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Kamaz has opened a subsidiary in Indonesia kamaz increase sales of its products, press service of the Russian truck maker reports on Wednesday. PT Kamaz Trucks Indonesia will supply popular models kamaz the Russian manufacturer to the Indonesian market," the company says.

Our activity in this region will continue growing," chief executive of Kamaz Foreign Trade Company Rafail Gafeev says. Kamaz also plans to set up qualified service centers on islands of Java, Sumatra, and Sex, he notes.

It was reported earlier Kamaz exports fell Kamaz Group, sex largest automobile corporation in Russia, produces trucks, trailers, kamaz, tractors, engines, power units, and different tools. As of Kamaz 1,its main shareholders were the state-owned Rostec corporation Kamaz was one of the first countries to establish diplomatic relations sex Vietnam, laying the groundwork for a strong bilateral and economic relationship between the countries.

A Council of Agriculture-led delegation from Taiwan is to travel to Sex on Wednesday next week to take part in a two-day promotion of Taiwanese agricultural products. Mining and Metals Kamaz Asia kamaz a professional platform to demonstrate achievements kamaz Kazakhstani and foreign manufacturers of equipment, services, and developments in the field Sex education can be sex profitable sex business, provided the system is built correctly and qua About the sex of business development in another country and professional secrets is told by a practicing expert on work in international sex Anna Trubetskaya.

Home News Russian truck maker Kamaz opens subsidiary in Indonesia. Share this:. Share this: Share this Share this Share this. All news. FEA Education. All events. Our partners. All kamaz reserved.

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Parents: Fuq. Protect your sex from adult content and block access to this site by using parental controls. Kamaz models were 18 years of age or older at the time of depiction. Share with friends:. You might also like these videos:. Drunk sister Fucks sex Her acc bit. Half-brother saw sister Fucks anal new toy and help her. Her acc bit. Dude Fucks bitch on kamaz front lawn.

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Man shoots at the camera bitch that fuck Her acc bit. Homemade sex with gorgeous little daughter Her acc bit. Homemade porn Mature black sexy couple Her acc bit. Fucked redhead cellist Her acc bit. The lowess curve fitting indicated that the decline in muscle size with age was linear. Average cross-sectional area mm 2 by spinal level and age group with adjustment for height and weight. Age- and sex-related differences in trunk muscle cross-sectional area with adjustment for height and weight according to spinal region.

Age corr: pearson correlation coefficient between muscle CSA and age. The percent difference in muscle size and density with age varied by muscle Fig. The percent differences in density with age for the muscles that stabilize the spine erector spine, transversospinalis, psoas major and quadratus lumborum did not differ between the sexes whereas the chest, abdominal and lateral muscles pectoralis major, rectus abdominis, serratus anterior, latissimus dorsi and external oblique showed 1.

In this cross-sectional community-based study, we determined the sex- and age-related differences in trunk muscle density and size at both the thoracic and lumbar regions. We found that men had greater muscle size and density across all trunk muscles. When expressed as an absolute difference, the diminution in muscle mass with age was greater in men than women, whereas there was no sex difference in the age-related decrement in muscle density.

However, when age-related changes were expressed as a percent decrement compared to young adults, trunk muscle mass declined similarly in men and women, but muscle density declines were greater in women than men. These findings have implications for physical function, disability, pain and risk of injury in older adults. Notably, the greater relative age-related difference in trunk muscle density in women might contribute to the higher prevalence of certain musculoskeletal problems in women, including hyperkyphosis [ 11 ] and poorer balance control [ 29 , 30 ].

Our results are consistent with those from prior studies showing that muscle size and density decrease with advancing age in people over 40 years old [ 5 , 20 , 22 ]. Alterations in both muscle cross-sectional area and muscle density contribute to the reduced strength and poorer physical function in old age [ 19 , 20 , 32 , 34 ]. The effect of age on muscle size and density varied with specific muscles.

Especially among women, age-related declines in muscle density were greater in the outer trunk muscles e. Age-related deficits in density of the paraspinal muscles, which stabilize the spine, did not differ between the sexes, whereas the outer trunk trunk muscles showed greater percent age-related declines in women. As trunk muscles are important for stabilizing the spine, maintaining posture, and assisting in movements, more fat accumulation in these muscles with age in women compared to men, may explain, in part, greater functional deficits and higher risk of injury in older women than men [ 30 , 35 — 37 ].

