Measuring disability with parsimony

Verbrugge, Lois M.; Merrill, Susan S.; Liu, Xian

doi:10.1080/096382899297729

Cited by 72 publications

(53 citation statements)

References 11 publications

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“…18 From 1993 through 2001, more than 1.2 million adults 18 years of age or older in the U.S. answered these questions on the population-based Behavioral Risk Factor Surveillance (BRFSS) surveys. Measures based on these questions have proved useful in quantifying the perceived burden of chronic health conditions [19][20][21][22][23][24] and disabilities 25,26 and have helped to identify the health-related needs of vulnerable populations. [27][28][29][30] For the present study, we used these data to estimate trends in HRQOL and SRH for adults in the U.S. and for sociodemographic and geographic groups.…”

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confidence: 99%

Worsening Trends in Adult Health-Related Quality of Life and Self-Rated Health—United States, 1993–2001

et al. 2004

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SYNOPSISObjectives. Health-related quality of life and self-rated health complement mortality and morbidity as measures used in tracking changes and disparities in population health. The objectives of this study were to determine whether and how health-related quality of life and self-rated health changed overall in U.S. adults and in specific sociodemographic and geographic groups from 1993 through 2001.Methods. The authors analyzed data from annual cross-sectional Behavioral Risk Factor Surveillance System surveys of 1.2 million adults from randomly selected households with telephones in the 50 states and the District of Columbia.

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mentioning

confidence: 99%

Worsening Trends in Adult Health-Related Quality of Life and Self-Rated Health—United States, 1993–2001

et al. 2004

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“…7,8,19,22 In se ve ral studi es, the pre va len ce of ac ti vity li mi ta ti ons in chil dren with chro nic he alth con di ti on was re ported to ran ge from 3.6 to 14.8%. 7,9,15,23,[26][27][28] Alt ho ugh the scho ol ab sen ce days in chil dren with chro nic he alth con di ti ons (Tab le 4) we re slightly hig her than that re por ted el sew he re 9,23 it was still wit hin the re fe ren ce po ints. 11,25,26,27 .…”

Section: Discussionmentioning

confidence: 99%

“…15 If ans wer was yes; fa mi li es we re then as ked what he alth prob lem the ir chil dren suf fe red in or der to de ter mi ne ac ti vity limi ta ti on. Ba sed on res pon ses, ac ti vity-li mi ta ti ons we re gro u ped as mo bi lity, self-ca re, com mu ni ca tion with the con tent pa ral lel to the sub do ma ins inc lu ded wit hin the ICF hand bo ok 16 and as in many si mi lar stu di es.…”

Section: Ma Te Ri Al and Met Hodsmentioning

confidence: 99%

“…Ba sed on res pon ses, ac ti vity-li mi ta ti ons we re gro u ped as mo bi lity, self-ca re, com mu ni ca tion with the con tent pa ral lel to the sub do ma ins inc lu ded wit hin the ICF hand bo ok 16 and as in many si mi lar stu di es. 7,10,[15][16][17] Mo bi lity inc lu ded be ing in ne ed of help or su per vi si on when go ing to scho ol; self-ca re, ne e ding help whi le ea ting, dres sing and bat hing; and com mu ni ca ti on, ha ving dif fi cul ti es in com mu ni ca ting with fri ends and te ac hers. The se thre e dis tinct li mi ta ti ons we re then gat he red under func ti o nal ac ti vity li mi ta ti ons.…”

Section: Ma Te Ri Al and Met Hodsmentioning

confidence: 99%

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Functional Limitations Associated with Chronic Health Conditions Among School-Aged Children in Kayseri, Turkey

