participants were drawn from the minnesota twin family study , a community - based sample of adolescents and their families . this sample was utilized because the participants were representative of minnesota families with children living at home ( based on the 2000 us census ) and because it included rigorous , developmentally - timed assessments of key study variables ( see above ) . of eligible families , youth were born between 1977 and 1982 ( males ) or 1981 and 1985 ( females ) . participants ( 752 males , 760 females ) were first recruited and assessed when the youth were 11 ( mean=11.7 , sd=.4 ) and were invited back to return to the study at ages 14 ( mean=14.8 , sd=.5 ) , 17 ( mean=18.2 , sd=.7 ) , 20 ( mean=21.5 , sd=.8 ) , and 24 ( mean=25.3 , sd=.7 ) . although twin zygosity was not considered in this report , both monozygotic ( n=487 ) and dizygotic ( n=269 ) pairs comprised the sample . this study was approved by the university of minnesota irb , and participants gave informed consent ( if 18 or over or parent on behalf of a minor child ) or assent ( for minors ) . consistent with the population of the state of minnesota at the time these youth were born , approximately 95% of the sample was white . mdd was assessed in youth younger than age 17 using the diagnostic interview schedule for children and adolescents and in youth ages 17 and older using the structured clinical interview for dsm - iii - r . diagnostic interviews were conducted in person by trained interviewers with bachelor s or master s degree in psychology , reviewed by teams of advanced clinical psychology doctoral students who achieved consensus agreement for each assessed symptom of mdd , and diagnosed using computer algorithms following dsm rules ( kappas = .78 or better ) . for youth 17 and younger , diagnoses reported by either the mother or the child were counted as present ( the best - estimate method ) . definite and probable ( exhibiting all symptoms necessary for the diagnosis except one ) diagnoses were used . at the initial assessment , lifetime diagnoses were assessed ; after that , mdd was assessed since the last visit to the study . diagnoses reported at either age 11 or age 14 were combined into an assessment of mdd during early adolescence . if mdd was first reported at 17 or 20 , this was considered to represent late adolescent - onset mdd . if mdd was first reported at 24 , this was considered to represent an onset of mdd during early adulthood . body mass index ( bmi ) was calculated using the standard formula ( weight in kilograms divided by height in meters squared ) . for youth at age 20 and 24 , the standard bmi cutoff of 30 was used to define obesity . for youth younger than age 20 , growth curves from the center for disease control were used to determine obesity cutoffs ( 95 percentile ) for each age and sex based on the average participant ages at each assessment ( age 11 : 23.90 for males , 24.89 for females ; age 14 : 26.71 for males , 27.99 for females ; age 17 : 28.90 for males , 30 for females ) . analogous to mdd , obesity first occurring at age 11 or age 14 was combined into an assessment of obesity during early adolescence . if obesity was first present at 17 or 20 , this if obesity was first present at 24 , this was considered to represent an onset of obesity during early adulthood . sas version 9.2 was employed to compute generalized estimating equations ( gees ; proc genmod ) to account for the correlated observations in this sample ( twins nested within families ) . there was little missing data because if a participant missed an early assessment , the relevant data for the missed assessment were obtained in a subsequent assessment . in cases where a data point was missing first , prevalences of the onset of each disorder during each developmental period , as well as anytime prior to the final assessment , were computed and compared across sex using gees . next , in order to examine cross - sectional associations between these disorders , tetrachoric correlations were conducted ( reported with asymptotic standard errors ) to describe the associations between mdd and obesity with onsets occurring within each developmental stage ( early adolescence , late adolescence , and early adulthood ) , as well as onsets anytime prior to the final assessment . for the prospective ( i.e. , across time ) analyses that were the focus of our study , because of our interest in disorder onsets ( rather than the recurrence or persistence of disorders ) , some participants were eliminated from certain analyses due to their having earlier onset of the disorder . for example , if a participant experienced mdd prior to age 14 , he / she was not included in analyses predicting obesity onsets in early adulthood from mdd onsets between 14 and 20 ( because the mdd onset had been experienced prior to that ) . for the prospective analyses , the first examined the overall effect of