Protein intake, physical activity and grip strength in European and North American community-dwelling older adults: a pooled analysis of individual participant data from four longitudinal ageing cohorts.

INTRODUCTION: Higher dietary protein, alone or in combination with physical activity (PA), may slow the loss of age-related muscle strength in older adults. We investigated the longitudinal relationship between protein intake and grip strength, and the interaction between protein intake and PA, using four longitudinal ageing cohorts. METHODS: Individual participant data from 5584 older adults (52% women; median: 75, IQR: 71.6, 79.0 years) with up to 8.5 years (mean: 4.9, SD: 2.3 years) of follow-up from the Health ABC, NuAge, LASA and Newcastle 85+ cohorts were pooled. Baseline protein intake was assessed with food frequency questionnaires and 24h recalls and categorized into <0.8, 0.8-<1.0, 1.0-<1.2 and ≥1.2 g/kg adjusted body weight (aBW)/d. The prospective association between protein intake, its interaction with PA, and grip strength (sex- and cohort-specific) was determined using joint models (hierarchical linear mixed effects and a link function for Cox proportional hazards models). RESULTS: Grip strength declined on average by 0.018 SD (95%CI: -0.026, -0.006) every year. No associations were found between protein intake, measured at baseline, and grip strength, measured prospectively, or rate of decline of grip strength in models adjusted for sociodemographic, anthropometric, lifestyle and health variables (e.g., protein intake ≥1.2 vs <0.8 g/kg aBW/d: ß= -0.003, 95%CI: -0.014,0.005 SD per year). There also was no evidence of an interaction between protein intake and PA. CONCLUSIONS: We failed to find evidence in this study to support the hypothesis that higher protein intake, alone or in combination with higher PA, slowed the rate of grip strength decline in older adults.

Low protein intake, physical activity, and physical function in European and North American community-dwelling older adults: a pooled analysis of four longitudinal aging cohorts.

BACKGROUND: Dietary protein may slow the decline in muscle mass and function with aging, making it a sensible candidate to prevent or modulate disability progression. At present, studies providing reliable estimates of the association between protein intake and physical function, and its interaction with physical activity (PA), in community-dwelling older adults are lacking. OBJECTIVES: We investigated the longitudinal relation between protein intake and physical function, and the interaction with PA. METHODS: We undertook a pooled analysis of individual participant data from cohorts in the PROMISS (PRevention Of Malnutrition In Senior Subjects in the European Union) consortium (the Health Aging and Body Composition Study, Quebec Longitudinal Study on Nutrition and Successful Aging, Longitudinal Aging Study Amsterdam, and Newcastle 85+) in which 5725 community-dwelling older adults were followed up to 8.5 y. The relation between protein intake and walking speed was determined using joint models (linear mixed-effects and Cox proportional hazards models) and the relation with mobility limitation was investigated using multistate models. RESULTS: Higher protein intake was modestly protective of decline in walking speed in a dose-dependent manner [e.g., protein intake ≥1.2 compared with 0.8 g/kg adjusted body weight (aBW)/d: ß = 0.024, 95% CI: 0.009, 0.032 SD/y], with no clear indication of interaction with PA. Participants with protein intake ≥0.8 g/kg aBW/d had also a lower likelihood of incident mobility limitation, which was observed for each level of PA. This association seemed to be dose-dependent for difficulty walking but not for difficulty climbing stairs. No associations between protein intake and other mobility limitations transitions were observed. CONCLUSIONS: Higher daily protein intake can reduce physical function decline not only in older adults with protein intake below the current RDA of 0.8 g/kg BW/d, but also in those with a protein intake that is already considered sufficient. This dose-dependent association was observed for each level of PA, suggesting no clear synergistic association between protein intake and PA in relation to physical function.

Prevalence of protein intake below recommended in community-dwelling older adults: a meta-analysis across cohorts from the PROMISS consortium.

