Anxiety and depression in children and adolescents with obesity: a nationwide study in Sweden

Individuals with obesity aged 6–17 years and enrolled in the Swedish Childhood Obesity Treatment Register (BORIS) between 1 January 2005 and 30 September 2015 were included in this study. The main purpose of the register is quality assessment and long-term monitoring of obesity treatment in children and adolescents [19]. The register, which was initiated in 2005, includes information on anthropometric measures, biochemical analyses, physical activity, psychosocial situation, family history of disease, and data on current and former medical diagnoses. Treatment of childhood obesity is based on behavioural lifestyle modification. After an opt-out approval, local health care providers record weight and height data in the register during each clinical visit. The register does not include any information on children/adolescents with obesity who decline registration.

Individuals from the general population were matched to individuals in the obesity cohort according to year of birth, sex, and area of residence, by the year in which obesity treatment commenced. The area of residence was defined by the approximately 2000 districts in Sweden. Information on anthropometry was not available for individuals in the general population. Matching was performed using density matching without replacement, with five individuals from the general population per child with obesity. Using unique personal identity numbers allocated to all Swedish citizens [20], data from several national registers was linked by the governmental agencies Statistics Sweden (www.​scb.​se/​en) and the National Board of Health and Welfare (www.​socialstyrelsen.​se/​en). Information on SES was collected from the Longitudinal Integration database for Health Insurance and Labour Market studies, and information on anxiety and depression among the study subjects and their parents was collected from the National Patient Register and the Swedish Prescribed Drug Register.

Individuals with genetic syndromes, a diagnosis of malign tumours, or moderate to severe intellectual disability were excluded from both groups (Fig. 1 and Additional file 1). In an attempt to ensure that exposure occurred before outcome, individuals with a history of anxiety or depression before the onset of obesity treatment were also excluded (Fig. 1). The regional Ethics Committee in Stockholm, Sweden, approved the study (No. 2016/922-31/1).

Information on children and adolescents in obesity treatment was collected from the Swedish Childhood Obesity Treatment Register. The degree of obesity was expressed as a body mass index standard deviation score (BMI SDS) [21]. The change in BMI SDS from the first to the last clinical visit was used to measure treatment response and categorised into four groups: good response (decrease of ≥ 0.25 BMI SDS units) [22], no response (decrease of < 0.25 to increase of < 0.25 BMI SDS units), poor response (increase of ≥ 0.25 BMI SDS units), and dropouts. Dropouts included children with 6 months or less between their first and last measurement of weight and height or with no clinical follow-up after their initial treatment visit.

Diagnoses and information on medication, prescribed for anxiety and/or depression, were collected for individuals between 6 and 18 years of age and within 3 years after the end of obesity treatment. Diagnoses were identified by means of ICD codes according to the International Classification of Diseases 10th revision (ICD-10) or dispensed prescribed medication using the Anatomical Therapeutic Chemical classification system (ATC) (anxiety disorder: ICD-10 F40-42, ATC N05B, N05CD; depressive disorder: ICD-10 F32-F33, ATC N06A; see Additional file 1). In Sweden, diagnoses of anxiety and depression and prescriptions for anxiolytics and antidepressants are only given by physicians during inpatient or outpatient health care visits [23]. The National Patient Register contains data on clinical diagnoses from inpatient care and outpatient services with national coverage since 1987 and 2001, respectively [23]. Dispensed prescribed anxiolytics and antidepressants have been recorded in the Swedish Prescribed Drug Register since 2005 [24]. In Sweden, health care visits are free of charge until children reach 18 years of age. Since 1 January 2016, prescribed medication has been free of charge for individuals under 18 years of age and was heavily subsidised prior to that (limit of approximately 220 EUR per person per year).

Information on sex and Nordic background was obtained from the Swedish Total Population Register [25]. Backgrounds were defined as Nordic (child and at least one parent born in a Nordic country [Sweden, Norway, Denmark, Finland, or Iceland]) and non-Nordic (child born outside the Nordic region or born in the Nordic region, but where both parents were born outside the Nordic region). Neuropsychiatric disorders were defined as diagnosis of attention deficit disorder with or without hyperactivity (ADHD/ADD), mild intellectual disability, and/or autism spectrum disorder based on ICD-10 codes (Additional file 1). Children with ADHD/ADD were also identified using data on prescriptions of medications for these conditions (Additional file 1). Data on age and BMI SDS at the start of obesity treatment was obtained from the Swedish Childhood Obesity Treatment Register, and information on age at first anxiety and/or depressive disorder was obtained from the Swedish Prescribed Drug Register and the National Patient Register.

