DOI: https://doi.org/10.21203/rs.3.rs-22880/v2
The World Health Organization indicated that mental health conditions among young adults is one of the global areas of concern, with depression being the third leading condition and suicide being the second leading cause of death among individuals aged between 15 and 29 [1]. Depression, anxiety, and stress are the common issues that affect the well-being of students [2], with depression and anxiety being particularly prevalent among college students [3, 4]. In Malaysia, the number of university students with mental health conditions has risen remarkably over the past few years; specifically, the number of people living with depression has doubled and suicidal symptoms among students has tripled over the same period [5].
The onset of most mental health disorders is during young adulthood [6]. Various studies have reported that 40 million of adults in the United States have anxiety disorder, of which 75% of them experienced their first episode by age 22, a typical college age [7], and over half of college students in the country had at least one mental health problem [8]. Similarly, more than 20% of university students in Hong Kong live with either depression, anxiety, or stress [9]. In Malaysia, 29.2% of Malaysian adults have reported some form of mental health conditions compared to 10.7% in 1996, suggesting that prevalence rate has doubled over that period [5] . The Malaysian Mental Healthcare Performance: Technical report 2016 indicated further that younger adults who experienced emotional issues has increased to 29.2% in 2015 with depression (17.7%), anxiety (39.5%), and stress (10.1%) being the top three mental health conditions reported by 25,507 students nationwide [10, 11]. Furthermore, these students are also at high risk of developing suicidal behaviour [12], and exhibit poor academic performance [4].
As such, with almost 1.3 million Malaysian youths in college or university [13], studies on mental health conditions and the well-being of students are significant and crucial to promote positive mental health among college and university students [14].
Depression, anxiety, stress, and SWL
Students are typically young adults who are susceptible to positive and negative affective conditions that determine their state of happiness or well-being. Their wellness motivated the current study to focus on the effects of negative affective conditions, specifically depression, anxiety, and stress, on satisfaction with life (SWL). To ensure mental health wellness in students, universities typically monitor the students’ mental health continually and systematically by conducting surveys from time to time. Universities are able to assess the mental well-being of their students and also use the survey results to assist them in improving the viability of their existing counselling programmes [15].
One past study indicated that severe levels of depression, anxiety, and stress are strongly associated with low life satisfaction among university students [16]. These negative affective conditions—depression, anxiety, and stress—are not healthy emotional symptoms and may affect the subjective well-being of individuals. Well-being comprises affective and cognitive components [17]. This study focused on the latter as young adults who are Generation Z – those aged between 5 to 25 - grow up online and a tech-savvy. They seem well connected virtually, enjoy digital lives and longing for connection, sense of belongingness and interpersonal needs [18].
Most of the research found that university students’ satisfaction with life and have negative correlation with depression. Their findings suggest that to improve the satisfaction with life is to focus on the effective intervention and manage depression issue among the university students [19, 20].
In addition, greater anxiety is associated with greater depressive symptoms [21] where individual reported greater self-criticism, hypervigilance of cues of disapproval from people in their surroundings, and feelings of unworthiness of love. Tsitsas, Nanopoulos and Paschali (2019) also indicated that university students score higher in life satisfaction when their anxiety scores are low [22]. Their result suggested a negative association between the life satisfaction and anxiety. On another note, Boyraz et al. [23] found significant association between authenticity, life satisfaction, and decreased distress.
In some research, university students who experience higher depression, anxiety and stress in life have lower level of life satisfaction [16], [24]. These negative association are in line with a systematic literature review that stated quality of life among university students have negative correlation with stress. The factors highlighted were burnout, sleep disturbances and depression escalate the negative association with quality of life [25].
Thus, based on the reviews aforementioned, we hypothesised that:
H1: Depression is negatively associated with SWL.
H2: Anxiety is negatively associated with SWL.
H3: Stress is negatively associated with SWL.
The role of interpersonal needs and SWL.
