Wei Yu1, Shikha Satendra Singh2, Shawna Calhoun3, Hui Zhang4, Xiahong Zhao2, Fengchi Yang5. 1. School of Health Management and Education, Capital Medical University, Beijing, China; Medical Affairs, Pfizer Investment Co., Ltd, Beijing, China. 2. Real World Evidence and Market Access, Kantar Health, Singapore, Singapore. 3. Health Outcomes, Kantar Health, Horsham, PA, USA. 4. School of Health Management and Education, Capital Medical University, Beijing, China. 5. School of Health Management and Education, Capital Medical University, Beijing, China. Electronic address: 1519488154@qq.com.
Abstract
INTRODUCTION: Limited published research has quantified the Generalized Anxiety Disorder (GAD) prevalence and its burden in China. This study aimed to fill in the knowledge gap and to evaluate the burden of GAD among adults in urban China. METHODS: This study utilized existing data from the China National Health and Wellness Survey (NHWS) 2012-2013. Prevalence of self-reported diagnosed and undiagnosed GAD was estimated. Diagnosed and undiagnosed GAD respondents were compared with non-anxious respondents in terms of health-related quality of life (HRQoL), resource utilization, and work productivity and activity impairment using multivariate generalized linear models. A multivariate logistic model assessed the risk factors for GAD. RESULTS: The prevalence of undiagnosed/diagnosed GAD was 5.3% in urban China with only 0.5% of GAD respondents reporting a diagnosis. Compared with non-anxious respondents, both diagnosed and undiagnosed GAD respondents had significantly lower HRQoL, more work productivity and activity impairment, and greater healthcare resource utilization in the past six months. Age, gender, marital status, income level, insurance status, smoking, drinking and exercise behaviors, and comorbidity burdens were significantly associated with GAD. LIMITATIONS: This was a patient-reported study; data are therefore subject to recall bias. The survey was limited to respondents in urban China; therefore, these results focused on urban China and may be under- or over-estimating GAD prevalence in China. Causal inferences cannot be made given the cross-sectional nature of the study. CONCLUSIONS: GAD may be substantially under-diagnosed in urban China. More healthcare resources should be invested to alleviate the burden of GAD.
INTRODUCTION: Limited published research has quantified the Generalized Anxiety Disorder (GAD) prevalence and its burden in China. This study aimed to fill in the knowledge gap and to evaluate the burden of GAD among adults in urban China. METHODS: This study utilized existing data from the China National Health and Wellness Survey (NHWS) 2012-2013. Prevalence of self-reported diagnosed and undiagnosed GAD was estimated. Diagnosed and undiagnosed GAD respondents were compared with non-anxious respondents in terms of health-related quality of life (HRQoL), resource utilization, and work productivity and activity impairment using multivariate generalized linear models. A multivariate logistic model assessed the risk factors for GAD. RESULTS: The prevalence of undiagnosed/diagnosed GAD was 5.3% in urban China with only 0.5% of GAD respondents reporting a diagnosis. Compared with non-anxious respondents, both diagnosed and undiagnosed GAD respondents had significantly lower HRQoL, more work productivity and activity impairment, and greater healthcare resource utilization in the past six months. Age, gender, marital status, income level, insurance status, smoking, drinking and exercise behaviors, and comorbidity burdens were significantly associated with GAD. LIMITATIONS: This was a patient-reported study; data are therefore subject to recall bias. The survey was limited to respondents in urban China; therefore, these results focused on urban China and may be under- or over-estimating GAD prevalence in China. Causal inferences cannot be made given the cross-sectional nature of the study. CONCLUSIONS: GAD may be substantially under-diagnosed in urban China. More healthcare resources should be invested to alleviate the burden of GAD.
Authors: Le Shi; Zheng-An Lu; Jian-Yu Que; Xiao-Lin Huang; Lin Liu; Mao-Sheng Ran; Yi-Miao Gong; Kai Yuan; Wei Yan; Yan-Kun Sun; Jie Shi; Yan-Ping Bao; Lin Lu Journal: JAMA Netw Open Date: 2020-07-01
Authors: Simone Eliane Schwank; Ewa Andersson; Birgitta Wickberg; Shih-Chien Fu; Yan Ding; Helena Lindgren Journal: Health Psychol Open Date: 2020-02-06