Tracking of Cardiorespiratory Fitness from Childhood to Mid-adulthood.

High cardiorespiratory fitness (CRF) in adulthood is important for survival from major chronic diseases and preserving good health. We examined how childhood CRF tracks, or persists, into adulthood. Among a cohort of 748 school children followed over 34 years, we found child CRF correlated with young- (r = 0.30) and mid-adulthood (r = 0.16) CRF.

Association between knee magnetic resonance imaging markers and knee symptoms over 6-9 years in young adults.

OBJECTIVES: To describe associations between MRI markers with knee symptoms in young adults. METHODS: Knee symptoms were assessed using the WOMAC scale during the Childhood Determinants of Adult Health Knee Cartilage study (CDAH-knee; 2008-2010) and at the 6- to 9-year follow-up (CDAH-3; 2014-2019). Knee MRI scans obtained at baseline were assessed for morphological markers (cartilage volume, cartilage thickness, subchondral bone area) and structural abnormalities [cartilage defects and bone marrow lesions (BMLs)]. Univariable and multivariable (age, sex, BMI adjusted) zero-inflated Poisson (ZIP) regression models were used for analysis. RESULTS: The participants' mean age in CDAH-knee and CDAH-3 were 34.95 (s.d. 2.72) and 43.27 (s.d. 3.28) years, with 49% and 48% females, respectively. Cross-sectionally, there was a weak but significant negative association between medial femorotibial compartment (MFTC) [ratio of the mean (RoM) 0.99971084 (95% CI 0.9995525, 0.99986921), P < 0.001], lateral femorotibial compartment (LFTC) [RoM 0.99982602 (95% CI 0.99969915, 0.9999529), P = 0.007] and patellar cartilage volume [RoM 0.99981722 (95% CI 0.99965326, 0.9999811), P = 0.029] with knee symptoms. Similarly, there was a negative association between patellar cartilage volume [RoM 0.99975523 (95% CI 0.99961427, 0.99989621), P = 0.014], MFTC cartilage thickness [RoM 0.72090775 (95% CI 0.59481806, 0.87372596), P = 0.001] and knee symptoms assessed after 6-9 years. The total bone area was negatively associated with knee symptoms at baseline [RoM 0.9210485 (95% CI 0.8939677, 0.9489496), P < 0.001] and 6-9 years [RoM 0.9588811 (95% CI 0.9313379, 0.9872388), P = 0.005]. The cartilage defects and BMLs were associated with greater knee symptoms at baseline and 6-9 years. CONCLUSION: BMLs and cartilage defects were positively associated with knee symptoms, whereas cartilage volume and thickness at MFTC and total bone area were weakly and negatively associated with knee symptoms. These results suggest that the quantitative and semiquantitative MRI markers can be explored as a marker of clinical progression of OA in young adults.

The association of comorbidities with sleep quality among Australians with multiple sclerosis: Insights from the Australian Multiple Sclerosis Longitudinal Study.

BACKGROUND: Comorbidities and poor sleep quality are prevalent among individuals with multiple sclerosis (MS). Our understanding of the effects of comorbidities on sleep quality in MS remains limited. OBJECTIVES: The objectives were to investigate whether the number and presence of specific comorbidities have associations with sleep quality and to assess the relative contribution of comorbidity groups to sleep quality. METHODS: We collected data on sleep quality (using Pittsburgh Sleep Quality Index (PSQI)) and presence of comorbidities in people with MS (n = 1597). Associations between comorbidities and sleep quality were examined using linear regression and dominance analysis. RESULTS: Having more comorbidities was associated with poorer sleep quality (p for trend < 0.001). All 13 groups of comorbidities explained 12.9% of the variance in PSQI from which half of the variance was contributed by mental health disorders. In total, 16 of the 28 comorbidities were associated with significantly worse sleep quality, with the strongest associations seen for 'other autoimmune diseases' (ß = 1.98), depression (ß = 1.76), anxiety (ß = 1.72) and rheumatoid arthritis (ß = 1.62). CONCLUSIONS: Many individual comorbidities are associated with poorer sleep quality, with mental health disorders making the largest relative contribution. Optimal management of comorbidities that make the greatest contributions could have the largest benefit for improving sleep in MS.

