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Standard reference values of the upper body posture in healthy male adults aged between 51 and 60 years in Germany


Comparative values are essential for the classification of orthopedic abnormalities and the assessment of a necessary therapy. At present, reference values for the upper body posture for healthy, male adults exist for the age groups of 18–35, 31–40 and 41–50 years. However, corresponding data on the decade of 51 to 60 year-old healthy men are still lacking. 23 parameters of the upper body posture were analyzed in 102 healthy male participants aged 51–60 (55.36 ± 2.78) years. The average height was 180.76 ± 7.81 cm with a weight of 88.22 ± 14.57 kg. The calculated BMI was 26.96 ± 3.92 kg/m2. In the habitual, upright position, the bare upper body was scanned three-dimensionally using video raster stereography. Mean or median values, confidence intervals, tolerance ranges and group comparisons, as well as correlations of BMI and physical activity, were calculated for all parameters. The spinal column parameters exhibited a good exploration of the frontal plane in the habitual standing position. In the sagittal plane, a slight, ventral inclination of the trunk with an increased kyphosis angle of the thoracic spine and increased thoracic bending angle was observed. The parameters of the pelvis showed a pronounced symmetry with deviations from the 0° axis within the measurement error margin of 1 mm/1°. The scapula height together with the scapula angles of the right and left side described a slightly elevated position of the left shoulder compared to the right side. The upper body posture is influenced by parameters of age, height, weight and BMI. Primarily there are significant correlations to measurements of trunk lengths D (age: p ≤ 0.02, rho = -0.23; height: p ≤ 0.001, rho = 0.58; weight: p ≤ 0.001, rho = 0.33), trunk lengths S (age: p ≤ 0.01, rho = -0.27; height: p ≤ 0.001, rho = 0.58; weight: p ≤ 0.001, rho = 0.32), pelvic distance (height: p ≤ 0.01, rho = 0.26; weight: p ≤ 0.001, rho = 0.32; BMI: p ≤ 0.03, rho = 0.22) and scapula distance (weight: p ≤ 0.001, rho = .32; BMI: p ≤ 0.01, rho = 0.27), but also to sagittal parameters of trunk decline (weight: p ≤ 0.001, rho = -0.29; BMI: p ≤ 0.01, rho = -0.24), thoracic bending angle (height: p ≤ 0.01, rho = 0.27) and kyphosis angle (BMI: p ≤ 0.03, rho = 0.21). The upper body posture of healthy men between the ages of 51 and 60 years was axially almost aligned and balanced. With the findings of this investigation and the reference values obtained, suitable comparative values for use in clinical practice and for further scientific studies with the same experimental set-up have been established.


Demographic change reveals that the average age of the population continues to rise and that the proportion of older generations in relation to the younger ones1,2 is increasing due to improved medical care2, an increasing life expectancy3 and a declining birth rate4. The world of labor is subject to a similar development; the retirement age is being raised further and the possibility, even for chronically ill persons, to apply for an early retirement at the age of 55 years is becoming much more difficult5,6. The average age of salaried assembly line workers in Germany is now 50 years, compared to 30 years only 20 years ago6. According to a study for the Federal Statistical Office by Booz & Company7, 40% of the workforce in Germany will be between 50 and 65 years old by 2024. The combination of aging and prolonged work phase, with the accompanying increased physical and mental stress experienced by the older person, will prognostically increase the occurrence of certain diseases8; these include, above all, mental illnesses, cardiac insufficiencies, joint degeneration and back problems9. In Germany, the most recent 2020 health surveys found that 66% of women and 56.4% of men suffer from back pain, of which 23.2% complain of severe pain and 6.4% even report significant impairment due to back pain10,11. One 2020 health survey10 states that men in the age decade of 50–59 years complain most frequently of back pain at 63% and, furthermore, the largest proportion of patients with very severe complaints is also within this age group for both sexes. In this context, the increasing digitalization and tertiarization of the work sector must also be taken into account. With the shift of sedentary work in a desk environment, with air conditioning, unnatural light and reduced physical challenges may develop musculoskeletal complaints12,13. Work-related psychosocial stress, which is characterized by high workload, low social support, low job satisfaction and monotonous work, also harbors a potential risk of musculoskeletal disorders13.

Fundamentally, posture is a multifactorial construct, including internal14, hormonal15 and psychological16 factors that can cause change. This complex concatenation demonstrates the difficulty of making a reliable diagnosis. Thus, a detailed anamnesis is the basis of any diagnosis, followed by an examination of the patient, possibly supported by technical aids and laboratory findings. For the evaluation of these findings, it is necessary to have comparable reference values available in order to classify corresponding deviations and to be able to draw therapeutic conclusions. Accordingly, it makes sense to determine the corresponding standard values of the upper body statics in an unstressed group of people in order to compare these with pathological findings and, thus, aid in confirming the diagnosis. Data on posture in selected subject groups, such as mentally ill persons17, scoliosis patients18, male and female children aged 7–9 years19 and men and women aged over 60 years (n = 70)20, do exist. The latter authors were able to prove that males have a significantly increased lumbar lordosis angle compared to females of the same age. In a second paper21, the focus was limited to a comparison of 130 female participants, between 60 and 90 years of age, with 130 female young adults between 20 and 25 years of age using the same study design. It was found that the older the subjects were, the more forward tilt of the upper body occurred, with the gamma angle of the thoracic spine increasing significantly from 38.42° in 60–70 year-olds to 54.28° in the 81–90 year-old age group. The thoracic depth increased by 26.69 mm between the same age decades (mean 60–70 years: − 0.47 mm; mean 81–90 years: − 27.16 mm). Moreover, the asymmetry of the shoulder position increased with age. Similar results were obtained by the photometric study of Gong et al.22; the greatest age-related deviations were found in the increased curvature of the cervical and thoracic spine from the age of 50 years. In addition, Grabara et al.23,24 recorded sport-specific characteristics of the upper body posture.

