Collins Erin, Edjoc Rojiemiahd, Farrow Amy, Dharma Christoffer, Georgiades Stelios, Holmes Kieran, Orchard Christa, O'Donnell Siobhan, Palmeter Sarah, Salt Mackenzie, Al-Jaishi Ahmed
Centre for Surveillance and Applied Research, Health Promotion and Chronic Disease Prevention (HPCDP) Branch, Public Health Agency of Canada, Ottawa, Ontario, Canada
School of Epidemiology and Public Health, University of Ottawa Faculty of Medicine, Ottawa, Ontario, Canada.
BMJ Open. 2025 Jun 24;15(6):e089414. doi: 10.1136/bmjopen-2024-089414.
To estimate the prevalence of autism among adults living in Canada.
A Monte Carlo simulation modelling approach was employed. Input parameters included adult population estimates and mortality rates; autism population all-cause mortality risk ratios; and autism prevalence estimates derived from child and youth data due to the lack of adult data. This approach was executed through 10 000 simulations, with each iteration generating a distinct data scenario. Prevalence estimates were reported as the mean with the 2.5th and 97.5th percentiles, corresponding to a 95% simulation interval (SI).
Where possible, Canadian data sources were used, including the 2019 Canadian Health Survey on Children and Youth and Statistics Canada mortality rates and population estimates.
National prevalence estimates of autistic adults living in private dwellings in Canada, with variations in prevalence by sex at birth and province/territory considered.
The findings suggest the prevalence of autism among adults in Canada to be 1.8% (95% SI 1.6%, 2.0%). National prevalence estimates by sex at birth were 0.7% (95% SI 0.6%, 0.9%) for females and 2.9% (95% SI 2.6%, 3.2%) for males. Provincial/territorial estimates ranged from 0.7% in Saskatchewan (95% SI 0.3%, 1.3%) to 3.6% in New Brunswick (95% SI 2.4%, 5.1%).
The limited availability of data on autistic adults constrains our ability to fully understand and address their unique needs. In this study, autism prevalence was estimated based on diagnosed cases, which excludes individuals without a formal diagnosis. Additionally, other factors such as data availability and methodological assumptions may influence the modelling of prevalence estimates. As a result, our findings should be interpreted within the context of these limitations. Nevertheless, this study provides a valuable reference point for understanding autism prevalence among adults in Canada.
评估居住在加拿大的成年人中自闭症的患病率。
采用蒙特卡洛模拟建模方法。输入参数包括成年人口估计数和死亡率;自闭症人群全因死亡率风险比;以及由于缺乏成人数据而从儿童和青少年数据得出的自闭症患病率估计值。该方法通过10000次模拟执行,每次迭代生成一个独特的数据场景。患病率估计值报告为均值以及第2.5百分位数和第97.5百分位数,对应95%模拟区间(SI)。
尽可能使用加拿大的数据来源,包括2019年加拿大儿童和青少年健康调查以及加拿大统计局的死亡率和人口估计数。
加拿大居住在私人住宅中的自闭症成年人的全国患病率估计值,考虑出生时性别和省份/地区的患病率差异。
研究结果表明,加拿大成年人中自闭症的患病率为1.8%(95% SI 1.6%,2.0%)。按出生时性别划分的全国患病率估计值,女性为0.7%(95% SI 0.6%,0.9%),男性为2.9%(95% SI 2.6%,3.2%)。省级/地区估计值范围从萨斯喀彻温省的0.7%(95% SI 0.3%,1.3%)到新不伦瑞克省的3.6%(95% SI 2.4%,5.1%)。
自闭症成年人数据的有限可用性限制了我们充分了解和满足其独特需求的能力。在本研究中,自闭症患病率是基于确诊病例估计的,这排除了未正式诊断的个体。此外,数据可用性和方法学假设等其他因素可能会影响患病率估计值的建模。因此,我们的研究结果应在这些局限性的背景下进行解释。尽管如此,本研究为了解加拿大成年人中自闭症的患病率提供了有价值的参考点。