Low Sun Exposure Is Associated with Both Progressive-Onset and Relapse-Onset Multiple Sclerosis Risk: A Case-Control Study.

BACKGROUND: Sun exposure has consistently been associated with multiple sclerosis (MS) onset, but case samples are predominantly relapse-onset MS (ROMS), and risk estimates have rarely been reported separately for ROMS and progressive-onset MS (POMS). We aimed to determine whether sun exposure prior to disease onset was associated with POMS and whether the effect differed between POMS and ROMS. METHODS: This nationwide case-control study included 153 POMS cases, 204 incident ROMS cases, and 558 community controls with data from two separate datasets: the PPMS Study (2015-2021) and the Ausimmune Study (2003-2006). Information on time spent in the sun before the first MS symptom, skin phenotype, and sun protection behavior was collected. Satellite data on ambient ultraviolet radiation (UVR) were used to calculate cumulative UVR dose. Unconditional logistic regression was used with adjustment for covariates. RESULTS: There were consistent dose-response associations, with higher levels of UVR exposure associated with a reduced risk of POMS, both for leisure-time and occupational UVR from age 6 to symptom onset. Associations were overall stronger for POMS than ROMS. For example, cumulative leisure-time UVR dose (per 100 kJ/m2 increment) was associated with POMS (aOR 0.93, 95% CI: 0.91-0.95) and the association was slightly weaker for ROMS (aOR 0.96, 95% CI: 0.94-0.99) for age 6 to symptom onset (test for interaction p < 0.001). CONCLUSIONS: Low levels of sun exposure, throughout the whole lifespan, are associated with an increased risk of POMS and ROMS onset. The sun effects are usually stronger for POMS than ROMS.

Is public transport a promising strategy for increasing physical activity? Evidence from a study of objectively measured public transport use and physical activity.

BACKGROUND: Greater public transport use has been linked to higher physical activity levels. However, neither the amount of physical activity associated with each daily public transport trip performed, nor the potential total physical activity gain associated with an increase in trips/day, has been determined. Using objective measures, we aimed to quantify the association between public transport use, physical activity and sedentary time. METHODS: A longitudinal study of Australian adults living in Hobart, Tasmania, who were infrequent bus users (≥ 18 years; used bus ≤ 2 times/week). The number of bus trips performed each day was determined from objective smartcard data provided by the public transportation (bus) provider across a 36-week study timeframe. Accelerometer measured steps/day (primary outcome), moderate-to-vigorous physical activity (min/day), and sedentary time (min/day) were assessed across four separate one-week periods. RESULTS: Among 73 participants across 1483 day-level observations, on days that public transport was used, participants achieved significantly more steps (ß = 2147.48; 95%CI = 1465.94, 2829.03), moderate to vigorous physical activity (ß = 22.79; 95% CI = 14.33, 31.26), and sedentary time (ß = 37.00; 95% CI = 19.80, 54.21) compared to days where no public transport trips were made. The largest increase in steps per day associated with a one-trip increase was observed when the number of trips performed each day increased from zero to one (ß = 1761.63; 95%CI = 821.38, 2701.87). The increase in the number of steps per day was smaller and non-significant when the number of trips performed increased from one to two (ß = 596.93; 95%CI=-585.16, 1779.01), and two to three or more (ß = 632.39; 95%CI=-1331.45, 2596.24) trips per day. Significant increases in sedentary time were observed when the number of trips performed increased from zero to one (ß = 39.38; 95%CI = 14.38, 64.39) and one to two (ß = 48.76; 95%CI = 25.39, 72.12); but not when bus trips increased from two to three or more (ß=-27.81; 95%CI=-76.00, 20.37). CONCLUSIONS: Greater public transport use was associated with higher physical activity and sedentary behaviour. Bus use may yield cumulative increases in steps that amount to 15-30% of the daily recommended physical activity target. A policy and public health focus on intersectoral action to promote public transport may yield meaningful increases in physical activity and subsequent health benefits.

Identification of a novel recurrent EEF2 gene amplification in familial prostate tumors.

