ArticleBMJ open2017
Study of depression influencing factors with zero-inflated regression models in a large-scale population survey.
Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Effects of genetic risk for depression and household socioeconomic status on emotional behavior and brain development in early adolescence.Developmental cognitive neuroscience · 2026Article
- Rational evaluation of computed tomography scans using a risk-adjusted model in a comprehensive public tertiary hospital in China.Frontiers in health services · 2026Article
- Air pollution and age-dependent changes in emotional behavior across early adolescence in the U.S.Environmental research · 2024Article
- Healthy Aging at Family Mealtimes: Associations of Clean Cooking, Protein Intake, and Dining Together with Mental Health of Chinese Older Adults amid COVID-19 Pandemic.International journal of environmental research and public health · 2023Article
- COVID-19 government measures and their impact on mental health: a cross-sectional study of older primary care patients in Germany.Frontiers in public health · 2023Article
- Randomized quantile residuals for diagnosing zero-inflated generalized linear mixed models with applications to microbiome count data.BMC bioinformatics · 2021Article
- National Norms and Correlates of the PHQ-8 and GAD-7 in Parents of School-age Children.Journal of child and family studies · 2021Article
- Association of Race and Ethnicity With Late-Life Depression Severity, Symptom Burden, and Care.JAMA network open · 2020Article
- Problems paying medical bills and mental health symptoms post-Affordable Care Act.AIMS public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe number of depression symptoms can be considered as count data in order to get complete and accurate analyses findings in studies of depression. This study aims to compare the goodness of fit of four count outcomes models by a large survey sample to identify the optimum model for a risk factor study of the number of depression symptoms.
methods15 820 subjects, aged 10 to 80 years old, who were not suffering from serious chronic diseases and had not run a high fever in the past 15 days, agreed to take part in this survey; 15 462 subjects completed all the survey scales. The number of depression symptoms was the sum of the 'positive' responses of seven depression questions. Four count outcomes models and a logistic model were constructed to identify the optimum model of the number of depression symptoms.
resultsThe mean number of depression symptoms was 1.37±1.55. The over-dispersion test statistic
conclusionsAll fitting test statistics and the predictive probability curve produced the same findings that the ZINB model was the best model for fitting the number of depression symptoms, assessing both the presence or absence of depression and its severity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.