The achievement of gender equality and ending all forms of disparity in the spheres of sexual and reproductive health are critical components of sustainable development goals. We endeavor to investigate the characteristics and/or structural sources of the gender gap in the reproductive transition among Ethiopian youths. The analysis was carried out using parts of data drawn from the 2011 and 2016 Ethiopian Demographic and Health Survey. The decomposition of the gender gap in the reproductive transition of youths into components was made using the Blinder-Oaxaca decomposition analysis for non-linear models. The results demonstrate that the delay in the age at first marriage among the youth was accompanied by an increase in the prevalence of premarital sex. Furthermore, the findings show that the gender gap in reproductive transition is triggered by both compositional and structural effects of covariates such as education, modern contraceptive use, and media exposure. Thus, in addition to reducing inequalities in education, media exposure, and deprivation between male and female youths, working on the structural components is recommended to close the gender gap in the reproductive transition of youths.
{"title":"Explaining the gender gap in reproductive transition of Ethiopian youths: A decomposition analysis","authors":"T. Dejene, E. Gurmu","doi":"10.36922/ijps.476","DOIUrl":"https://doi.org/10.36922/ijps.476","url":null,"abstract":"The achievement of gender equality and ending all forms of disparity in the spheres of sexual and reproductive health are critical components of sustainable development goals. We endeavor to investigate the characteristics and/or structural sources of the gender gap in the reproductive transition among Ethiopian youths. The analysis was carried out using parts of data drawn from the 2011 and 2016 Ethiopian Demographic and Health Survey. The decomposition of the gender gap in the reproductive transition of youths into components was made using the Blinder-Oaxaca decomposition analysis for non-linear models. The results demonstrate that the delay in the age at first marriage among the youth was accompanied by an increase in the prevalence of premarital sex. Furthermore, the findings show that the gender gap in reproductive transition is triggered by both compositional and structural effects of covariates such as education, modern contraceptive use, and media exposure. Thus, in addition to reducing inequalities in education, media exposure, and deprivation between male and female youths, working on the structural components is recommended to close the gender gap in the reproductive transition of youths.","PeriodicalId":73473,"journal":{"name":"International journal of population studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45597193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Inequalities in child survival are a global public health concern. Over the past decade, Ethiopia has made remarkable progress in improving child survival. Despite this promising development, inequalities in child survival among the various population groups remained a pressing public health concern. The purpose of this paper is to examine the dominant drivers of inequality in child survival indicators (undernutrition, anemia, and under-five mortality) in Ethiopia. Dominance analysis was used based on a pooled total sample of 48,422 under-five children drawn from five rounds of Ethiopia Demographic and Health Surveys conducted from year 2000 to 2019. Childhood undernutrition, childhood anemia, and under-five mortality were the three outcome variables, and the five dimensions of inequality were considered as key predictor variables. The dominance analysis revealed that maternal education, place of residence, and household wealth index were the three most dominant drivers of inequalities in childhood undernutrition, accounting for 83.48% of the predicted variances. The regional category was found to be the first-ranked key driver of inequalities in childhood anemia, accounting for 50.56% of the predicted variance. The dominance analysis also indicated that maternal education, child sex, and place of residence were the three most dominant drivers of inequality in under-five mortality, accounting for 89.3% of the predicted variance. This study provides empirical evidence that maternal education (individual level), household asset based wealth index (household level), and place of residence (community level) were the most dominant drivers of inequality in child survival. This suggests interventions in reducing inequalities in child survival need to start at the community level, notwithstanding the importance of household and individual level influences.
