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1.
J Intern Med ; 286(3): 326-340, 2019 09.
Article in English | MEDLINE | ID: mdl-31165572

ABSTRACT

BACKGROUND: The natural history of prediabetes in older adults remains unknown. OBJECTIVES: To assess the rate at which prediabetes progresses to diabetes, leads to death or reverts to normoglycaemia in older adults and to identify prognostic factors related to different outcomes of prediabetes. METHODS: In the Swedish National Study on Aging and Care-Kungsholmen, 2575 diabetes-free participants aged ≥60 years were examined at baseline and followed for up to 12 years. At each wave, diabetes was diagnosed via medical examination, antidiabetic drug use, medical records or glycated haemoglobin (HbA1c) ≥6.5%. Prediabetes was defined as HbA1c ≥5.7% and normoglycaemia as HbA1c <5.7% in diabetes-free participants. Data were analysed with multinomial logistic regression. RESULTS: At baseline, 918 (36%) individuals had prediabetes. Of them, 204 (22%) reverted to normoglycaemia (3.4/100 person-years, 95% CI 5.6-12.3), 119 (13%) developed diabetes (2.0/100 person-years, 95% CI 1.7-2.4) and 215 (23%) died (13.0/100 person-years, 95% CI 11.4-14.9) during the 12-year follow-up. The rates of reversion, progression and mortality were higher in the first 6-year than in the second 6-year follow-up, albeit not statistically significant. Lower systolic blood pressure (SBP), absence of heart diseases and weight loss promoted the reversion from prediabetes to normoglycaemia, whilst obesity accelerated its progression to diabetes. CONCLUSIONS: During a 12-year follow-up, most of older adults with prediabetes remained stable or reverted to normoglycaemia, whereas only one-third developed diabetes or died. Lower SBP, no heart diseases and weight management may promote reversion to normoglycaemia, suggesting possible strategies for achieving normoglycaemia in older adults with prediabetes.


Subject(s)
Prediabetic State/epidemiology , Age Distribution , Aged , Aged, 80 and over , Blood Glucose/metabolism , Disease Progression , Female , Glycated Hemoglobin/metabolism , Humans , Longitudinal Studies , Male , Middle Aged , Prediabetic State/blood , Prognosis , Risk Factors , Sweden/epidemiology
2.
J Intern Med ; 283(5): 489-499, 2018 05.
Article in English | MEDLINE | ID: mdl-29415323

ABSTRACT

BACKGROUND: Multimorbidity is among the most disabling geriatric conditions. In this study, we explored whether a rapid development of multimorbidity potentiates its impact on the functional independence of older adults, and whether different sociodemographic factors play a role beyond the rate of chronic disease accumulation. METHODS: A random sample of persons aged ≥60 years (n = 2387) from the Swedish National study on Aging and Care in Kungsholmen (SNAC-K) was followed over 6 years. The speed of multimorbidity development was estimated as the rate of chronic disease accumulation (linear mixed models) and further dichotomized into the upper versus the three lower rate quartiles. Binomial negative mixed models were used to analyse the association between speed of multimorbidity development and disability (impaired basic and instrumental activities of daily living), expressed as the incidence rate ratio (IRR). The effect of sociodemographic factors, including sex, education, occupation and social network, was investigated. RESULTS: The risk of new activity impairment was higher among participants who developed multimorbidity faster (IRR 2.4, 95% CI 1.9-3.1) compared with those who accumulated diseases more slowly overtime, even after considering the baseline number of chronic conditions. Only female sex (IRR for women vs. men 1.6, 95% CI 1.2-2.0) and social network (IRR for poor vs. rich social network 1.7, 95% CI 1.3-2.2) showed an effect on disability beyond the rate of chronic disease accumulation. CONCLUSIONS: Rapidly developing multimorbidity is a negative prognostic factor for disability. However, sociodemographic factors such as sex and social network may determine older adults' reserves of functional ability, helping them to live independently despite the rapid accumulation of chronic conditions.


