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Subardin, Pash Panggabean, Esron Sirait, I Kadek Wartana, Veni Momalita Kolupe, Rahma Dwi Larasati, Ridwan Amiruddin" "autores" => array:8 [ 0 => array:4 [ "nombre" => "Rosmala" "apellidos" => "Nur" "email" => array:2 [ 0 => "nurrosmala09@gmail.com" 1 => "pmc@agri.unhas.ac.id" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "A.B." "apellidos" => "Subardin" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 2 => array:3 [ "nombre" => "Pash" "apellidos" => "Panggabean" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 3 => array:3 [ "nombre" => "Esron" "apellidos" => "Sirait" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 4 => array:3 [ "nombre" => "I Kadek" "apellidos" => "Wartana" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 5 => array:3 [ "nombre" => "Veni Momalita" "apellidos" => "Kolupe" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 6 => array:3 [ "nombre" => "Rahma Dwi" "apellidos" => "Larasati" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 7 => array:3 [ "nombre" => "Ridwan" "apellidos" => "Amiruddin" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] ] "afiliaciones" => array:3 [ 0 => array:3 [ "entidad" => "Public Health Study Program, Faculty of Public Health, Universitas Tadulako, Indonesia" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Public Health Study Program, Sekolah Tinggi Indonesia Jaya, Indonesia" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Faculty of Public Health, Universitas Hasanuddin, Indonesia" "etiqueta" => "c" "identificador" => "aff0015" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Data released by the National Population and Family Planning Board (BKKBN) show that unmet need accounts for 75% of the causes of maternal mortality in Indonesia and affects population growth.<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">1</span></a> One of the issues that has become the focus of the government is the tendency of the high number of unmet need since it affects the family planning program. High number of unmet need is the cause of high Total Fertility Rate (TFR) and unwanted pregnancy.<a class="elsevierStyleCrossRefs" href="#bib0200"><span class="elsevierStyleSup">2–4</span></a> Unmet need certainly has an impact on abortion because of unwanted pregnancy, short interpregnancy interval, too many pregnancies, as well as complications of disease during pregnancy, difficulty during labor, and puerperal complications.<a class="elsevierStyleCrossRefs" href="#bib0215"><span class="elsevierStyleSup">5–7</span></a> Report on the results of unmet need is very important to get an overview of the achievement of the family planning program and to find out the state of the untapped targets.<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">8–10</span></a> By knowing the proportion of these groups, the size of the potential targets that still need to be invited for family planning will be found.<a class="elsevierStyleCrossRefs" href="#bib0245"><span class="elsevierStyleSup">11,12</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">The above findings support a notion that the high number of unmet needs causes a high fertility rate, which can lead to an increasingly large and uncontrolled number of births.<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">13</span></a> Indonesia is one of the developing countries with a large population.<a class="elsevierStyleCrossRefs" href="#bib0260"><span class="elsevierStyleSup">14–16</span></a> Another impact caused by unmet need for family planning is Maternal Mortality Ratio (MMR) which continues to increase. Although it has decreased, from 359 per 100,000 live births in 2012 to 190 per 100,000 live births in 2013, MMR in Indonesia is still considered high. It is because the MMR has not been able to achieve MDGs target in 2015, which is 102 per 100,000 live births.<a class="elsevierStyleCrossRef" href="#bib0275"><span class="elsevierStyleSup">17</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Furthermore, in Central Sulawesi Province, the number of unmet needs reached 11.5%, which consisted of 117,954 people who wanted to space their pregnancies, but they did not use contraceptives. There were also 70,825 people who did not want children anymore, but they did not use contraceptives.<a class="elsevierStyleCrossRefs" href="#bib0275"><span class="elsevierStyleSup">17–20</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">Districts or cities with the highest number of unmet needs in Central Sulawesi in 2019 include Sigi Regency (21.1%), Toli-toli (18.5%) and Banggai Laut (18.2%). Referring to the national target (17.5%), Sigi Regency is still in the high category.<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">19</span></a> Data from the Sigi Regency Health Office, Central Sulawesi, shows that the number of couples of reproductive age who were not on family planning has increased every year (21% in 2018 and 22.1% in 2019).<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">19</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">Based on data from the Population Control and Family Planning Office of Sigi Regency in 2019, Marawola sub-district has the highest number of couples of reproductive age who were not on family planning (995 people). Based on these data, the researchers were interested in examining “The factors associated with the incidence of unmet need for family planning in couples of reproductive age in the working area of Marawola Health Center, Sigi Regency, Central Sulawesi”. Variables studied included age, education, history of contraceptive use, and husband's support.