etween SES and health is a dose-response relationship, and not a relationship described by a thresholdeffect where the worse-off have poor health while everyone else has good health.The gradient has been found using different measures of SES and of health (Berkman & Kawachi,2000). Health indicators consist of mortality (all-cause and disease-specific mortality, infant mortality andlife expectancy), morbidity, and self-rated health, including quality of life indicators. In the U.S., the healthgradient was first reported by Kitagawa and Hauser (1973) (Kitagawa & Hauser, 1973) who mergedCensus and death records and found a relationship between mortality and SES, whether income,education or occupation was used as the indicator of SES. The inverse association between SES andmortality was reported in several U.S. communities, for example Evans County Georgia (Tyroler et al.,1984), Washington County, Maryland (Comstock & Tonasica, 1977), Alameda County, California (Haan M.et al., 1987), and Tecumseh, Michigan (Williams D. R., 1986). More recently, Backlund, Sorlie, & Johnson(1996) (Backlund et al., 1996) and Sorlie, Backlund, & Keller (1995) (Sorlie et al., 1995) used the NationalLongitudinal Mortality Study surveys, which represent approximately 500,000 personal or telephoneinterviews and 40,000 deaths, to describe the relationship between income and mortality. An incomebasedgradient with declining mortality associated with increasing income exists in all age groups for bothmales and females, though it is steeper in working-age groups and for males. The gradient flattens butremains when controlling for household size, education, marital status and employment status, indicatingthat income has an independent effect on health.An SES gradient in morbidity, impairments, and disability is also apparent (Williams D. R., 1990).Rates of chronic illness are higher among the disadvantaged (Haan M. N. & Kaplan, 1986; Lerner, 1975;Newacheck et al., 1980). The mortality and morbidity gradient is present with other socioeconomicvariables such as wealth, employment grade or social class. For example, a gradient was found in theclassic Whitehall study of civil servants in the United Kingdom (Marmot M. G., 1986). The top gradeadministrative civil servants had a 10-year cumulative mortality rate half that of the next gradeprofessional/executive civil servants, three times lower than the next grade clerical civil servants, and fourtimes lower than civil servants in the lowest grade. The gradient holds for many, but not all, healthoutcomes, including cause-specific mortality, morbidity or self-reported health. The SES based healthgradient is a fairly universal phenomenon. Differences in health by SES have been reported in Norway,Denmark, Finland, Germany, the Netherlands, Australia, New Zealand, Canada, Japan and severaldeveloping countries (Haan M. N. & Kaplan, 1986; Marmot M. et al., 1987; Williams D. R., 1990; WolfsonM. et al., 1993).SES is usually measured by income, education, occupational status, social class or a combinationof these factors. Among these measures, education stands out as the most basic SES component since itshapes future occupational opportunities and earning potential (Adler & Newman, 2002). Education isconsidered the primary and core status dimension that influences all other dimensions of statusthroughout the lifetime (Mirowsky & Ross, 2003). Education provides life skills that allow educated peopleto gain access to resources that promote health and to use these resources more effectively. Bettereducated people are more likely to be employed, to be working in well-paying jobs, to be in moreprestigious occupations, and to have more control, autonomy, creativity and authority on the job (Mirowsky& Ross, 2003). Education is the antecedent to all other measures of SES as it comes early in life andinfluences all other measures of SES.The association between SES and health becomes more robust when SES is measured byeducation (Fuchs V. R., 1979; Kitagawa & Hauser, 1973; Lebowitz, 1977; Liberatos et al., 1988; WilliamsD. R., 1990). Winkleby and colleagues, in an attempt to untangle the relative effect of education, incomeand occupation, found that only education remained a significant predictor of cardiovascular disease wheneducation, income and occupation were all included (Winkleby et al., 1992). These results taken togetherhave lead researchers to conclude that education is the best SES predictor of health status (Williams D.R., 1990).E-27
