Key Points
Question
Is residential mobility over the life course associated with the subsequent risk of developing nonaffective psychotic disorders?
Findings
In this prospective cohort study of 1.4 million young people living in Sweden, followed up each year from birth to age 29 years, more frequent moves during childhood and adolescence were associated with increased risk for nonaffective psychosis, peaking between age 16 to 19 years, with moves longer than 50 km independently associated with greater risk. There was less evidence that moving in adulthood increased risk, except among those who moved 4 or more times.
Meaning
The risk of nonaffective psychosis in young people was associated with greater residential mobility during formative periods of childhood and adolescence, which is consistent with the possibility that the disruption of social networks, peer support, and identity formation are relevant to the etiology of psychosis.
Abstract
Importance
Residential mobility (changing residence) during childhood and early adolescence is a possible risk factor for several adverse health outcomes, including psychotic disorders. However, it is unclear whether sensitive periods to residential mobility exist over the life course, including in adulthood, or if greater moving distances, which might disrupt social networks, are associated with a greater psychosis risk.
Objective
To examine the association between residential mobility over the life course and the risk of nonaffective psychosis.
Design, Setting, and Participants
This prospective cohort study included all people born in Sweden between January 1, 1982, and December 31, 1995, who were alive and resided in Sweden on their 16th birthday who were followed up until up to age 29 years (ending December 2011). Participants were followed until receiving a first diagnosis of an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) nonaffective psychotic disorder (F20-29), emigration, death, or the end of 2011, whichever was sooner. National register linkage provided exposure, outcome, and covariate data (complete data were available for 1 440 383 participants [97.8%]).
Exposures
The exposures to distance moved and the number of residential moves were examined for participants at the following periods over the life course: 0 to 6 years, 7 to 15 years, 16 to 19 years, and 20 years and older.
Results
This study included 1 440 383 participants, of whom 4537 (0.31%) had nonaffective psychotic disorder (median age, 20.9 [interquartile range, 19.0-23.3]). More frequent moves during childhood and adolescence were associated with an increased risk of nonaffective psychosis that showed dose-response associations independent of covariates. The most sensitive period of risk occurred during late adolescence; those who moved during each year between age 16 to 19 years had an increased adjusted hazard ratio (HR) of 1.99 (95% CI, 1.30-3.05) compared with those who never moved. One move during adulthood was not associated with psychosis risk (adjusted HR, 1.04; 95% CI, 0.94-1.14), but moving 4 or more times during adulthood was associated with increased risk (adjusted hazard ratio, 1.82; 95% CI, 1.51-2.23). Independently, moving greater distances before age 16 years was associated with an increased risk (adjusted HR, 1.11; 95% CI, 1.05-1.19), with evidence of a nonlinear threshold effect for moves longer than 30 km. The distance moved after age 20 years was associated with a decreased risk (adjusted HR, 0.67; 95% CI, 0.63-0.71).
Conclusions and Relevance
Children and adolescents with less disruption in their residential environments are less likely to experience psychotic disorders in early adulthood. Moves that may necessitate changes in school and social networks were most strongly associated with future risk.
This cohort study examines the association of residential mobility during childhood, adolescence, and adulthood with risk of developing nonaffective psychosis in young people in Sweden.
Introduction
International migration is an established risk factor for psychosis,1 and the risk appears greatest for those migrating at earlier ages.2,3 Some studies have suggested that internal migration (known as residential mobility) may also increase psychosis risk.4,5 Evidence from Denmark has suggested that long-distance childhood residential mobility increases the subsequent risk of schizophrenia and other nonaffective psychoses,4,5,6 with some evidence of a stronger effect of residential instability during adolescence than in childhood.4 However, to our knowledge, none of the studies have examined the effect of residential mobility beyond midadolescence, which may be particularly important given that some have suggested that higher rates of psychotic disorders in more deprived, socially fragmented urban environments7,8,9 are a consequence of social drift during the prodromal phases of disorder, as people may move into cheaper, more socially isolated environments.10 Moreover, to date, the geographical distances people move have been crudely treated as moves between large administrative areas, potentially obscuring the nuanced effects of moving over smaller or larger geographical distances.
In this study, we used data from individuals within a large population-based cohort, whose residential moves over their entire early life course (up to age 29 years) could be identified to small area neighborhood resolution, to examine the risk of developing nonaffective psychotic disorders associated with residential mobility during childhood, adolescence, and early adulthood. We focused on nonaffective psychoses, given stronger evidence that these psychiatric disorders are more strongly associated with urbanicity and migration than other disorders, such as bipolar disorder or unipolar depression.11,12 Given previous evidence, we hypothesized that having more frequent residential moves in childhood, adolescence, and early adulthood would be associated with an increased psychosis risk and that this would be highest for individuals who moved during adolescence, which is a key period for social development.4,13 We also hypothesized that the risk would increase with greater geographical distances moved in childhood and adolescence but in a nonlinear fashion, representing a “threshold” effect at which most moves were likely to result in a breakup of social networks (eg, due to an enforced change of school).
