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Research ArticleResearch

Physical activity assessment and counseling in Quebec family medicine groups

Aurélie Baillot, Jean-Patrice Baillargeon, Alex Paré, Thomas G. Poder, Christine Brown and Marie-France Langlois
Canadian Family Physician May 2018; 64 (5) e234-e241;
Aurélie Baillot
Professor in the Department of Nursing at the Université du Québec en Outaouais in Gatineau, and a researcher in the Institut du Savoir Montfort–Recherche in Ottawa, Ont.
PhD
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  • For correspondence: aurelie.baillot{at}uqo.ca
Jean-Patrice Baillargeon
Investigator in the Centre de recherche du Centre hospitalier universitaire de Sherbrooke (CHUS) in Quebec, an endocrinologist in the Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l’Estrie–CHUS in Sherbrooke, and Professor in the Department of Medicine in the Division of Endocrinology at the University of Sherbrooke.
MD MSc
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Alex Paré
Research Coordinator in the Centre de recherche du CHUS and the CIUSSS de l’Estrie–CHUS.
MA
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Thomas G. Poder
Investigator in the Centre de recherche du CHUS and the CIUSSS de l’Estrie–CHUS, and Adjunct Professor in the Department of Family Medicine and Emergency Medicine at the University of Sherbrooke.
PhD
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Christine Brown
Research Coordinator in the Centre de recherche du CHUS and the CIUSSS de l’Estrie–CHUS.
MA
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Marie-France Langlois
Researcher in the Centre de recherche du CHUS, an endocrinologist in the CIUSSS de l’Estrie–CHUS, and Professor in the Department of Medicine in the Division of Endocrinology at the University of Sherbrooke.
MD FRCPC CSPQ
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    Figure 1.

    Patients who received assessment of PA level, PAC, and self-monitoring tools from PHCPs during the past 18 mo: Percentages were calculated according to the number of patients seen by FPs (n = 439), nurses (n = 188), and dietitians (n = 12).

    PA—physical activity, PAC—PA counseling, PHCP—primary health care provider.

Tables

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    Table 1.

    Patient characteristics and assessment of PA level and PAC provided by FPs, nurses, or dietitians during the past 18 mo: Variables in bold were included in the multivariate analysis as independent variables.

    CHARACTERISTICNVALUEPA LEVEL ASSESSMENTPAC
    OR (95% CI)P VALUEOR (95% CI)P VALUE
    Sociodemographic data
      • Female sex, %43966.10.90 (0.61 to 1.34).601.08 (0.67 to 1.75).76
      • Median age (IQR), y43959.1 (49.3 to 67.2)1.00 (0.98 to 1.01).620.99 (0.98 to 1.01).38
      • Married or in a civil union, %43967.21.08 (0.72 to 1.60).720.90 (0.55 to 1.45).65
      • Postsecondary education, %43732.31.08 (0.72 to 1.60).720.74 (0.45 to 1.23).25
      • Family annual income ≥ $55 000, %42940.60.98 (0.67 to 1.45).930.57 (0.35 to 0.93).03
      • Smoker, %43914.41.10 (0.64 to 1.88).730.93 (0.48 to 1.80).83
      • Private health coverage, %43956.01.05 (0.72 to 1.53).810.84 (0.53 to 1.32).45
      • Employed, %43942.11.30 (0.89 to 1.90).181.39 (0.88 to 2.19).16
    Anthropometric data
      • Median BMI (IQR), kg/m243928.7 (25.5 to 32.6)0.99 (0.96 to 1.02).401.08 (1.04 to 1.12)< .01
      • Median waist circumference (IQR), cm42496.4 (85.3 to 106.0)0.99 (0.98 to 1.01).221.03 (1.01 to 1.04)< .01
      • Overweight or obese (BMI ≥ 25 kg/m2), %43978.80.73 (0.46 to 1.16).182.39 (1.22 to 4.70)*.01
    Median no. of health provider encounters in past 18 mo (IQR)
      • Nurse4390 (0 to 2)1.17 (1.07 to 1.29)< .0011.26 (1.15 to 1.37)< .01
      • FP4394 (2 to 6)1.04 (0.97 to 1.11).311.07 (0.99 to 1.16).08
    Comorbidities
      • Hypertension43935.51.27 (0.886 to 1.88).231.79 (1.13 to 2.84).01†
      • Dyslipidemia43934.40.87 (0.59 to 1.30).491.53 (0.96 to 2.43).08†
      • Hypothyroidism43916.40.75 (0.45 to 1.24).260.77 (0.40 to 1.47).42
      • Sleep apnea4393.40.80 (0.29 to 2.23).681.86 (0.62 to 5.57).27
      • Osteoporosis4396.61.34 (0.62 to 2.87).460.74 (0.28 to 2.00).55
      • Anxiety or depression43917.81.51 (0.92 to 2.48).11†1.43 (0.82 to 2.51).21
      • Asthma or COPD43911.81.00 (0.56 to 1.78).990.73 (0.34 to 1.56).42
      • Arthritis or arthrosis43925.31.18 (0.76 to 1.81).461.23 (0.74 to 2.05).43
      • Heart and vascular disease43915.91.28 (0.77 to 2.15).340.99 (0.53 to 1.48).96
      • Type 2 diabetes or prediabetes43920.51.51 (0.94 to 2.42).09†3.50 (2.11 to 5.81)‡<.01†
      • Median no. of comorbidities (IQR)4392 (1 to 3)1.08 (0.95 to 1.21).241.23 (1.06 to 1.42)< .01
    Median health-related quality of life scores (IQR)
      • Physical component summary43548.8 (41.7 to 55.9)1.01 (1.00 to 1.03).161.02 (1.00 to 1.04).12
      • Mental component summary43551.2 (42.3 to 56.6)1.02 (1.00 to 1.04).041.00 (0.97 to 1.02).77
    Physical fitness and activity
      • Median recreational PA index score (IQR), kcal/kg/d4391.3 (0.5 to 2.5)1.13 (1.00 to 1.26).040.94 (0.82 to 1.08).38
      • Inactive, %43955.60.75 (0.52 to 1.10).141.26 (0.79 to 2.00).33
      • Television viewing > 20 h/wk, %43917.51.04 (0.94 to 1.12).441.04 (0.92 to 1.19).53
      • Median grip strength (IQR), kg43729.5 (22.5 to 39.0)1.00 (0.98 to 1.01).660.99 (0.97 to 1.01).31
      • Median isometric quadriceps strength (IQR), kg43623.5 (17.6 to 30.5)1.00 (0.98 to 1.02).791.02 (0.99 to 1.04).15
      • Median 6-min walk test distance (IQR), m351500.0 (428.5 to 560.0)1.00 (1.00 to 1.00).121.00 (1.00 to 1.00).43
    • BMI—body mass index, COPD—chronic obstructive pulmonary disease, IQR—interquartile range, OR—odds ratio, PA—physical activity, PAC—PA counseling.