In fact, greater fatty infiltration has been shown to be associated with muscle weakness [ 32 ] and mobility limitations [ 38 ]. Moreover, low trunk muscle density is associated with diminished functional capacity in healthy older adults, with stronger association detected for individuals with moderate to extreme low back pain [ 3 ].

Our results indicate that the relative age-related decline in muscle density and size is relatively uniform across spinal levels in this community based study. This finding differs from a prior study in men which reported greater changes at L5—S1 than L3—L4 [ 21 ]. We only detected variation in muscle density with age by spinal level for serratus anterior, latissimus dorsi and psoas major among women and trapezius in both sexes.

We found no obvious pattern, that is, no spinal level consistently showed more rate of loss or preservation in muscle density than others. Men had significantly larger trunk muscles than women and greater absolute loss of muscle cross-sectional area with age, which is in agreement what has been reported for skeletal muscle mass [ 39 ].

The mechanisms leading to greater age-related loss of muscle mass with age in men are incompletely understood but have been posited to be related to more profound related declines in sex steroids and growth hormones [ 35 , 40 — 42 ]. Men had also significantly higher trunk muscle density than women, but similar absolute decline in muscle density than women which indicates that proportional accumulation of intramuscular fat is greater among women than men.

The factors contributing to age-related accumulation of intramuscular fat are not well understood [ 43 ]. Our findings indicated that there might be a need to identify appropriate interventions to target specific muscles that we observed to demonstrate the greatest age-associated decreases.

For example, Goodpaster et al. We showed that whereas advancing age negatively affects all trunk muscle groups, some muscles show greater declines than others. Thus, strategies to maintain trunk muscles may need to be targeted to specific muscles. To the best of our knowledge, the effectiveness of exercise programs to maintain trunk muscle density with advancing age in healthy older adults has not been established.

Future studies investigating this could lead to interventions to preserve mobility and reduce injury older people. This study has several limitations.

First, the data come from a cross-sectional study that might introduce survival effect bias, such that healthier people may have been more likely to survive to old age and be examined in this cross-sectional study. Thus, we may have underestimated the true age-related declines in trunk muscle morphology.

Moreover, although we adjusted for some of potential confounding variables, we could not exclude the possibility that other covariates may have influenced the age-related differences in muscle density and CSA. We described mean age-related differences in a population using a cross-sectional design. Future work should focus on studying the sources of variation between individuals to permit the evaluation of genetic influences and other confounding factors that were not considered in this study such as diet, lifestyle and diseases such as diabetes mellitus.

Second, the measurements of this study are representative of lean muscle composition and did not examine the amount of adipose tissue present in and around the muscles i.

Finally, because the Framingham Study Offspring and Third Generation cohort were primarily white, extrapolations of our data to other racial and ethnic groups cannot be made. In spite of these limitations, this study has several important strengths. In particular, it draws upon a community-based cohort of individuals. Furthermore, our sample size was relatively large and represented a relevant age range, 40 to 90 years old, including 25 individuals per sex and decade, offering a comprehensive view of trunk muscle aging not previously available in the literature.

In addition, in this study age-related differences in trunk muscle size and density were assessed both in the thoracic and lumbar spine, as data on age-related differences in muscles of the thoracic region are particularly lacking. In conclusion, relative age-related declines in trunk muscle density were greater in women than men whereas the relative decline in muscle mass with age was similar in both sexes.

Thus, the observation that women suffer more functional disabilities with advancing age than men might be attributable, in part, to their greater age-related loss in trunk muscle density. Our data assist in establishing a normal range in trunk muscle density and size in thoracic and lumbar spine by sex and age that potentially can serve as a comparative range for different spinal conditions.

Future studies are required to identify interventions that could prevent or slow age-related decline in trunk muscle mass and density that would help older men and women to maintain physical function with aging.

The contents are solely the responsibility of the authors, and do not necessarily represent the views of the NIH. Anderson, Elizabeth J. Samelson, Douglas P. Kiel and Mary L. Bouxsein declare that they have no conflict of interest. Dennis E. Elizabeth J. Douglas P. Mary L. National Center for Biotechnology Information , U. Osteoporos Int. Author manuscript; available in PMC Jul 1. Anderson , PhD, Elizabeth J.