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Methods</span><p id="par0030" class="elsevierStylePara elsevierViewall">This research is an analytic observational study with a cross-sectional study design which was conducted to see the relationship between independent variables (age, education, family planning history, and husband's support) and dependent variable (unmet need for family planning). This research was conducted on September 9–19, 2020 in the working area of Marawola Health Center, Sigi Regency, Central Sulawesi Province. Data were collected using a questionnaire which were analyzed using univariate and bivariate analysis utilizing Chi-Square test. Population in this study were 4715 couples of reproductive age in the working area of Marawola Health Center. By using Lemeshow's calculation technique and simple random sampling, a sample of 90 people was obtained. Samples were respondents who met the following inclusion criteria:<ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">1.</span><p id="par0035" class="elsevierStylePara elsevierViewall">Respondents were couples of reproductive age.</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">2.</span><p id="par0040" class="elsevierStylePara elsevierViewall">Respondents were couples of reproductive age who were on family planning and who were not on family planning.</p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">3.</span><p id="par0045" class="elsevierStylePara elsevierViewall">Respondents were willing to be interviewed and could speak Indonesian.</p></li></ul></p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Results</span><p id="par0050" class="elsevierStylePara elsevierViewall">The distribution of characteristics of respondents according to age, family planning history, husband's support, unwanted pregnancy, fertility, and unmet need can be seen in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0055" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> shows that there are 50 respondents (55.6%) with a non-ideal reproductive age (>35 years) and 40 respondents (44.4%) with an ideal reproductive age (20–35 years). Moreover, there were 20 respondents (22.2%) who had had family planning, and 70 respondents (77.8%) who had never had family planning. Additionally, there were 20 respondents (22.2%) who received support from their husbands for using contraceptives, while the remaining 70 respondents (77.8%) did not receive support from their husbands to use contraceptives. There were 50 respondents (55.6%) with a low level of education and 40 respondents (44.4) with a high level of education. In addition, there were 55 respondents (61.1%) with unmet need and 35 respondents (38.9%) with met need.</p><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Factors related to unmet need</span><p id="par0060" class="elsevierStylePara elsevierViewall">To determine the relationship between age, education, family planning history, and husband's support with the incidence of unmet need for family planning in the working area of Marawola Health Center, data were analyzed using cross tabulation on the Chi Square test. The results of the analysis can be seen in the following <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>.</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0065" class="elsevierStylePara elsevierViewall">Based on the data in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>, there are 37 out of 49 respondents (75.5%) with non-ideal age experiencing unmet need for family planning with <span class="elsevierStyleItalic">p</span> (0.004)<span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">α</span> (0.05). It indicates that there is a relationship between age and the incidence of unmet need for family planning. More importantly, <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> also shows that there are 48 of the 68 respondents (70.58%) who have never had family planning experiencing unmet need for family planning with <span class="elsevierStyleItalic">p</span> (0.002)<span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">α</span>(0.05). It demonstrates that there is a relationship between family planning history and the incidence of unmet need for family planning.</p><p id="par0070" class="elsevierStylePara elsevierViewall">Based on the table above, there are 50 of 71 respondents (70.42%) who do not get husband's support experiencing unmet need for family planning with <span class="elsevierStyleItalic">p</span> (0.003)<span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">α</span> (0.05). It shows that there is a relationship between husband's support and the incidence of unmet need for family planning. Last but not least, the table above demonstrates that 50 out of 62 respondents (80.64%) with low levels of education experiencing unmet need for family planning with <span class="elsevierStyleItalic">p</span> (0.002)<span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">α</span> (0.05). It shows that there is a relationship between level of education and the incidence of unmet need for family planning.</p></span></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Discussion</span><p id="par0075" class="elsevierStylePara elsevierViewall">Results of the analysis using Chi-Square carried out on age and the incidence of unmet need for family planning obtained p value of (0.004)<span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">α</span> (0.05). Thus, H0 in this study was rejected which indicates that there was a relationship between age and the incidence of unmet need for family planning. It is in line with the research assumption that there is a relationship between age and unmet need. This is very likely due to the large number of respondents who had early marriage so they do not understand the importance of family planning.