The following tables summarize abortion-related services funded by Medi-Cal, by delivery system and demographic characteristics from calendar year (CY) 2014 to the most recent reportable CY. The number of abortion-related services are summarized by health care delivery system and county; health care delivery system and age group; health care delivery system and aid group; and age group and race/ethnicity. Expenditures are also summarized for abortion-related services claims submitted to the fee-for-service (FFS) delivery system. Federal funding is generally not available for abortion-related services; therefore, abortion-related services are financed with state funds only.

Number of induced abortions, rates of induced abortions per 1,000 females of same age group, proportions of induced abortions across age groups, and ratios of induced abortions per 100 live births, by age group of patient, 1987 to 2000.

Context

Induced abortion in New Zealand is regulated under the Contraception, Sterilisation, and Abortion Act 1977. This act established the Abortion Supervisory Committee (ASC) to oversee the operation of the Act. One of the roles of the ASC is "to obtain, monitor, analyse, collate, and disseminate information relating to the performance of abortions in New Zealand". Stats NZ is responsible for collating, analysing and disseminating abortion statistics on behalf of the ASC. https://www.stats.govt.nz

Content

Abortion statistics measure the number of induced abortions that are performed in New Zealand hospitals or licensed abortion clinics. Publisher: Statistics New Zealand. Rights: Statistics New Zealand https://www.stats.govt.nz/

Acknowledgements

https://www.stats.govt.nz/

Photo by Luemen Carlson on Unsplash

Inspiration

Women with an unwanted pregnancy who cannot access safe abortion is at risk of unsafe abortion. Women living in low-income countries and poor women are more likely to have an unsafe abortion. Deaths and injuries are higher when unsafe abortion is performed later in pregnancy. The rate of unsafe abortions is higher where access to effective contraception and safe abortion is limited or unavailable. https://www.who.int/news-room/fact-sheets/detail/preventing-unsafe-abortion

