scholarly journals Faktor yang Memengaruhi Pemilihan Metode Kontrasepsi

2017 ◽  
Vol 5 (2) ◽  
pp. 91
Author(s):  
Rendys Septalia ◽  
Nunik Puspitasari
Keyword(s):  
Mental Health ◽  
Population Growth ◽  
Contraceptive Use ◽  
Drop Out ◽  
Contraceptive Methods ◽  
Short Term ◽  
Contraceptive Usage ◽  
Material Costs ◽  
The Cost

Contraception was the most effective way to control the population growth. The most widely favored in Indonesia was a short-term contraceptive methods. High attainment acceptor on short-term contraceptive methods because short-term contraceptive methods was a methods contraception affordable, while the fees for the long-term contraceptive methods was more expensive. The incidence of injectable contraceptives and pills drop-out was higher than the long-term contraceptive methods that contributed to the failure of population growth control program. This study to analyze the factors that affect the selection contraceptive methods. This study was an observational study with cross sectional design. Sampling with systematic random and obtained were 79 acceptors. The independent variables were the cost of contraceptive use, non-material costs (experience side effects), cultural obstacle, social adjustments obstacle, physic and mental health obstacle, and accessibility obstacle. Data collected using the questionnaire and analyse by multiple logistic regression. The results showed that the significant factor were the cost of contraceptive usage (pvalue = 0.002), the cost of non-material (experience side eff ects) (pvalue = 0.007), and factors that didn’t have signifi cant influence were cultural obstacle (pvalue = 0.105), social adjustments obstacle (pvalue = 0.999), physic and mental health obstacle (pvalue = 0.920), and accessibility obstacle (pvalue = 0.438). The conclusion were the cost of contraceptive use and non-material costs (experience side eff ects) aff ected the selection of contraception. It was need the cooperation between religious leaders, community leaders, and health care workers in a common understanding on the cost of contraceptive usage.

scholarly journals Pattern and Determinant of Contraceptive Use among Women in Indonesia from 2007 to 2017: Evidence from Demographic and Health Survey

2021 ◽  
Vol 9 (E) ◽  
pp. 1363-1370
Author(s):  
Desy Nuri Fajarningtiyas ◽  
Dedik Sulistiawan ◽  
Margareth Maya Parulianta Naibaho ◽  
Riza Fatma Arifa
Keyword(s):  
Health Survey ◽  
Contraceptive Use ◽  
Modern Method ◽  
Demographic And Health Survey ◽  
Contraceptive Methods ◽  
Short Term ◽  
Living Together ◽  
Long Acting ◽  
Over Time

Background: Modern contraceptives are proven as the most effective birth control methods. However, it was a change in the pattern of modern method use in Indonesia to traditional. Objectives: This study investigated the pattern of contraceptive use and its determinant in Indonesia between 2007 and 2017. Methods: The study employed data from the Indonesian Demographic and Health Survey (IDHS) 2007, 2012, and 2017. Eligible participants included all women aged 15–49 who were married/living together with a partner. The dependent variable was contraceptive method use categorized as long-term, short-term, and traditional. Weighted pooled logistic regression analysis was applied to determine the shifting patterns of the independent variables related to contraceptive use over time. Results: The trend of contraceptive use in Indonesia has shifted over the three periods of the IDHS. During the three survey periods, contraceptive use was still dominated by short-term contraception, although over the last five years, the proportion has shown a decline of around 9%. Traditional contraceptive adoption followed the same patterns as long-acting reversible contraception (LARC), although having a smaller prevalence. Education level was significantly unassociated with the use of the traditional method at the beginning of the observation. However, more educated and knowledgeable women about contraceptive methods were more likely to use traditional contraceptives, switched from long-acting use following the next five and ten years. Long-term methods were no longer significantly more common among women in Java and Bali after five and ten years; the likelihood of using traditional methods in Java and Bali was growing. Conclusion: This study showed that contraceptive use and determinants were always dynamic over time. Therefore, family planning strategies and policies should adapt accordingly. Giving an understanding of contraceptive methods' benefits and risks through adequate method information is encouraged to prevent contraceptive dropout or switch to less-effective methods.

