Hartge Joseph, Toledo Patricia
Department of Economics, Ohio University. Office: 345 Bentley Annex. Athens, OH 45701, USA,
J Ment Health Policy Econ. 2018 Sep 1;21(3):105-121.
Attention-deficit/hyper-activity disorder's (ADHD) prevalence rate has been increasing during the last decade. Evidence from different studies suggests that the effect of ADHD on earnings and employment could be more detrimental than other disorders such as depression or anxiety. Although it is widely known that these mental disorders can coexist with ADHD, none of these studies has considered the joint evaluation of ADHD and its comorbidities.
In this paper, we evaluate whether ADHD is a more severe disorder than three other comorbid mental disorders -- learning disabilities, depression, and anxiety -- regarding their effects on earnings and employment.
We use the National Longitudinal Study of Adolescent to Adult Health to estimate regression models of earnings and employment. We consider the use of the sampling weights, school fixed effects, and multiple imputation of missing values. Robustness checks include a more exogenous measure of depression.
On average, an individual with ADHD or depression (but not both) has around 20% lower earnings than those without any of these disorders. The earnings gap for learning disabilities is around 25%. The probability of being employed is 5 percentage points lower for an individual who has any of these disorders. Anxiety is not associated with lower earnings. Females with learning disabilities have an earnings gap that is 20 percentage points larger than males. The employment gap for females or African Americans with learning disabilities is 8%.
In contrast to existing evidence, we find that ADHD is not more serious than learning disabilities or depression. Although the magnitude of each employment gap is not substantial, the fact that these are comorbid disorders indicates that their joint occurrence could be detrimental for employment. Females and African Americans with learning disabilities could face more adverse labor market outcomes. Even though our results are robust to a more exogenous measure of depression, the potential endogeneity of the diagnosis of ADHD or anxiety could still bias the estimates. However, baseline results are also robust when individuals with an age of diagnosis equal to the year of the interview are dropped from the estimations.
The increasing number of Supplemental Security Income beneficiaries with ADHD is in line with the observed tendency to screen for ADHD more frequently than for other comorbid disorders, and with the evidence of ADHD overdiagnosis. Since our study shows that other disorders are equally or potentially more disabling than ADHD in terms of labor market outcomes, mental health policies should be reoriented to prevent policies targeting ADHD from crowding out those for other mental disorders. It would be interesting to verify our findings using a more recent cohort with a higher rate of ADHD diagnosis. Since we show that there are unexplained gender and race differences that persist after controlling for educational attainment or the number of hours worked, more research is needed to determine the reason behind these differences. Further research about the positive school effect on the adulthood performance of ADHD children is needed.
在过去十年中,注意力缺陷多动障碍(ADHD)的患病率一直在上升。不同研究的证据表明,ADHD对收入和就业的影响可能比抑郁症或焦虑症等其他疾病更具危害性。尽管众所周知这些精神障碍可能与ADHD共存,但这些研究均未考虑对ADHD及其合并症进行联合评估。
在本文中,我们评估就ADHD及其对收入和就业的影响而言,它是否比其他三种合并的精神障碍——学习障碍、抑郁症和焦虑症——更为严重。
我们使用青少年到成人健康全国纵向研究来估计收入和就业的回归模型。我们考虑使用抽样权重、学校固定效应以及对缺失值进行多重插补。稳健性检验包括对抑郁症采用更具外生性的测量方法。
平均而言,患有ADHD或抑郁症(但不是两者都有)的个体比没有这些疾病的个体收入低约20%。学习障碍的收入差距约为25%。患有这些疾病之一的个体就业概率低5个百分点。焦虑症与较低收入无关。患有学习障碍的女性收入差距比男性大20个百分点。患有学习障碍的女性或非裔美国人的就业差距为8%。
与现有证据相反,我们发现ADHD并不比学习障碍或抑郁症更严重。尽管每个就业差距的幅度不大,但这些是合并症这一事实表明它们的共同出现可能对就业不利。患有学习障碍的女性和非裔美国人可能面临更不利的劳动力市场结果。尽管我们的结果对于抑郁症的更具外生性的测量是稳健的,但ADHD或焦虑症诊断的潜在内生性仍可能使估计产生偏差。然而,当从估计中剔除诊断年龄等于访谈年份的个体时,基线结果也是稳健的。
患有ADHD的补充保障收入受益人的数量不断增加,这与观察到的比其他合并症更频繁筛查ADHD的趋势以及ADHD过度诊断的证据一致。由于我们的研究表明,就劳动力市场结果而言,其他疾病与ADHD同样致残或可能更致残,因此心理健康政策应重新定位,以防止针对ADHD的政策排挤针对其他精神障碍的政策。使用ADHD诊断率更高的更新队列来验证我们的发现将是很有意思的。由于我们表明在控制了教育程度或工作小时数之后,仍然存在无法解释的性别和种族差异,因此需要更多研究来确定这些差异背后的原因。还需要进一步研究学校对ADHD儿童成年后表现的积极影响。