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1.
J Psychol ; 151(1): 69-75, 2017 Jan 02.
Article in English | MEDLINE | ID: mdl-27660898

ABSTRACT

The southwestern U.S. border has recently seen a significant increase in the number of unaccompanied children from Honduras, Guatemala, and El Salvador illegally crossing the Mexican border into the United States. Many of these children leave home to flee violence, starvation, impoverished living conditions, or other life-threatening situations. The treatment of acute stress, anxiety, and depression associated with traumatic events is crucial in helping these children address these negative psychological events they have experienced so that they can move forward with their lives. Untreated, traumatic events experienced by this population can develop into Post Traumatic Stress Disorder, a potentially life-changing and physically threatening psychological and medical issue. The United States needs to effectively address the serious matter of responding to mental health issues facing refugees from war-torn or impoverished nations so as to help them to successfully adjust to American systems. There is a need for researchers in the mental health field to focus efforts in designing, implementing, and evaluating methodologies that can help these children develop healthy strategies for living with a very difficult and complex past.


Subject(s)
Civil Disorders/history , Civil Disorders/psychology , Culturally Competent Care/history , Hispanic or Latino/history , Hispanic or Latino/psychology , Minors/history , Minors/psychology , Politics , Racism/history , Racism/psychology , Stress Disorders, Post-Traumatic/history , Stress Disorders, Post-Traumatic/psychology , Undocumented Immigrants/history , Undocumented Immigrants/psychology , Violence/history , Violence/psychology , Central America/ethnology , Child , History, 20th Century , History, 21st Century , Humans , Motivation
2.
Lancet Glob Health ; 2(9): e521-e530, 2014 Sep.
Article in English | MEDLINE | ID: mdl-25304419

ABSTRACT

BACKGROUND: Under natural circumstances, the sex ratio of male to female mortality up to the age of 5 years is greater than one but sex discrimination can change sex ratios. The estimation of mortality by sex and identification of countries with outlying levels is challenging because of issues with data availability and quality, and because sex ratios might vary naturally based on differences in mortality levels and associated cause of death distributions. METHODS: For this systematic analysis, we estimated country-specific mortality sex ratios for infants, children aged 1-4 years, and children under the age of 5 years (under 5s) for all countries from 1990 (or the earliest year of data collection) to 2012 using a Bayesian hierarchical time series model, accounting for various data quality issues and assessing the uncertainty in sex ratios. We simultaneously estimated the global relation between sex ratios and mortality levels and constructed estimates of expected and excess female mortality rates to identify countries with outlying sex ratios. FINDINGS: Global sex ratios in 2012 were 1·13 (90% uncertainty interval 1·12-1·15) for infants, 0·95 (0·93-0·97) for children aged 1-5 years, and 1·08 (1·07-1·09) for under 5s, an increase since 1990 of 0·01 (-0·01 to 0·02) for infants, 0·04 (0·02 to 0·06) for children aged 1-4 years, and 0·02 (0·01 to 0·04) for under 5s. Levels and trends varied across regions and countries. Sex ratios were lowest in southern Asia for 1990 and 2012 for all age groups. Highest sex ratios were seen in developed regions and the Caucasus and central Asia region. Decreasing mortality was associated with increasing sex ratios, except at very low infant mortality, where sex ratios decreased with total mortality. For 2012, we identified 15 countries with outlying under-5 sex ratios, of which ten countries had female mortality higher than expected (Afghanistan, Bahrain, Bangladesh, China, Egypt, India, Iran, Jordan, Nepal, and Pakistan). Although excess female mortality has decreased since 1990 for the vast majority of countries with outlying sex ratios, the ratios of estimated to expected female mortality did not change substantially for most countries, and worsened for India. INTERPRETATION: Important differences exist between boys and girls with respect to survival up to the age of 5 years. Survival chances tend to improve more rapidly for girls compared with boys as total mortality decreases, with a reversal of this trend at very low infant mortality. For many countries, sex ratios follow this pattern but important exceptions exist. An explanation needs to be sought for selected countries with outlying sex ratios and action should be undertaken if sex discrimination is present. FUNDING: The National University of Singapore and the United Nations Children's Fund (UNICEF).