scholarly journals RELATIONSHIP BETWEEN CONTRACEPTIVE USE AND OCCUPATIONAL STATUS WITH UNWANTED PREGNACNY RISK AMONG COUPLES OF CHILDBEARING AGE

2020 ◽  
Vol 9 (2) ◽  
pp. 146
Author(s):  
Novela Sanderina Rumaropen ◽  
Lutfi Agus Salim ◽  
Salut Muhidin
Keyword(s):  
Contraceptive Use ◽  
Unwanted Pregnancy ◽  
Occupational Status ◽  
P Value ◽  
Contraceptive Methods ◽  
Childbearing Age ◽  
Short Term ◽  
Unwanted Pregnancies ◽  
Effective Use

Unwanted pregnancy is a world problem. In 2008, there were 208 million pregnancies in the world, and 41% of them were unwanted pregnancy. Cross-national reproductive health studies have indicated that the unwanted pregnancy rates remain substantially high in many developing regions, including in Indonesia (Bearak et al. 2018). Unwanted pregnancies in Indonesia increased from 13.6% in 2012 to 16% in 2015. The high rates of unwanted pregnancies are often linked to the gaps in family planning services such as the effective use of contraceptive methods which is also influenced by family socioeconomic backgrounds such as their occupational status. Using the case study at health clinics of PKBI in East Java, this paper attempts to explore the association or relationship between the risk of unwanted pregnancy among couples of childbearing age (CCA) with their use of contraceptive methods and occupational status. A quantitative method of a case-control research design was applied by using a random sampling technique. The study was 50 women couples of  childbearing age (15–45 years), who had unwanted and wanted pregnancies. Simple correlation analysis shows that the association are relatively significant between the occurrence of an unwanted pregnancy with the long-term contraceptive use (p-value = 0.008), and with the employed in occupational status (p-value = 0.027). However, there is no correlation between the unwanted pregnancy occurrence with the short-term contraceptives use (p-value = 0.118). The study concludes that the use of short-term contraceptive methods and the employed status can still affect the risk of unwanted pregnancies, while the effective use of long-term contraceptive method has a vital role in preventing unwanted pregnancies.

scholarly journals Predictors of modern contraceptive usage among sexually active rural women in Ethiopia: A multi-level analysis

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Setegn Muche Fenta ◽  
Shewayiref Geremew Gebremichael
Keyword(s):  
Rural Women ◽  
Contraceptive Use ◽  
Community Level ◽  
Sub Saharan Africa ◽  
Modern Contraceptive ◽  
Sexually Active ◽  
Contraceptive Methods ◽  
Contraceptive Usage ◽  
Modern Contraceptive Use ◽  
Multi Level

Abstract Background Ethiopia is one of the Sub-Saharan Africa countries with the lowest modern contraceptive prevalence rate and the highest fertility rate. This study aimed to assess individual and community-level predictors of modern contraceptive use among sexually active rural women in Ethiopia. Data and methods A sample of 9450 sexual active rural women aged 15-49 was extracted from the 15, 683 nationally representative samples of 2016 Ethiopian Demographic and Health Survey (EDHS). Multi-level logistic regression model was considered to identify determinant factors of modern contraceptive use among sexually active rural women in Ethiopia. Result The prevalence of modern contraceptive use among respondents was 20% in rural Ethiopia. Injection (66.35%) was the most common type of modern contraceptive use. In the last full model of the multilevel analysis, individual and community-level factors accounted for 86.69% of the variation in the use of modern contraceptive methods. Secondary and above-educated women (AOR = 1.39, 95%CI: 1.06, 2.81), having 1-4 living children (AOR = 2.70, 95%CI: 2.07, 3.53), rich wealth status (AOR = 2.26, 95%CI: 1.96, 2.60), married women (AOR = 17.31, 95%CI: 10.72, 27.94), having primary educated husband (AOR = 1.45, 95%CI: 1.27, 1.67) and being working husband (AOR = 2.26, 95%CI: 1.96, 2.60) were significantly positively associated with individual-level factors of the use of modern contraceptive methods. Besides, modern contraceptive use was negatively associated with Muslim women (AOR = 0.29, 95%CI: 0.25, 0.33). Compared to the Tigray region, women living in the Afar, Somali, Harari, and Dire Dawa regions had lower use of modern contraceptive methods. Women who had access to mass media (AOR = 1.35, 95%CI: 1.16, 1.57) were more likely to use contraceptives than their counterparts. Conclusion The prevalence of modern contraceptive use among rural women has very low. Both individual and community-level factors were significant predictors of modern contraceptive use. Consequently, the government and other stakeholders need to address educational opportunities; creating awareness about modern contraception and valuable counseling would increase modern contraceptive methods utilization.