In the study of education and health, education is usually measured by years of completed formaleducation or by the highest degree obtained. For example high school graduates are compared to thosewithout a high school diploma or to those with a college degree. The impact on health outcomes of collegeselectivity for those with a college degree and the credential of a college degree have also beeninvestigated (Ross C. E. & Mirowsky, 1999).Section 2. The Links between Educational Attainment and Adult Health StatusThis section reviews the evidence that education improves health outcomes. We rely heavily onLow’s (Low, 2005) and Mirowsky and Ross (2003) (Mirowsky & Ross, 2003) excellent summaries inpresenting this evidence. In general, better educated people are healthier, report better health, and havelower mortality, morbidity and disability (Coburn & Pope, 1974; Ross C. E. & Van Willigen, 1997). Rossand Mirowsky (Ross C. E. & Mirowsky, 1999) have shown that the quality of the education received and ofthe educational environment increase the positive effects of education on health. The evidence that moreeducation is associated with better health is strong (Deaton & Paxton, 1999; Grossman & Kaestner, 1997;Kaplan & Kiel, 1993).Health Literacy and Health Knowledge. While education improves health, lack of education, and theresulting low literacy, is associated with poor health. Literacy, one of the main products of education, isassociated with several aspects of health. Health literacy allows individuals to understand and act uponhealth information and has been related to knowledge about health, personal health status, and the use ofhealth service. Literacy improves health knowledge and skills in managing their disease in patients withhypertension, diabetes, and asthma (Williams M. V. et al., 1998a; Williams M. V. et al., 1998b). Literacywas a better predictor of metastases than age and race in prostate cancer patients (Bennett C. L. et al.,1998).Mortality. A strong inverse relationship between years of education and all-cause mortality is reported byElo and Preston (Elo & Preston, 1996). Actuarial estimates show 5 to 6 years differences in lifeexpectancy between the least and the most educated (Rogot et al., 1992). Mortality rates vary greatly withyears of education, for example compared with individuals with 17 or more years of education, those with16 years are 25% more likely to die and those with less than 9 years of education are 100% more likely todie (Rogers et al., 1999). These differences in mortality rates by educational level have been increasingover time (Elo & Preston, 1996; Feldman et al., 1989).Infant Mortality. Infant mortality is a key indicator of health and wellbeing of societies (UNICEF, 2003).One of the best predictors and contributors to fetal and infant mortality is thought to be low birth weigh(Chen et al., 1998; Newland, 1981; Shapiro et al., 1980; Shoham-Yakubovich & Barell, 1988). Researchhas shown that mother’s educational level is inversely related to both infant mortality (Arntzen & NyboAndersen, 2004; Arntzen et al., 2004; Buor, 2003; Gisselmann, 2005; Olsen & Madsen, 1999; Pena et al.,2000) and low birth weight (Chen et al., 1998; Shapiro et al., 1980), that is, infant mortality risk decreasesas the mother’s educational level increases (Bicego & Boerma, 1993; Burne & Walker, 1991; Caldwel,1979; Newland, 1981; Wagstaff et al., 2004). Albeit the relationship might be well established, theexplanatory mechanisms behind this relationship are still debated. One of the possible pathways is thatmothers’ education increases the access and proper utilization of preventive or curative health carefacilities (Buor, 2003; Gubhaju, 1991), the personal skills and abilities and, more importantly, educationmay change traditional familiar relationships (Caldwel, 1979).Morbidity and Chronic Disease. There is evidence of a morbidity gradient based on education. Mirowskyand Ross (2003) report that less educated persons are more likely to suffer from the common chronicconditions, with the exception of cancer. For example, arthritis and osteoporosis, hypertension, heartdisease, diabetes and lung disease are more likely to be diagnosed among those with no high schooldegree and least likely in those with college degrees. The probability of reporting diagnosis of at least oneof the above condition is 35.7% for those with college degrees, 41.6% for those who completed highschool, and 64.7% for those who did not complete high school (Mirowsky & Ross, 2003).E-28