Recurrent tumor copy number variations (CNVs) in prostate cancer (PrCa) have predominantly been discovered in sporadic tumor cohorts. Here, we examined familial prostate tumors for novel CNVs as prior studies suggest these harbor distinct CNVs. Array comparative genomic hybridization of 12 tumors from an Australian PrCa family, PcTas9, highlighted multiple recurrent CNVs, including amplification of EEF2 (19p13.3) in 100% of tumors. The EEF2 CNV was examined in a further 26 familial and seven sporadic tumors from the Australian cohort and in 494 tumors unselected for family history from The Cancer Genome Atlas (TCGA). EEF2 overexpression was observed in seven PcTas9 tumors, in addition to seven other predominantly familial tumors (ntotal  = 34%). EEF2 amplification was only observed in 1.4% of TCGA tumors, however 7.5% harbored an EEF2 deletion. Analysis of genes co-expressed with EEF2 revealed significant upregulation of two genes, ZNF74 and ADSL, and downregulation of PLSCR1 in both EEF2 amplified familial tumors and EEF2 deleted TCGA tumors. Furthermore, in TCGA tumors, EEF2 amplification and deletion were significantly associated with a higher Gleason score. In summary, we identified a novel PrCa CNV that was predominantly amplified in familial tumors and deleted in unselected tumors. Our results provide further evidence that familial tumors harbor distinct CNVs, potentially due to an inherited predisposition, but also suggest that regardless of how EEF2 is dysregulated, a similar set of genes involved in key cancer pathways are impacted. Given the current lack of gene-based biomarkers and clinical targets in PrCa, further investigation of EEF2 is warranted.

A pro-inflammatory diet in people with multiple sclerosis is associated with an increased rate of relapse and increased FLAIR lesion volume on MRI in early multiple sclerosis: A prospective cohort study.

BACKGROUND: A pro-inflammatory diet has been posited to induce chronic inflammation within the central nervous system (CNS), and multiple sclerosis (MS) is an inflammatory disease of the CNS. OBJECTIVE: We examined whether Dietary Inflammatory Index (DII®)) scores are associated with measures of MS progression and inflammatory activity. METHODS: A cohort with a first clinical diagnosis of CNS demyelination was followed annually (10 years, n = 223). At baseline, 5- and 10-year reviews, DII and energy-adjusted DII (E-DIITM) scores were calculated (food frequency questionnaire) and assessed as predictors of relapses, annualised change in disability (Expanded Disability Status Scale) and two magnetic resonance imaging measures; fluid-attenuated inversion recovery (FLAIR) lesion volume and black hole lesion volume. RESULTS: A more pro-inflammatory diet was associated with a higher relapse risk (highest vs. lowest E-DII quartile: hazard ratio = 2.24, 95% confidence interval (CI) = -1.16, 4.33, p = 0.02). When we limited analyses to those assessed on the same manufacturer of scanner and those with a first demyelinating event at study entry (to reduce error and disease heterogeneity), an association between E-DII score and FLAIR lesion volume was evident (ß = 0.38, 95% CI = 0.04, 0.72, p = 0.03). CONCLUSION: There is a longitudinal association between a higher DII and a worsening in relapse rate and periventricular FLAIR lesion volume in people with MS.

trips4health: a single-blinded randomised controlled trial incentivising adult public transport use for physical activity gain.

BACKGROUND: Public transport users tend to accumulate more physical activity than non-users; however, whether physical activity is increased by financially incentivising public transport use is unknown. The trips4health study aimed to determine the impact of an incentive-based public transport intervention on physical activity. METHODS: A single-blinded randomised control trial of a 16-week incentive-based intervention involved Australian adults who were infrequent bus users (≥ 18 years; used bus ≤ 2 times/week) split equally into intervention and control groups. The intervention group were sent weekly motivational text messages and awarded smartcard bus credit when targets were met. The intervention group and control group received physical activity guidelines. Accelerometer-measured steps/day (primary outcome), self-reported transport-related physical activity (walking and cycling for transport) and total physical activity (min/week and MET-min/week) outcomes were assessed at baseline and follow-up. RESULTS: Due to the COVID pandemic, the trial was abandoned prior to target sample size achievement and completion of all assessments (N = 110). Steps/day declined in both groups, but by less in the intervention group [-557.9 steps (-7.9%) vs.-1018.3 steps/week (-13.8%)]. In the intervention group, transport-related physical activity increased [80.0 min/week (133.3%); 264.0 MET-min/week (133.3%)] while total physical activity levels saw little change [35.0 min/week (5.5%); 25.5 MET-min/week (1.0%)]. Control group transport-related physical activity decreased [-20.0 min/week (-27.6%); -41.3 MET-min/week (-17.3%)], but total physical activity increased [260.0 min/week (54.5%); 734.3 MET-min/week (37.4%)]. CONCLUSION: This study found evidence that financial incentive-based intervention to increase public transport use is effective in increasing transport-related physical activity These results warrant future examination of physical activity incentives programs in a fully powered study with longer-term follow-up. TRIAL REGISTRATION: This trial was registered with the Australian and New Zealand Clinical Trials Registry August 14th, 2019: ACTRN12619001136190; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=377914&isReview=true.