The Ukraine Demographic and Health Survey (UDHS) is a nationally representative survey of 6,841 women age 15-49 and 3,178 men age 15-49. Survey fieldwork was conducted during the period July through November 2007. The UDHS was conducted by the Ukrainian Center for Social Reforms in close collaboration with the State Statistical Committee of Ukraine. The MEASURE DHS Project provided technical support for the survey. The U.S. Agency for International Development/Kyiv Regional Mission to Ukraine, Moldova, and Belarus provided funding. The survey is a nationally representative sample survey designed to provide information on population and health issues in Ukraine. The primary goal of the survey was to develop a single integrated set of demographic and health data for the population of the Ukraine. The UDHS was conducted from July to November 2007 by the Ukrainian Center for Social Reforms (UCSR) in close collaboration with the State Statistical Committee (SSC) of Ukraine, which provided organizational and methodological support. Macro International Inc. provided technical assistance for the survey through the MEASURE DHS project. USAID/Kyiv Regional Mission to Ukraine, Moldova and Belarus provided funding for the survey through the MEASURE DHS project. MEASURE DHS is sponsored by the United States Agency for International Development (USAID) to assist countries worldwide in obtaining information on key population and health indicators. The 2007 UDHS collected national- and regional-level data on fertility and contraceptive use, maternal health, adult health and life style, infant and child mortality, tuberculosis, and HIV/AIDS and other sexually transmitted diseases. The survey obtained detailed information on these issues from women of reproductive age and, on certain topics, from men as well. The results of the 2007 UDHS are intended to provide the information needed to evaluate existing social programs and to design new strategies for improving the health of Ukrainians and health services for the people of Ukraine. The 2007 UDHS also contributes to the growing international database on demographic and health-related variables. MAIN RESULTS Fertility rates. A useful index of the level of fertility is the total fertility rate (TFR), which indicates the number of children a woman would have if she passed through the childbearing ages at the current age-specific fertility rates (ASFR). The TFR, estimated for the three-year period preceding the survey, is 1.2 children per woman. This is below replacement level. Contraception : Knowledge and ever use. Knowledge of contraception is widespread in Ukraine. Among married women, knowledge of at least one method is universal (99 percent). On average, married women reported knowledge of seven methods of contraception. Eighty-nine percent of married women have used a method of contraception at some time. Abortion rates. The use of abortion can be measured by the total abortion rate (TAR), which indicates the number of abortions a woman would have in her lifetime if she passed through her childbearing years at the current age-specific abortion rates. The UDHS estimate of the TAR indicates that a woman in Ukraine will have an average of 0.4 abortions during her lifetime. This rate is considerably lower than the comparable rate in the 1999 Ukraine Reproductive Health Survey (URHS) of 1.6. Despite this decline, among pregnancies ending in the three years preceding the survey, one in four pregnancies (25 percent) ended in an induced abortion. Antenatal care. Ukraine has a well-developed health system with an extensive infrastructure of facilities that provide maternal care services. Overall, the levels of antenatal care and delivery assistance are high. Virtually all mothers receive antenatal care from professional health providers (doctors, nurses, and midwives) with negligible differences between urban and rural areas. Seventy-five percent of pregnant women have six or more antenatal care visits; 27 percent have 15 or more ANC visits. The percentage is slightly higher in rural areas than in urban areas (78 percent compared with 73 percent). However, a smaller proportion of rural women than urban women have 15 or more antenatal care visits (23 percent and 29 percent, respectively). HIV/AIDS and other sexually transmitted infections : The currently low level of HIV infection in Ukraine provides a unique window of opportunity for early targeted interventions to prevent further spread of the disease. However, the increases in the cumulative incidence of HIV infection suggest that this window of opportunity is rapidly closing. Adult Health : The major causes of death in Ukraine are similar to those in industrialized countries (cardiovascular diseases, cancer, and accidents), but there is also a rising incidence of certain infectious diseases, such as multidrug-resistant tuberculosis. Women's status : Sixty-four percent of married women make decisions on their own about their own health care, 33 percent decide jointly with their husband/partner, and 1 percent say that their husband or someone else is the primary decisionmaker about the woman's own health care. Domestic Violence : Overall, 17 percent of women age 15-49 experienced some type of physical violence between age 15 and the time of the survey. Nine percent of all women experienced at least one episode of violence in the 12 months preceding the survey. One percent of the women said they had often been subjected to violent physical acts during the past year. Overall, the data indicate that husbands are the main perpetrators of physical violence against women. Human Trafficking : The UDHS collected information on respondents' awareness of human trafficking in Ukraine and, if applicable, knowledge about any household members who had been the victim of human trafficking during the three years preceding the survey. More than half (52 percent) of respondents to the household questionnaire reported that they had heard of a person experiencing this problem and 10 percent reported that they knew personally someone who had experienced human trafficking.

AboutRecent research shows that visualizing linguistic media bias mitigates its negative effects. However, reliable automatic detection methods to generate such visualizations require costly, knowledge-intensive training data. To facilitate data collection for media bias datasets, we present News Ninja, a game employing data-collecting game mechanics to generate a crowdsourced dataset. Before annotating sentences, players are educated on media bias via a tutorial. Our findings show that datasets gathered with crowdsourced workers trained on News Ninja can reach significantly higher inter-annotator agreements than expert and crowdsourced datasets. As News Ninja encourages continuous play, it allows datasets to adapt to the reception and contextualization of news over time, presenting a promising strategy to reduce data collection expenses, educate players, and promote long-term bias mitigation.

GeneralThis dataset was created through player annotations in the News Ninja Game made by ANON. Its goal is to improve the detection of linguistic media bias. Support came from ANON. None of the funders played any role in the dataset creation process or publication-related decisions.