Methods
Sample
We identified all individuals born in Sweden between January 1, 1982, and December 31, 1995, who resided in Sweden on their 16th birthday from the Total Population Register. This study received ethical approval through Psychiatry Sweden from the Stockholm Regional Ethical Review Board and consent was waived. Persons were followed up from their 16th birthday until receiving a first diagnosis of an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) nonaffective psychotic disorder, censorship due to emigration, death, or December 31, 2011, whichever was sooner. We excluded first-generation immigrants because information on their residential mobility before moving to Sweden was unavailable. From our initial cohort (N = 1 472 446), our final analytical sample included 1 440 383 participants with complete residential mobility data ( eMethods in the Supplement).
Outcome Measure
Our main outcome measure was a clinical diagnosis of nonaffective psychotic disorder (ICD-10: F20-29), including schizophrenia (F20) and other nonaffective psychoses (F21-29) as recorded in the Swedish National Patient Register. For this study, the coverage for all inpatient admissions was complete over the follow-up period and for outpatient admissions from 2001.14,15
Exposure Variables
We investigated whether the number of moves over discrete periods of the life course and the cumulative distances moved were associated with subsequent psychosis risk. Age periods (0-6 years, 7-15 years, 16-19 years, and 20-29 years) were determined a priori to coincide with the transition through the Swedish public education system. We estimated the number of moves from the Total Population Register, which records the residential location of all people each year to one of 9200 “Small Area for Market Statistics” (SAMS) areas (median population size in 2011, 726 [interquartile range, 312-1378]). Small Area for Market Statistics are designed to be internally socioeconomically homogenous but differ according to the characteristics of the social environment, including deprivation and population density.16 For each participant and age period, we calculated the total number of times a change in SAMS residence occurred from year to year as: no moves (reference), 1 move, 2 moves, 3 moves, or 4 or more moves (eMethods in the Supplement). For each age period, we also estimated the cumulative distance moved by each participant (in kilometers) (eMethods in the Supplement).
Covariates
We included confounder data on continuous age; sex; parental migration status (both parents Swedish-born vs at least 1 parent being foreign-born); biological parental history of severe mental illness (SMI), including nonaffective psychosis and bipolar disorders or mania with or without psychotic symptoms; the biological mother’s age at participant birth (as a proxy for paternal age); parental (biological or adoptive) death in any age period before the participant’s 16th birthday; SAMS population density at birth (eFigure 1 in the Supplement); participant compulsory school educational attainment; family disposable income at cohort entry; and university attendance (yes or no) (eMethods in the Supplement).
Statistical Methods
We fitted discrete time proportional hazards models using complementary log-log models on the attained age scale (eMethods in the Supplement). Modeling proceeded as follows: (1) we modeled the crude association of the number of residential moves and cumulative distance moved in each age period with psychosis risk, (2) we added all the covariates to these models (adjustment 1) except for educational attainment at age 15 to 16 years (see Results), (3) we adjusted the models for residential move data in previous age periods (adjustment 2), and (4) because educational attainment at age 15 to 16 years may have been on the causal pathway between earlier moves and future psychosis risk, we restricted the adjustment for this variable to models of residential moves made after age 16 years (adjustment 3). When modeling residential moves after age 20 years, we excluded participants who had not reached this age by the end of the follow-up period or who were otherwise censored between age 16 to 19 years(n = 441 416; 30.1%). We included university attendance as a potential confounder (adjustment 4) and effect modifier of the association between residential moves and nonaffective psychosis risk in adulthood. To examine possible threshold effects in the geographical distances of residential moves, we inspected nonlinear distance functions using an inverse power (square root) transformation and compared this with a model that was fitted with a linear distance function via an inspection of Akaike Information Criterion scores in which lower scores indicated a better fit. We predicted and graphed marginal hazards over the cumulative distance moved in each age period. In a subgroup analysis, we investigated whether any associations of the geographical distances of residential moves with nonaffective psychosis risk were upheld among those who moved only once in each age period compared with those who never moved, with moving distance categorized as never moved, less than 5 km, 5 to 30 km, 30 to 100 km, 100 to 500 km, and 500 or more km. We reported hazard ratios (HRs) and 95% confidence intervals. Statistical significance was set at P < .05.
Results
Sample Characteristics
Of 1 440 383 included participants (97.8% of cohort; eTable 1 and eResults in the Supplement), 4537 (0.31%; 95% CI, 0.30-0.33) received an ICD-10 diagnosis of nonaffective psychotic disorder in Sweden during the follow-up period. The median age when receiving the first diagnosis was 20.9 years (interquartile range, 19.0-23.3). Participants with nonaffective psychosis were more likely to be men, come from a lower-income quintile, and have a foreign background, parental history of SMI, death of a parent before age 16 years, and lower educational attainment and less likelihood of attending university than the remainder of the cohort (Table 1). The distribution of the number of residential moves (Figure 1) and the cumulative distance moved differed for participants with nonaffective psychosis compared with the remainder of the cohort (Table 1). Thus, before age 20 years, case participants were more likely to have moved at least once and have had a longer cumulative distance moved (all P < .001); this pattern was reversed after age 20 years. The correlations within and between the number of moves and the cumulative distance moved were moderate (eTable 2 and eResults in the Supplement).
Table 1. Cohort Characteristics by Outcome Status.