<a class="elsevierStyleCrossRefs" href="#bib0295"><span class="elsevierStyleSup">21,22</span></a> They also do not have sufficient knowledge on the impact of not using contraceptives.</p><p id="par0080" class="elsevierStylePara elsevierViewall">The results of this study are in line with research conducted by Nurjannah (2017) which obtained <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.000, less than <span class="elsevierStyleItalic">α</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.05. It showed that there was a relationship between age and the incidence of unmet need.<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">23</span></a> Age is one of factors influencing the incidence of unmet need.<a class="elsevierStyleCrossRefs" href="#bib0310"><span class="elsevierStyleSup">24–26</span></a> Besides, a research conducted by Osterlund et al. (2016) found that age is a factor in unmet need for family planning, because the higher the age, the higher the woman's need for contraception.<a class="elsevierStyleCrossRefs" href="#bib0325"><span class="elsevierStyleSup">27,28</span></a></p><p id="par0085" class="elsevierStylePara elsevierViewall">Moreover, results of the analysis conducted using Chi-Square on education and the incidence of unmet need for family planning obtained <span class="elsevierStyleItalic">p</span> value of (0.005)<span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">α</span> (0.05). Thus, H0 in this study was rejected, which means that there was a relationship between education and the incidence of unmet need for family planning. According to the researchers’ assumptions, this can happen because the education that a person is undergoing has an influence on increasing thinking skills. In other words, someone with a higher education will be able to make better decisions than someone with a lower level of education. A good education provides broad insights so that the understanding process can run well.</p><p id="par0090" class="elsevierStylePara elsevierViewall">Couples of reproductive age with a high level of education can better receive knowledge about Unmet Need.<a class="elsevierStyleCrossRefs" href="#bib0335"><span class="elsevierStyleSup">29,30</span></a> This is consistent with the modification between Anderson's (1974) and Lawrence Green's theoretical framework which claimed that education is included in a predisposing factor, one of the factors that can strengthen human behavior.<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">2</span></a> In this case, the behavior referred to is the use of contraceptives in order to reduce the incidence of unmet need for family planning.<a class="elsevierStyleCrossRefs" href="#bib0345"><span class="elsevierStyleSup">31–33</span></a></p><p id="par0095" class="elsevierStylePara elsevierViewall">More importantly, results of the analysis using Chi-Square carried out on family planning history and the incidence of unmet need for family planning obtained <span class="elsevierStyleItalic">p</span> (0.003)<span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">α</span> (0.05). Thus, H0 in this study was rejected, which means that there was a relationship between family planning history and the incidence of unmet need for family planning. Based on the researchers’ assumptions, it can happen because of the side effects of past contraceptive use. In addition, those who decided not to use contraceptives were afraid of its effects as a result of not understanding its benefits.</p><p id="par0100" class="elsevierStylePara elsevierViewall">The results of this study are in line with a research which obtained <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.027, less than <span class="elsevierStyleItalic">α</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.05. It shows that there is a relationship between family planning history and the incidence of unmet need for family planning because of the fear of the acceptors. It is also supported by a research, it is known that <span class="elsevierStyleItalic">p</span> value<span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">α</span> (0.001<span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>0.05), which means that there is a relationship between family planning history and the incidence of unmet need for family planning.<a class="elsevierStyleCrossRefs" href="#bib0360"><span class="elsevierStyleSup">34,35</span></a></p><p id="par0105" class="elsevierStylePara elsevierViewall">Results of the analysis using Chi-Square carried out on husband's support and the incidence of unmet need for family planning obtained <span class="elsevierStyleItalic">p</span> value of (0.002)<span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">α</span> (0.05). Thus, Ho in this study was rejected, which means that there was a relationship between husband's support for family planning and the incidence of unmet need for family planning. Based on the researchers’ assumptions, it occurs since the husband is dominant in making decisions. Gender disparities are very common in women's reproductive health issues.</p><p id="par0110" class="elsevierStylePara elsevierViewall">Husband's support in this study is the extent to which the husband is involved in supporting the wife's decision to use contraceptives, such as reasons for choosing contraceptives, determining the number of children, monitoring the rules for using contraceptives, monitoring side effects, looking for other alternatives if the contraceptive method used is not satisfactory, and willing to use contraceptives in accordance with the wife's condition.