{"title":"Exploring the most dominant drivers of inequalities in child survival in Ethiopia: Dominance analysis","authors":"N. S. Tessema, N. Geda","doi":"10.36922/ijps.427","DOIUrl":"https://doi.org/10.36922/ijps.427","url":null,"abstract":"Inequalities in child survival are a global public health concern. Over the past decade, Ethiopia has made remarkable progress in improving child survival. Despite this promising development, inequalities in child survival among the various population groups remained a pressing public health concern. The purpose of this paper is to examine the dominant drivers of inequality in child survival indicators (undernutrition, anemia, and under-five mortality) in Ethiopia. Dominance analysis was used based on a pooled total sample of 48,422 under-five children drawn from five rounds of Ethiopia Demographic and Health Surveys conducted from year 2000 to 2019. Childhood undernutrition, childhood anemia, and under-five mortality were the three outcome variables, and the five dimensions of inequality were considered as key predictor variables. The dominance analysis revealed that maternal education, place of residence, and household wealth index were the three most dominant drivers of inequalities in childhood undernutrition, accounting for 83.48% of the predicted variances. The regional category was found to be the first-ranked key driver of inequalities in childhood anemia, accounting for 50.56% of the predicted variance. The dominance analysis also indicated that maternal education, child sex, and place of residence were the three most dominant drivers of inequality in under-five mortality, accounting for 89.3% of the predicted variance. This study provides empirical evidence that maternal education (individual level), household asset based wealth index (household level), and place of residence (community level) were the most dominant drivers of inequality in child survival. This suggests interventions in reducing inequalities in child survival need to start at the community level, notwithstanding the importance of household and individual level influences.","PeriodicalId":73473,"journal":{"name":"International journal of population studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48717137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article describes the Düsseldorfer Model which was developed for the city’s homeless census in 2021. It allows focusing on the number as well as living situations of homeless people with the objective of analyzing their needs to derive concrete recommendations for action. A complete quantitative count of homeless people in the city on a key date was performed according to principles developed together with the actors of the homeless support system in Düsseldorf. Beyond that, qualitative interviews afforded insights into the living situation of homeless people from the user’s perspective. Along with the research methodology, major results are briefly presented in the article, followed by an outlook with recommendations for action.
{"title":"A note on the Düsseldorfer Model for counting homeless people in a German city","authors":"Anne van Rießen, Julia Thissen, Reinhold Knopp","doi":"10.36922/ijps.397","DOIUrl":"https://doi.org/10.36922/ijps.397","url":null,"abstract":"This article describes the Düsseldorfer Model which was developed for the city’s homeless census in 2021. It allows focusing on the number as well as living situations of homeless people with the objective of analyzing their needs to derive concrete recommendations for action. A complete quantitative count of homeless people in the city on a key date was performed according to principles developed together with the actors of the homeless support system in Düsseldorf. Beyond that, qualitative interviews afforded insights into the living situation of homeless people from the user’s perspective. Along with the research methodology, major results are briefly presented in the article, followed by an outlook with recommendations for action.","PeriodicalId":73473,"journal":{"name":"International journal of population studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46787072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
While studies have demonstrated a link between neighborhood social cohesion (NSC) and mental health, this relationship has been inadequately explained for migrant communities. This study explores the effect of NSC on the self-reported depression (SRD) of Irish migrants in the United Kingdom. Considering differing migration experiences and health outcomes across age groups of Irish migrants to the United Kingdom, we explore how this relationship was moderated by age. Logistic regression models showed that NSC promoted mental health in universal contexts. As risks increased, only perceived neighborhood safety promoted mental health. Age had a significant effect on the relationship between NSC and depression. NSC may be associated with reduced SRD for younger but not older Irish migrants. Our findings support interventions, which promote NSC in low-risk contexts and safety in higher-risk settings for Irish migrants. This study reiterates the mental health vulnerability of older Irish migrants.
{"title":"The The promoting effects of neighborhood social cohesion on self-reported depression: A cross-sectional analysis of adult Irish migrants in the United Kingdom","authors":"","doi":"10.36922/ijps.431","DOIUrl":"https://doi.org/10.36922/ijps.431","url":null,"abstract":"While studies have demonstrated a link between neighborhood social cohesion (NSC) and mental health, this relationship has been inadequately explained for migrant communities. This study explores the effect of NSC on the self-reported depression (SRD) of Irish migrants in the United Kingdom. Considering differing migration experiences and health outcomes across age groups of Irish migrants to the United Kingdom, we explore how this relationship was moderated by age. Logistic regression models showed that NSC promoted mental health in universal contexts. As risks increased, only perceived neighborhood safety promoted mental health. Age had a significant effect on the relationship between NSC and depression. NSC may be associated with reduced SRD for younger but not older Irish migrants. Our findings support interventions, which promote NSC in low-risk contexts and safety in higher-risk settings for Irish migrants. This study reiterates the mental health vulnerability of older Irish migrants.","PeriodicalId":73473,"journal":{"name":"International journal of population studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42469055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Hajj, Danielle A. Badro, Carla Abou Selwan, H. Sacre, Randa Aoun, C. Haddad, P. Salameh
Based on an online cross-sectional survey, this study aimed to evaluate the role of the coronavirus disease 2019 (COVID-19) pandemic and economy-related factors in post-traumatic stress symptoms (PTSSs) and sleep in a sample of the general Lebanese population using the post-traumatic stress disorder checklist. The online survey was conducted between May 10, and May 20, 2020, and 502 Lebanese adults who have access to the internet were enrolled. Results highlighted that positive correlates of PTSS were fear of COVID-19, female gender, and waterpipe smoking; negative correlates were higher family satisfaction, higher financial wellness, older age, having access to healthcare, and never having to work. When including insomnia as an independent variable to explain PTSS, the model did not substantially change. Positive correlates of insomnia included fear of poverty, fear of COVID-19, violence at home, the number of dependent children, having a job, and having a chronic disease. Conversely, higher family satisfaction and financial wellness were associated with lower likelihood of insomnia. When entering PTSS, insomnia remained positively associated with fear of poverty, PTSS, and violence at home. However, fear of COVID-19 was no longer associated with insomnia. We concluded that both the fear of COVID-19 and the economic crisis are correlated with PTSS and insomnia.
