Table Of Content

ELSEVIER Author Index A Bradham DD. see Sevick MA Abbott RD. see Burchfiel CM Bradley ME. see Thomas C]J Abernathy J. see Deev A Brittingham A, Tourangeau R, Kay W. Reports of Smoking Acquavella J, Olsen G, Cole P, Ireland B, Kaneene J, Schu- in a National Survey: Data from Screening and Detailed man S, Holden L. Cancer among Farmers: A Meta-Analy- Interviews, and from Self- and Interviewer-Administered sis (review), 64-74 Questions, 393-401 Adib SM, Mufarrij AA, Shamseddine Al, Kahwaji SG, Issa Broda G. see Markovitz JH P, El-Saghir NS. Cancer in Lebanon: An Epidemiological Bross ID. What Are the Underlying Sources of Racial Differ- Review of the American University of Beirut Medical ences in Health? (letter), 112 Center Tumor Registry (1983-1994), 46-51 Buck G. see Prineas RJ; Wu T Akabane M. see Tsugane S Burchfiel CM, Abbott RD, Curb JD, Sharp DS, Rodriguez Alderman BW, Zhao H, Holt VL, Watts DH, Beresford BL, Arakaki R, Yano K. Association of Insulin Levels SAA. Maternal Physical Activity in Pregnancy and In- with Lipids and Lipoproteins in Elderly Japanese-Ameri- fant Size for Gestational Age, 513-519 can Men, 92-98 Almeida RMV. see Vasconcelos AGG Burger H. see Shelley JM American College of Epidemiology Ethics and Standards of Burkart JM. see Sevick MA Practice Committee. see Prineas R] Bush A. see Lee K-S Anda RF. see Giles WH Buzas JS. see Knuiman MW Andrews JS Jr. see Prineas RJ Appel LJ. see Jee SH Arakaki R. see Burchfiel CM C Archer SL, Liu K, Dyer AR, Ruth KJ, Jacobs DR Jr, Van Carleton RA. see Derby CA Horn L, Hilner JE, Savage PJ. Relationship Between Casadevall A. Cryptococcosis in Alabama, 209 Changes in Dietary Sucrose and High Density Lipopro- Casper M. see Armstrong D tein Cholesterol: The CARDIA Study, 433-438 Casper ML. see Giles WH Armstrong D, Barnett E, Casper M, Wing S. Community Castorina J. see Armstrong DL Occupational Structure, Medical and Economic Re- Chambers LW. see Raina P sources, and Coronary Mortality among U.S. Blacks and Chatenoud L, Parazzini F, Di Cintio E, Zanconato G, Benzi Whites, 1980-1988, 184-191 G, Bortolus R, La Vecchia C. Paternal and Maternal Armstrong DL, Castorina J. Community Occupational Smoking Habits before Conception and During the First Structure, Basic Services, and Coronary Mortality in Trimester: Relation to Spontaneous Abortion, 520-526 Washington State, 1980-1994, 370-377 Chen C. see Wang X Chen J. see Sevick MA B Christiani DC. see Wang X Barnett E. see Armstrong D Chung C-K. see Lee K-S Bausserman LL. see Derby CA Clemens JD. see Klebanoff MA Bean JA. see Donahue RP Colditz GA. see Morris MC Benzi G. see Chatenoud L Cole P. see Acquavella J Berenson GS. see Greenlund K] Cole SR. see Schwartz SW Beresford SAA. see Alderman BW Conn LA. see Thomas C] Bergman R. see Howard G Cooper GS, Sandler DP. Age at Natural Menopause and Blazer DG. see Schwartz SW Mortality, 229-235 Bortolus R. see Chatenoud L Cooper RS. see Sempos CT Bracken MB. Alarums False, Alarums Real: Challenges and Cornoni-Huntley J. see Schwartz SW Threats to the Future of Epidemiology, 79-82 Corrao G, Torchio P, Zambon A, D’Amicis A, Lepore AR, © 1998 Elsevier Science Inc. All rights reserved. 