Dwi Hapsari - Academia.edu (original) (raw)
Papers by Dwi Hapsari
Panduan Manajemen Penelitian Kuantitatif
Lembaga Penerbit Badan Penelitian dan Pengembangan Kesehatan eBooks, 2018
PLOS ONE
Background and objectivesAnemia remains a major public health problem worldwide. This study exami... more Background and objectivesAnemia remains a major public health problem worldwide. This study examined the relationship between anemia and the nutritional status of non-pregnant women aged 19–49 years in Indonesia.Methods and study designThe data were derived from the 2018 Basic Health Research Data of Indonesia. We used information from 11,471 non-pregnant women aged 19–49 years. The dependent variable was anemia (hemoglobin level <12 g/dL). The independent variable was women’s nutritional status, a combined indicator of body mass index (BMI) and mid-upper arm circumference (MUAC). Our analysis controlled for women’s age, education, physical activity, fruit and vegetable consumption, and the presence of communicable or non-communicable diseases. We performed logistic regression analyses.ResultsThe prevalence of anemia in non-pregnant women aged 19–49 years was 22.3% (95% confidence interval [CI]: 21.4–23.3). Women with overweight and obesity were less likely to develop anemia than...
Pola Pertolongan Persalinan 5 Tahun Terakhir DI Indonesia
Tlrr l~zforni~ltion o n Inclone.sia del ivev 's pattern at rural arid urbu~i ~~re i r htised ... more Tlrr l~zforni~ltion o n Inclone.sia del ivev 's pattern at rural arid urbu~i ~~re i r htised on conzrnunit~~ dirtu in ,five years periocls (1 996-2000) was taken ,f~;onz SUSENAS 2001 (hrrtionul Soc.ic11 L~JIO' Eco~ioinic. Survey 2001). This analysis was sepuruted in s i . ~ rc~giorr.~: N~lsll Tenggura & PUJ)I.LU, Sulawe.si. Kulinzantun. Jal'u. Szmiuter*tr uncl Buli. The arral\:\is .shower1 that duriirg 1996-2000 there was slightly increrrsirlg proportion c!f'rleliverv bjl lre~~lrlr i1.orkei-s in rzu*ul dun ~rrban ~treu. The hldone.sian turget of birth cielive/?l uttenclerl b ~ ? he~rlth ~.or*kc)r i 2000 was 80%. f i e target was achievecl in all ~Lrhun L W ~ L I S of'tlre six regiorr.~ irirrl irr rzlr~rl urea of Bali, hut not in the rural areas oj'the other 5 I-egions. There was LI lurge tli.vc.r.ep~iric:\betweerl ~ L I I . ~ I I arrd L I I ~ ~ ~ Y I areas. The largest rliscrepuncl; was 46'X in the regioir of ' Nus~r Terrgguru & Pclpzlu. ,fbllowecl by...
BMC Public Health, 2020
Background Based on Basic Health Research (RISKESDAS) conducted by Ministry of Health, Indonesia,... more Background Based on Basic Health Research (RISKESDAS) conducted by Ministry of Health, Indonesia, prediabetes prevalence tends to increase from 2007 until 2018. The numbers are relatively higher in rural than those in urban area despite of small discrepancies between the two (~ 2–4%). The purpose of this study was to identify urban-rural differences in potential determinants for prediabetes in Indonesia. Methods This analysis used secondary data collected from nationwide Health Survey in 2018. Respondents were aged ≥15 years who met inclusion criteria of analysis with no history of diabetes mellitus. Prediabetes criteria followed American Diabetes Association 2019. Multiple logistic regression was also employed to assess the transition probability of potential determinants for prediabetes in urban and rural Indonesia. Results Up to 44.8% of rural respondents were prediabetics versus their urban counterparts at 34.9%, yet non-response bias was observed in the two. Young adults aged 3...
Media Penelitian dan Pengembangan Kesehatan, 2019
Failure to immunization can cause serious implications for a child’s life and the health of the s... more Failure to immunization can cause serious implications for a child’s life and the health of the surrounding children.The aim of study was to assess the characteristic of children, parents and families in children who failed to obtain complete immunization. Another additional objective is to see the timeliness of each type of immunization, including HB0, BCG, DPT-HB Combo, Polio and Measles. Samples were children aged 12 to 23 months who were samples in the 2013 Riskesdas and then children’s data was merged with data on the characteristic of mothers, fathers and families. Furthermore, the history of immunization of children will be analyzed by univariate, bivariate and multivariate. Immunization data analyzed are children with immunization records and family memories. The results showed that children who do not have KMS (immunization cards), KIA (mother and child card) and other immunization records, birth places in not health facilities, birth order <2, low education of fathers a...