The major project of Ohlendorf’s research group has previously determined age- and gender-specific reference values of the dorsal upper body posture in subjectively healthy participants25. Therefore, within this research group, there already exists relevant comparative values of the back parameters for male subjects between the ages of 18 and 35 years26, 31–40 years27 and 41 to 50 years28 and for females between the ages of 21–30 years29 and 51–60 years30. Thus, the present study, as a component of the research group, sought to present appropriate evaluations for a male subject population aged 51–60 years.

The study's participants were male and between the ages of 51 to 60 years; this meant that they had been in the workforce for a long time, the body was no longer as adaptable31,32 and that physical changes could be detected33,34.

Hence, this study would provide a better understanding of the upper body posture of a healthy male in this age group in relation to these variables and would present the corresponding comparative values to existing pathologies.

Material and methods

This study is part of a major project25, parts of which, related to the standard values of upper body posture, have already been published27,30,35,36,37.


The present study examined 102 subjectively healthy men aged 51 to 60 years (55.36 ± 2.78 years) with a height of 180.76 ± 7.81 cm and a weight of 88.22 ± 14.57 kg. The resulting body mass index (BMI) ranged from 20.76 to 39.68 kg/m2 (26.96 ± 3.92 kg/m2). Based on the BMI classification according to the WHO criteria38, 38 subjects (37.25%) were, thus, classified as normal weight (BMI 18.5–24.9 kg/m2), 46 (45.10%) were considered preadipose (BMI 25–29.9 kg/m2) and 18 participants (17.65%) were counted as being obese (BMI ≥ 30 kg/m2). Four of the obese subjects were found to have second-degree obesity (BMI 35–39.99 kg/m2) according to the definition38, but this was not further subdivided in this study. Underweight subjects (BMI < 18.5 kg/m2) were not present among the subject collective. Concerning handedness, 86.28% (n = 88) of the men were right-handed, 9.80% were left-handed (n = 10) and 3.92% (n = 4) were ambidextrous.

Regarding sports activity, 27.45% rarely to never exercised, 28.43% exercised once or twice a month, 19.61% exercised once a week, 16.67% exercised regularly twice a week, while 7.84% exercised at least three times a week. Accordingly, various occupational groups of different daily workloads, which ranged from software developers to postal workers to employees in nursing services, were integrated and, thus, represented a broad cross-section of the population.

In terms of occupational stress, 45.10% of the study participants reported having a sedentary job, 20.59% were more likely to have a varied job and 29.41% were more severely exposed to physical stress through work, however, 4.90% did not provide any information on this subject.

Participation in the study required the subject to be free from complaints, which inferred unrestricted mobility and freedom from complaints regarding the musculoskeletal system. Furthermore, the absence of current discomfort, pain or disease of the spine, musculoskeletal system and temporomandibular system, and the absence of surgery/injury within the past two years in these areas were required for participation. Finally, the subjects were required neither to be undertaking physical therapy nor orthopedic treatment and not to be using muscle relaxants or have any physician-diagnosed physical deformities at the time of the study. No radiation-based measurements, such as X-ray or CT, were performed for the status of the spine to confirm the health status of the subjective subject statement. Non necessary radiation is considered unethical in Germany. In addition, other medical history information was collected, such as information on headaches/migraines, temporomandibular joint disorders, orthodontic treatment, handedness, age, height and weight. For this purpose, a modified medical history form of the Dental University Institute of the Johann Wolfgang Goethe University Frankfurt am Main was used39.

An approved ethics application from the Department of Medicine of the Johann Wolfgang Goethe University has been submitted for the performance of this study (Ethics No. 103/16). All methods were performed in accordance with the relevant guidelines and regulations" (e.g. Declaration of Helsinki).

Three-dimensional back measurement

The "Back Mapper Mobile" back scanner (ABW GmbH, Frickenhausen, Germany) was used in this study. This measures at a maximum frame rate of 50 frames per second with a depth resolution of 1/100 mm. According to the manufacturer, it has a feature accuracy of < 1 mm and a feature repeatability of < 0.5 mm. According to the manufacturer, the accuracy of the marker placement is less than one millimeter. It should be noted that the feature accuracy is synonymous with the accuracy of the measured parameters, however, the accuracy of the marker placement is not the same as the operator-dependent reproducibility (see limitations). Specifying the decimal places in the results does not increase the accuracy of the measurement. Usually, rounded integers are given. However, it was used this way for better statistical analysis.

The scanner unit contains the light projector which casts the strip grid onto the object, and an LED camera which detects the line curvature image. Using the triangulation technique, the upper body posture can, thus, be displayed in three dimensions, divided into three areas (spine, pelvic girdle and shoulder girdle). Overall, this is a radiation-free and non-invasive measurement method.

Studies, e.g., by Liljenqvist et al.40, Drerup et al.41 and Schroeder et al.42 show that video raster stereography as a noncontact, three-dimensional surface measurement is a reliable method for measuring the spine and is capable of validly reproducing isolated radiographic parameters.

Examination procedure

Prior to the start of the measurements, each participant had six anatomical reflective markers taped onto their bare back; these were necessary for the software to calculate the parameters. These six reference points included the vertebra prominens (cervical vertebra C7), the right and left angulus inferior scapulae, the right and left spina iliaca posterior superior and the most cranial point of the rima ani (Fig. 1).

Figure 1
figure 1

Marking of the six anatomical fixed points. These points comprised the vertebra prominens (cervical vertebra C7), the right and left angulus inferior scapulae, the right and left spina iliaca posterior superior and the most cranial point of the rima ani.