Samelson , PhD, Douglas P. Bouxsein , PhD. Author information Copyright and License information Disclaimer. Copyright notice. The publisher's final edited version of this article is available at Osteoporos Int. Abstract Purpose A better understanding of the effect of aging on trunk musculature will have implications for physical function, disability, pain and risk of injury in older adults.

Share this:. Share this: Share this Share this Share this. All news. FEA Education. All events. Our partners.

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A better understanding of the effect sed aging on trunk musculature will have implications for physical function, disability, pain and risk of injury in older adults. Thus, we determined the age- and sex-related differences in muscle density and size of both thoracic and lumbar trunk muscles. In this cross-sectional study muscle density and size were measured from quantitative computed tomography QCT scans for 10 trunk se groups at different vertebral levels in community-based men and women aged 40 to 90 years from the Framingham Offspring and Third Generation cohorts.

Age-related declines varied by specific muscle, tending to be greater for outer trunk muscles than for paraspinal muscles, but within a given muscle the age-related changes in muscle density and size were similar among spinal levels. This comprehensive study of trunk muscle deficits with increasing age may kamaz important implications for physical function, disability, pain and risk of injury in older adults.

The greater levels of mobility impairments with aging in women may in part be explained by greater proportion of intramuscular fat tissue and greater age-related fat accumulation in trunk muscles in women than in men. Trunk muscles, which act to stabilize the spine, maintain posture and assist in movements, are essential for activities of daily living [ 1 ].

Atrophy of trunk musculature impairs physical function and increases the risk of disability and injury in kamaaz people [ 2 — 4 ]. Also, lower kamaz muscle density, reflecting greater amounts of fat content in muscle, is more strongly associated with reduced functional capacity than thigh muscle density among elderly people, highlighting the key role of trunk muscles in activities such as balance control [ 4 ].

Moreover, low back pain, the most commonly reported musculoskeletal problem in people older sex 75 years, is associated with degeneration in trunk muscles [ 3415 ]. In particular, it has been suggested that the pattern of multifidus muscle atrophy in patients with low back sex is localized rather than generalized, and can be kmaaz to both spinal level and side [ 1617 kamaz.

Muscle strength and size decrease, whereas fatty infiltration of the muscle increases with advancing age [ 1819 ]. Accordingly, trunk muscle density, a reflection of fatty infiltration, is lower in older 75—87 yrs than younger adults 35—50 yrs and lower in people with decreased physical activity, though muscle density varies widely among muscle groups [ 20 ]. In addition, age-related declines in lumbar paraspinal muscle size vary across spinal regions, as well as by muscle groups [ 21 ].

Muscle size is smaller in women, older individuals, and those of lesser weight [ 22 ]. Moreover, no study has assessed age-related differences in both trunk muscle size and density sex. These elements of study design limit prior findings, as they may not be generalizable to other age groups and the small sample sizes are inadequate to serve kamaz normative reference data.

Furthermore, there are limited data on trunk muscle morphology for muscles in the thorax, an important region, given the high prevalence of hyperkyphosis as well as vertebral sec in the mid-thoracic T7—T8 and thoracolumbar TL1 regions [ 25 ]. Thus, normal ranges for trunk muscle density and size for men and women in different age groups in both thoracic and lumbar spine are lacking. A better understanding of the effect of age and sex on trunk musculature will have implications for physical function, disability, pain and risk of injury in older adults.

Thus the aim of this cross-sectional study, in community-based sample of men and women aged 40 to 90 years, is to determine age-related differences in the density and size of both thoracic and lumbar trunk muscles and to assess whether these age-related differences differ between sexes.

We hypothesized that muscle density and size would decline linearly with age, but that the degree of age-related deficits would vary with spinal region within a muscle. Furthermore, we hypothesized that age-related deficits in muscle density would be greater than for deficits in muscle size.

We also hypothesized that age-related muscle atrophy would vary by muscle according to their function and that outer trunk muscles would demonstrate greater age-associated decreases than paraspinal muscles. Participants were eligible for the current study if they were at least 40 years old at time of CT scan and all spine levels between T5 and L4 were measurable in their CT scans.

Twenty-five men and 25 women were randomly selected from each of the five age-decades: 40—49, 50—59, 60—69, 70—79, and over 80 yrs, as we had previously shown that should be a sufficient sample size to detect age-related differences in trunk muscles [ 20 kzmaz.

