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Research ArticleOriginal Article

The Prevalence, Predictors, and Consequences of Peripheral Sensory Neuropathy in Older Patients

James W. Mold, Sara K. Vesely, Barbara A. Keyl, Joan B. Schenk and Michelle Roberts
The Journal of the American Board of Family Practice September 2004, 17 (5) 309-318; DOI: https://doi.org/10.3122/jabfm.17.5.309
James W. Mold
MD, MPH
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Sara K. Vesely
PhD
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Barbara A. Keyl
RN
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Joan B. Schenk
RN
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Michelle Roberts
BA
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Article Figures & Data

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    Table 1.

    Characteristics of Participants with Peripheral Neuropathy (PN) (N = 795)

    VariablesNPNP
    Age795.0001
        65 to 7449426%
        75 to 8426236%
        ≥853954%
    Body Mass Index:.0017
        >3026438%
        <3053127%
    Gender795.2053
        Female45329%
        Male34233%
    Race/Ethnicity795.6965
        White68331%
        African American6828%
        Native American3241%
        Hispanic1030%
        Asian/Pacific Islander20%
    Education793.0387
        <High School12037%
        High School45027%
        >High School22335%
    Income763.0061
        <$15,000 per year13841%
        $15,000 to $35,000 per year33832%
        >$35,00028725%
    History of Military Service787.0316
        Yes26336%
        No52428%
    Current use of alcohol795.6150
        None59532%
        1 to 5 drinks per week14029%
        6 to 10 drinks per week3429%
        ≥11 drinks per week2020%
    Current use of tobacco795.4079
        Yes8035%
        No71530%
    PN Diseases
        Diabetes<.0001
            Yes13347%
            No66228%
        B12 deficiency.0285
            Yes4146%
            No75430%
        Autoimmune disease.0026
            Yes5050%
            No74530%
        Chronic Hepatitis B or C.7456
            Yes1136%
            No78431%
        Hereditary neuropathy.1751
            Yes560%
            No79031%
        Crohn disease1.00
            Yes729%
            No78831%
    Other Medical Conditions
        Osteoarthritis.8311
            Yes15832%
            No63731%
        Hypertension.1228
            Yes36228%
            No43333%
        Hypercholesterolemia.1902
            Yes28528%
            No51022%
        Thyroid Problem.4246
            Yes12228%
            No67331%
    • View popup
    Table 2.

    Prevalence of Peripheral Neuropathy (PN) by Age Group and Presence of a Disease Known to Cause PN

    Age GroupPatients with PN (n = 246)All
    No PN DiseasePN Disease*
    65 to 7419.3 (69/357)43 % (61/143)26 % (130/494)
    75 to 8431 % (61/194)50 % (34/68)36 % (95/262)
    ≥8558 % (18/31)38 % (3/8)54 % (21/39)
    ≥65 (All)26 % (148/576)45 % (98/219)31 % (246/795)
    • PN disease, self-reported history of diabetes mellitus, vitamin B12 deficiency, chronic hepatitis, Crohn disease, systemic lupus, scleroderma, rheumatoid arthritis, hereditary neuropathy, neurofibromatosis, or sarcoidosis. Association (χ2) between PN and PN disease (P < .0001). Association (Fisher’s exact test) between age group and PN; for those without PN disease, P < .0001; for those with PN disease, P = .5918.

    • View popup
    Table 3.

    Distribution of Neurologic Deficits in Participants with Peripheral Neuropathy (N = 246)

    Deficit(s)% (Number with Deficits)
    1 deficit71 (175)
        Ankle reflex only59 (145)
        Position only1 (3)
        Touch only9 (22)
        Vibration only2 (5)
    2 deficits22 (53)
        Ankle and position1 (3)
        Ankle and touch11 (28)
        Ankle and vibration4 (10)
        Position and touch2 (6)
        Touch and vibration2 (6)
    3 deficits7 (16)
        Ankle, position, & touch0.4 (1)
        Ankle, position, & vibration1 (2)
        Ankle, touch, & vibration5 (12)
        Position, touch, and vibration0.4 (1)
    4 deficits1 (2)
        Touch (small fibers) involved32 (78)
        Position involved7 (18)
        Vibration involved15 (38)
        Ankle reflex involved78 (191)
    • View popup
    Table 4.

