Healthy behaviors and incidence of overweight and obesity in military veterans

Bookwalter, Deborah Boggs; Porter, Ben; Jacobson, Isabel G.; Kong, So Yeon; Littman, Alyson J.; Rull, Rudolph P.; Boyko, Edward J.

doi:10.1016/j.annepidem.2019.09.001

Cited by 10 publications

(4 citation statements)

References 32 publications

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“…For the second aim, the number of healthy behaviors was based on the total number of healthy behaviors endorsed at baseline. Using the same algorithm as previous studies, each of the six behaviors was categorized as "healthy," and then summed (i.e., score 0-6) [38]. The healthy behaviors included lower alcohol consumption (1-14 drinks/week), not smoking (i.e., non-smoker), adequate sleep (7-9 hrs/day), physical activity (�150 minutes of weekly physical activity), low sedentary lifestyle factors (less than 8 hours/day), and low fast food consumption (<1 time/week) [38].…”

Section: Methodsmentioning

confidence: 99%

“…Using the same algorithm as previous studies, each of the six behaviors was categorized as "healthy," and then summed (i.e., score 0-6) [38]. The healthy behaviors included lower alcohol consumption (1-14 drinks/week), not smoking (i.e., non-smoker), adequate sleep (7-9 hrs/day), physical activity (�150 minutes of weekly physical activity), low sedentary lifestyle factors (less than 8 hours/day), and low fast food consumption (<1 time/week) [38]. Based on low frequencies for the lowest and highest number of healthy behaviors, this variable was categorized as 0-2, 3, 4, and 5-6 healthy behaviors.…”

Section: Methodsmentioning

confidence: 99%

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Mental health, physical health, and health-related behaviors of U.S. Army Special Forces

et al. 2020

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Objectives To prospectively examine the health and health-related behaviors of Army Special Forces personnel in comparison with two distinct, but functionally similar Army groups. Methods Special Forces, Ranger Qualified, and General Purposes Forces enrolled in the Millennium Cohort Study were identified using data from the Defense Manpower Data Center. Using prospective survey data (2001-2014), we estimated the association of Army specialization with mental health, social support, physical health, and health-related behaviors with multivariable regression models. Results Among the 5,392 eligible participants (84.4% General Purposes Forces, 10.0% Special Forces, 5.6% Ranger Qualified), Special Forces personnel reported the lowest prevalence of mental disorders, physical health problems, and unhealthy behaviors. In the multivariable models, Special Forces personnel were less likely to report mental health problems, multiple somatic symptoms, and unhealthy behaviors compared with General Purpose Forces infantrymen (odds ratios [OR]: 0.20-0.54, p-values < .01). Overall, Special Forces personnel were similar in terms of mental and physical health compared with Ranger Qualified infantrymen, but were less likely to sleep < 5 hours/night (OR: 0.60, 95% confidence intervals: 0.40, 0.92) and have 5 or more multiple somatic symptoms (OR: 0.69, 95% CI: 0.49, 0.98). Both Special Forces personnel and Ranger Qualified infantrymen engaged in more healthy behaviors compared with General Purpose Forces infantrymen (OR: 2.57-6.22, p-PLOS ONE

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Mental health, physical health, and health-related behaviors of U.S. Army Special Forces

et al. 2020

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“…11 Similar high prevalence of overweight/obesity among US veterans was reported in other studies too. [12][13][14] More than 35% prevalence of overweight as well as obesity was also reported among help seeking UK veterans by Williamson et al in 2019. 15 These variations seen in different studies could be because the studies were performed in different geographic locations on veterans belonging to different socio-economic strata having different cultural and dietary habits It seems that the veterans are just not able to maintain the high level of fitness required in service after the retirement and the degree of overweight/obesity seem to match their elderly civil counterparts in India.…”

Section: Weightmentioning

confidence: 83%

A cross-sectional study of prevalence of overweight and hypertension among veterans in Eastern Uttar Pradesh

Adhya

Tyagi

Anand

et al. 2021

Int J Community Med Public Health

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Background: Health problems of veterans have not been studied extensively. Obesity though not a major problem while in service, could be a major factor leading to morbidity and mortality due to lifestyle diseases seen among overweight/obese people.Methods: Status of overweight and hypertension was studied among ex-servicemen population of a military station in the age group of primarily 50-70 years.Results: More than 35% veterans were found to be overweight/obese. Underweight was a more serious problem than overweight among those above 70 years of age. Prevalence of hypertension was also high (25%). There was weak association of overweight with hypertension among ex-servicemen because the problem seems to appear late in life. This association was stronger upto 60 years of age after which it starts decreasing.Conclusions: The problems of overweight and obesity and hypertension constitute considerable health burden among the veterans. However, a significant causal association could not be established between overweight and hypertension.

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“…Plan. Physical activity, reducing sedentary time, reducing fast food consumption, sleeping 7-9 hours per day, avoiding smoking, and moderate alcohol drinking habit were effective interventions to reduce obesity [85].…”

Section: Developing Nonsedentary Life Stylementioning

confidence: 99%

Epidemiology, Predisposing Factors, Biomarkers, and Prevention Mechanism of Obesity: A Systematic Review

2020

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Background. Globally, obesity is becoming a public health problem in the general population. Various determinants were reported by different scholars even though there are inconsistencies. Different biomarkers of obesity were identified for the prediction of obesity. Even though researchers speculate the factors, biomarkers, consequences, and prevention mechanisms, there is a lack of aggregate and purified data in the area of obesity. Summary. In this review, the epidemiology, predisposing factors, biomarkers, consequences, and prevention approaches of obesity were reviewed. Key Messages. The epidemiology of obesity increased in low-, middle-, and high-income countries. Even if the factors vary across regions and socioeconomic levels, sociodemographic, behavioral, and genetic factors were prominent for the development of obesity. There are a lot of biomarkers for obesity, of which microRNA, adipocytes, oxidative stress, blood cell profile, nutrients, and microbiota were promising biomarkers for determination of occurrence of obesity. Since the consequences of obesity are vast and interrelated, multidimensional prevention strategy is mandatory in all nations.

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Healthy behaviors and incidence of overweight and obesity in military veterans

Cited by 10 publications

References 32 publications

Mental health, physical health, and health-related behaviors of U.S. Army Special Forces

Mental health, physical health, and health-related behaviors of U.S. Army Special Forces

A cross-sectional study of prevalence of overweight and hypertension among veterans in Eastern Uttar Pradesh

Epidemiology, Predisposing Factors, Biomarkers, and Prevention Mechanism of Obesity: A Systematic Review

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