Delapan Domain Kesehatan Menurut “International Classification of Functioning, Disability & Health” Pada Penduduk Usia ≥ 15 Tahun Dan Faktor-Faktor Yang Memengaruhi (Analisis Lanjut Riskesdas Tahun 2007)
Buletin Penelitian Sistem Kesehatan, 2010
Pengaruh Sosial Ekonomi, Lingkungan Sehat, dan Perilaku Hidup Sehat Terhadap Status Kesehatan (Laporan Analisis Lanjut Riskesdas 2007)
Badan Penelitian dan Pengembangan Kesehatan, 2008
Gambaran Kebijakan Penyelenggaraan Kota Sehat Pada Lima Kota DI Indonesia
Media of Health Research and Development, 2007
Healthy city is one of the public health problems. The quick of growth population and development... more Healthy city is one of the public health problems. The quick of growth population and development activity has contributed the continuously decrease of the environmental quality in the city. So that, the environmental quality in the cities and regents as the Agenda 21's priority. These background has effort the government of Indonesia to announce "Healthy City " policy, as the action of community be through healthy life. The study of heal thy city has done in 5 (five) municipalities in Indonesia. To know the implementation and the action of the healthy city policy in five municipalities in Indonesia. The study has been done in 5 (five) municipalities in Indonesia such as Medan, Semarang, Denpasar, Manado and Balikpapan, Indonesia with qualitative approach to describe government policy on Healthy Cities in selected municipalities. Interview technique had been undertaken by in depth interview and focus group discussion toward Municipality Officer, Municipality Developmen...
Faktor-Faktor Yang Berpengaruh Terhadap Risiko Kehamilan “4 Terlalu (4-T)” Pada Wanita Usia 10-59 Tahun (Analisis Riskesdas 2010)
Media Penelitian dan Pengembangan Kesehatan, 2015
Abstrak Tujuan penulisan ini adalah mengidentifikasi faktor-faktor tidak langsung yang dapat memp... more Abstrak Tujuan penulisan ini adalah mengidentifikasi faktor-faktor tidak langsung yang dapat mempengaruhi risiko kehamilan. Desain penelitian cross sectional. Data yang dianalisis merupakan data hasil Riset Kesehatan Dasar (Riskesdas) tahun 2010 yang telah dilaksanakan oleh Badan Litbangkes. Unit analisis adalah ibu atau wanita usia subur (WUS) yang pernah melahirkan minimal 1 anak dalam kurun waktu 5 tahun terakhir sampai dengan saat wawancara. Analisis dilakukan dengan menggunakan metode logistik regresi untuk mengetahui faktor yang paling dominan. Berdasarkan hasil analisis ditemukan bahwa variabel yang paling dominan dalam hubungan antara faktor tidak langsung dengan kejadian fisiko kehamilan 4-T (terlalu tua, terlalu muda, terlalu banyak dan terlalu dekat) adalah variabel tempat tinggal (desa/kota), tingkat pendidikan, status ekonomi, dan keinginan hamil. Ibu yang tinggal di perdesaan berpeluang 1,1 kali berisiko kehamilan 4T, sementara ibu yang berpendidikan rendah (SD ke bawah) berpeluang 1,4 kali untuk mengalami risiko kehamilan. Ibu dari keluarga miskin berpeluang 1,3 kali mengalami risiko kehamilan, sedangkan ibu yang sulit akses ke pelayanan kesehatan berpeluang 1,9 kali berisiko hamil dengan kondisi 4-T, dan ibu yang tidak/belum ingin hamil berpeluang 4,9 kali mengalami risiko kehamilan. Masalah risiko kehamilan lebih mungkin terjadi pada kelompok ibu yang tinggal di perdesaan, dengan tingkat pendidikan dan ekonomi rendah, dan kesulitan akses ke fasilitas kesehatan serta belum atau tidak menginginkan kehamilannya. Oleh sebab itu diperlukan pemerataan program jamkesmas agar keluarga tidak mampu dan yang tinggal di perdesaan semakin mudah untuk mendapat pelayanan kesehatan. Selain itu memprioritaskan pembangunan fasilitas kesehatan dan penyediaan tenaga kesehatan di perdesaan, dan juga penyuluhan tentang cara mengatur kehamilan yang sehat. Kata kunci : risiko kehamilan, WUS, 4-T Abstract The purpose of this paper is to identify factors that may indirectly affect the risk of pregnancy. Crosssectional study design. The data is from the Basic Health Research (Riskesdas) in 2010 which has been implemented by the National Health Research, Ministry of Health. The unit of analysis is the mothers or women of childbearing age (WUS) who had delivered at least one child within a period of 5 years up to the time of the interview. The analysis was performed by using logistic regression to determine the most dominant factor. Based on the analysis found the most dominant variable in the relationship between the indirect factors associated with the incidence of pregnancy risk 4-T (too old, too young, too many and too often) is variable residency (rural/urban), level of education, economic status, access to health facility and desire of pregnancy. Mothers who live in rural areas are likely 1.1 times have the chance of pregnancy risk, while mothers with low education (elementary school and below) 1.4 times as likely to experience a pregnancy risk. Then, mothers of poor families having a chance to experience 1.3 times the risk of pregnancy, whereas mothers who have difficult access to health services were likely 1.9 times at risk of pregnancy with 4-T conditions, and women who did not want to get pregnant were likely to experience 4.9 times the risk of pregnancy. Risk of pregnancy problems is more likely to occur in the group of women who live in rural areas, with low levels of education and the economy, and the difficulty of access to health facilities and does not want her pregnancy. Therefore, it requires health insurance or “jamkesmas”in order to provide an equal health services for poor people and those who living in rural areas. In addition to prioritize the provision of health facilities and health workers in rural areas, as well as counseling on how to manage a healthy pregnancy. Keywords : risk of pregnancy, fertility.