scholarly journals Methods to Prevent Future Severe Animal Welfare Problems Caused by COVID-19 in the Pork Industry

Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 830
Author(s):  
Temple Grandin
Keyword(s):  
Animal Welfare ◽  
Detrimental Effect ◽  
Third Party ◽  
Electrical Parameters ◽  
Short Term ◽  
Pork Industry ◽  
Third Party Auditing ◽  
The Cost ◽  
High Welfare

In the U.S., the most severe animal welfare problems caused by COViD-19 were in the pork industry. Thousands of pigs had to be destroyed on the farm due to reduced slaughter capacity caused by ill workers. In the future, both short-term and long-term remedies will be needed. In the short-term, a portable electrocution unit that uses scientifically validated electrical parameters for inducing instantaneous unconsciousness, would be preferable to some of the poor killing methods. A second alternative would be converting the slaughter houses to carcass production. This would require fewer people to process the same number of pigs. The pandemic revealed the fragility of large centralized supply chains. A more distributed supply chain with smaller abattoirs would be more robust and less prone to disruption, but the cost of pork would be greater. Small abattoirs can coexist with large slaughter facilities if they process pigs for specialized premium markets such as high welfare pork. The pandemic also had a detrimental effect on animal welfare inspection and third party auditing programs run by large meat buyers. Most in-person audits in the slaughter plants were cancelled and audits were done by video. Video audits should never completely replace in-person audits.

Therapeutic Dynamics of Aggression, Readiness to Change, and Recidivism in a Partner Violent Men Typology

2021 ◽  
pp. 001112872110364
Author(s):  
Natalia Redondo ◽  
Marina J. Muñoz-Rivas ◽  
Arthur L. Cantos ◽  
Jose Luis Graña
Keyword(s):  
Stages Of Change ◽  
Transtheoretical Model ◽  
Partner Violence ◽  
Behavioral Interventions ◽  
Readiness To Change ◽  
Drop Out ◽  
Short Term ◽  
Violent Men ◽  
Partner Violent Men

The Transtheoretical Model (TTM) of behavior change predicts that patients go through different stages of change prior to changing their problematic behavior. This study aims to evaluate the utility and validity of this model in a sample of 549 court-ordered partner violent men. Three types of perpetrators with respect to their readiness to change were revealed. Those in more advantage stage of change use more processes to change their problem and present with higher levels of intimate partner violence (IPV). Low readiness to change levels and treatment drop-out predict short-term criminal justice recidivism, while treatment drop-out predicts medium and long-term recidivism. Results highlight the applicability of the TTM in IPV and its usefulness in designing behavioral interventions with this population.

scholarly journals IMPLANTS AND INJECTIONS ARE FAVORITE CONTRACEPTION TOOLS IN SUMATERA SELATAN

2019 ◽  
Vol 5 (3) ◽  
pp. 147-150
Author(s):  
Mukni Mukni
Keyword(s):  
Regression Analysis ◽  
Family Planning ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Simple Linear Regression ◽  
Contraceptive Methods ◽  
Poverty Level ◽  
Short Term ◽  
Simple Linear Regression Analysis