The dataset includes sentences with binary bias labels (processed, biased or not biased) as well as the annotations of single players used for the majority vote. It includes all game-collected data. All data is completely anonymous. The dataset does not identify sub-populations or can be considered sensitive to them, nor is it possible to identify individuals.

Some sentences might be offensive or triggering as they were taken from biased or more extreme news sources. The dataset contains topics such as violence, abortion, and hate against specific races, genders, religions, or sexual orientations.

Description of the Data FilesThis repository contains the datasets for the anonymous News Ninja submission. The tables contain the following data:

ExportNewsNinja.csv: Contains 370 BABE sentences and 150 new sentences with their text (sentence), words labeled as biased (words), BABE ground truth (ground_Truth), and the sentence bias label from the player annotations (majority_vote). The first 370 sentences are re-annotated BABE sentences, and the following 150 sentences are new sentences.

AnalysisNewsNinja.xlsx: Contains 370 BABE sentences and 150 new sentences. The first 370 sentences are re-annotated BABE sentences, and the following 150 sentences are new sentences. The table includes the full sentence (Sentence), the sentence bias label from player annotations (isBiased Game), the new expert label (isBiased Expert), if the game label and expert label match (Game VS Expert), if differing labels are a false positives or false negatives (false negative, false positive), the ground truth label from BABE (isBiasedBABE), if Expert and BABE labels match (Expert VS BABE), and if the game label and BABE label match (Game VS BABE). It also includes the analysis of the agreement between the three rater categories (Game, Expert, BABE).

demographics.csv: Contains demographic information of News Ninja players, including gender, age, education, English proficiency, political orientation, news consumption, and consumed outlets.

Collection ProcessData was collected through interactions with the NewsNinja game. All participants went through a tutorial before annotating 2x10 BABE sentences and 2x10 new sentences. For this first test, players were recruited using Prolific. The game was hosted on a costume-built responsive website. The collection period was from 20.02.2023 to 28.02.2023. Before starting the game, players were informed about the goal and the data processing. After consenting, they could proceed to the tutorial.

The dataset will be open source. A link with all details and contact information will be provided upon acceptance. No third parties are involved.

The dataset will not be maintained as it captures the first test of NewsNinja at a specific point in time. However, new datasets will arise from further iterations. Those will be linked in the repository. Please cite the NewsNinja paper if you use the dataset and contact us if you're interested in more information or joining the project.

Characteristics of eligible in-depth interview participants (n = 10), among an online sample of people who considered, but did not obtain, abortion care for a recent pregnancy.

Number of teen pregnancies and rates per 1,000 females, by pregnancy outcome (live births, induced abortions, or fetal loss), by age group (under 20 years, 20 to 24 years, 25 to 29 years, 30 to 34 years, 35 to 39 years, or 40 years and over), 1974 to 2005.

This is a replication study of "Who presents more than once? Repeat abortion among women in Britain." by Stone, Nicole, and Roger Ingham (2011). In this paper, the authors were interested in finding out the factors that could predict abortion(s) in the UK. The dataset was taken from the Second National Survey of Sexual Attitudes and Lifestyles (2000) in the UK. The data consists of sexual behavioural patterns from over 12 000 UK men and women aged between 16 and 44 years. In their research, they found that ethnicity, living accommodation, age at first sexual experience, length of time in school, and to a lesser extend, contraception at sexual debut and number of sexual partners were predictive of individuals who sough abortion on more than one occasion. Since the sampling technique used in the actual study was not adopted in the replicated study, we could only find results in the similar direction.

