Introduction
Research has shown a bidirectional association between depression and obesity in adults, but when it comes to research in the younger population, the results are mixed (Muhlig et al.
2016). Sutaria et al. found that obese females had a higher risk for future depression (Sutaria et al.
2018), while Robert et al. did not find any association between major depression and the risk for obesity in adolescents (Roberts and Duong
2015). Some authors have discussed the importance of body image for the link between major depression and body weight (Roberts and Duong
2015). Sjoberg et al. reported that obesity was indeed significantly related to depressive symptoms among 15 and 17 year-olds (Sjoberg et al.
2005), but that this association was explained by other factors, most importantly by overall ‘experiences of shame’ (such as being degraded, made fun of or ridiculed by others) (Sjoberg et al.
2005), which can be seen as bullying victimization. Because obesity is a visible trait with known stigmatization,
1 even within family (Puhl et al.
2013), this might explain these results.
Individuals with obesity are indeed often stigmatized in many different situations; that is, others often devalue them because of their weight (Puhl and King
2013). In school, obese children (8–16 years) were more often described by non-overweight children as socially withdrawn, less physically attractive, sicker, more often getting into fights or being teased by others, and being more absent from school (Zeller et al.
2008). Classmates also less often reported obese children as a best friend (Zeller et al.
2008).
Bullying among adolescents is common. In a longitudinal community-based study, half of the male 14 year-olds and one-third of females reported an experience of bullying in school (Mamun et al.
2013). In a European study, including more than 11,000 pupils from ten countries, the overall prevalence was 9.4% for physical, 36.1% for verbal and 33.0% for relational bullying, whereas only about half of the pupils (48.4%) had not experienced any type of victimization and 4.5% suffered from all types of victimization (Barzilay et al.
2017). Overweight and obese adolescents have been shown to be subjected to higher rates of bullying than their non-overweight peers (Puhl and King
2013).
Experiencing victimization, such as physical abuse or bullying, is highly associated with depression and anxiety, and the risk increases with additional forms of victimization (Mossige and Huang
2017). In a recent twin study including over 11,000 participants, Singham et al. showed that victimization by bullying at 11 years of age had a causal contribution to symptoms of depression and anxiety as well as to cognitive disorganization (Singham et al.
2017). The effects decreased over time, but persisted for at least two years regarding anxiety and for five years for cognitive disorganization (e.g. easily distracted, hard to make decisions, confusion when much happens at the same time) (Singham et al.
2017). In a study of adolescents in Taiwan, Yen et al. found that body mass index (BMI) was positively associated with the degree of victimization by bullying (both passive and active) (Yen et al.
2014), and that victimization by bullying had a mediating effect on the relation between BMI and depression (Yen et al.
2014). However, considering the cross-sectional design of their study, inferring causality was impossible. A negative perception of social acceptance and competence has previously been associated with depressive symptoms (Kistner et al.
2006; Lee et al.
2010). In addition, depressive symptoms have been associated with negatively biased perceptions of social acceptance (Kistner et al.
2006). Self-reported victimization by bullying might therefore be an important indicator of low social acceptance and could, thereby, be an early risk indicator of future depressive symptoms.
It is well established that women are more likely than men to suffer from depression, and these
gender differences2 tend to emerge during adolescence (Hyde et al.
2008; Kuehner
2003). There are both biological and social pathways involved in the development of these gender differences, for example, pubertal timing and negative life events, such as sexual harassment (Byrne et al.
2015; Hyde et al.
2008). A recent meta-analysis found that gender differences for depression were already present at 12 years of age (OR 2.37) with increasing OR for the ages 13–15 years (3.02) and a decline in OR for the ages 16–19 years (Salk et al.
2017). A similar pattern was found for depressive symptoms. The effect sizes increased from 0.09 (Cohen’s d) for 8–12 year-olds to 0.35 at ages 13–15 years, and again to 0.41 for ages 16–19 years (Salk et al.
2017). The effect size then declined to 0.30 for ages 20–29 years where it remained statistically stable (Salk et al.
2017). Therefore, the time period starting from 12 years, or even younger, is a sensitive time period for all adolescents, but with important gender differences that need to be considered when assessing the development of depressive symptoms. Therefore, it is important to conduct research in these age groups to find causal factors behind this prevalent disorder.
Bidirectional links between obesity, bullying, and depression have been previously shown, and cross-sectional studies have suggested that experiences of victimization may influence the association between BMI and depression in youth (Sjoberg et al.
2005; Yen et al.
