Racial Differences in Weight Gain: A 5-Year Longitudinal Study of Persons With Spinal Cord Injury

Obesity in wheelchair users with long-standing spinal cord injury: prevalence and associations with time since injury and physical activity

STUDY DESIGN

Secondary analysis of cross-sectional data from the ALLRISC cohort study.

OBJECTIVES

To investigate the prevalence of obesity and its association with time since injury (TSI) and physical activity (PA) in wheelchair users with long-standing (TSI > 10 years) spinal cord injury (SCI).

SETTING

Community, The Netherlands.

METHODS

Wheelchair users with SCI (N = 282) in TSI strata (10-19, 20-29, and ≥30 years) and divided in meeting SCI-specific exercise guidelines or not. Waist circumference (WC) and body mass index (BMI) were assessed. Participants were classified as being obese (WC > 102 cm for men, WC > 88 cm for women; BMI ≥ 25 kg/m2) or not. Logistic regression analyses were performed to investigate the associations between obesity and TSI and PA.

RESULTS

Almost half of the participants (45-47%) were classified as obese. TSI was significantly associated with obesity, the odds of being obese were 1.4 higher when having a 10 years longer TSI. Furthermore, the odds of being obese were 2.0 lower for participants who were meeting the exercise guidelines.

CONCLUSIONS

The prevalence of obesity is high in people with long-standing SCI. Those with a longer TSI and individuals who do not meet the exercise guidelines are more likely to be obese and need to be targeted for weight management interventions.

The Diagnosis and Management of Cardiometabolic Risk and Cardiometabolic Syndrome after Spinal Cord Injury

Individuals with spinal cord injuries (SCI) commonly present with component risk factors for cardiometabolic risk and combined risk factors for cardiometabolic syndrome (CMS). These primary risk factors include obesity, dyslipidemia, dysglycemia/insulin resistance, and hypertension. Commonly referred to as “silent killers”, cardiometabolic risk and CMS increase the threat of cardiovascular disease, a leading cause of death after SCI. This narrative review will examine current data and the etiopathogenesis of cardiometabolic risk, CMS, and cardiovascular disease associated with SCI, focusing on pivotal research on cardiometabolic sequelae from the last five years. The review will also provide current diagnosis and surveillance criteria for cardiometabolic disorders after SCI, a novel obesity classification system based on percent total body fat, and lifestyle management strategies to improve cardiometabolic health.

Mortality Beyond the First Year After Spinal Cord Injury: Does Body Mass Index Matter?

OBJECTIVE

To examine the association between body mass index (BMI [calculated as weight in kilograms divided by height in meters squared]) and mortality after the first year post spinal cord injury (SCI) overall and across demographic and injury characteristics.

DESIGN

Cohort study.

SETTING

Sixteen Spinal Cord Injury Model Systems (SCIMS) centers.

PARTICIPANTS

SCIMS Database participants age 20 years or older and having a BMI assessment during the 2007-2011 wave of data collection.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

All-cause mortality rate. Life table method and log-rank test were used to estimate and compare mortality rates across BMI groups and other factors. Cox proportional hazard regression model was conducted to estimate hazard ratio (HR) and 95% confidence interval (CI).

RESULTS

A total of 2346 participants (N=2346) with SCI were classified into 1 of the 8 BMI groups: <18.5 (6.9%), 18.5-19.9 (7.3%), 20.0-22.49 (15.0%), 22.5-24.9 (18.8%), 25.0-27.49 (17.5%), 27.5-29.9 (13.2%), 30.0-34.9 (13.5%), and ≥35.0 (7.8%). Compared with people with BMI of 22.5-29.9, a higher mortality risk was observed among people with BMI<18.5 (HR, 1.76; 95% CI, 1.25-2.49), 18.5-19.9 (HR, 1.51; 95% CI, 1.06-2.15), and ≥35.0 (HR, 1.51; 95% CI, 1.11-2.07) after adjusting for confounding factors (sex, age at the time of BMI assessment, marital status, neurologic status). The U-shape BMI-mortality relationship varied by age, sex, neurologic status, and years since injury.

CONCLUSIONS

To improve life expectancy after SCI, health care professionals could focus on weight management among patients with relatively low and extremely high BMI, defined by demographic and injury-related characteristics. Future studies should explore factors that contribute to such a higher mortality after SCI, including pre-existing conditions, poor diet and/or nutrition, and cardiorespiratory fitness.