655 Avenue of the Americas, New York, NY 10010 1047-2797/98/$-see front matter AEP Vol. 8, No. 8 AUTHOR INDEX 529 November 1998: 528-532 di Orio F, the Provincial Group for the Study of Chronic Elliott P. see Martuzzi M Liver Disease, 154-159 Ernst P. See Demissie K Craven TE. see Wagenknecht LE Evans DA. see Morris MC Croft JB. see Giles WH Cuddy TE. see Tate RB Cummings P. see Levine PH F Curb JD. see Burchfiel CM Fahey MT. see Tsugane S Curtis AB, Strogatz DS, James SA, Raghunathan TE. The Fang Z. see Wang X Contribution of Baseline Weight and Weight Gain to Fears TR. see Levine PH Blood Pressure Change in African Americans: The Pitt Feinleib M. see Prineas RJ County Study, 497-503 Feldman HA. see Derby CA Feldman HA, Johannes CB, McKinlay JB, Longcope C. Low Dehydroepiandrosterone Sulfate and Heart Disease D in Middle-Aged Men: Cross-Sectional Results from the D’ Agostino RB Jr. see Howard G Massachusetts Male Aging Study, 217-228 D’Amicis A. see Corrao G Finkle WD. see Greenland S Davis CE. see Markovitz JH FitzGerald PEB. see Knuiman MW De Zapien JG. see Guiliano A Flegal KM. Déja Vu All Over Again: The Re- Analysis of Deev A, Shestov D, Abernathy J, Kapustina A, Muhina N, Epidemiologic Data (editorial), 286-288 Irving S. Association of Alcohol Consumption to Mortal- Folsom AR. see Markovitz JH ity in Middle-Aged U.S. and Russian Men and Ford ES. see Giles WH Women, 147-153 Ford W. see Lopez J Demissie K, White N, Joseph L, Ernst P. Bayesian Estima- Friedman L, Proschan M. P-Value Interpretation and Alpha tion of Asthma Prevalence and Comparison of Exercise Allocation in Clinical Trials (editorial), 351-357 and Questionnaire Diagnostics in the Absence of a Gold Funkhouser E. see Rathmann W Standard, 201-208 Dennerstein L. see Shelley JM G Derby CA, Feldman HA, Bausserman LL, Parker DR, Gans KM, Carleton RA. HDL Cholesterol: Trends in Two Gans KM. see Derby CA Gerhardus A. see Razum O Southeastern New England Communities, 1981-1993, 84-91 Gey F. see Tsugane S DerSimonian R. see Klebanoff MA Gidding SS. see Greenlund KJ Giles WH, Kittner SJ, Croft JB, Anda RF, Casper ML, Ford Di Cintio E. see Chatenoud L ES. Serum Folate and Risk for Coronary Heart Disease: di Orio F. see Corrao G Dill SR. see Thomas C] Results from a Cohort of US Adults, 490-496 Gillespie RW. see Thomas C] Divitini ML. see Knuiman MW Donahue RAD. see Donahue RP Goff DC Jr. see Howard G Donahue RP, Prineas RJ, Bean JA, Donahue RAD, Gold- Goldberg RB. see Donahue RP berg RB, Skyler JS, Schneiderman N. The Relation of Goodman K. see Prineas RJ Gordon DJ. see Rifkind BM Fasting Insulin to Blood Pressure in a Multiethnic Popula- Gray-Donald K. see O’Loughlin J tion: The Miami Community Health Study, 236-244 Green A. see Shelley JM Dudley E. see Shelley JM Greenland S, Finkle WD. A Case-Control Study of Pros- Dukeshire S. see Raina P thetic Implants and Selected Chronic Diseases in Medi- Durazo-Arvizu R. see Sempos CT care Claims Data, 319-326 Dyer AR. see Archer SL; Rathmann W Greenlund KJ, Kiefe Cl, Gidding SS, Lewis CE, Srinivasan SR, Williams OD, Berenson GS. Differences in Cardio- E vascular Disease Risk Factors in Black and White Young Edwards SL, Slattery ML, Ma K-N. Measurement Errors Adults: Comparisons among Five Communities of the Stemming from Nonrespondents Present at In-Person In- CARDIA and the Bogalusa Heart Studies, 22—30 terviews, 272-277 Guiliano A, Papenfuss M, De Zapien JG, Tilousi S, Nuvayes- Eisenberg J. Agency for Health Care Policy and Re- tewa L. Prevalence of Chronic Disease Risk and Protec- search, 283-285 tive Behaviors among American Indian Women Living El-Saghir NS. see Adib SM on the Hopi Reservation, 160-167 530 AUTHOR INDEX AEP Vol. 8, No. 8 November 1998: 528-532 H Klatsky AL. Alcohol and Mortality: Does It Matter Where Haffner SM. see Howard G You Live? (editorial), 145-146 Haque AU. see Harrison RA Klebanoff