EVALUATION OF SELECTION BIAS IN A CROSS-SECTIONAL SURVEY

被引:17
|
作者
SELIKOFF, IJ [1 ]
SEIDMAN, H [1 ]
机构
[1] AMER CANC SOC,ATLANTA,GA
关键词
OCCUPATIONAL COHORTS; SELECTION BIAS; ASBESTOS WORKERS;
D O I
10.1002/ajim.4700200505
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Selection bias is inherent in all occupational cohorts. Selection bias at entry has long been known and is commonly referred to as a "healthy worker effect." Less well appreciated is selection during the life of a cohort resulting from life-style factors (e.g., cigarette smoking); aging with accompanying chronic diseases, economic and demographic circumstances; and diseases that might result from exposures suffered by the cohort being studied, that influence whether individuals remain in a trade. These factors weigh differently at different times. Thus, at any point in time, "surviving" members of a cohort reflect an amalgam of selection factors. When such groups are studied in cross-sectional surveys there can be uncertainty whether clinical, radiological and physiological findings are necessarily representative for the trade or occupation as a whole. We analyzed the results of a large clinical field survey of long-term asbestos insulation workers to investigate whether the non-participants differed substantially from those who were examined. Five thousand three hundred and fifty-five (5,355) men, of an initial cohort of 17,800 established January 1, 1967, had reached 30 or more years from onset of their work by July 1, 1981. All were invited to come for examination. Two thousand and seventy-seven (2,077) came, and 3,278 did not. We questioned a sample of 1,393 non-responders to see why they failed to appear. The answers did not give evidence of significant health-related selection influence. Sickness only infrequently kept them away. We then followed both groups-those examined and those not examined-to the end of 1987 for their mortality experience. There was no great difference. The non-responders had somewhat fewer deaths overall and proportionately fewer of asbestos-associated cancers, such as mesothelioma and lung cancer. The results indicated that, in this cohort, there did not seem to be health-related selection bias that determined whether or not cohort members responded to invitations for examinations.
引用
收藏
页码:615 / 627
页数:13
相关论文
共 50 条
  • [21] Sociodemographic differences in motives for food selection: results from the LoCard cross-sectional survey
    Konttinen, Hanna
    Halmesvaara, Otto
    Fogelholm, Mikael
    Saarijarvi, Hannu
    Nevalainen, Jaakko
    Erkkola, Maijaliisa
    INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2021, 18 (01)
  • [22] A Sensitivity Analysis for Temporal Bias in Cross-Sectional Mediation
    Georgeson, A. R.
    Alvarez-Bartolo, Diana
    Mackinnon, David P.
    PSYCHOLOGICAL METHODS, 2023,
  • [23] Of Nickell Bias, Cross-Sectional Dependence, and Their Cures: Reply
    Gaibulloev, Khusrav
    Sandler, Todd
    Sul, Donggyu
    POLITICAL ANALYSIS, 2014, 22 (02) : 279 - 280
  • [24] Cross-Sectional Impact Analysis: Bias from Dropouts
    Tedeschi, Gwendolyn Alexander
    Karlan, Dean
    PERSPECTIVES ON GLOBAL DEVELOPMENT AND TECHNOLOGY, 2010, 9 (3-4) : 270 - 291
  • [25] Market framing bias and cross-sectional stock returns
    Xie, Jun
    Zhang, Baohua
    Gao, Bin
    PLOS ONE, 2023, 18 (08):
  • [26] Evaluation of the IMPACCT Rapid Program: A Cross-Sectional Survey of International Site Investigators
    Hunt, Jane
    Brown, Linda
    Fazekas, Belinda
    Doogue, Matt
    Rowett, Debra
    Luckett, Tim
    Morgan, Deidre
    Reed-Cox, Kate
    Sheehan, Caitlin
    Tuffin, Penny
    Currow, David C.
    JOURNAL OF PALLIATIVE MEDICINE, 2020, 23 (10) : 1292 - 1293
  • [27] The Japan hospice and palliative evaluation study 4: a cross-sectional questionnaire survey
    Masukawa, Kento
    Aoyama, Maho
    Morita, Tatsuya
    Kizawa, Yoshiyuki
    Tsuneto, Satoru
    Shima, Yasuo
    Miyashita, Mitsunori
    BMC PALLIATIVE CARE, 2018, 17
  • [28] The Japan hospice and palliative evaluation study 4: a cross-sectional questionnaire survey
    Kento Masukawa
    Maho Aoyama
    Tatsuya Morita
    Yoshiyuki Kizawa
    Satoru Tsuneto
    Yasuo Shima
    Mitsunori Miyashita
    BMC Palliative Care, 17
  • [29] Evaluation of an Online System for Routine Outcome Monitoring: Cross-sectional Survey Study
    Wiebe, Deanna E.
    Remers, Shannon
    Nippak, Pria
    Meyer, Julien
    JMIR MENTAL HEALTH, 2021, 8 (12):
  • [30] An evaluation of implementation climate in inpatient maternity care: a cross-sectional survey study
    Hamm, Rebecca F. F.
    Levine, Lisa D. D.
    Quigley, Elizabeth
    Beidas, Rinad S. S.
    JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE, 2023, 36 (01):