Associations Between Adult Attention-Deficit/Hyperactivity Disorder (ADHD) Traits and Sociodemographic Characteristics in Japanese Workers.

Associations Between Adult Attention-Deficit/Hyperactivity Disorder (ADHD) Traits and Sociodemographic Characteristics in Japanese Workers.
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DOI:
10.2147/ndt.s398478
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发表时间:
2023
影响因子:
3.2
通讯作者:
Ikeda, Shunya
Ikeda, Shunya
中科院分区:
医学4区
文献类型:
--
作者:
Suzuki, Tomoko;Wada, Koji;Nakazato, Michiko;Ohtani, Toshiyuki;Yamazaki, Michiko;Ikeda, Shunya

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大多数先前描述成人注意力缺陷/多动障碍(ADHD)和社会人口学特征之间关联的研究都集中在诊断为ADHD的个体上,很少有研究调查一般人群中的ADHD特征。此外,一些在大学期间没有遇到任何问题并成功从大学毕业的工人在找到工作后发展出ADHD特征。这项研究描述了ADHD的特点和社会人口学特征之间的关联,日本工人谁是大学毕业生。参与者是从日本各地随机选择的工人(n=1240),他们完成了一项自我管理的在线调查。使用成人ADHD自我报告量表测量ADHD特征,应用评分规则以反映《精神疾病诊断和统计手册》第五版标准。收集了社会人口学特征的信息,包括性别、年龄、社会经济地位、工作时间和健康相关行为。我们进行了偏相关分析来估计趋势关联,并使用协方差分析来比较调整后的平均值。该模型针对所有变量进行了调整。男性的ADHD特征水平高于女性(p = 0.001),年龄越小,ADHD特征水平越高(p < 0.001)。低收入工人的ADHD特征水平高于高收入工人(p = 0.009)。更频繁的午夜用餐与更高水平的ADHD特征相关(p < 0.001),尽管早餐,午餐和晚餐没有差异。那些没有从睡眠中得到足够休息的人有更高水平的ADHD特征(p = 0.007)。工人中高水平ADHD特征的结果与先前诊断为ADHD的成年人的研究一致,即使所有参与者都成功地从大学毕业。对这些ADHD特征的评估可能有助于预防与这些ADHD特征相关的健康恶化。
Most previous studies that described associations between adult attention-deficit/hyperactivity disorder (ADHD) and sociodemographic characteristics were focused on individuals diagnosed with ADHD, and few studies investigated ADHD traits in the general population. Additionally, some workers, who experienced no problems while at university and successfully graduated from university, developed ADHD traits after finding employment. This study described associations between ADHD traits and sociodemographic characteristics among Japanese workers who were university graduates. Participants were randomly selected workers (n=1240) from across Japan who completed a self-administered online survey. ADHD traits were measured using an adult ADHD Self-report Scale, with scoring rules applied to reflect the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria. Information was collected on sociodemographic characteristics including sex, age, socioeconomic status, working time, and health-related behaviors. We performed partial correlation analysis to estimate trend associations and used analysis of covariance to compare adjusted averages. This model was adjusted for all variables. Males had higher levels of ADHD traits than females (p = 0.001), and younger age was associated with higher levels of ADHD traits (p < 0.001). Workers with low incomes had higher levels of ADHD traits than workers with high incomes (p = 0.009). More frequent consumption of midnight meals was associated with higher levels of ADHD traits (p < 0.001), although there were no differences for breakfast, lunch, and dinner. Those who did not get enough rest from sleep had higher levels of ADHD traits (p = 0.007). Results for high levels of ADHD traits among workers were consistent with previous studies for adults diagnosed with ADHD, even though all participants had successfully graduated from university. Assessment of these ADHD traits may support prevention of health deterioration related to these ADHD traits.
DOI: 10.2486/indhealth.2021-0253
发表时间: 2022-12-01
期刊: INDUSTRIAL HEALTH
影响因子: 2
作者:
Suzuki, Tomoko;Wada, Koji;Nakazato, Michiko;Ohtani, Toshiyuki;Yoshinaga, Yoko;Muzembo, Basilua Andre;Khatiwada, Januka;Choomplang, Nattadech;Garidkhuu, Ariuntuul;Ikeda, Shunya
通讯作者: Ikeda, Shunya