| Factor Information | |
|---|---|
| Data ID | 1676 |
| Factor | Occupation |
| Description | There were significant differences in the gender of children, occupation of the mothers, family history with CHD, history of abortion, history of adverse pregnancy, early pregnancy health, fetus during pregnancy, pesticide exposure and drug exposure in two groups (P < 0.05 for both comparisons). |
| Biomarker | NA |
| Classification | F6 (psychosocial factor - other) |
| Association | |
|---|---|
| Application | risk assessment |
| Objective | The aim of this study is to evaluate the relevant risk-factors of children with CHD and their mothers. |
| p Value | <0.001 |
| Conclusion | There were significant differences in the gender of children, occupation of the mothers, family history with CHD, history of abortion, history of adverse pregnancy, early pregnancy health, fetus during pregnancy, pesticide exposure and drug exposure in two groups (P < 0.05 for both comparisons). |
| Risk Factor | unknown |
| CHD Type | |
|---|---|
| ID | 148 |
| CHD Type | NA |
| CHD Subtype | NA |
| Reference | |
|---|---|
| PMID | 26035828 |
| Year | 2015 |
| Title | Study on Environmental Causes and SNPs of MTHFR, MS and CBS Genes Related to Congenital Heart Disease |
| Sample | ||
|---|---|---|
| Population | mothers | |
| Source | questionnaire | |
| Region | Nanjing, China | |
| Method | relevant risk-factors of children with CHD and their mothers | |
| Race | Asian | |
| Disease History | History of CHD/abortion/adverse pregnancy | |
| Treatment History | N/A | |
| Group | mother of CHD children(Treatment) | mother of control children(Control) |
| Number | Farmer 34 ;Worker 36; Server 17 ; Businessman 12;Government worker 3 ;Others 55 | Farme92 ;Worker 27 ; Server ; Businessman14; Government worker 3; Others 37 |
| Age | 26.16±4.69 years | 25.39±3.28 years |
| Gender (Male: Female) | 0:100% | 0:100% |
| Marker Level | Farmer34 (21.66%) ;Worker36 (22.93%); Server 17 (10.83%); Businessman 12(7.64%) ;Government worker 3(1.91%) ;Others 55 (35.03%) | Farme92 (51.99%) ;Worker 27 (15.25%); Server 4(2.26%); Businessman14(7.91%); Government worker 3(1.69%); Others 37(20.90%) |