Who Should Be Targeted for the Prevention of Birth Defects? A Latent Class Analysis Based on a Large, Population-Based, Cross-Sectional Study in Shaanxi Province, Western China
Publication Date
May 16, 2016
Journal
PLOS ONE
Authors
Zhonghai Zhu, Yue Cheng, Wenfang Yang, Danyang Li, et al
Volume
11
Issue
5
Pages
e0155587
DOI
https://dx.plos.org/10.1371/journal.pone.0155587
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0155587
Scopus
84969718899
Mendeley
http://www.mendeley.com/research/targeted-prevention-birth-defects-latent-class-analysis-based-large-populationbased-crosssectional-s-1
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Mendeley | Further Information

{"title"=>"Who Should Be Targeted for the Prevention of Birth Defects? A Latent Class Analysis Based on a Large, Population-Based, Cross-Sectional Study in Shaanxi Province, Western China", "type"=>"journal", "authors"=>[{"first_name"=>"Zhonghai", "last_name"=>"Zhu", "scopus_author_id"=>"56015559000"}, {"first_name"=>"Yue", "last_name"=>"Cheng", "scopus_author_id"=>"21233579800"}, {"first_name"=>"Wenfang", "last_name"=>"Yang", "scopus_author_id"=>"55536426100"}, {"first_name"=>"Danyang", "last_name"=>"Li", "scopus_author_id"=>"57189350986"}, {"first_name"=>"Xue", "last_name"=>"Yang", "scopus_author_id"=>"57189357013"}, {"first_name"=>"Danli", "last_name"=>"Liu", "scopus_author_id"=>"57189348914"}, {"first_name"=>"Min", "last_name"=>"Zhang", "scopus_author_id"=>"57189351781"}, {"first_name"=>"Hong", "last_name"=>"Yan", "scopus_author_id"=>"57188677927"}, {"first_name"=>"Lingxia", "last_name"=>"Zeng", "scopus_author_id"=>"7401904324"}], "year"=>2016, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84969718899", "doi"=>"10.1371/journal.pone.0155587", "pui"=>"610398111", "pmid"=>"27183231", "scopus"=>"2-s2.0-84969718899", "issn"=>"19326203"}, "id"=>"77d8b30e-9ecd-3ecc-bf85-7364b5010862", "abstract"=>"BACKGROUND The wide range and complex combinations of factors that cause birth defects impede the development of primary prevention strategies targeted at high-risk subpopulations. METHODS Latent class analysis (LCA) was conducted to identify mutually exclusive profiles of factors associated with birth defects among women between 15 and 49 years of age using data from a large, population-based, cross-sectional study conducted in Shaanxi Province, western China, between August and October, 2013. The odds ratios (ORs) and 95% confidence intervals (CIs) of associated factors and the latent profiles of indicators of birth defects and congenital heart defects were computed using a logistic regression model. RESULTS Five discrete subpopulations of participants were identified as follows: No folic acid supplementation in the periconceptional period (reference class, 21.37%); low maternal education level + unhealthy lifestyle (class 2, 39.75%); low maternal education level + unhealthy lifestyle + disease (class 3, 23.71%); unhealthy maternal lifestyle + advanced age (class 4, 4.71%); and multi-risk factor exposure (class 5, 10.45%). Compared with the reference subgroup, the other subgroups consistently had a significantly increased risk of birth defects (ORs and 95% CIs: class 2, 1.75 and 1.21-2.54; class 3, 3.13 and 2.17-4.52; class 4, 5.02 and 3.20-7.88; and class 5, 12.25 and 8.61-17.42, respectively). For congenital heart defects, the ORs and 95% CIs were all higher, and the magnitude of OR differences ranged from 1.59 to 16.15. CONCLUSIONS A comprehensive intervention strategy targeting maternal exposure to multiple risk factors is expected to show the strongest results in preventing birth defects.", "link"=>"http://www.mendeley.com/research/targeted-prevention-birth-defects-latent-class-analysis-based-large-populationbased-crosssectional-s-1", "reader_count"=>12, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>2, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>1, "Student > Master"=>3, "Student > Bachelor"=>2, "Lecturer"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>2, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>1, "Student > Master"=>3, "Student > Bachelor"=>2, "Lecturer"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Nursing and Health Professions"=>1, "Medicine and Dentistry"=>5, "Business, Management and Accounting"=>1, "Psychology"=>1, "Social Sciences"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>5}, "Social Sciences"=>{"Social Sciences"=>2}, "Psychology"=>{"Psychology"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Unspecified"=>{"Unspecified"=>2}}, "group_count"=>1}

Scopus | Further Information

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