Factors associated with age of mother at first birth in Albania: application of quantile regression model

Talukder, Ashis; Khan, Zahidul; Khatun, Fatheha; Tahmida, Shafia

doi:10.1016/j.heliyon.2021.e06547

Cited by 7 publications

(4 citation statements)

References 16 publications

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“…Participants' age at menarche was found to be 12-13 years old in about less than half (43.9%) of the participants and more than 14 years old in (28.9%) of the participants, similar findings were reported in the parallel study which found that the mean age at menarche was found to be 12.4 years old [23]. Age at first live birth was found to be 20-24 in about half (50.5%) of the participants analogous findings were reported in a congruent study carried out by Talukder et al in which the mean maternal age at first life birth was found to be 22.38 years old [24]. Only 5% of the participants had a breast biopsy.…”

Section: Figure 2: Participants' Perception Of the Suitable Age For B...supporting

confidence: 86%

Awareness and Risk Assessment of Breast Cancer Among Women in Saudi Arabia: A Cross-Sectional Study

Alnaqrani,

Almuayrifi,

Alhumaidan

et al. 2024

Cureus

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BackgroundBreast cancer is the most common female cancer worldwide including in Saudi Arabia. As a result, many cases are diagnosed at an advanced stage, leading to a poor outcome. Understanding risk perception is a significant component of awareness of breast cancer risks. It can be helpful to reduce the mortality of breast cancer via increasing awareness of the risk factors. ObjectiveOur study was designed to assess the level of awareness among women in Saudi Arabia regarding breast cancer, including knowledge about risk factors, symptoms, and the importance of early detection. MethodsA cross-sectional study was conducted, and participants were randomly selected. The target population in this study is all women in Saudi Arabia. Data was collected via an online questionnaire. The collected data was analyzed using the Statistical Package for the Social Sciences (IBM SPSS Statistics for Windows, IBM Corp., Version 21.0, Armonk, NY). ResultsAbout 713 women were enrolled in this study. Most of them (69%) were within the age group of 35-45 years old. Age at menarche was found to be 12-13 years old in 313 (43.9%) of the participants and age at first live birth was found to be 20-24 in about 360 (50.5%). The number of population with first-degree relatives that have a history of breast cancer is one relative in 126 (17.7%) of the participants and about 36 (5%) had breast biopsy. About 76 (10.7%) of the participants were considered as having a high risk of breast cancer according to the estimated five-year breast cancer-risk assessment (had a five-year breast cancer risk >1.66%). The mean knowledge score of the participants about breast cancer was found to be 4.62 ± 1.86 out of 8. About 509 (71.4%) of the participants were considered to be having a good level of knowledge about breast cancer. Long-term hormone contraceptive use and older age can increase the chance of developing breast cancer as agreed on by 363 (50.9%) and 287 (40.3%) of the participants respectively. A total of 677 (95%) of the participants mentioned that early detection is important to survive breast cancer. And 639 (89.6%) of the participants think that breast cancer is treatable and about 288 (40.4%) think that the suitable age to start mammography is above 30 years old. ConclusionThere is a good general knowledge and awareness about breast cancer among study participants. There were few knowledge gaps regarding the effect of obesity, hormonal contraceptives and older age on the association with breast cancer. About 10% of the participants were found to be having high five-year breast cancer risk.

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Section: Figure 2: Participants' Perception Of the Suitable Age For B...supporting

confidence: 86%

Awareness and Risk Assessment of Breast Cancer Among Women in Saudi Arabia: A Cross-Sectional Study

Alnaqrani,

Almuayrifi,

Alhumaidan

et al. 2024

Cureus

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“…In addition, the QR model yielded more unbiased estimates for skewed data than the linear regression model [33]. Previous studies applied the QR model for exploring the contributing factor of the age of the mother at first birth and age at first marriage because of its non-normality nature [34][35][36]. Moreover, several researchers applied the QR model to examine the core socio-demographic factors of child nutritional status [37][38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Prevalence and determinants of wasting of under-5 children in Bangladesh: Quantile regression approach