Background: The choice of contraception by family planning acceptors greatly determines the success rate of the family planning program, because not all contraceptives are suitable for someone. This study aims to determine what types of contraceptives chosen by family planning acceptors and whether there is a relationship between the selection of contraceptives there is a relationship with the poverty level in the District / City in South Sumatra in 2015, 2016 and 2017. The source of data obtained from the Provincial BPS South Sumatra. Methodology: This study uses a descriptive approach with a simple linear regression analysis method. Results: The results of the analysis were grouped into two, first long-term contraception method KB IUD, MOW, MOP and implants, both short-term contraceptive methods namely injection KB, pill and condom from 17 regencies / cities in South Sumatra. Conclusion: contraception devices that are mostly chosen by long-term contraceptive methods are implants (10000-35000) or 10-20 times larger than other contraceptives. Short-term contraceptive methods are injections, (7700 - 76000) or 5-7 times greater than other contraceptives. From the simple linear regression analysis it turns out that the relationship of long-term contraceptive selection by acceptors with the poverty level is R² = 0.7382 and the short-term method R² = 0.9223. District / City Governments in South Sumatra should provide alokon (contraceptive devices and drugs) in accordance with the type and amount in the field to be on target

scholarly journals Association Between Past Oral Contraceptive Use and the Prevalence of Hypertension in Postmenopausal Women: The Fifth (2010–2012) Korea National Health and Nutrition Examination Survey (KNHANES V)

2021 ◽  
Author(s):  
JungJu Lee ◽  
Hyunsuk Jeong ◽  
Joo Hee Yoon ◽  
Hyeon Woo Yim
Keyword(s):  
Postmenopausal Women ◽  
National Health ◽  
Contraceptive Use ◽  
Confounding Factors ◽  
Nutrition Examination Survey ◽  
Short Term ◽  
Multivariable Logistic Regression Model ◽  
Cross Sectional ◽  
Health And Nutrition

Abstract Background: There is little evidence as to whether the use of oral contraceptives(OC) during the fertile years affects the development of postmenopausal hypertension. This study aimed to evaluate the effects of past use of OC on the development of hypertension in postmenopausal women. Methods: This was a cross-sectional study conducted using data from the Fifth Korea National Health and Nutrition Examination Survey of postmenopausal women. Subjects were classified into three groups based on past OC use duration: nonusers, short-term users(0–30months), and long-term users(≥30 months). We evaluated the development of hypertension in women after menopause. A multivariable logistic regression model was used to identify the association between the use of OC during the fertile years and the prevalence of hypertension after menopause following adjustment for potential confounding factors. Results: Of the 3,386 postmenopausal women, 2,713 were nonusers of OC, 489 were short-term users, and 184 were long-term users. Women who had used OC for 30 months or more had a significantly greater prevalence of hypertension after menopause than those who had never taken OC. The association between taking OC for 30 months or more during the fertile years and the prevalence of hypertension after menopause was significant following adjustment for potential confounding factors (aOR:1.92; 95%CI:1.22–3.00). Conclusion: This study identified an association between past OC use and an increased prevalence of hypertension in postmenopausal women. Our results suggest that long-term use of OC during the fertile years can be an important risk factor for subsequent hypertension after menopause.

scholarly journals Using Bayesian Model Averaging to Analyse Hierarchical Health Data: model implementation and application to linked health service use data

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Behrooz Hassani-Mahmooei ◽  
Janneke Berecki-Gisolf ◽  
Alex Collie
Keyword(s):  
Mental Health ◽  
Health Service ◽  
Bayesian Model ◽  
Bayesian Model Averaging ◽  
Model Averaging ◽  
Medical Costs ◽  
Health Data ◽  
Post Injury ◽  
The Cost