Association of body mass index from childhood to mid-adulthood with health-related quality of life in mid-adulthood.

PURPOSE: Most studies regarding the association of obesity with health-related quality of life (HRQoL) have assessed obesity at only one or two time points. We aimed to examine the associations of life course body mass index (BMI) from childhood with health-related quality of life (HRQoL) in mid-adulthood. METHODS: Data were from a cohort study of Australian children (n = 2254, mean baseline age 12.0 (2.0) years in 1985, 46.8% male). Weight and height were measured at baseline and measured or self-reported on average 20, 25, and 30 years later. Age and sex-standardised BMI-z score was calculated at each time point. Physical and mental HRQoL and health state utilities (HSUs) were measured by SF-12 and SF-6D at the last adult follow-up. Linear regression was used to examine the associations adjusting for age, sex, and childhood health status. RESULTS: Higher BMI-z score in childhood (ßadjusted - 1.39, 95% CI - 1.73 to - 1.05) and increasing BMI-z score from childhood to young adulthood (ßadjusted - 1.82, 95% CI - 2.17 to - 1.46) and from young to mid-adulthood (ßadjusted - 1.77, 95% CI - 2.28 to - 1.26) were associated with lower physical HRQoL in mid-adulthood. Similar results were found for mid-adulthood HSUs (ßadjusted ranged - 0.006 to - 0.014, all P < 0.05). Only increasing BMI-z score from young to mid-adulthood significantly related to poorer mental HRQoL (ßadjusted - 0.74, 95% CI - 1.29 to - 0.19) in mid-adulthood. CONCLUSION: High BMI from childhood to mid-adulthood had only modest associations with HRQoL and HSUs, with effects on physical HRQoL most apparent.

Tracking handgrip strength asymmetry from childhood to mid-life.

AIM: Determine if asymmetric handgrip strength exists in childhood and adulthood and quantify the degree of tracking of handgrip strength asymmetry over time. METHODS: Participants from the Childhood Determinants of Adult Health Study had their right and left handgrip strength measured using handgrip dynamometry in childhood (1985: 9-15 y), young adulthood (2004-06: 26-36 y) and/or mid-adulthood (2014-19: 36-49 y). Handgrip strength asymmetry was calculated as: strongest handgrip strength/strongest handgrip strength on the other hand. Participants were categorised based on the degree of their asymmetry (0.0%-10.0%, 10.1%-20.0%, 20.1%-30.0%, >30.0%). Tracking was quantified using Spearman's correlations and log binomial regression. RESULTS: Handgrip strength asymmetry was present in childhood and adulthood (>30.0% asymmetry: childhood = 6%, young adulthood = 3%, mid-adulthood = 4%). Handgrip strength asymmetry did not track between childhood and young- (r = 0.06, 95% CI = -0.02, 0.12) and mid-adulthood (r = 0.01, 95% CI = -0.09, 0.10). Tracking was more apparent between young- and mid-adulthood (r = 0.16, 95% CI = 0.09, 0.22). Participants with >30.0% asymmetry were at greater risk to maintain this status between childhood and young- (RR = 3.53, 95% CI = 1.15, 10.87) and mid-adulthood (RR = 2.14, 95% CI = 0.45, 10.20). CONCLUSION: Although handgrip strength asymmetry tracked relatively poorly, asymmetric handgrip strength was apparent in children and adults. Handgrip strength asymmetry does not exclusively affect older adults and should be considered in protocols to better understand its role across the life course.

