Meta-Analysis
Copyright ©The Author(s) 2017.
World J Psychiatr. Mar 22, 2017; 7(1): 60-76
Published online Mar 22, 2017. doi: 10.5498/wjp.v7.i1.60
Table 1 Associations between bullying victimization in children and adolescents and mental health outcomes
Data pointsPooled OR95%CI lower bound95%CI upper boundCochran’s QI² (%)Test for heterogeneity (P value)
Poor mental health
Pooling all391.61.421.81303.7987.49< 0.01
Study type
Retrospective/cross-sectional251.81.442.25211.7888.67< 0.01
Prospective cohort141.391.291.4922.1241.240.05
Sex
Male32.491.863.320.4400.8
Female32.381.4146.9571.220.03
Twins31.411.271.562.520.090.29
Severity of bullying
Sometimes81.51.271.7647.6885.23< 0.01
Frequent81.521.181.9551.486.38< 0.01
Anxiety
Pooling all581.771.342.333816.2398.51< 0.01
Anxiety321.561.391.75434.6192.87< 0.01
Social phobia82.481.593.8611.0136.410.14
Generalised anxiety disorder22.831.385.840.1100.74
PTSD126.411.9321.22497.1197.79< 0.01
Specific phobia12.415.6---
Separation anxiety disorder14.6210.6---
Panic disorder13.11.56.5---
Agoraphobia14.61.712.5---
Study type
Retrospective/cross-sectional392.021.213.383697.4898.97< 0.01
Prospective cohort191.291.061.5584.0378.58< 0.01
Age of bullying
Less than 13 yr131.40.583.41123.1290.25< 0.01
Older than 13 yr451.811.292.563688.8298.81< 0.01
Sex
Male161.841.32.59112.2386.63< 0.01
Female152.461.743.48124.3988.74< 0.01
Severity of bullying
Sometimes71.461.06243.4186.18< 0.01
Frequent252.471.943.14122.4780.4< 0.01
Geographic location and income level
Low-to-middle income222.411.753.32175.9788.07< 0.01
High income361.671.242.253441.1798.98< 0.01
Depression
Pooling all922.211.343.6514525.3299.37< 0.01
Major depressive disorder22.270.687.572.0751.630.15
Study type
Retrospective/cross-sectional631.951.243.072594.9797.61< 0.01
Prospective cohort293.031.316.984583.0599.39< 0.01
Age of bullying
Less than 13 yr362.111.632.72544.993.58< 0.01
Older than 13 yr562.291.244.2313806.7299.6< 0.01
Sex
Male272.071.482.89443.8494.14< 0.01
Female212.131.183.86313.593.62< 0.01
Severity of bullying
Sometimes151.781.392.2878.6182.19< 0.01
Frequent283.262.454.34224.4387.97< 0.01
Geographic location and income level
Low-to-middle income132.531.753.68143.9891.67< 0.01
High income792.151.263.6814351.7299.46< 0.01
Psychotic symptoms
Specific psychiatric symptoms62.071.492.8720.5775.69< 0.01
Non-clinical psychotic experiences92.682.033.5415.147.030.06
Psychotic symptoms52.731.973.7710.8663.160.03
Personality disorders
Anti-social personality disorder20.580.152.282.5360.480.11
Borderline personality disorder32.21.43.464.858.310.09
Eating disorders
Bulimia nervosa131.46.2---
Anorexia nervosa10.0040251---
Non-suicidal self injury
Pooling all301.751.42.19749.0296.13< 0.01
Study type
Retrospective/cross-sectional211.551.092.22721.1597.23< 0.01
Prospective cohort91.651.342.0219.3958.750.01
Sex
Male64.863.357.0713.5663.120.02
Female42.723.658.9266.370.03
Twins22.571.793.70.1200.73
Severity of bullying
Sometimes61.571.092.2534.0485.31< 0.01
Frequent72.521.63.9754.4988.99< 0.01
Suicidal ideation
Pooling all1051.771.562.022093.595.03< 0.01
Study type
Retrospective/cross-sectional861.81.562.092037.4695.83< 0.01
Prospective cohort191.681.382.0538.9853.82< 0.01
Age of bullying
Less than 13 yr221.851.482.374.471.77< 0.01
Older than 13 yr831.751.512.031984.0695.87< 0.01
Sex
Male211.951.642.3276.673.89< 0.01
Female182.151.842.5233.1548.720.01
Severity of bullying
Sometimes161.531.281.8235.1957.38< 0.01
Frequent212.592.063.2549.8359.87< 0.01
Geographic location and income level
Low-to-middle income111.311.061.6160.0283.34< 0.01
High income941.81.432.261894.9195.09< 0.01
Suicide attempt
