Associations of accelerometer-estimated free-living daily activity impact intensities with 10-year probability of osteoporotic fractures in adults.

PURPOSE: Accelerometers are used to objectively measure physical activity; however, the relationship between accelerometer-based activity parameters and bone health is not well understood. This study examines the association between accelerometer-estimated daily activity impact intensities and future risk estimates of major osteoporotic fractures in a large population-based cohort. METHODS: Participants were 3165 adults 46 years of age from the Northern Finland Birth Cohort 1966 who agreed to wear a hip-worn accelerometer during all waking hours for 14 consecutive days. Raw accelerometer data were converted to resultant acceleration. Impact magnitude peaks were extracted and divided into 32 intensity bands, and the osteogenic index (OI) was calculated to assess the osteogenic effectiveness of various activities. Additionally, the impact peaks were categorized into three separate impact intensity categories (low, medium, and high). The 10-year probabilities of hip and all major osteoporotic fractures were estimated with FRAX-tool using clinical and questionnaire data in combination with body mass index collected at the age of 46 years. The associations of daily activity impact intensities with 10-year fracture probabilities were examined using three statistical approaches: multiple linear regression, partial correlation, and partial least squares (PLS) regression. RESULTS: On average, participants' various levels of impact were 8331 (SD = 3478) low; 2032 (1248) medium; and 1295 (1468) high impacts per day. All three statistical approaches found a significant positive association between the daily number of low-intensity impacts and 10-year probability of hip and all major osteoporotic fractures. In contrast, increased number of moderate to very high daily activity impacts was associated with a lower probability of future osteoporotic fractures. A higher OI was also associated with a lower probability of future major osteoporotic fractures. CONCLUSION: Low-intensity impacts might not be sufficient for reducing fracture risk in middle-aged adults, while high-intensity impacts could be beneficial for preventing major osteoporotic fractures.

Low testosterone at age 31 associates with maternal obesity and higher body mass index from childhood until age 46: A birth cohort study.

BACKGROUND: Low testosterone (T) levels in men associate with increased risks of obesity, type 2 diabetes, metabolic syndrome, and cardiovascular diseases. However, most studies are cross-sectional with follow-up-time < 10 years, and data on early growth are limited. OBJECTIVE: To compare prenatal factors and body mass index (BMI) development from birth to age 46 in relation to low T at age 31. MATERIALS AND METHODS: Men with low T (T < 12.1 nmol/L, n = 132) and men with normal T at age 31 (n = 2561) were derived from the Northern Finland Birth Cohort 1966. Prenatal factors, longitudinal weight and height data from birth to age 14, and cross-sectional weight and height data at ages 31 and 46, and waist-hip-ratio (WHR) and T levels at age 31 were analyzed. Longitudinal modeling and timing of adiposity rebound (AR, second BMI rise at age 5-7 years) were calculated from fitted BMI curves. Results were adjusted for mother's pre-pregnancy BMI and smoking status, birth weight for gestational age, alcohol consumption, education level, smoking status, and WHR at age 31. RESULTS: Neither gestational age nor birth weight was associated with low T at age 31; however, maternal obesity during gestation was more prevalent among men with low T (9.8% vs. 3.5%, adjusted aOR: 2.43 [1.19-4.98]). Men with low T had earlier AR (5.28 vs. 5.82, aOR: 0.73 [0.56-0.94]) and higher BMI (p < 0.001) from AR onward until age 46. Men with both early AR and low T had the highest BMI from AR onward. CONCLUSIONS: In men, maternal obesity and early weight gain associate with lower T levels at age 31, independently of adulthood abdominal obesity. Given the well-known health risks related to obesity, and the rising prevalence of maternal obesity, the results of the present study emphasize the importance of preventing obesity that may also affect the later reproductive health of the offspring.

Climacteric status is associated with sexual dysfunction at the age of 46 years: a population-based study.

