Younger facial looks are associate with a lower likelihood of several age-related morbidities in the middle-aged to elderly.

BACKGROUND: Looking older for one's chronological age is associated with a higher mortality rate. Yet it remains unclear how perceived facial age relates to morbidity and the degree to which facial ageing reflects systemic ageing of the human body. OBJECTIVES: To investigate the association between ΔPA and age-related morbidities of different organ systems, where ΔPA represents the difference between perceived age (PA) and chronological age. METHODS: We performed a cross-sectional analysis on data from the Rotterdam Study, a population-based cohort study in the Netherlands. High-resolution facial photographs of 2679 men and women aged 51.5-87.8 years of European descent were used to assess PA. PA was estimated and scored in 5-year categories using these photographs by a panel of men and women who were blinded for chronological age and medical history. A linear mixed model was used to generate the mean PAs. The difference between the mean PA and chronological age was calculated (ΔPA), where a higher (positive) ΔPA means that the person looks younger for their age and a lower (negative) ΔPA that the person looks older. ΔPA was tested as a continuous variable for association with ageing-related morbidities including cardiovascular, pulmonary, ophthalmological, neurocognitive, renal, skeletal and auditory morbidities in separate regression analyses, adjusted for age and sex (model 1) and additionally for body mass index, smoking and sun exposure (model 2). RESULTS: We observed 5-year higher ΔPA (i.e. looking younger by 5 years for one's age) to be associated with less osteoporosis [odds ratio (OR) 0.76, 95% confidence interval (CI) 0.62-0.93], less chronic obstructive pulmonary disease (OR 0.85, 95% CI 0.77-0.95), less age-related hearing loss (model 2; B = -0.76, 95% CI -1.35 to -0.17) and fewer cataracts (OR 0.84, 95% CI 0.73-0.97), but with better global cognitive functioning (g-factor; model 2; B = 0.07, 95% CI 0.04-0.10). CONCLUSIONS: PA is associated with multiple morbidities and better cognitive function, suggesting that systemic ageing and cognitive ageing are, to an extent, externally visible in the human face.

Association of Carotid Atherosclerosis With Hearing Loss: A Cross-sectional Analysis of the Atherosclerosis Risk in Communities Study.

Objective: To describe the association between midlife carotid atherosclerosis and late-life hearing loss among participants in the Atherosclerosis Risk in Communities (ARIC) study. Design, Setting, and Participants: For this cross-sectional study and temporal analysis of a cohort within the ongoing ARIC prospective cohort study, participants were recruited from 4 communities in the US. The analysis evaluated information on mean carotid intima-media thickness (cIMT), from visit 1 (1987-1989) to visit 4 (1994-1996), carotid plaque presence at visit 4, and audiometric data from visit 6 (2016-2017). The cIMT measures were calculated from ultrasonography recordings by trained readers at the ARIC Ultrasound Reading Center. At each visit, cIMT was computed as the average of 3 segments: the distal common carotid, the carotid artery bifurcation, and the proximal internal carotid arteries. Presence of carotid plaque was determined based on an abnormal wall thickness, shape, or wall texture. Audiometric 4-frequency pure tone average (PTA) was measured and calculated for the better-hearing ear and modeled as a continuous variable. Linear regression estimated the association between cIMT and carotid plaque with hearing, adjusting for age, sex, race and study center, education level, body mass index (calculated as weight in kilograms divided by height in meters squared), smoking status, hypertension, cholesterol levels, diabetes, and exposure to occupational noise. Missing data (exposure and covariates) were imputed with multiple imputation by chained equations. Data analyses were performed from April 6 to July 13, 2022. Main Outcomes and Measures: Hearing loss assessed using 4-frequency (0.5, 1.0, 2.0, and 4.0 kilohertz) PTA for both ears and carotid plaque at visit 4 and mean cIMT from visit 1 to visit 4. Results: Among a total of 3594 participants (mean [SD] age at visit 4, 59.4 [4.6] years; 2146 [59.7%] female; 819 [22.8%] Black and 2775 [77.2%] White individuals), fully adjusted models indicated that an additional 0.1 mm higher mean cIMT was associated with 0.59 dB (95% CI, 0.17 to 1.02 dB) higher PTA. Compared with participants without carotid plaque, plaque presence was associated with 0.63 dB (95% CI, -0.57 to 1.84 dB) higher PTA. Conclusion and Relevance: The findings of this cross-sectional study with temporal analyses of a cohort with the ongoing ARIC study found that subclinical atherosclerosis in midlife was associated with worse hearing in older adulthood. Prevention and control of carotid atherosclerosis during middle age may positively affect the hearing health of older adults.