one disorder on the other , adjusting for the effect of gender . the second included a disorder - by - gender interaction term in order to assess the significance of gender differences in the effect of the independent variable on the dependent variable . first , we examined whether the occurrence of obesity by age 14 predicted the development of mdd ( 1 ) during late adolescence , and ( 2 ) during early adulthood . second , we examined the association between obesity first developing during late adolescence and the onset of mdd in early adulthood . next , we examined the opposite directions of effect : mdd by age 14 predicting the development of obesity ( 1 ) during late adolescence and ( 2 ) during early adulthood ; and mdd first developing during late adolescence and the onset of obesity in early adulthood . for inclusion in the analysis , participants were required to have data at the oldest assessment point within each developmental period ( age 14 for early adolescence , age 20 for late adolescence , and age 24 for early adulthood ) . data were occasionally missing at the younger assessment point ( age 11 for early adolescence and age 17 for late adolescence ) . if a participant missed one of these assessments , when he or she returned , mdd was assessed since the previous visit to the study ; therefore , these entire developmental periods were covered . for obesity , the only way a case would have been missed would be if the participant first became obese and then became non - obese all within a 6-year period . participants were drawn from the minnesota twin family study , a community - based sample of adolescents and their families . this sample was utilized because the participants were representative of minnesota families with children living at home ( based on the 2000 us census ) and because it included rigorous , developmentally - timed assessments of key study variables ( see above ) . of eligible families , youth were born between 1977 and 1982 ( males ) or 1981 and 1985 ( females ) . participants ( 752 males , 760 females ) were first recruited and assessed when the youth were 11 ( mean=11.7 , sd=.4 ) and were invited back to return to the study at ages 14 ( mean=14.8 , sd=.5 ) , 17 ( mean=18.2 , sd=.7 ) , 20 ( mean=21.5 , sd=.8 ) , and 24 ( mean=25.3 , sd=.7 ) . although twin zygosity was not considered in this report , both monozygotic ( n=487 ) and dizygotic ( n=269 ) pairs comprised the sample . this study was approved by the university of minnesota irb , and participants gave informed consent ( if 18 or over or parent on behalf of a minor child ) or assent ( for minors ) . consistent with the population of the state of minnesota at the time these youth were born , approximately 95% of the sample was white . mdd was assessed in youth younger than age 17 using the diagnostic interview schedule for children and adolescents and in youth ages 17 and older using the structured clinical interview for dsm - iii - r . diagnostic interviews were conducted in person by trained interviewers with bachelor s or master s degree in psychology , reviewed by teams of advanced clinical psychology doctoral students who achieved consensus agreement for each assessed symptom of mdd , and diagnosed using computer algorithms following dsm rules ( kappas = .78 or better ) . for youth 17 and younger , diagnoses reported by either the mother or the child were counted as present ( the best - estimate method ) . definite and probable ( exhibiting all symptoms necessary for the diagnosis except one ) diagnoses were used . at the initial assessment , lifetime diagnoses were assessed ; after that , mdd was assessed since the last visit to the study . diagnoses reported at either age 11 or age 14 were combined into an assessment of mdd during early adolescence . if mdd was first reported at 17 or 20 , this was considered to represent late adolescent - onset mdd . if mdd was first reported at 24 , this was considered to represent an onset of mdd during early adulthood . body mass index ( bmi ) was calculated using the standard formula ( weight in kilograms divided by height in meters squared ) . for youth at age 20 and 24 , younger than age 20 , growth curves from the center for disease control were used to determine obesity cutoffs ( 95 percentile ) for each age and sex based on the average participant ages at each assessment ( age 11 : 23.90 for males , 24.89 for females ; age 14 : 26.71 for males , 27.99 for females ; age 17 : 28.90 for males , 30 for females ) . analogous to mdd , obesity first occurring at age 11 or age 14 was combined into an assessment of obesity during early adolescence . if obesity was first present at 17 or 20 , this was considered to represent late adolescent - onset obesity . if obesity was first present at 24 , this was considered to represent an onset of obesity during early adulthood . mdd was assessed in youth younger than age 17 using the diagnostic