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Research ArticleOriginal Research

Effects of Labeling Patients as Prehypertensive

Anthony J. Viera, Kara Lingley and Denise Esserman
The Journal of the American Board of Family Medicine September 2010, 23 (5) 571-583; DOI: https://doi.org/10.3122/jabfm.2010.05.100047
Anthony J. Viera
MD, MPH
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Kara Lingley
BSPH
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Denise Esserman
PhD
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  • Article
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    Figure 1.

    Participant flow-through study. BP, blood pressure.

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    Table 1.

    Characteristics of Enrolled Participants

    Overall (n) (n = 97)No Label Group (n [%]) (n = 47)Label Group (n [%]) (n = 50)P
    Age category (years).27
        24–394921 (45)28 (56)
        ≥404826 (55)22 (44)
    Female sex4320 (43)23 (46).73
    Race.26
        White3618 (38)18 (36)
        Black4922 (47)27 (54)
        Other127 (16)5 (10)
    Hispanic ethnicity107 (15)3 (6).15
    Education level.42
        <High school117 (15)4 (8)
        High school graduate96 (13)3 (6)
        Some college3315 (32)18 (36)
        College graduate4419 (40)25 (50)
    Self-reported health.19
        Excellent195 (11)14 (28)
        Very good4123 (49)18 (36)
        Good3317 (36)16 (32)
        Fair42 (4)2 (4)
        Poor000
    Married or living with partner4824 (51)24 (48).84
    Current smoker2813 (28)15 (30).80
    Medical problems*
        Anxiety97 (15)2 (4).09
        Asthma81 (2)7 (14).06
        Arthritis or chronic pain95 (11)4 (8).74
        Cancer11 (2)0 (0).49
        Depression168 (17)8 (16)1.0
        Heartburn72 (4)5 (10).44
        High cholesterol116 (13)5 (10).76
        Migraines62 (4)4 (8).68
        Thyroid disorder31 (2)2 (4)1.0
        None of the above2311 (23)12 (24)1.0
    Average systolic BP (mm Hg)129.0128.6129.4.57†
    Average diastolic BP (mm Hg)81.981.782.1.75†
    • BP, blood pressure.

    • * P for differences in medical problems by Fisher's exact test; all others by χ2 test unless otherwise noted.

    • † P calculated by t test.

    • View popup
    Table 2.

    Characteristics of Nonrespondents and Respondents

    Nonrespondents (n = 27)Respondents (n = 70)P
    Age category (years).54
        24–3915 (56)34 (49)
        ≥4012 (44)36 (51)
    Female sex9 (33)34 (49).18
    Race
        White4 (15)32 (46).002
        Black16 (59)33 (47)
        Other7 (26)3 (4)
    Hispanic ethnicity7 (26)3 (4).002
    Education level.03
        <High school7 (26)4 (6)
        High school graduate3 (11)6 (9)
        Some college9 (33)24 (34)
        College graduate8 (30)36 (51)
    Self-reported health.46
        Excellent3 (11)16 (23)
        Very good11 (41)30 (43)
        Good12 (44)21 (30)
        Fair1 (4)3 (4)
        Poor00
    Married or living with partner11 (41)37 (53).25
    Current smoker14 (52)14 (20).002
    Medical problems*
        Anxiety2 (7)7 (10)1.0
        Asthma2 (7)6 (9)1.0
        Arthritis or chronic pain1 (4)8 (11).44
        Cancer01 (1)1.0
        Depression5 (19)11 (16).77
        Heartburn2 (7)5 (7)1.0
        High cholesterol1 (4)10 (14).28
        Migraines06 (9).18
        Thyroid disorder03 (4).56
        None of the above9 (33)14 (20).19
    Average systolic BP (mm Hg)129.2128.9.84†
    Average diastolic BP (mm Hg)82.881.6.36†
    • Values provided as n (%). BP, blood pressure.

    • * P for differences in medical problems by Fisher's exact test; all others by χ2 test unless otherwise noted.

    • † P calculated by t test.

    • View popup
    Table 3.

    Reported Health at 3 Months

    All respondents (n = 70)No label group (n = 32)Label group (n = 38)P*
    Compared to baseline.78
        Better29 (41.4)13 (40.6)16 (42.1)
        Same40 (57.1)18 (56.3)22 (57.9)
        Worse1 (1.4)1 (3.1)0
    Overall self-reported health.30
        Excellent14 (20.0)4 (12.5)10 (26.3)
        Very good28 (40.0)14 (43.8)14 (36.8)
        Good22 (31.4)11 (34.4)11 (29.0)
        Fair6 (8.6)3 (9.4)3 (7.9)
        Poor000
    • All values provided as n (%).

    • * P calculated by Wilcoxon-Mann-Whitney test.

    • View popup
    Table 4.

    Reported Health Behaviors at 3 Months

    All Respondents (%)No Label Group (%)Label Group (%)Risk Ratio95% CI
    Changing eating habits*83.881.386.11.060.86–1.31
    Cutting down on salt90.090.689.50.990.84–1.15
    Reducing alcohol intake†65.959.172.71.230.80–1.90
    Exercising78.671.984.21.170.91–1.51
    • * Based on 68 respondents because 2 respondents indicated “not sure.”

    • † Among the 44 respondents who drank alcohol.

    • View popup
    Appendix 3.

    Sample Size Calculations

    ScenarioGroupProportionsπ*nn1 = n2
    Much WorseSomewhat WorseAbout the SameSomewhat BetterMuch Better
    1No Label000.70.250.050.675829
    Label0.10.10.70.10
    2No Label00.050.80.10.050.665628
    Label0.10.150.70.050
    3No Label000.90.100.645226
    Label0.10.10.800
    • * Pr(no label > label) + 0.5 × Pr(no label = label) = competing probability that a nonlabeled individual has a better outcome than a labeled individual.

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The Journal of the American Board of Family Medicine: 23 (5)
The Journal of the American Board of Family Medicine
Vol. 23, Issue 5
September-October 2010
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Effects of Labeling Patients as Prehypertensive
Anthony J. Viera, Kara Lingley, Denise Esserman
The Journal of the American Board of Family Medicine Sep 2010, 23 (5) 571-583; DOI: 10.3122/jabfm.2010.05.100047

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Effects of Labeling Patients as Prehypertensive
Anthony J. Viera, Kara Lingley, Denise Esserman
The Journal of the American Board of Family Medicine Sep 2010, 23 (5) 571-583; DOI: 10.3122/jabfm.2010.05.100047
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