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TwitterThe “gender gap index” describes the degree of difference between sexual inequality to access to political role and education and health resources in 2010. Countries where part of population does not have access to such resources is more sensitive to climate change consequences, because sacrifice part of its potential. The index results from the third cluster of the Principal Component Analysis preformed among 14 potential variables. The analysis identify three dominant variables, namely “literacy gender ratio”, “women political participation” and “life expectancy gender ratio”, assigning a weight of 0.40 to the first one and 0.3 to the others two variables. Before to perform the analysis the variables were score-standardized (converted to distribution with average of 0 and standard deviation of 1; all variables with inverse method) in order to be comparable. The country base data for “literacy gender ratio” (average from 2008 to 2012) and “women political participation” (i.e. proportion of seats held by women in national parliament in the last election) were gathered from World Bank, whereas the “life expectancy gender ratio” (average from 2008 to 2012) data were collected from the medium fertility scenario of UNPD World Population Prospects, the 2012 Revision. Tabular data were linked by country to the national boundaries shapefile (FAO/GAUL) and then converted into raster format (resolution 0.5 arc-minute). Women’s representation in parliaments is one aspect of women’s opportunities in political and public life, and it is therefore linked to women’s empowerment. This indicator gives an idea of the progress of women participation in the highest levels of society, such as the decision making process, and becoming a leader and voice of the community. Gender parity in literacy and thus in education, is an indicator for female participation and can hence be seen as a general measure for gender equality. The equality of educational opportunities is a basic state to increase the status and capabilities of women. This dataset has been produced in the framework of the “Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)” project, Work Package 4 (WP4). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.
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Estimates of the linear parameters for IPV and underweight.
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In the early-mid 1990s, Albania entered a new phase of major changes, moving from a totalitarian to a democratic system and shifting gradually to the free market economy. This process led, naturally, to changes in various demographic and health characteristics of the Albanian society. The 2008-09 Albania Demographic and Health Survey (ADHS) is a nationally representative study aimed at collecting and providing information on population, demographic, and health characteristics of the country. Population-based studies of this magnitude are a major undertaking that provide information on important indicators which measure the progress of a country. The ADHS results help provide the necessary information to assess, measure, and evaluate the existing programs in the country. They also provide crucial information to policy-makers when drafting new policies and strategies related to the health sector and health services in Albania. The information collected in the 2008-09 Albania Demographic and Health Survey will be used not only by local decision-makers and programme managers, but also by partners and foreign donors involved in various development areas in Albania, as well as by academic institutions to do further analysis with the collected data. The 2008-09 Albania Demographic and Health Survey (ADHS) was implemented by the Institute of Statistics (INSTAT) and the Institute of Public Health (IPH), of the Ministry of Health. ICF Macro provided technical assistance to the ADHS through funding from the United Nations Children’s Fund (UNICEF) and the United State Agency for International Development (USAID)-funded MEASURE DHS programme. Local costs of the survey were supported by USAID, the Swiss Cooperation Office in Albania (SCO-A), UNICEF, the United Nations Population Fund (UNFPA), and the World Health Organization (WHO). Data collection was conducted from 28 October, 2008 to 26 April, 2009 using a nationally representative sample of almost 9,000 households. All women age 15-49 in these households and all men age 15-49 in half of the households were eligible to be individually interviewed. In addition to the data collected through interviews with these women and men, capillary blood samples were collected from all children age 6-59 months and all eligible women and men age 15-49 for anaemia testing. All children under five years of age and eligible women and men age 15-49 were weighed and measured to assess their nutritional status. Finally, blood pressure (BP) was measured for eligible women and men in the households selected for the men’s interview to estimate the prevalence of hypertension in the adult population. The 2008-09 ADHS is designed to provide data to monitor the population and health situation in Albania. Specifically, the 2008-09 ADHS collected information on fertility levels, marriage, sexual activity, fertility preferences, knowledge and use of family planning methods, breastfeeding practices, nutritional status of women and young children, childhood mortality, maternal and child health, and awareness and behaviour regarding AIDS and other sexually transmitted infections. Additional features of the 2008-09 ADHS include the collection of information on migration (out-migration, returning migrants and internal migration), haemoglobin testing to detect the presence of anaemia, blood pressure (BP) measurements among the adult population, and questions related to accessibility and affordability of health services. The information collected in the 2008-09 ADHS provides updated estimates of an array of demographic and health indicators that will assist in the development of appropriate policies and programmes to address the most important health issues in Albania.