For the measurements, the subject stood at about 90 cm in front of the back scanner with a shoulder-width stance in an upright, habitual posture with a gaze directed freely straight ahead and the arms hanging relaxed beside the body. The axial alignment of the test person is ensured by a template which, starting from the scanner's stool, on the one hand ensures the exact distance between the subject and the scanner and, on the other hand, a bar is attached to the other end which the heels of the test person to be measured touch. The measurements were repeated three times to statistically reduce the postural sway.

Evaluation parameters

During the optical measurement of the body statics, further relevant points were determined by the associated software with the aid of the six marked reference points. Based on these points and the lines formed from them, the software of the ABW Mapper calculated a total of 23 distances and angles of the spine (13), pelvis (5) and shoulder girdle (5) in all three planes. An explanation of all the parameters can be found in Ohlendorf et al.25 and in Table 1.

Table 1 Representation of the median/mean values, the tolerance ranges with lower and upper limits and the confidence intervals with left and right limits for all back parameters.

Statistical evaluation

The statistical evaluations of the collected measurement results were carried out with the software program BIAS, version 11.10 (epsilon-Verlag GbR, Darmstadt). In order to be able to make the selection for the suitable test procedures, the normal distribution for each measurement parameter was checked by means of the Kolmogoroff-Smirnoff-Lilliefors test. Accordingly, parametric or non-parametric tests were used. For the descriptive statistics, mean or median values, either with the corresponding standard deviation or the 1st and 3rd quartiles, were determined as well as the tolerance range (TR) with its lower (loL) and upper limits (uL) and the confidence interval (CI) with the left (leL) and right limits (rL).

Tolerance regions were defined by the upper and lower limit for 95% of all values (= ± 2σ values), which have been found in about 95% of the examined subjects. Here, all values have to be considered as normal. Consequently, the tolerance range estimates the central part of 95% of the value of the measured subject population. The two-sided 95% CI indicates the possible range for the mean or median value depending on the distribution quality. It shows the ‘accuracy’ of these values.For a group comparison of more than two groups, the Kruskal–Wallis test for non-normally distributed data was used followed by the Conover-Iman test including Bonferroni-Holm correction. The effect size "eta2" was set according to Rasch (eta2 = 0.01 small effect, eta2 = 0.06 medium effect, eta2 = 0.14 large effect).

With regard to the correlation calculations, the rank correlation according to Spearman or Pearson was used. The correlation coefficient rho was evaluated in its effect strength according to Evans (rho < 0.2 very weak, rho = 0.2–0.4 weak, rho = 0.4–0.6 moderate, rho = 0.6–0.8 strong, rho > 0.8 optimal). The significance level was set at 5%.

Ethics approval and consent to participate

This study was approved by the Ethics Committee of the Department of Medicine of the University Hospital of the Goethe University Frankfurt am Main (Number: 103/16). All participants signed an informed consent to participate in advance, so the consent was written. Minors were excluded as participants of this study.


Table 1 lists the median and mean values with the corresponding tolerance ranges (TR) and confidence intervals (CI) obtained in this study.

The trunk length D had a mean value of 497.55 mm (. The trunk length S was approximately 40 mm longer and averaged 536.26 mm. The upper body inclination of the subjects was, on average, − 3.71° ventrally inclined. In the frontal plane, the trunk deviated an average of 0.35° to the left. The axial deviation of the spine to the pelvis, with a mean value of − 0.31°, also indicated a slight leftward tilt of the upper body.

The thoracic bending angle with its mean value of 17.43° described a stronger kyphosis of the cranial thoracic section compared to the caudal section, which was characterized by the lumbar bending angle with a mean value of 10.82°. The kyphosis angle of the thoracic spine averaged 53.99° in the subjects. The lordosis angle of the lumbar spine was 33.40° on average. The spine was tilted to the right by an average of 3.76 mm and also rotated in the transverse plane by 3.90°.

The measurement parameters of the basin showed a mean value of the basin distance of 93.85 mm. The mean basin level was nearly horizontal at − 0.01° and 0.07 mm, respectively. Here, positive values described a higher pelvic level on the right side; a negative sign indicated an increased pelvic level on the left side. The pelvic torsion describes the twisting of the pelvic blades in relation to each other and was indicated with a mean value of − 0.20° in the test subjects. Accordingly, the left side of the pelvis was, on average, minimally more upwardly directed. The pelvic rotation was − 0.71°, after which there was a slight, right-sided rotation in which the right side of the pelvis was more anterior.

The mean scapula distance was 197.70 mm. In addition, the scapula was minimally more cranial on the left (− 0.37 mm) and tended to be rotated 1.15° dorsally on the right. Overall, the left shoulder was minimally more cranial. Here, the median value of the left shoulder stance angle was 26.13° and the median value of the right shoulder stance angle was 28.21°.

Analysis of constitutional and anamnestic parameters

Table 2 presents the data on the correlation between the age, height, weight and calculated BMI versus the back parameters.

Table 2 Presentation of the p-values with associated correlation coefficients.

The subject age showed a negative correlation to the trunk length D and trunk length S indicating that the trunk length reduced with increasing age.

Furthermore, a positive, significant correlation between body size and trunk length D as well as S, the thoracic bending angle and pelvic distance could be observed. In addition, correlations of body size to thus, the taller the participants, the more curved is the upper thoracic segment and the wider the pelvic distance.

There were also significant correlations with p-values of ≤ 0.001 between weight and the trunk length D, trunk length S, pelvic distance, scapula stance and sagittal trunk tilt. This means that with increasing weight, the participants were found to be taller and wider in the pelvic and scapular distance, respectively, with the trunk tilting further ventrally the heavier the participant.

The BMI was also statistically related to sagittal trunk decline, pelvic and scapula stance. As well as the kyphosis angle, such that the kyphosis angle of the thoracic spine increased the heavier the subjects were.

All other correlations were not statistically significant.