Physical activity levels and brain structure in middle-aged and older adults: a bidirectional longitudinal population-based study.

Physical activity has been suggested as modifiable factor that might contribute to improving cognitive and brain function during aging. However, previous studies were mainly of cross-sectional design and did not consider effects of time or potential reverse causality. We aimed to investigate the bidirectional associations of physical activity with brain structure in middle-aged and older adults. Overall, 4365 participants (64.01 ± 10.82 years; 56% women) from the Rotterdam Study had physical activity and brain structure assessed on at least one of 2 timepoints ('baseline': 2006-2012 or 'follow-up': 2012-2017, median duration between visits: 5 years). Physical activity was assessed through the LASA Physical Activity Questionnaire. T1-weighted MRI and diffusion tensor imaging were used to quantify brain volumes and white matter microstructure, respectively. Cross-lagged panel models were performed to estimate bidirectional associations, and linear mixed-effects models to investigate the consistency of findings. Larger total brain volume (ß = 0.067, 95%-confidence interval 0.035;0.099, pFDR = 0.001), gray matter volume (ß = 0.063, 0.031;0.096, pFDR = 0.002), and white matter volume (ß = 0.051, 0.020;0.083, pFDR = 0.013) at baseline were associated with higher levels of sports at follow-up. Lower global mean diffusivity at baseline was associated with higher levels of walking at follow-up (ß = -0.074, -0.111;-0.037, pFDR = 0.001). No associations were found between physical activity levels at baseline and brain metrics at follow-up. In conclusion, larger brain volumes and white matter microstructure at baseline were associated with individuals remaining more physically active at follow-up. Overall, this study identified older adults with potentially advanced brain aging status as being at higher risk of physical inactivity over time, and therefore as potential target group for prevention and novel intervention strategies.

The Effect of Hearing Aid Use on the Association Between Hearing Loss and Brain Structure in Older Adults.

OBJECTIVES: Recent studies have shown an association between poorer hearing thresholds and smaller brain tissue volumes in older adults. Several underlying causal mechanisms have been opted, with a sensory deprivation hypothesis as one of the most prominent. If hearing deprivation would lead to less brain volume, hearing aids could be hypothesized to moderate this pathway by restoration of hearing. This study aims to investigate whether such a moderating effect of hearing aids exists. DESIGN: The authors conducted a cross-sectional study involving aging participants of the population-based Rotterdam Study. Hearing aid use was assessed by interview and hearing loss was quantified using pure-tone audiometry. Total brain volume, gray matter and white matter volume and white matter integrity [fractional anisotropy (FA) and mean diffusivity] were measured using magnetic resonance imaging. Only participants with a pure tone average at 1, 2, and 4 kHz (PTA1,2,4) of ≥35 dB HL were included. Associations of hearing loss with brain volume and global measures of white matter integrity were analyzed using linear regression, with hearing aid use and interaction between hearing aid use and PTA1,2,4 included as independent variables. Models were adjusted for age, sex, time between audiometry and magnetic resonance imaging, level of education, and cardiovascular risk factors. RESULTS: Out of 459 included participants with mean age (range) 70.4 (52 to 92) 41% were female. Distributions of age and sex among hearing aid users (n = 172) did not significantly differ from those without hearing aids. PTA1,2,4 was associated with lower FA, but not with a difference in total brain volume, gray matter volume, white matter volume, or mean diffusivity. Interaction between hearing aid use and PTA1,2,4 was not associated with FA or any of the other outcome measures. Additional analysis revealed that interaction between hearing aid use and age was associated with lower FA. CONCLUSIONS: We found no evidence for a moderating effect of hearing aids on the relationship between hearing loss and brain structure in a population of older adults. However, use of hearing aids did appear as an effect modifier in the association between age and white matter integrity. Future longitudinal research is needed to clarify these results.

Cross-sectional and Longitudinal Associations Between Tinnitus and Mental Health in a Population-Based Sample of Middle-aged and Elderly Persons.