Subject(s)
Disabled Persons , Multimorbidity , Aged , Aged, 80 and over , Chronic Disease/epidemiology , Female , Humans , Male , Middle Aged , Sampling Studies , Sex Factors , Social Networking , Sweden/epidemiology , Time Factors
3.
Eur J Neurol ; 19(10): 1325-30, 2012 Oct.
Article in English | MEDLINE | ID: mdl-22568638

ABSTRACT

BACKGROUND AND PURPOSE: A general hypothesis is that pain following stroke (PFS) causes disabilities. However, the clinical implication of PFS on other disabilities after stroke and vice versa has not been fully investigated. The aims of this observational study were to analyze the correlation between PFS and other disabilities at different time points after stroke, whether PFS can be a predictor of coming disabilities and whether other disabilities can be predictors of coming PFS. METHODS: Patients with a first-ever stroke were assessed initially (n = 109), and at 3 (n = 95) and 18 months (n = 66) after stroke for PFS, mobility, self-care as well as touch, proprioceptive, muscle tone, and movement functions. RESULTS: PFS was correlated to impaired upper extremity movement function on all occasions, while the correlations between PFS and other disabilities varied across the three occasions. Initial PFS and PFS at 3 months did not independently predict coming disabilities. Initial mobility limitation independently predicted PFS at 3 months and impaired touch function, initially and at 3 months, independently predicted PFS at 18 months. No other disabilities independently predicted coming PFS. CONCLUSIONS: The present results do not support the hypothesis that PFS causes other disabilities. Our results indicate that PFS is correlated to other disabilities; however, no ultimate conclusions can be drawn on causality. PFS was not a predictor of coming disabilities, while some disabilities were predictors of coming PFS.


Subject(s)
Pain/complications , Stroke/complications , Activities of Daily Living , Aged , Aged, 80 and over , Disability Evaluation , Female , Humans , Male , Movement Disorders/epidemiology , Movement Disorders/etiology , Muscle Spasticity/epidemiology , Muscle Spasticity/etiology , Somatosensory Disorders/epidemiology , Somatosensory Disorders/etiology
4.
Eur J Neurol ; 17(5): 720-5, 2010 May.
Article in English | MEDLINE | ID: mdl-20050897

ABSTRACT

BACKGROUND AND PURPOSE: There is no consensus concerning the location or severity of spasticity, or how this changes with time after stroke. The purpose was to describe: the location and severity of spasticity, in different muscle groups, during the first 1-2 weeks and at 3 and 18 months after stroke; the association between the severity of spasticity and control of voluntary movements; and the occurrence of spasticity in younger versus older patients. METHODS: In a cohort of consecutive patients, the following parameters were assessed during the first 1-2 weeks (n = 109) and at 3 (n = 95) and 18 (n = 66) months after first-ever stroke: spasticity, by the Modified Ashworth Scale in different muscle groups; plantar-flexor clonus, by physical examination; and movement function, by the Lindmark Motor Assessment Scale. RESULTS: During the first 1-2 weeks and at 3 months after stroke, spasticity was most common in the anti-gravity muscles. The severity of upper extremity spasticity increased over time (P < 0.05). Upper extremity spasticity and movement scores were moderately associated (r = -0.61, P < 0.05). At 3 months, spasticity was more common amongst the younger patients (P < 0.05). CONCLUSIONS: The results confirm that spasticity is most common in the anti-gravity muscles and is associated with the control of voluntary movements. As the severity of spasticity also increased after 3 months, when neurally mediated spasticity is expected to have passed its peak, intrinsic muscle changes may play a larger role than neural components with the passage of time after stroke.


Subject(s)
Muscle Spasticity/diagnosis , Muscle Spasticity/etiology , Severity of Illness Index , Stroke/complications , Stroke/diagnosis , Adult , Aged , Aged, 80 and over , Cohort Studies , Disease Progression , Female , Follow-Up Studies , Humans , Male , Middle Aged , Movement Disorders/diagnosis , Movement Disorders/etiology , Neurologic Examination , Posture/physiology , Time Factors
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