statistics of the overall sample (n = 1876)
n | % | ||
|---|---|---|---|
Age a [year, mean(SD)] | 14.88 (1.47) | - | - |
Gender | Boys | 838 | 44.7 |
Girls | 1038 | 55.3 | |
Grade [age] | 7th [13.42 (0.72)] | 569 | 30.3 |
8th [14.35 (0.73)] | 562 | 30.0 | |
10th [15.95 (0.59)] | 387 | 20.6 | |
11th [16.86 (0.60)] | 358 | 19.1 | |
Ethnicity | Han b | 1858 | 99.0 |
Others | 18 | 1.0 | |
Parental martial status | Married | 1754 | 93.5 |
Not current married c | 122 | 6.5 | |
Immigrants’ second generation | Yes | 155 | 8.3 |
Single child status | Yes | 131 | 7.0 |
Left-behind status d | Yes | 231 | 12.3 |
Father has a stable job | Yes | 1593 | 84.9 |
Mother has a stable job | Yes | 1382 | 73.7 |
Self history of psychiatric illness | Yes | 9 | 0.5 |
Chronic physical illness e | Yes | 106 | 5.7 |
Family history of psychiatric illness | Yes | 11 | 0.6 |
Local resident | Yes | 1520 | 81.0 |
No | 356 | 19.0 | |
Family incomes | < 5000 | 446 | 23.8 |
5000–10,000 | 666 | 35.5 | |
10,000–20,000 | 174 | 9.3 | |
> 20,000 | 43 | 2.3 | |
Unknown | 547 | 29.2 | |
Father’s educational level | Illiteracy | 280 | 14.9 |
Elementary school | 986 | 52.6 | |
Junior high school | 398 | 21.2 | |
Senior high school | 136 | 7.2 | |
Junior college | 73 | 3.9 | |
College | 3 | 0.2 | |
Mother’s educational level | Illiteracy | 480 | 25.6 |
Elementary school | 908 | 48.4 | |
Junior high school | 357 | 19.0 | |
Senior high school | 88 | 4.7 | |
Junior college | 40 | 2.1 | |
College | 3 | 0.2 | |
Degree of impact by COVID-19 on life | No impact | 485 | 25.9 |
Minimal impact | 660 | 35.2 | |
Moderate impact | 554 | 29.5 | |
Significant impact | 149 | 7.9 | |
Very significant impact | 28 | 1.5 | |
Alcohol intake | Never | 1718 | 91.6 |
Sometime | 154 | 8.2 | |
Often | 4 | 0.2 | |
Everyday | 0 | 0.0 | |
Exercise | Never | 96 | 5.1 |
Sometime | 1187 | 63.3 | |
Often | 438 | 23.3 | |
Everyday | 155 | 8.3 | |
Smoking | Never | 1844 | 98.3 |
Sometime | 19 | 1.0 | |
Often | 1 | 0.1 | |
Everyday | 5 | 0.3 | |
Quit smoking | 7 | 0.4 | |
Table 2
Descriptive statistics of the studied variables
Variables | M | SD | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|---|
1.Mindfulness | 61.13 | 16.21 | 1 | ||||
2.Self-control | 23.39 | 4.99 | 0.44*** | 1 | |||
3.Depression symptoms | 5.57 | 5.33 | −0.47*** | −0.53*** | 1 | ||
4.Anxiety symptoms | 3.98 | 4.91 | −0.45*** | −0.49*** | 0.87*** | 1 | |
5.Sleep disturbance | 7.50 | 3.04 | −0.39*** | −0.39*** | 0.61*** | 0.54*** | 1 |
Table 3
Results of the mediation analysis (depression symptoms as dependent variable)
Variables | Model 1 (depression symptoms) | Model 2 (self-control) | Model 3 (depression symptoms) | |||
|---|---|---|---|---|---|---|
β | t | β | t | β | t | |
Age | 0.063*** | 3.465 | −0.103*** | -4.813 | -0.032 | 1.849 |