OBJECTIVE: Increasing age and menopausal transition increase the risk of sexual dysfunction. Sexual dysfunction is common in women experiencing menopause before the age of 40 years, whereas evidence on sexual function in women experiencing menopause in their mid-40s is scarce. We aimed to investigate sexual function in 46-year-old women in relation to their menopausal status. METHODS: This study cross-sectionally evaluated sexual function of women in a prospective population-based Northern Finland Birth Cohort 1966 (NFBC1966). A 46-year follow-up study of NFBC1966 included a broad questionnaire evaluating health, lifestyle, and life situation, as well as menstrual history and sexual function, and blood sampling analysis including follicle stimulating hormone and free androgen index (FAI). The participants were divided into two groups by their menopause status, defined by follicle-stimulating hormone and menstrual history. We performed logistic regression models in which parameters of sexual function were dependent factors and climacteric status, self-reported health, FAI, relationship status, smoking, and education level were independent variables. RESULTS: The study population included 2,661 women. In regression models, more advanced climacteric status was associated with higher frequency and difficulty level of low sexual desire and vaginal dryness (odds ratios with 95% confidence intervals: 2.80 [2.12-3.71], 3.22 [2.43-4.27], 3.83 [2.82-5.20], 3.75 [2.75-5.12], respectively), lower frequency of sexual thoughts (1.34 [1.02-1.75]), and higher frequency of problems with intercourse (2.35 [1.51-3.66]). Lower FAI and poorer health were associated with impaired sexual function. CONCLUSIONS: The current study suggests that women experiencing menopausal transition in their mid-40s are at risk of impaired sexual function.

Polycystic ovary syndrome and leukocyte telomere length: cross-sectional and longitudinal changes.

Objective: Telomeres are DNA-protein complexes that protect chromosome ends from DNA damage and are surrogate biomarkers of cellular aging. Current evidence, almost entirely from cross-sectional observations, supports negative associations between leukocyte telomere length (LTL) and adverse lifestyle factors and cardiometabolic risk factors. Polycystic ovary syndrome (PCOS), the most common gynecological endocrine disorder, is associated with inflammation and oxidative stress, both factors associated with accelerated telomere attrition. We therefore hypothesized that LTL would be shorter and decrease more rapidly in women with PCOS in comparison to a control population. Design: This is a population-based cohort study comprising women of Northern Finland Birth Cohort 1966, with clinical examinations at ages 31 and 46. The sample included self-reported PCOS (age 31, n = 190; age 46, n = 207) and referent women (age 31, n = 1054; age 46, n = 1324) with data on LTL. Methods: The association between LTL and PCOS at ages 31 and 46 was analyzed by linear regression models adjusted for BMI, smoking, alcohol consumption and socioeconomic status at the corresponding age. Results: Women with PCOS had similar mean LTL at ages 31 and 46 (P > 0.4 for both). The mean LTL change between ages 31 and 46 did not differ between groups (P = 0.19). However, we observed a significant LTL attrition between ages 31 and 46 in the reference population (P < 0.001), but not in women with PCOS (P = 0.96). Conclusions: This finding may suggest a difference in the LTL attrition rate in women with PCOS, an unexpected finding that might affect their risk of age-related disease. Further research is needed to clarify the underlying mechanisms.

Critical evaluation of deep neural networks for wrist fracture detection.

