Obesity and musculoskeletal pain are strongly related, but there is emerging evidence that body fat, not body weight, may be a better indicator of risk. There is, therefore, a need to determine if body fat is associated with musculoskeletal pain as it may improve management strategies. The aim of this systematic review was to investigate the association between body fat and musculoskeletal pain. Seven electronic databases were searched from inception to 8th January 2018. Cross-sectional and longitudinal studies investigating the association between measures of body fat and musculoskeletal pain were included. All included articles were assessed for methodological rigour using the Epidemiology Appraisal Instrument. Standardised mean differences (SMDs) and effect estimates were pooled for meta-analysis. A total of 10,221 citations were identified through the database searching, which after abstract and full-text review, yielded 28 unique articles. Fourteen studies were included in the meta-analyses, which found significant cross-sectional associations between total body fat mass and widespread pain (SMD 0.49, 95% CI 0.37–0.61, p < 0.001). Individuals with low-back pain and knee pain had a higher body fat percentage than asymptomatic controls (SMD 0.34, 95% CI 0.17–0.52, p < 0.001 and SMD 0.18, 95% CI 0.05–0.32, p = 0.009, respectively). Fat mass index was significantly, albeit weakly, associated with foot pain (SMD 0.05, 95% CI 0.03–0.06, p < 0.001). Longitudinal studies (n = 8) were unsuitable for meta-analysis, but were largely indicative of elevated body fat increasing the risk of incident and worsening joint pain. There was conflicting evidence for an association between body fat percentage and incident low-back pain (3 studies, follow-up 4–20 years). Increasing knee pain (1 study) and incident foot pain (2 studies) were positively associated with body fat percentage and fat mass index. The percentage of items in the EAI graded as ‘yes’ for each study ranged from 23 to 85%, indicating variable methodological quality of the included studies. This systematic review and meta-analysis identified positive cross-sectional associations between increased body fat and widespread and single-site joint pain in the low-back, knee and foot. Longitudinal studies suggest elevated body fat may infer increased risk of incident and worsening joint pain, although further high-quality studies are required.

Background: Mobile health apps are increasingly used as early intervention to support behavior change for diabetes prevention and control, with the overarching goal of lowering the overall disease burden. Objective: This prospective cohort study conducted in Singapore aimed to investigate app engagement features and their association with weight loss and improved glycemic control among adults with diabetes and prediabetes from the intervention arm of the Diabetes Lifestyle Intervention using Technology Empowerment randomized controlled trial. Methods: Diabetes and prediabetes participants (N=171) with a median age of 52 years, BMI of 29.3 kg/m2, and glycated hemoglobin (HbA1c) level of 6.5% and who were being assigned the Nutritionist Buddy Diabetes app were included. Body weight and HbA1c were measured at baseline, 3 months, and 6 months. A total of 476,300 data points on daily app engagement were tracked via the backend dashboard and developer’s report. The app engagement data were analyzed by quartiles and weekly means expressed in days per week. Linear mixed model analysis was used to determine the associations between the app engagements with percentage weight and HbA1c change. Results: The median overall app engagement rate was maintained above 90% at 6 months. Participants who were actively engaged in ≥5 app features were associated with the greatest overall weight reduction of 10.6% from baseline (mean difference −6, 95% CI −8.9 to −3.2; P<.001) at 6 months. Adhering to the carbohydrate limit of >5.9 days per week and choosing healthier food options for >4.3 days per week had the most impact, eliciting weight loss of 9.1% (mean difference −5.2, 95% CI −8.2 to −2.2; P=.001) and 8.8% (mean difference −4.2, 95% CI −7.1 to −1.3; P=.005), respectively. Among the participants with diabetes, those who had a complete meal log for >5.1 days per week or kept within their carbohydrate limit for >5.9 days per week each achieved greater HbA1c reductions of 1.2% (SD 1.3%; SD 1.5%), as compared with 0.2% (SD 1%; SD 0.6%). in the reference groups who used the features <1.1 or ≤2.5 days per week, respectively. Conclusions: Higher app engagement led to greater weight loss and HbA1c reduction among adults with overweight or obesity with type 2 diabetes or prediabetes. Trial Registration: Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12617001112358; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12617001112358