Gender | 0.129*** | 7.041 | −0.046* | -2.143 | 0.115*** | 6.710 |
Ethnicity | -0.027 | -1.517 | 0.001 | 0.047 | -0.027 | -1.607 |
Single child status | -0.001 | -0.023 | −0.006 | -0.257 | -0.002 | -0.123 |
Parental married status | 0.012 | 0.646 | 0.012 | 0.518 | 0.016 | 0.891 |
Family incomes | 0.017 | 0.936 | −0.004 | -0.209 | 0.015 | 0.992 |
Father’s educational level | -0.006 | -0.300 | 0.007 | 0.294 | -0.004 | -0.208 |
Father’s job stability | 0.004 | 0.233 | −0.010 | -0.449 | 0.001 | 0.076 |
Mother’s educational level | -0.019 | -0.882 | 0.003 | 1.001 | -0.011 | -0.560 |
Mother’s job stability | 0.002 | 0.099 | 0.001 | 0.012 | 0.002 | 0.111 |
Left-behind status | -0.040* | -2.097 | 0.063** | 0.790 | -0.021 | -1.170 |
Immigrants’ second generation | 0.021 | 1.147 | −0.016 | -0.734 | 0.016 | 0.946 |
Local resident | -0.000 | -0.007 | 0.022 | 1.000 | 0.007 | 0.377 |
Degree of impact by COVID-19 on life | 0.025 | 1.404 | −0.023 | -1.108 | 0.018 | 1.077 |
Family history of psychiatric illness | -0.029 | -1.657 | 0.005 | 0.263 | -0.028 | -1.674 |
Self history of psychiatric illness | -0.047** | -2.670 | 0.048* | 2.288 | -0.033* | -1.976 |
Chronic physical illness | -0.047** | -2.654 | 0.031 | 1.521 | -0.037* | -2.256 |
Exercise | -0.032 | -1.728 | 0.129*** | 5.911 | 0.007 | 0.420 |
Smoking | 0.031 | 1.665 | −0.023 | -1.082 | 0.023 | 1.367 |
Alcohol intake | 0.146*** | 7.874 | −0.132*** | -6.072 | 0.106*** | 6.039 |
Sleep disturbance | 0.543*** | 29.557 | −0.316*** | -14.659 | 0.446*** | 24.633 |
Self-control | - | - | - | - | -0.306*** | -16.568 |
R2 | 0.434 | 0.221 | 0.507 | |||
F | 67.61 | 25.09 | 86.54 | |||
Table 4
Results of the mediation analysis (anxiety symptoms as dependent variable)
Variables | Model 1 (anxiety symptoms) | Model 2 (self-control) | Model 3 (anxiety symptoms) | |||
|---|---|---|---|---|---|---|
β | t | β | t | β | t | |
Age | 0.064** | 3.298 | −0.103*** | −4.813 | 0.035 | 1.861 |
Gender | 0.128*** | 6.527 | −0.046* | −2.143 | 0.115*** | 6.157 |
Ethnicity | −0.037 | −1.953 | 0.001 | 0.047 | −0.037* | −2.042 |
Single child status | −0.007 | −0.346 | −0.006 | −0.257 | −0.008 | −0.450 |
Parental married status | 0.003 | 0.160 | 0.012 | 0.518 | 0.007 | 0.341 |
Family incomes | 0.002 | 0.114 | −0.004 | −0.209 | 0.001 | 0.051 |
Father’s educational level | 0.011 | 0.511 | 0.007 | 0.294 | 0.014 | 0.636 |
Father’s job stability | −0.015 | −0.773 | −0.010 | −0.449 | −0.018 | −0.964 |
Mother’s educational level | −0.031 | −1.385 | 0.003 | 1.001 | −0.024 | −1.126 |
Mother’s job stability | 0.003 | 0.181 | 0.001 | 0.012 | 0.004 | 0.195 |
Left-behind status | −0.045* | −2.216 | 0.063** | 2.790 | −0.027 | −1.404 |
Immigrants’ second generation | 0.024 | 1.234 | −0.016 | −0.734 | 0.019 | 1.056 |
Local resident | 0.007 | 0.343 | 0.022 | 1.000 | 0.013 | 0.694 |