According to Maslow’s hierarchy of needs theory [26], individuals strive to fulfil their basic needs, such as physiological needs and safety needs, before striving to achieve their belongingness needs, esteem needs, and self-actualisation needs. University students fulfil their belongingness needs through their interpersonal relationships. They are in the developmental stages of “identity versus role confusion” and “intimacy versus isolation” as suggested by Erikson [27]. They are developing their self-identity and achieving a feeling of belongingness, which comes from interacting with and being acknowledged by the individuals around them, contribute to this development. Failing to form close social interactions, on the other hand, would instead trigger the feeling of thwarted belongingness. Students need interpersonal attachments with their social circle to create a sense of belonging that contributes to their development.
Thwarted belongingness is categorised as social or belongingness needs, the third level of the five levels of needs in Maslow’s hierarchy [28]. To do well academically, which is related to esteem needs, students need to fulfil their social needs beforehand [29]. The present of such a void induces students to form self-criticism and feelings of unworthiness which contributed to the development of anxiety and depressive symptoms [23]. Øverup (2017) study also presented the importance of interpersonal needs, specifically perceived belongingness and perceived burdensomeness in mediating the relationship between anxiety and depressive symptoms. Thus, this present study posited that students are hindered from achieving a higher level of the self if their belongingness needs are not fulfilled- making the thwarted belongingness a moderator in this study. This further increases their chances of experiencing depression, anxiety, and stress, which have a reverse effect on their academic performance [15].
Perceived belongingness occurs in relationships with others and it is inclusive of perceived burdensomeness and thwarted belongingness. These factors are found to have important associations with suicidal ideation among college students [30]. Stressful life events experienced during young adults could be overwhelming and students who are able to adjust their assumptions about the world and their self-identity face less suicidal risk. Students have decreased suicidal risk is even when they perceive burdensomeness and lack of belongingness. Thus, it is possible to make meaning of stressful life events, eventually free from depression and anxiety. The meaningful transformation would eventually and indirectly increase the students’ SWL. Although Van Orden et al. [31] proposed that unmet interpersonal needs contribute to suicidal ideation, our study focuses on SWL instead of suicidal ideation because the sample of university students in this study exhibit neither high clinical severity nor high suicidal risk. The study posits that satisfaction with perceived belongingness would lead to SWL- making perceived belongingness the moderator.
In the current study, interpersonal needs refer to individuals’ desires and comprises perceived burdensomeness and thwarted belongingness. There is scarce research in this area that examines these factors among university students as most studies are on psychiatric patients [32, 33]. According to Van Orden et al. [31], both perceived burdensomeness and thwarted belongingness are pivotal constructs and considered to be the most proximal interpersonal needs that lead to suicidal ideation. Other constructs, such as mental health conditions and stressful life events, are comparatively more distant in the risk chain of suicidal ideation. Perceived burdensomeness and thwarted belongingness, fortunately, are postulated as dynamic and obedient to therapeutic change. In view of that, both constructs are viable moderating variables to explain how the relationship among depression, stress, anxiety, and SWL changes among individuals with low or high interpersonal needs.
Perceived burdensomeness is an individual’s mental state that perceives himself or herself as a burden to others. Such a mental state, of perceiving that others would “be better if I were gone”, is a result of an unmet social ability. This mental state explained the role of individuals’ innate need for connection and relatedness in allowing them to grow and become competent in managing their life [34]. Van Orden et al. [31] pointed out that the perception of being a burden to others can be induced by multiple factors, including functional impairment [35-37], unemployment [38], and family discord [39]. These factors induce perceived burdensomeness, which could lead to lower SWL among young adults who may or may not have experienced symptoms of depression, anxiety, and stress.
Thus, we hypothesised that:
H4: Perceived burdensomeness moderates the relationship between depression, anxiety, and stress on SWL.
H5: Thwarted belongingness moderates the relationship between depression, anxiety, and stress on SWL.