Abdulla¹,

Rahman

2022

PLoS ONE

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Background Wasting is perhaps one of the signs of malnutrition that has been linked to the deaths of children suffering from malnutrition. As a result, understanding its correlations and drivers is critical. Using quantile regression analysis, this research aims to contribute to the discussion on under-5 malnutrition by analyzing the predictors of wasting in Bangladesh. Methods and materials The dataset was extracted from the 2017–18 Bangladesh demographic and health survey (BDHS) data. The weight-for-height (WHZ) z-score based anthropometric indicator was used in the study as the target variable. The weighted sample constitutes 8,334 children of under-5 years. However, after cleaning the missing values, the analysis is based on 8,321 children. Sequential quantile regression was used for finding the contributing factors. Results The findings of this study depict that the prevalence of wasting in children is about 8 percent and only approximately one percent of children are severely wasted in Bangladesh. Age, mother’s BMI, and parental educational qualification, are all major factors of the WHZ score of a child. The coefficient of the female child increased from 0.1 to 0.2 quantiles before dropping to 0.75 quantile. For a child aged up to three years, the coefficients have a declining tendency up to the 0.5 quantile, then an increasing trend. Children who come from the richest households had 16.3%, 3.6%, and 15.7% higher WHZ scores respectively than children come from the poorest households suggesting that the risk of severe wasting in children under the age of five was lower in children from the wealthiest families than in children from the poorest families. The long-term malnutrition indicator (wasting) will be influenced by the presence of various childhood infections and vaccinations. Furthermore, a family’s economic position is a key determinant in influencing a child’s WHZ score. Conclusions It is concluded that socioeconomic characteristics are correlated with the wasting status of a child. Maternal characteristics also played an important role to reduce the burden of malnutrition. Thus, maternal nutritional awareness might reduce the risk of malnutrition in children. Moreover, the findings disclose that to enrich the nutritional status of children along with achieving Sustainable Development Goal (SDG)-3 by 2030, a collaborative approach should necessarily be taken by the government of Bangladesh, and non-governmental organizations (NGOs) at the community level in Bangladesh.

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“…This might have a connection with maternal age at first birth, which is below 20 years in the Ethiopian context [ 64 ]. Thus, as maternal age at first birth increases the chance of school dropout is reduced and this paves the way to obtain vocational skills that improve the economic status of the mother, her child, and the family as well [ 65 ]. Nevertheless, there is ample evidence suggesting that women who are 35 years and above will have adverse maternal and fetal outcomes [ 41 , 66 ].…”

Section: Discussionmentioning

confidence: 99%

Timing of perinatal death; causes, circumstances, and regional variations among reviewed deaths in Ethiopia

et al. 2023

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Introduction Ethiopia is one of the countries facing a very high burden of perinatal death in the world. Despite taking several measures to reduce the burden of stillbirth, the pace of decline was not that satisfactory. Although limited perinatal mortality studies were conducted at a national level, none of the studies stressed the timing of perinatal death. Thus, this study is aimed at determining the magnitude and risk factors that are associated with the timing of perinatal death in Ethiopia. Methods National perinatal death surveillance data were used in the study. A total of 3814 reviewed perinatal deaths were included in the study. Multilevel multinomial analysis was employed to examine factors associated with the timing of perinatal death in Ethiopia. The final model was reported through the adjusted relative risk ratio with its 95% Confidence Interval, and variables with a p-value less than 0.05 were declared statistically significant predictors of the timing of perinatal death. Finally, a multi-group analysis was carried out to observe inter-regional variation among selected predictors. Result Among the reviewed perinatal deaths, 62.8% occurred during the neonatal period followed by intrapartum stillbirth, unknown time of stillbirth, and antepartum stillbirth, each contributing 17.5%,14.3%, and 5.4% of perinatal deaths, respectively. Maternal age, place of delivery, maternal health condition, antennal visit, maternal education, cause of death (infection and congenital and chromosomal abnormalities), and delay to decide to seek care were individual-level factors significantly associated with the timing of perinatal death. While delay reaching a health facility, delay to receive optimal care health facility, type of health facility and type region were provincial-level factors correlated with the timing of perinatal death. A statistically significant inter-regional variation was observed due to infection and congenital anomalies in determining the timing of perinatal death Conclusion Six out of ten perinatal deaths occurred during the neonatal period, and the timing of perinatal death was determined by neonatal, maternal, and facility factors. As a way forward, a concerted effort is needed to improve the community awareness of institutional delivery and ANC visit. Moreover, strengthening the facility level readiness in availing quality service through all paths of the continuum of care with special attention to the lower-level facilities and selected poor-performing regions is mandatory.

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Factors associated with age of mother at first birth in Albania: application of quantile regression model

Cited by 7 publications

References 16 publications

Awareness and Risk Assessment of Breast Cancer Among Women in Saudi Arabia: A Cross-Sectional Study

Awareness and Risk Assessment of Breast Cancer Among Women in Saudi Arabia: A Cross-Sectional Study

Prevalence and determinants of wasting of under-5 children in Bangladesh: Quantile regression approach

Timing of perinatal death; causes, circumstances, and regional variations among reviewed deaths in Ethiopia

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