Subject(s)
Developing Countries/statistics & numerical data , Infant Mortality , Sex Ratio , Age Distribution , Bayes Theorem , Child, Preschool , Female , Humans , Infant , Male , Sex Distribution
3.
PLoS Med ; 9(8): e1001287, 2012.
Article in English | MEDLINE | ID: mdl-22952433

ABSTRACT

INTRODUCTION: Producing estimates of infant (under age 1 y), child (age 1-4 y), and under-five (under age 5 y) mortality rates disaggregated by sex is complicated by problems with data quality and availability. Interpretation of sex differences requires nuanced analysis: girls have a biological advantage against many causes of death that may be eroded if they are disadvantaged in access to resources. Earlier studies found that girls in some regions were not experiencing the survival advantage expected at given levels of mortality. In this paper I generate new estimates of sex differences for the 1970s to the 2000s. METHODS AND FINDINGS: Simple fitting methods were applied to male-to-female ratios of infant and under-five mortality rates from vital registration, surveys, and censuses. The sex ratio estimates were used to disaggregate published series of both-sexes mortality rates that were based on a larger number of sources. In many developing countries, I found that sex ratios of mortality have changed in the same direction as historically occurred in developed countries, but typically had a lower degree of female advantage for a given level of mortality. Regional average sex ratios weighted by numbers of births were found to be highly influenced by China and India, the only countries where both infant mortality and overall under-five mortality were estimated to be higher for girls than for boys in the 2000s. For the less developed regions (comprising Africa, Asia excluding Japan, Latin America/Caribbean, and Oceania excluding Australia and New Zealand), on average, boys' under-five mortality in the 2000s was about 2% higher than girls'. A number of countries were found to still experience higher mortality for girls than boys in the 1-4-y age group, with concentrations in southern Asia, northern Africa/western Asia, and western Africa. In the more developed regions (comprising Europe, northern America, Japan, Australia, and New Zealand), I found that the sex ratio of infant mortality peaked in the 1970s or 1980s and declined thereafter. CONCLUSIONS: The methods developed here pinpoint regions and countries where sex differences in mortality merit closer examination to ensure that both sexes are sharing equally in access to health resources. Further study of the distribution of causes of death in different settings will aid the interpretation of differences in survival for boys and girls. Please see later in the article for the Editors' Summary.


Subject(s)
Child Mortality , Sex Characteristics , Statistics as Topic , Child , Developed Countries/statistics & numerical data , Developing Countries/statistics & numerical data , Female , Geography , Humans , Infant , Infant Mortality , Male , Sex Ratio
4.
Popul Stud (Camb) ; 66(1): 1-28, 2012 Mar.
Article in English | MEDLINE | ID: mdl-22150635

ABSTRACT

Mortality estimates for many populations are derived using model life tables, which describe typical age patterns of human mortality. We propose a new system of model life tables as a means of improving the quality and transparency of such estimates. A flexible two-dimensional model was fitted to a collection of life tables from the Human Mortality Database. The model can be used to estimate full life tables given one or two pieces of information: child mortality only, or child and adult mortality. Using life tables from a variety of sources, we have compared the performance of new and old methods. The new model outperforms the Coale-Demeny and UN model life tables. Estimation errors are similar to those produced by the modified Brass logit procedure. The proposed model is better suited to the practical needs of mortality estimation, since both input parameters are continuous yet the second one is optional.


Subject(s)
Life Expectancy , Life Tables , Mortality/trends , Statistics as Topic/methods , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , Child , Child, Preschool , Databases, Factual , Female , Humans , Infant , Infant, Newborn , Logistic Models , Male , Middle Aged , Models, Statistical , Probability , Risk Assessment , Young Adult
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