interview schedule for children and adolescents and in youth ages 17 and older using the structured clinical interview for dsm - iii - r . diagnostic interviews were conducted in person by trained interviewers with bachelor s or master s degree in psychology , reviewed by teams of advanced clinical psychology doctoral students who achieved consensus agreement for each assessed symptom of mdd , and diagnosed using computer algorithms following dsm rules ( kappas = .78 or better ) . for youth 17 and younger , diagnoses reported by either the mother or the child were counted as present ( the best - estimate method ) . definite and probable ( exhibiting all symptoms necessary for the diagnosis except one ) diagnoses were used . at the initial assessment , lifetime diagnoses were assessed ; after that , mdd was assessed since the last visit to the study . diagnoses reported at either age 11 or age 14 were combined into an assessment of mdd during early adolescence . if mdd was first reported at 17 or 20 , this was considered to represent late adolescent - onset mdd . if mdd was first reported at 24 , this was considered to represent an onset of mdd during early adulthood . body mass index ( bmi ) was calculated using the standard formula ( weight in kilograms divided by height in meters squared ) . for youth at age 20 and 24 , younger than age 20 , growth curves from the center for disease control were used to determine obesity cutoffs ( 95 percentile ) for each age and sex based on the average participant ages at each assessment ( age 11 : 23.90 for males , 24.89 for females ; age 14 : 26.71 for males , 27.99 for females ; age 17 : 28.90 for males , 30 for females ) . analogous to mdd , obesity first occurring at age 11 or age 14 was combined into an assessment of obesity during early adolescence . if obesity was first present at 17 or 20 , this was considered to represent late adolescent - onset obesity . if obesity was first present at 24 , this was considered to represent an onset of obesity during early adulthood . sas version 9.2 was employed to compute generalized estimating equations ( gees ; proc genmod ) to account for the correlated observations in this sample ( twins nested within families ) . there was little missing data because if a participant missed an early assessment , the relevant data for the missed assessment were obtained in a subsequent assessment . in cases where a data point was missing first , prevalences of the onset of each disorder during each developmental period , as well as anytime prior to the final assessment , were computed and compared across sex using gees . next , in order to examine cross - sectional associations between these disorders , tetrachoric correlations were conducted ( reported with asymptotic standard errors ) to describe the associations between mdd and obesity with onsets occurring within each developmental stage ( early adolescence , late adolescence , and early adulthood ) , as well as onsets anytime prior to the final assessment . for the prospective ( i.e. , across time ) analyses that were the focus of our study , because of our interest in disorder onsets ( rather than the recurrence or persistence of disorders ) , some participants were eliminated from certain analyses due to their having earlier onset of the disorder . for example , if a participant experienced mdd prior to age 14 , he / she was not included in analyses predicting obesity onsets in early adulthood from mdd onsets between 14 and 20 ( because the mdd onset had been experienced prior to that ) . for the prospective analyses , the first examined the overall effect of one disorder on the other , adjusting for the effect of gender . the second included a disorder - by - gender interaction term in order to assess the significance of gender differences in the effect of the independent variable on the dependent variable . first , we examined whether the occurrence of obesity by age 14 predicted the development of mdd ( 1 ) during late adolescence , and ( 2 ) during early adulthood . second , we examined the association between obesity first developing during late adolescence and the onset of mdd in early adulthood . next , we examined the opposite directions of effect : mdd by age 14 predicting the development of obesity ( 1 ) during late adolescence and ( 2 ) during early adulthood ; and mdd first developing during late adolescence and the onset of obesity in early adulthood . for inclusion in the analysis , participants were required to have data at the oldest assessment point within each developmental period ( age 14 for early adolescence , age 20 for late adolescence , and age 24 for early adulthood ) . data were occasionally missing at the younger assessment point ( age 11 for early adolescence and age 17 for late adolescence ) . if a participant missed one of these assessments , when he or she returned , mdd was assessed since the previous visit to the