MA, Levine RJ, DerSimonian R, Clemens JD, Harrison RA, Haque AU, Roseman JM, Soong S-j. Socio- Wilkins DG. Serum Caffeine and Paraxanthine as Mark- economic Characteristics and Melanoma Incidence, ers for Reported Caffeine Intake in Pregnancy, 107-111 327-333 Knuiman MW, Divitini ML, Buzas JS, FitzGerald PEB. Ad- Hays JC. see Schwartz SW justment for Regression Dilution in Epidemiological Re- Hilner JE. see Archer SL gression Analyses, 56-63 Holden L. see Acquavella J Kobayashi M. see Tsugane S Holt VL. see Alderman BW Koo J-W. see Lee K-S Hoover RN. see Levine PH Hopper J. see Shelley JM L Howard G, Bergman R, Wagenknecht LE, Haffner SM, La Vecchia C. see Chatenoud L Savage PJ, Saad MF, Laws A, D’Agostino RB Jr, Insulin Last J. see Prineas RJ Resistance Atherosclerosis Study (IRAS) Investigators, Laws A. see Howard G 358-369 Lee K-S, Park C-Y, Meng K-H, Bush A, Lee S-H, Lee W-C, Howard G, Goff DC Jr. A Call for Caution in the Interpreta- Koo J-W, Chung C-K. The Association of Cigarette tion of the Observed Smaller Relative Importance of Risk Smoking and Alcohol Consumption with Other Cardio- Factors in the Elderly (editorial), 411-414 vascular Risk Factors in Men from Seoul, Korea, 31-38 Hulley SB. see Wagenknecht LE Lee LY. see Thomas CJ Lee S-H. see Lee K-S Lee W-C. see Lee K-S I Lepore AR. see Corrao G Insulin Resistance Atherosclerosis Study (IRAS) Investiga- Levine DW. see Sevick MA tors. see Howard G Levine PH, Fears TR, Cummings P, Hoover RN. Cancer Ireland B. see Acquavella J and a Fatiguing Illness in Northern Nevada—A Causal Irving S. see Deev A Hypothesis, 245-249 Issa P. see Adib SM Levine RJ. see Klebanoff MA Lewis CE. see Greenlund KJ Lindsay J. see Raina P J Liu K. see Archer SL Jacobs DR Jr. see Archer SL Longcope C. see Feldman HA James MK. see Sevick MA Lopez J, Welvaart H, Ford W, Kerndt P. HIV Prevalence James SA. see Curtis AB and Risk Behaviors among Patients among Patients At- Jee SH, Appel LJ, Suh 1, Whelton PK, Kim IS. Prevalence tending Los Angeles County Tuberculosis Clinics: 1993- of Cardiovascular Disease Risk Factors in Black and 1996, 168-174 White Young Adults: Comparisons among Five Commu- nities of the CARDIA and the Bogalusa Heart Studies, 22-30 M Johannes CB. see Feldman HA Ma K-N. see Edwards SL Joseph L. See Demissie K Manfreda J. see Tate RB Manolio TA. see Wagenknecht LE Markovitz JH. Cardiovascular Risk Factors in Rapidly De- K veloping Countries (editorial), 1—2 Kahwaji SG. see Adib SM Martuzzi M, Elliott P. Estimating the Incidence Rate Ratio Kaneene J. see Acquavella J in Cross-Sectional Studies Using a Simple Alternative Kapustina A. see Deev A to Logistic Regression, 52—55 Kawalec E. see Markovitz JH May DS, Trontell AE. Mammography Use by Elderly Kay W. see Brittingham A Women: A Methodological Comparison of Two National Kerndt P. see Lopez J Data Sources, 439-444 Kiefe Cl. see Greenlund K] McGee DL. see Sempos CT Kim IS. see Jee SH McKinley JB. see Feldman HA Kittner SJ. see Giles WH Mendola P. see Wu T AEP Vol. 8, No. 8 AUTHOR INDEX 531 November 1998: 528-532 Meng K-H. see Lee K-S R Merz JF. IRB Review: Necessary, Nice, or Needles? (edito- Raghunathan TE. see Curtis AB rial), 479-481 Raina P, Dukeshire S, Lindsay ], Chambers LW. Chronic Meshefedjian G. see O’Loughlin J Conditicns and Disabilities Among Seniors: An Analysis Morris MC, Colditz GA, Evans DA. Response to a Mail of Population-Based Health and Activity Limitation Sur- Nutritional Survey in an Older Bi-Racial Community veys, 402-409 Population, 342-346 Rathmann