Şenol¹,

Sığmalı²,

Balcı³

et al. 2011

Turkiye Klinikleri J Med Sci

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A AB BS S T TR RA AC CT T O Ob b j je ec c t ti i v ve e: :The aims of this study we re to as sess the pre va len ce of ac ti vity li mi ta tions in scho ol age chil dren with chro nic he alth con di ti ons/im pa ir ments and to de ter mi ne the affec ting fac tors in Kay se ri, Tur key. M Ma a t te e r ri i a al l a an nd d M Me et t h ho od ds s: : This cross-sec ti o nal study was con duc ted in Kay se ri, Tur key, in 2006. A qu es ti on na i re was given to the pa rents of 4508 chil dren aged 7-17 ye ars, se lec ted ran domly from 20 pri mary scho ols out of 99. Di sa bi lity was de fi ned as a long-term ina bi lity in so ci al ro le ac ti vi ti es in nor mal func ti on or scho ol, du e to a chro nic physical or men tal he alth con di ti on du ring the previous ye ar. R Re e s su ul lt ts s: : Out of 4508 chil dren aged 7 to 17 years, 35.3% had one or mo re chro nic he alth con di ti ons whi le 3.7% had ac ti vity-li mi ting con di ti ons. The ra te of ac ti vity li mi ta ti ons was 9.2% in chil dren with chro nic he alth con di tions, which was sig ni fi cantly hig her than their he althy pe ers (0.8%). Ac ti vity-li mi ting con di tions we re hig her in chil dren with low-edu ca ted and low-in co me fa mi li es. They we re al so mo re com mon in chil dren with te eth and pe ri o don tal di se a ses, vi su al im pa ir ment, spe ech im pe diments and psychi at ric/ner vo us prob lems. C Co on nc c l lu u s si i o on n: : Ac ti vity-li mi ting con di ti ons in scho olaged chil dren with chro nic he alth con di ti ons are ma jor pub lic he alth prob lems. Long-term chro nic he alth con di ti ons and bad family and environmental factors are sig ni fi cant risk fac tors for ac ti vity li mi ta ti on. Tar ge ting on pre ven ti on and re ha bi li ta ti on ef forts in such chil dren and fa mi li es may be an im por tant way of decreasing the im pact of chronic conditiens.K Ke ey y W Wo or rd ds s: : Di sab led chil dren; chro nic di se a se; so ci al class Ö ÖZ ZE ET T A Am ma aç ç: : Bu ça lış ma nın amaç la rı Tür ki ye' de, Kay se ri' de okul ça ğı ço cuk la rı ara sın da kro nik sağ lık so run la rı/bo zuk luk la rı na bağ lı ak ti vi te kı sıt lı lık la rı pre va lan sı nı ve et ki le yen fak tör le ri değer len dir mek tir. G Ge e r re eç ç v ve e Y Yö ön n t te em m l le er r: : Bu ke sit sel ça lış ma 2006 yı lın da, Tür ki ye' de, Kay se ri' de yü rü tül dü. Doksan dokuz il köğ re tim oku lun dan 20'sin de rast ge le se çi len 7-17 yaş ara sı 4508 ço -cu ğun ebe vey ni ne an ket uy gu lan dı. Kı sıt lı lık (özür lü lük) bir ön ce ki yıl sü re sin ce okul ve ya gün-lük ha yat ta ki sos yal rol çer çe ve sin de ki ak ti vi te le ri ni kro nik fi zik sel ve men tal sağ lık so run la rı ne de niy le ye ri ne ge ti re me me ola rak ta nım lan dı. B Bu ul l g gu u l la ar r: : Yaş la rı 7 ile 17 ara sı de ği şen 4508 ço -cuk tan %35.3'ün de bir ve ya da ha faz la kro nik sağ lık so ru nu var ken %3.7'sin de ak ti vi te kı sıt lı lı -ğı bu lun du. Kro nik sağ lık so ru nu olan ço cuk lar da ak ti vi te kı sıt lı ...

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“…Responses were collapsed to a dichotomous outcome, poor health (very bad health, bad health) versus good health (moderate health, good health, very good health). Single items have been frequently used to measure SRH (32)(33)(34)(35)(36)(37)(38)(39)(40). Test-retest reliability for single items range from 0.7 to 0.8.…”

Section: Main Outcomementioning

confidence: 99%

Gender Differences in Vulnerability to Socioeconomic Status on Self-Rated Health in 15 Countries

2017

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Objectives: This study compared 15 countries for multiplicative effects of gender by education and by income on self-rated health of individuals with chronic medical conditions. Methods: We analyzed data from the Research on Early Life and Aging Trends and Effects (RELATE) Study. Participants were sampled from 15 countries including Argentina, Barbados, Brazil, Chile, Cuba, Costa Rica, China, India, Ghana, Russia, Puerto Rico, South Africa, Mexico, Uruguay, and the United States. The analytical sample was limited to individuals with at least one chronic medical condition. The main outcome of interest was self-rated health (SRH). Country-specific logistic regressions were used for data analysis. We ran separate models with gender × education and gender × income interactions. Results:In Ghana, Uruguay, and India, gender moderated the effects of socioeconomic status (SES) on SRH. In Ghana and Uruguay, education and in Mexico and India, income had a stronger effect on SRH for women than men. Conclusions: Countries vary in gender differences in vulnerability to SES indicators on SRH of patients with chronic medical conditions. Women are more vulnerable than men to the effect of low SES on SRH in Ghana, Uruguay, Mexico, and India.Keywords: Gender, Socio-Demographics, Self-Rated Health, Cross Country Study BackgroundAlthough women live longer than men (1, 2), they consistently report poorer self-rated health (SRH) compared to men (3). At least in part, some of this gender gap is due to lower socio-economic status (SES) of women than men (4, 5). Countries, however, may vary in the mechanisms by which gender affects health status of the populations. To investigate such hypothesis, there is a need to conduct cross-country studies that investigate the gender gap in SRH as well as gender differences in vulnerability to SES indicators.The Research on Early Life and Aging Trends and Effects (RELATE) Study has provided a unique opportunity to compare countries for additive and multiplicative effects of gender, SES, and medical conditions on SRH. RELATE is composed of multiple national surveys conducted in 15 countries located in Asia, Africa, North America, and South America (6, 7). RELATE is composed of low income (Ghana), lower middle income (China and India), upper middle income (Argentina, Cuba, Uruguay, Chile, Costa Rica, Brazil, Mexico, and Russia), and high income (Barbados, Puerto Rico and the United States) countries (7).Gender influences SRH and well-being in multiple ways (8). In addition to the main effect of gender on SRH (9), gender may moderate the effect of SES and other risk and protective factors on health and well-being (10-17). Among patients with heart disease, income and education had a stronger protective effect on well-being for women than men (10, 11). This means among individuals with a heart disease, women are more vulnerable to the detrimental effect of low education and income compared to men (10, 11). A cross-country comparison of the effects of gender and SES on SRH showed that men requir...

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Measuring disability with parsimony

Abstract: Routine inclusion of a global disability item in surveys is recommended, and specific suggestions are made to aid its design.

Cited by 72 publications

References 11 publications

Worsening Trends in Adult Health-Related Quality of Life and Self-Rated Health—United States, 1993–2001

Worsening Trends in Adult Health-Related Quality of Life and Self-Rated Health—United States, 1993–2001

Functional Limitations Associated with Chronic Health Conditions Among School-Aged Children in Kayseri, Turkey

Gender Differences in Vulnerability to Socioeconomic Status on Self-Rated Health in 15 Countries

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