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There has been an increase in female incarcerated offenders nationally and internationally. Despite this trend, literature and research on female offenders remain limited compared to their male counterparts. Evidence of the relationship between certain personality disorders and offending behaviour has led numerous countries to prioritise identifying and assessing personality disorders among the offender population. Psychopathic personality traits may contribute to women’s risk factors for expressing antisocial behaviours, resulting in their potential future incarceration. Thus, a need exists to understand possible factors that may predict the expression of psychopathic traits in females, which may have notable utility among female offenders. This study aimed to investigate possible predictor variables of psychopathy amongst incarcerated female offenders in South Africa. A quantitative research approach, non-experimental research type, and correlational research design were employed. A convenience sampling technique was used. The sample consisted of 139 (N = 139) female offenders housed in two correctional centres in South Africa who voluntarily participated in this study. Correlation analyses and hierarchical regression analysis procedures were conducted to analyse the results. Results indicated (i) a certain combination of predictor variables that statistically and practically significantly explained both primary and secondary psychopathy and (ii) individual predictor variables (e.g., Impulsivity, Simple Tasks, Risk-Seeking, and Self-Centredness) that explained both primary and secondary psychopathy statistically and practically significantly. This study provides valuable information about the possible predictor variables of psychopathy amongst female offenders within the context of South Africa. However, further research must be conducted to validate these findings and advance our knowledge on this topic.
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TwitterThe 2011 Bangladesh Demographic and Health Survey (BDHS) is the sixth DHS undertaken in Bangladesh, following those implemented in 1993-94, 1996-97, 1999-2000, 2004, and 2007. The main objectives of the 2011 BDHS are to: • Provide information to meet the monitoring and evaluation needs of health and family planning programs, and • Provide program managers and policy makers involved in these programs with the information they need to plan and implement future interventions.
The specific objectives of the 2011 BDHS were as follows: • To provide up-to-date data on demographic rates, particularly fertility and infant mortality rates, at the national and subnational level; • To analyze the direct and indirect factors that determine the level of and trends in fertility and mortality; • To measure the level of contraceptive use of currently married women; • To provide data on knowledge and attitudes of women and men about sexually transmitted infections and HIV/AIDS; • To assess the nutritional status of children (under age 5), women, and men by means of anthropometric measurements (weight and height), and to assess infant and child feeding practices; • To provide data on maternal and child health, including antenatal care, assistance at delivery, breastfeeding, immunizations, and prevalence and treatment of diarrhea and other diseases among children under age 5; • To measure biomarkers, such as hemoglobin level for women and children, and blood pressure, and blood glucose for women and men 35 years and older; • To measure key education indicators, including school attendance ratios and primary school grade repetition and dropout rates; • To provide information on the causes of death among children under age 5; • To provide community-level data on accessibility and availability of health and family planning services; • To measure food security.
The 2011 BDHS was conducted under the authority of the National Institute of Population Research and Training (NIPORT) of the Ministry of Health and Family Welfare. The survey was implemented by Mitra and Associates, a Bangladeshi research firm located in Dhaka. ICF International of Calverton, Maryland, USA, provided technical assistance to the project as part of its international Demographic and Health Surveys program (MEASURE DHS). Financial support was provided by the U.S. Agency for International Development (USAID).
National
The 2011 BDHS covers the entire population residing in noninstitutional dwelling units in the country.
Sample survey data
Sample Design The sample for the 2011 BDHS is nationally representative and covers the entire population residing in noninstitutional dwelling units in the country. The survey used as a sampling frame the list of enumeration areas (EAs) prepared for the 2011 Population and Housing Census, provided by the Bangladesh Bureau of Statistics (BBS). The primary sampling unit (PSU) for the survey is an EA that was created to have an average of about 120 households.
Bangladesh has seven administrative divisions: Barisal, Chittagong, Dhaka, Khulna, Rajshahi, Rangpur, and Sylhet. Each division is subdivided into zilas, and each zila into upazilas. Each urban area in an upazila is divided into wards, and into mohallas within a ward. A rural area in the upazila is divided into union parishads (UP) and mouzas within a UP. These divisions allow the country as a whole to be easily separated into rural and urban areas.