study ; therefore , these entire developmental periods were covered . for obesity , the only way a case would have been missed would be if the participant first became obese and then became non - obese all within a 6-year period . prevalences of the onset of each disorder during early adolescence , late adolescence , and early adulthood , as well as at any time prior to age 24 , are presented in table 1 separately by gender . turning to the bottom 3 rows , by age 24 , lifetime rates of mdd ( 26.5% males , 36.4% females ) and co - occurring mdd and obesity ( 7.8% males , 11.9% females ) , but not obesity considered alone ( 25.7% males , 27.5% females ) , differed by gender , with women having higher rates than men . turning to specific developmental stages , gender differences were evident for mdd in late adolescence ( 12.0% males , 18.9% females ) and early adulthood ( 7.6% males , 12.3% females ) , with females showing higher rates than males . as can be seen from table 1 , the co - occurrence of the onsets of the two disorders at each developmental stage was uncommon , never attaining a rate higher than 1.8% for either gender , and thus did not occur with sufficient frequency to justify computing odds ratios . by age 24 , the lifetime occurrence of obesity and mdd was significantly correlated ( r=.14 , se=.05 , p<.05 ) . however , of particular interest was how the correlation between these conditions varied with development ; we expected that there would be stronger correlations at younger , compared to older , ages . mdd and obesity were significantly correlated if both occurred by early adolescence ( r=.20 , se=.08 , p<.05 ) , but the correlation was not significant when mdd and obesity first occurred in late adolescence ( r=.03 , se=.09 ) or in early adulthood ( r=.09 , se=.11 ) . as can be seen from table 2 , obesity that developed by early adolescence did not significantly predict the onset of mdd anytime during the follow - up period ( during late adolescence or early adulthood ) , though there was a trend for early adolescent obesity to predict the onset of mdd during the late adolescent period . obesity that developed in late adolescence did predict the onset of mdd in early adulthood among females ( a gender - by - obesity interaction effect ; figure 1 ) . as can be seen in table 2 , mdd that developed by early adolescence predicted the onset of obesity in late adolescence among females ( a gender - by - mdd interaction effect ; figure 2 ) . mdd that developed in late adolescence did not predict the onset of obesity in early adulthood . prevalences of the onset of each disorder during early adolescence , late adolescence , and early adulthood , as well as at any time prior to age 24 , are presented in table 1 separately by gender . turning to the bottom 3 rows , by age 24 , lifetime rates of mdd ( 26.5% males , 36.4% females ) and co - occurring mdd and obesity ( 7.8% males , 11.9% females ) , but not obesity considered alone ( 25.7% males , 27.5% females ) , differed by gender , with women having higher rates than men . turning to specific developmental stages , gender differences were evident for mdd in late adolescence ( 12.0% males , 18.9% females ) and early adulthood ( 7.6% males , 12.3% females ) , with females showing higher rates than males . as can be seen from table 1 , the co - occurrence of the onsets of the two disorders at each developmental stage was uncommon , never attaining a rate higher than 1.8% for either gender , and thus did not occur with sufficient frequency to justify computing odds ratios . by age 24 , the lifetime occurrence of obesity and mdd was significantly correlated ( r=.14 , se=.05 , p<.05 ) . however , of particular interest was how the correlation between these conditions varied with development ; we expected that there would be stronger correlations at younger , compared to older , ages . mdd and obesity were significantly correlated if both occurred by early adolescence ( r=.20 , se=.08 , p<.05 ) , but the correlation was not significant when mdd and obesity first occurred in late adolescence ( r=.03 , se=.09 ) or in early adulthood ( r=.09 , se=.11 ) . as can be seen from table 2 , obesity that developed by early adolescence did not significantly predict the onset of mdd anytime during the follow - up period ( during late adolescence or early adulthood ) , though there was a trend for early adolescent obesity to predict the onset of mdd during the late adolescent period . obesity that developed in late adolescence did predict the onset of mdd in early adulthood among females ( a gender - by - obesity interaction effect ; figure 1 ) . as can be seen in table 2 , mdd that developed by early adolescence predicted the onset of obesity in late adolescence among females ( a gender - by - mdd interaction effect ; figure 2 ) . mdd that developed in late adolescence did not predict the onset of obesity in early adulthood . the