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1.
Pharmacoepidemiol Drug Saf ; 30(2): 135-143, 2021 02.
Article in English | MEDLINE | ID: mdl-32757254

ABSTRACT

PURPOSE: Previous studies investigating the association between anticholinergic burden (ACB) and health-related quality of life (HRQoL) showed conflicting results and focused on older adults or specific patient groups only. METHODS: Participants from the European Prospective Investigation of Cancer-Norfolk study were divided into three groups according to their ACB from medications at baseline, representing ACB scores of 0, 1 and ≥2. Outcomes of interest were the physical and mental component summary scores (PCS and MCS) of the Short Form-36, collected at 18 months from the baseline and again after a mean 13 years of follow-up. Linear regression and logistic regression for cross-sectional and longitudinal associations between ACB and HRQoL were constructed adjusting for potential confounders. RESULTS: A total of 16 675 participants, mean age 58.9 ± 9.1 years (55.6% female) and 7133 participants, mean age at follow-up 69.1 ± 8.7 years (56.8% female), were included in the cross-sectional and longitudinal analyses, respectively. In cross-sectional analysis, higher anticholinergic burden was associated with higher odds of being in the lowest quartile of PCS (ACB = 1; OR, 1.85[1.64, 2.09] and ACB ≥ 2:2.19[1.85, 2.58] and MCS (ACB = 1:1.47[1.30, 1.66] and ACB ≥ 2:1.68[1.42, 1.98]). In longitudinal analysis, higher anticholinergic burden was similarly associated with higher odds of being in the lowest quartile of PCS (ACB = 1:1.56[1.24, 1.95] and ACB ≥ 2:1.48[1.07, 2.03]) compared with ACB 0 group. The association with MCS scores did not reach statistical significance. CONCLUSION: The use of anticholinergic medications is associated with both short and long-term poorer physical functions but association with mental functioning appears more short-term.


Subject(s)
Cholinergic Antagonists , Quality of Life , Aged , Cholinergic Antagonists/adverse effects , Cohort Studies , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Prospective Studies
2.
Maturitas ; 142: 55-63, 2020 Dec.
Article in English | MEDLINE | ID: mdl-33158488

ABSTRACT

OBJECTIVES: To examine whether anticholinergic medication exposure in middle and late life is associated with physical capability. STUDY DESIGN: We used data from 8477 men and women who had enrolled in the European Prospective Investigation of Cancer-Norfolk study at baseline (1HC; 1993-1997) and who had attended its third health examination (3HC; 2004-2010). Medication history at the 1HC and 3HC was used to score participants according to the Anticholinergic Cognitive Burden (ACB) Scale at baseline and 3HC; participants were categorised as ACB = 0, ACB = 1, ACB>2. MAIN OUTCOME MEASURE: At 3HC, physical capability was objectively measured by: usual walking speed, maximum grip strength, timed chair stands speed (TCSS) and standing balance. Linear and logistic regression models examined prospective and cross-sectional associations between ACB and physical capability, controlling for co-morbidity, sociodemographic and lifestyle factors. RESULTS: The analyses included 3386 men and 4110 women who were 56.4 (SD 7.9) and 55.0 (7.7) years old respectively at baseline and 69.4 (8.1) and 67.9 (8.0) years old at follow-up. Significant cross-sectional and prospective relationships were observed for all physical capability measures in women, except grip strength. For example, women with ACB ≥ 2 compared with ACB = 0 at baseline had 0.07 m/s (95 % CI -0.11, -0.03) slower usual walking speed, 2.61 stands/min (-4.17, -1.05) slower TCSS and higher odds of being unable to complete a tandem stand (odds ratio 2.40, 95 % CI 1.53, 3.76). These trends were observed in men but were less consistent in prospective analyses. CONCLUSION: Exposure to anticholinergic medication predicts poor physical capability and is a potentially reversible risk factor.


Subject(s)
Cholinergic Antagonists/therapeutic use , Physical Fitness , Aged , Aged, 80 and over , Cross-Sectional Studies , England/epidemiology , Female , Hand Strength , Humans , Male , Middle Aged , Postural Balance , Prospective Studies , Risk Factors , Time and Motion Studies , Walking Speed
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