Literature DB >> 22091254

Obesity predictors in people with chronic spinal cord injury: an analysis by injury related variables.

Hadis Sabour1, Abbas Noroozi Javidan, Mohammad Reza Vafa, Farzad Shidfar, Maryam Nazari, Hooshang Saberi, Abbas Rahimi, Hasan Emami Razavi.   

Abstract

BACKGROUND: Despite an elevated obesity risk in people with spinal cord injury (SCI), investigation on the effects of age, obesity predictors, and injury related factors is yet to be unknown within the SCI population.
METHODS: Obesity predictors were measured in 162 patients.
RESULTS: 27.5% of the participants were overweight and 5.6% of them were obese. Mean BMI was different between patients with tetraplegia and paraplegia (p < 0.01). More than 20% of participants had central obesity, significantly patients with higher age and time since injury.
CONCLUSIONS: Significant positive relationship was found between level of injury and BMI. Participants with higher age and time since injury had higher waist circumference.

Entities:  

Keywords:  Body Mass Index; Iran; Obesity; Spinal Cord Injuries

Year:  2011        PMID: 22091254      PMCID: PMC3214343     

Source DB:  PubMed          Journal:  J Res Med Sci        ISSN: 1735-1995            Impact factor:   1.852


Cardiovascular disease (CVD) is the most common cause of mortality and morbidity in long-term spinal cord injury (SCI).1 People with SCI have increased metabolic conditions compared with able-bodied populations.2 Despite the increased prevalence of obesity-related chronic problems, limited data have documented the obesity predictors of SCI patients and its relationship to disability indexes.1–3 A recent study in Iran showed that more than 60% of adults were obese or overweight.4 However, such data for those Iranian adults with disabilities are not available. On the other hand, results from studies confirm that waist circumference, which is used to evaluate abdominal obesity, may be more sensitive in identifying CHD risk than BMI in the people with SCI. However, according to our knowledge, few studies have assessed the obesity predictors of SCI patients and their relationship to disability indexes. So, the purpose of this study was to assess obesity predictors of people with SCI according to age, time since injury, level and completeness of injury. Because of the importance of obesity in individuals with SCI, we further examined the relationship between obesity predictors with age and injury related indicators.

Methods

This cross-sectional study was carried out from May 2008 to June 2009. One-hundred and sixty-two apparently healthy volunteers with chronic, traumatic SCI (> 1 year since injury) and mean age of 34.17 ± 0.69 years (131 men and 31 women) were recruited for the study. Exclusion criteria included: pregnancy, lactation, amputation, non trauma SCI etiology, a history of diabetes, bowel impaction, active decubitus ulcer, thyroid, hepatic or renal disorders and neurological disorders other than spinal cord injury. Participants were heterogeneous with respect to BMI and level and completeness of lesion. This questionnaire also included information on medications, smoking, education, marital status, recent illnesses, bowel and bladder function. The level and completeness of lesion were classified as Edwards et al proposed.3 Data were collected within the Brain and Spinal Injury Repair Research Center (BASIR) at Tehran University of Medical Sciences (Tehran, Iran) during a one-hour face to face interview. The protocol was approved by the ethics committee at Tehran University of Medical Sciences. Written informed consents were obtained from each patient at the beginning of the study.

Anthropometric Measures

Waist circumference (WC) was measured at the level of the lowest rib and classified based on Standard classification (men > 102 cm, women > 85 cm).5 All measurements were conducted by the same investigator. Triceps skin fold thickness (TSF) was measured by means of a Holtain LTD caliper. Self-reported height and weight were used to calculate BMA using the formula: BMI (kg/m2) = Body Weight (kg)/(Body Height)2 (m2) and the percentage of overweight and obese subjects were described.

Statistical Analysis

All statistical analyses were completed using SPSS Version 15.0 (SPSS Inc., Chicago IL, USA). Descriptive statistics are presented as mean ± SD for all participants and for each group. P value < 0.05 indicated statistical significance. Pearson correlation analyses were performed to test the relationship of the obesity predictors with age and time since injury.

Results

In this study, 162 patients with chronic spinal cord injury, aged 18 to 62 years, were recruited. There were 131 (80.9%) male patients and 31 (19.1%) female patients. The mean age was 34.17 years (age range 18-62 years). Out of the total number of participants with spinal cord injury, there were 94 (58%) patients with tetraplegia and 68 (42%) with paraplegia. The mean duration of injury was 8 years (range: 2-40 years). In all participants, 114 (70.4%) had incomplete injury, and 48 (29.6%) had complete injury. The patients with paraplegia had a mean BMI of 24.44 kg/m2, while the patients with tetraplegia had a mean BMI of 22.66 kg/m2 and this difference was statistically significant (p < 0.01). The distribution of BMI by level and completeness of injury is shown in table 1. A total of 82 (51.3%) patients had a normal BMI (BMI 18.5-25 kg/m2), 27.5% were overweight (BMI 25-29.9 kg/m2) and 5.6% were obese (BMI ≥ 30), according to the WHO classification. The prevalence of overweight in all age groups was higher than obesity (Table 2). More than 20% of participants (female and male) with spinal cord injury had central obesity. Persons with shorter time since injury tended to have higher prevalence of overweight and obesity compared with those with longer time since injury. There was a trend toward greater waist circumference in patients with higher time since injury and older age.
Table 1