Importance: Tinnitus is a common disorder, but its impact on daily life varies widely in population-based samples. It is unclear whether this interference in daily life is associated with mental health problems that are commonly detected in clinical populations. Objective: To investigate the association of tinnitus and its interference in daily life with symptoms of depression and anxiety and poor sleep quality in a population-based sample of middle-aged and elderly persons in a cross-sectional analysis and during a 4-year follow-up. Design, Setting, and Participants: This cohort study evaluated data from the population-based Rotterdam Study of individuals 40 years or older living in Rotterdam, the Netherlands. Between 2011 and 2016, data on tinnitus were obtained during a home interview at least once for 6128 participants. Participants with information on depressive and anxiety symptoms and self-rated sleep quality, with Mini-Mental State Examination scores indicating unimpaired cognition, and with repeatedly obtained tinnitus and mental health outcome data were included. Data analyses were conducted between September 2019 and April 2020. Main Outcomes and Measures: The presence of tinnitus and its interference with daily life were assessed during a home interview. Depressive symptoms were assessed with the Center for Epidemiologic Studies-Depression, anxiety symptoms with the Hospital Anxiety and Depression Scale, and sleep quality with the Pittsburgh Sleep Quality Index. Linear regression analyses and linear mixed models adjusted for relevant confounders were used to assess the cross-sectional and longitudinal association of tinnitus with mental health. Results: Of 5418 complete-case participants (mean [SD] age, 69.0 [9.8] years; 3131 [57.8%] women), 975 (mean [SD] age, 71.7 [4.5] years; 519 [53.2%] women) had repeated measurements available for follow-up analyses. Compared with participants without tinnitus and participants with nonbothersome tinnitus, participants with tinnitus interfering with daily life reported more depressive (difference, 0.20; 95% CI, 0.11-0.28) and anxiety (difference, 0.15; 95% CI, 0.08-0.22) symptoms and poorer sleep quality (difference, 0.10; 95% CI, 0.03-0.16). Compared with participants without tinnitus, participants with nonbothersome tinnitus also reported more depressive (difference, 0.06; 95% CI, 0.03-0.09) and anxiety (difference, 0.05; 95% CI, 0.02-0.07) symptoms and poorer sleep quality (difference, 0.05; 95% CI, 0.03-0.08). Individuals indicating more interference with daily life reported having more mental health problems. During a mean follow-up of 4.4 years (range, 3.5-5.1 years), participants with tinnitus reported more anxiety symptoms and poorer sleep quality than those without tinnitus. Conclusions and Relevance: Findings of this population-based cohort study indicate that tinnitus was associated with more mental health problems in middle-aged and elderly persons in the general population, in particular when tinnitus interfered with daily life but not solely. Over time, more severe tinnitus was associated with an increase in anxiety symptoms and poor sleep quality. This outcome suggests that mental health problems may be part of the burden of tinnitus, even among individuals who do not report their tinnitus interfering with daily life.

Tinnitus and Its Central Correlates: A Neuroimaging Study in a Large Aging Population.

OBJECTIVES: To elucidate the association between tinnitus and brain tissue volumes and white matter microstructural integrity. DESIGN: Two thousand six hundred sixteen participants (mean age, 65.7 years [SD: 7.5 years]; 53.9% female) of the population-based Rotterdam Study underwent tinnitus assessment (2011 to 2014) and magnetic resonance imaging of the brain (2011 to 2014). Associations between tinnitus (present versus absent) and total, gray, and white matter volume and global white matter microstructure were assessed using multivariable linear regression models adjusting for demographic factors, cardiovascular risk factors, depressive symptoms, Mini-Mental State Examination score, and hearing loss. Finally, potential regional gray matter density and white matter microstructural volume differences were assessed on a voxel-based level again using multivariable linear regression. RESULTS: Participants with tinnitus (21.8%) had significantly larger brain tissue volumes (difference in SD, 0.09; 95% confidence interval, 0.06 to 0.13), driven by larger white matter volumes (difference, 0.12; 95% confidence interval, 0.04 to 0.21) independent of hearing loss. There was no association between tinnitus and gray matter volumes nor with global white matter microstructure. On a lobar level, tinnitus was associated with larger white matter volumes in each lobe, not with gray matter volume. Voxel-based results did not show regional specificity. CONCLUSIONS: We found that tinnitus in older adults was associated with larger brain tissue volumes, driven by larger white matter volumes, independent of age, and hearing loss. Based on these results, it may be hypothesized that tinnitus potentially has a neurodevelopmental origin in earlier life independent of aging processes.