POLA PENCARIAN PENGOBATAN DI INDONESIA: Analisis Data Susenas 2001
Buletin Penelitian Kesehatan, 2003
POLA PENCARIAN PENGOBATAN DI INDONESIA: Analisis Data Susenas 2001
Frekuensi Diare Ditinjau Dari Beberapa Faktor Yang Mempengaruhinya
Jurnal Ekologi Kesehatan, 2002
Perjalanan Transisi Epidemiologi di Indonesia dan Implikasi Penanganannya, Study Mortalitas-survei Kesehatan Rumah Tangga (1986-2001)
Indonesian Bulletin of Health Research, Sep 1, 2003
Background: Housing is a basic human need that can affect health. To achieve a decent standard of... more Background: Housing is a basic human need that can affect health. To achieve a decent standard of living, people should live in an adequate housing, so that its occupants have a safe and healthy environment. Condition of the house is part of the quality of the environment. One of the environment-related diseases is ARI and diarrhea. Objectives: This study determines trends of ARI and diarrheal diseases and their relation to healthy houses in Indonesia in the last ten years. Methods: This analysis combines two data sources that are Riskesdas 2007-2010 and Susenas 2001-2010. The design of Riskesdas and Susenas is descriptive cross sectional. Research area for this analysis covers the entire province in Indonesia. The limitation of this analysis is only eight variables that can be used from data sources every year, beside 14 indicators of healthy houses. Results: This study indicates that: 1. Trends of ARI and diarrheal disease against healthy houses are similar. If percentage of healt...
Nutrients, 2022
Background: Globally, in 2020, 45 million children were estimated to be wasted, and 149 million c... more Background: Globally, in 2020, 45 million children were estimated to be wasted, and 149 million children under five years of age were estimated to be stunted. Undernutrition makes children in particular much more vulnerable to disease and death. Our study aims to examine geographic and socioeconomic disparities in child undernutrition across 514 districts in Indonesia. Methods: Employing both geospatial and quantitative analyses (descriptive statistics and Ordinary Least Squares regressions), we analyzed the disparities in the prevalence of underweight, severe underweight, wasting, severe wasting, stunting, and severe stunting among districts. Child undernutrition data were from Indonesia Basic Health Survey (Riskesdas) 2018, which included a sample of 93,620 children under five years. Socioeconomic data were from the World Bank. Results: We found a relatively large geographic and socioeconomic disparity in child undernutrition in Indonesia. By region, districts in the Papua region ...
Faktor-Faktor Yang Mempengaruhi Status Disabilitas Penduduk ≥ 15 Tahun DI Provinsi Nanggroe Aceh Darussalam
Analysis of disability status of population aged 15 years and above in Nanggroe Aceh Darussalam(N... more Analysis of disability status of population aged 15 years and above in Nanggroe Aceh Darussalam(NAD) has the objective to further depict disability status and related factors in NAD post tsunami. Thestudy used data from Post Tsunami Regional Health Survey (Surkesda) NAD 2006 and National SocioeconomicSurvey (Susenas) 2005 (Core), included 13.227 respondent. The questions on disability (WHODAS-II), adapting concept oflCF (International Classification of Functioning, Disability and Health),were included in Surkesda NAD 2006. Disability status was rated based on responses to 12 questions ofWHO-DASII. This study used principal component analysis method inorder to measure disability score.Then, logistic regression method was used to determine risk factors of disability. There are variousfactors influencing disability status in NAD post tsunami, i. e., age, gender, education, history of chronicdiseases, economic status, and living areas (urban/rural or with(out) conflict history). Disabil...