Distribution of BMI by type and completeness of injury

Table 2

Prevalence of overweight and obesity by age and time since injury

Distribution of BMI by type and completeness of injury Prevalence of overweight and obesity by age and time since injury

Discussion

The present study was carried out to investigate the obesity predictors of SCI patients and their relationship to disability indexes. Based on our knowledge, limited data are present on the body composition and injury related factors. Calculated BMI, which is usually used to indirect calculation of body composition, is a useful and low cost screening tool for estimation of obesity related diseases risk.6 According to the recommended guidelines, 33.1% of our participants were overweight or obese. In agreement with previous studies, we found higher average BMI, WC, Biceps and Triceps SF in adults with paraplegia versus tetraplegia.178 Ability to use both upper limbs, giving increased independence to eat freely, may be the possible reason for this finding.8 Similar trend is shown in participants with complete injury versus incomplete injury. Because significant concern has been expressed for weight gain in people with SCI, age and time since injury were further examined usingby obesity indicators of people with SCI. Older participants had higher BMI and WC compared to younger ones. To our knowledge, only one study has examined the age-specific prevalence rate of overweight and/or obesity in these patients. Gupta et al8 have reported a high prevalence of overweight and obesity in almost all age groups. In agreement with their study, the present study confirmed that the prevalence of overweight was higher in those with shorter time since injury. New studies have confirmed that body mass index (BMI) is a poor and inconsistent predictor of CHD and diabetes risk factors and Waist Circumference (WC) may be more sensitive in detecting CHD risk than BMI in the SCI population.9,10 In the present study, the mean WC in the male participants was 86.98 cm. The mean waist circumferences reported by Liang et al 10 and Tomey et al 9 (97 cm and 96.5 cm, respectively) were significantly higher than our male participants; both of these studies excluded women. The mean WC in our female participants was 86.4 cm. In agreement with Bertoli et al,2 the present study found that more than 20% of participants (female and male) with spinal cord injury had central obesity. Furthermore, in our study, participants with higher age and time since injury had higher waist circumference and based on the data, there was no other study about central obesity related to age and time since injury.

Limitations

There are several limitations that should be considered when examining the results of this study before its implementation in community-dwelling with SCI people. First limitation is the use of a cross-sectional design to find the association of body composition with injury related variables. Secondly, there was no direct measurement of the participants’ height and weight and self reported heights and weight were used. However, the correlation of BMI and both WC and TSF (which were measured several times by the same expert interviewer) were assessed using correlation coefficient and regression coefficient; and this correlation was significantly high (p < 0.001). In spite of the fact that both genders were used in this study along with a greater number of participants, the sample was still fairly small and limited the power to recognize small differences between groups.

Conclusions

Correlation of the injury level (paraplegia versus tetraplegia) or type (complete versus incomplete) or injury duration with obesity has been tested in several studies, but these studies are mostly conducted with BMI as a measurement of obesity. In agreement with previous studies,178 the present study found higher average BMI in adults with paraplegia versus tetraplegia. It also confirmed that the prevalence of overweight is higher in those with shorter time since injury. On the other hand, studies have shown that the incidence of cardiovascular diseases and diabetes increases in spinal injured people as the time passes. So, the practical strategies should be implemented to reduce the incidence of general and central obesity in this group of people.

Authors’ Contributions

HS contributed to the design of the study and was responsible for data collection and analysis and writing the manuscript. AN and HS helped in recruiting the subjects. FS contributed to the design of the study. AR provided statistical consultation and HER obtained ethical approval. Also, MN helped with collecting and analyzing the data and MRV contributed to designing of the study, analyzing the data and edit of the manuscript. All authors have read and approved the content of the manuscript.
  10 in total

1.  Differences in resting metabolic rate between paraplegic and able-bodied subjects are explained by differences in body composition.

Authors:  Andrea C Buchholz; Colleen F McGillivray; Paul B Pencharz
Journal:  Am J Clin Nutr       Date:  2003-02       Impact factor: 7.045

2.  Dietary intake and nutritional status of urban community-dwelling men with paraplegia.

Authors:  Kristin M Tomey; David M Chen; Xin Wang; Carol L Braunschweig
Journal:  Arch Phys Med Rehabil       Date:  2005-04       Impact factor: 3.966

3.  Prevalence of obesity and high blood pressure in veterans with spinal cord injuries and disorders: a retrospective review.

Authors:  Frances M Weaver; Eileen G Collins; Jibby Kurichi; Scott Miskevics; Bridget Smith; Suparna Rajan; David Gater
Journal:  Am J Phys Med Rehabil       Date:  2007-01       Impact factor: 2.159

4.  Body mass index in spinal cord injury -- a retrospective study.

Authors:  N Gupta; K T White; P R Sandford
Journal:  Spinal Cord       Date:  2006-02       Impact factor: 2.772

5.  Different risk factor patterns for metabolic syndrome in men with spinal cord injury compared with able-bodied men despite similar prevalence rates.