W, Funkhouser E, Dyer AR, Roseman JM. Rela- Moss N. Response to Letter to the Editor (letter), 113 tions of Hyperuricemia with the Various Components of Moyé LA. P-Value Interpretation and Alpha Allocation in the Insulin Resistance Syndrome in Young Black and Clinical Trials (editorial), 351-357 White Adults: The CARDIA Study, 250-261 Muffarrij AA. see Adib SM Razum O, Zeeb H, Gerhardus A. Cardiovascular Mortality Muhina N. see Deev A of Turkish Nationals Residing in West Germany, 334-341 Renaud L. see O’Loughlin J Rifkind BM, Gordon DJ. Population Trends in HDL-Cho- N lesterol Levels (editorial), 83 Nobre FF. see Vasconcelos AGG Rocco MV. see Sevick MA Nuvayestewa L. See Guiliano A Rodriguez BL. see Burchfiel CM Roseman JM. see Harrison RA; Rathmann W Rushing JT. see Sevick MA O Ruth KJ. see Archer SL O’Loughlin J, Paradis G, Renaud L, Meshefedjian G, Gray- Rywik SL, Davis CE, Pajak A, Broda G, Folsom AR, Kawa- Donald K. Prevalence and Correlates of Overweight lec E, Williams OD. Poland and U.S. Collaborative Study among Elementary Schoolchildren in Multiethnic, Low on Cardiovascular Epidemiology Hypertension in the Income, Inner-City Neighbourhoods in Montreal, Can- Community: Prevalence, Awareness, Treatment, and ada, 422-432 Control of Hypertension in the Pol MONICA Project O’Loughlin J, Renaud L, Paradis G, Meshefedjian G, Zhou and the U.S. Atherosclerosis Risk in Communities X. Prevalence and Correlates of Early Smoking among Study, 3-13 Elementary Schoolchildren in Multiethnic, Low-Income, Inner-City Neighborhoods, 308-318 Olsen G. see Acquavella J S Saad MF. see Howard G Sandler DP. see Cooper GS P Sasaki S. see Tsugane S Pajak A. see Markovitz JH Satariano WA, Smith J, Swanson A, Tager IB. A Census- Papenfuss M. See Guiliano A Based Design for the Recruitment of a Community Sam- Pappas PG. see Thomas C] ple of Older Adults: Efficacy and Costs, 278-282 Paradis G. see O’Loughlin J Savage PJ. see Archer SL; Howard G Parazzini F. see Chatenoud L Schatz IJ. see Burchfiel CM Park C-Y. see Lee K-S Schocken DD. see Schwartz SW Parker DR. see Derby CA Schuman S. see Acquavella J Pierce JJ. see Sevick MA Schwartz SW, Cornoni-Huntley J, Cole SR, Hays JC, Blazer Pinner RW. see Thomas C] DG, Schocken DD. Are Sleep Complaints an Indepen- Preisser JS. see Wagenknecht LE dent Risk Factor for Myocardial Infarction’, 384-392 Prewitt TE. see Sempos CT Sempos CT, Durazo-Arvizu R, McGee DL, Cooper RS, Prineas RJ. see Donahue RP Prewitt TE. The Influence of Cigarette Smoking on the Prineas RJ, Goodman K, Soskolne CL, Buck G, Feinleib Association between Body Weight and Mortality. The M, Last J, Andrews JS Jr, for the American College of Framingham Heart Study Revisited, 289-300 Epidemiology Ethics and Standards of Practice Commit- Sevick MA, Tell GS, Shumaker SA, Rocco MV, Burkart tee. Findings from the American College of Epidemiolo- JM, Rushing JT, Levine DW, Chen J, Bradham DD, gy’s Survey on Ethics Guidelines, 482-489 Pierce JJ, James MK. The Kidney Outcomes Prediction Proschan M. see Friedman L and Evaluation (KOPE) Study: A Prospective Cohort Provincial Group for the Study of Chronic Liver Disease. Investigation of Patients Undergoing Hemodialysis: see Corrao G Study Design and Baseline Characteristics, 192-200 532 AUTHOR INDEX AEP Vol. 8, No. 8 November 1998: 528-532 Shamseddine AI. see Adib SM Analysis Approach for the Multivariate Analysis of Infant Sharp DS. see Burchfiel CM Mortality Data, 262-271 Sheikh K. Late Response vs. Non-Response to Mail Ques- tionnaire (letter), 75-76 W