Adolescent Mothers and Fetal Loss, What is Learned from Experience?

1984 ◽  
Vol 55 (3) ◽  
pp. 775-778 ◽  
Author(s):  
Peggy B. Smith ◽  
Maxine Weinman ◽  
L. Russell Malinak

73 gravida I adolescent mothers and 93 gravida III adolescent mothers of low socio-economic status were compared to verify that a higher rate of fetal loss exists with parity. Gravida III adolescent mothers had only a 45 % chance of having all three children living compared to the 95% of gravida I adolescent mothers. Moreover, gravida III adolescent mothers used prenatal care and preventive health programs less frequently than their gravida I counterparts. Most problems with babies also occurred more frequently with gravida III young women.

1998 ◽  
Vol 14 (1) ◽  
pp. 25-30 ◽  
Author(s):  
Roselyn P. Epps ◽  
Marc W. Manley ◽  
Corinne G. Husten ◽  
Thomas P. Houston ◽  
L.Robert Martin ◽  
...  

Author(s):  
Aleksandra Czerw

Lifestyle, environment, genetics and usage of health care are the classical health determinants. Each of these factors influences personal health to certain degree. Lifestyle has the biggest impact (50–52%), followed by environment (18–20%), genes (15–20%) and finally usage of health care (10–15%). Acknowledgement of negative health behaviours as key reason for diseases of modern civilization formed the basis for many preventive actions. Implementation of preventive health programs is aimed at shaping healthy lifestyle and healthy behaviours in society. The objective of this article is to present links between social marketing and possibilities to influence healthy behaviours of kids and youth. Necessity for holistic approach to health and examples of healthy behaviours of kids and young people in Poland are discussed.


2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Bright Opoku Ahinkorah ◽  
Edward Kwabena Ameyaw ◽  
Abdul-Aziz Seidu

Abstract Introduction Globally, sub-Saharan Africa (SSA) bears the highest proportion of women with unmet need for contraception as nearly 25% of women of reproductive age in the sub-region have unmet need for contraception. Unmet need for contraception is predominant among young women. We examined the association between socio-economic and demographic factors and unmet need for contraception among young women in SSA. Methods Data for this study obtained from current Demographic and Health Surveys (DHS) conducted between January 1, 2010 and December 31, 2018 in 30 sub-Saharan African countries. The sample size consisted of young women (aged 15–24), who were either married or cohabiting and had complete cases on all the variables of interest (N = 59,864). Both bivariate and multivariable binary logistic regression analyses were performed using STATA version 14.0. Results The overall prevalence of unmet need for contraception among young women was 26.90% [95% CI: 23.82–29.921], ranging from 11.30% [95% CI: 5.1–17.49] in Zimbabwe to 46.7% [95% CI: 36.92–56.48] in Comoros. Results on socio-economic status and unmet need for contraception showed that young women who had primary [aOR = 1.18; CI = 1.12–1.25, p < 0.001] and secondary/higher levels of formal education [aOR = 1.27; CI = 1.20–1.35, p < 0.001] had higher odds of unmet need for contraception compared to those with no formal education. With wealth status, young women in the richest wealth quintile had lower odds of unmet need for contraception compared with those in the poorest wealth quintile [aOR = 0.89; CI = 0.81–0.97, p < 0.01]. With the demographic factors, the odds of unmet need for contraception was lower among young women aged 20–24 [aOR = 0.74; CI = 0.70–0.77, p < 0.001], compared with 15–19 aged young women. Also, young women who were cohabiting had higher odds of unmet need for contraception compared to those who were married [aOR = 1.35; CI = 1.28–1.43, p < 0.001]. Conclusion Our study has demonstrated that unmet need for contraception is relatively high among young women in SSA and this is associated with socio-economic status. Age, marital status, parity, occupation, sex of household head, and access to mass media (newspaper) are also associated with unmet need for contraception. It is therefore, prudent that organisations such as UNICEF and UNFPA and the Bill & Melinda Gates Foundation who have implemented policies and programmes on contraception meant towards reducing unmet need for contraception among women take these factors into consideration when designing interventions in sub-Saharan African countries to address the problem of high unmet need for contraception among young women.


2012 ◽  
Vol 15 (7) ◽  
pp. A561
Author(s):  
N. Keller ◽  
P. Vo ◽  
R. Sambrook ◽  
K. Gooch ◽  
R.M. Kendall ◽  
...  

1985 ◽  
Vol 10 (2) ◽  
pp. 67-80 ◽  
Author(s):  
Lloyd F. Novick ◽  
David Jillson ◽  
Roberta Coffin ◽  
Mary Freedman

2021 ◽  
Author(s):  
Elena Agachi ◽  
Tammo H A Bijmolt ◽  
Jochen O Mierau ◽  
Koert van Ittersum

BACKGROUND Socioeconomic disparities in the adoption of preventive health programs represent a well-known challenge, with programs delivered online serving as a potential solution. The preventive health program examined in this study is a large-scale, open access online platform operating in the Netherlands, aimed at improving the health behaviors and wellness of its participants. OBJECTIVE This study examines differences in adoption of an online preventive health program across socioeconomic groups, whereby comparing between its two delivery means: website versus mobile phone app. METHODS The 83,466 participants in this cross-sectional, non-experimental study are individuals who have signed up for the health program between July 2012 and September 2019. The rate of program adoption per delivery means is estimated using the Prentice, Williams and Peterson Gap-Time model (PWP-GT), with the measure of neighborhood socio-economic status (NSES) employed to distinguish between population segments with different socioeconomic characteristics. Registration to the health program is voluntary and free, not within a controlled study setting, allowing for observing the true rate of adoption. RESULTS The estimation results indicate that program adoption across socioeconomic groups varies depending on program’s delivery means. For the website version, higher NSES groups have a higher likelihood of program adoption compared to the lowest NSES group (hazard ratio [HR]=1.03; 95% confidence interval [CI]=1.01, 1.05). For the mobile phone app version, the opposite holds: higher NSES groups have a lower likelihood of program adoption compared to the lowest NSES group (HR=0.94; 95% CI=0.91, 0.97). CONCLUSIONS Promoting preventive health programs using mobile phone apps can help increase program adoption among the lowest socioeconomic segment. Given the increasing usage of mobile phones among the disadvantaged population groups, structuring future health interventions to include mobile phone apps as means of delivery can support the stride towards diminishing health disparities.


2014 ◽  
Vol 17 (3) ◽  
pp. A172-A173 ◽  
Author(s):  
V.H. Jurado Hernandez ◽  
J.L. Sanchez-Casillas ◽  
P. Vo ◽  
A.J. Laws ◽  
K.L. Gooch ◽  
...  

Author(s):  
Gerald L. Stokka ◽  
John F. Smith ◽  
James R. Dunham ◽  
Anne T. Van

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