results of this study indicate that there appear to be developmental as well as gender differences in the association between mdd and obesity . mdd occurring by early adolescence predicted the development of obesity in late adolescence among females . conversely , obesity with an onset during late adolescence predicted the onset of mdd in early adulthood among females . in addition , mdd and obesity developing by early adolescence were cross - sectionally associated with each other ; this effect was not present at later ages . the results of this study were consistent with our expectations and highlight the importance of the adolescent period in the development of comorbidity between these disorders . regarding cross - sectional associations , we anticipated that these disorders would be more strongly related at younger , compared to older , ages , and mdd and obesity with onsets during childhood and early adolescence were cross - sectionally related while disorders with later onsets were not . it is important to note that within this key developmental period ( i.e. , by age 14 ) , we do not know which disorder developed first , or whether they developed simultaneously . the prospective results were also consistent with expectations , with each disorder during adolescence predicting the later onset of the other disorder among females . the earliest - onset cases of mdd appear to be most predictive of later obesity for girls ; this could be for any of the reasons discussed earlier , including the still - developing eating and activity habits of young people or the symptom differences between childhood mdd and mdd in adults . interestingly , the earliest - onset cases of obesity were not the most predictive of later - onset mdd , though they were concurrently associated with mdd . although obesity by early adolescence ( age 14 ) did not significantly predict the later onset of mdd ( though this effect was significant at a trend level , with obese early adolescents being at 1.5 times the risk of non - obese adolescents for developing mdd in late adolescence , and no significant gender difference in this trend ) , obesity developing during late adolescence ( 1420 ) was particularly predictive of the later onset of mdd among females . perhaps body - related insecurities and/or peer pressure relating to body shape and weight are at a height during this late adolescent period ( when the pressure to conform to peer norms is high and dating relationships are forming ) and therefore young women who experience the onset of obesity during this time are particularly vulnerable to the subsequent onset of mdd . considering lifetime diagnoses by age 24 , both mdd and co - occurring mdd and obesity were more prevalent among women . significant gender interaction effects were found for prospective associations in both directions , with the increased risk for the other disorder being found among young women specifically . for example , obesity may be a more stigmatized condition among females and/or women may be more likely to eat to cope with negative feelings than men . interestingly , inspection of prevalences ( figures 1 and 2 ) indicates that males with either earlier disorder were at slightly decreased risk for the development of the other disorder ; this may indicate the presence of significantly different pathways for the development of these disorders among males and females . the results of this study are broadly consistent with prior prospective research that used study - assessed mdd and obesity diagnoses . specifically , richardson and colleagues found that mdd between 11 and 15 was not associated with obesity at 26 , though later mdd ( between 18 and 21 ) was for females . we also found that effects were strongest on the adjacent developmental period ( early to late adolescence for the mdd to obesity pathway ) . however , we did not replicate their effect of mdd between 18 and 21 ( similar to the latter half of our late - adolescent period ) on later obesity in females ; the reasons for this difference are unclear but may relate to richardson et al.s examination of the occurrence of mdd and obesity , not specifically the first onsets of these disorders . the results of this study imply that prevention efforts aimed at both of these disorders in childhood and adolescence may be fruitful in decreasing the prevalence of this form of comorbidity . in particular , preventing mdd by early adolescence has the potential to decrease the later onset of obesity , and preventing the development of obesity during later adolescence ( and perhaps early adolescence as well , given the trend - level effect found for that period ) has the potential to decrease the prevalence of early adult - onset mdd , particularly among women . for example , if decreased activity among depressed youth moderates this association , then encouraging young girls with depression to exercise and/or participate