Shelley JM, Green A, Smith AMA, Dudley E, Dennerstein Wagenknecht LE. see Howard G L, Hopper J, Burger H. Relationship of Endogenous Sex Wagenknecht LE, Craven TE, Preisser JS, Manolio TA, Hormones to Lipids and Blood Pressure in Mid-Aged Winders S, Hulley SB. Ten-Year Trends in Cigarette Women, 39-45 Smoking among Young Adults, 1986-1996: The Shestov D. see Deev A CARDIA Study, 301-307 Shumaker SA. see Sevick MA Wang B. see Wang X Skyler JS. see Donahue RP Wang X, Wang B, Zhang F, Chen C, Yang J, Fang Z, Zhang Slattery ML. see Edwards SL X, Christiani DC, Weiss ST, Zuckerman B, Xu X. Blood Smith AMA. see Shelley JM Pressure at Age 3—24 Years in a Rural Community in Smith J. see Satariano WA Anhui, China, 504-512 Soskolne CL. see Prineas RJ Watts DH. see Alderman BW Srinivasan SR. see Greenlund KJ Weiss ST. see Wang X Strogatz DS. see Curtis AB Welvaart H. see Lopez J Suh I. see Jee SH Whelton PK. see Jee SH White N. See Demissie K Swanson A. see Satariano WA Wilkins DG. see Klebanoff MA Williams OD. see Greenlund KJ; Markovitz JH Winders S. see Wagenknecht LE T Wing S. see Armstrong D Tager IB. see Satariano WA Wu T, Buck G, Mendola P. Can Regular Multivitamin/ Tate RB, Manfreda J, Cuddy TE. The Effect of Age on Risk Mineral Supplementation Modify the Relation between Factors for Ischemic Heart Disease: The Manitoba Fol- Maternal Smoking and Select Adverse Birth Out- low-Up Study, 1948-1993, 415-421 comes?, 175-183 Tell GS. see Sevick MA Thomas CJ, Lee JY, Conn LA, Bradley ME, Gillespie RW, Dill SR, Pinner RW, Pappas PG. Surveillance of Crypto- X Xu X. see Wang X coccosis in Alabama, 1992-1994, 212-216 Tilousi S. See Guiliano A Torchio P. see Corrao G Y Tourangeau R. see Brittingham A Yang J. see Wang X Trontell AE. see May DS Yano K. see Burchfiel CM Tsubono Y. see Tsugane S Tsugane S, Fahey MT, Kobayashi M, Sasaki S, Tsubono Y, Z Akabane M, Gey F. Four Food-Frequency Categories of Zambon A. see Corrao G Fruit Intake as a Predictor of Plasma Ascorbic Acid Level Zanconato G. see Chatenoud L in Middle-Aged Japanese Men, 378-383 Zeeb H. see Razum O Zhang F. see Wang X Zhang X. see Wang X V Zhao H. see Alderman BW Van Horn L. see Archer SL Zhou X. see O’Loughlin J Vasconcelos AGG, Almeida RMV, Nobre FF. The Path Zuckerman B. see Wang X e reacha » ELSEVIER Subject Index A Ascorbic acid Abortion predictors, 378-383 spontaneous Asian Americans smoking effects, 520-526 insulin and lipids, 92-98 Abstracts Asthma ACE Plenary, 114-144, 445-478 exercise testing, 201—208 Acquired immunodeficiency syndrome Atherosclerosis cryptococcosis, 212-216 ARIC study, 3-13 Adjusted odds ratio Atherosclerosis Risk in Communities (ARIC) Study smoking and alcohol effects, 31-38 results, 3-13 Adolescents Autonomic nervous system diseases blood pressure, 504—512 effects, 99-106 inner-city children, 308-318 obesity, 422-432 B African-Americans Bayesian insulin and blood pressure, 236-244 exercise testing with asthma, 201-208 nutrition survey, 342-346 Behavior smoking trends, 301-307 maternal physical activity and infant size, 513-519 weight gain effects on blood pressure, 497-503 Biological markers | Agency for Health Care Policy and Research (AHCPR) caffeine, 107-111 mission, 283-285 Birth weight Aging maternal physical activity and infant size, 513-519 community studies, 278-282 vitamin/mineral use and smoking effects, 175-183 effects, 99-106, 217-228, 229-235, 415-421 Blacks. See African-Americans nutrition survey, 342-346 Blood pressure Agriculture community-based study, 504-512 cancer incidence, 64—74 