Prevalence of Tinnitus in an Aging Population and Its Relation to Age and Hearing Loss.

OBJECTIVES: Tinnitus is a common hearing-related disorder, which may have a large impact on daily life. With aging populations worldwide, it is important to gain insight in the occurrence of tinnitus at older ages and to understand its relationship with age-related hearing loss. We investigated the prevalence of tinnitus among a general aging population, across age strata and hearing status. STUDY DESIGN: Cross-sectional. SETTING: The population-based Rotterdam Study. METHODS: A total of 6098 participants underwent tinnitus assessment, and 4805 had additional hearing assessment. We determined tinnitus prevalence per 5-year age groups. Hearing impairment was defined as ≥25-dB HL worse ear pure tone average (0.5, 1, 2, 4 kHz). We investigated with multivariable logistic regression the association between hearing impairment and tinnitus. Tinnitus handicap was assessed in 663 participants with daily tinnitus via the Tinnitus Handicap Inventory-screening version (THI-s). RESULTS: Tinnitus was prevalent in 21.4% (n = 1304). Prevalent tinnitus was evenly distributed over 5-year age groups. Participants with hearing impairment were more likely to have tinnitus (odds ratio, 2.27; 95% CI, 1.92-2.69) as compared with those without hearing impairment. The median THI-s score was 4 (interquartile range, 0-10), indicating a slight handicap, and 14.6% of the participants reported a moderate or severe handicap (THI-s ≥16). CONCLUSIONS: In a general elderly population, 1 in 5 persons has tinnitus. Of those with tinnitus, for 1 per 10 persons, the presence of tinnitus interfered with daily life. Participants with hearing impairment were twice as likely to have tinnitus. Despite the age-dependent occurrence of hearing impairment, no such age dependency was found for tinnitus.

Hearing loss and cognitive decline in the general population: a prospective cohort study.

BACKGROUND: Previous studies identifying hearing loss as a promising modifiable risk factor for cognitive decline mostly adjusted for baseline age solely. As such a faster cognitive decline at a higher age, which is expected considering the non-linear relationship between cognition and age, may have been overlooked. Therefore it remains uncertain whether effects of hearing loss on cognitive decline extend beyond age-related declines of cognitive function. METHODS: 3,590 non-demented participants were eligible for analysis at baseline, and a maximum of 837 participants were eligible for the longitudinal analysis. Hearing loss was defined at baseline. Cognitive function was measured at baseline and at follow-up (4.4 years [SD: 0.2]). Multivariable linear regression analysis was used for the cross-sectional analysis. Linear mixed models were used to assess the longitudinal association between hearing loss and cognitive decline over time while adjusting for confounders and the interaction of age and follow-up time. RESULTS: Hearing loss was associated with lower cognitive function at baseline. Moreover, hearing loss was associated with accelerated cognitive decline over time on a memory test. After additionally adjusting for the interaction between age and follow-up time, we found that hearing loss did not accelerate cognitive decline anymore. CONCLUSIONS: Hearing loss was associated with lower cognitive function at baseline and accelerated cognitive decline on a memory test. The association between hearing loss and accelerated cognitive decline was non-significant after additional adjustment for non-linear age effects. More evidence is needed to ensure the role of hearing loss as a modifiable risk factor for cognitive decline.

Associations of vitamin D deficiency with MRI markers of brain health in a community sample.

BACKGROUND & AIM: Vitamin D deficiency has been linked to an increased risk of dementia. To strengthen this evidence and establish whether vitamin D can indeed play a role in early prevention of neurodegeneration, knowledge on underlying pathways is crucial. Therefore, we aimed to investigate the association of vitamin D status with brain tissue volumes, hippocampus volume, white matter integrity, and markers of cerebral small vessel disease (CSVD) in a dementia-free population. METHODS: In this cross-sectional analysis, 2,716 participants free of dementia from the population-based Rotterdam Study underwent serum 25(OH)D concentration assessment and brain magnetic resonance imaging (MRI) scanning between 2006 and 2009. Outcomes of interest included brain tissue volume (total, white matter, grey matter and hippocampus volume), white matter integrity (fractional anisotropy (FA) and mean diffusivity (MD)), and markers of CSVD (white matter hyper intensity (WMH) volume, presence of lacunes and microbleeds). Associations between vitamin D status, both in categories and continuous, and these brain measurements were assessed using multivariable linear and logistic regression models, adjusting for lifestyle and other disease risk factors. RESULTS: We observed that vitamin D deficiency (25(OH)D < 30 nmol/L) was independently associated with smaller brain tissue volume, smaller white matter volume and smaller hippocampus volume as compared to a sufficient vitamin D status (≥50 nmol/L). Vitamin D per 10 nmol/L increment and an insufficient (30-50 nmol/L) as compared to sufficient vitamin D status were not associated with the brain measures of interest. Moreover, vitamin D status was not associated with grey matter volume, white matter integrity or CSVD markers. CONCLUSIONS: In this dementia-free population, vitamin D deficiency was associated with a smaller brain tissue volume and hippocampus volume. More research, in particular with a longitudinal design, is needed to further elucidate the role of vitamin D in neurodegeneration.