Family history of anxiety and depression was defined as diagnosis or at least two dispensed prescribed medications for either parent (Additional file 1). SES was estimated on the basis of level of maternal and paternal education, occupation, and income [16]. The highest attained level of education was classified as completion of compulsory education, upper secondary education, or university degree (scores 0, 1, and 2), according to the International Standard Classification of Education [26]. Annual disposable income, converted to 2015 prices using the Consumer Price Index (www.​scb.​se/​en), was categorised into quartiles (scores 0, 1, 2, and 3). A period of at least 6 months of unemployment was defined as no occupation (score 0). Occupation included people registered as employed for most of the year in question (score 1). Data was taken from three points in the child’s life: at ages 6, 12, and 17 years. The mean of all available data points (0–6 points) for SES was calculated and categorised into four groups: low SES (0–1.5 points), medium-low SES (2–3 points), medium-high SES (3.5–4.5 points), and high SES (5–6 points). If the child had both biological and adoptive parents (obesity cohort n = 136, comparison group n = 928), data on the adoptive parent was used.

Cox proportional models were used to calculate the hazard ratio (HR) and 95% confidence interval (CI) for the outcomes. Follow-up began at the start of treatment (the date of treatment initiation for each individual with obesity was applied to their matched peers in the comparison group) and ended at first anxiety or depressive disorder, emigration, death, 18 years of age, 3 years after the end of obesity treatment, or the closing date (30 November 2018), whichever came first. Multivariate Cox proportional hazard analyses included adjustment for Nordic background, neuropsychiatric disorders, family history of anxiety/depression, and SES. Sensitivity analyses were performed, excluding children with neuropsychiatric disorders and children with a family history of anxiety/depression.

Secondary analyses were performed in individuals with obesity to investigate the impact of several covariates on the risk of anxiety or depression. All analyses were performed using SAS version 9.4 (Cary, NC, USA). Complete case analyses were performed as missing data was rare (missing SES; obesity cohort 0.6%, comparison group 1.4%).

Obesity was a strong risk factor for anxiety and depression in both sexes: adjusted HR [95% CI] for girls was 1.43, [1.31–1.57], p < 0.0001, and for boys 1.33, [1.20–1.48], p < 0.0001 (Additional file 2). History of maternal and paternal anxiety/depression was of equal importance for the risk of anxiety and depression in children both with and without obesity (Fig. 2).

In sensitivity analyses, excluding children with neuropsychiatric disorders and a family history of anxiety/depression, the risks for anxiety and depression were even higher in individuals with obesity compared with the adjusted risk estimates from the main analyses (Table 2). Interaction analyses were performed to explore whether the association between childhood obesity and the risk of anxiety and depression was modified by co-existing neuropsychiatric diagnoses. Adjusted analyses showed that the association between obesity in childhood and the risk of anxiety and depression was attenuated by neuropsychiatric disorders in both sexes (test for interaction p < 0.001, data not shown).

Descriptive statistics for children and adolescents with obesity are shown in Additional file 3. At the last clinical visit, 37% of individuals who had undergone obesity treatment had morbid obesity, 48% obesity, 14% overweight, and 1% normal weight.

In both boys and girls, the risk of anxiety and/or depressive disorders increased with increasing age at the start of obesity treatment (Table 3). Significant risk factors for anxiety and depression in children and adolescents with obesity included poor treatment response, dropping out of obesity treatment, Nordic origin, neuropsychiatric disorders, and a family history of anxiety/depression (Table 3).

Although there is a vast literature examining the association between obesity, anxiety, and depression in children and adolescents [5‐11], results are diverging and comparison of results between studies is hampered by differences in definitions of exposure and outcome, as well as between study populations. Results from this study are consistent with findings from a German study reporting higher odds of physician-diagnosed anxiety and depression in children with obesity compared to children without obesity [27]. However, estimated risks in that study—as opposed to the current study—were not adjusted for migration background, family history of anxiety and depression, or SES. Another study found increased risk of depressive symptoms, but not depressive disorder, in adolescent girls with obesity compared to girls without obesity [28].

