The relationship between maternal function and maternal attachment of women during the postpartum period

Author(s):  
Mine Oruç ◽  
Kamile Kukulu
Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5020
Author(s):  
Ramūnas Antanaitis ◽  
Dovilė Malašauskienė ◽  
Mindaugas Televičius ◽  
Vida Juozaitienė ◽  
Henrikas Žilinskas ◽  
...  

The aim of the current instant study was to evaluate relative at-line milk progesterone dynamic changes according to parity and status of reproduction and to estimate the relationship with productivity in dairy cows by at-line milk analysis system Herd NavigatorTM. According to the progesterone assay, experimental animals were divided into three periods: postpartum, after insemination, and pregnancy. In the first stage of the postpartum period, progesterone levels in milk were monitored every 5 days. This period of reproductive cycle recovery was followed for 30 days (days 0–29). The second stage of the postpartum period (30–65 days) lasted until cows were inseminated. In the period (0–45 days) after cow insemination, progesterone levels were distributed according to whether or not cows became pregnant. For milk progesterone detection, the fully automated real-time progesterone analyzer Herd NavigatorTM (Lattec I/S, Hillerød, Denmark) was used in combination with a DeLaval milking robot (DeLaval Inc., Tumba, Sweden). We found that an at-line progesterone concentration is related to different parities, reproductive statuses, and milk yield of cows: the 12.88% higher concentration of progesterone in milk was evaluated in primiparous cows. The average milk yield in non-pregnant primiparous cows was 4.64% higher, and in non-pregnant multiparous cows 6.87% higher than in pregnant cows. Pregnancy success in cows can be predicted 11–15 days after insemination, when a significant increase in progesterone is observed in the group of pregnant cows.


Author(s):  
Ramunas Antanaitis ◽  
Dovilė Malašauskienė ◽  
Mindaugas Televičius ◽  
Vida Juozaitiene ◽  
Henrikas Žilinskas ◽  
...  

The aim of the instant study was to evaluate relative inline progesterone dynamic changes according to parity and status of reproduction and to estimate the relationship with productivity in dairy cows by inline milk analysis system (IMAS) Herd Navigator. According to a progesterone assay, cows were divided into three periods: postpartum, after insemination, and pregnancy. In the first stage of the postpartum period (0-29 days), the progesterone level in milk was monitored every 6 days. The second stage of the postpartum period (30-65 days) lasted until cows were inseminated. In the third period (0-45 days) after cows were inseminated, progesterone scores were distributed according to whether or not cows became pregnant. The stability of progesterone dynamics was monitored in the last study period (45-90 days). For milk progesterone detection, the fully automated real-time progesterone analyzer Herd Navigator (Lattec I/S. Hillerød. Denmark) was used in combination with a DeLaval milking robot (DeLaval Inc., Tumba, Sweden). The highest progesterone concentration in multiparous cows ranged from 1.08% (11-17 days postpartum) to 34.89% higher than that in cows of the first parity. The lowest progesterone concentrations in the milk of all cows were estimated during the first 5 postpartum days and between 18 and 23 days after calving. Peak milk progesterone concentrations were evaluated in the first stage of the experiment on days 24-29 after calving. In the 30-65-day period after calving, the level of milk progesterone was 2.02-2.08 times higher than that in the 24-29-day postpartum period. After insemination, the level of progesterone in milk increased by 10.77-22.54% compared with the level from cows on days 30-65 after calving. A higher (12.88%) concentration of progesterone in milk was evaluated in multiparous cows compared with that from cows of the first parity. In pregnant cows, milk progesterone within 0-45 days after insemination was 23.88% (in multiparous cows) and 32.54% (in primiparous cows) higher than that in non-pregnant cows. On days 31–35 after insemination, pregnant cows had higher milk progesterone levels, which can predict pregnancy success. According to our study results, we can suggest that an inline progesterone concentration determined by inline milk analysis system Herd Navigator and changes in its dynamics correlate with different reproductive statuses and milk yield of cows. Pregnant cows 11–15 days after insemination have higher milk progesterone levels, what positively, associated with a successful pregnancy.


2021 ◽  
Vol 8 (2) ◽  
pp. 49-53
Author(s):  
Adelina Fitri Tanjung ◽  
Etti Sudaryati ◽  
Jumirah .

Diet is the regulation of the amount and type of food with a description of nutritional status. Many factors influence the diet of postpartum mothers, namely knowledge and income. This study aims to determine the relationship between knowledge and income on the diet of postpartum mothers in South Tapanuli Regency. This type of research uses quantitative research with a cross-sectional research design. The population in this study were all postpartum mothers from 0-40 days ahead and the sample was taken by multistage random sampling so that there were 265 samples. Data were collected using interviews and 24 hours recall. The data analysis method used in this study was multivariate analysis. The results showed that there was a relationship between knowledge and diet (p<0.05), and there was a relationship between income and diet (p<0.05). Family participation, especially husbands, is needed to support the diet of postpartum mothers, and it is hoped that the role of health workers in providing information about eating patterns during the postpartum period is expected to increase a good diet in the next postpartum period Keywords: Knowledge, Income, Diet.


2021 ◽  
Vol 10 (4) ◽  
pp. 219-226
Author(s):  
Songul Duran ◽  
Serap Kaynak

Aim: Postpartum-specific anxiety is associated with impaired mother-infant attachment, postpartum depression, reduced probability of breastfeeding, increased risk of infant abuse, and increased probability of anxiety in children and may lead to psychological, cognitive, and psycho-motor disorders in child development. This descriptive and cross-sectional study aims to determine the effect of anxiety level in the postpartum period in women on maternal attachment. Methods: The participants were 384 postpartum women who have a 1-3-month old baby. Data were collected using a personal information form, Postpartum Specific Anxiety Scale, and Maternal Attachment Inventory. Results: It was found that the Postpartum Specific Anxiety Scale in women was at a medium level, while maternal attachment was at a high level. While the Postpartum Specific Anxiety Scale was at higher levels in those who were younger, unemployed, and had no other children, the younger age of the partner increased the Postpartum Specific Anxiety Scale score. No statistically significant relationship was found between Postpartum Specific Anxiety Scale and maternal attachment. Conclusion: It is seen that to evaluate women in terms of anxiety in the postpartum period and to provide the necessary psychosocial support is necessary. The fact that maternal attachment in women was high may have had a positive effect on her relationship with postpartum anxiety. Keywords: postpartum, anxiety, children, bonding


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