For the grouping of the BMI according to the WHO criteria (normal weight, preadipose, obese), the group comparisons per back parameter yielded a statistical significance only for the kyphosis angle (p ≤ 0.05, eta2 = 0.06). In the subsequent multiple Conover-Iman comparisons, there were no significant pairwise comparisons following Bonferroni-Holm correction.

Sports activity

The data of the subjects' sports activity were divided into four relevant group sizes (1: rarely/never, 2: once a month, 3: once a week, 4: twice a week) and compared with each other (group 5, due to too small a group size, was excluded from the analysis). A significance in the pelvic level (°) (p ≤ 0.5; eta2 = 0.09) was no longer supported following a Conover-Iman comparison including Bonferroni-Holm correction. All other comparisons were not statistically significant.


With an average height of 180.76 cm, this study's subjects are almost the same height as younger men in previous studies27,35,37. Furthermore, the average weight (88.22 kg) of the subjects and their calculated BMI (26.96 kg/m2) differ little from those in the study of 41- 50 year-old men (weight: 88.76 kg; BMI: 26.02 kg/m2)37. However, in previous studies, younger subjects (aged 18 to 35 years) were significantly lighter (77.20 kg) than those of the present study and also had a lower BMI (23.60 kg/m2)35, while the parameters of men aged 31–40 years were close to those of the present group with their weight (85 kg) and calculated BMI (26.20 kg/m2)27. Nevertheless, the values of all age groups correlate with the current data of the Federal Statistical Office43. Only from the age of 60 to 65 years do the height and weight, with a relatively constant BMI, decrease again at an increasing rate43,44.

In contrast, the upper body posture in the present collective is almost symmetrical in the frontal plane, with a slightly ventrally directed upper body. Furthermore, there is a rightward curvature of the spine (3.76 mm) with the vertebral bodies rotated to the right (3.90°). Measured from the apex of the thoracic spine, the thoracic bending angle averaged 17.43°; this is 6.61° greater than the lumbar bending angle (10.82°) indicating a greater kyphosis of the thoracic spine with a propulsed head posture. A significantly larger kyphosis angle of 53.99° compared to the lordosis angle of 33.40° confirms these data.

The pelvis (pelvic distance: 93.85 mm) is nearly symmetrical and balanced, as is the shoulder area (scapula distance 197.70 mm). However, the right shoulder is minimally more cranial than the left, with little dorsal right rotation; this could be related to the general rotation of the spine to the right. Overall, the participating subjects exhibit a relatively symmetrical, plumbed posture as several measurement data fall within the ± 1°/1 mm measurement error range.

The present data can be classified according to the pre-existing data of the whole project25 concerning the reference values of the upper body posture of male subjects aged 18–35 years35, 31–40 years27 and 41–50 years37. A comparison of the present study's male reference values of constitutional parameters and back parameters with other age groups of this project is shown in Table 3.

Table 3 Comparison of the median and mean values of the constitutional parameters and back parameters of different male age groups from the research of Ohlendorf et al.

The most noticeable changes are in the kyphosis and lordosis angles. Both angles increase with age, with the kyphosis angle showing an overall increase of 8.14° and the lordosis angle increasing somewhat more weakly by 2.73° compared to the 18–35 year-old male age group35. Similarly, matching the effect of age on the kyphosis angle is the increase of the thoracic bending angle by 2.67° when compared to that of the 41–50 year-old men37. The greater curvature of the lumbar lordosis can be explained by the increasing body weight or BMI in that possibly the weight of the abdominal fat causes ventral traction45. In addition, there is a decrease in muscle mass with increasing age and associated body tension46,47 which favors a protracted shoulder position. Less than 45% of the present study's cohort exercised at least once a week and, furthermore, 45.10% of the subjects had a sedentary office job. These characteristics mainly favor the decrease of musculature in the scapula region and a decreasing strength for straightening of the back48,49,50,51. This reasoning also supports the observation of the increasing scapula distance with age, which steadily increases from 179.23 mm (18–35 year-olds35) to 197.70 mm (51–60 year-olds). For the other parameters, the differences are within the range of the measurement error and do not indicate any relevant, age-specific changes.

When looking at the results for the female subjects of the same age30 in this series of examinations, summarized in Table 4, it can be seen that the largest gender-specific differences exist for the lordosis and kyphosis angles. The lordosis angle of the female subjects is 52.61°, which is a difference of 19.21° of increased lumbar lordosis compared to the median value of the males (33.40°). The kyphosis angle of females is also more pronounced, but only with a difference of 6.50° (median males: 53.99°; median females: 60.49°). This shows that the curvature of the spine of the female test subjects has a clearly pronounced amplitude overall. In contrast, the spine of male participants stands somewhat straighter, which can be explained by the anatomical differences between the sexes52. The female pelvis shows a different shape and position to the surrounding joints53. The sacrum is anatomically located between the pelvic scoops with a steeper angle of 60° in females, whereas the pelvic tilt angle is lower at 50–55° in males54,55. This inclination continues to the lumbo-sacral junction and, thus, provides for the stronger lordosis position in the lumbar region56,57,58 which is compensatorily accompanied by a likewise, more pronounced oscillation of the thoracic spine kyphosis59. Further deviations from the normal values of the back parameters from the results of the corresponding female age group30 are found for the trunk lengths D and S with 45.23 mm and 48.64 mm, respectively, as well as a difference in the scapula distance (33.64 mm). These differences can be explained by the different anatomical conditions. All other parameters show no gender-specific abnormalities. Accordingly, age- and sex-specific deviations of the normal values can be described.

Table 4 Comparison of the median and mean values of the constitutional parameters and back parameters of males and females in the age group 51 to 60 years from the research of Ohlendorf et al.

