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references.bib
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@book{swindale_household_2006,
location = {Washington, {DC}},
title = {Household Dietary Diversity Score ({HDDS}) for measurement of household food access: Indicator guide (v.2)},
publisher = {{FHI} 360/{FANTA}},
author = {Swindale, Anne and Bilinsky, Paula},
date = {2006-09},
}
@book{kennedy_guidelines_2010,
location = {Rome},
title = {Guidelines for Measuring Household and Individual Dietary Diversity},
publisher = {{FAO}},
author = {Kennedy, Gina and Ballard, Terri and Dop, {MarieClaude}},
date = {2010},
}
@book{world_health_organization_management_2000,
location = {Geneva},
title = {The management of nutrition in major emergencies},
publisher = {World Health Organization},
author = {{World Health Organization}},
date = {2000},
}
@book{ballard_household_2011,
location = {Washington, {DC}},
title = {Household Hunger Scale: Indicator Definition and Measurement Guide},
publisher = {{FHI} 360/{FANTA}},
author = {Ballard, Terri and Coates, Jennifer and Swindale, Anne and Deitchler, Megan},
date = {2011-08},
}
@incollection{ruel_measuring_2014,
location = {Washington, {DC}},
title = {Measuring and Tracking the Access Dimension of Food Security: Available Indicators and Recommendations for Future Investments Technical Note 6},
booktitle = {Global Nutrition Report 2014},
publisher = {International Food Policy Research Institute},
author = {Ruel, Marie and Ballard, Terri and Deitchler, Megan},
date = {2014},
}
@misc{washington_group_on_disability_statistics_washington_2022,
title = {The Washington Group Short Set on Functioning ({WG}-{SS})},
url = {https://www.washingtongroup-disability.com/fileadmin/uploads/wg/Washington_Group_Questionnaire__1_-_WG_Short_Set_on_Functioning__October_2022_.pdf},
author = {{Washington Group on Disability Statistics}},
date = {2022-10-11},
}
@article{katz_studies_1963,
title = {Studies of Illness in the Aged - the Index of Adl - a Standardized Measure of Biological and Psychosocial Function},
volume = {185},
url = {http://jama.jamanetwork.com/article.aspx?doi=10.1001/jama.1963.03060120024016},
doi = {10.1001/jama.1963.03060120024016},
pages = {914 -- 919},
number = {12},
journaltitle = {{JAMA}: The Journal of the American Medical Association},
author = {Katz, S and {AB}, {FORD}, and {MOSKOWITZ}, R W and {JACKSON}, B A and {JAFFE}, M W},
date = {1963},
pmid = {14044222},
}
@article{katz_progress_1970,
title = {Progress in Development of the Index of {ADL}},
volume = {10},
issn = {0016-9013},
url = {https://academic.oup.com/gerontologist/article-abstract/10/1\_Part\_1/20/530064},
doi = {10.1093/geront/10.1_part_1.20},
abstract = {The Index of Independence in Activities of Daily Living ({ADL}), now in frequent use in rehabilitation settings, has application for prevention of disability and maintenance of rehabilitation gains in the aging person in all settings. Since the Index is sensitive to changes in meaningful self-care functions, uses well-defined criteria, and can be broadly taught to non-professionals, it has considerable practical value as a longitudinal measure of change and predictor of adaptive capacity in terms of community residences and congregate living facilities.},
pages = {20 -- 30},
number = {1},
journaltitle = {The Gerontologist},
author = {Katz, Sidney and Downs, Thomas D and Cash, Helen R and Grotz, Robert C},
date = {1970-03},
}
@article{katz_assessing_2015,
title = {Assessing Self-maintenance: Activities of Daily Living, Mobility, and Instrumental Activities of Daily Living},
volume = {31},
url = {http://doi.wiley.com/10.1111/j.1532-5415.1983.tb03391.x},
doi = {10.1111/j.1532-5415.1983.tb03391.x},
pages = {721 -- 727},
number = {12},
journaltitle = {Journal of the American Geriatrics Society},
author = {Katz, Sidney},
date = {2015-04},
}
@article{kessler_short_2002,