Anxiety and depressive disorders aggregate in families with a moderate heritability (40–50%) between probands and first-degree relatives [29]. In accordance with our results, previous research [30, 31] reports similar effect size of maternal and paternal depression on the risk of anxiety or depression in the offspring.

The effect of SES on the risk of anxiety and depression in individuals with obesity was limited in this study. In contrast, low parental education and income were identified as significant risk factors for depression in American adolescents. These diverging findings may reflect the fact that socioeconomic differences are greater in the USA than in Sweden, and also differences between health care systems [32].

Depression during obesity treatment presents an additional challenge for patients trying to modify their lifestyle for weight management purposes. In a clinical study of adults with obesity who were enrolled in a weight centre programme, patients with major depressive disorder lost less weight than non-depressed patients [33]. Depression is often accompanied by increased or decreased appetite [34, 35], negative thinking, low motivation, decreased self-esteem, and fatigue [35], which may adversely impact adherence to treatment. In the current study, boys—but not girls—with good treatment results were at lower risk of anxiety and depression compared to peers with poor treatment response. However, the design of the present study does not allow any conclusions with regard to causality.

The link between obesity and anxiety/depression may be due to shared environmental, physiological, and/or genetic factors. Obesity is associated with a systemic subclinical inflammation and oxidative stress, implicated as important aetiological factors of depression [36]. Moreover, some genotypes of the FTO gene (a gene associated with fat mass and obesity) have been associated with risk of both obesity and depression [37]. Another factor to take into consideration is the effect on body weight of potential pharmacological treatments for anxiety and depression. Prescription of anxiolytics [38] and antidepressants [39] to children and adolescents has increased rapidly over the past decade. Some of these medications have been associated with risk of both weight loss and weight gain, with major variation between individuals [40]. Psychotherapy is an alternative treatment for anxiety and depression [41] and is always considered as part of the treatment of patients with these diagnoses.

There are several other potential factors that may impact the association between obesity, anxiety, and depression. Low physical activity, unhealthy diet, and sleep disturbance are a few of the factors associated with both depression and obesity [36, 42]. In addition, children with obesity are often bullied or teased about their weight, experiences that may lead to anxiety and depressive symptoms [43].

Unlike previous studies [5‐11, 32], we used prospectively collected information on measured weight and height and identified individuals with anxiety and depression based on diagnosis or dispensed prescribed medications. The comparison subjects were matched to children with obesity on demographic variables, and several confounders were accounted for when estimating risks. However, the present study also has some limitations. We had no information on the weight and height of the children in the comparison group, nor on the parents. The prevalence of obesity in individuals aged 7 to 17 years in Sweden is estimated to somewhere between 4 and 8% [44]. Thus, we cannot rule out that there are individuals with obesity in the comparison group. Nevertheless, if there are individuals with obesity in the comparison group, this would only lead to a bias towards null, i.e. the association between obesity, anxiety, and depression would be weakened. Furthermore, it is possible that individuals in the obesity cohort may not be representative of children with obesity in general. It may be possible that individuals receiving obesity treatment may be more motivated to make changes and more conscious of their health than peers with obesity who are not receiving treatment. Cultural differences, socioeconomic aspects, comorbidity, and previous experiences of health care are factors which may impact an individual’s choice of whether or not to seek treatment.

To limit the time between exposure and outcome, the outcome had to occur no later than 3 years after the end of obesity treatment. It is therefore possible that individuals in the obesity cohort no longer had obesity at the time of diagnosis or pharmacological treatment of anxiety and depression. However, in this study, the treatment effect was modest and the majority (85%) still had obesity at the last clinical visit.

There is also a risk of surveillance bias in the obesity cohort. It is possible that children in obesity treatment are diagnosed with anxiety or depression to a greater extent than individuals with obesity who are not in treatment or compared to peers from the general population. However, the opposite is also possible, i.e. that health care providers continue to focus on treating obesity, and not on other co-existing symptoms. Lastly, determining a diagnosis of anxiety or depressive disorder can be difficult. In Sweden, a licenced specialist in psychiatry most often provides the diagnosis. It must further be acknowledged that overall rates of anxiety and depression may be underestimated, as a large proportion of individuals suffering from these conditions do not seek medical care [45]. However, there is no reason to believe that this pattern would differ between children and adolescents with and without obesity.