J Saarelainen

University of Eastern Finland, Yoensu, North Karelia, Finland

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Publications (6)15.1 Total impact

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    ABSTRACT: Long-term bone mineral density (BMD) or fracture incidence changes after withdrawal of postmenopausal hormone therapy (HT) are not well known.
    No preview · Article · Dec 2015 · Maturitas
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    ABSTRACT: Obesity protects against osteoporosis, but the magnitude of this association has been difficult to assess from cross-sectional or short term studies. We examined the time course of bone loss as a function of body mass index (BMI) in early and late postmenopausal women. Our study population (n = 300) was a random sample of the population-based Kuopio Osteoporosis Risk Factor and Prevention (OSTPRE) Study, Finland. We excluded women without complete BMD results, premenopausal women during the second bone densitometry and women who had used hormone replacement therapy, bisphosphonates or calcitonin. BMI along with femoral neck and spinal bone mineral density (BMD) were assessed three times by dual-energy X-ray absorptiometry during a mean follow-up of 10.5 years (SD 0.5). The mean baseline age was 53.6 years (SD 2.8), time since menopause 2.9 years (SD 4.3) and BMI 27.3 kg/m(2) (SD 4.4). The data was analyzed by linear mixed models. Thus, we were able to approximate the bone loss up to 20 postmenopausal years. To illustrate, a woman with a baseline BMI of 20 kg/m(2) became osteopenic 2 (spine) and 4 (femoral neck) years after menopause, while obesity (BMI of 30 kg/m(2)) delayed the incidence of osteopenia by 5 (spine) and 9 (femoral neck) years, respectively. The delay was due to high baseline BMD of the obese, while bone loss rate was similar for both lean and obese subjects. This lean versus obese difference may also be partly due to altered X-ray attenuation due to fat mass.
    No preview · Article · Sep 2011 · Journal of Bone and Mineral Metabolism
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    ABSTRACT: To assess the association between the body fat distribution and axial bone mineral density (BMD) in postmenopausal women with or without hormone replacement therapy (HRT). Cross-sectional population-based study. University of Eastern Finland, Bone and Cartilage Research Unit, Kuopio, Finland. 198 postmenopausal women, mean age 67.5 (1.9 SD), mean BMI 27.1 (3.9 SD). Regional body composition and BMD assessed by dual X-ray absorptiometry (DXA, Prodigy). Spinal and Femoral BMD. Out of the body composition parameters, FM was the main determinant of postmenopausal bone mass. Only the lumbar spine (L2-L4) BMD, not the femoral neck BMD, was positively associated with the trunk FM. Positive trends for association were revealed between the spinal BMD and the trunk FM regardless of the use of HRT. Adjustments did not change the results. Higher trunk fat mass was associated with the spinal BMD, but not with the hip BMD in postmenopausal women, irrespective of the HRT use. In addition to biological factors, uncertainties related to DXA measurements in patients with varying body mass may contribute to this phenomenon.
    No preview · Article · Mar 2011 · Maturitas
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    ABSTRACT: Screening of osteoporosis using peripheral bone measurements has become more common, even though diagnostic discrepancies are known to exist between peripheral dual-energy X-ray (pDXA) or quantitative ultrasound (QUS) and central DXA measurements. Values of diagnostic parameters such as bone mineral density, speed of (ultra)sound, and broadband ultrasound attenuation are affected by bone size and soft tissue composition. However, their significance for the discordance between peripheral and central techniques is unclear. In this study, bone status and total body composition of 139 women (mean age 68.3 yr [1.7 SD], mean body mass index 26.5 kg/m2 [3.6 SD]) were assessed by 3 GE Lunar devices. Heel pDXA and heel QUS were conducted using peripheral instantaneous X-ray imaging (PIXI) and Achilles, respectively, and central DXA measurements were taken at the posterior-anterior lumbar spine (L2-L4) and at the left femoral neck using Prodigy. Positive significant associations were found between body height or fat (%) and most DXA or QUS parameters. The discordance between the site-dependent DXA or QUS T-score values typically increased (p<0.05) as a function of body weight or fat (%), but not with body height. On an average, body adiposity accounted for less than 11% of the differences between the techniques; however, increase of total body fat from 20% to 45% led to a discrepancy of one T-score between DXA(HEEL) and QUS(HEEL). To avoid diagnostic bias, comparative assessment of the devices using the same population is recommended.
    No preview · Article · Jul 2007 · Journal of Clinical Densitometry
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    ABSTRACT: When dual-energy X-ray absorptiometry (DXA) instruments are replaced, it is essential to determine if systematic differences in measurements occur. As a part of the Kuopio Osteoporosis Risk Factor and Prevention study (N=14,220), a group of women, aged 36 to 69 yr underwent anteroposterior lumbar spine L2 to L4 (n=89) and proximal femur scans (n=88) by the Lunar DPX and DPX-IQ, respectively, during the same visit. A high linear association (r from 0.944 to 0.989, p<0.001) between the two scanners was established for lumbar spine and proximal femur bone mineral density (BMD). The average DPX values for BMD were 1.1% and 2.0% higher than those of DPX-IQ for the lumbar spine (p<0.001) and Ward's triangle (p=0.001), respectively. Femoral neck BMD values by the DPX were 1.4% lower (p<0.001) compared to DPX-IQ. The difference between trochanter BMD results (0.1%) was not significant (p=0.809). In the femoral neck and trochanter, but not in the lumbar spine or Ward's triangle, the differences in BMD values of the two machines were found to depend on body mass index. After linear formulas based on simple and multivariate linear regression analyses were calculated, the differences were negligible, enabling objective comparison of longitudinal measurements.
    No preview · Article · Feb 2005 · Journal of Clinical Densitometry
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    ABSTRACT: We assessed the determinants of onset of hypertension in a large, prospective population-based study of perimenopausal women from the Kuopio Osteoporosis Risk Factor and Prevention (OSTPRE) study. The data collection started in 1989, when a baseline postal inquiry was sent to all women aged 47-56 years (n=14 220) residing in the Kuopio Province in Eastern Finland. Names, social security numbers and addresses were obtained from the Population Register Centre of Finland. A total of 11 798 women responded at baseline and at 5-year follow-up in 1994. After the exclusion of 1777 women with prevalent hypertension at baseline and women with missing height or weight information, the study population consisted of 9485 without established hypertension at baseline. New cases of established hypertension during the follow-up (n=908) were ascertained with the Registry of Specially Refunded Drugs of the Finnish Social Insurance Institution (SII). According to the National Health Insurance, the SII granted 90% reimbursement for drug costs in defined chronic illnesses necessitating continuous medication, like arterial hypertension. Weight and weight gain both raised the risk by 5% per kg (P<0.001). Weight gain of 4-6 kg increased the risk of hypertension 1.25 times and a gain of more than 7 kg 1.65 times compared with the control (zero) group. To conclude, the onset of hypertension in peri- and early postmenopausal women was related to an increase in body weight despite controlling for initial body weight, reported physical activity and use of HRT. Therefore, preventing weight gain by dietary means and exercise is of great importance at menopausal age.
    Full-text · Article · Nov 2003 · Journal of Human Hypertension