The survey is based on a two-stage stratified sample of households. In the first stage, 600 EAs were selected with probability proportional to the EA size, with 207 clusters in urban areas and 393 in rural areas. A complete household listing operation was then carried out in all the selected EAs to provide a sampling frame for the second-stage selection of households. In the second stage of sampling, a systematic sample of 30 households on average was selected per EA to provide statistically reliable estimates of key demographic and health variables for the country as a whole, for urban and rural areas separately, and for each of the seven divisions. With this design, the survey selected 18,000 residential households, which were expected to result in completed interviews with about 18,000 ever-married women. In addition, in a subsample of one-third of the households, all evermarried men age 15-54 were selected and interviewed for the male survey. In this subsample, a group of eligible members were selected to participate in testing of the biomarker component, including blood pressure measurements, anemia, blood glucose testing, and height and weight measurements.
Note: See Appendix A (in final survey report) for the details of the sample design.
The 2007 BDHS sampled all ever-married women age 10-49. The number of eligible women age 10-49 was 11,234, of whom 11,051 were interviewed for a response rate of 98.4 percent. However, there were very few ever-married women age 10-14 (55 unweighted cases or less than one percent). These women have been removed from the data set and weights recalculated for the 15-49 age group. The tables in the survey report discuss only women age 15-49.
Face-to-face
The 2011 BDHS used five types of questionnaires: a Household Questionnaire, a Woman’s Questionnaire, a Man’s Questionnaire, a Community Questionnaire, and two Verbal Autopsy Questionnaires to collect data on causes of death among children under age 5. The contents of the household and individual questionnaires were based on the MEASURE DHS model questionnaires. These model questionnaires were adapted for use in Bangladesh during a series of meetings with a Technical Working Group (TWG) that consisted of representatives from NIPORT, Mitra and Associates, International Centre for Diarrheal Diseases and Control, Bangladesh (ICDDR,B), USAID/Bangladesh, and MEASURE DHS. Draft questionnaires were then circulated to other interested groups and were reviewed by the 2011 BDHS Technical Review Committee. The questionnaires were developed in English and then translated and printed into Bangla.
The Household Questionnaire was used to list all the usual members and visitors in the selected households. Some basic information was collected on the characteristics of each person listed, including age, sex, education, and relationship to the head of the household. The main purpose of the Household Questionnaire was to identify women and men who were eligible for the individual interview. In addition, information was collected about the dwelling unit, such as the source of water, type of toilet facilities, materials used to construct the floors and walls, and ownership of various consumer goods. The Household Questionnaire was also used to record for eligible individuals: • Height and weight measurements • Anemia test results • Measurements of blood pressure and blood glucose
The Woman’s Questionnaire was used to collect information from ever-married women age 12-49. Women were asked questions on the following topics: • Background characteristics (e.g., age, education, religion, and media exposure) • Reproductive history • Use and source of family planning methods • Antenatal, delivery, postnatal, and newborn care • Breastfeeding and infant feeding practices • Child immunizations and childhood illnesses • Marriage • Fertility preferences • Husband’s background and respondent’s work • Awareness of AIDS and other sexually transmitted infections • Food security
The Man’s Questionnaire was used to collect information from ever-married men age 15-54. Men were asked questions on the following topics: • Background characteristics (including respondent’s work) • Marriage • Fertility preferences • Participation in reproductive health care • Awareness of AIDS and other sexually transmitted infections
The Community Questionnaire was administered in each selected cluster during the household listing operation. Data were collected by administering the Community Questionnaire to a group of four to six community leaders who were knowledgeable about socioeconomic conditions and the availability of health and family planning services/facilities, in or near the sample area (cluster). Community leaders included such persons as government officials, social workers, teachers, religious leaders, traditional healers, and health care providers.
The Community Questionnaire collected information about the existence of development organizations in the community and the availability and accessibility of health services and other facilities. During the household listing operation, the geographic coordinates and altitude of each cluster were also recorded. The information obtained in these questionnaires was also used to verify information gathered in the Woman’s and Man’s Questionnaires on the types of facilities accessed and health services personnel seen.