{"title":"The role of the COVID-19 pandemic and economic crisis in insomnia and post-traumatic stress symptoms in the Lebanese population: A cross-sectional assessment","authors":"A. Hajj, Danielle A. Badro, Carla Abou Selwan, H. Sacre, Randa Aoun, C. Haddad, P. Salameh","doi":"10.36922/ijps.440","DOIUrl":"https://doi.org/10.36922/ijps.440","url":null,"abstract":"Based on an online cross-sectional survey, this study aimed to evaluate the role of the coronavirus disease 2019 (COVID-19) pandemic and economy-related factors in post-traumatic stress symptoms (PTSSs) and sleep in a sample of the general Lebanese population using the post-traumatic stress disorder checklist. The online survey was conducted between May 10, and May 20, 2020, and 502 Lebanese adults who have access to the internet were enrolled. Results highlighted that positive correlates of PTSS were fear of COVID-19, female gender, and waterpipe smoking; negative correlates were higher family satisfaction, higher financial wellness, older age, having access to healthcare, and never having to work. When including insomnia as an independent variable to explain PTSS, the model did not substantially change. Positive correlates of insomnia included fear of poverty, fear of COVID-19, violence at home, the number of dependent children, having a job, and having a chronic disease. Conversely, higher family satisfaction and financial wellness were associated with lower likelihood of insomnia. When entering PTSS, insomnia remained positively associated with fear of poverty, PTSS, and violence at home. However, fear of COVID-19 was no longer associated with insomnia. We concluded that both the fear of COVID-19 and the economic crisis are correlated with PTSS and insomnia.","PeriodicalId":73473,"journal":{"name":"International journal of population studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49148001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The population dynamics in Italy show a strong spatial heterogeneity within a framework of persistent demographic territorial disparities. From a local point of view, it is necessary to understand what demographic determinants govern this process. In the paper, we model the population change according to a local (i.e., spatial varying coefficients) multiscale approach. To this aim, local demographic growth rates of each Italian municipality for the period 2011 – 2019 were estimated and modeled by means of a classic a-spatial global model (i.e., ordinary least-square), and a multiscale geographically weighted regression. The multiscale dimensions of local population changes are therefore analyzed by means of three sub-dimensions: Level of influence, scalability, and specificity. The results show that the determinants of local population changes are not spatially constant and that they vary in their effect at different geographical scales.
{"title":"Local population changes as a spatial varying multiscale process: The Italian case","authors":"F. Benassi, M. Mucciardi, G. Gallo","doi":"10.36922/ijps.393","DOIUrl":"https://doi.org/10.36922/ijps.393","url":null,"abstract":"The population dynamics in Italy show a strong spatial heterogeneity within a framework of persistent demographic territorial disparities. From a local point of view, it is necessary to understand what demographic determinants govern this process. In the paper, we model the population change according to a local (i.e., spatial varying coefficients) multiscale approach. To this aim, local demographic growth rates of each Italian municipality for the period 2011 – 2019 were estimated and modeled by means of a classic a-spatial global model (i.e., ordinary least-square), and a multiscale geographically weighted regression. The multiscale dimensions of local population changes are therefore analyzed by means of three sub-dimensions: Level of influence, scalability, and specificity. The results show that the determinants of local population changes are not spatially constant and that they vary in their effect at different geographical scales.","PeriodicalId":73473,"journal":{"name":"International journal of population studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48291520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Polygyny results in a variety of physical, sexual, and psychological consequences for women which has an impact on gender relations such as the subordination of women, unequal treatment of spouses, neglect of children, rivaling step-children, and inheritance issues among children/spouses. This study aims to explore the association between polygyny and spousal violence in India using the data from the fifth round of the National Family Health Survey-5 of India in 2019 – 2021, which provides information on both polygyny and spousal violence. To understand the effect of polygyny on spousal violence, multivariate logistic regressions were used to obtain unadjusted and adjusted odds ratios by controlling a number of explanatory factors. The results reveal that women in polygynous unions experience more spousal violence compared with those in monogamous unions. The results indicate that, since the law does not permit men to be married to more than one wife simultaneously, this form of marriage should be discouraged by strictly enforcing it to protect women from marital violence in polygynous unions. The analysis contributes to the body of the literature on the association between polygynous marriage and spousal violence in the Indian context.