Many studies have explored the relationship between various psychological variables, such as depression, stress, anxiety, and SWL [40-45]. However, few studies have examined the role of interpersonal needs such as thwarted belongingness and perceived burdensomeness as the moderating factors in the relationship among depression, stress, anxiety, and SWL of university students. Our study aims to discover whether interpersonal needs will moderate the relationship among depression, anxiety, stress, and SWL of university students in two private universities in Malaysia. Perceived burdensomeness and thwarted belongingness act as the constructs of interpersonal needs.
Our research framework is illustrated in Figure 1.
INSERT FIGURE 1 HERE
Participants
Participants (N = 430) were recruited from private universities using convenient sampling method. Self-administered questionnaires were distributed to participants upon receiving approval from the institutional review board (SUREC 2018/044). Participating students were enrolled in the following programmes: Pre-University (N = 15), Diploma (N = 11), Undergraduate Degree (N = 397), and Postgraduate Degree (N = 7). Of the participants, 73.3% of them were between the ages of 19 and 21). Participants reported gender assigned at birth and female participants accounted for 58.6% of the responses whereas male participants accounted for 40.9%. Most of the participants were local students (90.0%) and some were international students (9.8%). In terms of family structure, participants reported the following: (i) extended family, composed of grandparents, parents, children, or relatives (38.4%), (ii) immediate family, composed of parents and children (53.5%), (iii) single-parent family, composed of father or mother and children (7.6%) and others (0.5%) Table 1 illustrates the demographic background of the participants both in frequency and percentage.
INSERT TABLE 1 HERE
Measures
DASS-21 Questionnaire (DASS). DASS is made up of three subscales, namely depression, anxiety, and stress. Each item in the questionnaire is rated on a four-point Likert scale, ranging from 0 (Did not apply to me at all) to 3 (Applied to me very much, or most of the time) for respondents to select their answers [46]. DASS is widely used and has been validated to assess the severity of depression, anxiety, and stress among different samples [47]. Depression is defined as a state of mind where the individual loses self-esteem and incentives, as if believing that he or she is incapable of achieving life-defining goals [48]. Anxiety is characterised as physiological hyper arousal, where the individual experiences nervousness, fearfulness, and autonomic arousal [48, 49]. Stress is characterised as negative affect or emotional state of mind, where the individual experiences persistent arousal, tension, and tolerates a low threshold for becoming upset and frustrated [48], DASS assesses stress as difficulty in relaxing, nervous arousal, easily upset or agitated, irritable or over-active, and impatient. One past study indicated that severe levels of depression, anxiety, and stress are highly associated with low life satisfaction among university students [16]. We selected DASS- 21 version as it is known to have good internal consistency and stable factor analysis structure to provide a desirable convergence to the study [50-53].
Interpersonal Needs Questionnaire (INQ). INQ is used to measure interpersonal needs in participants: nine items measure thwarted belongingness and six items measure perceived burdensomeness (see Appendix) [31]. Unlike DASS-21, items in INQ are rated on a five-point Likert scale, ranging from 1 (Not at all true for me) to 5 (Very true for me) [54]. Van Orden et al. [31] suggested that thwarted belongingness and perceived burdensomeness are closely related yet highly distinctive aspects within areas of psychology. They also explained that INQ has been subject to multiple group analyses among younger versus older adults and clinical versus non-clinical samples, and found applicable to diverse populations. Previous studies mentioned that the scores derived from this scale provides good validity and psychometric properties [31]. Hence, INQ is reliable enough to assess thwarted belongingness and perceived burdensomeness.
Satisfaction with Life Scale (SWLS). SWLS was developed by Diener et al. [55] It is a brief five-item instrument designed to measure the concept of life satisfaction, with each item rated on a seven-point Likert scale, ranging from 1 (Strongly disagree) to 7 (Strongly agree). According to Kobau et al.[56], SWLS demonstrated acceptable internal consistency reliability (Cronbach’s α = 0.88).