Bovine abortion of unknown infectious etiology still remains a major economic problem. Thus, we investigated whether Brucella spp., Listeria monocytogenes, Salmonella spp., Campylobacter spp. and Coxiella burnetii are associated with abortion and/or stillbirth in Tunisian dairy cattle. Using a pan-Chlamydiales PCR, we also investigated the role of Chlamydiaceae, Waddlia chondrophila, Parachlamydia acanthamoebae and other members of the Chlamydiales order in this setting. Veterinary samples taken from mid to late-term abortions from twenty dairy herds were tested. From a total of 150 abortion cases collected, infectious agents were detected by PCR in 73 (48.66%) cases, 13 (8.66%) of which represented co-infections with two infectious agents. Detected pathogens include Brucella spp (31.3%), Chlamydiaceae (4.66%), Waddlia chondrophila (8%), Parachlamydia acanthamoebae (5.33%), Listeria monocytogenes (4.66%) and Salmonella spp. (3.33%). In contrast, Campylobacter spp. and Coxiella burnetii DNA were not detected among the investigated veterinary samples. This demonstrates that different bacterial agents may cause bovine abortion in Tunisia. This is the first report suggesting the role of Parachlamydia acanthamoebae in bovine abortion in Africa. Further studies with a larger number of samples are necessary to confirm whether this emerging pathogen is directly linked to abortion in cattle.

The PCC framework for identifying the eligibility of the studies for the research question, 2024.

Abstract

The Armenia Demographic and Health Survey (ADHS) was a nationally representative sample survey designed to provide information on population and health issues in Armenia. The primary goal of the survey was to develop a single integrated set of demographic and health data, the first such data set pertaining to the population of the Republic of Armenia. In addition to integrating measures of reproductive, child, and adult health, another feature of the DHS survey is that the majority of data are presented at the marz level.

The ADHS was conducted by the National Statistical Service and the Ministry of Health of the Republic of Armenia during October through December 2000. ORC Macro provided technical support for the survey through the MEASURE DHS+ project. MEASURE DHS+ is a worldwide project, sponsored by the USAID, with a mandate to assist countries in obtaining information on key population and health indicators. USAID/Armenia provided funding for the survey. The United Nations Children’s Fund (UNICEF)/Armenia provided support through the donation of equipment.

The ADHS collected national- and regional-level data on fertility and contraceptive use, maternal and child health, adult health, and AIDS and other sexually transmitted diseases. The survey obtained detailed information on these issues from women of reproductive age and, on certain topics, from men as well. Data are presented by marz wherever sample size permits.

The ADHS results are intended to provide the information needed to evaluate existing social programs and to design new strategies for improving the health of and health services for the people of Armenia. The ADHS also contributes to the growing international database on demographic and health-related variables.

Geographic coverage

National

Analysis unit

• Household
• Children under five years
• Women age 15-49
• Men age 15-54

Kind of data

Sample survey data

Sampling procedure

The sample was designed to provide estimates of most survey indicators (including fertility, abortion, and contraceptive prevalence) for Yerevan and each of the other ten administrative regions (marzes). The design also called for estimates of infant and child mortality at the national level for Yerevan and other urban areas and rural areas.

The target sample size of 6,500 completed interviews with women age 15-49 was allocated as follows: 1,500 to Yerevan and 500 to each of the ten marzes. Within each marz, the sample was allocated between urban and rural areas in proportion to the population size. This gave a target sample of approximately 2,300 completed interviews for urban areas exclusive of Yerevan and 2,700 completed interviews for the rural sector. Interviews were completed with 6,430 women. Men age 15-54 were interviewed in every third household; this yielded 1,719 completed interviews.

A two-stage sample was used. In the first stage, 260 areas or primary sampling units (PSUs) were selected with probability proportional to population size (PPS) by systematic selection from a list of areas. The list of areas was the 1996 Data Base of Addresses and Households constructed by the National Statistical Service. Because most selected areas were too large to be directly listed, a separate segmentation operation was conducted prior to household listing. Large selected areas were divided into segments of which two segments were included in the sample. A complete listing of households was then carried out in selected segments as well as selected areas that were not segmented.

The listing of households served as the sampling frame for the selection of households in the second stage of sampling. Within each area, households were selected systematically so as to yield an average of 25 completed interviews with eligible women per area. All women 15-49 who stayed in the sampled households on the night before the interview were eligible for the survey. In each segment, a subsample of one-third of all households was selected for the men's component of the survey. In these households, all men 15-54 who stayed in the household on the previous night were eligible for the survey.

