The Association of Physical Function Measures With Frailty, Falls History, and Metabolic Syndrome in a Population With Complex Obesity.

Background: Frailty, falls and metabolic syndrome are known to be associated with poorer physical function. This study builds on available research by further investigating the relationship between physical function measures, including those comprising frailty, with metabolic syndrome (MetS) and falls, in the context of complex obesity. Methods: Participants were recruited from the national Level 3 weight management service in Ireland. A retrospective audit of data gathered at initial assessment was performed. Data included past medical history, blood tests, blood pressure measurement, anthropometrics, falls history, self-reported physical activity levels (PALs) and physical function measures, including hand grip strength (HGS), "timed up and go" (TUG), functional reach (FR), sit to stand (STS) and gait speed. A modified version of the Fried Frailty Index was employed. Results: Of the 713 participants, 65.1% (n = 464) were female and 34.9% (n = 249) were male with a mean age of 44.2 (±11.7) years and body mass index (BMI) of 50.6 kg/m2 (±8.2). Frailty was identified in 3.4% (n = 24), falls in 28.8% (n = 205) and MetS in 55.1% (n = 393). Frailty was associated with older age (53.8 ± 14.3 vs. 43.9 ± 11.5 years), poorer PALs (27.29 ± 46.3 vs. 101.1 ± 147.4 min/wk), reduced grip strength (17.7 ± 4.6 vs. 34.2 ± 11.0 Kg) longer STS (21.7 ± 6.6 vs. 13.7 ± 5.7 s), shorter functional reach (29.7 ± 7.9 vs. 37.9 ± 8.2 cm) and slower gait speed (0.6 ± 0.2 vs. 1.1 ± 0.5 m/s). Those reporting a falls history had a reduced FR (35.8 ± 8.9 vs. 38.3 ± 7.8 cm) and slower STS (15.4 ± 8.0 vs. 13.3 ± 4.7 s). Participants with MetS had lower PALs (83.2 ± 128.2 vs. 119.2 ± 157.6) and gait speed (1.1 ± 0.3 vs. 1.2 ± 0.7 m/s). There was no difference in BMI between fallers and non-fallers (51.34 ± 8.44 vs. 50.33 ± 8.13 Kg/m2, p = 0.138), nor between those with or without MetS. Significant associations were found between BMI and all physical function measures except the TUAG. Conclusion: The associations between frailty, falls and MetS and their combined impact on physical function in people living with obesity demonstrates the need for appropriate screening. Utilising grip strength and gait speed to identify frailty in those with obesity and metabolic syndrome could help target therapies aimed at improving strength, physical function and ultimately quality of life.

Sleep duration and physical function in people with severe obesity: a prospective cross-sectional study.

BACKGROUND: Subjects with severe obesity (BMI > 40 kg/m2) have worse physical function and sleep less than lean people (BMI 18.5-25 kg/m2). METHODS: In 554 subjects with severe obesity, we compared physical function in those with normal sleep duration (NSD, 6-9 h/night), short sleep duration (SSD, ≤ 6 h/night) and long sleep duration (LSD, ≥ 9 h/night). RESULTS: The mean (±SD) age and BMI were 43.1 (± 11.1) years and 50.9 ± 8.6 kg/m2 respectively. One hundred ninety-six (35.4%) were male. More subjects in the NSD group (n = 256) were able to ascend and descend a step 50 times than in the SSD group (n = 247) or the LSD group (n = 51, 75.5% vs 62.8% vs 56.9%, p = 0.002). A similar observation was made for step speed (0.45 ± 0.11 vs 0.43 ± 0.10 vs 0.40 ± 0.11 steps/s respectively, p = 0.001). NSD participants were less likely to have fallen in the preceding year compared to LSD participants (21.1% vs 39.2%, p = 0.007) and also reported less low back pain compared to SSD participants (60.8% vs 75.9%, p = 0.004). CONCLUSIONS: In conclusion, abnormal sleep duration is associated with reduced physical function in non-elderly severely obese subjects. The effects of sleep hygiene interventions in this cohort warrant further assessment and may be beneficial to their physical function.

Does changing weight change pain? Retrospective data analysis from a national multidisciplinary weight management service.

BACKGROUND: Musculoskeletal (MSK) pain is common in obese populations. Multidisciplinary Tier 3 weight management services (WMS) are effective in reducing weight; however, MSK pain as an outcome is not routinely reported post-WMS interventions. METHODS: Following ethical approval this retrospective design study using anonymized data from a national WMS established changes in anthropometric and pain prevalence and intensity scores as well as establishing variables predictive of achieving clinically significant changes (CSC) in pain scores. RESULTS: Of the 806 patients registered to the WMS (January 2011-February 2015), 59% (n = 476; CI = 56-62) attended their reassessments at 6 months. The overall mean age was 45.1 ± 12 years and 62% (n = 294) were female. At baseline 70% (n = 281; CI = 65-75) reported low back pain (LBP) and 59% (n = 234; CI = 54-64) had knee pain. At reassessment 37.3% (n = 177) of patients lost ≥5% body weight, 58.7% (n = 279) were weight stable (5% weight loss or gain) and 4.0% (n = 19) gained ≥5% body weight. Low back and knee pain prevalence reduced significantly for those who lost ≥5% body weight. Variables predictive of a CSC in LBP numerical rating scale (NRS) score included a higher baseline NRS score, weighing more, and rating losing weight as being important (p < 0.05). Higher baseline NRS and being younger resulted in higher odds of a CSC in knee pain NRS (p < 0.05). CONCLUSIONS: Overall this WMS was effective for clinical weight loss. For those who lost most weight prevalence of knee and LBP reduced. Imbedding pain management strategies within WMS's may provide a more holistic approach to obesity management. SIGNIFICANCE: Weight loss can reduce musculoskeletal pain, particularly for those who lose more weight. Imbedding pain management strategies within these services may provide a more holistic approach to obesity management.

Musculoskeletal pain profile of obese individuals attending a multidisciplinary weight management service.

Obesity is associated with numerous chronic diseases, including musculoskeletal (MSK) pain, which affects on quality of life (QoL). There is, however, limited research providing a comprehensive MSK pain profile of an obese cohort. This retrospective study used a patient database at a national weight management service. After ethical approval, anonymized patient data were statistically analyzed to develop a pain profile, investigate relationships between pain, sleep, and function, and explore variables associated with having low back pain (LBP) and knee pain. Overall, 915 individuals attended the weight management service from January 2011 to September 2015 [male, 35% (n = 318; confidence interval [CI] = 32-38); female, 65% (n = 597; CI = 62-68); mean age 44.6]. Mean body mass index was 50.7 kg/m [class III obese (body mass index ≥40 kg/m), 92% (n = 835; CI = 91-94)]. Approximately 91% reported MSK pain: LBP, 69% (n = 539; CI = 65-72) [mean Numeric Rating Scale 7.4]; knee pain, 58% (n = 447; CI = 55-61) [mean Numeric Rating Scale 6.8]. Class III obese and multisite pain patients had lower QoL and physical activity levels, reduced sleep, and poorer physical function than less obese patients and those without pain (P < 0.05). Relationships were found between demographic, pain, self-report, psychological, and functional measures (P < 0.05). Patients who slept fewer hours and had poorer functional outcomes were more likely to have LBP; patients who were divorced, had lower QoL, and more frequent nocturia were more likely to have knee pain (P < 0.05). Multisite MSK pain is prevalent and severe in obese patients and is negatively associated with most self-report and functional outcomes. This high prevalence suggests that pain management strategies must be considered when treating obesity.