- Page 3 and 4:
Appendix ATask Force Members and St
- Page 5 and 6:
Hector Balcazar, Ph.D.Regional Dean
- Page 7 and 8:
Charles Haley, M.D., M.S.Medical Di
- Page 9:
Michael McKinney, M.D.Senior Execut
- Page 12 and 13:
M. Roy Wilson, M.D.PresidentTexas T
- Page 14 and 15:
Appendix BMedicaid and the State Ch
- Page 16 and 17:
services. There are two broad types
- Page 18 and 19:
Mandatory and Optional Covered Popu
- Page 20 and 21:
• Nurse-midwife services;• Fede
- Page 22 and 23:
Disproportionate Share Hospital Pro
- Page 24 and 25:
March 13, 2001, that limited the am
- Page 26 and 27:
year from FFY 2002-2004, $4.05 bill
- Page 28 and 29:
Medicaid beneficiaries. Section 191
- Page 30 and 31:
started in 2001 and 2002 to curb in
- Page 32 and 33:
urban and with fewer than 250,000 p
- Page 34 and 35:
Protection Act of 2000 and the Medi
- Page 36 and 37:
orientation). Recipients of Supplem
- Page 38 and 39:
enrollee is assigned a primary care
- Page 40 and 41:
Table 7. Texas Medicaid Policy Chan
- Page 42 and 43:
Table 8. Texas SCHIP Policy Changes
- Page 44 and 45:
families (through the employer’s
- Page 46 and 47:
share of the match must come from t
- Page 48 and 49:
Reinstating the Medically Needy Spe
- Page 50 and 51:
Endnotes1 Texas Health and Human Se
- Page 52 and 53:
35 Powers, Pyles, Sutter, and Vervi
- Page 54 and 55:
73 Office of Management and Budget,
- Page 56 and 57:
113 TexCare, Children’s Health In
- Page 58 and 59:
150 Lyndon B. Johnson School of Pub
- Page 60 and 61:
States by Groupings with Current El
- Page 62 and 63:
Medicaid and the State Children’s
- Page 64 and 65:
Graduate Medical Education ProgramA
- Page 66 and 67:
needs, however, there is a shortage
- Page 68 and 69:
15 Texas Association of Counties,
- Page 70 and 71:
ecording and evaluation; physical e
- Page 72 and 73:
Medicaid and the State Children’s
- Page 74 and 75:
ReferencesAmerican Academy of Pedia
- Page 76 and 77:
downloads/bipa.pdf#search='Medicare
- Page 78 and 79:
Texas Health and Human Services Com
- Page 80 and 81:
Appendix CAn Analysis of Reform Opt
- Page 82 and 83:
Encouraged by these low rates, Cong
- Page 84 and 85:
Establishing state-only tax incenti
- Page 86 and 87:
New York passed the Health Care Ref
- Page 88 and 89:
Hospital Cost Containment — Maryl
- Page 90 and 91:
dollar spent. 237 Texas spent almos
- Page 92 and 93:
Another option for small businesses
- Page 94 and 95:
• Medical equipment and supplies,
- Page 96 and 97:
pay the premiums for Medicaid benef
- Page 98 and 99:
Medicaid to children born after Sep
- Page 100 and 101:
Bill of Rights or “TABOR”; and
- Page 102 and 103:
The federal share for CHP+ is 65 pe
- Page 104 and 105:
SCHIP: increased eligibility in CHP
- Page 106 and 107:
• Medical equipment and supplies
- Page 108 and 109:
6. Funds obtained through the recov
- Page 110 and 111:
Status ReportMaineCare Program Expa
- Page 112 and 113:
the federal poverty level. 404 Sinc
- Page 114 and 115:
need their jobs as a source of empl
- Page 116 and 117:
Endnotes191 Deborah Chollet, Issue
- Page 118 and 119:
225 Ibid.226 Maryland Health Care C
- Page 120 and 121:
259 Kaiser Family Foundation, State
- Page 122 and 123:
SCHIP&subcategory=Medicaid+Spending
- Page 124 and 125:
325 Kaiser Family Foundation, State
- Page 126 and 127:
361 State Coverage Initiatives, Sta
- Page 128 and 129:
SCHIP&subcategory=SCHIP&topic=Feder
- Page 130 and 131:
An Analysis of Reform Options Devel
- Page 132 and 133:
ReferencesAdvantage Insurance and F
- Page 134 and 135:
Donnell-Kay Foundation. “Amendmen
- Page 136 and 137:
Kaiser Family Foundation. Demograph
- Page 138 and 139:
State Coverage Initiatives. Profile
- Page 140 and 141:
Appendix DLocal Initiatives to Expa
- Page 142 and 143:
with more coordinated services that
- Page 144 and 145:
FinancingSources of revenue include
- Page 146 and 147:
AdministrationThe Health and Hospit
- Page 148 and 149:
Until 1993, Denver Health (DH) was
- Page 150 and 151:
different benefit plans are offered
- Page 152 and 153:
Cost SharingPatient cost-sharing is
- Page 154 and 155:
management programs. I-Care promote
- Page 156 and 157:
the county indigent care plan. Bene
- Page 158 and 159:
Firstplan xxvi,12Moore County, Mich
- Page 160 and 161:
Benefits and ServicesEnrollees can
- Page 162 and 163: EligibilityAs of 2005, enrollment i
- Page 164 and 165: etween $23 and $120 per month. Ther
- Page 166 and 167: Healthcare Accountability Act xxxvi
- Page 168 and 169: Coordination - When health care age
- Page 170 and 171: subsidized initiatives offer exposu