Assessment of Measurement Items
Common method bias was examined using the Harman’s one-factor test to detect the existence of a general factor that accounts for 50% of variance among the measurement items [57]. Both DASS and INQ did not seem to measure a single dimension. Additionally, DASS, INQ, and SWLS use 4-point, 5-point, and 7-point Likert-type response scales respectively to treat the effects of common method bias.
Next, exploratory factor analysis was applied to assess the measurement items. The principal component analysis using Varimax rotation method ensured that the items load on corresponding factors. The results of the factor analysis satisfied Kaiser-Meyer-Olkin Measure of Sample Adequacy (KMO-MSA) at a value above 0.5 [58] and Bartlett’s Test of Sphericity, which rejected the null hypothesis that the correlation matrix is an identity matrix.
The reliability analyses were used to assess the consistency of items in measuring the concept they set out to measure. Table 2 presents the descriptive and reliability statistics, where Cronbach’s alpha coefficient for all the variables were within the range of 0.847 to 0.952, which is well above the value of 0.70 recommended by Nunally [59]. No items were deleted to improve the internal consistency of the variables being studied. Mean score was used for interpretation of score. Although the mean value for anxiety for both genders is similar, male participants appeared to report a slightly higher mean value for depression (M = 1.94, S.D. = 0.69) and stress (M = 2.11, S.D. = 0.79). Female participants appeared to score higher for thwarted belongingness (M = 2.78, S.D. = 0.83). These results are similar to past research which found male students to report more severe depressive symptoms compared to female students. The independent-samples t-tests showed that only SWL appeared to be significantly different statistically across gender, where male participants reported a lower mean score compared to female participants (Table 2).
INSERT TABLE 2 HERE
Hypotheses Testing
Prior to the hierarchical regression analysis, the Pearson’s product moment correlation was applied to examine the association between the variables. Table 3 shows that the strength of correlation between the independent variables, namely depression, anxiety, and stress, are strong and statistically significant at r ≥ 0.60. Moreover, the independent variables appear to have stronger correlations with perceived burdensomeness than thwarted belongingness, and reported weak but statistically significant negative correlations with SWL.
INSERT TABLE 3 HERE
The moderating effects of perceived burdensomeness and thwarted belongingness were tested using a four-step hierarchical regression analysis as recommended by Sharma et al. [60] Step 1 tested the effect of gender as the control variable and it accounted for 2.3% of variance in SWL (β = -0.15, p < 0.01). Step 2 tested the effects of depression, anxiety, and stress (Hypotheses 1 to 3), where only depression accounted for 9.9% of variance in SWL. Anxiety and stress were not found to be significant predictors and hence, Hypotheses 2 and 3 are not supported.
Step 3 examined the inclusion of moderator variables (perceived burdensomeness and thwarted belongingness) as independent variables—Table 4 presents the regression analyses for perceived burdensomeness (left column) and thwarted belongingness (right column). The F change value was not significant with the inclusion of perceived burdensomeness to the structural path, but F change was significant with the inclusion of thwarted belongingness, which accounted for 4.7% of variance in SWL (β = 0.23, p < 0.01). Step 4 tested Hypotheses 4 and 5 by including the product of the independent variables and moderator variables. The interaction between depression and perceived burdensomeness (β = 0.76, p < 0.01), and the interaction between anxiety and perceived burdensomeness (β = 0.79, p < 0.01) contributed 16.0% of variance in SWL, thus partially supporting Hypothesis 4 (pure moderator). For thwarted belongingness, only stress (β = 0.73, p < 0.01) appeared to be a significant predictor, contributing 17.0% of variance in SWL, thus partially supporting Hypothesis 5 as quasi moderator.