Status Kesehatan Masyarakat Dan Faktor-Faktor Yang Berhubungan DI Nanggroe Aceh Darussalam
This study describes community health status in NAD Province after tsunami disaster and its relat... more This study describes community health status in NAD Province after tsunami disaster and its relatedfactors. Health status was obtained from data of "Surkesda NAD 2006" which included questions ofphysical and mental health of respondents aged 15 years in the past month. Set of questions used wasadapted from general framework of International Classification of Functioning, Disability and Health(ICF) which include 8 domains, i.e., mobility, personal healthcare, pain and discomfort, cognitive,public relation, vision, sleep disorder and, affection. Statistical method used to analyse relation andcontribution of various study variables was logistic regression. The result showed that 74 percent ofrespondents reported generally in good health status at the time of interview. The percentages bydistrict varied, from the lowest for Gayo Lues (44 percent) to the highest for Banda Aceh (89 percent).When respondents referred to their health status in the past month, based on question for...
Global Journal of Health Science, 2020
BACKGROUND: The prevalence among adult men in Indonesia is among the highest in the world. Object... more BACKGROUND: The prevalence among adult men in Indonesia is among the highest in the world. Objective: Our study examines the hotspots and regional variation in smoking prevalence among 514 districts in Indonesia. METHODS: Taking advantage of the latest national health survey (Basic Health Research, Riskesdas 2018), which included smoking prevalence representative at the district level. We assessed the smoking prevalence among male and female adults (15+ years) and youth (13-14 years). We conducted geospatial analyses, using ArcMap 10.6, including quintile analysis (mapping the smoking prevalence by quintile for each district) and hotspot analysis (using Getis-Ord Gi* statistics to produce the hotspots, areas with a significantly higher density of advertisements). We also conducted quantitative analyses, using Stata 15.1, on geographic disparity, including region and urbanicity. RESULTS: We found huge disparity in smoking prevalence between districts, ranging from 9 to 81% for men, 0...
Populasi, 2016
Total Fertility Rate (TFR) is the average number of children born alive by a number of women at t... more Total Fertility Rate (TFR) is the average number of children born alive by a number of women at the end of their reproductive period. TFR is one indicator of health development, especially maternal health in the country. Therefore, target of reducing the birth rate is still prioritized in RPJMN 2015-2019. Indirect method is more appropriate to calculate TFR, such as own-method children. Population of this study is women and their children in the same househoold with women of childbearing aged 15-49 years and children under five who live with their parents as sampling unit. Children under five in this analysis are the biological children while step children will be included in order to enhance the number children. The calculation based on 2013 Riskesdas (Riset Kesehatan Dasar) shows higher TFR compared to 2012 DHS (Demographic and Health Survey) which was 3.2 at national level. ASFR (Age Specific Fertility Rate) pattern shows highest fertility rate for age of 20-24, while it was seco...
GIZI INDONESIA, 2014
The prevalence of malnutrition in Indonesia in 2003 is 19 percents; three percents of them are se... more The prevalence of malnutrition in Indonesia in 2003 is 19 percents; three percents of them are severe malnutrition. Study on the age beginning deviation of growth failure and the extent of the deficit in body weight of underfive children in Indonesia is scarce. We analysed 1694 records of children underfive year old from National Household Survey (SKRT) having complete data in weight, height and age. The study revealed that 42.9% children underfives suffered from growth failure, in which the magnitude was greater in rural than urban e.i. 53.8% and 46.2% respectively growth failure started. In the age 4 months, infant begins deficit his her body weight and the peak of the deficit is infant in six months e.i 21.05%. This analysis supports international finding that deviation in growth failure begin at 4 month for Indonesian children should be considered
Nutrients, 2019
Indonesia is ranked fifth among countries with the highest burden of stunting in children under f... more Indonesia is ranked fifth among countries with the highest burden of stunting in children under five. This study aims to examine the determinants of stunting in children aged 0–2 years in Indonesia using data derived from the 2013 Indonesia Basic Health Survey. Twenty potential predictors of stunting, categorized into household and housing characteristics; maternal and paternal characteristics; antenatal care services and child characteristics were analyzed. Multilevel analyses were performed to examine the role of cluster/district/provincial differences, as well as individual/household level characteristics and stunting status. Of 24,657 children analyzed, 33.7% (95%CI: 32.8%–34.7%) were stunted. The odds of stunting increased significantly among children living in households with three or more children under five-years-old (aOR = 1.33, 95%CI: 1.03–1.72), households with five to seven household members (aOR =1.11; 95%CI: 1.03–1.20), children whose mothers during pregnancy attended ...