Risk of subsequent keratinocyte carcinomas after a first diagnosis in Tasmania, Australia.

BACKGROUND/OBJECTIVE: A history of keratinocyte carcinoma (KC) is a risk factor for further KCs, but population-based studies quantifying the risk are lacking in Australia. We aimed to describe the risk of subsequent KCs after first KCs in the Australian state of Tasmania. METHODS: Tasmanian residents identified in the Tasmanian Cancer Registry with a first histologically confirmed basal cell carcinoma (BCC), squamous cell carcinoma (SCC) or synchronous BCC and SCC (within 3 months) between January 1985 and December 2013 were followed up for at least 5 years for the development of a subsequent KC. Cumulative risk, incidence rates and standardised incidence ratios (SIRs) were calculated. RESULTS: Those first diagnosed with BCC-only, SCC-only or synchronous BCC and SCC had (i) 5-year cumulative risks of subsequent KCs of 32%, 29% and 51%, (ii) annualised 5-year incidence rates of 8100/100,000 person-years at risk (PYR), 7747/100,000 PYR and 16,634/100,000 PYR and (iii) SIRs of 10.6 (95% CI: 10.5-10.6), 12.5 (95% CI: 12.4-12.6) and 313.0 (95% CI: 305.2-321.1), respectively. Risk estimates increased substantially when multiple (two or more) lesions of any type were diagnosed synchronously. CONCLUSIONS: In the first Australian population-based study to describe the risk of subsequent KCs according to histological types, around one in three Tasmanians diagnosed with first KCs were diagnosed with subsequent KCs within 5 years. The risk of subsequent KCs was higher among those with a history of multiple synchronous lesions, especially if they included both BCC and SCC lesions.

Increasing incidence and prevalence of multiple sclerosis in the Greater Hobart cohort of Tasmania, Australia.

BACKGROUND: The Greater Hobart region (42.5°S) of Tasmania has consistently had the highest recorded prevalence and incidence rates of multiple sclerosis (MS) in Australia. We reassessed MS epidemiology in 2009-2019 and assessed longitudinal changes over 68 years. METHODS: Cases recruited from clinic-based datasets and multiple other data sources. 2019 prevalence and 2009-2019 annual incidence and mortality rates estimated, and differences assessed using Poisson regression. RESULTS: 436 MS cases resident on prevalence day were identified, and 130 had symptom onset within 2009-2019. Prevalence 197.1/100 000 (95% CI 179.4 to 216.5; 147.2/100 000 age standardised, 95% CI 126.5 to 171.3), a 36% increase since 2001 and 3.1-fold increase since 1961. 2009-2019 incidence rate=5.9/100 000 person-years, 95% CI 5.0 to 7.0 (6.1/1000 000 age standardised, 95% CI 4.7 to 7.9), a 2.8-fold increase since 1951-1961 and 65% since 2001-2009. 2009-2019 mortality rate=1.5/100 000 person-years, 95% CI 1.1 to 2.2 (0.9/100 000 age standardised, 95% CI 0.4 to 1.7), comparable to 2001-2009 (1.0/100 000) but reduced by 61% from 1951 to 1959 (2.1/100 000). 2001-2009 standardised mortality ratio=1.0 in 2009-2019, decreased from 2.0 in 1971-1979. Female:male prevalence sex ratio was 2.8, comparable to the 2009 value (2.6); incidence sex ratio (2.9) increased from 2001 to 9 (2.1). Comparisons with Newcastle, Australia (latitude=32.5°S) demonstrate a near complete abrogation of the latitudinal gradients for prevalence (ratio=1.0) and incidence (ratio=1.1), largely attributable to changing Hobart demography. CONCLUSIONS: Prevalence and incidence of MS continue to increase significantly in Hobart, alongside marked reductions in mortality and increased case longevity. The marked increase in incidence is of particular note and may reflect longstanding changes in MS risk behaviours including changing sun exposure, obesity rates, and smoking behaviours, particularly in females. Falling mortality contributes to increase longevity and prevalence, likely reflecting improved overall MS healthcare and implementation of disease-modifying therapy.

Poor sleep and multiple sclerosis: associations with symptoms of multiple sclerosis and quality of life.

