Could poor glycaemic control be a predictor of walking speed decline in older adults? Evidence from the English Longitudinal Study of Ageing.

AIM: Although diabetes is a risk factor for walking speed decline in older adults, it remains unclear how glycaemic control [assessed by glycated haemoglobin (HbA1c)] might affect the long-term trajectories of walking speed. We investigated whether the glycaemic control status accelerates the walking speed decline and whether this decline differs depending on previous mobility conditions. MATERIALS AND METHODS: In total, 3202 individuals aged ≥60 years from the English Longitudinal Study of Ageing (ELSA) were classified at baseline and after 4 and 8 years of follow-up according to glycaemic control status as 'without diabetes' (no self-reported diabetes and HbA1c <6.5%), 'good glycaemic control' (self-reported diabetes and HbA1c ≥6.5% and <7.0%) and 'poor glycaemic control' (PGC) (self-reported diabetes and HbA1c ≥7.0%). The generalized linear mixed models verified the walking speed trajectories in m/s. A second analysis was performed, including only participants without slowness at baseline (>0.8 m/s). RESULTS: Compared with the status 'without diabetes', the annual walking speed decline was -0.015 m/s for PGC and -0.011 m/s for good glycaemic control, totalling -0.160 and -0.130 m/s, respectively, over 8 years. Among those without slowness at baseline, only PGC had a significant walking speed decline, corresponding to -0.014 m/s per year and -0.222 m/s over 8 years. CONCLUSIONS: Poor glycaemic control is a discriminator of walking speed decline in older adults, regardless of previous mobility conditions. It may serve as an early screening tool for those at risk of decreased functional performance later in life.

Does undiagnosed diabetes mitigate the association between diabetes and cognitive impairment? Findings from the ELSI-Brazil study.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is associated with cognitive impairment. However, most of the evidence has been based on self-reported T2DM, and undiagnosed diabetes has not been considered as a separate category. We aimed to examine the extent to which undiagnosed diabetes modifies the association between diabetes and cognitive impairment in a representative sample of Brazilian adults aged 50 years and older. METHODS: We analyzed baseline data from 1944 participants of the Brazilian Longitudinal Study of Aging (ELSI-Brazil) conducted from 2015 to 2016. Diabetes was evaluated based on self-reported doctor diagnosis and glycosylated hemoglobin levels. Participants were classified as diabetics (D), undiagnosed diabetics (UDD), or nondiabetics (ND). Cognitive function was assessed by word list learning and verbal fluency tests. Three multiple logistic regression models were used to evaluate the changes in the strength of the associations. RESULTS: Participants with diabetes had 49% greater odds of exhibiting impaired memory than nondiabetics (odds ratio [OR] = 1.49; 95% CI: 1.01-2.20). By combining UDD and ND, the association between diabetes and impaired memory was attenuated by 2.0%, losing its statistical significance (OR = 1.46; 95% CI: 0.98-2.17). By combining UDD and D, the association was attenuated by 7.4% (OR = 1.38; 95% CI: 1.01-1.90). No significant association was found between T2DM and impaired verbal fluency. CONCLUSION: This study found an association between T2DM and impaired memory but not with impaired verbal fluency. When UDD individuals are considered diabetics, this association is attenuated; when UDD individuals are considered as ND, this association is attenuated to the extent that it loses its statistical significance, affecting thus the clinical interpretation.

Gender Differences in the Incidence and Determinants of Components of the Frailty Phenotype Among Older Adults: Findings From the SABE Study.

OBJECTIVE: To analyze gender differences in incidence and determinants of the components of the frailty phenotype. METHOD: A total of 1,413 older adults were selected in 2006. To estimate the incidence of each frailty component, only individuals who did not exhibit a given component at baseline (independently of the presence of other components) were included in the study. The variables of interest were socioeconomic, behavioral, clinical, anthropometric factors and physical performance. The incidence of each component in 2010 was the outcome. RESULTS: Unintentional weight loss and slowness were more incident in men up to 74 years of age. The other frailty components were more incident in women at all age groups, except weakness. Besides age, the determinants of incidence of the components of frailty were different between genders. DISCUSSION: Strategies for preventing or delaying the installation of frailty need to address gender differences, considering the greater complexity in the network determinants among women.

Similarities among factors associated with components of frailty in elderly: SABE Study.

OBJECTIVE: To analyze similarities among factors associated with the components of frailty in elderly. METHOD: We studied 1,413 elderly from the second wave of the SABE Study in 2006. Each of the five components of the frailty phenotype was considered a dependent variable in the hierarchical logistic regression models. RESULTS: In both genders, age, schooling, sedentary lifestyle, and screening positive for depression were associated similarly with more than one component of frailty. Other similarities were also observed with stroke and screening positive for cognitive decline in men, and number of diseases and gait speed in women. The most similar associations happened between weakness and slowness; weakness, slowness, and LPAL; or weakness, slowness, and exhaustion. DISCUSSION: Encouraging physical activity, screening for and treating depression and treating both diseases of the central nervous system and chronic diseases must be the focus of strategies to avoid, delay, or even remedy frailty.