The impact of body mass index on one-year mortality after spinal cord injury

Objective: Evaluate the association between body mass index (BMI, kg/m²) and one-year mortality among people who survived the first 90 days after spinal cord injury (SCI).Design: Cohort study.Setting: Eighteen SCI Model Systems centers throughout the United States.Participants: 6640 participants (men, 79.6%; mean age, 42.8 ± 17.7y; Whites, 62.3%) who had an SCI between October 2006 and March 2017.Interventions: Not applicable.Outcome Measures: All-cause mortality and causes of death. Life table method was used to estimate mortality rates, while Cox proportional hazard model was conducted to assess the impact of BMI on mortality after adjusting for demographic and injury-related factors.Results: Based on BMI obtained during initial rehabilitation, participants were classified into underweight (4.2%), normal weight (41.2%), overweight (30.9%) and obese (23.8%) groups, and their corresponding one-year mortality rates were 2.6%, 1.8%, 3.1%, 3.5%, respectively (P = 0.002). After adjusting for potential confounding factors, people with obesity had a higher mortality risk than those with normal weight (hazard ratio, 1.51; 95% confidence interval, 1.00-2.28). The most frequent causes of death for people with obesity were infective and parasitic diseases and respiratory diseases, while respiratory diseases were the most frequent for people with other BMI statuses.Conclusion: People with obesity who incur an SCI need special attention to prevent early mortality. Future studies should explore factors that contribute to such a higher mortality after SCI, such as preexisting conditions and comorbidities. The effects of BMI on long-term mortality also deserve further investigation.

Barriers and Facilitators to Lifestyle Intervention Engagement and Weight Loss in People Living With Spinal Cord Injury

Background: Individuals living with spinal cord injury (SCI) have a high prevalence of obesity and unique barriers to healthy lifestyle. Objective: To examine barriers and facilitators to engagement and weight loss among SCI participants enrolled in the Group Lifestyle Balance Adapted for individuals with Impaired Mobility (GLB-AIM), a 12-month intensive lifestyle intervention. Methods: SCI participants (N = 31) enrolled in a wait-list, randomized controlled trial where all participants received intervention between August 2015 and February 2017. Analyses of pooled data occurred in 2020 to examine cross-sectional and prospective associations of hypothesized barriers and facilitators with (1) intervention engagement, comprised of attendance and self-monitoring, and (2) percent weight change from baseline to 12 months. We performed multivariable linear regression on variables associated with outcomes at p < .05 in bivariate analyses and controlled for intervention group. Results: Participants were middle-aged (mean age, 48.26 ± 11.01 years), equally male (50%) and female, White (80.7%), and unemployed (65.6%). In participants who completed baseline surveys (n = 30), dietary self-efficacy explained 26% of variance in engagement (p < .01); among the 12-month study completers (n = 22, 71.0%), relationship issues explained 23% of variance in engagement (p < .01). Money problems, health issues unrelated to SCI, lack of motivation, and experimental group explained 57% of variance in weight loss (p for model < .01), with lack of motivation uniquely explaining 24% of variance (p < .01). Conclusion: Improving engagement and weight loss for persons with SCI in the GLBAIM program may be achieved by addressing lack of motivation, relationship issues, and nutrition self-efficacy.

Racial and Ethnic Differences in Obesity in People With Spinal Cord Injury: The Effects of Disadvantaged Neighborhood

OBJECTIVE

To examine the role of neighborhood in the relation between race and obesity in people with spinal cord injury (SCI).

DESIGN

A cross-sectional analysis of survey data from National SCI Database linked with neighborhood data from American Community Survey by census tract.

SETTING

A total of 17 SCI Model Systems centers.

PARTICIPANTS

Individuals (N=3385; 2251 non-Hispanic whites, 760 non-Hispanic blacks, 374 Hispanics) who completed a follow-up assessment during 2006-2017 (mean duration of injury, 8.3±9.9y) and resided in 2934 census tracts.

INTERVENTION

Not applicable.

MAIN OUTCOME MEASURES

Body mass index (BMI) (kg/m2).

RESULTS

The overall prevalence of obesity was 52.9% (BMI≥25.0) and 23.3% (BMI≥30.0). Hispanics were 67.0% more likely to be obese (BMI≥30.0 kg/m2) relative to non-Hispanic whites (odds ratio, 1.67; 95% confidence interval, 1.27-2.18), after controlling for demographic and injury-related characteristics. Most of the non-Hispanic blacks (66.8%) were living in neighborhoods with high concentrated disadvantaged index (CDI), compared to 35.0% of Hispanics and 9.2% of non-Hispanic whites living in this similar neighborhood status (P<.0001). After accounting for CDI, the odds of being obese in Hispanics decreased (odds ratio, 1.51; 95% confidence interval, 1.15-1.99). Regardless of race and ethnicity, people with SCI from disadvantaged neighborhoods were 42.0%-70.0% more likely to be obese than those from minimal CDI neighborhoods.

CONCLUSIONS

Neighborhood characteristics partially diminish racial differences in obesity. Weight management for the SCI population should target those who are Hispanic and living in the disadvantaged neighborhoods.