A total of men and women aged 40—90 years were included in the current study. The thoracic acquisition covered the sex chest from the lung base to the apices during a single inspirational breath hold and typically corresponds to T 4 to L 1 vertebral levels slice thickness 0. The abdominal acquisition began approximately 2cm above the S1 vertebra and 60 contiguous CT slices slice thickness 2. Height and weight were measured at the kamz of the CT exam and physical activity level estimated.

Physical activity level was reported using the physical activity index PAIwhich was designed to evaluate general history of daily activity based on self-report and provide an estimate of overall energy expenditure. In short, a questionnaire was administered by an interviewer to determine the average number of hours per day kwmaz participant spends in each of five levels of physical activity basal, sedentary, slight, moderate, and heavy.

The hours for each activity level were multiplied by corresponding weighting factors 1. This study utilized previously collected, de-identi ed data and was approved by the institutional review boards of Boston University, Beth Israel Deaconess Medical Center, and Hebrew SeniorLife. Muscle density and size were measured for 10 trunk muscle groups at different vertebral levels as noted in Supplementary Table kamaz.

Each CT scan was spatially filtered using a sigma filter to reduce noise, and each muscle was contoured ses the mid-vertebral slice for each level T5-L4 using an image processing program Analyze, Biomedical Imaging Resource, Mayo Clinic, Rochester, MN [ 28 ]. Muscle size kakaz assessed as the cross-sectional area CSA; mm 2 within the kamaz contour, and muscle density as the mean of voxel attenuation in Hounsfield units HU within each muscle, averaging the right and left sides.

Density measurements were standardized based on kamaz hydroxyapatite phantom Image Analysis, Inc. The muscle size and density measurements for each muscle were averaged across kaamz levels and measurements for four spinal regions were reported: upper thorax T5—T6mid thorax T7—T10thoracolumbar TL2 and lower lumbar L3—L4.

Some individuals had missing values for the outer trunk muscles e. All muscle measurements were performed by one observer and the intra-reader intra-class correlation coefficients were excellent, ranging from 0. The inter-reader ICCs ranged from 0. The intra and inter-reader reliability of the measurements was assessed kamaz having two observers analyze a set of scans from 16 participants twice with a minimum of 2 weeks between the analyses.

We used general linear mixed regression models to assess associations, with either muscle density or muscle CSA as the dependent variable, and age, sex and spinal region as the independent variables. Subject was included as a random effect, spinal region as within-subject factor and height and weight as covariates. Differences in changes with age between men and women were tested using an age—sex sex term in the regression model and differences in effect of age in spinal regions were tested using an age-region interaction term, with post hoc Bonferroni correction.

Age-related differences in muscle CSA and density in each spinal region were estimated from general linear regression models with adjustment for height and weight. Lowess curve fitting, xex a type of moving average, was used to assess whether the age-related differences in muscle size and density were linear or nonlinear.

We modeled all associations of muscle variables with sex separately for men and women. Age-related differences were reported both as absolute and percent differences, with the age group 40—49 years youngest chosen as the reference group. The sex-related differences in muscle density and size were assessed with mixed regression models with adjustment for height weight kamaz age and the differences were reported as percent differences, with the female age group 40—49 zex youngest age group chosen as the reference group.

We also further adjusted models for physical activity, but results were broadly similar, thus to use the most parsimonious model, we did not present this in the final results. To examine the overall age-related differences in muscle density and mass by muscle group and sex, we averaged muscle density across spinal regions and summed muscle CSA across spinal regions. Age-related differences were then estimated as previously described and p-values adjusted for multiple comparisons using the Bonferroni method.

To visualize the changes in muscle morphology with age, we plotted the mean values for each age group by sex after adjusting for height and weight using a linear regression model. All statistical analyses were performed using R software R The average weight was The lowess curve fitting indicated that the association between muscle density and age was linear.

Average muscle density HU by spinal level and age group with adjustment for height and weight. Kamaz and sex-related differences in trunk muscle density with adjustment for height and weight kaaz to spinal region. Age corr: pearson correlation coefficient between muscle density and age.

The lowess curve fitting kmaz that the decline in muscle size with age was linear. Average cross-sectional area mm 2 by spinal level and age group with adjustment for height kammaz weight. Age- and sex-related differences in aex muscle cross-sectional area with adjustment for height and weight according to spinal region.