ethnicity, 236-244 AIDS smoking and alcohol effects, 31-38 cryptococcosis, 212-216 weight gain effects, 497-503 Alcohol Body mass index (BMI) effects, 31-38, 147-153, 154-159 effects, 99-106 effects (editorial), 145-146 effects on blood pressure, 497-503 Alpha allocation obesity in children, 422-432 clinical trials, 351-357 smoking and alcohol effects, 31-38 clinical trials (editorial), 349-350 Body weight American Indians obesity in children, 422-432 women’s health, 160-167 Busselton Study Androgens epidemiological regression analyses, 56—63 effects, 217-228 Anthropometry obesity in children, 422—432 C Applied ethics Caffeine epidemiology, 482-489 effects during pregnancy, 107-111 ARIC study Canada results, 3—13 obesity in children, 422-432 © 1998 Elsevier Science Inc. All rights reserved. 655 Avenue of the Americas, New York, NY 10010 1047-2797/98/$—see front matter 534 SUBJECT INDEX AEP Vol. 8, No. 8 November 1998: 533-538 Cancer occupational structure, 184-191, 370-377 effects, 229-235 prevention, 217—228 farmers, 64—74 risk factors, 384-392, 490-496 Lebanon, 46-51 Correlates Cardiovascular disease smoking among inner-city children, 308-318 epidemiological regression analyses, 56-63 Cross-sectional studies minorities, 334—341 ascorbic acid predictors, 378-383 prevention, 217-228 incidence ratio estimation, 52—55 regional variation, 22—30 insulin, blood pressure, and ethnicity, 236-244 risk factors, 14-21, 22-30, 217-228, 229-235, 250- obesity in children, 422-432 261, 358-369 smoking among inner-city children, 308-318 risk factors (editorial), 1-2, 411-414 Cryptococcosis Case-control studies Alabama, 212-216 liver cirrhosis risk factors, 154-159 Alabama (editorial), 209 third-party effects, 272-277 incidence, 212-216 Children Cryptococcus neoformans incidence, 212-216 blood pressure, 504—512 obesity, 422-432 smoking among inner-city children, 308-318 D Cholesterol Data collection methods effects of sucrose, 433-438 third-party effects, 272-277 insulin and Asian Americans, 92—98 Death population trends, 84-91 obesity and smoking, 289-300 population trends (editorial), 83 Dehydroepiandrosterone smoking and alcohol effects, 31-38 effects, 217-228 Chronic conditions Diet senior surveys, 402—409 ascorbic acid predictors, 378-383 Chronic fatigue syndrome effects, 154-159 predisposition to cancer, 245-249 Disability Chronic renal failure senior surveys, 402—409 prediction and evaluation, 192—200 Disease risk factors Clinical trials American Indian women, 160-167 alpha allocation, 351-357 P-value interpretation and alpha allocation (editorial), E 349-350 Codes of ethics Education epidemiology, 482-489 effects on melanoma, 327-333 Cohort studies Elderly alternate measures of insulin sensitivity, 358-369 cardiovascular disease risk factors (editorial), 411-414 epidemiological regression analyses, 56—63 Health and Activity Limitation Survey, 402-409 Community health Epidemic neuromyasthenia coronary heart disease, 184-191, 370-377 predisposition to cancer, 245-249 Community studies Epidemiology census-based design, 278-282 coronary heart disease risk factors, 490-496 HDL levels, 84-91 cryptococcosis, 212-216 Confidentiality descriptive, 46—51 epidemiology, 79-82 ethics, 482-489 Confounding factors future challenges, 79-82 myocardial infarction, 384-392 re-analyses of data (editorial), 286-288 Connective-tissue disease smoking trends, 301—307 prosthetic nonbreast implants, 319-326 Ethics guidelines Cooking method epidemiology, 482—489 effects, 378-383 Evaluation studies Coronary