INSERT TABLE 4 HERE
The post hoc graphs are developed only for interactions that are statistically significant in the fourth step of the hierarchical regression analysis (refer to Table 4). This step helps visualise the relationship between depression, anxiety, and stress with SWL under the moderating influence of perceived burdensomeness and thwarted belongingness. Figure 2 (i & ii) show that participants who scored lower than the mean average for perceived burdensomeness would experience lower SWL when they experience greater depression or anxiety. On the contrary, the relationship appears positive when perceived burdensomeness was rated higher than average.
INSERT FIGURE 2(i) and 2(ii) HERE
Figure 3 presents the negative linear relationship between stress with satisfaction in life among participants with low or high thwarted belongingness. The solid line represented a group of participants who scored lower than the mean average for thwarted belongingness whereas the dashed line represented the other group of participants who scored higher than the mean average for thwarted belongingness. Higher stress translates to lower satisfaction in life for both groups of participants. The negative relationship appears to be stronger for the group with higher thwarted belongingness.
INSERT FIGURE 3 HERE
The results of the stepwise hierarchical regression analyses presented in Table 4 showed that only depression predicted SWL even though all three exogenous variables, namely depression, anxiety, and stress, were negatively correlated with the SWL. The results also suggested interpersonal needs (perceived burdensomeness and thwarted belongingness) to be moderating variables that could potentially reduce or raise SWL among young adults.
With reference to Figure 2, the slopes indicate that individuals who scored low in perceived burdensomeness reported higher SWL compared to those who scored high in perceived burdensomeness. Another observation from the figure is the statistically indifferent low level of SWL across individuals who had been grouped into low and high levels of depression and anxiety. Based on Steps 3 and 4 of Table 4, perceived burdensomeness exhibited the characteristics of a pure moderating effect, thus suggesting its pivotal role in individuals’ well-being. Our study is one of the few studies that analysed the explanatory role of interpersonal needs in the cognitive component of SWL. Chu et al. found perceived burdensomeness and thwarted belongingness to explain suicidal ideation, a state of mind that is essentially the opposite of SWL [61]. A takeaway from this is that the negative perception of the self as a burden to others is not beneficial towards maintaining one’s well-being and could in fact be harmful. In the United States and in other countries, suicide prevention programmes now focus on the theme “You Matter”, which highlights the importance and significance of developing a sense of belongingness [62]. Counsellors in universities or colleges can incorporate similar themes of self-care in their sessions, with the aims of changing any negative perceptions students might have of themselves.
Figure 3 showed the quasi moderating effect of thwarted belongingness on the relationship between stress and SWL. Regardless of the levels of thwarted belongingness, the result showed that higher stress contributes to lower satisfaction with life. Figure 3 also explored the said relationship among individuals who scored low or high in thwarted belongingness. Surprisingly, the results showed that individuals who scored high on thwarted belongingness reported higher SWL, compared to individuals who scored low in thwarted belongingness. This is inconsistent with previous literature and a reason to it may be that, due to their desire for independence, young adults might be more inclined to withdraw and isolate themselves from others, gradually reducing their social circles and limiting their ability to seek social support when needed [63]. In addition, today’s generation of young adults are more inclined to interact virtually on online platforms, displacing valuable real-world interaction with family and friends. They experience an increased sense of freedom but over the course of time, their sense of belongingness dissipates and predispose them to feelings of loneliness and possibly the development of an egocentric personality.
Figure 3 also indicated that individuals facing higher stress reported lower SWL regardless of whether they reported low or high levels of thwarted belongingness. Participants with high levels of thwarted belongingness reported higher SWL compared to those with low levels of thwarted belongingness. This seems to suggest that sense of belongingness does not necessarily contribute to SWL. Higher levels of thwarted belongingness indicate lower sense of belongingness, as one has failed to form close social interactions. Surprisingly, regardless of stress level, individuals who scored high in thwarted belongingness were satisfied with their lives. In addition, these individuals have poorer ability to cope with stress compared to those who scored low in thwarted belongingness. This result is unique in that there are some individuals who could not cope well with stress and reported high levels of thwarted belongingness could be in denial, believing themselves to be satisfied with life. Thus, university or college counsellors should be aware of this denial attitude in young adults, which could be part of the young adults’ defence mechanism.