Association of Speech Recognition Thresholds With Brain Volumes and White Matter Microstructure: The Rotterdam Study.

OBJECTIVES: Brain volumetric declines may underlie the association between hearing loss and dementia. While much is known about the peripheral auditory function and brain volumetric declines, poorer central auditory speech processing may also be associated with decreases in brain volumes. METHODS: Central auditory speech processing, measured by the speech recognition threshold (SRT) from the Digits-in-Noise task, and neuroimaging assessments (structural magnetic resonance imaging [MRI] and fractional anisotropy and mean diffusivity from diffusion tensor imaging), were assessed cross-sectionally in 2,368 Rotterdam Study participants aged 51.8 to 97.8 years. SRTs were defined continuously and categorically by degrees of auditory performance (normal, insufficient, and poor). Brain volumes from structural MRI were assessed on a global and lobar level, as well as for specific dementia-related structures (hippocampus, entorhinal cortex, parahippocampal gyrus). Multivariable linear regression models adjusted by age, age-squared, sex, educational level, alcohol consumption, intracranial volume (MRI only), cardiovascular risk factors (hypertension, diabetes, obesity, current smoking), and pure-tone average were used to determine associations between SRT and brain structure. RESULTS: Poorer central auditory speech processing was associated with larger parietal lobe volume (difference in mL per dB increase= 0.24, 95% CI: 0.05, 0.42), but not with diffusion tensor imaging measures. Degrees of auditory performance were not associated with brain volumes and white matter microstructure. CONCLUSIONS: Central auditory speech processing in the presence of both vascular burden and pure-tone average may not be related to brain volumes and white matter microstructure. Longitudinal follow-up is needed to explore these relationships thoroughly.

Hearing loss and microstructural integrity of the brain in a dementia-free older population.

INTRODUCTION: As hearing loss has been identified as an important risk factor for dementia, we aimed to assess the association between hearing loss and microstructural integrity of the brain. METHODS: A total of 1086 dementia-free participants (mean age = 75.2 [standard deviation: 4.9], 61.4% female) of the population-based Atherosclerosis Risk in Communities (ARIC) study underwent hearing assessment (2016-2017) and magnetic resonance imaging of the brain (2011-2013). Microstructural integrity was determined with diffusion tensor imaging. Multivariable linear regression was used to investigate associations between hearing loss and microstructural integrity of different brain regions and white matter (WM) tracts. RESULTS: Hearing loss was associated with lower WM microstructural integrity in the temporal lobe, lower gray matter integrity of the hippocampus, and with lower WM microstructural integrity of the limbic tracts and the uncinate fasciculus. CONCLUSION: Our results demonstrate that hearing loss is indepedently associated with lower microstructural integrity in brain regions that are important for different cognitive processes.

Discrimination of degrees of auditory performance from the digits-in-noise test based on hearing status.

