| Literature DB >> 35300042 |
Nicole Ligeza1, Abigail Larson1, Mark DeBeliso1.
Abstract
Background: Military service members carry the responsibility to maintain physical and psychological readiness. As such, it is critical for researchers to begin unravelling the widespread impact of the COVID-19 pandemic on service member's mental and physical wellbeing. The aim of this research was to investigate the complex relationships between BMI, physical activity, psychological stress and resilience among United States Air National Guardsmen (USANG), specifically during the pandemic.Entities:
Keywords: Military; Physical activity; Stress
Year: 2022 PMID: 35300042 PMCID: PMC8918376 DOI: 10.15280/jlm.2022.12.1.26
Source DB: PubMed Journal: J Lifestyle Med ISSN: 2234-8549
Fig. 1In response to COVID-19 National Guard troops mobilized across the United States to support mission assignments such as distributing food and personal protective equipment (PPE), contact tracing, mobile testing sites, as well as patient care to aid in vaccination distribution and administration. Public domain: https://www.ang.af.mil/Media/Photos/.
Participant demographics and frequencies
| N = 110 | n | % |
|---|---|---|
| Gender | ||
| Male | 72 | 65.5% |
| Female | 38 | 34.5% |
| Age range | ||
| < 20 years old | 1 | 0.9% |
| > 40 years old | 40 | 36.4% |
| 21-25 years old | 10 | 9.1% |
| 26-30 years old | 16 | 14.5% |
| 31-35 years old | 23 | 20.9% |
| 36-40 years old | 20 | 18.2% |
| Race/Ethnicity | ||
| African-American/Black | 2 | 1.8% |
| American Indian | 1 | 0.9% |
| Asian American/Pacific Islander | 4 | 3.6% |
| Caucasian/White | 87 | 79.1% |
| Caucasian/White, Hispanic/Latinx/Mexican American | 1 | 0.9% |
| Hispanic/Latinx/Mexican American | 12 | 10.9% |
| Mixed White and Hispanic | 1 | 0.9% |
| Central Asian | 1 | 0.9% |
| Caucasian and Asian American | 1 | 0.9% |
| Relationship status | ||
| Married | 75 | 68.2% |
| Never married, but currently in a romantic relationship | 7 | 6.4% |
| Separated/Divorced/Widowed | 13 | 11.8% |
| Single | 15 | 13.6% |
| Rank | ||
| E1-E4 | 18 | 16.4% |
| E5-E6 | 31 | 28.2% |
| E7-E9 | 31 | 28.2% |
| O1-O3 | 13 | 11.8% |
| > O4 | 17 | 15.5% |
Variables scores
| N = 110 | BMI | PSS | IPAQ-SF total activity min/wk | CD-RISC 25 |
|---|---|---|---|---|
| Mean | 25.8 | 11.8 | 231.0 | 79.6 |
| SD | 3.3 | 6.4 | 111.5 | 11.4 |
| Minimum | 19.8 | 0 | 15 | 46 |
| Maximum | 34.0 | 34 | 540 | 99 |
Frequency analysis of variables
| n | % | |
|---|---|---|
| BMI category | ||
| Normal | 43 | 39.1% |
| Obesity | 12 | 10.9% |
| Overweight | 55 | 50.0% |
| PSS category | ||
| Low psychological stress | 70 | 63.6% |
| Moderate psychological stress | 38 | 34.5% |
| High psychological stress | 2 | 1.8% |
| COVID-19 psychological stress level | ||
| Decreased dramatically | 5 | 4.5% |
| Decreased some | 6 | 5.5% |
| Stayed the same | 33 | 30.0% |
| Increased some | 56 | 50.9% |
| Increased dramatically | 10 | 9.1% |
| IPAQ-SF physical activity category | ||
| Low | 1 | 0.9% |
| Moderate | 14 | 12.7% |
| High | 95 | 86.4% |
| COVID-19 physical activity level | ||
| Decreased dramatically | 24 | 21.8% |
| Decreased some | 36 | 32.7% |
| Stayed the same | 36 | 32.7% |
| Increased some | 8 | 7.3% |
| Increased dramatically | 6 | 5.5% |
Bivariate correlations of variables
| BMI | PSS score | IPAQ-S total activity min/wk | CD-RISC 25 score | COVID-19 PS level | COVID-19 PA level | |
|---|---|---|---|---|---|---|
| BMI | 1.0 | |||||
| PSS score | 1.0 | |||||
| IPAQ-S total activity min/wk | -0.23 | 1.0 | ||||
| CD-RISC 25 score | -0.38 | 1.0 | ||||
| COVID-19 PS level | 0.35 | 1.0 | ||||
| COVID-19 PA level | -0.32 | -0.23 | 0.21 | -0.24 | 1.0 |
Only r ≥ |0.20| and p < 0.05 reported.