Variable | Outcome Status (Nonaffective Psychotic Disorder) | χ2 | df | P Value | |
---|---|---|---|---|---|
Yes | No | ||||
Participants (%)a | 4537 (0.31) | 1 435 846 (99.69) | NA | NA | NA |
Median age (IQR) | 20.9 (19.0-23.3) | 22.4 (19.4-25.8) | 21.6 | NA | <.001b |
Men (%) | 2746 (60.5) | 737 105 (51.3) | 152.9 | 1 | <.001 |
Foreign background (%) | 851 (18.8) | 181 462 (12.6) | 153.2 | 1 | <.001 |
Death of a parent before age 16 y (%) | 173 (3.8) | 32 279 (2.3) | 50.3 | 1 | <.001 |
Parental history of SMI (%) | 467 (10.3) | 42 695 (3.0) | 833.6 | 1 | <.001 |
Median maternal age at birth (IQR) | 28.2 (24.4-32.3) | 28.3 (24.9-32.0) | 1.5 | .12b | |
Income quintile (%) | |||||
Highest | 67 (1.5) | 307 727 (2.1) | 244.4 | 4 | <.001 |
2 | 128 (2.8) | 55 056 (3.8) | |||
3 | 305 (6.7) | 139 489 (9.7) | |||
4 | 783 (17.3) | 343 889 (24.0) | |||
Lowest | 3254 (71.7) | 866 685 (60.4) | |||
Population density at birth (pp km2) | 1255.9 (158.7-3889.6) | 739.3 (48.7-2850.6) | −13.3 | NA | <.001b |
Educational attainment at age 16 (%) | |||||
Fail | 650 (14.3) | 64 934 (4.5) | 2566.1 | 4 | <.001 |
D or E grades | 2622 (57.8) | 863 511 (60.1) | |||
C grade | 484 (10.7) | 285 199 (19.9) | |||
A or B grades | 198 (4.4) | 173 691 (12.1) | |||
Missing | 583 (12.9) | 48 511 (3.4) | |||
University attendancec | |||||
No | 2312 (82.7) | 621 033 (62.3) | 499.3 | 1 | <.001 |
Yes | 483 (17.3) | 375 139 (37.7) | |||
Moved ≥1 times (%), yd | |||||
0-6 | 2467 (54.4) | 646 645 (45.0) | 159.3 | 1 | <.001 |
7-15 | 2148 (47.3) | 504 245 (35.1) | 295.8 | 1 | <.001 |
16-19 | 1762 (38.8) | 382 908 (26.7) | 342.1 | 1 | <.001 |
20-29c | 1726 (61.8) | 690 316 (69.3) | 74.5 | 1 | <.001 |
Median cumulative distance moved (km) (10-90th percentile), ye | |||||
0-6 | 1.2 (0-133.5) | 0 (0-45.5) | −14.4 | NA | <.001b |
7-15 | 0 (0-86.3) | 0 (0-27.4) | −19.0 | NA | <.001b |
16-19 | 0 (0-64.7) | 0 (0-23.3) | −18.7 | NA | <.001b |
20-29c | 0 (0-332.6) | 0 (0-416.8) | 9.9 | NA | <.001b |
Abbreviations: df, degrees of freedom; IQR, interquartile range; NA, not applicable; SMI, severe mental illness.
Row percentage.
Mann-Whitney U test for nonnormally distributed data.
Among those who did not exit the cohort before age 20 years (n = 998 967 [69.4%]).
For descriptive purposes, the number and proportion of people who moved 1 or more times in each period are displayed. A categorical variable (0,1,2,3, ≥4) was used for modeling purposes.
The 10th-90th percentile is reported in favor of the interquartile range, given substantial skew in the distribution of the exposures.
Association Between Residential Mobility and Nonaffective Psychosis
We observed dose-response associations between greater moves at age 0 to 6 years, 7 to 15 years, and 16 to 19 years and the risk of nonaffective psychotic disorder in unadjusted survival models (Table 2) that persisted after adjusting for covariates (adjustment 1), including moves at previous ages (adjustment 2). Thus, compared with never moving, 1, 2, 3, or 4 or more moves between birth and age 6 years were associated with HRs of 1.13, 1.47, 1.46, and 1.83, respectively (adjustment 1; all P < .001) (Table 2). We observed similar associations for moves between age 7 to 15 years and stronger associations at age 16 to 19 years (adjustment 2; Table 2), with those moving in each year of this period having a 2.88-fold (95% CI, 1.89-4.40) increased risk compared with those who never moved. Further adjustment for educational attainment at age 15 to 16 years attenuated risks between age 16 to 19 years (adjustment 3, Table 2), but strong dose-response patterns remained (ie, moving 4 times; HR, 1.99; 95% CI, 1.30-3.05).
Table 2. Hazard Ratios (HR) for Nonaffective Psychosis by Number and Distance of Moves in Each Age Period.