Pooling all482.131.662.731110.4695.77< 0.01
Suicidal attempt/non-suicidal self injury32.971.685.236.3368.420.04
Study type
Retrospective/cross-sectional402.031.462.841105.6596.47< 0.01
Prospective cohort82.041.383.014.3400.74
Age of bullying
Less than 13 yr112.111.652.6911.4912.980.32
Older than 13 yr371.520.822.83579.7593.79< 0.01
Sex
Male72.931.655.1815.3854.50.02
Female72.891.525.4924.2371.11< 0.01
Severity of bullying
Sometimes92.191.712.87.5200.48
Frequent123.772.555.5828.3161.14< 0.01
Geographic location and income level
Low-to-middle income41.911.073.4322.1886.47< 0.01
High income442.171.692.81084.6196.04< 0.01
Behavioural problems
Pooling all541.371.181.59862.493.85< 0.01
Study type
Retrospective/cross-sectional291.180.991.41311.2191< 0.01
Prospective cohort251.560.942.58413.5394.2< 0.01
Sex
Male91.350.682.67450.0698.22< 0.01
Female71.990.974.188.0793.19< 0.01
Twins21.190.941.57.3186.310.01
Severity of bullying
Sometimes81.950.924.1243.7197.13< 0.01
Frequent82.260.766.69163.5195.72< 0.01
Externalising behaviours201.291.121.5157.0987.9< 0.01
Delinquent/deviant behaviour241.991.243.2423.7894.57< 0.01
Missed school71.490.992.2338.484.37< 0.01
Disruptive behavioural disorders
Attention deficit hyperactivity disorder12.60.88.5---
Oppositional defiant disorder10.80.32.5---
Conduct disorder12.60.88.8---
Other mental health outcomes (not included above)
Nervousness91.821.512.2135.5994.1< 0.01
Powerlessness21.060.951.181.6439.180.2
Feeling low72.261.663.08299.4798< 0.01
Irritability or bad temper71.821.512.2125.0795.2< 0.01
Feel helpless53.22.015.09273.5198.54< 0.01
Feeling tense33.072.064.563.0233.750.22
Unhappy/sad121.250.552.84668.6198.35< 0.01
Worried41.271.091.47314.3599.05< 0.01
Afraid32.681.186.099.4978.920.01
Table 2 Associations between bullying victimization in children and adolescents and substance use
Data pointsPooled OR95%CI lower bound95%CI upper boundCochran’s QI² (%)Test for heterogeneity (P value)
Alcohol use
Pooling all531.261.001.5810328.1899.5< 0.01
Study type
Retrospective/cross-sectional381.280.881.8410256.1599.64< 0.01
Prospective cohort151.190.871.6267.8779.37< 0.01
Sex
Male60.610.490.774.890.000.43
Female40.880.501.576.3652.860.1
Severity of bullying
Sometimes61.720.843.5086.1794.20< 0.01
Frequent131.530.783.03332.2796.39< 0.01
Frequency of alcohol consumption
Sometimes241.521.082.138416.9499.73< 0.01
Frequent290.990.861.14251.8188.88< 0.01
Age of bullying
Less than 13 yr161.230.931.631618.1499.07< 0.01
Older than 13 yr371.310.961.806896.7199.48< 0.01
Geographic location and income level
Low-to-middle income111.370.752.498328.2199.88< 0.01
High income421.080.911.27462.8491.14< 0.01
Tobacco use
Pooling all351.360.961.92418.7191.88< 0.01
Study type
Retrospective/cross-sectional261.170.592.31394.9293.67< 0.01
Prospective cohort91.621.311.9911.4830.330.18
Sex
Male30.970.591.588.2375.70.02
Female30.510.370.681.7800.41
Severity of bullying
Sometimes41.890.834.3371.3895.8< 0.01
Frequent43.191.198.5839.8592.47< 0.01
Frequency of smoking
Sometimes281.360.892.06400.7293.26< 0.01
Frequent71.351.001.8416.2863.160.01
Illicit drug use
Pooling all341.411.101.81677.6295.13< 0.01
Study type
Retrospective/cross-sectional112.431.424.15297.396.64< 0.01
Prospective cohort231.271.121.4467.2367.28< 0.01
Sex
Male71.040.811.3332.8481.73< 0.01
Female51.171.031.333.260.000.52
Severity of bullying
Sometimes71.220.781.90160.4796.26< 0.01
Frequent81.140.433.00465.4398.50< 0.01
Geographic location and income level
Low-to-middle income54.052.187.5598.6195.94< 0.01
High income291.311.151.48103.7373.01< 0.01
Cannabis only all91.420.962.1223.3265.70< 0.01
Study type