However, our finding is in contrast with some previous research. Civitci [64] found that undergraduate students who participate more in extracurricular activities have higher college belongingness and higher life satisfaction. Similarly, a study by Mellor et al. supported the ‘‘belongingness hypothesis”, suggesting that individuals seek to form long-term, meaningful, and positive relationships and that failure to achieve this contributes to social isolation, loneliness, and suicidal thoughts [65]. As our findings are inconsistent with that of past studies, it is essential to be cautious in drawing conclusions about the relationship between the need for belongingness and SWL.
The study was among the first study which adapted the IPQ and tested in the context of young adults in Malaysia. The findings are imperative as it helps the Malaysian mental help professions to understand that students who are satisfied with life might also experience depression and anxiety too. In addition, university students who experienced stress symptoms were not due to poor ‘interpersonal need’ or lack of sense of belongingness. Other aspects of issues that lead to stress symptoms needs to explore further. With more information about depression, anxiety and stress, appropriate awareness, detection and prevention programs can be implemented to reduce the depression risk and increase the mental health literacy of university students.
Suggestions for future study and limitations
Our findings highlight the necessity of preventing negative mental conditions and promoting positive mental health in young adults. Prevention activities such as school bullying, students’ educational accomplishment, employment planning activities, and educational transformation were the outcomes of the science of prevention [66]. Universities and colleges can offer more activities, as part of the science of prevention, that focus on students’ mental health. Higher education institutions should actively encourage this agenda of mental health [67] and execute activities that focus on advocating the importance of mental well-being among students.[66]
One method that has been found to benefit mental well-being is the art of mindfulness. Mindful individuals are better able to overcome negative affective outcomes despite experiencing high levels of perceived burdensomeness and thwarted belongingness. A study has suggested mindfulness training to be included as part of clinical intervention [68]..In academia, mindfulness techniques embedded in class activities, such as movement-based courss (e.g., Taiji quan, Pilates, and GYROKINESIS ®) which include a 15-week class syllabus, showed an increase in mindfulness scores among college students [69]. In addition, mindfulness-based interventions could lessen critical self-evaluation, which may improve self-acceptance and mental well-being [70]. Thus, future studies could investigate the effectiveness of mindfulness training incorporating experimental versus control groups.
It has been found that undergraduates would most likely seek help or emotional support from their friends (79.4%), and least likely from counsellors (7.2%). Only a small proportion of depressed students turn to counselling services and this issue needs to be investigated [71]. Social stigma could be a reason why students avoid seeking professional help. A systematic review done by Clement et al. [72] showed that mental health stigma has a small- to moderate-sized negative effect on individuals seeking help. Many researchers have indicated that students are unwilling to seek help from campus counselling support services because they are concerned about being stigmatised [5, 6] . Other findings have also shown that most young adults would seek help from friends instead of professionals. Friendships are of the utmost importance to young adults and hence, developing a peer support group in school counselling programmes could be an effective way to reduce suicide rates among the youths [73].
Early identification of college students with mental health conditions and comprehensive assessments are critical to provide immediate and adequate services to avoid undesirable outcomes or tragedies [6]. Continued rigorous research on the causes of depression and prevention programmes should be carried out to reduce the incidence rates of undesirable mental health conditions [74].
Finally, this study is not without its limitations. The DASS instrument is not equivalent to clinical diagnosis although DASS has been used and validated in various settings. Although our study reported the positive association between satisfaction in life and thwarted belongingness We recommend our findings to be interpreted with caution. This study was conducted be, this finding shall be interpreted with caution and limit the generalisability of the results. Replications of this study in various setting maybe necessary. In addition, self-administered questionnaire was used and may pose risk of social desirability bias. Thus, future studies shall be expanded to broader sampling and include evidences obtained from students’ personal records and data (e.g., Facebook and Instagram posts which may project their state of well-being).