Exposures | Cases, No. (%) | HR (95% CI) | ||||
---|---|---|---|---|---|---|
Crude | Adjustment 1a | Adjustment 2b | Adjustment 3c | Adjustment 4d | ||
Age 0-6, ye | ||||||
1 move | 1416 (31.2) | 1.29 (1.21-1.38) | 1.13 (1.04-1.21) | NA | NA | NA |
2 moves | 696 (15.3) | 1.81 (1.66-1.97) | 1.47 (1.32-1.62) | NA | NA | NA |
3 moves | 241 (5.4) | 1.92 (1.68-2.20) | 1.46 (1.25-1.70) | NA | NA | NA |
≥4 moves | 114 (2.5) | 2.51 (2.08-3.03) | 1.83 (1.48-2.26) | NA | NA | NA |
Distance (square root)f | NA | 1.37 (1.31-1.43) | 1.13 (1.06-1.19) | NA | NA | NA |
Age 7-15, ye | ||||||
1 move | 1062 (23.4) | 1.44 (1.34-1.55) | 1.24 (1.15-1.34) | 1.22 (1.13-1.32) | NA | NA |
2 moves | 580 (12.8) | 1.94 (1.77-2.13) | 1.58 (1.43-1.75) | 1.51 (1.36-1.68) | NA | NA |
3 moves | 288 (6.4) | 2.41 (2.13-2.72) | 1.86 (1.62-2.13) | 1.74 (1.52-2.01) | NA | NA |
≥4 moves | 218 (4.8) | 2.99 (2.60-3.44) | 2.14 (1.82-2.53) | 1.95 (1.65-2.31) | NA | NA |
Distance (square root)f | NA | 1.52 (1.46-1.59) | 1.16 (1.09-1.23) | 1.11 (1.05-1.19) | NA | NA |
Age 16-19, ye | ||||||
1 move | 1125 (24.8) | 1.45 (1.35-1.55) | 1.47 (1.36-1.59) | 1.35 (1.25-1.47) | 1.28 (1.18-1.39) | NA |
2 moves | 497 (11.0) | 2.47 (2.25-2.72) | 2.45 (2.20-2.74) | 2.08 (1.85-2.33) | 1.79 (1.60-2.01) | NA |
3 moves | 117 (2.6) | 2.61 (2.17-3.14) | 2.55 (2.09-3.11) | 2.00 (1.63-2.45) | 1.57 (1.28-1.92) | NA |
≥4 moves | 23 (0.5) | 3.96 (2.62-5.97) | 3.87 (2.54-5.90) | 2.88 (1.89-4.40) | 1.99 (1.30-3.05) | NA |
Distance (square root)f | NA | 1.32 (1.26-1.40) | 0.98 (0.92-1.06) | 0.95 (0.88-1.02) | 0.99 (0.98-1.03) | NA |
Age ≥20, ye,g | ||||||
1 move | 787 (28.2) | 0.82 (0.74-0.89) | 1.11 (1.01-1.22) | 1.04 (0.94-1.14) | 1.05 (0.96-1.16) | 1.04 (0.94-1.14) |
2 moves | 491 (17.6) | 0.69 (0.62-0.78) | 1.18 (1.04-1.33) | 1.05 (0.93-1.19) | 1.07 (0.95-1.21) | 1.05 (0.93-1.18) |
3 moves | 254 (9.1) | 0.70 (0.61-0.81) | 1.46 (1.25-1.71) | 1.25 (1.07-1.47) | 1.27 (1.08-1.49) | 1.23 (1.05-1.44) |
≥4 moves | 194 (6.9) | 0.88 (0.75-1.05) | 2.35 (1.95-2.84) | 1.91 (1.58-2.31) | 1.91 (1.58-2.30) | 1.82 (1.51-2.20) |
Distance (square root)f | NA | 0.60 (0.57-0.63) | 0.58 (0.54-0.61) | 0.56 (0.53-0.60) | 0.60 (0.56-0.63) | 0.67 (0.63-0.71) |
Abbreviation: NA, not applicable.
Adjustment 1: age, quadratic age, sex, foreign background, parental history of severe mental illness, parental death before age 16 years, disposable income quintile, mother’s age at participant birth, population density at birth (log transformed people per square kilometer), and distance moved in age period.
Adjustment 2: adjustment 1 + number of and distance moved at previous ages.
Adjustment 3: adjustment 2 + educational attainment at age 15 to 16 years.
Adjustment 4: adjustment 3 + university attendance.
Reference group for number of moves: 0 moves.
A nonlinear distance function (square root transformation) was provided to better fit to the data than a linear term; assessed via Akaike Information Criterion (Figure 2; eTable 3 in the Supplement).
After age 20 years, model was restricted to cohort not censored before this point (n = 998 967).
There was weaker evidence that moving after age 20 years was associated with psychosis risk, with little variation in risk for those who moved fewer than 3 times in early adulthood, including after adjustment for educational attainment and university attendance (adjustment 4, Table 2). Nonetheless, those who moved more frequently (4 or more times) remained at a substantially elevated risk (HR, 1.82; 95% CI, 1.51-2.20). We found moderate evidence that this relative association was stronger in those who attended university (HR, 2.56; 95% CI, 1.55-3.54) than those who did not (HR, 1.65; 95% CI, 1.34-2.02; likelihood ratio test P = .02; eTable 3 in the Supplement), although marginal (ie, absolute) changes in the predicted probabilities of nonaffective psychosis for each additional move were similar in both groups (eFigure 2 in the Supplement).