heart disease mammography estimates in elderly women, 439-444 AEP Vol. 8, No. 8 SUBJECT INDEX 535 November 1998: 533-538 Exercise testing prediction and evaluation, 192—200 asthma, 201-208 Hispanic-Americans Exertion insulin and blood pressure, 236-244 maternal physical activity and infant size, 513-519 HIV Experimental discordance risk factors, 168—174 clinical trials, 351-357 HIV seroprevalence tuberculosis, 168-174 Hypertension F awareness, 3—13 Farming prevalence, 3-13, 14-21 cancer incidence, 64—74 risk factors, 14-21 Fasting blood sugar (FBS) treatment, 3—13 smoking and alcohol effects, 31-38 weight gain effects, 497-503 Folic acid Hyperuricemia coronary heart disease, 490-496 association with insulin resistance syndrome, 250-261 Forced expiratory volume mortality prediction, 99-106 Framingham Heart Study I obesity and smoking, 289-300 Idiopathic progressive neuropathy Fruit prosthetic nonbreast implants, 319-326 ascorbic acid predictors, 378-383 Implants Fungus effects, 319-326 cryptococcosis, 212-216 Incidence ratio Future challenges cross-sectional studies, 52—55 epidemiology, 79-82 Income effects on melanoma, 327-333 Insomnia G effects, 384-392 Gender Institutional Review Boards (IRBs) alcohol effects on mortality, 147-153 review (editorial), 479-481 Germany Insulin cardiovascular disease, 334-341 ethnicity, 236-244 Gestational age lipids in Asian Americans, 92—98 maternal physical activity and infant size, 513-519 Insulin resistance Gibbs sampler alternate measures, 358-369 exercise testing with asthma, 201-208 Insulin resistance syndrome hyperuricemia effects, 250-261 Interaction H effects, 154-159 HDL Intervening variables effects of sucrose, 433-438 infant mortality modeling, 262-271 insulin and Asian Americans, 92—98 Interview methods population trends, 84—91 third-party effects, 272-277 population trends (editorial), 83 Intraclass correlation smoking and alcohol effects, 31-38 epidemiological regression analyses, 56—63 Health and Activity Limitation Survey Iron elderly, 402-409 effects, 154-159 Health behaviors Ischemic heart disease American Indian women, 160—167 prevention, 217-228 Health determinants modeling risk factors, 415-421 infant mortality, 262—271 Health surveys mammography estimates in elderly women, 439-444 L smoking among inner-city children, 308-318 LDL Hemodialysis smoking and alcohol effects, 31-38 536 SUBJECT INDEX AEP Vol. 8, No. 8 November 1998: 533-538 Lebanon Miscarriage tumor registry, 46—51 smoking effects, 520-526 Lipids Morbidity sex hormones effects, 39—45 kidney outcomes prediction and evaluation, 192—200 Lipoproteins Mortality insulin and Asian Americans, 92—98 alcohol, 147-153 Litigation alcohol (editorial), 145-146 epidemiology, 79-82 cardiovascular disease, 334-341 Liver cirrhosis kidney outcomes prediction and evaluation, 192-200 risk factors, 154-159 menopause, 229-235 Longitudinal studies obesity and smoking, 289-300 ischemic heart disease risk factors and aging, 415-421 risk factors, 99-106 Low birth weight Multivariate methods infant mortality modeling, 262-271 vitamin/mineral use and smoking effects, 175-183 Multivitamins effects, 175-183 Myocardial infarction M risk factors, 384—392 Mail survey aged population, 342-346 Mammography N estimates in elderly women, 439-444 Natural killer cells Managed care role in chronic fatigue syndrome, 245-249 epidemiology, 79-82 Non-Hodgkin lymphoma Markers chronic fatigue syndrome effects, 245-249 caffeine, 107-111 Nutrition assessment Maternal smoking aged population, 342-346 effects, 