BACKGROUND: Sleep difficulties are common in people with multiple sclerosis (MS), but whether associations between poor sleep quality and quality of life are independent of MS symptoms, obesity and other MS-related factors remains unclear. METHODS: Cross-sectional analyses of data from the Australian MS Longitudinal Study (n=1717). Sleep was assessed using the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale and International Restless Legs Syndrome Study Group Rating Scale; health-related quality of life using the Assessment of Quality-of-Life 8-D. RESULTS: Poor sleep quality was common (67%), and more common than in community samples. Sleep measures clustered independently within MS symptoms. The clusters 'fatigue and cognitive', 'feelings of anxiety and depression', 'pain and sensory', were independently associated with poor sleep quality. Quality-of-Life utility scores were a clinically meaningful 0.19 units lower in those with poor sleep. Sleep quality, daytime sleepiness and restless leg syndrome were associated with reduced quality of life, independent of MS-related symptoms and body mass index. CONCLUSION: Poor sleep quality is common in MS and was strongly associated with worse health-related quality of life, independent of other MS symptoms and did not cluster with other common MS symptoms. Improving sleep quality may substantially improve quality of life in people with MS.

Estimating the impact of work difficulties, work self-efficacy and work psychological safety on MS-related work productivity loss.

BACKGROUND: A comprehensive understanding of factors associated with multiple sclerosis (MS)-related work productivity loss will inform targeted interventions. We have previously shown the strong impact of symptom severity on MS-related work productivity loss. However, the effect of work difficulties, work self-efficacy and work psychological safety is yet to be well evaluated in this context. OBJECTIVES: This study evaluates the association between work difficulties, work self-efficacy and work psychological safety, and MS-related presenteeism, absenteeism and total work productivity loss. METHODS: We analysed data from employed participants of the Australian MS Longitudinal Study (AMSLS) who took part in both the 2015 Medication and Disease Course survey, and 2015 Employment survey (n = 744). Data were analysed using Cragg Hurdle regression models. RESULTS: We found that low workplace self-esteem, interpersonal difficulties at work and work self-efficacy were associated with total work productivity loss. In a multivariable model, a 10-unit decrease in workplace self-esteem, increase in interpersonal difficulties at work and 5-unit increase in work self-efficacy were independently associated with a 3.75% increase, 2.89% increase and 3.36% reduction in total work productivity loss, respectively. When separating total work productivity loss in presenteeism and absenteeism, stronger effects were seen for presenteeism than absenteeism. Surprisingly, work psychological safety was not associated with MS-related work productivity loss. CONCLUSION: Work psychosocial well-being such as self-confidence at work, work self-efficacy and interpersonal difficulties at work are crucial factors governing work productivity in people with MS (PwMS). Multidisciplinary support team assistance of PwMS in symptom self-care, skills around effective communication about MS in the workplace, the psychological impact of work and the modification of work demands may positively influence the employment outcomes.

Long-term trajectories of employment status, workhours and disability support pension status, after a first episode of CNS demyelination.

BACKGROUND: People with multiple sclerosis face significant employment-related challenges, with little known of the drivers of these outcomes. OBJECTIVE: We examined prospective trajectories of employment-related outcomes up to 11 years following a first episode of central nervous system (CNS) demyelination (FCD). METHODS: Participants were aged 18-59 years, at FCD, with at least two observations and were employed at study entry or anytime during follow-up (n = 207). Outcomes were employment status (full-time, part-time and unemployed), average workhours per week and disability support pension (DSP; receiving/not receiving). We used group-based trajectory modelling to identify groups with common trajectories. Factors associated with trajectory membership were explored using log-multinomial regression. RESULTS: Distinct trajectories were identified for employment (4), workhours (4) and DSP (2). Compared with stable full-time, female sex was strongly associated with being in the stable part-time trajectory (risk ratio (RR): 5.35; 95% confidence interval (CI) = 2.56-11.20; p < 0.001). A greater level of disability at 5-year review (RR: 1.35; 95% CI = 1.19-1.53) and having more than two comorbidities at baseline (RR: 2.77; 95% CI = 1.37-5.64) were associated with being in early and late deteriorated employment trajectories, respectively. Compared with the increased part-time trajectory, every additional relapse during the 5 years post-FCD was associated with a 10% increased risk of being in the reduced part-time trajectory (RR = 1.10; 95%CI = 1.00-1.22). For every additional EDSS point at 5-year review, the risk of being in the DSP trajectory increased (RR = 1.21; 95% CI = 1.05-1.41). CONCLUSION: These trajectories indicate substantial heterogeneity and the complex impact of MS on employment from its earliest timepoints. Understanding these trends could enable better targeting of interventions to facilitate workforce retention, particularly for females, those with a higher number of comorbidities, more frequent relapses and greater rate of disability accrual.

