PDF(Pubmed)
Abstract：
UNASSIGNED: Panic disorder (PD) is one of the most common and debilitating anxiety disorder. Individuals with PD seek frequent healthcare and emergency services leading to frequent work absenteeism and economic burden. However, its prevalence patterns in the Indian context are poorly understood. Hence, this article discusses the epidemiology, disability, and treatment gap from India\'s National Mental Health Survey 2016.
UNASSIGNED: National Mental Health Survey 2016 was a nationally representative epidemiological survey of adult respondents from 12 states of India. Mini International Neuropsychiatric Interview 6.0.0 is used to diagnose psychiatric disorders. Sheehan disability scale was used to assess the disability. The current weighted prevalence of PD was estimated. Association between PD and its sociodemographic correlates was done using Firth penalized logistic regression. The treatment gap and disability in PD were also calculated.
UNASSIGNED: The lifetime and current weighted prevalence of PD was 0.5% (95% confidence interval 0.49-0.52) and 0.3% (95% confidence interval 0.28-0.41), respectively. The male gender and unemployed have significantly lesser odds with current PD. The elderly, Urban metro, and the married/separated group have significantly higher odds with current PD. The most common comorbid psychiatric disorder is agoraphobia (42.3%) and depression (30.9%) followed by Generalized Anxiety Disorder (10%). Among respondents with current PD in the past 1 month across three domains, around 80% had a disability of any severity and 20%-25% had marked disability. The overall treatment gap of current PD is 71.7%.
UNASSIGNED: It is the first study reporting prevalence from a nationally representative sample from the general population of India. The survey has shed light on the epidemiology and the challenges faced by those with PD which emphasizes the urgency of bridging the treatment gap. These findings are paramount to the development of more inclusive and effective mental health policies and interventions to tackle the current burden due to PD.
UNASSIGNED: National Mental Health Survey 2016 was a nationally representative epidemiological survey of adult respondents from 12 states of India. Mini International Neuropsychiatric Interview 6.0.0 is used to diagnose psychiatric disorders. Sheehan disability scale was used to assess the disability. The current weighted prevalence of PD was estimated. Association between PD and its sociodemographic correlates was done using Firth penalized logistic regression. The treatment gap and disability in PD were also calculated.
UNASSIGNED: The lifetime and current weighted prevalence of PD was 0.5% (95% confidence interval 0.49-0.52) and 0.3% (95% confidence interval 0.28-0.41), respectively. The male gender and unemployed have significantly lesser odds with current PD. The elderly, Urban metro, and the married/separated group have significantly higher odds with current PD. The most common comorbid psychiatric disorder is agoraphobia (42.3%) and depression (30.9%) followed by Generalized Anxiety Disorder (10%). Among respondents with current PD in the past 1 month across three domains, around 80% had a disability of any severity and 20%-25% had marked disability. The overall treatment gap of current PD is 71.7%.
UNASSIGNED: It is the first study reporting prevalence from a nationally representative sample from the general population of India. The survey has shed light on the epidemiology and the challenges faced by those with PD which emphasizes the urgency of bridging the treatment gap. These findings are paramount to the development of more inclusive and effective mental health policies and interventions to tackle the current burden due to PD.
摘要：
■恐慌症（PD）是一种最常见和使人衰弱的焦虑症。患有PD的个人寻求频繁的医疗保健和紧急服务，导致频繁的缺勤和经济负担。然而,它在印度背景下的流行模式知之甚少。因此，这篇文章讨论了流行病学，残疾,和治疗差距来自印度2016年国家心理健康调查。
■2016年全国心理健康调查是对印度12个州的成年受访者进行的具有全国代表性的流行病学调查。迷你国际神经精神访谈6.0.0用于诊断精神疾病。使用Sheehan残疾量表评估残疾。估计当前PD的加权患病率。PD与其社会人口统计学相关性之间的关联是使用Firth惩罚逻辑回归进行的。还计算了PD的治疗差距和残疾。
■PD的寿命和当前加权患病率分别为0.5％（95％置信区间0.49-0.52）和0.3％（95％置信区间0.28-0.41），分别。男性和失业者与当前PD的几率大大降低。老人,城市地铁,已婚/分居组与当前PD的几率明显更高。最常见的共患精神疾病是广场恐惧症（42.3％）和抑郁症（30.9％），其次是广泛性焦虑症（10％）。在过去1个月中，三个领域的当前PD的受访者中，约80%有任何严重程度的残疾,20%-25%有明显的残疾.当前PD的总体治疗差距为71.7%。
■这是第一项报告来自印度普通人群的全国代表性样本的患病率的研究。这项调查揭示了流行病学和PD患者面临的挑战，强调了弥合治疗差距的紧迫性。这些发现对于制定更具包容性和有效性的精神卫生政策和干预措施以解决当前由PD造成的负担至关重要。
■2016年全国心理健康调查是对印度12个州的成年受访者进行的具有全国代表性的流行病学调查。迷你国际神经精神访谈6.0.0用于诊断精神疾病。使用Sheehan残疾量表评估残疾。估计当前PD的加权患病率。PD与其社会人口统计学相关性之间的关联是使用Firth惩罚逻辑回归进行的。还计算了PD的治疗差距和残疾。
■PD的寿命和当前加权患病率分别为0.5％（95％置信区间0.49-0.52）和0.3％（95％置信区间0.28-0.41），分别。男性和失业者与当前PD的几率大大降低。老人,城市地铁,已婚/分居组与当前PD的几率明显更高。最常见的共患精神疾病是广场恐惧症（42.3％）和抑郁症（30.9％），其次是广泛性焦虑症（10％）。在过去1个月中，三个领域的当前PD的受访者中，约80%有任何严重程度的残疾,20%-25%有明显的残疾.当前PD的总体治疗差距为71.7%。
■这是第一项报告来自印度普通人群的全国代表性样本的患病率的研究。这项调查揭示了流行病学和PD患者面临的挑战，强调了弥合治疗差距的紧迫性。这些发现对于制定更具包容性和有效性的精神卫生政策和干预措施以解决当前由PD造成的负担至关重要。