2014). However, to our knowledge, there are no longitudinal studies that investigate interaction effects between bullying victimization and BMI on the development of future depressive symptoms in youth. Therefore, this study fills a gap in the research field regarding the risk factors for developing depressive symptoms in youth.
Aim
The aim of this study was to investigate whether excess BMI predicts future depressive symptoms, and if this relation is further modified by bullying victimization in adolescence.
Discussion
In this study, we analysed the longitudinal associations between BMI, bullying victimization and interaction effects in relation to future depressive symptoms in adolescents. Overall, we found that higher BMI was associated with increased odds for depressive symptoms long term with indications of gender differences. We also found support for a longitudinal association between bullying victimization and future depressive symptoms. We further found an interaction effect between bullying and BMI in relation to future depressive symptoms, but with different patterns for males and females.
The mixed results reported previously might be explained by a joint development of obesity and depression in predisposed subjects (Muhlig et al.
2016). More recently, a higher BMI at age 14 was associated with more depressive symptoms, measured using the Beck Depression Inventory (BDI) for Youth, at age 17 (Oddy et al.
2018). Although Oddy et al. discussed the role of inflammation, for example, C-reactive protein (CRP) levels in depression, they did not include bullying as an important factor in their study. However, it is important to take bullying into account when interpreting findings, as childhood bullying, adjusted for BMI, has been shown to predict long-term increases in CRP levels (Copeland et al.
2014).
Several studies point towards an important social component in the path to depression. A study from 2013 showed that the perceived weight, irrespective of the actual weight, was associated with depression (Roberts and Duong
2013). Duong and Roberts (Duong and Roberts
2016) found that healthy-weight females had approximately twice the odds, compared with healthy-weight males, of perceiving themselves as overweight, but overweight or obese males had about twice the odds, compared with females, of misperceiving themselves as being of healthy weight (Duong and Roberts
2016). This indicates that females’ higher level of depressive symptoms might be due, in part, to their misperception of their own weight. This in turn might be explained by higher levels of self-evaluation, or
self-objectification, described as a form of self-consciousness characterized by the habitual monitoring of one’s outward appearance (Slater and Tiggemann
2010). Ideals linked to body build are already present at a very young age (Lerner
1985). Body size, body shape and attractiveness are among the first attributes we come in contact with in new social contexts (Gilbert
1997) and can therefore easily be judged by ourselves or by others just by a glance. This can affect individuals differently depending on the groups they are involved with, the present societal norms, individual preferences, as well as their sex. Weight stigma is subsequently present already at preschool age (Pont et al.
2017), and not only occurs among peers, but is also affected by parents, schoolteachers and health-care staff (Pont et al.
2017). An internalization of these ideals leads to ‘significant discrepancies between women’s perceived real and ideal body shapes’ (Rosenblum and Lewis
1999) and behaviours such as dieting and exercise in attempts to reach these ideals (Rosenblum and Lewis
1999). The internalization of weight stigma is associated with lower self-esteem (Puhl and Latner
2007). Concerning adolescents, Rosenblum and Lewis found that during the same time period (13–15 years old), the body image of females worsened while that of males improved (Rosenblum and Lewis
1999). Bullying could, of course, increase the awareness of the present ideals and be an important factor in these relationships. Overall, men have more muscle mass and females more fat mass (Karastergiou et al.
2012). Because we did not assess body composition or weight stigma in this study, this interpretation is speculative.
In this study, bullying victimization was associated with increased odds for depressive symptoms three years later as well as six years later. Previous studies have reported inconclusive findings in this area as well. In a sample of 880 Swedish 12–16 year-olds, Kendrick et al. (Kendrick et al.
2012) found that victimization by bullying was associated with depression one year later, measured by an adapted form of the Center for Epidemiologic Studies Depression Scale (CES-D) (Radloff
1977), which is in line with our findings. In addition, ‘experiences of shame’ analysed by Sjoberg et al. (Sjoberg et al.
2005), which explained the findings between obesity and depressive symptoms, could be considered another way of measuring bullying (Sjoberg et al.
2005). In contrast, a study of Finnish 13–16 year-olds showed that depression predicted future victimization but not the other way around (Sentse et al.
2017). This difference might have arisen because although that study used the BDI (Beck and Steer
1984), some questions were removed (e.g. regarding suicidal ideation/attempt and appetite/weight changes). In the present study, we included all depressive symptoms listed in the DSM-IV in our assessment. The CES-D scale used by Kendrick et al. (Kendrick et al.
2012) also includes appetite but not suicidal ideation or attempt. This indicates that the results, at least in part, depend on the constructs of the bullying and depressive symptom scales, and that victimization by bullying is associated with some, but not all, depressive symptoms. Sentse et al. (Sentse et al.
