Changes in physical performance according to job demands across three cohorts of older workers in the Longitudinal Aging Study Amsterdam.

This study set out to evaluate the association between job demands at baseline and physical performance over a six-year period across three cohorts of older Dutch workers examined 10 years apart. Data were drawn from three cohorts (1992-1999, 2002-2009 and 2012-2019) of the Longitudinal Aging Study Amsterdam. Individuals aged 55-65 years from each cohort who worked for pay were included (n = 274, n = 416, n = 618, respectively). Physical performance was measured using gait speed and chair stand performance. A population-based job exposure matrix was used to indicate levels of exposure probability of physical (use of force and repetitive movements) and psychosocial (cognitive demands and time pressure) job demands. We found that psychosocial job demands increased and physical demands decreased across the three cohorts. No between cohort differences were found for how job demands affected changes in physical performance over follow-up. For men, faster decline in gait speed was observed when comparing higher and lower use of force at baseline (ß -0.012, 95% CI -0.021, -0.004). Greater use of force and repetitive movements were associated with faster decline in chair stand performance (ß -0.012, 95% CI -0.020, -0.004 and ß -0.009, 95% CI -0.017, -0.001, respectively). In women, no association of job demands on change in physical performance was observed. The study concluded that higher physical job demands were associated with stronger decline in physical performance across six years for men in all cohorts, while no associations were found among women.

Impact of the publication of the Finnish Meds75+ database on the use of potentially inappropriate medications in older persons.

AIMS: To evaluate the impact of the updated nationwide Meds75+ database and its linkage to the Finnish health portal on the use of potentially inappropriate medications (PIMs) among older persons. We also aimed to evaluate whether there is regional variation in trend changes of PIM use. METHODS: Meds75+ was implemented at the population level in 2015, so randomization is unfeasible. We used a quasi-experimental interrupted time series analysis to evaluate the changes in levels and trends of PIM use. The data included all Finnish community-dwelling persons aged ≥75 years (N = 920 163) who had medication purchases in the Prescription Register during 2009-2020. Data were linked with the Care Registers for Health and Social Care and the cause of death register. RESULTS: The prevalence of PIMs decreased from 20.2% in 2009 to 11.7% in 2020. The change of level of the monthly PIM users was negative (ß -0.036, 95% confidence interval [CI] -0.202 to 0.131), but not statistically significant (P = .673) after the publication of the database. We found a small decrease (ß -0.018, 95% CI -0.083 to 0.047, P = .593) in the slope of PIM users, but it was not statistically significant. The regional results were similar to the main findings. CONCLUSIONS: Publication of the updated Meds75+ database did not decrease the level or trend of PIM users. In addition, this study did not show any significant regional variation in PIM use trends. Further research should focus on determining barriers and facilitators to the utilization of PIM criteria in clinical practice.

Trends in the use of psychotropics in older people with dementia: interrupted time series of Finnish clinical guidelines of behavioural and psychological symptoms of dementia.

BACKGROUND: Up to 90% of people with dementia experience behavioural and psychological symptoms of dementia (BPSD) as part of their illness. Psychotropics are not recommended as the first-line treatment of BPSD because older people are more prone to adverse reactions. In this study, we evaluate the impact of the Finnish clinical guidelines of BPSD (published in 2017) on psychotropic use in people with dementia. METHODS: This study is based on Finnish Prescription Register data from 2009 to 2020. The data included all community-dwelling Finnish people aged ≥65 and who had anti-dementia medication purchases (n = 217,778). We used three-phased interrupted time series design to evaluate the changes in levels and trends of monthly (n = 144) psychotropic user rates compared with the predicted trends. In addition, we evaluated the changes in levels and trends of monthly new psychotropic user rates. RESULTS: The level of monthly psychotropic user rate decreased non-significantly during the intervention period (ß -0.057, P = 0.853), and during the post-intervention period, there was an increase in the level (ß 0.443, P = 0.091) and slope (ß 0.199, P = 0.198), but not statistically significant. The level of monthly new psychotropic user rate (ß -0.009, P = 0.949) during the intervention period and the level (ß 0.044, P = 0.714) and slope (ß 0.021, P = 0.705) during the post-intervention period were almost unchanged. CONCLUSIONS: Results may indicate possible challenges in deprescribing and better adherence to the guidelines at the beginning of BPSD treatment. Further research into the barriers to implement BPSD guidelines and the availability of non-pharmacological treatments is needed.

Body Composition in Late Midlife as a Predictor of Accelerated Age-associated Deficit-accumulation From Late Midlife into Old Age: A Longitudinal Birth Cohort Study.