Association between diet quality in adolescence and adulthood and knee symptoms in adulthood: a 25-year cohort study.

We aimed to describe associations between diet quality in adolescence and adulthood and knee symptoms in adulthood. Two hundred seventy-five participants had adolescent diet measurements, 399 had adult diet measurements and 240 had diet measurements in both time points. Diet quality was assessed by Dietary Guidelines Index (DGI), reflecting adherence to Australian Dietary Guidelines. Knee symptoms were collected using Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Data were analysed using zero-inflated negative binomial regressions. The overall adolescent DGI was not associated with adult knee symptoms, although lower intake of discretionary foods (e.g. cream, alcohol, bacon and cake) in adolescence was associated with lower pain (mean ratio (MR) 0·96) and dysfunction (MR 0·94). The overall adult DGI was not associated with knee symptoms; however, limiting saturated fat was associated with lower WOMAC (Pain: MR 0·93; stiffness: MR 0·93; dysfunction: MR 0·91), drinking water was associated with lower stiffness (MR 0·90) and fruit intake was associated with lower dysfunction (MR 0·90). Higher DGI for dairy products in adulthood was associated with higher WOMAC (Pain: MR 1·07; stiffness: MR 1·13; dysfunction: MR 1·11). Additionally, the score increases from adolescence to adulthood were not associated with adult knee symptoms, except for associations between score increase in limiting saturated fat and lower stiffness (MR 0·89) and between score increase in fruit intake and lower dysfunction (MR 0·92). In conclusion, the overall diet quality in adolescence and adulthood was not associated with knee symptoms in adulthood. However, some diet components may affect later knee symptoms.

Muscular strength measured across the life-course and the metabolic syndrome.

BACKGROUND AND AIMS: Low muscular strength associates with the metabolic syndrome (MetS). However, how muscular strength measured at different life stages contribute to the development of MetS is unknown. This study compared the contribution of muscular strength measured in youth, young- and mid-adulthood with MetS in midlife. METHODS AND RESULTS: Prospective longitudinal study of 267 Childhood Determinants of Adult Health Study participants who between 1985 and 2019 had measures of muscular strength (dominant grip strength) at three life stages (youth = 9-15 years, young adulthood = 26-36 years, mid-adulthood = 36-49 years) and had their MetS status assessed in mid-adulthood. Bayesian relevant life-course exposure models quantified associations between muscular strength at each life stage with MetS and estimated the maximum accumulated effect of lifelong muscular strength. The contribution of muscular strength at each life stage with MetS was equal (youth = 38%, young adulthood = 28%, mid-adulthood = 34%). A one standard deviation increase in cumulative muscular strength was associated with 46% reduced odds of MetS. Of all MetS components, muscular strength was most strongly negatively associated with high waist circumference. CONCLUSION: A life-course approach demonstrated reduced odds of MetS in midlife was associated with cumulatively high muscular strength since youth. This supports efforts to promote physical fitness throughout life.

Associations between diet quality and DSM-IV mood disorders during young- to mid-adulthood among an Australian cohort.