Age is significantly related to the trunk length D (p ≤ 0.02; rho = − 0.23) and trunk length S (p ≤ 0.001; rho = − 0.27) with a weak effect size. Thus, the trunk length shortens with age, although this correlation could not be established in the younger age groups26,28. Possible explanations for a decrease in trunk lengths with age can be seen in the reduced turgor of the intervertebral discs60. The intervertebral discs swell less during the unloading phase, resulting in a significantly reduced trunk length that can be measured in total. However, other studies have revealed that a significant reduction in trunk size occurs only after the age of approximately 60 years43,44.

The increase in trunk lengths D and S, the thoracic bending angle and the pelvic distance with increasing body height can be explained by the anthropometric standard values of body proportions, i.e. the body parts are in relative proportion to each other61,62,63. For body weight, it can be summarized that the trunk lengths and the distances of the pelvic blades and the scapulae, respectively, increase with increasing body weight, and that there is a greater ventral inclination of the upper body the heavier the subjects are. Similar conclusions can be drawn when looking at the results on BMI. Pelvic and scapular distances and the kyphosis angle increase with increasing BMI, whereas the sagittal trunk tilt decreases with increasing BMI. With increasing body weight or BMI, there is an anterior shift of the body's center of gravity64. This ventral pull requires increased effort from the back and shoulder muscles, however, muscle efficiency decreases with age65 thus resulting in yielding to the load. This produces in a protracted shoulder position and an increase in the scapula distance66. The increasing kyphosis angle of the thoracic spine and ventral trunk tilt are also due to increased weight-related degeneration of the spine and muscle weakness in relation to body mass67,68,69. The fact that only weight and not BMI is positively correlated with the trunk lengths is because taller people, usually, also weigh more70.

No group differences can be found with regard to the upper body posture during athletic activity. An explanation of this observation cannot be justified with the current literature. However, the classification of the groups cannot be compared in an optimal way because no distinction was made between the types of sports and the intensity performed in the study. Athletes who play golf once a week, for example, experience different physical demands than swimmers or cyclists.

With regard to the selection of the test subjects, it must be remembered that the assessment of subjective health was carried out by the test subjects themselves, without further mobility tests or a more specific anamnesis with possible scales for the assessment of pain and complaint patterns. However, it can be assumed that all participants can cognitively assess the significance of their statements. An examination by an orthopedic surgeon or another trained specialist could provide additional, objective information about the subjects' state of health. The number of past surgeries and some arthritic joint wear within this age group can also be considered as normal71.

When marking the anatomical structures with the reflective markers, palpation of these bone points proved to be more difficult, especially in obese participants, although this was easily overcome as the examiner was experienced. In order to ensure that the recording was always made in the habitual body posture, all participants were asked to perform loosening exercises beforehand. Repeating the scans several times should also reduce possible measurement errors, even though the manufacturer's specification for measurement inaccuracies of the ABW Back Mapper Mobile is already excellent at < 1 mm. The inter- and intra-test reliabilities and validities of video raster stereography are also high72,73,74,75, so this non-invasive method could be considered an alternative to radiographic examination. This has already been demonstrated in studies of idiopathic scoliosis76,77.

The comparison with younger age groups proves on the one hand the changes of the (upper) body posture in the course of life and proves at the same time that the back scanner used here as a topographic measuring method is able to represent and prove these changes. Since the recording of three-dimensional back posture is a fast and radiation-free procedure, it is suitable not only for rehabilitation, but also for preventive diagnostics and follow-up, for example to document the influence of physiotherapeutic therapy or medical training therapy. The comparisons listed between the younger age decades and the present age group describe the changes in upper body posture over the course of life. If these age-specific changes can be correlated with pathologies, it would be possible to improve posture and take preventive action against common complaints through adapted workplace ergonomics, targeted therapies and functional training.

The use of this technique, when taking measurements at different stages of a potentially progressive disease course, would be hugely beneficial as it would allow these stages to be classified by a non-invasive examination method. Overall, these comparisons could help to understand better the development and progression of pathology and, thus, possibly develop an earlier and more targeted therapy whilst the interdisciplinary cooperation would also be simplified.


Overall, an influence of the upper body posture with regard to the personal, constitutional data (age, height, weight, BMI) can be recognized. However, for the most part, only weak correlations were obtained which is why the clinical influence of these factors occupies such a low position. Thus, the present study made it possible to establish the norm values regarding the upper body posture of a homogeneous, healthy, male subject aged 51–60 years. These data can serve as a reference for future studies on a similar cohort with the same study design.

Data availability

The datasets supporting the conclusions of this article are included within the article.



Body mass index


Tolerance range


Confidence interval


  1. Bundestag, D. Demographischer Wandel-Herausforderungen unserer älter werdenden Gesellschaft an den Einzelnen und die Politik. Enquête Comm. Bundestags-Drucksache. 14, 8800 (2002).

    Google Scholar 

  2. Koch, U. & Petermann, F. Innovationen in der medizinischen Rehabilitation (Springer, 2011).

    Book  Google Scholar 

  3. Bundesamt, S. Bevölkerungsentwicklung Deutschland bis zum Jahr 2050, Ergebnisse der 9. In Koordinierten Bevölkerungsvorausberechnung Wiesbaden 1–26 (2000).

  4. Faik, J. Die demographische Entwicklung der Gesellschaft in Deutschland. Gynakologe 36(5), 413–416 (2003).

    Article  Google Scholar 

  5. Gellert, F. J., Kesselmann, M. & Wilke, C. B. Arbeitswelt im Wandel. Prävention und Gesundheitsförderung. 13(1), 12–17 (2018).