{"title":"Polygyny and spousal violence in India: Findings from the 2019 – 2021 national family health survey","authors":"R. Nagarajan, H. Sahoo","doi":"10.36922/ijps.v7i1.350","DOIUrl":"https://doi.org/10.36922/ijps.v7i1.350","url":null,"abstract":"Polygyny results in a variety of physical, sexual, and psychological consequences for women which has an impact on gender relations such as the subordination of women, unequal treatment of spouses, neglect of children, rivaling step-children, and inheritance issues among children/spouses. This study aims to explore the association between polygyny and spousal violence in India using the data from the fifth round of the National Family Health Survey-5 of India in 2019 – 2021, which provides information on both polygyny and spousal violence. To understand the effect of polygyny on spousal violence, multivariate logistic regressions were used to obtain unadjusted and adjusted odds ratios by controlling a number of explanatory factors. The results reveal that women in polygynous unions experience more spousal violence compared with those in monogamous unions. The results indicate that, since the law does not permit men to be married to more than one wife simultaneously, this form of marriage should be discouraged by strictly enforcing it to protect women from marital violence in polygynous unions. The analysis contributes to the body of the literature on the association between polygynous marriage and spousal violence in the Indian context.","PeriodicalId":73473,"journal":{"name":"International journal of population studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46812377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Community-dwelling older adults depend on resources for stability and safety as they age. This study explores resources that mature over time to improve the quality of aging in community (AIC) within communities that are not modeled for aging populations. Recommendations for future research and community programs to improve the ability of community members to age in community were made based on the findings. This qualitative study used semi-structured interviews with open-ended questions on 16 older adults who attend programs designed to increase community interaction. According to data gathered, the three most important resources were social, health, and financial. AIC requires multiple resources to sustain basic needs and provide quality living. Early allocation of resources improves the likelihood of successfully AIC.
{"title":"Identifying resources for promoting healthy aging in community","authors":"Adam Reres, S. Hou","doi":"10.36922/ijps.v8i2.303","DOIUrl":"https://doi.org/10.36922/ijps.v8i2.303","url":null,"abstract":"Community-dwelling older adults depend on resources for stability and safety as they age. This study explores resources that mature over time to improve the quality of aging in community (AIC) within communities that are not modeled for aging populations. Recommendations for future research and community programs to improve the ability of community members to age in community were made based on the findings. This qualitative study used semi-structured interviews with open-ended questions on 16 older adults who attend programs designed to increase community interaction. According to data gathered, the three most important resources were social, health, and financial. AIC requires multiple resources to sustain basic needs and provide quality living. Early allocation of resources improves the likelihood of successfully AIC.","PeriodicalId":73473,"journal":{"name":"International journal of population studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46206179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of this paper is to explain the role of socioeconomic development, economic, employment, and demographic factors on gender gap in life expectancy at birth (LEAB) in 24 South and East European countries. Aggregated yearly time series mainly from the UN and World Bank database for the period 1991 – 2020 were used. The generalized method of moments/dynamic panel data (GMM/DPD) model, a dynamic panel model, was used to explore the role of socioeconomic development, economic, employment, and demographic factors on sex differences in LEAB. The study shows that in these countries, a narrowed gender gap in LEAB is associated with a higher percentage of urban population in total population. There was found a significant impact of GDP per capita with a 2-year lag and Gini index with a 2-year lag as well as to LEAB on the gender gap in LEAB. There was not found a significant relationship between employment and education variables on gender gap in LEAB. However, the findings are important for policy discussions in terms of population health, labor policy, etc. The results are supported by the number of studies which show the relationship between socioeconomic development, economic, and demographic indicators and employment issues with gender gap in LEAB.