175-183 Nutrition survey Measurement error aged population, 342-346 epidemiological regression analyses, 56-63 Measurements O insulin sensitivity, 358-369 Obesity Medicare children, 422—432 mammography estimates in elderly women, 439-444 effects, 250-261 Melanoma insulin and Asian Americans, 92—98 socioeconomic effects, 327-333 smoking effects, 289-300 Men Obstructive lung diseases alcohol effects on mortality, 147-153 effects, 99-106 ischemic heart disease risk factors and aging, 415-421 Odds ratio Meningitis cross-sectional studies, 52—55 cryptococcosis, 212—216 Menopause effects, 229-235 P Meta-analysis Path analysis cancer among farmers, 64—74 infant mortality modeling, 262-271 Metropolitan Relative Weight Pesticides obesity and smoking, 289-300 cancer among farmers, 64—74 Micronutrients Pol-MONICA Project effects, 154-159 results, 3-13 Migrants Population trends cardiovascular disease, 334—341 HDL levels, 84-91 Minorities HDL levels (editorial), 83 cardiovascular disease, 334-341 Predictive values coronary heart disease, 184-191 exercise testing with asthma, 201—208 AEP Vol. 8, No. 8 SUBJECT INDEX November 1998: 533-538 Pregnancy Riboflavin caffeine, 107-111 effects, 154-159 maternal physical activity and infant size, 513-519 Risk factors Premature ovarian failure cardiovascular disease, 217—228, 229-235, 250-261, effects, 229-235 358-369 Preterm birth developing countries (editorial), 1-2 vitamin/mineral use and smoking effects, 175-183 elderly (editorial), 411-414 Prevalence race, 22-30 obesity in children, 422-432 South Korea, 14-21 | smoking among inner-city children, 308-318 coronary heart disease, 384-392, 490-496 Prevalence odds disease in American Indian women, 160-167 cross-sectional studies, 52—55 HIV, 168-174 Professional ethics hypertension, 14-21 epidemiology, 482-489 ischemic heart disease and aging, 415-421 Professional standards liver cirrhosis, 154-159 epidemiology, 482-489 miscarriage, 520-526 Public health surveillance mortality, 99-106 HIV seroprevalence, 168-174 myocardial infarction, 384-392 P-values obesity in children, 422-432 clinical trials (editorial), 349-350 Russia alcohol effects on mortality, 147-153 Q QT interval S increased Secular trends effects, 99-106 HDL levels, 84—91 Quality of life Sensitivity kidney outcomes prediction and evaluation, 192—200 exercise testing with asthma, 201-208 Questionnaires Serum caffeine during pregnancy, 107-111 exercise testing with asthma, 201—208 third-party effects, 272-277 Sex hormones effects on lipids and blood pressure, 39—45 Silicone R effects, 319-326 Race Sleep complaints cardiovascular disease risk factors, 22—30 effects, 384-392 Re-analyses Small-for-gestational-age epidemiologic data (editorial), 286-288 vitamin/mineral use and smoking effects, 175-183 Regression analysis Smoking cross-sectional studies, 52—55 effects, 31-38, 175-183, 378-383 obesity in children, 422-432 inner-city children, 308-318 Regression dilution maternal, 520-526 epidemiological regression analyses, 56-63 screening reports, 393-401 Regression model trends, 301—307 blood pressure, 504-512 Socioeconomic status Regression modeling effects on melanoma, 327—333 socioeconomic characteristics and melanoma inci- Specificity dence, 327-333 exercise testing with asthma, 201-208 Reliability coefficient Sucrose epidemiological regression analyses, 56—63 effects on HDL, 433-438 Renal replacement therapy Supplements prediction and evaluation, 192—200 effects, 175-183 Reporting errors Surveillance smoking, 393-401 cryptococcosis, 212-216