BACKGROUND: Body mass index (BMI) may not be an optimal predictor of frailty as its constituents, lean and fat mass, may have opposite associations with frailty. METHODS: A linear mixed model analysis was performed in the Helsinki Birth Cohort Study (n = 2 000) spanning from 57 to 84 years. A 39-item frailty index (FI) was calculated on three occasions over 17 years. Body composition in late midlife included BMI, percent body fat (%BF), waist-to-hip ratio (WHR), lean mass index (LMI), and fat mass index (FMI). RESULTS: Mean FI levels increased by 0.28%/year among men and by 0.34%/year among women. Among women, per each kg/m2 higher BMI and each unit higher %BF the increases in FI levels per year were 0.013 percentage points (PP) steeper (95% CI = 0.004, 0.023) and 0.009 PP steeper (95% CI = 0.002, 0.016) from late midlife into old age. Among men, per each 0.1-unit greater WHR the increase in FI levels was 0.074 PP steeper per year (95% CI = -0.0004, 0.148). Cross-sectionally, greater FMI and LMI in late midlife were associated with higher FI levels but the direction of the association regarding LMI changed after adjustment for FMI. The categories "high FMI and high LMI" and "high FMI and low LMI" showed the highest FI levels relative to the category "low FMI and low LMI". CONCLUSIONS: In late midlife, greater adiposity (%BF) among women and abdominal obesity (WHR) among men may predispose to higher levels of frailty from late midlife into old age. Greater lean mass alone may be protective of frailty, but not in the presence of high fat mass.

Early-Life Factors as Predictors of Age-Associated Deficit Accumulation Across 17 Years From Midlife Into Old Age.

BACKGROUND: Early-life exposures have been associated with the risk of frailty in old age. We investigated whether early-life exposures predict the level and rate of change in a frailty index (FI) from midlife into old age. METHODS: A linear mixed model analysis was performed using data from 3 measurement occasions over 17 years in participants from the Helsinki Birth Cohort Study (n = 2 000) aged 57-84 years. A 41-item FI was calculated on each occasion. Information on birth size, maternal body mass index (BMI), growth in infancy and childhood, childhood socioeconomic status (SES), and early-life stress (wartime separation from both parents) was obtained from registers and health care records. RESULTS: At age 57 years the mean FI level was 0.186 and the FI levels increased by 0.34%/year from midlife into old age. Larger body size at birth associated with a slower increase in FI levels from midlife into old age. Per 1 kg greater birth weight the increase in FI levels per year was -0.087 percentage points slower (95% confidence interval = -0.163, -0.011; p = 0.026). Higher maternal BMI was associated with a higher offspring FI level in midlife and a slower increase in FI levels into old age. Larger size, faster growth from infancy to childhood, and low SES in childhood were all associated with a lower FI level in midlife but not with its rate of change. CONCLUSIONS: Early-life factors seem to contribute to disparities in frailty from midlife into old age. Early-life factors may identify groups that could benefit from frailty prevention, optimally initiated early in life.

Sociodemographic Correlates of Parental Co-Participation in Digital Media Use and Physical Play of Preschool-Age Children.

Young children's digital media use and physical activity have gained attention in recent research. Parental co-participation has a major impact on children's health consequences. This study addressed a gap in the research by investigating daily parental co-participation in children's digital media use and physical play, using the family ecological model theoretical framework. The participants in this nationally representative cross-sectional study were 2512 Finnish parents with two- to six-year-old children. Parents completed a questionnaire. Sociodemographic correlates of co-participation and of the awareness of guidelines regarding co-participation and correlation between co-participation in digital media use and physical play were analysed. Parental co-participation in physical play and digital media use correlated positively. Lower parental age, male parental gender, Finnish and Swedish languages, a fewer number of children, and a male child gender were associated with more co-participation in one or both activities, and parental female gender and low family income were associated with more awareness. The awareness of guidelines was not associated with co-participation in digital media use. There were sociodemographic differences in parental co-participation. From a health counselling perspective, parents may benefit from national recommendations on digital media use and physical activity, but adherence to guidelines depends on the family context.

A nonlinear mixed model approach to predict energy expenditure from heart rate.

Objective.Heart rate (HR) monitoring provides a convenient and inexpensive way to predict energy expenditure (EE) during physical activity. However, there is a lot of variation among individuals in the EE-HR relationship, which should be taken into account in predictions. The objective is to develop a model that allows the prediction of EE based on HR as accurately as possible and allows an improvement of the prediction using calibration measurements from the target individual.Approach.We propose a nonlinear (logistic) mixed model for EE and HR measurements and an approach to calibrate the model for a new person who does not belong to the dataset used to estimate the model. The calibration utilizes the estimated model parameters and calibration measurements of HR and EE from the person in question. We compare the results of the logistic mixed model with a simpler linear mixed model for which the calibration is easier to perform.Main results.We show that the calibration is beneficial already with only one pair of measurements on HR and EE. This is an important benefit over an individual-level model fitting, which requires a larger number of measurements. Moreover, we present an algorithm for calculating the confidence and prediction intervals of the calibrated predictions. The analysis was based on up to 11 pairs of EE and HR measurements from each of 54 individuals of a heterogeneous group of people, who performed a maximal treadmill test.Significance.The proposed method allows accurate energy expenditure predictions based on only a few calibration measurements from a new individual without access to the original dataset, thus making the approach viable for example on wearable computers.