PURPOSE: Many studies have reported associations between diet and depression, but few have used formal diagnoses of mood disorder as the outcome measure. We examined if overall diet quality was associated cross-sectionally or longitudinally with DSM-IV mood disorders among an adult cohort. METHODS: Participants from the Australian Childhood Determinants of Adult Health study were followed up during 2004-06 (n = 1974, age 26-36 years), 2009-11 (n = 1480, 31-41 years), and 2014-19 (n = 1191, 36-49 years). Dietary Guidelines Index (DGI) scores were calculated from food frequency questionnaires at each time-point (higher DGI reflects better diet quality). DSM-IV mood disorders (dysthymia or depression) during the periods between, and 12 months prior to each follow-up were determined using the Composite International Diagnostic Interview. Sex-stratified risk and prevalence ratios (PR) and 95% confidence intervals (CI) were estimated using log-binomial regression. Covariates included age, self-perceived social support index score, marital status, parenting status, education, occupation, physical activity, BMI, and usual sleep duration. RESULTS: A 10-point higher DGI was cross-sectionally associated with lower prevalence of mood disorders at the third follow-up only (females PR = 0.73, 95% CI = 0.56, 0.95; males PR = 0.72, 95% CI = 0.53, 0.97), but was attenuated after covariate adjustment (females PR = 0.92, 95% CI = 0.73, 1.16; males PR = 0.92, 95% CI = 0.69, 1.22). Adjustment for social support in the final model had attenuated the association for both sexes from 18% reduced prevalence to 8%. DGI scores were not longitudinally associated with mood disorder risk. CONCLUSIONS: Crude cross-sectional associations between diet quality and mood disorders at ages 36-49 years were explained by sociodemographic and lifestyle factors, particularly social support.

Risk factors for leaving employment due to multiple sclerosis and changes in risk over the past decades: Using competing risk survival analysis.

BACKGROUND: No studies have assessed changes in employment survival in multiple sclerosis (MS) populations over recent decades, including the introduction of disease-modifying therapies (DMTs). OBJECTIVES: To evaluate factors associated with leaving employment due to MS; to assess whether the risk of leaving employment has changed over recent decades in Australia, stratified by MS phenotype. METHODS: We included 1240 participants who were working before MS diagnosis. Information on employment status, reasons for leaving employment and year of leaving were collected. Data were analysed using competing risk survival analysis. RESULTS: Males, progressive MS, lower education level and older age at diagnosis were associated with a higher sub-distribution hazard of leaving employment. Compared to the period before 2010, the sub-distribution hazard during 2010-2016 for relapsing-remitting multiple sclerosis (RRMS) was reduced by 43% (sub-distribution hazard ratio (sHR) 0.67, 95% confidence interval (CI): 0.50 to 0.90), while no significant reduction was seen for primary-progressive multiple sclerosis (PPMS) (sHR 1.25, 95% CI: 0.72 to 2.16) or secondary-progressive multiple sclerosis (SPMS) (sHR 1.37, 95% CI: 0.84 to 2.25). CONCLUSION: Males, people with progressive MS and those of lower education level were at higher risk of leaving employment. The differential changed risk of leaving employment between people with different MS phenotype after 2010 coincides with the increased usage of high-efficacy DMTs for RRMS.

Feelings of depression, pain and walking difficulties have the largest impact on the quality of life of people with multiple sclerosis, irrespective of clinical phenotype.

BACKGROUND: The symptoms that have the largest impact on health-related quality of life (HRQoL) in people with multiple sclerosis (MS) may vary by MS phenotype (relapsing-remitting MS (RRMS), secondary progressive MS (SPMS) and primary progressive MS (PPMS)). Knowing these symptoms assists in symptom management. OBJECTIVE: To examine the associations between 13 common MS symptoms and HRQoL in the total sample and stratified by MS phenotype. METHOD: The study included 1985 participants. HRQoL was measured with two multi-attribute utility instruments: assessment of quality of life with eight dimensions (AQoL-8D) and European quality of life with five dimensions and five levels for each dimension (EQ-5D-5L). Multivariable linear regression was used to identify the symptoms that had the largest impact on the HRQoLs. RESULTS: Feelings of depression, pain, fatigue, and feelings of anxiety were most strongly associated with AQoL-8D and EQ-5D-5L. Walking difficulties additionally contributed to reduced EQ-5D-5L. The strongest single predictors in the multivariable analyses were feelings of depression or pain for AQoL-8D and walking difficulties for EQ-5D-5L, irrespective of MS phenotype. CONCLUSION: The strongest single predictors for the AQoL-8D and EQ-5D-5L were feelings of depression, pain and walking difficulties, irrespective of MS phenotype. Reducing these symptoms may have the largest impact on improving HRQoL in all MS phenotypes of people with MS.