Grażyna Pazera

Dr. Grażyna Pazera


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
3 December 2018 in BMC Pregnancy and Childbirth
Verified
Journal Article
Open access
PDF file
ESEdyta Suliga
Edyta Suliga
WRWojciech Rokita
Wojciech Rokita
OAOlga Adamczyk-Gruszka
Olga Adamczyk-Gruszka
GPGrażyna Pazera
Grażyna Pazera
ECElżbieta Cieśla
Elżbieta Cieśla
SGStanislaw Gluszek
Stanislaw Gluszek
The aim of this study was to describe the dietary patterns in pregnant women and determine the association between diet factors, pre-pregnancy body mass index, socio-demographic characteristics and gestational weight gain. The analysis was conducted on a group of 458 women. Cut-off values of gestational weight gain adequacy were based on recommendations published by the US Institute of Medicine and were body mass index-specific. Logistic regression analysis was used to assess the risk of the occurrence of inadequate or excessive gestational weight gain. Dietary patterns were identified by factor analysis. Three dietary patterns characteristic of pregnant women in Poland were identified: ‘unhealthy’, ‘varied’ and ‘prudent’. The factor associated with increased risk of inadequate gestational weight gain was being underweight pre-pregnancy (OR = 2.61; p = 0.018). The factor associated with increased risk of excessive weight gain were being overweight or obese pre-pregnancy (OR = 7.00; p = 0.031) and quitting smoking (OR = 7.32; p = 0.019). The risk of excessive weight gain was decreased by being underweight pre-pregnancy (OR = 0.20; p = 0.041), being in the third or subsequent pregnancy compared to being in the first (OR = 0.37; p = 0.018), and having a high adherence to a prudent dietary pattern (OR = 0.47; p = 0.033). Women who were overweight or obese pre-pregnancy and those who quit smoking at the beginning of pregnancy should be provided with dietary guidance to prevent excessive gestational weight gain.

12 June 2023 in Pediatric Reports
Verified
Journal Article
Open access
PDF file
GPGrażyna Pazera
Grażyna Pazera
MMMarta Młodawska
Marta Młodawska
KKKamila Kukulska
Kamila Kukulska
Jakub MlodawskiJakub Mlodawski
Jakub Mlodawski
Background: Psychomotor development is the most important outcome determining the proper growth and development of children. Optimizing childcare and modifying risk factors can provide the child with the best conditions to realize their developmental potential. The study aimed to assess the impact of the feeding method on the psychomotor development of full-term children at 12 months of age with Munich Functional Developmental Diagnostics (MFDD). Methods: The study included 242 full-term children who were examined at 12 months of age by a child neurologist using MFDD. The children were divided into two groups depending on the feeding method: breastfed (146) vs. formula-fed (93). We analysed selected obstetric and neonatal risk factors as well as MFDD scores within the groups. Results: The only axis on the MFDD scale on which we observed a difference between the groups was social skills. No differences were noted between the groups in the analysis of the gross and fine motor skills, with regard to perception or active and passive speech. Conclusions: The full-term, exclusively breastfed infants over their first 6 months of age or longer have greater social skills in comparison with the formula-fed infants when measured on the MFDD axis.

2 May 2021 in Pediatric Reports
Verified
Journal Article
Open access
PDF file
GPGrażyna Pazera
Grażyna Pazera
MMMarta Młodawska
Marta Młodawska
Jakub MlodawskiJakub Mlodawski
Jakub Mlodawski
KKKamila Klimowska
Kamila Klimowska
Objectives: Munich Functional Developmental Diagnosis (MFDD) is a scale for assessing the psychomotor development of children in the first months or years of life. The tool is based on standardized tables of physical development and is used to detect developmental deficits. It consists of eight axes on which the following skills are assessed: crawling, sitting, walking, grasping, perception, speaking, speech understanding, social skills. Methods: The study included 110 children in the first year of life examined with the MFDD by the same physician. The score obtained on a given axis was coded as a negative value (defined in months) below the child’s age-specific developmental level. Next, we examined the dimensionality of the scale and the intercorrelation of its axes using polychoric correlation and principal component analysis. Results: Correlation matrix analysis showed high correlation of MFDD axes 1–4, and MFDD 6–8. The PCA identified three principal components consisting of children’s development in the areas of large and small motor skills (axis 1–4), perception (axis 5), active speech, passive speech and social skills (axis 6–8). The three dimensions obtained together account for 80.27% of the total variance. Conclusions: MFDD is a three-dimensional scale that includes motor development, perception, and social skills and speech. There is potential space for reduction in the number of variables in the scale.