2017) reported that depressive symptoms predicted future bullying. The idea that victimization and shame exacerbate one another in a cyclical process (Irwin et al.
2019a,
b) would indeed explain these findings.
The need to belong and to form close relationships is fundamental for human behaviour (Baumeister and Leary
1995). Because adolescence is associated with many different stressors through biological, psychological as well as socio-cultural changes, the individual’s ability to cope with and adapt to these changes is key for their ability to
fit in their individual contexts (Lerner
1985). For instance, relations outside the family become more important than before (Irwin et al.
2019a). Acceptance in these new social contexts is important (Irwin et al.
2019a), which is associated with increased social comparison and self-evaluation (Rosenblum and Lewis
1999). Adolescence is also a sensitive period for in-group biases, which are linked to amygdala activation as shown through functional magnetic resonance imaging, and to the recognition of socially important values and attitudes (Moreira et al.
2017). Shame is considered the premier social emotion (Scheff
2003) and is associated with the perception of social status (Gilbert
1997). Threats to the social self give rise to feelings of shame as well as pro-inflammatory cytokines and cortisol in the same manner as threats to the physical body elicit fear (Dickerson et al.
2004). Shaming practices can be aimed at groups, such as a specific sex or race (Gilbert
1997). If an individual perceives themselves as a member of a targeted group, this perception, the
group identity, affects his/her emotions (Gilbert
1997), and also their behaviour and friendships (Rutland et al.
2012). Tilghman-Osborne et al. found that shame and characterological self-blame (CSB), a cognitive style where individuals blame themselves, ‘converge into a common construct’, which was related to depressive symptoms (Tilghman-Osborne et al.
2008). With this in mind, bullying can be seen as a threat to the social self with increased stress levels (Zarate-Garza et al.
2017). Bullying has indeed been associated with increased feelings of shame (Irwin et al.
2019a).
A twin study assessing possible associations between bullying and depressive symptoms found that additive genetic influences accounted for 65% of the variance in symptoms of depression and anxiety (Connolly and Beaver
2016). At the same time, this genetic influence might also contribute to the risk of bullying victimization through, for example, the serotonin system and problem-solving strategies (Connolly and Beaver
2016). Regarding the former, genetic variations have been linked to differences in stress resilience (Southwick et al.
2005). For the latter, adolescent victims of bullying have reported more emotional coping than non-victims (Undheim et al.
2016). This was in turn linked to depressive symptoms (Undheim et al.
2016). Interestingly, shame, bodily shame in particular, was shown to increase the risk for chronic peer victimization (Irwin et al.
2019a), which supports the idea of a self-reinforcing loop between bullying and depressive symptoms, with shame at the centre. Shame of one’s body may have serious effects on behaviour and confidence in social contexts (Gilbert
1997). Body surveillance, considered a behavioural manifestation of self-objectification, was suggested to be associated with disordered eating via body shame (Slater and Tiggemann
2010). We did not assess eating behaviour in this study, which should be taken into account when interpreting the study results. Although this topic lies beyond the scope of the present study, it should be emphasized that depressive symptoms are not the only, or worst, consequence of victimization by bullying (Rafiq et al.
2018; Zarate-Garza et al.
2017).
Considering the additive effect of genetic vulnerabilities (which we cannot change) and the environment (which we might be able to change), we should focus on reducing bullying irrespective of its nature, and provide adolescent bullying victims with tools to cope with their situation without blame on the victim or on the perpetrator (Weber et al.
2013). Researchers should consider including bullying when investigating BMI and depressive symptoms in future studies. It might also be fruitful to investigate the association of different depressive symptoms separately to elucidate these relationships.
Strengths and limitations
One of the major strengths of this study is the longitudinal design with three time points of data collection that encompassed most of the adolescent years up to adulthood. In addition, we analysed the association between the parameters of interest separately in females and in males, which revealed different patterns. Another strength was that we used international age- and sex-specific cut-offs for BMI, which are important during the adolescent years when the body changes, sometimes rapidly. When analysing W3 dropouts, results showed that none of the most important study variables (BMI category, depressive symptoms, high bullying scores or ethnicity) had any significant impact. One limitation of this study was the use of self-evaluation reports, which could either under- or overestimate key variables. Body composition or disordered eating was not assessed and could therefore not be taken into account. The response frequency was low (about 39.6%) for W1. The dropout analyses showed that more males than females had missing data for W3, which could have affected the level of significance for the observed differences.
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