Panduan Manajemen Penelitian Kuantitatif
Lembaga Penerbit Badan Penelitian dan Pengembangan Kesehatan eBooks, 2018
PLOS ONE
Background and objectivesAnemia remains a major public health problem worldwide. This study exami... more Background and objectivesAnemia remains a major public health problem worldwide. This study examined the relationship between anemia and the nutritional status of non-pregnant women aged 19–49 years in Indonesia.Methods and study designThe data were derived from the 2018 Basic Health Research Data of Indonesia. We used information from 11,471 non-pregnant women aged 19–49 years. The dependent variable was anemia (hemoglobin level <12 g/dL). The independent variable was women’s nutritional status, a combined indicator of body mass index (BMI) and mid-upper arm circumference (MUAC). Our analysis controlled for women’s age, education, physical activity, fruit and vegetable consumption, and the presence of communicable or non-communicable diseases. We performed logistic regression analyses.ResultsThe prevalence of anemia in non-pregnant women aged 19–49 years was 22.3% (95% confidence interval [CI]: 21.4–23.3). Women with overweight and obesity were less likely to develop anemia than...
Pola Pertolongan Persalinan 5 Tahun Terakhir DI Indonesia
Tlrr l~zforni~ltion o n Inclone.sia del ivev 's pattern at rural arid urbu~i ~~re i r htised ... more Tlrr l~zforni~ltion o n Inclone.sia del ivev 's pattern at rural arid urbu~i ~~re i r htised on conzrnunit~~ dirtu in ,five years periocls (1 996-2000) was taken ,f~;onz SUSENAS 2001 (hrrtionul Soc.ic11 L~JIO' Eco~ioinic. Survey 2001). This analysis was sepuruted in s i . ~ rc~giorr.~: N~lsll Tenggura & PUJ)I.LU, Sulawe.si. Kulinzantun. Jal'u. Szmiuter*tr uncl Buli. The arral\:\is .shower1 that duriirg 1996-2000 there was slightly increrrsirlg proportion c!f'rleliverv bjl lre~~lrlr i1.orkei-s in rzu*ul dun ~rrban ~treu. The hldone.sian turget of birth cielive/?l uttenclerl b ~ ? he~rlth ~.or*kc)r i 2000 was 80%. f i e target was achievecl in all ~Lrhun L W ~ L I S of'tlre six regiorr.~ irirrl irr rzlr~rl urea of Bali, hut not in the rural areas oj'the other 5 I-egions. There was LI lurge tli.vc.r.ep~iric:\betweerl ~ L I I . ~ I I arrd L I I ~ ~ ~ Y I areas. The largest rliscrepuncl; was 46'X in the regioir of ' Nus~r Terrgguru & Pclpzlu. ,fbllowecl by...
BMC Public Health, 2020
Background Based on Basic Health Research (RISKESDAS) conducted by Ministry of Health, Indonesia,... more Background Based on Basic Health Research (RISKESDAS) conducted by Ministry of Health, Indonesia, prediabetes prevalence tends to increase from 2007 until 2018. The numbers are relatively higher in rural than those in urban area despite of small discrepancies between the two (~ 2–4%). The purpose of this study was to identify urban-rural differences in potential determinants for prediabetes in Indonesia. Methods This analysis used secondary data collected from nationwide Health Survey in 2018. Respondents were aged ≥15 years who met inclusion criteria of analysis with no history of diabetes mellitus. Prediabetes criteria followed American Diabetes Association 2019. Multiple logistic regression was also employed to assess the transition probability of potential determinants for prediabetes in urban and rural Indonesia. Results Up to 44.8% of rural respondents were prediabetics versus their urban counterparts at 34.9%, yet non-response bias was observed in the two. Young adults aged 3...
Media Penelitian dan Pengembangan Kesehatan, 2019
Failure to immunization can cause serious implications for a child’s life and the health of the s... more Failure to immunization can cause serious implications for a child’s life and the health of the surrounding children.The aim of study was to assess the characteristic of children, parents and families in children who failed to obtain complete immunization. Another additional objective is to see the timeliness of each type of immunization, including HB0, BCG, DPT-HB Combo, Polio and Measles. Samples were children aged 12 to 23 months who were samples in the 2013 Riskesdas and then children’s data was merged with data on the characteristic of mothers, fathers and families. Furthermore, the history of immunization of children will be analyzed by univariate, bivariate and multivariate. Immunization data analyzed are children with immunization records and family memories. The results showed that children who do not have KMS (immunization cards), KIA (mother and child card) and other immunization records, birth places in not health facilities, birth order <2, low education of fathers a...