- Page 172 and 173: arriers, two health plans attempted
- Page 174 and 175: xxi Simmons, Sandy Coe, Gionfriddo,
- Page 176 and 177: Table 1 (Continued). Local Care Ini
- Page 178 and 179: Table 2 (Continued). Local Coverage
- Page 180 and 181: Appendix EEducation and Health:A Re
- Page 182 and 183: The human capital approach suggests
- Page 184 and 185: etween standardized test scores (St
- Page 186 and 187: INTRODUCTIONEducation plays a wide
- Page 188 and 189: of children with chronic health con
- Page 190 and 191: Implications. Given the current pre
- Page 192 and 193: DiabetesPrevalence. Diabetes in chi
- Page 194 and 195: Limitations. The cross-sectional de
- Page 196 and 197: chronic lung disease, cystic fibros
- Page 198 and 199: significant differences between tho
- Page 200 and 201: Table 1. Prevalence of Selected Chr
- Page 202 and 203: findings of lower test scores are b
- Page 204 and 205: al (McKewen et al., 1998) report a
- Page 206 and 207: Section 3. School-Based Interventio
- Page 208 and 209: mathematics, science and oral expre
- Page 210 and 211: Table 4. Summary of Research Findin
- Page 214 and 215: Self-Rated Health. Evidence accumul
- Page 216 and 217: economic hardship. One of the skill
- Page 218 and 219: Education also improves the stabili
- Page 220 and 221: sex in the expectation of a more pr
- Page 222 and 223: TABLE 6. SUMMARY OF EXPLANATIONS FO
- Page 224 and 225: According to the Census 2000 data,
- Page 226 and 227: Policy Reports Recommendations (Tot
- Page 228 and 229: Section 2. Recommendations on Schoo
- Page 230 and 231: Childhood ConditionsSchool-based Pr
- Page 232 and 233: Childhood ConditionsDiabetes (n=11)
- Page 234 and 235: eduction in reading test scores com
- Page 236 and 237: Table 10. Estimates of the Cost of
- Page 238 and 239: National Asthma Education and Preve
- Page 240 and 241: REFERENCESAck, M., Miller, I., & We
- Page 242 and 243: Elo, I. T., & Preston, S. H. (1996)
- Page 244 and 245: Kaemingk, K. L., Pasvogel, A. E., G
- Page 246 and 247: Miller, D. S., & Miller, T. Q. (199
- Page 248 and 249: Ross, C. E., & Wu, C. L. (1996). Ed
- Page 250 and 251: Williams, D. R. (1990). Socioeconom
- Page 252 and 253: SAMPLE, DESIGN, & INTERVENTIONACHIE
- Page 254 and 255: SAMPLE, DESIGN, & INTERVENTIONStudy
- Page 256 and 257: SAMPLE, DESIGN, & INTERVENTIONACHIE
- Page 258 and 259: SAMPLE, DESIGN, & INTERVENTIONACHIE
- Page 260 and 261: SAMPLE, DESIGN, & INTERVENTIONACHIE
- Page 262 and 263:
SAMPLE, DESIGN, & INTERVENTIONACHIE
- Page 264 and 265:
SAMPLE, DESIGN, & INTERVENTIONACHIE
- Page 266 and 267:
SAMPLE, DESIGN, & INTERVENTIONACHIE
- Page 268 and 269:
SICKLE CELL ANEMIAArmstrong(1996)SA
- Page 270 and 271:
SAMPLE, DESIGN, & INTERVENTIONACHIE
- Page 272 and 273:
SAMPLE, DESIGN, & INTERVENTIONSickl
- Page 274 and 275:
SAMPLE, DESIGN, & INTERVENTIONhemog
- Page 276 and 277:
SAMPLE, DESIGN, & INTERVENTIONACHIE
- Page 278 and 279:
SAMPLE, DESIGN, & INTERVENTIONStudy
- Page 280 and 281:
Curriculum Content: Statute §28.00
- Page 282 and 283:
• HEALTH PROMOTING ENVIRONMENTSch
- Page 284 and 285:
• COORDINATION/IMPLEMENTATIONCoor
- Page 286 and 287:
Education and Health: A Review and
- Page 288 and 289:
Appendix FState Regulation of Healt
- Page 290 and 291:
coverage they offer. 14 By 2004 onl
- Page 292 and 293:
poor health may make coverage more
- Page 294 and 295:
account for most, or even much, of
- Page 296 and 297:
More active state intervention in t
- Page 298 and 299:
Table 3 (GAO Appendix IV) shows whi
- Page 300 and 301:
Appendix GEmergency and Trauma Care
- Page 302 and 303:
The treatment of shock prior to sur
- Page 304 and 305:
the EMS needs in rural areas of the
- Page 306 and 307:
Level IV trauma centers should be a
- Page 308 and 309:
Table 2. Trends in Trauma Severity,
- Page 310 and 311:
the hospitals were on diversion or
- Page 312 and 313:
Representative Delisi was successfu
- Page 314 and 315:
Mental Health Access ChallengesCare
- Page 316 and 317:
fhttp://www.techproservices.net/his
- Page 318 and 319:
oohttp://www.saveourers.org/reports
- Page 320 and 321:
Appendix HBrief: Consulate ClinicDe
- Page 322 and 323:
In addition, the roundtable discuss
- Page 324 and 325:
clinic(s) affiliated with medical s
- Page 326 and 327:
Appendix ICommon Abbreviations
- Page 328 and 329:
HMOHRQOLHRSAICF/MRIHCTAIOMISSLBBLIU
- Page 330 and 331:
Appendix JPresentersDate/Location:
- Page 332 and 333:
Appendix KProvider Taxes: A Differe
- Page 334:
were previously categorized as char