| Literature DB >> 35378741 |
Faris A Alodaibi1, Mazyad A Alotaibi2, Mohammad A Almohiza1, Ahmed S Alhowimel2.
Abstract
Background: Chronic non-communicable diseases and musculoskeletal disorders are primarily associated with poor lifestyle behaviors and underestimated public health issues. Physical therapists have an essential role in promoting health. Still, few studies have described the current role of physical therapy in health promotion to lessen the impact of public health issues and chronic musculoskeletal conditions. Therefore, this study aimed to explore physical therapists' health promotion in the musculoskeletal practice setting and investigate potential barriers and needed education. Design andEntities:
Keywords: education and training; health promotion; lifestyle behaviors; musculoskeletal disorders; physical therapy
Year: 2022 PMID: 35378741 PMCID: PMC8976574 DOI: 10.2147/JMDH.S356932
Source DB: PubMed Journal: J Multidiscip Healthc ISSN: 1178-2390
Demographic and Descriptive Data for the 150 Participants
| Number (%) | |
|---|---|
| Age, years | |
| ≤ 30 | 78 (52) |
| 31–40 | 61 (41) |
| 40 | 11 (7) |
| Gender | |
| Male | 105 (70) |
| Female | 45 (30) |
| Highest educational level | |
| Bachelor | 80 (53) |
| Masters | 37 (25) |
| Doctorate | 32 (21) |
| Work experience, years | |
| ≤ 5 | 84 (56) |
| 6–15 | 55 (37) |
| > 15 | 11 (7) |
| Perceived adherence to healthy lifestyle behaviors | |
| Non-smoker | 112 (75) |
| Physically active | 70 (47) |
| Healthy diet | 51 (34) |
| Healthy sleep routine | 54 (36) |
| Correct posture and lifting technique | 84 (56) |
Education/Training the Participants Had Received and Assessments Undertaken Regarding Lifestyle Behaviors and Risk Factors
| Number (%) | |
|---|---|
| Received education/training in management of: | n = 78 |
| Physical activity | 66 (85) |
| Reducing cardiovascular risk | 51 (65) |
| Managing blood pressure | 43 (55) |
| Stress management | 34 (44) |
| Nutritional advice | 31 (40) |
| Sleep management | 23 (30) |
| Smoking cessation | 16 (20) |
| Motivational interviewing | 37 (47) |
| Patient educational strategies | 40 (51) |
| Always to usually Assessed lifestyle behaviors and risk factors include: | n = 118 |
| Physical activity | 101 (85) |
| Correct posture | 93 (80) |
| Weight and body mass index | 64 (54) |
| Family history of cardiovascular disease and diabetes | 63 (54) |
| Stress and psychological status | 57 (48) |
| Blood pressure | 45 (40) |
| Hydration and fluid intake | 33 (22) |
| Sleep quality and quantity | 41 (35) |
| Smoking history | 41 (35) |
| Diet | 38 (33) |
Figure 1Participants’ (n = 118) level of confidence level at assessing lifestyle behaviors and risk factors.
Figure 2Participants’ (n = 98) frequency of advising patients about lifestyle behaviors and risk factors.
Figure 3Participants’ (n = 85) perception of priority of addressing lifestyle behaviors and risk factors.
Figure 4Rating of the significance of potential barriers to providing health and wellness promotion (n=78).
Simple Logistic Regressions for the Effect of Age, Gender, and Experience on the Likelihood That Participants Assess Smoking, Diet, Sleep, Stress/Psychological Status, and Physical Activity/Exercise
| Assessing Smoking with Musculoskeletal Patients | Odds Ratio | 95% CI (Lower Limit) | 95% CI (Upper Limit) | |
|---|---|---|---|---|
| Age | 1.05 | 0.82 | 1.35 | 0.71 |
| Gender (Male vs female) | 1.16 | 0.49 | 2.78 | 0.74 |
| Experience (years) | 1.04 | 0.80 | 1.35 | 0.77 |
| Age | 0.90 | 0.69 | 1.17 | 0.42 |
| Gender (Male vs female) | 0.46 | 0.20 | 1.08 | 0.46 |
| Experience (years) | 0.90 | 0.69 | 1.19 | 0.47 |
| Age | 0.93 | 0.72 | 1.21 | 0.59 |
| Gender (Male vs female) | 0.46 | 0.20 | 1.05 | 0.07 |
| Experience (years) | 0.97 | 0.74 | 1.26 | 0.81 |
| Age | 1.01 | 0.80 | 1.30 | 0.91 |
| Gender (Male vs female) | 0.49 | 0.21 | 1.13 | 0.10 |
| Experience (years) | 0.97 | 0.75 | 1.24 | 0.80 |
| Age | 0.74 | 0.54 | 1.03 | 0.08 |
| Gender (Male vs female) | 0.33 | 0.71 | 1.54 | 0.16 |
| Experience (years) | 0.77 | 0.55 | 1.09 | 0.14 |