A novel non-invasive method for predicting bone mineral density and fracture risk using demographic and anthropometric measures

Fractures are costly to treat and can significantly increase morbidity. Although dual-energy x-ray absorptiometry (DEXA) is used to screen at risk people with low bone mineral density (BMD), not all areas have access to one. We sought to create a readily accessible, inexpensive, high-throughput prediction tool for BMD that may identify people at risk of fracture for further evaluation. Anthropometric and demographic data were collected from 492 volunteers (♂275, ♀217; [44 ​± ​20] years; Body Mass Index (BMI) = [27.6 ​± ​6.0] kg/m2) in addition to total body bone mineral content (BMC, kg) and BMD measurements of the spine, pelvis, arms, legs and total body. Multiple-linear-regression with step-wise removal was used to develop a two-step prediction model for BMC followed by BMC. Model selection was determined by the highest adjusted R2, lowest error of estimate, and lowest level of variance inflation (α ​= ​0.05). Height (HTcm), age (years), sexm=1, f=0, %body fat (%fat), fat free mass (FFMkg), fat mass (FMkg), leg length (LLcm), shoulder width (SHWDTHcm), trunk length (TRNKLcm), and pelvis width (PWDTHcm) were observed to be significant predictors in the following two-step model (p ​< ​0.05). Step1: BMC (kg) = (0.006 3 × HT) ​+ ​(-0.002 4 × AGE) ​+ ​(0.171 2 × SEXm=1, f=0) ​+ ​(0.031 4 × FFM) ​+ ​(0.001 × FM) ​+ ​(0.008 9 × SHWDTH) ​+ ​(-0.014 5 × TRNKL) ​+ ​(-0.027 8 × PWDTH) - 0.507 3; R2 ​= ​0.819, SE ​± ​0.301. Step2: Total body BMD (g/cm2) = (-0.002 8 × HT) ​+ ​(-0.043 7 × SEXm=1, f=0) ​+ ​(0.000 8 × %FAT) ​+ ​(0.297 0 × BMC) ​+ ​(-0.002 3 × LL) ​+ ​(0.002 3 × SHWDTH) ​+ ​(-0.002 5 × TRNKL) ​+ ​(-0.011 3 × PWDTH) ​+ ​1.379; R2 ​= ​0.89, SE ​± ​0.054. Similar models were also developed to predict leg, arm, spine, and pelvis BMD (R2 ​= ​0.796-0.864, p ​< ​0.05). The equations developed here represent promising tools for identifying individuals with low BMD at risk of fracture who would benefit from further evaluation, especially in the resource or time restricted setting.

#Scoliosis: an analysis of patient perception of scoliosis on TikTok

Background

Social media presents an opportunity to analyze popular opinion about patient experiences. Idiopathic scoliosis is a spinal pathology commonly identified in younger patients who are the largest users of social media.

Objective

To analyze posts on the social media platform, TikTok, to better understand the scoliotic patient condition.

Methods

TikTok posts were searched manually by screening for "#Scoliosis." Variables assessed included number of likes, conveyed tone, gender, activities of daily living, incisional scar, imaging, involved spine level, spinal curvature, pain, formal physical therapy, multiple operations/reoperation, brace use, self-image, mobility, and educational/awareness posts. Number of responses per category were evaluated for the total they represented and the percentage of available posts containing those elements. Odds ratios with 95% confidence intervals were calculated for each collected variable.

Results

More posts were positive than negative (P < 0.001) and from female users than male users (P < 0.001). Self-image was the most prevalent subject, with many posts not mentioning activities of daily living, incisional scars, imaging, pain, physical therapy, timing, awareness/education, or involved spine levels.

Conclusions

More females post about scoliosis than males, with most posts containing positive self-image-related themes. This may represent a positive public attitude about scoliosis; however, further research is needed.

Temperature circadian rhythms during the menstrual cycle and sleep deprivation in premenstrual dysphoric disorder and normal comparison subjects

The aim of this study was to test the hypothesis that the circadian rhythm of core body temperature is altered in premenstrual dysphoric disorder (PMDD) subjects compared to that in normal comparison (NC) subjects and that it is normalized in PMDD subjects after treatment with early night partial sleep deprivation (ESD) or late night partial sleep deprivation (LSD). A total of 23 subjects meeting DSM-IV criteria for PMDD and 18 NC subjects had 24-h core body temperature recordings taken during the following conditions: (1) baseline midfollicular (preovulatory) and (2) late luteal (postovulatory) menstrual cycle phases and after a randomized crossover trial in subsequent luteal phases of (3) ESD, in which subjects slept from 03:00 to 07:00 h, followed by (4) a night of recovery sleep (ESD-R: sleep 22:30 to 06:30 h), and (5) LSD, in which subjects slept from 21:00 to 01:00 h, also followed by (6) a night of recovery sleep (LSD-R: sleep 22:30 to 06:30 h). Temperature amplitudes were significantly decreased in the luteal phase compared to those in the follicular menstrual cycle phase and increased after nights of recovery sleep. Compared to the baseline late luteal phase, during LSD, temperature amplitude increased in PMDD subjects but decreased in NC subjects. During ESD, the temperature acrophase was delayed in PMDD subjects but was advanced in NC subjects; during LSD, the temperature acrophase was advanced in PMDD subjects but was delayed in NC subjects compared to the late luteal baseline. Nocturnal temperature and temperature maxima and mesors tended to be higher in PMDD subjects than in NC subjects; when not reduced during sleep deprivation interventions, these were not associated with therapeutic effects. Alterations in both phase and amplitude of temperature circadian rhythms characterize PMDD subjects as contrasted with NC subjects in response to sleep deprivation. The changes in phase reflected more shifts in temperature acrophase in response to shifts in sleep in PMDD subjects. This realignment of the timing of sleep and temperature in addition to the enhancement of blunted amplitude rhythms during recovery nights of sleep may provide corrective mechanisms that contribute to the therapeutic effects of sleep deprivation.