Note: See detailed description of sample design in APPENDIX A of the survey report.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three questionnaires were used in the ADHS: a Household Questionnaire, a Women’s Questionnaire, and a Men’s Questionnaire. The questionnaires were based on the model survey instruments developed for the MEASURE DHS+ program. The model questionnaires were adapted for use during a series of expert meetings hosted by the Center of Perinatology, Obstetrics, and Gynecology. The questionnaires were developed in English and translated into Armenian and Russian. The questionnaires were pretested in July 2000.

The Household Questionnaire was used to list all usual members of and visitors to a household and to collect information on the physical characteristics of the dwelling unit. The first part of the household questionnaire collected information on the age, sex, residence, educational attainment, and relationship to the household head of each household member or visitor. This information provided basic demographic data for Armenian households. It also was used to identify the women and men who were eligible for the individual interview (i.e., women 15-49 and men 15-54). The second part of the Household Questionnaire consisted of questions on housing characteristics (e.g., the flooring material, the source of water, and the type of toilet facilities) and on ownership of a variety of consumer goods.

The Women’s Questionnaire obtained information on the following topics: - Background characteristics - Pregnancy history - Antenatal, delivery, and postnatal care - Knowledge and use of contraception - Attitudes toward contraception and abortion - Reproductive and adult health - Vaccinations, birth registration, and health of children under age five - Episodes of diarrhea and respiratory illness of children under age five - Breastfeeding and weaning practices - Height and weight of women and children under age five - Hemoglobin measurement of women and children under age five - Marriage and recent sexual activity - Fertility preferences - Knowledge of and attitude toward AIDS and other sexually transmitted infections.

The Men’s Questionnaire focused on the following topics: - Background characteristics - Health - Marriage and recent sexual activity - Attitudes toward and use of condoms - Knowledge of and attitude toward AIDS and other sexually transmitted infections.

Cleaning operations

After a team had completed interviewing in a cluster, questionnaires were returned promptly to the National Statistical Service in Yerevan for data processing. The office editing staff first checked that questionnaires for all selected households and eligible respondents had been received from the field staff. In addition, a few questions that had not been precoded (e.g., occupation) were coded at this time. Using the ISSA (Integrated System for Survey Analysis) software, a specially trained team of data processing staff entered the questionnaires and edited the resulting data set on microcomputers. The process of office editing and data processing was initiated soon after the beginning of fieldwork and was completed by the end of January 2001.

Response rate

A total of 6,524 households were selected for the sample, of which 6,150 were occupied at the time of fieldwork. The main reason for the difference is that some of the dwelling units that were occupied during the household listing operation were either vacant or the household was away for an extended period at the time of interviewing. Of the occupied households, 97 percent were successfully interviewed.

In these households, 6,685 women were identified as eligible for the individual interview (i.e., age 15-49). Interviews were completed with 96 percent of them. Of the 1,913 eligible men identified, 90 percent were successfully interviewed. The principal reason for non-response among eligible women and men was the failure to find them at home despite repeated visits to the household. The refusal rate was low.

The overall response rates, the product of the household and the individual response rates, were 94 percent for women and 87 percent for men.

Note: See summarized response rates by residence (urban/rural) in Table 1.1 of the survey report.

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: (1) nonsampling errors, and (2) sampling errors. Nonsampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2000 Armenia Demographic and Health Survey (ADHS) to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the ADHS is only one of many samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey

When studying sensitive issues including corruption, prejudice, and sexual behavior, researchers have increasingly relied upon indirect questioning techniques to mitigate such known problems of direct survey questions as under-reporting and nonresponse. However, there have been surprisingly few empirical validation studies of these indirect techniques, because the information required to verify the resulting estimates is often difficult to access. This paper reports findings from the first comprehensive validation study of indirect methods. We estimate whether people voted for an anti-abortion referendum held during the 2011 Mississippi General Election using direct questioning and three popular indirect methods: list experiment, endorsement experiment, and randomized response. We then validate these estimates against the official election outcome. While direct questioning leads to significant under-estimation of sensitive votes against the referendum, these survey techniques yield estimates much closer to the actual vote count, with endorsement experiment and randomized response yielding least bias.