The cumulative distances moved at all ages were better modeled as nonlinear functions with respect to psychosis risk (eTable 4 in the Supplement). Independent of the number of moves, greater moving distances before age 16 years increased risk (Table 2), most sharply over shorter (ie, less than 30 km) distances moved (Figure 2A and B). Between age 16 to 19 years, we observed no evidence of any statistically significant association with distance. After age 20 years, greater cumulative distances moved were associated with decreased psychosis risk, with similar evidence of threshold effects at shorter distances (Figure 2D). These patterns were replicated in subgroup analyses that were restricted to participants who moved only once during each period compared with those who never moved (Table 3).
Table 3. Risk of Developing Nonaffective Psychosis by Distance Moved Among Those Who Moved Once vs Never Having Moved in Each Age Period.
Distance Moved | Adjusted HRa (95% CI) |
---|---|
Age 0-6, y | |
No moves | 1 [Reference] |
<5 km | 1.11 (1.01-1.22) |
5-29 km | 1.14 (1.03-1.26) |
30-99 km | 1.47 (1.25-1.74) |
100-499 km | 1.37 (1.04-1.50) |
>500 km | 1.58 (1.08-2.34) |
Age 7-15, y | |
No moves | 1 [Reference] |
<5 km | 1.16 (1.05-1.28) |
5-29 km | 1.27 (1.14-1.42) |
30-99 km | 1.61 (1.32-1.95) |
100-499 km | 1.37 (1.10-1.70) |
>500 km | 1.58 (0.99-2.53) |
Age, 16-19, y | |
No moves | 1 [Reference] |
<5 km | 1.10 (0.99-1.23) |
5-29 km | 1.10 (0.99-1.22) |
30-99 km | 1.09 (0.92-1.30) |
100-499 km | 1.03 (0.87-1.22) |
>500 km | 0.82 (0.53-1.27) |
Age, ≥20, y | |
No moves | 1 [Reference] |
<5 km | 0.41 (0.36-0.46) |
5-29 km | 0.24 (0.21-0.27) |
30-99 km | 0.20 (0.16-0.24) |
100-499 km | 0.16 (0.13-0.19) |
>500 km | 0.08 (0.05-0.12) |
Abbreviation: HR, hazard ratio.
Adjusted for age, quadratic age, sex, foreign background, family history of severe mental illness, parental death before age 16 years, disposable income quintile, mother’s age at participant birth, population density at birth (log transformed people per square kilometer,) and distance and number of moves (categorical) in previous age periods (except age 0-6 years).
In a sensitivity analysis (eTable 5 in the Supplement), we presented results from a fully mutually adjusted model of the number and distances of moves at each period of the life course to facilitate comparability with earlier studies.4 In this model, the association between the number of moves and psychosis risk was most substantially attenuated at ages 0 to 6 years and 7 to 15 years; the number of moves between age 16 to 19 years continued to exhibit a dose-response association with later psychosis risk.
Discussion
In this study we show that greater residential mobility during childhood and adolescence is associated with a dose-response increase in risk of developing nonaffective psychosis. These patterns were impervious to adjustment for psychiatric family history and sociodemographic indicators, including family disposable income, and could not be explained by moves at previous ages nor, when relevant, educational attainment at age 15 to 16 years or university attendance. The larger effect sizes for moves between age 16 to 19 years is consistent with the thesis that residential mobility is associated with nonaffective psychosis through a mechanism that is at its most sensitive during adolescence, in line with earlier observations.4 We also found that longer geographical distances of residential moves during childhood and early adolescence were associated with increased risk, independently of the number of moves, particularly for moves more than approximately 30 km, which was consistent with the distances at which the disruption of school-based or other social networks were more likely.
The association between residential mobility and nonaffective psychosis was different in young adults. While there was some evidence that moving frequently (3 or more times) between age 20 to 29 years was associated with increased risk, no differences emerged for individuals who moved fewer times in early adulthood. Moreover, moving longer distances in adulthood was strongly associated with a reduced risk of nonaffective psychosis. Taken together, these results suggest that residential stability in early life and some geographical mobility in adulthood do not increase and may confer protection against psychosis risk.
Potential Mechanisms
The most supported explanation as to how residential mobility could have an association with nonaffective psychosis is that a change of residence disrupts an individual’s ability to form and maintain friendships or fit within a peer group. Social isolation is likely to increase one’s vulnerability to the effects of life stressors. For example, exposure to stressful life events could have a greater impact on negative schemata, low self-esteem, and cognitive biases that are associated with psychosis17,18,19 without the buffering effect of stable friendships.
Some studies suggest that part of the association of residential mobility with psychosis is mediated via having to change schools, and that loss of peer relationships and increased social isolation may be involved in the pathway to risk.20,21 Residential mobility may disrupt social relationships and be associated with subsequent psychosis risk if it necessitates a change in schools, and if it occurs at a time when relationships with peers become as or more important than family-based ones. Our finding that the greatest risk was observed for residential moves during late adolescence, independent of academic ability at age 15 to 16 years, is consistent with this thesis, as is our finding that longer moves predicted greater psychosis risk. Nonetheless, not all studies have observed associations between school mobility and psychosis risk,22 suggesting that beyond the school context, other peer group relationships, including family, kinship, and wider neighborhood ties, may also be relevant.