    Article  Google Scholar 

  6. Hahnzog, S. Betriebliche Gesundheitsförderung: Das Praxishandbuch für den Mittelstand (Springer-Verlag, 2014).

    Book  Google Scholar 

  7. Statistisches, B. Bevölkerung Deutschlands bis 2060. 12. Koordinierte Bevölkerungsvorausberechnung (2009).

  8. von der Lippe, E., Baumert, J. & Scheidt-Nave, C. Beitrag von spezifischen Krankheiten zu gesundheitlichen Einschränkungen-Ergebnisse des bundesweiten GEDA 2014/15-EHIS-Studie. Das Gesundheitswesen 79(08/09), P-IV-F-5 (2017).

    Google Scholar 

  9. Nowossadeck E. Demografische Alterung und Folgen für das Gesundheitswesen. 2012.

  10. von der Lippe, E. et al. Prävalenz von Rücken-und Nackenschmerzen in Deutschland (Ergebnisse der Krankheitslast-Studie Burden, 2021).

    Google Scholar 

  11. Lange, C. et al. Data resource profile: German Health Update (GEDA): The health interview survey for adults in Germany. Int. J. Epidemiol. 44(2), 442–450 (2015).

    PubMed  Article  Google Scholar 

  12. Deeney, C. & O’Sullivan, L. Work related psychosocial risks and musculoskeletal disorders: Potential risk factors, causation and evaluation methods. Work 34(2), 239–248 (2009).

    PubMed  Article  Google Scholar 

  13. Tint, P., Traumann, A., Pille, V., Tuulik-Leisi, V. & Tuulik, V. Computer users’ health risks caused by the simultaneous influence of inadequate indoor climate and monotonous work. Agron. Res. 10(1), 261–268 (2012).

    Google Scholar 

  14. Armann, J., Fried, T. Einfluss einer osteopathischen Behandlung des Diaphragma thorakolumbale auf die Statik des Körpers Eine randomisierte kontrollierte Studie. Bachelor-Arbeit zur Erlangung des akademischen Grades eines Bachelor of Science (2015).

  15. Moll, W. VII. Osteoarthronosis deformans. In Klinische Rheumatologie 219–237 (Karger Publishers, 1958).

    Google Scholar 

  16. Janowski, B. Das erschöpfte Selbst " Wer lässt uns Gutes sehen?"(Ps 4, 7): Internationale Studien zu Klagen in den Psalmen, 85, 95 (2017).

  17. Brink, Y., Louw, Q. & Grimmer-Somers, K. The quality of evidence of psychometric properties of three-dimensional spinal posture-measuring instruments. BMC Musculoskelet. Disord. 12, 93 (2011).

    PubMed  PubMed Central  Article  Google Scholar 

  18. Drerup, B. Rasterstereographic measurement of scoliotic deformity. Scoliosis 9(1), 22 (2014).

    PubMed  PubMed Central  Article  Google Scholar 

  19. Drzał-Grabiec, J. & Szczepanowska-Wołowiec, B. Weight-height ratios and parameters of body posture in 7-9-year-olds with particular posture types. Ortop. Traumatol. Rehabil. 13(6), 591–600 (2011).

    PubMed  Article  Google Scholar 

  20. Drzał-Grabiec, J., Rykała, J., Podgórska, J. & Snela, S. Changes in body posture of women and men over 60 years of age. Ortop. Traumatol. Rehabil. 14(5), 467–475 (2012).

    PubMed  Article  Google Scholar 

  21. Drzał-Grabiec, J., Snela, S., Rykała, J., Podgórska, J. & Banaś, A. Changes in the body posture of women occurring with age. BMC Geriatr. 13(1), 1–7 (2013).

    Article  Google Scholar 

  22. Gong, H. et al. Changes of upright body posture in the sagittal plane of men and women occurring with aging: A cross sectional study. BMC Geriatr. 19(1), 1–11 (2019).

    CAS  Article  Google Scholar 

  23. Grabara, M. Comparison of posture among adolescent male volleyball players and non-athletes. Biol. Sport 32(1), 79 (2015).

    CAS  PubMed  Article  Google Scholar 

  24. Grabara, M. Analysis of body posture between young football players and their untrained peers. Hum. Mov. 13(2), 120–126 (2012).

    Google Scholar 

  25. Ohlendorf, D., Mickel, C., Filmann, N., Wanke, E. M. & Groneberg, D. A. Standard values of the upper body posture and postural control: A study protocol. J. Occup. Med. Toxicol. 11(1), 1–13 (2016).

    Article  Google Scholar 

  26. Adjami, F. Zusammenhang Zwischen der Okklusion und der Oberkörperstatik (2015).

  27. Ohlendorf, D. et al. Standard reference values of the upper body posture in healthy male adults aged between 31 and 40 years in Germany-an observational study. J. Physiol. Anthropol. 40(1), 17 (2021).

    PubMed  PubMed Central  Article  Google Scholar 

  28. Gerez A. Zusammenhang zwischen Okklusion und Oberkörperhaltung bei gesunden Männern im Alter von 41 bis 50 Jahren, Johann Wolfgang Goethe-Universität Frankfurt am Main; 2019.

  29. Fisch, V. Korrelationen Zwischen der Okklusion und der Oberkörperstatik bei Frauen der Altersgruppe 21 bis 30 Jahre (Johann Wolfgang Goethe-Universität Frankfurt am Main, 2018).

    Google Scholar 

  30. Ohlendorf, D. et al. Standard reference values of the upper body posture in healthy middle-aged female adults in Germany. Sci. Rep. 11(1), 1–10 (2021).

    Article  CAS  Google Scholar 

  31. Siegrist, J. & Dragano, N. Berufliche Belastungen und Gesundheit. Kölner Z. Soziol. Sozialpsychol. Sonderheft. 46, 109–124 (2006).

    Google Scholar 

  32. Ehrler, W. & Huth, M. Körperliche leistungsfähigkeit 43-bis 45-jähriger und 62-bis 64-jähriger im Vergleich. In Aspekte der Entwicklung im Mittleren und Höheren Lebensalter 220–234 (Springer, 2000).