Wrist Fracture is the most common type of fracture with a high incidence rate. Conventional radiography (i.e. X-ray imaging) is used for wrist fracture detection routinely, but occasionally fracture delineation poses issues and an additional confirmation by computed tomography (CT) is needed for diagnosis. Recent advances in the field of Deep Learning (DL), a subfield of Artificial Intelligence (AI), have shown that wrist fracture detection can be automated using Convolutional Neural Networks. However, previous studies did not pay close attention to the difficult cases which can only be confirmed via CT imaging. In this study, we have developed and analyzed a state-of-the-art DL-based pipeline for wrist (distal radius) fracture detection-DeepWrist, and evaluated it against one general population test set, and one challenging test set comprising only cases requiring confirmation by CT. Our results reveal that a typical state-of-the-art approach, such as DeepWrist, while having a near-perfect performance on the general independent test set, has a substantially lower performance on the challenging test set-average precision of 0.99 (0.99-0.99) versus 0.64 (0.46-0.83), respectively. Similarly, the area under the ROC curve was of 0.99 (0.98-0.99) versus 0.84 (0.72-0.93), respectively. Our findings highlight the importance of a meticulous analysis of DL-based models before clinical use, and unearth the need for more challenging settings for testing medical AI systems.

Normo- and hyperandrogenic women with polycystic ovary syndrome exhibit an adverse metabolic profile through life.

OBJECTIVE: To compare the metabolic profiles of normo- and hyperandrogenic women with polycystic ovary syndrome (PCOS) with those of control women at different ages during reproductive life. DESIGN: Case-control study. SETTING: Not applicable. PATIENT(S): In all, 1,550 women with normoandrogenic (n = 686) or hyperandrogenic (n = 842) PCOS and 447 control women were divided into three age groups: <30, 30-39, and >39 years). INTERVENTIONS(S): None. MAIN OUTCOME MEASURE(S): Body mass index (BMI), waist circumference, blood pressure, glucose, insulin, cholesterol, lipoproteins, triglycerides and high-sensitivity C-reactive protein. RESULT(S): Both normo- and hyperandrogenic women with PCOS were more obese, especially abdominally. They had increased serum levels of insulin (fasting and in oral glucose tolerance tests), triglycerides, low-density lipoprotein, and total cholesterol, higher blood pressure, and lower high-density lipoprotein levels independently from BMI compared with the control population as early as from young adulthood until menopause. The prevalence of metabolic syndrome was two- to fivefold higher in women with PCOS compared with control women, depending on age and phenotype, and the highest prevalence was observed in hyperandrogenic women with PCOS at late reproductive age. CONCLUSION(S): When evaluating metabolic risks in women with PCOS, androgenic status, especially abdominal obesity and age, should be taken into account, which would allow tailored management of the syndrome from early adulthood on.

Androgen Profile Through Life in Women With Polycystic Ovary Syndrome: A Nordic Multicenter Collaboration Study.

CONTEXT: Women with polycystic ovary syndrome (PCOS) have increased androgen secretion throughout fertile life; however, the data on the effect of menopause on hyperandrogenemia in these women are scarce. Nevertheless, large comprehensive comparative studies on age-related androgen levels in women with PCOS are lacking. OBJECTIVE: The objective of the study was to investigate the effect of age on serum androgen levels in women with PCOS and to determine cutoff values for androgens and SHBG associated with a PCOS diagnosis. DESIGN: This was a case-control study. SETTING: The study was conducted in five university sites in the Nordic countries. PATIENTS: In all, 681 women with PCOS and 230 referent women were grouped according to age into seven age groups (18 to > 50 y). INTERVENTIONS: There were no interventions. MAIN OUTCOME MEASURES: T, SHBG, free androgen index (FAI), calculated free T (cFT), androstenedione (A4), and dehydroepiandrosterone sulfate were measured. RESULTS: Androgen levels in women with PCOS decreased with age toward menopause. The difference between women with PCOS and the referent women narrowed and individual variation increased as they approached menopause. T levels, FAI, and cFT were significantly higher in women with PCOS aged 18-44 years (P < .001, adjusted for body mass index). The best predictive factors for having PCOS were cFT (≥0.40 ng/dL, odds ratio [OR] 7.90), FAI (≥2.0, OR 6.71), and A4 (≥277.94 ng/dL, OR 6.16). CONCLUSIONS: Women with PCOS had elevated serum androgen levels also after menopause. The parameters that best predicted PCOS at all ages were cFT, A4, and FAI.