Authors:  Huifang Liang; David Chen; Youfa Wang; James H Rimmer; Carol L Braunschweig
Journal:  Arch Phys Med Rehabil       Date:  2007-09       Impact factor: 3.966

6.  Nutritional status and dietary patterns in disabled people.

Authors:  S Bertoli; A Battezzati; G Merati; V Margonato; M Maggioni; G Testolin; A Veicsteinas
Journal:  Nutr Metab Cardiovasc Dis       Date:  2005-11-10       Impact factor: 4.222

7.  Cardiovascular risk factors in the elderly: the Tehran Lipid and Glucose Study.

Authors:  Fereidoun Azizi; Habib Emami; Payam Salehi; Arash Ghanbarian; Parvin Mirmiran; Mohammadreza Mirbolooki; Tohid Azizi
Journal:  J Cardiovasc Risk       Date:  2003-02

8.  Visceral adipose tissue and the ratio of visceral to subcutaneous adipose tissue are greater in adults with than in those without spinal cord injury, despite matching waist circumferences.

Authors:  Lesley A Edwards; Joanne M Bugaresti; Andrea C Buchholz
Journal:  Am J Clin Nutr       Date:  2008-03       Impact factor: 7.045

Review 9.  Obesity after spinal cord injury.

Authors:  David R Gater
Journal:  Phys Med Rehabil Clin N Am       Date:  2007-05       Impact factor: 1.784

10.  Factors influencing body composition in persons with spinal cord injury: a cross-sectional study.

Authors:  Ann M Spungen; Rodney H Adkins; Charles A Stewart; Jack Wang; Richard N Pierson; Robert L Waters; William A Bauman
Journal:  J Appl Physiol (1985)       Date:  2003-08-08
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1.  Characteristics of abdominal obesity in persons with spinal cord injury.

Authors:  Kwang Dong Kim; Hyung Seok Nam; Hyung Ik Shin
Journal:  Ann Rehabil Med       Date:  2013-06-30

Review 2.  Neurogenic obesity and systemic inflammation following spinal cord injury: A review.

Authors:  Gary J Farkas; David R Gater
Journal:  J Spinal Cord Med       Date:  2017-07-30       Impact factor: 1.985

Review 3.  Methods for classifying obesity in spinal cord injury: a review.

Authors:  S L Silveira; T A Ledoux; S Robinson-Whelen; R Stough; M A Nosek
Journal:  Spinal Cord       Date:  2017-07-11       Impact factor: 2.772

4.  The effect of behavioral intervention and nutrition education program on serum lipid profile, body weight and blood pressure in Iranian individuals with spinal cord injury: A randomized clinical trial.

Authors:  Hadis Sabour; Abbas Norouzi Javidan; Zahra Soltani; Amir H Pakpour; Mir Saeed Yekaninejad; Seyedeh A Mousavifar
Journal:  J Spinal Cord Med       Date:  2016-08-25       Impact factor: 1.985

5.  Anthropometric and biomechanical characteristics of body segments in persons with spinal cord injury.

Authors:  Y Fang; L R Morse; N Nguyen; N G Tsantes; K L Troy
Journal:  J Biomech       Date:  2017-02-03       Impact factor: 2.712

6.  Time and Effort Required by Persons with Spinal Cord Injury to Learn to Use a Powered Exoskeleton for Assisted Walking.

Authors:  Allan J Kozlowski; Thomas N Bryce; Marcel P Dijkers
Journal:  Top Spinal Cord Inj Rehabil       Date:  2015-04-12

7.  Interdisciplinary bodyweight management program for persons with SCI.

Authors:  Amber M Brochetti; Steven W Brose; Angela M Kuemmel; David J Dang; Dennis J Bourbeau
Journal:  J Spinal Cord Med       Date:  2018-12-05       Impact factor: 1.985

8.  Serum lipid profile in subjects with traumatic spinal cord injury.

Authors:  Martin Laclaustra; Elizabeth Louise Maayken Van Den Berg; Yamilée Hurtado-Roca; Juan Manuel Castellote
Journal:  PLoS One       Date:  2015-02-23       Impact factor: 3.240

9.  The effects of n-3 fatty acids on inflammatory cytokines in osteoporotic spinal cord injured patients: A randomized clinical trial.

Authors:  Hadis Sabour; Bagher Larijani; Mohammad Reza Vafa; Mohammad Reza Hadian; Ramin Heshmat; Hamidreza Aghaei Meybodi; Hasan Emami Razavi; Abbas Norouzia Javidan; Farzad Shidfar
Journal:  J Res Med Sci       Date:  2012-04       Impact factor: 1.852

Review 10.  Low-grade inflammation and spinal cord injury: exercise as therapy?

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Journal:  Mediators Inflamm       Date:  2013-03-05       Impact factor: 4.711

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