    Factors Associated with Peripheral Neuropathy after Controlling for All Other Variables in a Logistic Regression Model

    VariablesOdds Ratio95% Confidence Interval
    Age1.08/year1.05 to 1.11
    Body mass index1.06/unit1.03 to 1.10
    Military service1.801.24 to 2.62
    Rheumatoid arthritis2.921.49 to 5.73
    Vitamin B12 deficiency2.371.16 to 4.84
    Hypertension0.630.44 to 0.89
    Diabetes mellitus2.711.67 to 4.39If income <$15,000/yr
    1.180.87If income $15,000–$35,000/yr
    1.771.40 to 2.25If income >$35,000/yr
    • Note: Hosmer-Lemeshow Goodness of Fit test had χ2 of 5.5152, P = .7014 (8 df).

    • View popup
    Table 5.

    Associations between 1 or More and 2 or More Bilateral Peripheral Neurologic Deficits and Various Outcomes after Adjusting for Age, Gender, Race, Education, Income, Body Mass Index, and Presence of Disease Known to Cause Peripheral Neuropathy

    Outcome Variables1 + Deficit2 + Deficits
    Symptoms
        Numbness arms/legs1.44 (0.97, 2.14)2.74 (1.56, 4.79)*
        Pain or discomfort1.68 (1.19, 2.37)*1.80 (1.03, 3.16)*
        Restless legs1.40 (0.96, 2.04)2.15 (1.23, 3.74)*
        Trouble walking1.50 (1.04, 2.17)*2.62 (1.47, 4.67)*
        Trouble with balance1.64 (1.11, 2.43)*2.65 (1.50, 4.70)*
        Falls in last 3 months
            One fall1.22 (0.80, 1.84)1.07 (0.56, 2.03)
            ≥2 falls1.53 (0.83, 2.81)1.17 (0.46, 2.97)
    Objective Findings
        Tinetti Balance Score (0 to 16)−1.12 (−1.54, −0.70)*−1.58 (−2.26, −0.91)*
        Timed 50−ft walk (seconds)−0.12 (−1.15, 0.91)−0.08 (−1.73, 1.56)
    QOL/Functional Status
        Self rated health (0 to 100)−0.82 (−3.53, 1.89)−2.55 (−6.87, 1.77)
        SF-36 General Health (0 to 100)−2.42 (−5.47, 2.63)−6.65 (−11.48, −1.83)*
        SF-36 Physical Functioning(0 to 100)−7.06 (−11.01, −3.10)*−10.54 (−16.89, −4.18)*
        SF-36 Role Physical (0 to 100)−5.09 (−11.73, 1.55)−8.16 (−18.76, 2.44)
        SF-36 Bodily Pain (0 to 100)−3.36 (−7.22, 0.49)−5.96 (−12.09, 0.17)
        QWB-SA (0 to 1)−0.027 (−0.047, −0.006)*−0.028 (−0.61, 0.004)
        HUI-3 (0 to 1)−0.039 (−0.074, −0.004)*−0.046 (−0.102, 0.010)
    • Odds ratios and 95% confidence intervals derived from logistic regression models are given for symptoms β coefficients and 95% confidence intervals derived from linear regression models are given for objective findings and QOL/functional status. Numbers are odds ratios (95% confidence intervals) for symptom variables and β coefficients (95% confidence intervals) for all other variables.

    • * P < .05

    • QWB-SA, Quality of Well Being–Self-Administered Scale; HUI-3, Healthy Utility Index 3 Scale.

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The Journal of the American Board of Family Practice: 17 (5)
The Journal of the American Board of Family Practice
Vol. 17, Issue 5
1 Sep 2004
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The Prevalence, Predictors, and Consequences of Peripheral Sensory Neuropathy in Older Patients
James W. Mold, Sara K. Vesely, Barbara A. Keyl, Joan B. Schenk, Michelle Roberts
The Journal of the American Board of Family Practice Sep 2004, 17 (5) 309-318; DOI: 10.3122/jabfm.17.5.309

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The Prevalence, Predictors, and Consequences of Peripheral Sensory Neuropathy in Older Patients
James W. Mold, Sara K. Vesely, Barbara A. Keyl, Joan B. Schenk, Michelle Roberts
The Journal of the American Board of Family Practice Sep 2004, 17 (5) 309-318; DOI: 10.3122/jabfm.17.5.309
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