PDF(Pubmed)
Abstract：
UNASSIGNED: Schizophrenia spectrum disorders represent a significant global health concern, contributing significantly to the global burden of disease. The National Mental Health Survey (NMHS) of India, conducted between 2015 and 2016, investigated the prevalence and epidemiological correlates of schizophrenia spectrum disorders in India.
UNASSIGNED: The NMHS conducted a population-based cross-sectional study in 12 Indian states from 2015 to 2016, encompassing 34,802 adults. The overall study design of the NMHS was a multistage, stratified, random cluster sampling technique, incorporating random selection based on probability proportion to size at each stage. The Mini-International Neuropsychiatric Interview 6.0 was used for psychiatric diagnoses, disability was assessed using Sheehan\'s disability scale, and the illness-related socioeconomic impact was assessed using a questionnaire based on the World Health Organization Disability Assessment Schedule 2.0. Firth penalized logistic regression was employed to understand the correlates of current schizophrenia spectrum disorder.
UNASSIGNED: The study found a lifetime prevalence of schizophrenia spectrum disorders at 1.41%, with a current prevalence of 0.42%. A substantial treatment gap of 72% existed for current cases, rising to 83.3% in urban non-metro areas. The penalized logistic regression revealed that the age group category of 30-49 years, unemployed status, and lower education level had higher odds of association with schizophrenia spectrum disorders.
UNASSIGNED: The primary finding of this study is a lifetime prevalence of 1.41%, a current prevalence of 0.42%, and a substantial treatment gap of 72%. Addressing this treatment gap and holistic intervention is crucial for reducing the socioeconomic impact of this disorder. Strengthening the National Mental Health Program and implementing community-based rehabilitation are essential first steps in this direction.
UNASSIGNED: The NMHS conducted a population-based cross-sectional study in 12 Indian states from 2015 to 2016, encompassing 34,802 adults. The overall study design of the NMHS was a multistage, stratified, random cluster sampling technique, incorporating random selection based on probability proportion to size at each stage. The Mini-International Neuropsychiatric Interview 6.0 was used for psychiatric diagnoses, disability was assessed using Sheehan\'s disability scale, and the illness-related socioeconomic impact was assessed using a questionnaire based on the World Health Organization Disability Assessment Schedule 2.0. Firth penalized logistic regression was employed to understand the correlates of current schizophrenia spectrum disorder.
UNASSIGNED: The study found a lifetime prevalence of schizophrenia spectrum disorders at 1.41%, with a current prevalence of 0.42%. A substantial treatment gap of 72% existed for current cases, rising to 83.3% in urban non-metro areas. The penalized logistic regression revealed that the age group category of 30-49 years, unemployed status, and lower education level had higher odds of association with schizophrenia spectrum disorders.
UNASSIGNED: The primary finding of this study is a lifetime prevalence of 1.41%, a current prevalence of 0.42%, and a substantial treatment gap of 72%. Addressing this treatment gap and holistic intervention is crucial for reducing the socioeconomic impact of this disorder. Strengthening the National Mental Health Program and implementing community-based rehabilitation are essential first steps in this direction.
摘要：
■精神分裂症谱系障碍是一个重要的全球健康问题，对全球疾病负担做出重大贡献。印度国家心理健康调查（NMHS）2015年至2016年，调查了印度精神分裂症谱系障碍的患病率和流行病学相关性。
■NMHS于2015年至2016年在印度12个州进行了一项基于人群的横断面研究，涵盖34,802名成年人。NMHS的整体研究设计是一个多阶段的，分层，随机整群抽样技术，在每个阶段纳入基于概率与大小比例的随机选择。迷你国际神经精神病学访谈6.0用于精神病学诊断，残疾使用Sheehan的残疾量表进行评估，使用基于世界卫生组织残疾评估表2.0的问卷评估疾病相关的社会经济影响。采用Firth惩罚逻辑回归来了解当前精神分裂症谱系障碍的相关性。
■研究发现，精神分裂症谱系障碍的终生患病率为1.41%，目前患病率为0.42%。目前病例存在72%的实质性治疗差距，在城市非地铁地区上升到83.3%。惩罚逻辑回归显示，30-49岁的年龄组，失业状况,较低的教育水平与精神分裂症谱系障碍相关的几率较高。
■这项研究的主要发现是终生患病率为1.41%，目前的患病率为0.42%，和72％的实质性治疗差距。解决这一治疗差距和整体干预对于减少这种疾病的社会经济影响至关重要。加强国家精神卫生方案和实施社区康复是朝着这个方向迈出的重要第一步。
■NMHS于2015年至2016年在印度12个州进行了一项基于人群的横断面研究，涵盖34,802名成年人。NMHS的整体研究设计是一个多阶段的，分层，随机整群抽样技术，在每个阶段纳入基于概率与大小比例的随机选择。迷你国际神经精神病学访谈6.0用于精神病学诊断，残疾使用Sheehan的残疾量表进行评估，使用基于世界卫生组织残疾评估表2.0的问卷评估疾病相关的社会经济影响。采用Firth惩罚逻辑回归来了解当前精神分裂症谱系障碍的相关性。
■研究发现，精神分裂症谱系障碍的终生患病率为1.41%，目前患病率为0.42%。目前病例存在72%的实质性治疗差距，在城市非地铁地区上升到83.3%。惩罚逻辑回归显示，30-49岁的年龄组，失业状况,较低的教育水平与精神分裂症谱系障碍相关的几率较高。
■这项研究的主要发现是终生患病率为1.41%，目前的患病率为0.42%，和72％的实质性治疗差距。解决这一治疗差距和整体干预对于减少这种疾病的社会经济影响至关重要。加强国家精神卫生方案和实施社区康复是朝着这个方向迈出的重要第一步。