General Indicators; 2. Attitude to the EC; 3. Attitude to abortion; 4. Smoking habits; 5. Product safety. Topics: 1. General Indicators: citizenship and eligibility to vote at place of residence; contentment with life; satisfaction with democracy; opinion leadership and frequency of political discussions; postmaterialism; frequency of obtaining news from television, radio and newspapers. 2. Attitude to the EC: knowledge about the EC and its institutions; hopes and fears for the future of the European Community; judgment on personal level of information about the EC; attitude to European unification and membership of one´s own country in the EC; advantages or disadvantages for the country from EC membership; regret of a possible failure of the EC; general assessment of the significance of the EC; attitude to a European Government and European Parliament; judgment on the possibilities for citizens to democratically influence EC decisions; preferred new EC member countries until the year 2000; significance of European unification for national or European identity of the individual; judgment on the EC Commission by means of a semantic differential; preference for national or European decision-making authority in selected political areas; knowledge about the start of the European domestic market; expectations of the European domestic market and reasons for hopes and fears; general attitude to the domestic market and to a European social policy; general significance of the European Parliament in selected political areas; attitude to an increasing significance of the parliament; agreement with an expanded transfer of authority to the EC in an economic and currency union as well as in a political unification; knowledge about the Maastricht conference, its resolutions and their contents; agreement or rejection of the Maastricht Treaty as well as selected components of the treaty; expected effects of the Maastricht Treaty for the EC, for one´s own country and for personal life; exchange of national identity for a European identity; chances of individual EC countries to join the economic and currency union; expected advantages or disadvantages for one´s own country from the economic and currency union; preference for European or national precedents in conflicts of laws; sense of justice and attitude to selected aspects of the legal system (scale); attitude to the European Court of Justice and the highest national court of law; judgment on the work of the highest European Court of Justice. 3. Attitude to abortion: attitude to the right to abortion and a European regulation regarding abortion. 4. Smoking habits: number of cigarettes smoked daily; desire to quit smoking or reduce use of cigarettes (split: in the second case the question was not about desire but intent); frequency of not smoking in order not to bother others present; reasonableness for a smoker to travel in the no-smoking compartment or vice versa for a non-smoker to travel in the smoking compartment; time of quitting smoking (for former smokers); presence of smokers at home, in one´s circle of friends, at work and at other places; frequency of requests to smokers not to smoke; perceived bother from smokers; frequency of personal passive smoking; assessment of jeopardy to health from passive smoking; attitude to a smoking ban in public institutions; extent of such a smoking prohibition in one´s own vicinity; perceived observance of the smoking ban; preference for smoking zones or no-smoking zones at work; preference for an independent solution among work colleagues or for a management decision; smoking regulations at one´s place of work and perceived observance of these rules; attitude to a prohibition of cigarette advertising; knowledge about prohibitions of advertising for cigarettes in one´s country; evaluation of the effectiveness of these prohibitions; knowledge about the European program to combat cancer. 5. Product safety: most important criteria in purchase of products; interest in the safety of products and services; significance of thesecurity aspect of products in the media, in school and in leisure time; assessment of the salience of consumer protection (scale); consumer areas in which one should place particular value on safety; consumer areas to which one attributes the greatest potential for jeopardy; those primarily responsible for product safety and the safety of services in selected product areas; expected comparability of security standard of products in Europe and desire for generally understandable safety codes; the same security standards in Europe; desire for cross-border signs and symbols for dangers at the beach, in the mountains and with fire; adequate extent to which citizens are informed about dangers to the environment; assessment of the usefulness of selected types of insurance; greatest sources of danger for older people and children in different age-groups; last accident at home in one´s family; person who had an accident; product or object which lead to the accident; one responsible for the accident. Demography: self-classification on a left-right continuum; party allegiance; party preference (Sunday question); behavior at the polls in the last election; union membership; marital status; age at end of education; resumption of school training after an interruption and length of school training; length of further education; sex; age; size of household; number of children in household; possession of durable economic goods; occupational position; weekly number of working hours; supervisor status; employment in the civil service or private enterprise (company sector); person managing household; position in household; age of head of household at end of education; occupation of head of household; supervisor status of head of household; self-assessment of social class; residential status; degree of urbanization; religious denomination; frequency of church attendance; religiousness; monthly household income; city size; region; possession of a telephone. Indices: opinion leadership (cognitive mobility); postmaterialism; attitude to Europe; status in profession; party preference on European level; EC support; support for the EC domestic market; media usage; ESOMAR Social Grade; life cycle. In the Federal Republic the following questions were also posed: use of selected sources of information about the EC; perceived EC topics; preferred sources of information about the European Community; assessment of the EC role in achieving equivalent standard of living between Eastern and Western Germany. In Great Britain and Northern Ireland the following question was also posed: knowledge and significance of the British EC presidency. In France, West Germany, United Kingdom, Spain and Italy the following questions were also posed: self-classification of knowledge about selected EC countries; naming the most pleasant, most conscientious, most efficient and most trustworthy EC countries; assessment of the achievability of conditions for joining the economic and currency union by one´s own country. Only in Italy the following questions were posed: assumed interest of new applicant countries in EC membership; attitude to a subordinate role of one´s own country in an economic and currency union; most important obstacles to participation in the economic and currency union; perceived readiness of the population for economic and social sacrifices for the benefit of an economic and currency union; judgment on selected economic and social disadvantages for Italy from the economic and currency union; willingness to sacrifice income for the benefit of European unification. In Denmark the following questions were also posed: knowledge about the monthly magazine ´ES-AVISSEN´ and its content; origin of the issues read; evaluation of information content in selected areas; preference for more frequent publication of this magazine. The following questions were posed only in Norway: highest school degree; further education and college attendance. Also encoded was: date of interview; length of interview; willingness of respondent to cooperate; number of contact attempts; ZIP (postal)code; identification of interviewer.