ABSTRACTObjectiveThe majority of standard coding systems applied to health data are hierarchical: they start with several major categories and then each category is broken into subcategories across multiple levels. Running statistical models on these datasets, may lead to serious methodological challenges such as multicollinearity between levels or selecting suboptimal models as model space grows exponentially by adding each new level. The aim of this presentation is to introduce an analytical framework that addresses this challenge. ApproachData was from individuals who claimed Transport Accident Commission (TAC) compensation for motor vehicle accidents that occurred between 2010 and 2012 in the state of Victoria, Australia and provided consent for Pharmaceutical Benefits Scheme (PBS) and Medicare Benefits Schedule (MBS) linkage (n=738). PBS and MBS records dating from 12 months prior to injury were provided by the Department of Human Services (Canberra, Australia). Pre-injury use of health service items and pharmaceuticals were considered to indicate pre-existing health conditions. Both MBS and PBS listings have a hierarchical structure. The outcome was the cost of recovery; this was also hierarchical across four level (e.g. total, medical, consultations, and specialist). A Bayesian Model Averaging model was embedded into a data mining framework which automatically created all the cost outcomes and selected the best model after penalizing for multicollinearity. The model was run across multiple prior settings to ensure robustness. Monash University’s High Performance Computing Cluster was used for running approximately 5000 final models.ResultsThe framework successfully identified variables at different levels of hierarchy as indicators of pre-existing conditions that affect cost of recovery. For example, according to the results, on average, patients who received prescription pain or mental health related medication before the injury had 31.2% higher short-term and 36.9% higher long-term total recovery cost. For every anaesthetic in the year before the accident, post-injury hospital cost increased by 24%, for patients with anxiety it increased by 35.4%. For post-injury medical costs, every prescription of drugs used in diabetes (Category A10 in ATC) increased the cost by 8%, long term medical costs were affected by both pain and mental health. ConclusionBayesian model averaging provides a robust framework for mining hierarchically linked health data helping researchers to identify potential associations which may not have been discovered using conventional technique and also preventing them from identifying associations that are sporadic but not robust.

scholarly journals No compelling evidence that preferences for facial masculinity track changes in women’s hormonal status

2017 ◽  
Author(s):  
Benedict C Jones ◽  
Amanda C Hahn ◽  
Claire I Fisher ◽  
Hongyi Wang ◽  
Michal Kandrik ◽  
...  
Keyword(s):  
Oral Contraceptive ◽  
Contraceptive Use ◽  
Steroid Hormone ◽  
Hormonal Status ◽  
Compelling Evidence ◽  
Short Term ◽  
Facial Masculinity ◽  
Oral Contraceptive Use ◽  
Women’S Preferences

AbstractAlthough widely cited as strong evidence that sexual selection has shaped human facial attractiveness judgments, evidence that preferences for masculine characteristics in men’s faces are related to women’s hormonal status is equivocal and controversial. Consequently, we conducted the largest ever longitudinal study of the hormonal correlates of women’s preferences for facial masculinity (N=584). Analyses showed no compelling evidence that preferences for facial masculinity were related to changes in women’s salivary steroid hormone levels. Furthermore, both within-subject and between-subject comparisons showed no evidence that oral contraceptive use decreased masculinity preferences. However, women generally preferred masculinized over feminized versions of men’s faces, particularly when assessing men’s attractiveness for short-term, rather than long-term, relationships. Our results do not support the hypothesized link between women’s preferences for facial masculinity and their hormonal status.

scholarly journals Forecasting Australian port throughput: Lessons and Pitfalls in the era of Big Data

2019 ◽  
Author(s):  
soumya banerjee
Keyword(s):  
Big Data ◽  
Forecasting Model ◽  
Short Term ◽  
Port Development ◽  
Forecasting Accuracy ◽  
Port Throughput ◽  
Infrastructure Investments ◽  
The Cost ◽  
Modelling And Forecasting

Modelling and forecasting port throughput enables stakeholders to make efficient decisions ranging from management of port development, to infrastructure investments, operational restructuring and tariffs policy. Accurate forecasting of port throughput is also critical for long-term resource allocation and short-term strategic planning. In turn, efficient decision-making enhances the competitiveness of a port. However, in the era of big data we are faced with the enviable dilemma of having too much information. We pose the question: is more information always better for forecasting? We suggest that more information comes at the cost of more parameters of the forecasting model that need to be estimated. We comparemultiple forecasting models of varying degrees of complexity and quantify the effect of the amount of data on model forecasting accuracy. Our methodology serves as a guideline for practitioners in this field. We also enjoin caution that even in the era of big data more information may not always be better. It would be advisable for analysts to weigh the costs of adding more data: the ultimate decision would depend on the problem, amount of data and the kind of models being used.

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