We have previously shown that the characteristics that mark someone out as different from most of their peers, whether at a school level or neighborhood level, are associated with an increased risk of psychosis,7,14 findings that are often conceptualized within the concept of social defeat. It has been hypothesized that social defeat contributes causally to psychosis risk via the sensitization of the mesolimbic dopamine system,19 the disruption of which is a widely supported biological theory of schizophrenia.23 Support for this theory is evident from animal model studies,24,25 and such a mechanism might explain how greater residential mobility, especially during adolescence, increases psychosis risk if it is subsequently accompanied by changes in the propensity to experience social adversities, such as social isolation and/or exposure to stressful life events.26 It is also possible that the association between residential mobility and psychosis is, at least in part, mediated by factors other than disrupted social relationships (eg, an earlier initiation of drug use27,28,29 or reduced engagement with health, social, and education services30,31,32).
Our findings with respect to early adulthood somewhat contrast those for mobility at earlier ages. Moving once or twice during this period did not alter risk, and those who moved longer distances were substantially less likely to subsequently develop psychotic disorder; cumulative distances moved accounted for the change in the direction of the unadjusted, protective association between the number of moves and nonaffective psychosis risk to a risk factor in adjusted models (data available from the authors). These findings were not substantially confounded by university attendance. Changing residence after age 20 years, the age at which students in Sweden complete their university entrance examinations, is likely to reflect the onset of independence for an individual, be it through university attendance or entry into the labor market, and may explain why there were weaker associations with the number of moves and a strong negative association between moving distance and psychosis risk during this period. Although less consistently than for greater cognitive ability,33,34 higher levels of education has been associated with reduced risk of nonaffective psychosis,35,36 Nonetheless, frequent moves (particularly 4 or more) in early adulthood remained associated with increased psychosis risk irrespective of university attendance, and we hypothesize that this reflects the more chaotic lifestyle of individuals who are at higher risk of developing psychosis (eg, as a result of substance misuse or the presence of financial, social, or other mental health difficulties).
Strengths and Limitations
This study has several strengths, including the longitudinal design and large sample size that is highly representative of the entire (Swedish-born) population. The prospective measurement of our exposure and the use of register data eliminate the possibility of recall bias. Our outcome measure is known to have good concurrent validity for diagnoses of schizophrenia in this register,37,38 and psychiatric care in Sweden is both accessible and free. Using geographical information systems data to estimate the number and distance of small area moves over the life course is a further strength of this study, although we acknowledge that the distances were based on “as the crow flies” estimates. We controlled for several confounders that may have precipitated residential mobility, including parental death, a parental history of SMI, urban birth, income, younger maternal age at birth, and, with respect to moves made after age 16 years, educational attainment. We acknowledge that we did not have data on other potential confounders, including other adverse childhood experiences such as family discord or parental separation. Nor did we have data on measures such as quality of friendships and peer problems, such as bullying, to test potential mediating pathways. We also lacked direct data on school changes as an index of disruption to peer relationships. Selection bias might be present from the small amount of incomplete geographical data in this study (eTable 1 in the Supplement), although this might be expected to have underestimated our associations, given that reasons for missingness include homelessness and being in prison, which are further markers of residential mobility and are associated with nonaffective psychosis. While reverse causation is unlikely to explain our findings, it remains feasible that subthreshold or prodromal symptoms during childhood or early adolescence led some families to change residence in the hope that a different school, neighborhood, or proximity to specialist health care clinicians might improve their child’s well-being. Finally, in other studies, residential mobility has been associated with bipolar disorder and substance use disorders, suggesting that residential mobility may be a nonspecific risk factor for several psychiatric disorders.4,5
Conclusions
Accumulating evidence supports childhood and adolescent residential mobility as an independent risk factor for psychosis and other mental health outcomes. Efforts are now required to examine the reasons for this, which may include precipitating factors such as family discord, as well as the effect such moves are likely to have on peer group formation and social support during critical periods of development; these findings will also have implications for informing the development of child health services and social policy. It is important that health, social, and educational practitioners ensure that children and adolescents who are newly resident to their neighborhoods receive adequate support to minimize the risks of adverse outcomes during adulthood, and every effort should be made to ensure the effective transfer of care for highly mobile children who are already in contact with health and social services.
