The impact of theory-based educational intervention on improving helmet use behavior among workers of cement factory, Iran

Jafaralilou, Hamid; Zareban, Iraj; Hajaghazadeh, Mohammad; Matin, Habibeh; Didarloo, Alireza

doi:10.1186/s42506-018-0001-6

Cited by 33 publications

(23 citation statements)

References 18 publications

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“…The analysis of this study proves that education is one of the determining factors for women in Indonesia to make �4 ANC visits. In general, it can be explained that the more educated a person is, the easier it is to receive new health information and understand the dangers or risks of behaviors that have an impact on health [38][39][40]. Education has also been shown to play a role in one's perception of the quality of health services [41,42].…”

Section: Discussionmentioning

confidence: 99%

Regional disparities in antenatal care utilization in Indonesia

2020

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Introduction The main strategy for decreasing maternal morbidity and mortality has been antenatal care (ANC). ANC aims to monitor and maintain the health and safety of the mother and the fetus, detect all complications of pregnancy and take the necessary actions, respond to complaints, prepare for birth, and promote a healthy lifestyle. This study aims to analyze interregional disparities in �4 ANC visits during pregnancy in Indonesia. Methods Data was acquired from the 2017 Indonesian Demographic and Health Survey (IDHS). The unit of analysis was women aged 15-49 years old, and a sample of 15,351 women was obtained. In addition to ANC as the dependent variable, the other variables analyzed in this study were a place of residence, age, husband/partner, education, parity, wealth status, and health insurance. For the final analysis, binary logistic regression was used to determine disparity. Results With the Papua region as a reference, all regions showed a gap except for the Maluku region, which was not significantly different in the use of ANC compared to the Papua region. Women in the Nusa Tenggara have 4.365 times the chance of making �4 ANC visits compared to those in the Papua region (95% CI 3.229-5.899). Women in Java-Bali have 3.607 times the chance of making �4 ANC visits compared to women in the Papua region (95% CI 2.741-4.746). Women in Sumatra have 1.370 times the chance of making �4 ANC visits compared to women in the Papua region (95% CI 1.066-1.761). Women in Kalimantan have 2.232 times the chance of making �4 ANC visits compared to women in the Papua region (1.664-2.994). Women in Sulawesi have 1.980 times more chance of making �4 ANC visits compared to women in the Papua region (1.523-2.574). In addition to the region category, other variables that contributed to the predictor were age, husband/partner, education, parity, wealth and insurance.

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Section: Discussionmentioning

confidence: 99%

Regional disparities in antenatal care utilization in Indonesia

2020

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“…Analysis of this study proves that education is one of the determining factors for women in Indonesia to make ≥4 ANC visits. In general, it can be explained that the more educated a person is, the easier it is to receive new health information, while at the same time being able to understand the dangers or risks of behaviors that have an impact on health [36][37][38]. Education has also been shown to play a role in one's perception of the quality of health services [39,40].…”

Section: Discussionmentioning

confidence: 99%

Regional Disparities of Antenatal Care Utilization in Indonesia

Laksono

Rukmini

Wulandari

2019

Preprint

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Introduction:The main strategy for decreasing maternal morbidity and mortality with antenatal care (ANC). ANC aims to monitor and maintain the health and safety of the mother and fetus, detect all complications of pregnancy and take the necessary actions, respond to complaints, prepare for birth, and promote healthy living behavior. The study aims to analyze inter-regional disparities in ≥4 ANC visits during pregnancy in Indonesia. Methods: Data sources from 2017 Indonesian Demographic and Health Survey (IDHS). With an analysis unit of women aged 15-49 years old, a sample of 15,351 women was obtained. Besides 2 ANC as the dependent variable, other variables analyzed were place of residence, age, husband/partner, education, parity, wealth status, and health insurance. Analysis using Binary Logistic Regression for the final test to determine disparity. Results: All regions show a gap with the Papua region as a reference, except the Maluku region which was not significant shows differences in the use of ANC compared to the Papua. Women in the Nusa Tenggara have 4,365 chances of making ≥4 ANC visits compared to the Papua region.Women in Java-Bali have 3,607 times more chances to make ≥4 ANC visits than women in the Papua region. Women in Sumatra have 1,370 chances of making ≥4 ANC visits compared to women in the Papua region. Women in Kalimantan have 2.232 times made ≥4 ANC visits compared to women in the Papua region. Women in Sulawesi have 1,980 times more than AN4ANC visits compared to women in the Papua region. In addition to the region category, other variables found to contribute to the predictor were age, husband/partner, education, parity, wealth and insurance.Conclusion: There were disparities between regions in the ANC utilization in Indonesia.Keyword: antenatal care, the barrier of utilization, mother health

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“…26 Overall, these astounding findings bring up the crucial need of early and primary prevention of hypertension using constructive, structured and effective socio-cultural strategies and psychological behavior change whereby some of which was consisting to other studies to their effective use, such as health believe model where the improved result was significant with p=0.03), planned behavior and planned action, social cognitive theory, stage of change theory or trans-theoretical model, with even consideration of workplace clinical and community approaches to improve the level of health promotion success. [26][27][28][29][30]…”

Section: Discussionmentioning

confidence: 99%

Prevalence and professional implication of updated versus previous hypertension classification

Nsanzabera

Sagwe

Ndengo

2020

Int J Community Med Public Health

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Background: Hypertension remains the global challenge and the leading causes of worse cardiovascular event with 7.5 million toll deaths. The 2010 WHO estimate was 1.3 billion representing 31.1% of all adults with an astounding increase in low and middle-income countries including Sab-Saharan Africa.Methods: This cross-sectional study was undertaken in two beverage industrial workplaces with a sample of 440 employees and their spouses during the period of 2016 to 2018. WHO stepwise questionnaire was used to collect data and biomedical samples were taken for predicting the 10-year cardiovascular risk by Cox regression model and multivariate logistic regression was run to determine the key factors associated with both Hypertension (HTN) classifiers. The data were coded and analyzed by SPSS 16.0 version.Results: Overall HTN prevalence was 32.27%, male with 37.8% and female with 25.2% by previous HTN classifier. Whereas the updated classifier showed an overall prevalence of 61.81%, male with 67.1% and female with 55%. The findings showed a huge difference of 29.54% with p<0.001 between the two prevalence of previous and updated blood pressure classification. Employees had a relatively high HTN prevalence of 35.92% to 65.18%, compared to the spouses with 26.47% to 56.47%, p<0.001 by previous and updated classification, respectively.Conclusions: The relatively rise prevalence of the HTN revealed by this study suggests new and combining health promotion tactics, cultural theories to fight this rampant silent killer.

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The impact of theory-based educational intervention on improving helmet use behavior among workers of cement factory, Iran

Cited by 33 publications

References 18 publications

Regional disparities in antenatal care utilization in Indonesia

Regional disparities in antenatal care utilization in Indonesia

Regional Disparities of Antenatal Care Utilization in Indonesia

Prevalence and professional implication of updated versus previous hypertension classification

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