Retrospective/cross-sectional12.461.533.95---
Prospective cohort81.360.902.0518.1461.410.01
Table 3 Associations between bullying victimization in children and adolescents and other health outcomes
Data pointsPooled OR95%CI lower bound95%CI upper boundCochran’s QI² (%)Test for heterogeneity (P value)
Somatic symptoms
Unspecified psychosomatic symptoms252.001.542.60232.0289.66< 0.01
Stomach ache251.761.532.03138.7382.7< 0.01
Sleeping difficulties241.731.462.05574.9196< 0.01
Headache261.641.381.94169.1685.22< 0.01
Bedwetting32.511.444.374.9359.450.08
Feeling tired22.681.395.191.2217.870.27
Poor appetite22.231.603.12000.95
Back pain81.671.431.9573.5390.48< 0.01
Skin problems11.821.33251---
Dizziness91.641.381.9576.5789.55< 0.01
Eating and weight related problems
Binge eating22.661.684.220.5700.45
Non-diet soft drink consumption11.211.041.41---
Skips breakfast61.411.201.6511.8957.940.04
Underweight
Pooling all21.270.732.21000.96
Sex
Male11.280.692.37---
Female11.240.192.29---
Overweight
Pooling all141.681.212.3382.6984.28< 0.01
Study type
Retrospective/cross- sectional121.991.392.8565.4583.19< 0.01
Prospective cohort20.980.641.491.9247.970.17
Sex
Male71.220.991.498.0425.40.23
Female72.221.283.8450.1788.04< 0.01
Severity of bullying
Sometimes21.321.001.740.0900.77
Frequent61.140.881.477.3732.20.19
Obese
Pooling all131.781.422.2114.6818.280.26
Study type
Retrospective/cross-sectional101.971.532.537.2200.61
Prospective cohort31.570.892.776.8970.970.03
Sex
Male61.941.452.604.8800.43
Female62.151.572.942.2200.82
Severity of bullying
Sometimes21.631.112.380.5200.47
Frequent62.091.592.755.264.860.39
Sexual behaviour problems
Teen parent51.260.811.9715.1173.53< 0.01
Risky sexual behaviour42.280.955.4823.4387.2< 0.01
Early onset of sexual activities31.440.902.307.3872.910.02
Pooling all121.511.012.2585.6687.16< 0.01
Study type
Retrospective/cross-sectional31.770.427.5254.9796.36< 0.01
Prospective cohort91.340.981.8423.8866.51< 0.01
Severity of bullying
Sometimes20.810.511.282.4659.320.12
Frequent42.381.055.4127.5589.11< 0.01
Health services utilised
Pooling all161.200.991.4534.3756.36< 0.01
Study type
Retrospective/cross-sectional141.140.941.3927.9153.420.01
Prospective cohort21.540.653.614.4377.430.04
Sex
Male71.170.951.433.5400.74
Female71.411.121.7711.1646.250.08
General medication use
Pooling all121.160.801.70117.9890.68< 0.01
Study type
Retrospective/cross-sectional110.990.561.75112.2691.09< 0.01
Prospective cohort11.671.092.58---
Sex
Male
Medication for headache21.431.061.932.3457.210.13
Medication for stomach-ache21.090.721.651.947.50.17
Female
Medication for headache21.190.981.451.3324.790.25
Medication for stomach-ache21.231.011.50.2700.61
Severity of bullying
Sometimes51.260.991.5915.4674.13< 0.01
Frequent51.721.112.6724.983.93< 0.01
Over the counter drug misuse30.950.194.6676.3497.38< 0.01
Psychotropic medication use
Pooling all131.280.722.26205.7694.17< 0.01
Study type
Retrospective/cross-sectional110.950.322.8195.3494.88< 0.01
Prospective cohort21.310.662.65.6182.180.02
Sex
Male
Medication for nervousness21.320.424.114.9893.32< 0.01
Medication for sleeping21.891.332.671.5937.280.21
Female
Medication for nervousness21.971.492.591.065.880.3
Medication for sleeping21.831.422.360.2700.6
Severity of bullying
Sometimes61.661.262.1818.5473.04< 0.01
Frequent61.881.173.0331.9384.34< 0.01
Prescription drug misuse30.920.175.0788.1697.73< 0.01
Poor general health
Pooling all291.831.452.31133.3179< 0.01
Study type
Retrospective/cross-sectional221.711.212.42112.0681.26< 0.01
Prospective cohort71.561.072.2819.7269.57< 0.01
Sex
Male91.951.163.2720.560.980.01
Female92.361.115.0452.7884.84< 0.01