References
- 1.Cantor-Graae E, Selten J-PP. Schizophrenia and migration: a meta-analysis and review. Am J Psychiatry. 2005;162(1):12-24. doi: 10.1176/appi.ajp.162.1.12 [DOI] [PubMed] [Google Scholar]
- 2.Veling W, Hoek HW, Selten JP, Susser E. Age at migration and future risk of psychotic disorders among immigrants in the Netherlands: a 7-year incidence study. Am J Psychiatry. 2011;168(12):1278-1285. doi: 10.1176/appi.ajp.2011.11010110 [DOI] [PubMed] [Google Scholar]
- 3.Kirkbride JB, Hameed Y, Ioannidis K, et al. . Ethnic minority status, age-at-immigration and psychosis risk in rural environments: evidence from the SEPEA Study. Schizophr Bull. 2017;43(6):1251-1261. doi: 10.1093/schbul/sbx010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Paksarian D, Eaton WW, Mortensen PB, Pedersen CB. Childhood residential mobility, schizophrenia, and bipolar disorder: a population-based study in Denmark. Schizophr Bull. 2015;41(2):346-354. doi: 10.1093/schbul/sbu074 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Mok PLH, Webb RT, Appleby L, Pedersen CB. Full spectrum of mental disorders linked with childhood residential mobility. J Psychiatr Res. 2016;78:57-64. doi: 10.1016/j.jpsychires.2016.03.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Pedersen CB, Mortensen PB. Evidence of a dose-response relationship between urbanicity during upbringing and schizophrenia risk. Arch Gen Psychiatry. 2001;58(11):1039-1046. doi: 10.1001/archpsyc.58.11.1039 [DOI] [PubMed] [Google Scholar]
- 7.Kirkbride JB, Jones PB, Ullrich S, Coid JW. Social deprivation, inequality, and the neighborhood-level incidence of psychotic syndromes in East London. Schizophr Bull. 2014;40(1):169-180. doi: 10.1093/schbul/sbs151 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Richardson L, Hameed Y, Perez J, Jones PB, Kirkbride JB. Association of environment with the risk of developing psychotic disorders in rural populations: findings from the social epidemiology of psychoses in east anglia study. JAMA Psychiatry. 2018;75(1):75-83. doi: 10.1001/jamapsychiatry.2017.3582 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Allardyce J, Gilmour H, Atkinson J, Rapson T, Bishop J, McCreadie RG. Social fragmentation, deprivation and urbanicity: relation to first-admission rates for psychoses. Br J Psychiatry. 2005;187(NOV):401-406. doi: 10.1192/bjp.187.5.401 [DOI] [PubMed] [Google Scholar]
- 10.Freeman H. Schizophrenia and city residence. Br J Psychiatry Suppl. 1994;164(23):39-50. [PubMed] [Google Scholar]
- 11.March D, Hatch SL, Morgan C, et al. . Psychosis and place. Epidemiol Rev. 2008;30(1):84-100. doi: 10.1093/epirev/mxn006 [DOI] [PubMed] [Google Scholar]
- 12.Solmi F, Dykxhoorn J, Kirkbride JB. Urban-Rural Differences in Major Mental Health Conditions In: Okkels N, Kristiansen CB, Munk-Jørgensen P, eds. Mental Health and Illness in the City. Vol 6 London, England: Springer-Nature; 2016:1-106. doi: 10.1007/978-981-10-0752-1_7-1 [DOI] [Google Scholar]
- 13.Mortensen PB, Pedersen CB, Westergaard T, et al. . Effects of family history and place and season of birth on the risk of schizophrenia. N Engl J Med. 1999;340(8):603-608. doi: 10.1056/NEJM199902253400803 [DOI] [PubMed] [Google Scholar]
- 14.Zammit S, Lewis G, Rasbash J, Dalman C, Gustafsson J-E, Allebeck P. Individuals, schools, and neighborhood: a multilevel longitudinal study of variation in incidence of psychotic disorders. Arch Gen Psychiatry. 2010;67(9):914-922. doi: 10.1001/archgenpsychiatry.2010.101 [DOI] [PubMed] [Google Scholar]
- 15.Hollander A-C, Dal H, Lewis G, Magnusson C, Kirkbride JB, Dalman C. Refugee migration and risk of schizophrenia and other non-affective psychoses: cohort study of 1.3 million people in Sweden. BMJ. 2016;352:i1030. doi: 10.1136/bmj.i1030 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Sariaslan A, Larsson H, D’Onofrio B, Långström N, Fazel S, Lichtenstein P. Does population density and neighborhood deprivation predict schizophrenia? A nationwide Swedish family-based study of 2.4 million individuals. Schizophr Bull. 2015;41(2):494-502. doi: 10.1093/schbul/sbu105 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Thompson A, Sullivan S, Lewis G, et al. . Association between locus of control in childhood and psychotic symptoms in early adolescence: results from a large birth cohort. Cogn Neuropsychiatry. 2011;16(5):385-402. doi: 10.1080/13546805.2010.546077 [DOI] [PubMed] [Google Scholar]
- 18.Thewissen V, Bentall RP, Oorschot M, et al. . Emotions, self-esteem, and paranoid episodes: an experience sampling study. Br J Clin Psychol. 2011;50(2):178-195. doi: 10.1348/014466510X508677 [DOI] [PubMed] [Google Scholar]