Our study aimed to examine the relationship among depression, anxiety, stress, and SWL among university students in Malaysia. Furthermore, we wanted to determine the moderating effect of interpersonal needs, specifically perceived burdensomeness and thwarted belongingness, on this relationship. Perceived burdensomeness is indeed a significant moderator on the relationship between (i) depression, (ii) anxiety and SWL. On the other hand, thwarted belongingness exerts significant moderating effect on the relationship between stress and SWL.
Interestingly, we found a positive relationship between thwarted belongingness and SWL, which is in contrast to findings from past research. We attribute this unique finding to the fact that our participants are from “Generation Z”, whose lives have been greatly influenced by new technologies. The ways in which they communicate (i.e., through online social media) and how they garner a sense of belongingness are very different from their older counterparts. At the point of writing, generational variance has not been given enough attention in clinical and teaching settings. We believe the concept of generational differences should be examined further in research and that mental health practitioners as well as teaching staff should be more aware of its effects. This research lend supports to Ventriglio & Bhugra (2015), who claimed that every, generation has its own way or method of learning and keeping information, and how the young adults of today live and interact among themselves are changing as well [75]. Their idea of life satisfaction or their perspective on life might be different from college students of earlier generations. Our research sets the stage for future researchers to investigate mental health conditions further, particularly among Generation Z college and university students. Han et al. [76] and Kovess-Masfety et al. [77] also recommended that future studies on mental health conditions to include non-college attending young adults. In addition, future studies could consider other control variables that may act as predictors to life satisfaction (e.g., quality of intimate relationships, attachment style, academic performance).
DASS: Depression, Anxiety, and Stress Scale; KMO-MSA: Kaiser-Meyer-Olkin Measure of Sample Adequacy; INQ: Interpersonal Needs Questionnaire; M: Mean; S.D.: Standard deviation; SWL: Satisfaction with Life Scale
Acknowledgement:
We thank Ms. Neeta S. Singh and Ms Sarah Loh Wai Yin for their professional proof reading and editing services; Ms. Neerushah Subarimaniam for providing constructive feedback, Ms Tan Wei Tong and Ms Chloe Kwok Wei Yan for their contribution during data collection period.
Authors’ contributions:
KSK originated the design of the study, collected data, performed statistical analysis. KSK, Tan CC and OPB interpreted and drafted the manuscript. KSK, TCC and OPB critically revised the draft manuscript. All authors have read and approved the final manuscript
Funding:
The author(s) received no financial support for research, authorship, and/or publication of this article.
Availability of data and materials
The generated dataset is available upon request to the corresponding author at the contact address in this article.
Ethics Approval and Consent to Participate:
Written informed consent was obtained from participants who took part in the study and Sunway University Research Ethics Approval was obtained (SUREC 2018/044). This article does not contain any studies with animals.
Consent for publication:
Not applicable.
Competing interests:
All authors declare no conflict of interest.
Table 1. Demographic characteristics of participants
Demographic Variables |
Frequency |
% |
Age 16 to 18 years 19 to 21 years 22 to 24 years More than 25 years |
18 315 93 4 |
4.2 73.3 21.6 0.9 |
Gender Male Female Missing data |
176 252 2 |
40.9 58.6 0.5 |
Nationality Local student Foreign student |
387 42 |
90.0 9.8 |
Missing data |
1 |
0.2 |
Type of Family Structure Blended family- includes grandparents, parents, children and relatives Nucleus family- includes parents and children Single parent family- includes either father or mother and sibling(s) Others |
165 230 33 2 |
38.4 53.5 7.6 0.5 |
Table 2. Descriptive and reliability statistics of participants
Score |
Range |
Mean (SD) |
Mean (SD) |
Cronbach’s Alpha |
Male |
Female |
|||
Depression |
0–3 |
1.94 (0.69) |
1.85 (0.62) |
0.890 |
Anxiety |
0–3 |
1.82 (0.72) |
1.82 (0.65) |
0.895 |
Stress |
0–3 |
2.11 (0.79) |
2.03 (0.74) |
0.924 |
Perceived burdensomeness |
1–5 |
1.81 (0.97) |
1.68 (0.92) |
0.952 |
Thwarted belongingness |
1–5 |
2.78 (0.83) |
2.92 (0.77) |
0.847 |
Satisfaction with life* |
1–7 |
3.78 (1.50) |
4.25 (1.41) |
0.938 |
Note: * Significant difference between male and female participants.