"Topics in this survey include public figure approval ratings, trust in the Arkansas government, the most important issues facing people in Arkansas; current issues such as gun control rules, abortion laws, views towards same-sex couples; global warming views; disaster preparedness and emergency response; water quality; and opinion of life in Arkansas. Demographic information includes educational attainment, race, political party affiliation, household income, marital status, number of people who live in the household, and gender."

Predictive margins of experiencing any psychological distress six months to five years post-abortion seeking.

This interview is part of the Women, Risk and Aids Project (1989-90) archive which was created as part of the Reanimating Data Project (2018-20).Original transcript of an interview with Paula, 20, who works in Manchester. Interviewee works as a sound engineer and loves her job. Has bought a house with support from her mum and has a friend who is her lodger. Has good family relationships. Had ‘very little’ sex education at her comprehensive school in biology lessons and religious education. Learnt about contraception through conversations with girlfriends and from a book her mum gave her aged 13/14. First learnt about AIDS from seeing Rock Hudson on television and then more from television programmes and leaflets posted through the door. No education about AIDS through work or the union. HIV tests are not offered at work but she thinks that you could get support to have one through approaching the nurse at work. Worries about AIDS but doesn’t feel like she is at risk. Doesn’t see herself as someone who tasks lots of risks with sex, or in other areas of her life. In a two year relationship with someone. Likes to think she would ask someone to use a condom if she had sex with someone else but is unsure. Thinks the idea of condoms is ‘awful’ and wouldn’t carry them as she wouldn’t want to signal that she was going out with the intention of having sex. Doesn’t think she would ask someone to take an HIV test before having sex and would be insulted if someone asked her to do this. Discusses the difficulty of assessing whether a potential partner has HIV or not and that you can’t always trust what a partner tells you. Had sex with 3 or 4 people when she was younger and was disappointed by it. Talked about pleasure with friends but didn’t experience it until she met her current partner who she feels confident with and can talk about sex. Her and her partner both see other people but only have sex with each other. Interviewee takes the pill and is happy with it. Wouldn’t have an abortion if she got pregnant. Discusses some AIDS awareness campaigns and her responses to them and her views on being sexually ‘permissive’, which she doesn’t agree with morally, particularly for women.