Delapan Domain Kesehatan Menurut “International Classification of Functioning, Disability & Health” Pada Penduduk Usia ≥ 15 Tahun Dan Faktor-Faktor Yang Memengaruhi (Analisis Lanjut Riskesdas Tahun 2007)
Buletin Penelitian Sistem Kesehatan, 2010
Pengaruh Sosial Ekonomi, Lingkungan Sehat, dan Perilaku Hidup Sehat Terhadap Status Kesehatan (Laporan Analisis Lanjut Riskesdas 2007)
Badan Penelitian dan Pengembangan Kesehatan, 2008
Gambaran Kebijakan Penyelenggaraan Kota Sehat Pada Lima Kota DI Indonesia
Media of Health Research and Development, 2007
Healthy city is one of the public health problems. The quick of growth population and development... more Healthy city is one of the public health problems. The quick of growth population and development activity has contributed the continuously decrease of the environmental quality in the city. So that, the environmental quality in the cities and regents as the Agenda 21's priority. These background has effort the government of Indonesia to announce "Healthy City " policy, as the action of community be through healthy life. The study of heal thy city has done in 5 (five) municipalities in Indonesia. To know the implementation and the action of the healthy city policy in five municipalities in Indonesia. The study has been done in 5 (five) municipalities in Indonesia such as Medan, Semarang, Denpasar, Manado and Balikpapan, Indonesia with qualitative approach to describe government policy on Healthy Cities in selected municipalities. Interview technique had been undertaken by in depth interview and focus group discussion toward Municipality Officer, Municipality Developmen...
Faktor-Faktor Yang Berpengaruh Terhadap Risiko Kehamilan “4 Terlalu (4-T)” Pada Wanita Usia 10-59 Tahun (Analisis Riskesdas 2010)
Media Penelitian dan Pengembangan Kesehatan, 2015
Abstrak Tujuan penulisan ini adalah mengidentifikasi faktor-faktor tidak langsung yang dapat memp... more Abstrak Tujuan penulisan ini adalah mengidentifikasi faktor-faktor tidak langsung yang dapat mempengaruhi risiko kehamilan. Desain penelitian cross sectional. Data yang dianalisis merupakan data hasil Riset Kesehatan Dasar (Riskesdas) tahun 2010 yang telah dilaksanakan oleh Badan Litbangkes. Unit analisis adalah ibu atau wanita usia subur (WUS) yang pernah melahirkan minimal 1 anak dalam kurun waktu 5 tahun terakhir sampai dengan saat wawancara. Analisis dilakukan dengan menggunakan metode logistik regresi untuk mengetahui faktor yang paling dominan. Berdasarkan hasil analisis ditemukan bahwa variabel yang paling dominan dalam hubungan antara faktor tidak langsung dengan kejadian fisiko kehamilan 4-T (terlalu tua, terlalu muda, terlalu banyak dan terlalu dekat) adalah variabel tempat tinggal (desa/kota), tingkat pendidikan, status ekonomi, dan keinginan hamil. Ibu yang tinggal di perdesaan berpeluang 1,1 kali berisiko kehamilan 4T, sementara ibu yang berpendidikan rendah (SD ke bawah) berpeluang 1,4 kali untuk mengalami risiko kehamilan. Ibu dari keluarga miskin berpeluang 1,3 kali mengalami risiko kehamilan, sedangkan ibu yang sulit akses ke pelayanan kesehatan berpeluang 1,9 kali berisiko hamil dengan kondisi 4-T, dan ibu yang tidak/belum ingin hamil berpeluang 4,9 kali mengalami risiko kehamilan. Masalah risiko kehamilan lebih mungkin terjadi pada kelompok ibu yang tinggal di perdesaan, dengan tingkat pendidikan dan ekonomi rendah, dan kesulitan akses ke fasilitas kesehatan serta belum atau tidak menginginkan kehamilannya. Oleh sebab itu diperlukan pemerataan program jamkesmas agar keluarga tidak mampu dan yang tinggal di perdesaan semakin mudah untuk mendapat pelayanan kesehatan. Selain itu memprioritaskan pembangunan fasilitas kesehatan dan penyediaan tenaga kesehatan di perdesaan, dan juga penyuluhan tentang cara mengatur kehamilan yang sehat. Kata kunci : risiko kehamilan, WUS, 4-T Abstract The purpose of this paper is to identify factors that may indirectly affect the risk of pregnancy. Crosssectional study design. The data is from the Basic Health Research (Riskesdas) in 2010 which has been implemented by the National Health Research, Ministry of Health. The unit of analysis is the mothers or women of childbearing age (WUS) who had delivered at least one child within a period of 5 years up to the time of the interview. The analysis was performed by using logistic regression to determine the most dominant factor. Based on the analysis found the most dominant variable in the relationship between the indirect factors associated with the incidence of pregnancy risk 4-T (too old, too young, too many and too often) is variable residency (rural/urban), level of education, economic status, access to health facility and desire of pregnancy. Mothers who live in rural areas are likely 1.1 times have the chance of pregnancy risk, while mothers with low education (elementary school and below) 1.4 times as likely to experience a pregnancy risk. Then, mothers of poor families having a chance to experience 1.3 times the risk of pregnancy, whereas mothers who have difficult access to health services were likely 1.9 times at risk of pregnancy with 4-T conditions, and women who did not want to get pregnant were likely to experience 4.9 times the risk of pregnancy. Risk of pregnancy problems is more likely to occur in the group of women who live in rural areas, with low levels of education and the economy, and the difficulty of access to health facilities and does not want her pregnancy. Therefore, it requires health insurance or “jamkesmas”in order to provide an equal health services for poor people and those who living in rural areas. In addition to prioritize the provision of health facilities and health workers in rural areas, as well as counseling on how to manage a healthy pregnancy. Keywords : risk of pregnancy, fertility.