Table 3. Correlation between variables
Variables |
ALL |
|||||
(1) |
(2) |
(3) |
(4) |
(5) |
(6) |
|
(1) Depression |
1 |
|
|
|
|
|
(2) Anxiety |
0.63** |
1 |
|
|
|
|
(3) Stress |
0.63** |
0.67** |
1 |
|
|
|
(4) Perceived burdensomeness |
0.62** |
0.57** |
0.54** |
1 |
|
|
(5) Thwarted belongingness |
0.15** |
0.23** |
0.24** |
0.17** |
1 |
|
(6) Satisfaction with life |
-0.28** |
-0.15* |
-0.15** |
-0.23** |
0.19** |
1 |
Significant levels: ** p < 0.01, * p < 0.05,
Table 4. Hierarchical regression analysis: The moderating effect of perceived burdensomeness and thwarted belongingness
Perception |
Outcome |
Perception |
Outcome |
|||||||||||
Satisfaction with life |
Satisfaction with life |
|||||||||||||
Step 1 |
Step 2 |
Step 3 |
Step 4 |
Step 1 |
Step 2 |
Step 3 |
Step 4 |
|||||||
Control Variable |
|
|
|
|
Control Variable |
|
|
|
|
|||||
Gender |
-0.15** |
-0.13** |
-0.13** |
-0.12** |
Gender |
-0.15** |
-0.13** |
-0.11* |
-0.12** |
|||||
Independent Variable |
|
|
|
|
Independent Variable |
|
|
|
|
|||||
Depression |
|
-0.32** |
-0.28** |
-0.57** |
Depression |
|
-0.32** |
-0.31** |
-0.55* |
|||||
Anxiety |
|
0.02 |
0.04 |
-0.31* |
Anxiety |
|
0.02 |
-0.01 |
0.12 |
|||||
Stress |
|
0.05 |
0.07 |
0.28* |
Stress |
|
0.05 |
0.01 |
-0.54* |
|||||
Perceived burdensomeness |
|
|
-0.10 |
-0.86** |
Thwarted belongingness |
|
|
0.23** |
-0.20 |
|||||
Interaction Term |
|
|
|
|
Interaction Term |
|
|
|
|
|||||
Depression*Perceived burdensomeness
Anxiety*Perceived burdensomeness
Stress*Perceived burdensomeness |
|
|
0.76**
|
Depression*Thwarted belongingness
Anxiety*Thwarted belongingness
Stress*Thwarted belongingness |
|
|
0.34 |
|||||||
|
|
0.79**
|
|
|
-0.19 |
|||||||||
|
|
-0.43 |
|
|
0.73* |
|||||||||
R2 |
0.02 |
0.10 |
0.10 |
0.16 |
R2 |
0.02 |
0.10 |
0.15 |
0.17 |
|||||
F Change |
10.01** |
11.82** |
2.47 |
8.88** |
F Change |
10.01** |
11.82** |
23.21** |
4.65** |
|||||
F |
10.01** |
11.56** |
9.77** |
9.78** |
F |
10.01** |
11.56** |
14.38** |
10.96** |
|||||
Durbin-Watson |
1.92 |
Durbin-Watson |
1.90 |
|||||||||||
Significant levels: ** p < 0.01, * p < 0.05