{"title":"Gender gap in life expectancy at birth and the role of socioeconomic indicators in South and East Europe, 1991 – 2020: Evidence from a dynamic panel model","authors":"Goran Miladinov","doi":"10.36922/ijps.v7i2.389","DOIUrl":"https://doi.org/10.36922/ijps.v7i2.389","url":null,"abstract":"The purpose of this paper is to explain the role of socioeconomic development, economic, employment, and demographic factors on gender gap in life expectancy at birth (LEAB) in 24 South and East European countries. Aggregated yearly time series mainly from the UN and World Bank database for the period 1991 – 2020 were used. The generalized method of moments/dynamic panel data (GMM/DPD) model, a dynamic panel model, was used to explore the role of socioeconomic development, economic, employment, and demographic factors on sex differences in LEAB. The study shows that in these countries, a narrowed gender gap in LEAB is associated with a higher percentage of urban population in total population. There was found a significant impact of GDP per capita with a 2-year lag and Gini index with a 2-year lag as well as to LEAB on the gender gap in LEAB. There was not found a significant relationship between employment and education variables on gender gap in LEAB. However, the findings are important for policy discussions in terms of population health, labor policy, etc. The results are supported by the number of studies which show the relationship between socioeconomic development, economic, and demographic indicators and employment issues with gender gap in LEAB.","PeriodicalId":73473,"journal":{"name":"International journal of population studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48396729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aprajita S. Mishra, P. Lakhera, P. Negi, A. Pandey
Thalassemia is a dreadful heritable hemolytic disease, characterized by a genetic mutation in the hemoglobin subunit beta (HBB) gene. Mutation in HBB gene completely halts the production of the beta-globin protein, which leads to the defective production of functional hemoglobin. The prevalence of this disease is reported only in some specific geographical regions of India. Hence, the aim of this study was to screen the population of Garhwal for beta-thalassemia (β-thalassemia) and thus find out the prevalence in the inhabitants through molecular characterization. For this study, 4,081 individuals were considered, out of which only the ones with elevated HbA2 levels (64) were subjected to molecular characterization. Mutational studies were carried out for the five most common mutations prevalent in the Indian subcontinent, that is, IVS 1-5 G-C, IVS 1-1 G-T, Codon 41/42 (-TCTT), Codon 8/9, and 619 bp deletion. The present study reports a frequency of 0.5% for β-thalassemia mutations among the subjects we have studied. The analysis of mutation spectrum revealed highest prevalence for IVS-1-5 (G-C) (18.75%) followed by Codon 8/9 (12.5%) and IVS-1-1 (G-T) with 6.25%. Codon 41/42 (-TCTT) and 619 bp deletion were found to be absent in our study population.
{"title":"Molecular characterization of beta-thalassemia reveals the presence of common mutations in the population of Himalayan region: Garhwal (Uttarakhand), India","authors":"Aprajita S. Mishra, P. Lakhera, P. Negi, A. Pandey","doi":"10.36922/ijps.v8i2.324","DOIUrl":"https://doi.org/10.36922/ijps.v8i2.324","url":null,"abstract":"Thalassemia is a dreadful heritable hemolytic disease, characterized by a genetic mutation in the hemoglobin subunit beta (HBB) gene. Mutation in HBB gene completely halts the production of the beta-globin protein, which leads to the defective production of functional hemoglobin. The prevalence of this disease is reported only in some specific geographical regions of India. Hence, the aim of this study was to screen the population of Garhwal for beta-thalassemia (β-thalassemia) and thus find out the prevalence in the inhabitants through molecular characterization. For this study, 4,081 individuals were considered, out of which only the ones with elevated HbA2 levels (64) were subjected to molecular characterization. Mutational studies were carried out for the five most common mutations prevalent in the Indian subcontinent, that is, IVS 1-5 G-C, IVS 1-1 G-T, Codon 41/42 (-TCTT), Codon 8/9, and 619 bp deletion. The present study reports a frequency of 0.5% for β-thalassemia mutations among the subjects we have studied. The analysis of mutation spectrum revealed highest prevalence for IVS-1-5 (G-C) (18.75%) followed by Codon 8/9 (12.5%) and IVS-1-1 (G-T) with 6.25%. Codon 41/42 (-TCTT) and 619 bp deletion were found to be absent in our study population.","PeriodicalId":73473,"journal":{"name":"International journal of population studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41588601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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