The Verbal Autopsy Questionnaires were developed based on the work done by an expert group led by the WHO, consisting of researchers, data users, and other stakeholders under the sponsorship of the Health Metrics Network (HMN). The verbal autopsy tools are intended to serve the various needs of the users of mortality information. Two questionnaires were used to collect information related to the causes of death among young children; the first questionnaire collected data on neonatal deaths (deaths at 0-28 days), and the
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Estimates of the linear parameters for physical violence and underweight.
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Estimates of the linear parameters for IPV and thinness.
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Estimates of the linear parameters for emotional violence and underweight.
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TwitterAs of February 2025, it was found that around 14.1 percent of TikTok's global audience were women between the ages of 18 and 24 years, while male users of the same age formed approximately 16.6 percent of the platform's audience. The online audience of the popular social video platform was further composed of 14.6 percent of female users aged between 25 and 34 years, and 20.7 percent of male users in the same age group.
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TwitterAs of April 2024, around 16.5 percent of global active Instagram users were men between the ages of 18 and 24 years. More than half of the global Instagram population worldwide was aged 34 years or younger.
Teens and social media
As one of the biggest social networks worldwide, Instagram is especially popular with teenagers. As of fall 2020, the photo-sharing app ranked third in terms of preferred social network among teenagers in the United States, second to Snapchat and TikTok. Instagram was one of the most influential advertising channels among female Gen Z users when making purchasing decisions. Teens report feeling more confident, popular, and better about themselves when using social media, and less lonely, depressed and anxious.
Social media can have negative effects on teens, which is also much more pronounced on those with low emotional well-being. It was found that 35 percent of teenagers with low social-emotional well-being reported to have experienced cyber bullying when using social media, while in comparison only five percent of teenagers with high social-emotional well-being stated the same. As such, social media can have a big impact on already fragile states of mind.
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TwitterAs of January 2024, Instagram was slightly more popular with men than women, with men accounting for 50.6 percent of the platform’s global users. Additionally, the social media app was most popular amongst younger audiences, with almost 32 percent of users aged between 18 and 24 years.
Instagram’s Global Audience
As of January 2024, Instagram was the fourth most popular social media platform globally, reaching two billion monthly active users (MAU). This number is projected to keep growing with no signs of slowing down, which is not a surprise as the global online social penetration rate across all regions is constantly increasing.
As of January 2024, the country with the largest Instagram audience was India with 362.9 million users, followed by the United States with 169.7 million users.
Who is winning over the generations?
Even though Instagram’s audience is almost twice the size of TikTok’s on a global scale, TikTok has shown itself to be a fierce competitor, particularly amongst younger audiences. TikTok was the most downloaded mobile app globally in 2022, generating 672 million downloads. As of 2022, Generation Z in the United States spent more time on TikTok than on Instagram monthly.
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TwitterThe “gender gap index” describes the degree of difference between sexual inequality to access to political role and education and health resources in 2010. Countries where part of population does not have access to such resources is more sensitive to climate change consequences, because sacrifice part of its potential. The index results from the third cluster of the Principal Component Analysis preformed among 14 potential variables. The analysis identify three dominant variables, namely “literacy gender ratio”, “women political participation” and “life expectancy gender ratio”, assigning a weight of 0.40 to the first one and 0.3 to the others two variables. Before to perform the analysis the variables were score-standardized (converted to distribution with average of 0 and standard deviation of 1; all variables with inverse method) in order to be comparable. The country base data for “literacy gender ratio” (average from 2008 to 2012) and “women political participation” (i.e. proportion of seats held by women in national parliament in the last election) were gathered from World Bank, whereas the “life expectancy gender ratio” (average from 2008 to 2012) data were collected from the medium fertility scenario of UNPD World Population Prospects, the 2012 Revision. Tabular data were linked by country to the national boundaries shapefile (FAO/GAUL) and then converted into raster format (resolution 0.5 arc-minute). Women’s representation in parliaments is one aspect of women’s opportunities in political and public life, and it is therefore linked to women’s empowerment. This indicator gives an idea of the progress of women participation in the highest levels of society, such as the decision making process, and becoming a leader and voice of the community. Gender parity in literacy and thus in education, is an indicator for female participation and can hence be seen as a general measure for gender equality. The equality of educational opportunities is a basic state to increase the status and capabilities of women. This dataset has been produced in the framework of the “Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)” project, Work Package 4 (WP4). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.