Social factors and trisomy frequencySocial factors and trisomy frequencySocial factors and trisomy frequencySocial factors and trisomy frequencySocial factors and trisomy frequency

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Social factors and trisomy frequency

Dr.Danielius Serapinas, Paulina Radimonaitė, Martynas Jankus, Augustinas Tumėnas,

 Lithuanian Health Sciences University

ABSTRACT

AIM: To evaluate impact of social factors for trisomy occurrence.

Material and Methods:  In selective A group parents with determined genetic trisomy disorders were included also those, which child had trisomy. B group was formed from parents (n=30) without determined genetic trisomy were included into study. During retrospective research we analyzed several data as: age, profession, environment negative work factors, count of marriages, pregnancy planning facts.

Results:  Control A group contained 19 cases with Down syndrome while pregnancy was planned, 4 not planned;Terner syndrome 1 planned case; Klainfelter was determined  for 5 planned pregnancy`s, Sex chromosome aneuploidy (XXXY) was determined at 1 planned pregnancy case. Statistically significant relation between planning of pregnancy and occurrence of trisomy was determined p<0,05. Mean age of pregnant females which outcome of fetuses was trisomy: 30 ± 5,4. Mean age of males which outcome of fetuses was trisomy: 34 ± 6,9 . Statistically significant difference between female`s age and incidence of trisomy was determined (p<0,0001); Statistically significant difference between male`s age and incidence of trisomy was determined (p<0,0001);

Conclusion: Planning of pregnancy has impact for incidence of trisomy. Greater age of females relates with occurrence of trisomy. Greater age of males relates with occurrence of trisomy. The statistically significant difference between professions, environment negative factors, counters of marriages and incidence of trisomies.

Social factors and trisomy frequency

Dr.Danielius Serapinas, Paulina Radimonaitė, Martynas Jankus, Augustinas Tumėnas,

 Lithuanian Health Sciences University

ABSTRACT

AIM: To evaluate impact of social factors for trisomy occurrence.

Material and Methods:  In selective A group parents with determined genetic trisomy disorders were included also those, which child had trisomy. B group was formed from parents (n=30) without determined genetic trisomy were included into study. During retrospective research we analyzed several data as: age, profession, environment negative work factors, count of marriages, pregnancy planning facts.

Results:  Control A group contained 19 cases with Down syndrome while pregnancy was planned, 4 not planned;Terner syndrome 1 planned case; Klainfelter was determined  for 5 planned pregnancy`s, Sex chromosome aneuploidy (XXXY) was determined at 1 planned pregnancy case. Statistically significant relation between planning of pregnancy and occurrence of trisomy was determined p<0,05. Mean age of pregnant females which outcome of fetuses was trisomy: 30 ± 5,4. Mean age of males which outcome of fetuses was trisomy: 34 ± 6,9 . Statistically significant difference between female`s age and incidence of trisomy was determined (p<0,0001); Statistically significant difference between male`s age and incidence of trisomy was determined (p<0,0001);

Conclusion: Planning of pregnancy has impact for incidence of trisomy. Greater age of females relates with occurrence of trisomy. Greater age of males relates with occurrence of trisomy. The statistically significant difference between professions, environment negative factors, counters of marriages and incidence of trisomies.ABSTRACT:

AIM: To evaluate impact of social factors for trisomy occurrence.

Material and Methods:  In selective A group parents with determined genetic trisomy disorders were included also those, which child had trisomy. B group was formed from parents (n=30) without determined genetic trisomy were included into study. During retrospective research we analyzed several data as: age, profession, environment negative work factors, count of marriages, pregnancy planning facts.

Results:  Control A group contained 19 cases with Down syndrome while pregnancy was planned, 4 not planned;Terner syndrome 1 planned case; Klainfelter was determined  for 5 planned pregnancy`s, Sex chromosome aneuploidy (XXXY) was determined at 1 planned pregnancy case. Statistically significant relation between planning of pregnancy and occurrence of trisomy was determined p<0,05. Mean age of pregnant females which outcome of fetuses was trisomy: 30 ± 5,4. Mean age of males which outcome of fetuses was trisomy: 34 ± 6,9 . Statistically significant difference between female`s age and incidence of trisomy was determined (p<0,0001); Statistically significant difference between male`s age and incidence of trisomy was determined (p<0,0001);

Conclusion: Planning of pregnancy has impact for incidence of trisomy. Greater age of females relates with occurrence of trisomy. Greater age of males relates with occurrence of trisomy. The statistically significant difference between professions, environment negative factors, counters of marriages and incidence of trisomies.

Social factors and trisomy frequency

Dr.Danielius Serapinas, Paulina Radimonaitė, Martynas Jankus, Augustinas Tumėnas,

 Lithuanian Health Sciences University

ABSTRACT

AIM: To evaluate impact of social factors for trisomy occurrence.

Material and Methods:  In selective A group parents with determined genetic trisomy disorders were included also those, which child had trisomy. B group was formed from parents (n=30) without determined genetic trisomy were included into study. During retrospective research we analyzed several data as: age, profession, environment negative work factors, count of marriages, pregnancy planning facts.

Results:  Control A group contained 19 cases with Down syndrome while pregnancy was planned, 4 not planned;Terner syndrome 1 planned case; Klainfelter was determined  for 5 planned pregnancy`s, Sex chromosome aneuploidy (XXXY) was determined at 1 planned pregnancy case. Statistically significant relation between planning of pregnancy and occurrence of trisomy was determined p<0,05. Mean age of pregnant females which outcome of fetuses was trisomy: 30 ± 5,4. Mean age of males which outcome of fetuses was trisomy: 34 ± 6,9 . Statistically significant difference between female`s age and incidence of trisomy was determined (p<0,0001); Statistically significant difference between male`s age and incidence of trisomy was determined (p<0,0001);

Conclusion: Planning of pregnancy has impact for incidence of trisomy. Greater age of females relates with occurrence of trisomy. Greater age of males relates with occurrence of trisomy. The statistically significant difference between professions, environment negative factors, counters of marriages and incidence of trisomies.

Social factors and trisomy frequency

Dr.Danielius Serapinas, Paulina Radimonaitė, Martynas Jankus, Augustinas Tumėnas,

 Lithuanian Health Sciences University

ABSTRACT

AIM: To evaluate impact of social factors for trisomy occurrence.

Material and Methods:  In selective A group parents with determined genetic trisomy disorders were included also those, which child had trisomy. B group was formed from parents (n=30) without determined genetic trisomy were included into study. During retrospective research we analyzed several data as: age, profession, environment negative work factors, count of marriages, pregnancy planning facts.

Results:  Control A group contained 19 cases with Down syndrome while pregnancy was planned, 4 not planned;Terner syndrome 1 planned case; Klainfelter was determined  for 5 planned pregnancy`s, Sex chromosome aneuploidy (XXXY) was determined at 1 planned pregnancy case. Statistically significant relation between planning of pregnancy and occurrence of trisomy was determined p<0,05. Mean age of pregnant females which outcome of fetuses was trisomy: 30 ± 5,4. Mean age of males which outcome of fetuses was trisomy: 34 ± 6,9 . Statistically significant difference between female`s age and incidence of trisomy was determined (p<0,0001); Statistically significant difference between male`s age and incidence of trisomy was determined (p<0,0001);

Conclusion: Planning of pregnancy has impact for incidence of trisomy. Greater age of females relates with occurrence of trisomy. Greater age of males relates with occurrence of trisomy. The statistically significant difference between professions, environment negative factors, counters of marriages and incidence of trisomies.