Degree of impact by COVID-19 on life | 0.026 | 1.373 | −0.023 | −1.108 | 0.019 | 1.077 |
Family history of psychiatric illness | −0.040* | −2.092 | 0.005 | 0.263 | −0.038* | −2.117 |
Self history of psychiatric illness | −0.041* | −2.144 | 0.048* | 2.288 | −0.027 | −1.495 |
Chronic physical illness | −0.064*** | −3.393 | 0.031 | 1.521 | −0.055** | −3.068 |
Exercise | −0.009 | −0.445 | 0.129*** | 5.911 | 0.028 | 1.485 |
Smoking | 0.036 | 1.833 | −0.023 | −1.082 | 0.029 | 1.570 |
Alcohol intake | 0.124*** | 6.264 | −0.132*** | −6.072 | 0.086*** | 4.534 |
Sleep disturbance | 0.481*** | 24.515 | −0.316*** | −14.659 | 0.390*** | 19.833 |
Self-control | - | - | - | - | −0.288*** | −14.333 |
R2 | 0.353 | 0.221 | 0.417 | |||
F | 48.07 | 25.09 | 60.28 | |||
Table 5
Result of the moderated mediation analysis (depression symptoms as dependent variable)
Outcome variable: Self-control | β | t | SE | p |
|---|---|---|---|---|
Constant | -0.064 | -0.014 | 4.511 | 0.989 |
Sleep disturbance | -0.518 | -14.659 | 0.035 | < 0.001 |
R2 | 0.221 | |||
F | 25.09 | |||
Outcome variable: Depression symptoms | β | t | SE | p |
Constant | 2.395 | 0.642 | 3.731 | 0.521 |
Sleep disturbance | 0.649 | 21.796 | 0.032 | < 0.001 |
Self-control | -0.267 | -13.236 | 0.020 | < 0.001 |
Mindfulness | -0.061 | -10.116 | 0.006 | < 0.001 |
Self-control × Mindfulness | 0.006 | 6.482 | 0.001 | < 0.001 |
R2 | 0.539 | |||
F | 90.25 | |||
Conditional indirect effect analysis at different values of mindfulness (M ± SD) | β | BootSE | BootLLCI | BootULCI |
M−1SD | 0.190 | 0.024 | 0.144 | 0.236 |
M | 0.138 | 0.016 | 0.107 | 0.172 |
M + 1SD | 0.087 | 0.014 | 0.060 | 0.116 |
Table 6
Result of the moderated mediation analysis (anxiety symptoms as dependent variable)
Outcome variable: Self-control | β | t | SE | p |
|---|---|---|---|---|
Constant | -0.064 | -0.014 | 4.511 | 0.990 |
Sleep Disturbance | -0.518 | -14.659 | 0.035 | < 0.001 |
R2 | 0.221 | |||
F | 25.09 | |||
Outcome variable: Anxiety symptoms | β | t | SE | p |
Constant | 3.221 | 0.866 | 3.720 | 0.387 |
Sleep Disturbance | 0.541 | 17.050 | 0.032 | < 0.001 |
Self-control | -0.224 | -11.161 | 0.020 | < 0.001 |
Mindfulness | -0.061 | -10.122 | 0.006 | < 0.001 |
Self-control × Mindfulness | 0.007 | 7.880 | 0.001 | < 0.001 |
R2 | 0.460 | |||
F | 65.73 | |||
Conditional indirect effect analysis at different values of mindfulness (M ± SD) | β | BootSE | BootLLCI | BootULCI |
M−1SD | 0.178 | 0.023 | 0.134 | 0.224 |
M | 0.116 | 0.015 | 0.088 | 0.147 |
M + 1SD | 0.054 | 0.013 | 0.031 | 0.080 |
Acknowledgements
The authors want to express their sincere gratitude to all participants for participating in the study.
Declarations
Competing interests
The authors declare no competing interests.
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