Severity of bullying
Sometimes42.161.104.269.1567.210.03
Frequent46.962.1722.3516.7282.05< 0.01
Table 4 Associations between bullying victimization and academic and social functioning
Data pointsPooled OR95%CI lower bound95%CI upper boundCochran’s QI² (%)Test for heterogeneity (P value)
Poor school functioning
Pooling all61.100.871.388293.9< 0.01
Study type
Retrospective/cross-sectional31.241.221.270.3300.85
Prospective cohort30.900.761.088.1575.460.02
Severity of bullying
Sometimes10.960.881.04---
Frequent10.980.761.19---
Academic achievement
Poor academic achievement
Pooling all61.331.061.6611.1755.250.02
Study type
Retrospective/cross-sectional61.331.061.6611.1755.250.02
Good academic achievement
Pooling all40.710.600.858.8165.970.07
Study type
Retrospective/cross-sectional30.860.80.922.8930.690.58
Prospective cohort10.460.280.76---
Sex
Male21.240.881.742.4959.80.65
Female21.320.991.751.428.70.84
Severity of bullying
Sometimes10.880.830.93---
Frequent10.800.700.93---
Poor financial and occupational functioning
Pooling all prospective cohort161.140.871.5092.9783.86< 0.01
Severity of bullying
Sometimes31.000.91.110.0400.98
Frequent30.810.611.072.6825.320.26
Social isolation
Loneliness
Pooling all131.891.392.573120.6699.62< 0.01
Study type
Retrospective/cross-sectional131.891.392.573120.6699.62< 0.01
Sex
Male42.581.624.10222.2198.65< 0.01
Female33.921.957.9019.5389.76< 0.01
Severity of bullying
Sometimes22.091.982.200.3900.53
Frequent44.122.247.6023.3287.13< 0.01
Self esteem
Pooling all140.990.921.0793.7386.13< 0.01
Study type
Retrospective/cross-sectional41.130.831.5476.5896.08< 0.01
Prospective cohort100.970.931.0112.3226.930.2
Sex
Male50.960.881.0620.6580.63< 0.01
Female40.950.881.035.7447.70.13
Severity of bullying
Sometimes50.990.951.041.6100.81
Frequent50.950.871.049.6558.540.05
Social problems
Pooling all221.020.741.42427.1395.08< 0.01
Study type
Retrospective/cross-sectional52.861.425.7638.0989.5< 0.01
Prospective cohort170.890.741.0672.3677.89< 0.01
Sex
Male12.891.455.73---
Female18.104.6014.26---
Severity of bullying
Sometimes30.90.830.960.500.78
Frequent30.810.720.923.6745.490.16
Criminal behaviour
Pooling all331.040.781.39133.3676.01< 0.01
Carrying a weapon81.591.271.9819.1663.470.01
Violent offense/behaviour61.251.011.562.4600.78
Study type
Retrospective/cross-sectional91.010.472.14106.8392.51< 0.01
Prospective cohort241.050.921.1925.7210.580.31
Sex
Male111.000.821.2213.7827.430.18
Female40.700.461.040.3800.94
Severity of bullying
Sometimes50.970.751.267.3745.740.12
Frequent81.220.861.7416.3357.130.02
Other outcomes reported
Good quality of later life60.850.780.9317.4271.29< 0.01
Poor life satisfaction62.261.413.603.7900.58
Problematic internet usage12.361.583.54---
Picked on by siblings11.691.382.07---
Table 5 Strength of evidence for a causal relationship between bullying victimization and adverse health or psychosocial problems
Strength of evidenceAdverse health or psychosocial problem
ConvincingAnxiety; depression; poor mental health; poor general health; non-suicidal self-injury; suicide attempts; suicide ideation
ProbableTobacco use; illicit drug use
PossibleAlcohol use; psychotic symptoms; increased use of health services in females; lower academic achievement; social isolation; loneliness; psychosomatic symptoms, overweight and obesity
InsufficientBinge eating; bulimia nervosa; borderline personality disorder; behavioural problems; carrying a weapon; general medication use; health services sought; poor financial and occupational functioning; psychotropic medication use; poor school functioning; sexual behavioural problems; poor life satisfaction