POLA PENCARIAN PENGOBATAN DI INDONESIA: Analisis Data Susenas 2001
Buletin Penelitian Kesehatan, 2003
POLA PENCARIAN PENGOBATAN DI INDONESIA: Analisis Data Susenas 2001
Frekuensi Diare Ditinjau Dari Beberapa Faktor Yang Mempengaruhinya
Jurnal Ekologi Kesehatan, 2002
Perjalanan Transisi Epidemiologi di Indonesia dan Implikasi Penanganannya, Study Mortalitas-survei Kesehatan Rumah Tangga (1986-2001)
Indonesian Bulletin of Health Research, Sep 1, 2003
Background: Housing is a basic human need that can affect health. To achieve a decent standard of... more Background: Housing is a basic human need that can affect health. To achieve a decent standard of living, people should live in an adequate housing, so that its occupants have a safe and healthy environment. Condition of the house is part of the quality of the environment. One of the environment-related diseases is ARI and diarrhea. Objectives: This study determines trends of ARI and diarrheal diseases and their relation to healthy houses in Indonesia in the last ten years. Methods: This analysis combines two data sources that are Riskesdas 2007-2010 and Susenas 2001-2010. The design of Riskesdas and Susenas is descriptive cross sectional. Research area for this analysis covers the entire province in Indonesia. The limitation of this analysis is only eight variables that can be used from data sources every year, beside 14 indicators of healthy houses. Results: This study indicates that: 1. Trends of ARI and diarrheal disease against healthy houses are similar. If percentage of healt...
Nutrients, 2022
Background: Globally, in 2020, 45 million children were estimated to be wasted, and 149 million c... more Background: Globally, in 2020, 45 million children were estimated to be wasted, and 149 million children under five years of age were estimated to be stunted. Undernutrition makes children in particular much more vulnerable to disease and death. Our study aims to examine geographic and socioeconomic disparities in child undernutrition across 514 districts in Indonesia. Methods: Employing both geospatial and quantitative analyses (descriptive statistics and Ordinary Least Squares regressions), we analyzed the disparities in the prevalence of underweight, severe underweight, wasting, severe wasting, stunting, and severe stunting among districts. Child undernutrition data were from Indonesia Basic Health Survey (Riskesdas) 2018, which included a sample of 93,620 children under five years. Socioeconomic data were from the World Bank. Results: We found a relatively large geographic and socioeconomic disparity in child undernutrition in Indonesia. By region, districts in the Papua region ...
Faktor-Faktor Yang Mempengaruhi Status Disabilitas Penduduk ≥ 15 Tahun DI Provinsi Nanggroe Aceh Darussalam
Analysis of disability status of population aged 15 years and above in Nanggroe Aceh Darussalam(N... more Analysis of disability status of population aged 15 years and above in Nanggroe Aceh Darussalam(NAD) has the objective to further depict disability status and related factors in NAD post tsunami. Thestudy used data from Post Tsunami Regional Health Survey (Surkesda) NAD 2006 and National SocioeconomicSurvey (Susenas) 2005 (Core), included 13.227 respondent. The questions on disability (WHODAS-II), adapting concept oflCF (International Classification of Functioning, Disability and Health),were included in Surkesda NAD 2006. Disability status was rated based on responses to 12 questions ofWHO-DASII. This study used principal component analysis method inorder to measure disability score.Then, logistic regression method was used to determine risk factors of disability. There are variousfactors influencing disability status in NAD post tsunami, i. e., age, gender, education, history of chronicdiseases, economic status, and living areas (urban/rural or with(out) conflict history). Disabil...
