Characteristics of the sample were described by means (standard deviation) and frequency (%). At baseline, two VMS groups – any or none – were compared for group differences in, and associations among, demographics (age, race/ethnicity, education), quality of life (SF-36 score), and clinical characteristics (weight, hip and waist circumference, menopausal status, fat mass, fat free mass, skeletal mass), and VMS was estimated using chi square test (x 2 ) for categorical variables, and Kruskal-Wallis test for continuous variables. A scatter plot matrix was used to examine linear correlations among variables. For the purposes of modelling, LBM is represented by the SMI variable. Additionally, to account for the nonindependence of longitudinal observations derived from the same woman and data in which the number of observations may differ across women, longitudinal modeling using SAS PROC MIXED incorporated a random intercept term to account for the correlated errors among repeated measures of the same woman. Missing values of time-varying variables were interpolated based on prior and subsequent values for gaps of one to two visits as in previous SWAN analyses . To assess H1, incident VMS was modeled as a function of concurrent LBM using logistic regression analysis. To address H2 regarding long term change in LBM, the model was expanded to add within-woman percent change in LBM since baseline and to address Hstep three, regarding recent change in LBM, the model was expanded to add within-woman percent change in LBM since prior visit (approximately 1 year earlier). The overall association between LBM and VMS was estimated in binary logistic regression models. Statistical analyses were one-tailed with an alpha level of 0.05 and conducted using SAS University Edition (© 2012–2018, SAS Institute Inc., Cary, NC).
Overall performance
In the baseline (check out six) there have been 2533 users residing in the latest SWAN data who were on average 52 years of age together with variations in the group features are offered within the Dining table step 1. Simply feminine reporting no symptoms at the baseline (letter = 1179) was included in longitudinal analyses to own VMS with LBM. In the go to 10 there have been 800 women remaining in the study.
At baseline, SMI showed a strong positive correlation to FFMI both for symptoms = none (r0 (864) = 0.931, p Table 2 Association of VMS to lean body mass (Odds Ratios)
Forecast probability of symptoms happening within provided amounts of SMI (modified to possess FFMI and you will FMI) in women no VMS within head to 6 (baseline)
Talk
Utilizing the research for this higher, multiethnic sample regarding middle-years female regarding SWAN analysis, i learned that members which have high cousin quantities of LBM have been less inclined to establish VMS because they transitioned using menopausal. It impression was discovered to be independent out of sociodemographic circumstances and you may quantities of pounds mass. As well, because mediocre age the players inside our analysis enhanced from 52.0 so you’re able to 56.6 decades while the quantity of women who have been postmenopausal enhanced of 40% (letter = 430) on go to six so you can 72% (n = 733) at the see 10, our studies been able to file the course due to menopausal transition for some brand new cohort.
Considerable beste landet ГҐ finne postordrebrud previous studies have concerned about new association off system size index (BMI) and you may % excess fat with VMS and has now recommended a confident relationship anywhere between increasing Bmi therefore the presence out-of VMS [29, thirty-two,33,34,thirty-five,36]. Yet not, Body mass index is a poor predictor of human body bulk because is a measure of extra weight and will not identify ranging from body fat bulk and fat free bulk . Our very own studies checked the components away from system structure and discovered lean size, influenced by one another fat-free size and you will skeletal muscle, to possess a serious affect the likelihood of developing VMS over time when you are still as a result of the possible feeling out of pounds size. A recent mix-sectional examination of 758 women found that trunk lean mass try a separate protective grounds getting modest so you’re able to major menopause attacks and you may one to VMS were on their own related to higher Body mass index and you can pounds mass . The root elements of matchmaking anywhere between muscles constitution and VMS are not entirely obvious due to the partial understanding of this new physiology of VMS .