With an aging work-force, factors determining working capability, such as cognitive functions or communication skills, need to be assessed precisely. We addressed the gap of current knowledge based on self-rated measures by using objective measures and standardized questionnaires. Cross-sectional analysis included baseline data from the Memory Advancement by Intranasal Insulin in Type 2 Diabetes trial (MemAID), which consisted of 168 subjects, 84 men, 67.6±9.05 years old (mean ±SD), 44% diabetic, and 78 currently working. The subjects’ working status, demographic characteristics, health factors – including body mass index, hemoglobin A1c (HbA1c - a measure of insulin resistance), number of co-morbidities – and a set of objective measures of their health status – including cognitive speed processing, visual learning, memory, walking speed, depression, and disability scores – were analyzed to detect relevant associations, which were then used to construct a logistic regression model aimed to determine significant determinants of the probability of working in older adults (≥50 years of age). Results show that hemoglobin A1c and normal walking speed have a strong association with the probability of working in older adults.
The association of demographic and health factors with working capability in elderly
Padovano A.;Longo F.;
2018-01-01
Abstract
With an aging work-force, factors determining working capability, such as cognitive functions or communication skills, need to be assessed precisely. We addressed the gap of current knowledge based on self-rated measures by using objective measures and standardized questionnaires. Cross-sectional analysis included baseline data from the Memory Advancement by Intranasal Insulin in Type 2 Diabetes trial (MemAID), which consisted of 168 subjects, 84 men, 67.6±9.05 years old (mean ±SD), 44% diabetic, and 78 currently working. The subjects’ working status, demographic characteristics, health factors – including body mass index, hemoglobin A1c (HbA1c - a measure of insulin resistance), number of co-morbidities – and a set of objective measures of their health status – including cognitive speed processing, visual learning, memory, walking speed, depression, and disability scores – were analyzed to detect relevant associations, which were then used to construct a logistic regression model aimed to determine significant determinants of the probability of working in older adults (≥50 years of age). Results show that hemoglobin A1c and normal walking speed have a strong association with the probability of working in older adults.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
