This BriefTrends highlights the sex differences in the physical activity (PA), overweight status, and depression relationship in U.S. adults.
To examine the moderating effect of sex on the physical activity (PA), body weight, and depression relationship in adults.
National Health and Nutrition Examination Survey (NHANES) 2017-March to Pre-Pandemic 2020.
United States (U.S.) adults 20+ years of age.
1) Meeting physical activity (PA) guidelines (150+ minutes of recreational PA per week vs. < 150 minutes of recreational PA per week), 2) Overweight status (BMI ≥ 25 kg/m2 vs. BMI < 25 kg/m2), 3) Depression (PHQ-9 ≥ 10 vs. PHQ-9 <10), and 4) Sex (male vs. female).
Crosstabulations stratified by sex of PA, overweight status, and depression status with Rao-Scott chi-square test of independence (χ2RS), odds ratios (ORs) and 95% confidence intervals (CIs). To formally test for the sex moderation effect, a multiple logistic regression model predicting depression was run with a sex-by-PA-by-overweight interaction. SAS Survey procedures were used, version 9.4.
Overall, prevalence of depression was 8.5% (95% CI: 7.48-9.42) with no significant differences across overweight status. Prevalence of depression was 5.2% (95% CI: 3.96-6.47) and 10.6% (95% CI: 9.45-11.66) for those meeting and not meeting PA guidelines, respectively (χ2RS = 46.0, p < .0001). Multiple logistic regression model predicting depression showed a significant (p = .0330) sex-by-PA-by-overweight interaction. Most noteworthy, PA appears to have a protective effect against depression in non-overweight females (OR = 0.20, 95% CI: 0.09-0.47) (Figure 1) and in overweight males (OR = 0.39, 95% CI: 0.23-0.65) (Figure 2).
[1] | Chen TC, Clark J, Riddles MK, Mohadjer LK, Fakhouri THI. National Health and Nutrition Examination Survey, 2015-2018: Sample design and estimation procedures. National Center for Health Statistics. Vital Health Stat 2(184). 2020. | ||
In article | |||
[2] | Manea L, Gilbody S, McMillan D. Optimal cut-off score for diagnosing depression with the Patient Health Questionnaire (PHQ-9): a meta-analysis. CMAJ. 2012 Feb 21; 184(3): E191-6. | ||
In article | View Article PubMed | ||
[3] | Hart, PD. Association of Joint Body Weight Profile and Physical Activity with Cardiovascular Disease Risk in Montana Adults. Journal of Physical Activity Research, vol. 6, no. 2 (2021): 101-104. | ||
In article | View Article | ||
[4] | SAS Institute Inc. 2015. SAS/STAT® 14.1 User’s Guide. Cary, NC: SAS Institute Inc. | ||
In article | |||
Published with license by Science and Education Publishing, Copyright © 2022 Peter D. Hart
This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
[1] | Chen TC, Clark J, Riddles MK, Mohadjer LK, Fakhouri THI. National Health and Nutrition Examination Survey, 2015-2018: Sample design and estimation procedures. National Center for Health Statistics. Vital Health Stat 2(184). 2020. | ||
In article | |||
[2] | Manea L, Gilbody S, McMillan D. Optimal cut-off score for diagnosing depression with the Patient Health Questionnaire (PHQ-9): a meta-analysis. CMAJ. 2012 Feb 21; 184(3): E191-6. | ||
In article | View Article PubMed | ||
[3] | Hart, PD. Association of Joint Body Weight Profile and Physical Activity with Cardiovascular Disease Risk in Montana Adults. Journal of Physical Activity Research, vol. 6, no. 2 (2021): 101-104. | ||
In article | View Article | ||
[4] | SAS Institute Inc. 2015. SAS/STAT® 14.1 User’s Guide. Cary, NC: SAS Institute Inc. | ||
In article | |||