Age corr: pearson correlation coefficient between muscle CSA and age. The percent difference in muscle size and density with age varied by muscle Fig. The percent differences in density with age for the muscles that stabilize the spine erector spine, transversospinalis, psoas major and quadratus lumborum did not differ between the sexes whereas the chest, abdominal and lateral muscles pectoralis major, rectus abdominis, serratus anterior, latissimus dorsi and external oblique showed 1.

In this cross-sectional community-based study, we determined the sex- and kamaz differences in trunk muscle density and size at both the thoracic and lumbar regions. We found that men had greater muscle size and density across all trunk muscles.

When expressed as an absolute difference, the diminution in muscle mass with age was greater in men than women, whereas there was no sex difference in the age-related decrement in muscle density.

However, when age-related changes were expressed as a percent decrement akmaz to young adults, trunk muscle mass declined similarly in men and women, but muscle density declines were greater in women than men. These findings have implications for physical function, disability, pain and risk of injury in older adults.

Notably, the greater relative age-related difference in trunk muscle density in women might contribute to the higher prevalence of certain musculoskeletal problems in women, including hyperkyphosis [ 11 ] and poorer balance control [ 29sex ].

Our results are consistent with those from prior studies showing that muscle size and density decrease with advancing age in people over 40 years old [ 52022 ]. Alterations in both muscle cross-sectional area and muscle density contribute to the reduced strength and poorer physical function in old age [ 19203234 ]. The effect of age on muscle size and density varied with specific muscles. Especially among women, age-related declines in muscle density were greater ssx the outer trunk muscles e.

Age-related deficits in density of the paraspinal muscles, which stabilize the spine, did not differ between the sexes, whereas the outer trunk trunk muscles showed greater percent age-related declines in women. As trunk muscles are important for stabilizing the spine, maintaining posture, and assisting in movements, more fat accumulation in these muscles with age in mamaz compared to men, kajaz explain, in part, greater functional deficits and higher risk of injury in older women than men [ 3035 — 37 ].

In fact, greater fatty infiltration has been shown to be associated with muscle sex [ 32 ] and mobility limitations [ 38 ]. Moreover, low trunk muscle density is associated with diminished functional capacity in healthy older adults, with stronger association detected for individuals with moderate to extreme low back pain [ 3 ].

Our results indicate that the relative age-related decline in muscle density and size is relatively uniform across spinal levels in this community based study. This finding differs from a prior study in men which reported greater changes at L5—S1 than L3—L4 [ 21 ]. We only detected variation in muscle density with age by spinal level for serratus anterior, latissimus dorsi and psoas major among women and trapezius in both sexes.

We found no obvious pattern, that is, sx spinal level consistently showed more rate of loss or preservation in muscle density than others. Men had significantly larger trunk muscles than women and greater absolute loss of muscle cross-sectional area with age, which aex in agreement what has been reported for skeletal muscle mass [ 39 ]. The mechanisms leading to greater age-related loss of muscle mass with age in men are incompletely understood but have been posited to be related to more profound related declines in sex steroids and sex hormones [ 3540 — 42 ].

Men had also significantly higher trunk muscle density than women, but similar absolute decline in muscle density than women which indicates that proportional accumulation of intramuscular fat is greater among women than men. The factors contributing to age-related accumulation of intramuscular fat are not well understood [ 43 ].

Our findings indicated that there might be a need to identify appropriate interventions to target specific muscles that we observed to demonstrate the greatest age-associated decreases. For example, Goodpaster et al. We showed that whereas advancing age negatively affects all trunk muscle groups, some muscles show greater declines than others.

Thus, strategies to maintain trunk muscles may need to kamas targeted to specific muscles. To the best of our knowledge, the effectiveness of exercise programs to maintain kamz muscle density with advancing age in sex older adults sex not been established.

Future studies investigating this could lead to interventions to preserve mobility and reduce injury older people. This study has several limitations. First, the data come from a cross-sectional study that might introduce survival effect bias, such that healthier people may have been more likely to survive to old age and be examined in this cross-sectional study. Thus, we may have underestimated the true age-related declines in trunk muscle morphology.

Moreover, although we adjusted for some of potential confounding variables, we could not exclude the possibility that other covariates may have influenced the age-related differences in muscle density and CSA.

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