<a class="elsevierStyleCrossRefs" href="#bib0345"><span class="elsevierStyleSup">31,36–38</span></a></p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Conclusion</span><p id="par0115" class="elsevierStylePara elsevierViewall">Based on the results of the study and discussion, this study concludes that there is a significant relationship between age, education, family planning history and husband's support for family planning with the incidence of unmet need for family planning in couples of reproductive age in the working area of Marawola Health Center. Women of reproductive age who have husbands who do not support family planning tend to experience unmet need for family planning.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Conflict of interest</span><p id="par0120" class="elsevierStylePara elsevierViewall">The authors declare no conflict of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:9 [ 0 => array:3 [ "identificador" => "xres1632452" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Method" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Result" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1456604" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 3 => array:2 [ "identificador" => "sec0010" "titulo" => "Methods" ] 4 => array:3 [ "identificador" => "sec0015" "titulo" => "Results" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "sec0020" "titulo" => "Factors related to unmet need" ] ] ] 5 => array:2 [ "identificador" => "sec0025" "titulo" => "Discussion" ] 6 => array:2 [ "identificador" => "sec0030" "titulo" => "Conclusion" ] 7 => array:2 [ "identificador" => "sec0035" "titulo" => "Conflict of interest" ] 8 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2021-06-28" "fechaAceptado" => "2021-07-30" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1456604" "palabras" => array:5 [ 0 => "Unmet need for family planning" 1 => "Age" 2 => "Education" 3 => "Family planning history" 4 => "Husband's support" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">This study aimed at determining factors associated with the incidence of unmet need for family planning among couples of reproductive age in the working area of Marawola Health Center, Sigi Regency.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Method</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">This research was an analytic observational study with a cross-sectional study design. The variables in this study included age, education, family planning history, husband's support and unmet need. Data were in the form of primary and secondary data. Data were collected using a questionnaire. The data were analyzed using univariate and bivariate analysis utilizing the Chi-Square test. Population in this study were 4715 couples of reproductive age in the working area of Marawola Health Center. By using Lemeshow's calculation technique and simple random sampling, a sample of 90 people was obtained.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Result</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">The results demonstrated a relationship between age and the incidence of unmet need with <span class="elsevierStyleItalic">p</span> value<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.004 (<span class="elsevierStyleItalic">p</span>-value ≤0.05); education and the incidence of unmet deed with <span class="elsevierStyleItalic">p</span> value<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.005 (<span class="elsevierStyleItalic">p</span>-value ≤0.05); family planning history and the incidence of unmet need with <span class="elsevierStyleItalic">p</span> value<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.002 (<span class="elsevierStyleItalic">p</span>-value ≤0.05); as well as husband's support and the incidence of unmet need with <span class="elsevierStyleItalic">p</span> value<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.001 (<span class="elsevierStyleItalic">p</span>-value ≤0.05).</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">This study concludes that there is a relationship between age, education, family planning history, and husband's support and the incidence of unmet need for family planning in the working area of Marawola Health Center, Sigi Regency. Therefore, health workers, local governments, and traditional institutions are expected to provide education about family planning to couples of reproductive age (husband and wife) as an attempt to reduce the number of unmet needs in the working area of Marawola Health Center.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Method" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Result" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Peer-review under responsibility of the scientific committee of the 3rd International Nursing, Health Science Students & Health Care Professionals Conference. Full-text and the content of it is under responsibility of authors of the article.</p>" ] ] "multimedia" => array:2 [ 0 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variables \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Frequency \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Percentage (%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Age</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Non-ideal age \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">55.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Ideal age \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">40 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">44.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Family planning history</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Ever \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">22.2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Never \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">70 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">77.