in sports as they are being treated for depression may prevent the later onset of obesity . although we found differences in the associations between these disorders depending on whether we examined the period from early adolescence to late adolescence or late adolescence to early adulthood , our methodology did not allow us to directly test for the presence of developmental differences ( e.g. , by examining age interaction effects , as we did to test for gender differences ) . therefore , it is possible that the differences in significance that we found by developmental stage are not indicative of true developmental differences . for instance , although obesity first occurring in late adolescence was strongly associated with increased odds of mdd ( or=2.83 ) , obesity occurring by early adolescence showed a weak association with mdd ( or=1.53 ) that just missed significance ( see table 2 ) . as we have noted above , from this we would not conclude that risk is only elevated in late adolescence . however , a somewhat different picture emerged for mdd as a risk factor for obesity , especially in girls . the interaction effect for mdd by early adolescence leading to obesity was significant , indicating that the risk was especially elevated for girls ( or=3.76 ) . for mdd first occurring in late adolescence , the interaction effect was not only not significant , but in the opposite direction , indicating that for girls , mdd was associated with non - significant but slightly reduced risk of obesity . although this pattern of results can not rule out that mdd first occurring in late adolescence is associated with elevated risk for obesity , it nonetheless offers plausible support backing the hypothesis that the key risk period in the mdd to obesity association is in early adolescence for girls in sum , until other research directly examines interaction effects by age , it is important to consider the developmental differences we found to be tentative . it is not clear how these results would generalize to other samples ; however , other research has not found different associations between these disorders among african - american and white adolescents and our sample was representative of the state of minnesota at the time these participants were born . in sum , the results of this study indicate that among women , mdd occurring by early adolescence predicts the later onset of obesity . conversely , adolescent - onset obesity among women ( perhaps particularly obesity with an onset in late adolescence ) predicts the later onset of mdd . in addition , the onsets of these disorders are cross - sectionally associated in childhood and early adolescence , but not later . research investigating possible mechanisms accounting for these differing associations in different developmental periods would be useful . in addition , studies examining prevention and treatment efforts focusing on early - onset cases of mdd and adolescent - onset cases of obesity are warranted , as these may be most likely to reduce risk for the later development of the other disorder .
objectiveobesity and major depressive disorder ( mdd ) are associated , but evidence about how they relate over time is conflicting . 
 the goal of this study was to examine prospective associations between depression and obesity from early adolescence through early adulthood.methodsparticipants were drawn from a statewide , community - based , minnesota sample . 
 mdd and obesity with onsets by early adolescence ( by age 14 ) , late adolescence ( between 14 and 20 ) , and early adulthood ( ages 20 to 24 ) were assessed via structured interview ( depression ) and study - measured height and weight.resultscross-sectional results indicated that depression and obesity with onsets by early adolescence were concurrently associated , but the same was not true later in development . 
 prospective results indicated that depression by early adolescence predicted the onset of obesity ( odds ratio=3.76 , confidence interval= 1.3310.59 ) during late adolescence among females . 
 obesity that developed during late adolescence predicted the onset of depression ( odds ratio=5.89 , confidence interval= 2.3115.01 ) during early adulthood among females.conclusionsfor girls , adolescence is a high risk period for the development of this comorbidity , with the nature of the risk varying over the course of adolescence . 
 early adolescent - onset depression is associated with elevated risk of later onset obesity , and obesity , particularly in late adolescence , is associated with increased odds of later depression . 
 further investigation into the mechanisms of these effects and the reasons for the observed gender and developmental differences is needed . 
 prevention programs focused on early - onset cases of depression and adolescent - onset cases of obesity , particularly among females , may help in reducing risk for this form of comorbidity .