Fábio Araújo1, Raquel Lucas2, Nuno Alegrete3, Ana Azevedo4, Henrique Barros2. 1. Institute of Public Health - University of Porto (ISPUP), Rua das Taipas, 135-139, 4050-600 Porto, Portugal; Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, Al. Prof. Hernâni Monteiro, 4200-319 Porto, Portugal. Electronic address: fabio.araujo@ispup.up.pt. 2. Institute of Public Health - University of Porto (ISPUP), Rua das Taipas, 135-139, 4050-600 Porto, Portugal; Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, Al. Prof. Hernâni Monteiro, 4200-319 Porto, Portugal. 3. Centro Hospitalar São João, Al. Prof. Hernâni Monteiro, 4200-319 Porto, Portugal; Department of Surgery, University of Porto Medical School, Al. Prof. Hernâni Monteiro, 4200-319 Porto, Portugal. 4. Institute of Public Health - University of Porto (ISPUP), Rua das Taipas, 135-139, 4050-600 Porto, Portugal; Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, Al. Prof. Hernâni Monteiro, 4200-319 Porto, Portugal; Centro Hospitalar São João, Al. Prof. Hernâni Monteiro, 4200-319 Porto, Portugal.
Abstract
BACKGROUND CONTEXT: Sagittal standing posture is associated with musculoskeletal symptoms and quality of life. However, the frequency and determinants of suboptimal sagittal alignment outside the clinical context remain to be clarified. PURPOSE: To estimate the association of sociodemographic, anthropometric, and behavioral characteristics with sagittal standing posture among adults from the general population. STUDY DESIGN: Cross-sectional evaluation of a population-based sample. PATIENT SAMPLE: As part of the EPIPorto study, 489 adults were assessed during 2005 to 2008. OUTCOME MEASURES: Individual spinopelvic parameters were measured. Additionally, participants were classified into one of four types of sagittal postural patterns (Roussouly classification: Types 1, 2, and 4 corresponding to nonneutral postures and Type 3 to a neutral posture). METHODS: Spinopelvic parameters were recorded from 36-inch sagittal radiographs obtained in free-standing posture. Age, sex, education, occupation, body mass index (BMI), waist circumference, total physical activity, leisure time physical activity, time spent in sitting position, smoking status, and tobacco cumulative exposure were collected. Individual parameters and patterns of sagittal posture were compared across categories of participants' characteristics. RESULTS: Older age, lower educational level, blue collar occupation, and overall and central obesity were associated with increased sagittal vertical axis and pelvic tilt/pelvic incidence ratio. Taking the neutral postural pattern (Type 3) as reference for the outcome in a multinomial regression model, independently of age, sex, education, total physical activity, and smoking status, overweight adults had higher odds of Type 2 (odds ratio [OR]=1.92; 95% confidence interval [CI]: 1.13-3.27) and Type 4 (OR=2.13; 95% CI: 1.16-3.91) postural patterns in comparison with normal weight subjects. Overall and central obesity were positively related with Type 1 postural pattern (OR=6.10, 95% CI: 1.52-24.57 and OR=3.54, 95% CI: 1.13-11.11, respectively). There was also a weak direct association between female sex and Type 1 postural pattern. Regarding behavioral factors, subjects with total physical activity above the first third exhibited all nonneutral postural patterns less frequently, and current smokers were more likely to present a Type 4 postural pattern. CONCLUSIONS: Higher BMI and central obesity were important potential determinants of nonneutral posture among adults from the general population. Future research should investigate the potential effectiveness of overweight prevention and management in avoiding sagittal misalignment conditions.
BACKGROUND CONTEXT: Sagittal standing posture is associated with musculoskeletal symptoms and quality of life. However, the frequency and determinants of suboptimal sagittal alignment outside the clinical context remain to be clarified. PURPOSE: To estimate the association of sociodemographic, anthropometric, and behavioral characteristics with sagittal standing posture among adults from the general population. STUDY DESIGN: Cross-sectional evaluation of a population-based sample. PATIENT SAMPLE: As part of the EPIPorto study, 489 adults were assessed during 2005 to 2008. OUTCOME MEASURES: Individual spinopelvic parameters were measured. Additionally, participants were classified into one of four types of sagittal postural patterns (Roussouly classification: Types 1, 2, and 4 corresponding to nonneutral postures and Type 3 to a neutral posture). METHODS: Spinopelvic parameters were recorded from 36-inch sagittal radiographs obtained in free-standing posture. Age, sex, education, occupation, body mass index (BMI), waist circumference, total physical activity, leisure time physical activity, time spent in sitting position, smoking status, and tobacco cumulative exposure were collected. Individual parameters and patterns of sagittal posture were compared across categories of participants' characteristics. RESULTS: Older age, lower educational level, blue collar occupation, and overall and central obesity were associated with increased sagittal vertical axis and pelvic tilt/pelvic incidence ratio. Taking the neutral postural pattern (Type 3) as reference for the outcome in a multinomial regression model, independently of age, sex, education, total physical activity, and smoking status, overweight adults had higher odds of Type 2 (odds ratio [OR]=1.92; 95% confidence interval [CI]: 1.13-3.27) and Type 4 (OR=2.13; 95% CI: 1.16-3.91) postural patterns in comparison with normal weight subjects. Overall and central obesity were positively related with Type 1 postural pattern (OR=6.10, 95% CI: 1.52-24.57 and OR=3.54, 95% CI: 1.13-11.11, respectively). There was also a weak direct association between female sex and Type 1 postural pattern. Regarding behavioral factors, subjects with total physical activity above the first third exhibited all nonneutral postural patterns less frequently, and current smokers were more likely to present a Type 4 postural pattern. CONCLUSIONS: Higher BMI and central obesity were important potential determinants of nonneutral posture among adults from the general population. Future research should investigate the potential effectiveness of overweight prevention and management in avoiding sagittal misalignment conditions.
Authors: Christina I Esposito; Theodore T Miller; Han Jo Kim; Brian T Barlow; Timothy M Wright; Douglas E Padgett; Seth A Jerabek; David J Mayman Journal: Clin Orthop Relat Res Date: 2016-03-28 Impact factor: 4.176
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Authors: George A Koumantakis; Maria Nikoloudaki; Sara Thacheth; Kalliroi Zagli; Konstantina Bitrou; Andreas Nigritinos; Leon Botton Journal: Adv Orthop Date: 2016-10-23
Authors: Fábio A Araújo; Raquel Lucas; Andrew J Simpkin; Jon Heron; Nuno Alegrete; Kate Tilling; Laura D Howe; Henrique Barros Journal: BMJ Open Date: 2017-07-26 Impact factor: 2.692
Authors: Robert K Merrill; Jun S Kim; Ian T McNeill; Samuel C Overley; James E Dowdell; John M Caridi; Samuel K Cho Journal: Global Spine J Date: 2017-05-16