OBJECTIVE: To discriminate among degrees of auditory performance of the Digits-in-Noise (DIN) test. DESIGN: We performed Pearson's correlations and age- and sex-adjusted linear regression models to examine the correlation between pure-tone average (PTA) from pure-tone audiometric tests and speech recognition thresholds (SRT) from the DIN test. Then, optimal SRT cut-points by PTA-defined hearing status (0-25 dB HL [normal], 26-40 dB HL [mild hearing loss], 41-50 dB HL [moderate hearing loss]) were compared across three methods: Youden, Nearest, and Liu. SRT-defined categories of auditory performance were compared to PTA-defined hearing categories to examine the convergence of similar categories. Study Sample: 3422 Rotterdam Study participants aged 51-98 years between 2011 and 2014. RESULTS: The correlation between SRT and PTA was 0.65 (95% Confidence Interval: 0.63, 0.67) in the overall sample. The variability of SRT explained by PTA after age and sex adjustment was 54%. Optimal cut-points for the overall sample across the three methods were: ≤ -5.55 dB SNR (normal); > -5.55 to ≤ -3.80 dB SNR (insufficient performance); > -3.80 dB SNR (poor performance). When comparing the SRT- or PTA-defined categories, 59.8% had concordant hearing categories and 40.2% had discordant hearing categories. CONCLUSIONS: Discrimination of degrees of auditory performance may add greater utility of the DIN test.

Carotid Atherosclerosis Is Associated With Poorer Hearing in Older Adults.

OBJECTIVES: Cardiovascular disease may be linked to hearing loss through narrowing of the nutrient arteries of the cochlea, but large-scale population-based evidence for this association remains scarce. We investigated the association of carotid atherosclerosis as a marker of generalized cardiovascular disease with hearing loss in a population-based cohort. DESIGN: Cross-sectional. SETTING: A population-based cohort study. PARTICIPANTS: 3724 participants [mean age: 65.5 years, standard deviation (SD): 7.5, 55.4% female]. METHODS: Ultrasound and pure-tone audiograms to assess carotid atherosclerosis and hearing loss. RESULTS: We investigated associations of carotid plaque burden and carotid intima-media thickness (IMT) (overall and side-specific carotid atherosclerosis) with hearing loss (in the best hearing ear and side-specific hearing loss) using multivariable linear and ordinal regression models. We found that higher maximum IMT was related to poorer hearing in the best hearing ear [difference in decibel hearing level per 1-mm increase in IMT: 2.09 dB, 95% confidence interval (CI): 0.08, 4.10]. Additionally, third and fourth quartile plaque burden as compared to first quartile was related to poorer hearing in the best hearing ear (difference: 1.06 dB, 95% CI: 0.04, 2.08; and difference: 1.55 dB, 95% CI: 0.49, 2.60, respectively). Larger IMT (difference: 2.97 dB, 95% CI: 0.79, 5.14), third quartile plaque burden compared to first quartile (difference: 1.24 dB, 95% CI: 0.14, 2.35), and fourth plaque quartile compared to first quartile (difference: 2.12 dB, 95% CI: 0.98, 3.26) in the right carotid were associated with poorer hearing in the right ear. CONCLUSIONS AND IMPLICATIONS: Carotid atherosclerosis is associated with poorer hearing in older adults, almost exclusively with poorer hearing in the right ear. Based on our results, it seems that current therapies for the prevention of cardiovascular disease may also prove beneficial for hearing loss in older adults by promoting and maintaining inner ear health.

Body Composition Is Not Related to Structural or Vascular Brain Changes.

Background: It is known that obesity [measured with body mass index (BMI)] relates to brain structure and markers of cerebral small vessel disease (CSVD). However, BMI may not adequately represent body composition. Furthermore, whether those cross-sectional associations hold longitudinally remains uncertain. Methods: Three thousand six hundred and fourty-eight participants underwent baseline (2006-2014) dual-energy X-ray absorptiometry (DXA)-scan to obtain detailed measures of body composition and a magnetic resonance imaging (MRI) scan to assess brain structure. One thousand eight hundred and fourty-four participants underwent a second MRI-scan at follow-up (2010-2017; median follow-up: 5.5 years). To assess cross-sectional and longitudinal associations (measures of change have been calculated) between body composition [BMI, fat mass index (FMI), fat-free mass index (FFMI)], and brain tissue volume (gray matter, white matter, hippocampus), white matter microstructure [fractional anisotropy (FA), mean diffusivity (MD)], and CSVD markers (white matter hyperintensity volume, lacunes, microbleeds) we used multivariable linear and logistic regression models. Results: A higher BMI and FMI were cross-sectionally associated with smaller white matter volumes (difference in Z-score per SD higher BMI: -0.064 [95% CI: -0.094, -0.035]) and FMI: -0.067 [95% CI: -0.099, -0.034], higher FA and MD. A higher FFMI was associated larger gray matter volume (difference: 0.060 [95% CI: 0.018, 0.101]). There was no statistically significant or clinically relevant association between body composition and brain changes. Conclusions: Body composition, distinguishing between fat mass and fat-free mass, does not directly influence changes in brain tissue volume, white matter integrity and markers of CSVD. Cross-sectional associations between body composition and brain tissue volume likely reflect cumulative risk or shared etiology.