BACKGROUND: Lower protein intake in older adults is associated with loss of muscle mass and strength. The present study aimed to provide a pooled estimate of the overall prevalence of protein intake below recommended (according to different cut-off values) among community-dwelling older adults, both within the general older population and within specific subgroups. METHODS: As part of the PRevention Of Malnutrition In Senior Subjects in the EU (PROMISS) project, a meta-analysis was performed using data from four cohorts (from the Netherlands, UK, Canada, and USA) and four national surveys [from the Netherlands, Finland (two), and Italy]. Within those studies, data on protein and energy intake of community-dwelling men and women aged ≥55 years were obtained by either a food frequency questionnaire, 24 h recalls administered on 2 or 3 days, or food diaries administered on 3 days. Protein intake below recommended was based on the recommended dietary allowance of 0.8 g/kg body weight (BW)/d, by using adjusted BW (aBW) instead of actual BW. Cut-off values of 1.0 and 1.2 were applied in additional analyses. Prevalences were also examined for subgroups according to sex, age, body mass index (BMI), education level, appetite, living status, and recent weight loss. RESULTS: The study sample comprised 8107 older persons. Mean ± standard deviation protein intake ranged from 64.3 ± 22.3 (UK) to 80.6 ± 23.7 g/d [the Netherlands (cohort)] or from 0.94 ± 0.38 (USA) to 1.17z ± 0.30 g/kg aBW/d (Italy) when related to BW. The overall pooled prevalence of protein intake below recommended was 21.5% (95% confidence interval: 14.0-30.1), 46.7% (38.3-55.3), and 70.8% (65.1-76.3) using the 0.8, 1.0, and 1.2 cut-off value, respectively. A higher prevalence was observed among women, individuals with higher BMI, and individuals with poor appetite. The prevalence differed only marginally by age, education level, living status, and recent weight loss. CONCLUSIONS: In community-dwelling older adults, the prevalence of protein intake below the current recommendation of 0.8 g/kg aBW/d is substantial (14-30%) and increases to 65-76% according to a cut-off value of 1.2 g/kg aBW/d. To what extent the protein intakes are below the requirements of these older people warrants further investigation.

Food avoidance in patients with inflammatory bowel disease: What, when and who?

BACKGROUND & AIMS: Patients with inflammatory bowel diseases avoid a variety of foods. However, it remains unclear how this behavior varies across patients. This cross-sectional study investigated how the food avoidance pattern in inflammatory bowel disease varies according to disease's activity, disease's subtype, Crohn's location, and prior history of bowel resection, strictures, and fistulae. METHODS: Outpatients with Crohn's disease (n = 173) and ulcerative colitis (n = 72) reported which food they avoid when they perceive they are in remission or in active disease using a list of 82 food items classified in 10 categories. Medical charts were reviewed for patients' characteristics. Linear regression analyses were used to compare food exclusion rates between patients' subgroups and food categories. RESULTS: During remission, food exclusion rates varied from 1 to 39%. Most avoided foods were those with capsaicin, meat alternatives, and raw vegetables. Overall, food exclusion rates were 38% higher in Crohn's disease than ulcerative colitis (P < 0.001), and 50% higher in stricturing than non-stricturing Crohn's disease (P < 0.001). During active disease, food exclusion rates were 69% higher than in remission (P < 0.001). Similar differences between subgroups were again observed during active disease though less noticeable than in remission. No association was found with other disease characteristics. Avoided foods were very similar across patients except for alcoholic beverages and foods rich in dietary fibers/residue, which were avoided more specifically during active disease and in Crohn's disease, respectively. CONCLUSIONS: Food avoidance is common among patients with inflammatory bowel diseases, and most particularly in those with stricturing Crohn's disease. Specificities in avoidance pattern suggest that the clinical response to dietary restrictions may differ according to the disease's characteristics.

Increase in Psychoactive Drug Prescriptions in the Years Following Autism Spectrum Diagnosis: A Population-Based Cohort Study.

BACKGROUND: Psychoactive medications are commonly prescribed to autistic individuals, but little is known about how their use changes after diagnosis. OBJECTIVES: This study describes the use of psychoactive drugs in children and young adults newly diagnosed with autism spectrum, between the year before and up to 5 years after diagnosis. METHODS: Multivariable logistic regression was used to examine the relationship between the use psychoactive drugs before the first diagnosis of autism spectrum condition (from 1998 to 2010), and the clinical and demographic characteristics, identified from public health care databases in Quebec. The types of drugs prescribed and psychoactive polypharmacy were evaluated over 5 years of follow-up. Generalized estimating equations (GEE) were used to examine the association of age and time with the use of psychoactive drugs. RESULTS: In our cohort of 2,989 individuals, diagnosis of another psychiatric disorder before autism spectrum strongly predicted psychoactive drug use. We observed that the proportion of users of psychoactive drugs increased from 35.6% the year before, to 53.2% 5 years after the autism spectrum diagnosis. Psychoactive polypharmacy (≥2 psychoactive drug classes) also increased from 9% to 22% in that time. Age and time since diagnosis strongly associated with the types and combinations of psychoactive drugs prescribed. CONCLUSIONS: Psychoactive drug use and polypharmacy increases substantially over time after autism spectrum disorder diagnosis in children.