Background: A positive association between obesity based on body mass index (BMI) and periodontitis has been reported. Fat tissue-related systemic inflammation acts as the link to periodontal comorbidities of obesity. However, the BMI is unable to distinguish fat and fat-free tissues. More precise measures are required to evaluate body composition, including fat and fat-free tissues. This study aimed to determine the sex differences in the association between dual-energy x-ray absorptiometry (DXA)-measured body composition (i.e., fat mass and muscle mass) and phenotypes with periodontitis. Methods: Cross-sectional data of 3892 participants from the National Health and Nutrition Examination Survey (NHANES) study 2011‒2014 were analyzed. Adiposity indices (fat mass index [FMI] and percentage body fat [%BF]) and muscle mass index (MMI) were calculated. The participants were categorized by the quintiles of FMI, MMI, and %BF. Body composition phenotypes were categorized as: low adiposity-low muscle (LA-LM), low adiposity-high muscle (LA-HM), high adiposity-low muscle (HA-LM), or high adiposity-high muscle (HA-HM), respectively. Periodontitis was defined by the CDC/AAP (Centers for Disease Control and Prevention/American Academy of Periodontology) criteria. Multivariable logistic regression analysis was conducted, stratified by sex. We further adjusted for white blood cell (WBC) counts in the sensitivity analysis. Results: Restricted cubic splines revealed non-linear associations between body composition indices and periodontitis risk. Women with a higher FMI (odds ratio for Q5 vs. Q1 [ORQ5vs1] = 1.787, 95% confidence interval: 1.209–2.640) or %BF (ORQ5vs1 = 2.221, 1.509–3.268) had increased odds of periodontitis. In addition, women with HA-LM phenotype were more likely to develop periodontitis (OR = 1.528, 1.037–2.252). Interestingly, the WBC count, a systemic inflammatory biomarker, attenuated these associations. No statistically significant associations were found in men. Conclusions: The association between DXA-measured body composition and phenotypes with periodontitis differs per sex. Only in women higher adiposity indices and HA-LM phenotype were associated with an increased risk of periodontitis.
Background: To assess the prevalence of chronic lymphedema and trismus in patients > 6 months after head and neck cancer (HNC) treatment, and to explore how the severity of these conditions correlates with body image and quality of life. Methods: The cross-sectional sample included 59 patients, treated for HNC between six months to three years ago. Physical measurements were performed to assess the presence of external lymphedema and trismus (<36 mm). Furthermore, participants completed two questionnaires regarding body image (BIS) and quality of life (UW-QoL V4). Results: Lymphedema prevalence was 94.1% (95% CI 0.86–0.98), with a median severity score of 9 (range 0–24). Trismus prevalence in this sample was 1.2%. The median BIS score was 2, indicating a positive body image. The UW-QoL score showed a good QOL with a median of 100. Only the domain of saliva and overall related health had a lower median of 70 and 60, respectively. There was no correlation between lymphedema and body image (r = 0.08, p = 0.544). Patients with higher lymphedema scores reported poorer speech with a moderate correlation (r = −0.39, p = 0.003). Conclusion: Lymphedema is a highly prevalent, but moderately severe late side-effect of HNC with a limited impact on quality of life domains except for speech, in our cohort.
ObjectivesBody weight and muscle mass loss following an acute hospitalization in older patients may be influenced by malnutrition and sarcopenia among other factors. This study aimed to assess the changes in body weight and composition from admission to discharge and the geriatric variables associated with the changes in geriatric rehabilitation inpatients.DesignRESORT is an observational, longitudinal cohort.Setting and ParticipantsGeriatric rehabilitation inpatients admitted to geriatric rehabilitation wards at the Royal Melbourne Hospital, Melbourne, Australia (N = 1006).MethodsChanges in body weight and body composition [fat mass (FM), appendicular lean mass (ALM)] from admission to discharge were analyzed using linear mixed models. Body mass index (BMI) categories, (risk of) malnutrition (Global Leadership Initiative on Malnutrition), sarcopenia (European Working Group on Sarcopenia in Older People), dependence in activities of daily living (ADL), multimorbidity, and cognitive impairment were tested as geriatric variables by which the changes in body weight and composition may differ.ResultsA total of 1006 patients [median age: 83.2 (77.7–88.8) years, 58.5% female] were included. Body weight, FM (kg), and FM% decreased (0.30 kg, 0.43 kg, and 0.46%, respectively) and ALM (kg) and ALM% increased (0.17 kg and 0.33%, respectively) during geriatric rehabilitation. Body weight increased in patients with underweight; decreased in patients with normal/overweight, obesity, ADL dependence and in those without malnutrition and sarcopenia. ALM% and FM% decreased in patients with normal/overweight. ALM increased in patients without multimorbidity and in those with malnutrition and sarcopenia; ALM% increased in patients without multimorbidity and with sarcopenia.Conclusions and ImplicationsIn geriatric rehabilitation, body weight increased in patients with underweight but decreased in patients with normal/overweight and obesity. ALM increased in patients with malnutrition and sarcopenia but not in patients without. This suggests the need for improved standard of care independent of patients’ nutritional risk.