The association between obesity, diet quality and hearing loss in older adults.

BACKGROUND: With the aging population, the prevalence of age-related hearing loss will increase substantially. Prevention requires more knowledge on modifiable risk factors. Obesity and diet quality have been suggested to play a role in the etiology of age-related hearing loss. We aimed to investigate independent associations of body composition and diet quality with age-related hearing loss. METHODS: We performed cross-sectional and longitudinal analyses (follow-up: 4.4 years) in the population-based Rotterdam Study. At baseline (2006-2014), 2,906 participants underwent assessment of body composition, diet, and hearing. Of these 2,906 participants, 636 had hearing assessment at follow-up (2014-2016). Association of body composition and of diet quality with hearing loss were examined using multivariable linear regression models. RESULTS: Cross-sectionally, higher body mass index and fat mass index were associated with increased hearing thresholds. These associations did not remain statistically significant at follow-up. We found no associations between overall diet quality and hearing thresholds. CONCLUSIONS: This study shows that a higher body mass index, and in particular a higher fat mass index, is related to age-related hearing loss. However, whether maintaining a healthy body composition may actually reduce the effects of age-related hearing loss in the aging population requires further longitudinal population-based research.

Subjective Cognitive Decline Is Associated with Greater White Matter Hyperintensity Volume.

BACKGROUND: Research in older adults with subjective cognitive decline (SCD) has mainly focused on Alzheimer's disease (AD)-related MRI markers, such as hippocampal volume. However, small vessel disease (SVD) is currently established as serious comorbidity in dementia and its preliminary stages. It is therefore important to examine SVD markers in addition to AD markers in older adults presenting with SCD. OBJECTIVE: The aim of our study was to elucidate the role of SVD markers in late middle-aged to older adults with and without SCD in addition to the commonly found role of AD markers (hippocampal volume). METHODS: 67 healthy late middle-aged to older adults participated in this study (mean age 68 years); 25 participants with SCD and 42 participants without SCD. We evaluated quantitative as well as qualitative AD markers (i.e., hippocampal volume and medial temporal lobe atrophy (MTA) scale) and SVD markers (i.e., white matter hyperintensities (WMH) volume, Fazekas scale, microbleeds, and lacunar infarcts), and neuropsychological function and amount of memory complaints. RESULTS: We found a significant effect of SCD on hippocampal atrophy, as assessed using the MTA scale, but not on hippocampal volume. In addition, we found a significant effect of SCD, and amount of memory complaints, on WMH volume and Fazekas score, suggesting larger WMH volumes in participants with SCD. CONCLUSION: SVD MRI markers are related to amount of memory complaints, in addition to the commonly observed AD MRI markers, as demonstrated by the greater WMHs in healthy late middle-aged to older adults with SCD.

Better diet quality relates to larger brain tissue volumes: The Rotterdam Study.

OBJECTIVE: To investigate the relation of diet quality with structural brain tissue volumes and focal vascular lesions in a dementia-free population. METHODS: From the population-based Rotterdam Study, 4,447 participants underwent dietary assessment and brain MRI scanning between 2005 and 2015. We excluded participants with an implausible energy intake, prevalent dementia, or cortical infarcts, leaving 4,213 participants for the current analysis. A diet quality score (0-14) was calculated reflecting adherence to Dutch dietary guidelines. Brain MRI was performed to obtain information on brain tissue volumes, white matter lesion volume, lacunes, and cerebral microbleeds. The associations of diet quality score and separate food groups with brain structures were assessed using multivariable linear and logistic regression. RESULTS: We found that better diet quality related to larger brain volume, gray matter volume, white matter volume, and hippocampal volume. Diet quality was not associated with white matter lesion volume, lacunes, or microbleeds. High intake of vegetables, fruit, whole grains, nuts, dairy, and fish and low intake of sugar-containing beverages were associated with larger brain volumes. CONCLUSIONS: A better diet quality is associated with larger brain tissue volumes. These results suggest that the effect of nutrition on neurodegeneration may act via brain structure. More research, in particular longitudinal research, is needed to unravel direct vs indirect effects between diet quality and brain health.