    Chapter  Google Scholar 

  33. Going, S., Williams, D. & Lohman, T. Aging and body composition: Biological changes and methodological issues. Exerc. Sport Sci. Rev. 23, 411–458 (1995).

    CAS  PubMed  Article  Google Scholar 

  34. Jackson, A. S., Janssen, I., Sui, X., Church, T. S. & Blair, S. N. Longitudinal changes in body composition associated with healthy ageing: Men, aged 20–96 years. Br. J. Nutr. 107(7), 1085–1091 (2012).

    CAS  PubMed  Article  Google Scholar 

  35. Ohlendorf, D. et al. Standard values of the upper body posture in male adults. Adv. Clin. Exp. Med. 27(11), 1521–1528 (2018).

    PubMed  Article  Google Scholar 

  36. Ohlendorf, D. et al. Standard reference values of the upper body posture in healthy young female adults in Germany: An observational study. BMJ Open 8(8), e022236 (2018).

    PubMed  PubMed Central  Article  Google Scholar 

  37. Ohlendorf, D. et al. Standard reference values of the upper body posture in healthy male adults aged between 41 and 50 years in Germany. Sci. Rep. 10(1), 1–7 (2020).

    Article  CAS  Google Scholar 

  38. Organization, W. H. Obesity: Preventing and Managing the Global Epidemic: Report of a WHO Consultation on Obesity, Geneva 3–5 June 1997 (World Health Organization, 1998).

    Google Scholar 

  39. Kopp, S. Okklusale und Klinisch Funktionelle Befunde im Cranio-Mandibulären System bei Kindern und Jugendlichen (Medizinische Habilitation, 2005).

    Google Scholar 

  40. Liljenqvist, U., Halm, H., Hierholzer, E., Drerup, B. & Weiland, M. 3-dimensional surface measurement of spinal deformities with video rasterstereography. Z. Orthop. Ihre Grenzgeb. 136(1), 57–64 (1998).

    CAS  PubMed  Article  Google Scholar 

  41. Drerup, B. & Hierholzer, E. Back shape measurement using video rasterstereography and three-dimensional reconstruction of spinal shape. Clin. Biomech. 9(1), 28–36 (1994).

    CAS  Article  Google Scholar 

  42. Schroeder, J., Reer, R. & Braumann, K. Video raster stereography back shape reconstruction: A reliability study for sagittal, frontal, and transversal plane parameters. Eur. Spine J. 24(2), 262–269 (2015).

    CAS  PubMed  Article  Google Scholar 

  43. des Bundes, G. G. Body-Mass-Index (im Durchschnitt und Verteilung der Bevölkerung auf Body-Mass-Index-Gruppen (in Prozent)). (Gliederungsmerkmale, 2017).

  44. Schienkiewitz, A., Mensink, G., Kuhnert, R. & Lange, C. Übergewicht und Adipositas bei Erwachsenen in Deutschland (Robert Koch Institu, 2017).

    Google Scholar 

  45. Onyemaechi, N. O., Anyanwu, G. E., Obikili, E. N., Onwuasoigwe, O. & Nwankwo, O. E. Impact of overweight and obesity on the musculoskeletal system using lumbosacral angles. Patient Prefer. Adherence 10, 291–296 (2016).

    PubMed  PubMed Central  Article  Google Scholar 

  46. Swash, M. & Fox, K. P. The effect of age on human skeletal muscle studies of the morphology and innervation of muscle spindles. J. Neurol. Sci. 16(4), 417–432 (1972).

    CAS  PubMed  Article  Google Scholar 

  47. Fleg, J. L. & Lakatta, E. G. Role of muscle loss in the age-associated reduction in VO2 max. J. Appl. Physiol. 65(3), 1147–1151 (1988).

    CAS  PubMed  Article  Google Scholar 

  48. Katzman, W. B., Wanek, L., Shepherd, J. A. & Sellmeyer, D. E. Age-related hyperkyphosis: Its causes, consequences, and management. J. Orthop. Sports Phys. Ther. 40(6), 352–360 (2010).

    PubMed  PubMed Central  Article  Google Scholar 

  49. Katzman, W. et al. Targeted spine strengthening exercise and posture training program to reduce hyperkyphosis in older adults: Results from the study of hyperkyphosis, exercise, and function (SHEAF) randomized controlled trial. Osteoporos. Int. 28(10), 2831–2841 (2017).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  50. Kado, D. M., Prenovost, K. & Crandall, C. Narrative review: Hyperkyphosis in older persons. Ann. Intern. Med. 147(5), 330–338 (2007).

    PubMed  Article  Google Scholar 

  51. Kim, D., Lee, D.-K. & Cho, H. A study on the VDT workstations usage for office workers. J. Ergon. Soc. Korea 34, 179–190 (2015).

    Article  Google Scholar 

  52. Singh, D. K. A., Bailey, M. & Lee, R. Decline in lumbar extensor muscle strength in older adults: Correlation with age, gender and spine morphology. BMC Musculoskelet. Disord. 14(1), 1–6 (2013).

    Article  Google Scholar 

  53. Hager, L. D. The Evolution of Sex Differences in the Hominid Bony Pelvis (University of California, 1989).

    Google Scholar 

  54. Wilke, H.-J., Fischer, K., Jeanneret, B., Claes, L. & Magerl, F. In-vivo-Messung der dreidimensionalen Bewegung des Iliosakralgelenks. Z. Orthop. Ihre Grenzgeb. 135(06), 550–556 (1997).

    CAS  PubMed  Article  Google Scholar 

  55. Zalpour, C. Springer Lexikon Physiotherapie (Springer, 2010).

    Book  Google Scholar 

  56. Gothner, M., Dudda, M. & Schildhauer, T. Anatomische aspekte und bildgebung zur lumbopelvinen fixation. Unfallchirurg 116(11), 979–984 (2013).