Purpose: Pre-frailty and frailty in older adults are associated with poor health outcomes and increase health-care costs, and further worsening during hospitalization. This study aimed to examine the effect of an individualized hospital to home, exercise-nutrition self-managed intervention for pre-frail and frail hospitalized older adults. Patients and Methods: Older adults admitted to an acute medical unit of a tertiary hospital in South Australia who were pre-frail or frail were recruited from September 2020 to June 2021, randomized to either control or intervention group and followed up at 3 and 6 months. The outcome variables were program adherence, frailty status by the Edmonton Frail Scale (EFS) score, lower extremity physical function, handgrip strength, nutritional status, cognition, mood, health-related quality of life, risk of functional decline, unplanned readmissions. Results: Participants were 79.2 ± 6.6 years old, 63% female, mostly frail (67%), with EFS of 8.6± 1.9. Adherence to the inpatient and home visits/telehealth intervention were high (91± 13% and 92± 21%, respectively). Intention-to-treat analysis using linear regression models showed that participants in the intervention group had significantly greater reduction in EFS at 3 (− 3.0; 95% CI: − 4.8 to − 3.0) and 6 months (− 2.5; 95% CI: − 3.8 to − 1.0, P< 0.001 for both) compared to the control group; particularly the functional performance component. There were also improvements in overall Short Physical Performance Battery score at 3 (4.0; 95% CI: 1.3 to 6.6) and 6 months (3.9; 95% CI: 1.0 to 6.9, P< 0.05 for both), mini-mental state examination (2.6; 95% 0.3– 4.8, P=0.029) at 3 months and handgrip strength (3.7; 95% CI: 0.2– 7.1, P=0.039) and Geriatric Depression Scale, at 6 months (− 2.2; 95% CI: − 4.1 to − 0.30, P=0.026) in the intervention group as compared to control. Conclusion: This study provided evidence of acceptability to a patient self-managed exercise-nutrition program that may benefit and alleviate pre-frailty and frailty in hospitalised older adults.

Objective: To determine, first, if fat mass index (FMI) or fat‐free mass index (FFMI) and serum adipokines tumor necrosis factor (TNF) and interleukin‐6 (IL‐6) are associated with prevalent (stage 2) foot pain, and, second, if they are predictive of future (stage 3) foot pain.Methods: A subset of participants ages ≥50 years (n = 1,462) from the North West Adelaide Health Study were used for this study. Participants from this community cohort were asked in stage 2 (2004–2006) and stage 3 (2008–2010) if they had foot pain, aching, or stiffness. In stage 2, serum adipokines and anthropometry were measured, while body composition was analyzed with dual x‐ray absorptiometry. These variables, along with comorbidities and social history, were used in logistic regression analyses to determine if FMI, FFMI, and serum adipokines were associated with foot pain.Results: Prevalent foot pain was present in 20.2% of participants, and future foot pain in 36.4%. Following multivariate modeling, the odds of having pain at stage 2 increased by 8% for each FMI unit (odds ratio [OR] 1.08, 95% confidence interval [95% CI] 1.04–1.12), while the odds of having pain at stage 3 increased by 6% for each FMI unit at stage 2 (OR 1.06, 95% CI 1.02–1.11). TNF level, IL‐6 level, and FFMI were not associated with pain.Conclusion: Increased FMI, but not body mass index, FFMI, or TNF or IL‐6 level, was associated with both prevalent and future foot pain. These results suggest that body fat may be more important than body weight with respect to foot pain. The role played by other adipokines requires further investigation.

Malnutrition is common in older adults and often goes unrecognised and untreated. Australian evidence-based guidelines for the management of malnutrition indicate that only the Mini Nutritional Assessment short form (MNA-sf) and Rapid Screen are recommended for use as malnutrition screening tools in the rehabilitation setting. The aim of this secondary analysis was to assess the validity and reliability of two malnutrition screening tools, validated in other adult sub-groups, in a rehabilitation population aged ≥60 years. The Council on Nutrition Appetite Questionnaire (CNAQ) and the Simplified Nutritional Appetite Questionnaire (SNAQ), were completed by 185 ambulatory rehabilitation patients (48% male; median age 78 years) and results compared to the full MNA as a reference technique. Prevalence of risk of malnutrition was 63% according to the MNA. For identification of risk of malnutrition the CNAQ had sensitivity of 54%, specificity 81%, positive predictive value 83% and negative predictive value 51%, compared to 28%, 94%, 89% and 44%, respectively, using SNAQ. Assessment of reliability indicated significant slight to fair agreement between MNA with CNAQ (κ = 0.309, p < 0.001) and SNAQ (κ = 0.176, p < 0.001). Neither the CNAQ nor the SNAQ have a high level of validity or reliability in this elderly population and are therefore not recommended for use in the ambulatory rehabilitation setting. Further work is necessary to assess the validity and reliability of other malnutrition screening tools to establish their usefulness in this population.