title = {Short screening scales to monitor population prevalences and trends in non-specific psychological distress},
volume = {32},
url = {https://www.cambridge.org/core/article/short-screening-scales-to-monitor-population-prevalences-and-trends-in-nonspecific-psychological-distress/F141675CCD0E08C0FB98E01C006B4E0D},
doi = {10.1017/s0033291702006074},
abstract = {Welcome to Cambridge Core},
pages = {959 -- 976},
number = {6},
journaltitle = {Psychological medicine},
author = {Kessler, R C and Andrews, G and Colpe, L J and Hiripi, E and Mroczek, D K and {NORMAND}, S L T and Walters, E E and Zaslavsky, A M},
date = {2002-08},
pmid = {12214795},
}
@article{kessler_screening_2003,
title = {Screening for Serious Mental Illness in the General Population},
volume = {60},
issn = {0003-990X},
doi = {10.1001/archpsyc.60.2.184},
abstract = {Background Public Law 102-321 established a block grant for adults with "serious mental illness" ({SMI}) and required the Substance Abuse and Mental Health Services Administration ({SAMHSA}) to develop a method to estimate the prevalence of {SMI}.Methods Three {SMI} screening scales were developed for possible use in the {SAMHSA} National Household Survey on Drug Abuse: the Composite International Diagnostic Interview Short-Form ({CIDI}-{SF}) scale, the K10/K6 nonspecific distress scales, and the World Health Organization Disability Assessment Schedule ({WHO}-{DAS}). An enriched convenience sample of 155 respondents was administered all screening scales followed by the 12-month Structured Clinical Interview for {DSM}-{IV} and the Global Assessment of Functioning ({GAF}). We defined {SMI} as any 12-month {DSM}-{IV} disorder, other than a substance use disorder, with a {GAF} score of less than 60.Results All screening scales were significantly related to {SMI}. However, neither the {CIDI}-{SF} nor the {WHO}-{DAS} improved prediction significantly over the K10 or K6 scales. The area under the receiver operating characteristic curve of {SMI} was 0.854 for K10 and 0.865 for K6. The most efficient screening scale, K6, had a sensitivity ({SE}) of 0.36 (0.08) and a specificity of 0.96 (0.02) in predicting {SMI}.Conclusions The brevity and accuracy of the K6 and K10 scales make them attractive screens for {SMI}. Routine inclusion of either scale in clinical studies would create an important, and heretofore missing, crosswalk between community and clinical epidemiology.},
pages = {184--189},
number = {2},
journaltitle = {Archives of General Psychiatry},
author = {Kessler, Ronald C. and Barker, Peggy R. and Colpe, Lisa J. and Epstein, Joan F. and Gfroerer, Joseph C. and Hiripi, Eva and Howes, Mary J. and Normand, Sharon-Lise T. and Manderscheid, Ronald W. and Walters, Ellen E. and Zaslavsky, Alan M.},
date = {2003},
pmid = {12578436},
}
@article{prince_brief_2010,
title = {A brief dementia screener suitable for use by non-specialists in resource poor settings-the cross-cultural derivation and validation of the brief Community Screening Instrument for Dementia},
volume = {26},
url = {http://doi.wiley.com/10.1002/gps.2622},
doi = {10.1002/gps.2622},
abstract = {Brief screening tools for dementia for use by non‐specialists in primary care have yet to be validated in non‐western settings where cultural factors and limited education may complicate the task. We aimed...},
pages = {899 -- 907},
number = {9},
journaltitle = {International Journal of Geriatric Psychiatry},
author = {Prince, M and Acosta, D and Ferri, C P and Guerra, M and Huang, Y and Jacob, K S and Rodriguez, J J Llibre and Salas, A and Sosa, A L and Williams, J D and Hall, K S and Group, the 10/66 Dementia},
date = {2010-12},
}
@book{world_health_organization_core_2006,
location = {Geneva},
title = {Core Questions on Drinking-water and Sanitation for Household Surveys},
publisher = {World Health Organization},
author = {{World Health Organization}},
date = {2006-01-02},
}