- 19.Selten J-P, van der Ven E, Rutten BPF, Cantor-Graae E. The social defeat hypothesis of schizophrenia: an update. Schizophr Bull. 2013;39(6):1180-1186. doi: 10.1093/schbul/sbt134 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Singh SP, Winsper C, Wolke D, Bryson A. School mobility and prospective pathways to psychotic-like symptoms in early adolescence: a prospective birth cohort study. J Am Acad Child Adolesc Psychiatry. 2014;53(5):518-27.e1. doi: 10.1016/j.jaac.2014.01.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Winsper C, Wolke D, Bryson A, Thompson A, Singh SP. School mobility during childhood predicts psychotic symptoms in late adolescence. J Child Psychol Psychiatry. 2016;57(8):957-966. doi: 10.1111/jcpp.12572 [DOI] [PubMed] [Google Scholar]
- 22.DeVylder JE, Oh HY, Pitts S, Schiffman J. Young for one’s grade: a risk factor for psychotic experiences among adults in the National Comorbidity Survey-Replication. Psychiatry Res. 2015;226(1):352-356. doi: 10.1016/j.psychres.2015.01.017 [DOI] [PubMed] [Google Scholar]
- 23.Howes OD, Kapur S. The dopamine hypothesis of schizophrenia: version III—the final common pathway. Schizophr Bull. 2009;35(3):549-562. doi: 10.1093/schbul/sbp006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.McCormick CM, Robarts D, Kopeikina K, Kelsey JE. Long-lasting, sex- and age-specific effects of social stressors on corticosterone responses to restraint and on locomotor responses to psychostimulants in rats. Horm Behav. 2005;48(1):64-74. doi: 10.1016/j.yhbeh.2005.01.008 [DOI] [PubMed] [Google Scholar]
- 25.Mathews IZ, Waters P, McCormick CM. Changes in hyporesponsiveness to acute amphetamine and age differences in tyrosine hydroxylase immunoreactivity in the brain over adolescence in male and female rats. Dev Psychobiol. 2009;51(5):417-428. doi: 10.1002/dev.20381 [DOI] [PubMed] [Google Scholar]
- 26.Newbury J, Arseneault L, Caspi A, Moffitt TE, Odgers CL, Fisher HL. Cumulative effects of neighborhood social adversity and personal crime victimization on adolescent psychotic experiences. Schizophr Bull. 2018;44(22):348-358. doi: 10.1093/schbul/sbx060 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.DeWit DJ. Frequent childhood geographic relocation: its impact on drug use initiation and the development of alcohol and other drug-related problems among adolescents and young adults. Addict Behav. 1998;23(5):623-634. doi: 10.1016/S0306-4603(98)00023-9 [DOI] [PubMed] [Google Scholar]
- 28.Lee D. Residential mobility and gateway drug use among Hispanic adolescents in the U.S.: evidence from a national survey. Am J Drug Alcohol Abuse. 2007;33(6):799-806. doi: 10.1080/00952990701653727 [DOI] [PubMed] [Google Scholar]
- 29.Stabler ME, Gurka KK, Lander LR. Association between childhood residential mobility and non-medical use of prescription drugs among American youth. Matern Child Health J. 2015;19(12):2646-2653. doi: 10.1007/s10995-015-1785-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Jelleyman T, Spencer N. Residential mobility in childhood and health outcomes: a systematic review. J Epidemiol Community Health. 2008;62(7):584-592. doi: 10.1136/jech.2007.060103 [DOI] [PubMed] [Google Scholar]
- 31.Haelermans C, De Witte K. Does residential mobility improve educational outcomes? Evidence from the Netherlands. Soc Sci Res. 2015;52:351-369. doi: 10.1016/j.ssresearch.2015.02.008 [DOI] [PubMed] [Google Scholar]
- 32.Chen J. Housing tenure, residential mobility and adolescents’ education achievement: evidence from Sweden. Ann Reg Sci. 2013;50(1):275-294. doi: 10.1007/s00168-011-0478-9 [DOI] [Google Scholar]
- 33.Khandaker GM, Barnett JH, White IR, Jones PB. A quantitative meta-analysis of population-based studies of premorbid intelligence and schizophrenia. Schizophr Res. 2011;132(2-3):220-227. doi: 10.1016/j.schres.2011.06.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Zammit S, Allebeck P, David AS, et al. . A longitudinal study of premorbid IQ Score and risk of developing schizophrenia, bipolar disorder, severe depression, and other nonaffective psychoses. Arch Gen Psychiatry. 2004;61(4):354-360. doi: 10.1001/archpsyc.61.4.354 [DOI] [PubMed] [Google Scholar]
- 35.MacCabe JH, Lambe MP, Cnattingius S, et al. . Scholastic achievement at age 16 and risk of schizophrenia and other psychoses: a national cohort study. Psychol Med. 2008;38(8):1133-1140. doi: 10.1017/S0033291707002048 [DOI] [PubMed] [Google Scholar]
- 36.Dickson H, Laurens KR, Cullen AE, Hodgins S. Meta-analyses of cognitive and motor function in youth aged 16 years and younger who subsequently develop schizophrenia. Psychol Med. 2012;42(4):743-755. doi: 10.1017/S0033291711001693 [DOI] [PubMed] [Google Scholar]
- 37.Ekholm B, Ekholm A, Adolfsson R, et al. . Evaluation of diagnostic procedures in Swedish patients with schizophrenia and related psychoses. Nord J Psychiatry. 2005;59(6):457-464. doi: 10.1080/08039480500360906 [DOI] [PubMed] [Google Scholar]
- 38.Dalman Ch, Broms J, Cullberg J, Allebeck P. Young cases of schizophrenia identified in a national inpatient register—are the diagnoses valid? Soc Psychiatry Psychiatr Epidemiol. 2002;37(11):527-531. doi: 10.1007/s00127-002-0582-3 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.