    CAS  PubMed  Article  Google Scholar 

  57. Streeck, U., Focke, J., Klimpel, L. & Noack, D.-W. Das Becken und die Iliosakralgelenke. In Manuelle Therapie und komplexe Rehabilitation 89–138 (Springer, 2007).

    Chapter  Google Scholar 

  58. Pries, E., Dreischarf, M., Bashkuev, M., Putzier, M. & Schmidt, H. The effects of age and gender on the lumbopelvic rhythm in the sagittal plane in 309 subjects. J. Biomech. 48(12), 3080–3087 (2015).

    PubMed  Article  Google Scholar 

  59. Barrey, C., Roussouly, P., Le Huec, J.-C., D’Acunzi, G. & Perrin, G. Compensatory mechanisms contributing to keep the sagittal balance of the spine. Eur. Spine J. 22(6), 834–841 (2013).

    PubMed Central  Article  Google Scholar 

  60. Schürer, R. Anatomie, physiologie und pathophysiologie der bandscheiben–eine literaturübersicht. Man. Med. 46(1), 23–26 (2008).

    Article  Google Scholar 

  61. Trippo, U. Körperbau, Körperzusammensetzung und Ernährungsgewohnheiten bei Erwachsenen in Abhängigkeit von Alter und Geschlecht (Universität Potsdam, 2000).

    Google Scholar 

  62. Martin, R. Körpermaße. In Anthropometrie 6–16 (Springer, 1929).

    Chapter  Google Scholar 

  63. Lewin, T. & Jürgens, H. W. Über die Vergleichbarkeit von anthropometrischen Daten. Z. Morphol. Anthropol. 61, 33–41 (1969).

    CAS  PubMed  Google Scholar 

  64. Doerry, C. Korrelationen Zwischen der Okklusion und der Posturalen Kontrolle bei Frauen der Altersgruppe 21 bis 30 Jahr (Johann Wolfgang Goethe-Universität Frankfurt am Main, 2017).

    Google Scholar 

  65. Volkert, D. Körperzusammensetzung im Alter. Aktuelle Ernährungsmedizin. 29(02), 69–77 (2004).

    Article  Google Scholar 

  66. Roldán-Jiménez, C. & Cuesta-Vargas, A. I. Age-related changes analyzing shoulder kinematics by means of inertial sensors. Clin. Biomech. 37, 70–76 (2016).

    Article  Google Scholar 

  67. Yagi, M., Patel, R. & Boachie-Adjei, O. Complications and unfavorable clinical outcomes in obese and overweight patients treated for adult lumbar or thoracolumbar scoliosis with combined anterior/posterior surgery. J. Spinal Disord. Tech. 28(6), E368-376 (2015).

    PubMed  Article  Google Scholar 

  68. Hiyama, A. et al. Correlation analysis of sagittal alignment and skeletal muscle mass in patients with spinal degenerative disease. Sci. Rep. 8(1), 15492 (2018).

    ADS  PubMed  PubMed Central  Article  CAS  Google Scholar 

  69. Reith, W., Bodea, S., Kettner, M., Mühl-Benninghausen, R. & Simgen, A. Degenerative und altersbedingte Veränderungen an der Wirbelsäule. Radiologe 54(11), 1069–1077 (2014).

    CAS  PubMed  Article  Google Scholar 

  70. Mensink, G. B. et al. Übergewicht und adipositas in deutschland. Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz 56(5), 786–794 (2013).

    CAS  PubMed  Article  Google Scholar 

  71. Kruse, A. et al. Themenheft 10 “Gesundheit im Alter” (Robert Koch Institu, 2002).

    Google Scholar 

  72. Melvin, M. et al. Reproducibility of rasterstereography for kyphotic and lordotic angles, trunk length, and trunk inclination: A reliability study. Spine 35(14), 1353–1358 (2010).

    PubMed  Article  Google Scholar 

  73. Guidetti, L. et al. Intra-and interday reliability of spine rasterstereography. BioMed Res. Int. 2013, 1–5 (2013).

    Article  Google Scholar 

  74. Tabard-Fougère, A. et al. Validity and reliability of spine rasterstereography in patients with adolescent idiopathic scoliosis. Spine 42(2), 98–105 (2017).

    PubMed  Article  Google Scholar 

  75. Yi, Y.-S., Yoo, S.-K., Lee, D.-G. & Park, D.-S. Reliability and validity of rasterstereography measurement for spinal alignment in healthy subjects. Phys. Ther. Rehabil. Sci. 5(1), 22–28 (2016).

    Article  Google Scholar 

  76. Schulte, T. L. et al. Raster stereography versus radiography in the long-term follow-up of idiopathic scoliosis. Clin. Spine Surg. 21(1), 23–28 (2008).

    Google Scholar 

  77. Krott, N. L., Wild, M. & Betsch, M. Meta-analysis of the validity and reliability of rasterstereographic measurements of spinal posture. Eur. Spine J. 29(9), 2392–2401 (2020).

    PubMed  Article  Google Scholar 

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Open Access funding enabled and organized by Projekt DEAL. No funding was obtained for this study. Open access funding provided by Projekt DEAL.

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D.O., D.K., W.C., H.A., F.K., G.O., C.M.G. and D.A.G. made substantial contributions to the conception and design of the manuscript. D.O., D.K., W.C. and D.A.G. made substantial contributions to the construction of the measurement protocol and D.O., D.K., H.A. and C.M.G. have been involved in the statistical data analysis. All authors have read and approved the final manuscript.

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Correspondence to Daniela Ohlendorf.

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Ohlendorf, D., Krüger, D., Christian, W. et al. Standard reference values of the upper body posture in healthy male adults aged between 51 and 60 years in Germany. Sci Rep 12, 6961 (2022).

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