Associations of exercise habit, estradiol, and skeletal muscle mass with bone mineral density in women aged 50-59 years: a cross-sectional study stratified according to menopausal status

Description

This dataset contains de-identified individual-level data used in the cross-sectional study entitled “Associations of exercise habit, estradiol, and skeletal muscle mass with bone mineral density in women aged 50–59 years: a cross-sectional study stratified according to menopausal status.” The study investigated differences in lumbar spine and femoral neck bone mineral density (BMD) according to menopausal status and examined whether exercise habit was associated with BMD in postmenopausal women. Participants were women aged 50–59 years who completed questionnaire assessments, body composition measurements, dual-energy X-ray absorptiometry (DXA), and blood sampling. Final analyses included 78 participants: 19 premenopausal women and 59 postmenopausal women. The postmenopausal women were further classified into a menopause-active group (MA; n = 31) and a menopause-non-active group (MN; n = 28) according to exercise habit, defined as exercise for at least 30 minutes per session, at least twice per week, maintained for more than 1 year. The dataset includes participant ID and group classification, demographic and body composition variables (age, years since menopause, height, weight, skeletal muscle mass, body fat amount, body mass index, skeletal muscle percentage, and waist-to-hip ratio), DXA-derived bone outcomes (lumbar spine BMD, lumbar spine T-score, lumbar spine Z-score, femoral neck BMD, femoral neck T-score, and femoral neck Z-score), and blood biomarkers (serum calcium, bone-specific alkaline phosphatase, TRACP-5b, estradiol, total P1NP, and 25-hydroxyvitamin D). The dataset also contains the VDDQ-J score. For premenopausal participants, “years since menopause” is not applicable and is recorded as a placeholder value. The data were used for between-group comparisons and multivariable regression analyses examining factors associated with lumbar spine and femoral neck BMD. This dataset supports the findings that skeletal muscle mass and estradiol were independently associated with BMD, and that exercise habit was independently associated with femoral neck BMD among postmenopausal women.

Steps to reproduce

Recruit women aged 50–59 years from the community and obtain written informed consent before data collection. Apply the following eligibility criteria: women aged 50–59 years at assessment. Exclude individuals with hormone therapy use within the previous year, chronic diseases, or medication use likely to affect bone metabolism. Collect questionnaire data on menstrual status, age at menopause, route to menopause, exercise habit, childbirth history, smoking, alcohol consumption, supplement use, calcium intake, and sun exposure/sunscreen-related behaviors. Classify participants as menstruating or postmenopausal. Define postmenopause as no menstruation for at least 12 months. Among postmenopausal participants, define exercise habit as exercise for at least 30 minutes per session, at least twice per week, maintained for more than 1 year, and classify them into menopause-active (MA) and menopause-non-active (MN) groups accordingly. Measure body composition using a bioelectrical impedance analysis device and record body weight, skeletal muscle mass, body fat mass, body mass index, skeletal muscle percentage, and waist-to-hip ratio. Assess bone mineral density using dual-energy X-ray absorptiometry (DXA) at the lumbar spine (L2–L4) and right femoral neck, and obtain BMD, T-score, and Z-score values. Collect venous blood samples and analyze serum calcium, estradiol, bone-specific alkaline phosphatase (BAP), tartrate-resistant acid phosphatase 5b (TRACP-5b), total procollagen type I N-terminal propeptide (P1NP), and 25-hydroxyvitamin D using standardized clinical laboratory methods. Construct a de-identified dataset including participant ID, group classification, questionnaire-derived variables, body composition variables, DXA outcomes, and blood biomarkers. Exclude ineligible participants after final review of questionnaire responses. In the original study, 81 participants completed all assessments, 3 were excluded because of hormone therapy within the previous year, and 78 participants were included in the final analyses. Summarize continuous variables as means with 95% confidence intervals and categorical variables as counts and percentages. Assess distributional assumptions using the Shapiro–Wilk test. Compare groups using an independent-samples t-test or Mann–Whitney U test for continuous variables and Pearson’s chi-square test for categorical variables, as appropriate. Perform multiple linear regression analyses with lumbar spine BMD and femoral neck BMD as dependent variables. Use complete-case analysis for missing data, assess multicollinearity using variance inflation factors, and set statistical significance at p < 0.05.

Institutions

• Juntendo University

  Tokyo, Tokyo

Categories

Funders

• the Institute of Health and Sports Science & Medicine, Juntendo University

  Grant ID: None

Licence