How are different clusters of physical activity, sedentary, sleep, smoking, alcohol, and dietary behaviors associated with cardiometabolic health in older adults? A cross-sectional latent class analysis

Verswijveren, Simone J.J.M.; Dingle, Sara; Donnelly, Alan E.; Dowd, Kieran P.; Ridgers, Nicola D.; Carson, Brian P.; Kearney, Patricia M.; Harrington, Janas M.; Chappel, Stephanie E.; Powell, Cormac

doi:10.1186/s44167-023-00025-5

Journal of Activity, Sedentary and Sleep Behaviors

Table 4 Regression coefficients (β) and 95% Confidence Intervals (CIs) for associations between health behavior related classes and cardiometabolic health markers

From: How are different clusters of physical activity, sedentary, sleep, smoking, alcohol, and dietary behaviors associated with cardiometabolic health in older adults? A cross-sectional latent class analysis

	Model 1		Model 2
Health behavior related classes	n	β (95% CI)	n	β (95% CI)
Body mass index (kg/m²)	312		251
Unhealthy time-users		Referent		Referent
Healthy time-users		-0.051 (-1.813, 0.691)		-0.034 (-1.920, 1.120)
Body fat (%)	312		251
Unhealthy time-users		Referent		Referent
Healthy time-users		-0.088 (-2.718, -0.0534)		-0.054 (-2.450, 0.700)
Fat mass (kg)	312		251
Unhealthy time-users		Referent		Referent
Healthy time-users		-0.105 (-3.648, 0.106)		-0.061 (-3.272, 1.152)
Fat-free mass (kg)	312		251
Unhealthy time-users		Referent		Referent
Healthy time-users		-0.023 (-1.906, 0.848)		-0.016 (-1.960, 1.244)
HbA1c (mmol/mol)	311		250
Unhealthy time-users		Referent		Referent
Healthy time-users		-0.045 (-2.390, 1.048)		-0.008 (-1.604, 1.367)
Fasting glucose (mmol/L)	311		250
Unhealthy time-users		Referent		Referent
Healthy time-users		-0.039 (-0.401, 0.195)		0.018 (-0.228, 0.323)
Total cholesterol (mmol/L)	304		245
Unhealthy time-users		Referent		Referent
Healthy time-users		0.026 (-0.171, 0.278)		-0.028 (-0.278, 0.163)
Triglycerides (mmol/L)	304		245
Unhealthy time-users		Referent		Referent
Healthy time-users		-0.069 (-0.262, 0.0581)		-0.059 (-0.227, 0.0817)
HDL-C (mmol/L)	304		245
Unhealthy time-users		Referent		Referent
Healthy time-users		0.109 (0.0108, 0.162)		0.082 (-0.0198, 0.145)
LDL-C (mmol/L)	287		229
Unhealthy time-users		Referent		Referent
Healthy time-users		0.016 (-0.186, 0.245)		-0.035 (-0.280, 0.146)
VLDL-C (mmol/L)	248		222
Unhealthy time-users		Referent		Referent
Healthy time-users		0.001 (-0.0620, 0.0635)		-0.004 (-0.0712, 0.0667)
Systolic blood pressure (mmHg)	311		250
Unhealthy time-users		Referent		Referent
Healthy time-users		0.041 (-2.765, 5.884)		0.026 (-4.004, 6.031)
Diastolic blood pressure (mmHg)	311		250
Unhealthy time-users		Referent		Referent
Healthy time-users		-0.039(-3.051, 1.470)		-0.070 (-4.065, 1.141)

Bold values indicate significant associations at the level of p < 0.05.
HbA1c: Glycated hemoglobin; HDL-C: high-density lipoprotein cholesterol; LDL-C: low-density lipoprotein cholesterol; VLDL-C: very-low-density lipoprotein cholesterol; DASH: Dietary Approaches to Stop Hypertension
Linear regression models were conducted to analyze associations between the health behavior related classes and each of the continuous cardiometabolic health markers. Two differently adjusted models were used: Model 1 adjusted for age (continuous), sex and employment status (both binary); Model 2 further adjusted for reported heart conditions, blood pressure medication use, cholesterol medication use, and diabetes medication use (all binary). Fat mass was included in Model 2 as a covariate in models of non-body mass related cardiometabolic health markers (i.e., HbA1C, fasting glucose, total cholesterol, triglycerides, HDL-C, LDL-C, VLDL-C, SBP, and DBP).

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ISSN: 2731-4391

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