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Husband's support for family planning</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Support \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">22.2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Does not support \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">70 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">77.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Education</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Low \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">55.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>High \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">40 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">44.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Unmet need for family planning</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Unmet need \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">55 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">61.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Met need \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">35 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">38.9 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2781680.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Characteristics of respondents in the working area of Marawola health center.</p>" ] ] 1 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Variables \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="4" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">The incidence of unmet need for family planning</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Total</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"><span class="elsevierStyleItalic">p</span>-Value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Unmet need \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">% \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Met need \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">% \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">N</span> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">% \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="8" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Age</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Non-Ideal Age \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">75.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">49 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.004 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Ideal Age \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">43.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">41 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="8" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Family planning history</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Ever \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">31.81 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">68.18 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">22 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.002 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Never \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">48 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">70.58 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">29.41 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">68 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="8" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Husband's support for family planning</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Support \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26.31 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">73.68 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.003 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Does Not Support \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">70.42 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">21 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">29.57 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">71 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="8" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Education</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Low \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">80.64 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19.23 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">62 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.005 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; 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año/Mes | Html | Total | |
---|---|---|---|
2024 Noviembre | 2 | 1 | 3 |
2024 Octubre | 63 | 55 | 118 |
2024 Septiembre | 53 | 24 | 77 |
2024 Agosto | 76 | 38 | 114 |
2024 Julio | 47 | 30 | 77 |
2024 Junio | 39 | 14 | 53 |
2024 Mayo | 47 | 28 | 75 |
2024 Abril | 51 | 24 | 75 |
2024 Marzo | 41 | 20 | 61 |
2024 Febrero | 37 | 39 | 76 |
2024 Enero | 47 | 19 | 66 |
2023 Diciembre | 42 | 25 | 67 |
2023 Noviembre | 53 | 40 | 93 |
2023 Octubre | 42 | 17 | 59 |
2023 Septiembre | 47 | 24 | 71 |
2023 Agosto | 49 | 11 | 60 |
2023 Julio | 78 | 32 | 110 |
2023 Junio | 90 | 13 | 103 |
2023 Mayo | 62 | 14 | 76 |
2023 Abril | 40 | 30 | 70 |
2023 Marzo | 56 | 34 | 90 |
2023 Febrero | 29 | 21 | 50 |
2023 Enero | 39 | 20 | 59 |
2022 Diciembre | 39 | 22 | 61 |
2022 Noviembre | 65 | 48 | 113 |
2022 Octubre | 48 | 47 | 95 |
2022 Septiembre | 40 | 26 | 66 |
2022 Agosto | 45 | 68 | 113 |
2022 Julio | 50 | 56 | 106 |
2022 Junio | 36 | 52 | 88 |
2022 Mayo | 42 | 54 | 96 |
2022 Abril | 42 | 51 | 93 |
2022 Marzo | 49 | 57 | 106 |
2022 Febrero | 36 | 48 | 84 |
2022 Enero | 44 | 71 | 115 |
2021 Diciembre | 13 | 12 | 25 |