Status Kesehatan Masyarakat Dan Faktor-Faktor Yang Berhubungan DI Nanggroe Aceh Darussalam
This study describes community health status in NAD Province after tsunami disaster and its relat... more This study describes community health status in NAD Province after tsunami disaster and its relatedfactors. Health status was obtained from data of "Surkesda NAD 2006" which included questions ofphysical and mental health of respondents aged 15 years in the past month. Set of questions used wasadapted from general framework of International Classification of Functioning, Disability and Health(ICF) which include 8 domains, i.e., mobility, personal healthcare, pain and discomfort, cognitive,public relation, vision, sleep disorder and, affection. Statistical method used to analyse relation andcontribution of various study variables was logistic regression. The result showed that 74 percent ofrespondents reported generally in good health status at the time of interview. The percentages bydistrict varied, from the lowest for Gayo Lues (44 percent) to the highest for Banda Aceh (89 percent).When respondents referred to their health status in the past month, based on question for...
Global Journal of Health Science, 2020
BACKGROUND: The prevalence among adult men in Indonesia is among the highest in the world. Object... more BACKGROUND: The prevalence among adult men in Indonesia is among the highest in the world. Objective: Our study examines the hotspots and regional variation in smoking prevalence among 514 districts in Indonesia. METHODS: Taking advantage of the latest national health survey (Basic Health Research, Riskesdas 2018), which included smoking prevalence representative at the district level. We assessed the smoking prevalence among male and female adults (15+ years) and youth (13-14 years). We conducted geospatial analyses, using ArcMap 10.6, including quintile analysis (mapping the smoking prevalence by quintile for each district) and hotspot analysis (using Getis-Ord Gi* statistics to produce the hotspots, areas with a significantly higher density of advertisements). We also conducted quantitative analyses, using Stata 15.1, on geographic disparity, including region and urbanicity. RESULTS: We found huge disparity in smoking prevalence between districts, ranging from 9 to 81% for men, 0...
Populasi, 2016
Total Fertility Rate (TFR) is the average number of children born alive by a number of women at t... more Total Fertility Rate (TFR) is the average number of children born alive by a number of women at the end of their reproductive period. TFR is one indicator of health development, especially maternal health in the country. Therefore, target of reducing the birth rate is still prioritized in RPJMN 2015-2019. Indirect method is more appropriate to calculate TFR, such as own-method children. Population of this study is women and their children in the same househoold with women of childbearing aged 15-49 years and children under five who live with their parents as sampling unit. Children under five in this analysis are the biological children while step children will be included in order to enhance the number children. The calculation based on 2013 Riskesdas (Riset Kesehatan Dasar) shows higher TFR compared to 2012 DHS (Demographic and Health Survey) which was 3.2 at national level. ASFR (Age Specific Fertility Rate) pattern shows highest fertility rate for age of 20-24, while it was seco...
GIZI INDONESIA, 2014
The prevalence of malnutrition in Indonesia in 2003 is 19 percents; three percents of them are se... more The prevalence of malnutrition in Indonesia in 2003 is 19 percents; three percents of them are severe malnutrition. Study on the age beginning deviation of growth failure and the extent of the deficit in body weight of underfive children in Indonesia is scarce. We analysed 1694 records of children underfive year old from National Household Survey (SKRT) having complete data in weight, height and age. The study revealed that 42.9% children underfives suffered from growth failure, in which the magnitude was greater in rural than urban e.i. 53.8% and 46.2% respectively growth failure started. In the age 4 months, infant begins deficit his her body weight and the peak of the deficit is infant in six months e.i 21.05%. This analysis supports international finding that deviation in growth failure begin at 4 month for Indonesian children should be considered
Nutrients, 2019
Indonesia is ranked fifth among countries with the highest burden of stunting in children under f... more Indonesia is ranked fifth among countries with the highest burden of stunting in children under five. This study aims to examine the determinants of stunting in children aged 0–2 years in Indonesia using data derived from the 2013 Indonesia Basic Health Survey. Twenty potential predictors of stunting, categorized into household and housing characteristics; maternal and paternal characteristics; antenatal care services and child characteristics were analyzed. Multilevel analyses were performed to examine the role of cluster/district/provincial differences, as well as individual/household level characteristics and stunting status. Of 24,657 children analyzed, 33.7% (95%CI: 32.8%–34.7%) were stunted. The odds of stunting increased significantly among children living in households with three or more children under five-years-old (aOR = 1.33, 95%CI: 1.03–1.72), households with five to seven household members (aOR =1.11; 95%CI: 1.03–1.20), children whose mothers during pregnancy attended ...