@book{world_health_organization_physical_1995,
location = {Geneva},
title = {Physical Status: The use and interpretation of anthropometry. Report of a {WHO} expert committee},
series = {{WHO} technical report series},
number = {854},
publisher = {World Health Organization},
author = {{World Health Organization}},
date = {1995-02-28},
}
@article{dale_assessment_2012,
title = {Assessment of the {PROBIT} approach for estimating the prevalence of global, moderate and severe acute malnutrition from population surveys},
volume = {16},
issn = {1368-9800},
url = {http://www.journals.cambridge.org/abstract\_S1368980012003345},
doi = {10.1017/s1368980012003345},
pages = {858 -- 863},
number = {5},
journaltitle = {Public Health Nutrition},
author = {Dale, Nancy M and Myatt, Mark and Prudhon, Claudine and Briend, André},
date = {2012-07},
}
@article{blanton_probit_2013,
title = {The {PROBIT} approach in estimating the prevalence of wasting: revisiting bias and precision.},
volume = {10},
url = {http://www.ete-online.com/content/10/1/8},
doi = {10.1186/1742-7622-10-8},
abstract = {The {PROBIT} methodology was presented in the 1995 World Health Organization Technical Report on Anthropometry as an alternative to the standard prevalence based method of measuring malnutrition in children. Theoretically the {PROBIT} method will always give a smaller standard error than the standard prevalence method in measuring malnutrition. A recent article by Dale et al. assessed the {PROBIT} method for measuring global acute malnutrition measure and found that the method was biased and the precision was superior only for sample sizes less than 150 when compared to the standard method. In a manner similar to Dale, our study further investigated the bias and precision of the {PROBIT} method for different sample sizes using simulated populations. The {PROBIT} method showed bias for each of the ten simulated populations, but the direction and magnitude of the average bias was changed depending on the simulated population. For a given simulated population, the average bias was relatively constant for all sample sizes drawn. The 95\% half-width confidence interval was lower for the {PROBIT} method than the standard prevalence method regardless of the sample size or simulated population. The absolute difference in the confidence limits showed the most gains for the {PROBIT} method for the smaller samples sizes, but the ratio of confidence intervals was relatively constant across all sample sizes. The {PROBIT} method will provide gains in precision regardless of the sample size, but the method may be biased. The direction and magnitude of the bias depends on the population it is drawn from.},
pages = {8 -- 8},
number = {1},
journaltitle = {Emerging themes in epidemiology},
author = {Blanton, Curtis J and Bilukha, Oleg O},
date = {2013-01},
pmid = {23981669},
pmcid = {PMC3846578},
}
@article{taylor_applying_1978,
title = {Applying New Design Principles to the Construction of an Illiterate E Chart},
volume = {55},
issn = {1040-5488},
doi = {10.1097/00006324-197805000-00008},
abstract = {Abstract New design principles have been applied to the construction of an illiterate E chart. A chart can thus be produced in which the only variable in the visual acuity task for letters of diferent size is the letter size itself. A simple method for using this chart in field studies is described.},
pages = {348--351},
number = {5},
journaltitle = {Optometry and Vision Science},
author = {{TAYLOR}, {HUGH} R.},
date = {1978},
pmid = {696798},
}
@article{kaiser_prospective_2009,
title = {Prospective evaluation of visual acuity assessment: a comparison of snellen versus {ETDRS} charts in clinical practice (An {AOS} Thesis).},
volume = {107},
pages = {311--24},
journaltitle = {Transactions of the American Ophthalmological Society},
author = {Kaiser, Peter K},
date = {2009},
pmid = {20126505},
pmcid = {PMC2814576},
}