Theoretical approaches suggest that gender inequity increases men’s health risks. Previous findings from the United States support this contention, however only a small number of health outcomes have been explored. This study extends the range of health outcomes examined by using a cross-sectional, multilevel analysis to investigate whether measures of state-level gender inequity are predictors of men’s self-rated health. Data were derived primarily from the Behavioral Risk Factor Surveillance System and the full-case data set included 116,594 individuals nested within 50 states. Gender inequity was measured with nine variables: higher education, women’s reproductive rights, abortion provider access, elected office, management, business ownership, labour force participation, earnings and relative poverty. Covariates at the individual level were age, income, education, race/ethnicity, marital status and employment status. Covariates at the state level were income inequality and gross domestic product per capita. In fully adjusted models for all-age men the reproductive rights (OR 1.06 95% CI 1.01–1.11), abortion provider access (OR 1.11 95% CI 1.05–1.16) and earnings (OR 1.06 95% CI 1.02–1.12) measures all predicted an increased risk of men reporting poorer self-rated health for each 1 standard deviation increase in the gender inequity z-score. The most consistent effect was seen for the 65+ age group where the reproductive rights (OR 1.09 95% CI 1.03–1.16), abortion provider access (OR 1.15 95% CI 1.09–1.21), elected office (OR 1.06 95% CI 1.01–1.11) and earnings (OR 1.10 95% CI 1.04–1.16) measures all showed a significant effect. These findings provide evidence that some aspects of gender inequity increase the risk of poorer self-rated health in men. The study contributes to a growing body of literature implicating gender inequity in men’s health patterns.

Mobile applications (apps) are increasingly being used to access health-related information, but it may be challenging for consumers to identify accurate and reliable platforms. We conducted a systematic review of applications that provide information about abortion. We searched the iTunes and Google Play stores and queried professional networks to identify relevant apps. To evaluate the apps, we used the validated Mobile App Rating Scale (MARS) and added relevant abortion-specific elements. Two reviewers independently rated each app, and we report mean scores on a 5-point scale across the domains of engagement, functionality, esthetics, and information. We also rated app characteristics (including target population and reach), and number of desirable abortion-specific features. We defined recommended apps as those that achieved a score of 4.0 or above for the question: “would you recommend this app to people who may benefit from it?” Our search initially yielded 282 apps and we identified two additional apps through professional mailing lists. Most were irrelevant or not abortion-specific. We excluded 37 apps that sought to discourage users from seeking abortion. Only 10 apps met inclusion criteria for this review. The Euki app had the highest overall score (4.0). Half of the apps achieved a score of 3.0 or greater. Most of the apps had few desirable design features. Some apps provided significant information but had poor functionality. Only four apps met criteria for being recommended: Euki, Safe Abortion by Hesperian, Ipas Mexico, and Marie Stopes Mexico. In conclusion, we found few apps that provide unbiased information about abortion, and their quality varied greatly. App developers and abortion experts should consider designing additional apps that are clinically accurate, unbiased and well-functioning. We registered this review in the PROSPERO database (Registration # CRD42020195802).

Context

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