    • ↵* Significantly more overweight or obese patients received PAC compared with patients who were not overweight or obese (24.3% vs 11.8%, P = .01).

    • ↵† These variables were included in the second multivariate analysis model instead of no. of comorbidities.

    • ↵‡ Significantly more patients with diabetes received PAC compared with patients who did not have diabetes (41.0% v. 16.6%, P < .001).

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    Table 2.

    Associations between FP and FMG characteristics and the assessment of PA level and PAC provided by FPs, nurses, or dietitians during the past 18 mo: PAC performed by at least 1 PHCP was significantly associated with the assessment of PA level performed by at least 1 PHCP (OR [95% CI] 5.05 [2.93 to 8.72], P < .01). Variables in bold were included in the multivariate analysis as independent variables.

    CHARACTERISTICSPA LEVEL ASSESSMENTPAC
    OR (95% CI)P VALUEOR (95% CI)P VALUE
    FPs
      • Female sex2.37 (1.60 to 3.51)< .011.54 (0.95 to 2.48).08
      • Age0.97 (0.95 to 0.99).010.97 (0.95 to 0.99).01
      • Experience0.97 (0.96 to 0.99).010.97 (0.95 to 0.99)< .01
      • PA knowledge1.02 (1.01 to 1.04).011.00 (0.99 to 1.02).79
      • PAC self-efficacy1.01 (1.00 to 1.02).041.00 (0.99 to 1.01).35
      • Identity of the FP1.00 (0.99 to 1.02).550.99 (0.97 to 1.01).21
    FMGs
      • Leaflets on PA0.54 (0.29 to 1.00).050.83 (0.42 to 1.67).61
      • Canadian PA guidelines1.21 (0.83 to 1.77).311.31 (0.83 to 2.07).24
      • Pedometer used0.82 (0.42 to 1.60).560.80 (0.34 to 1.88).62
      • Effect of FMG0.95 (0.89 to 1.01).110.93 (0.86 to 1.01).08
    • FMG—family medicine group, OR—odds ratio, PA—physical activity, PAC—PA counseling, PHCP—primary health care provider.

    • View popup
    Table 3.

    Multivariate analysis to explain the assessment of PA provided by FPs, nurses, or dietitians during the past 18 mo: Nagelkerke R2 = 0.20; N = 339 patients.

    CHARACTERISTICMODEL 1
    OR (95% CI)P VALUE
    FP experience0.96 (0.94 to 1.00).002
    FP female sex2.70 (1.61 to 4.50)< .001
    Nurse encounters1.26 (1.12 to 1.43)< .001
    Physical component summary1.03 (1.00 to 1.05).03
    Mental component summary1.03 (1.00 to 1.05).04
    • OR—odds ratio, PA—physical activity.

    • View popup
    Table 4.

    Multivariate analysis to explain provision of PAC by FPs, nurses, or dietitians during the past 18 mo: In model 2, the no. of comorbidities was replaced by the comorbidities significantly associated with the dependent variables. Nagelkerke R2 = 0.31 for model 1; Nagelkerke R2 = 0.34 for model 2; N = 418 patients.

    CHARACTERISTICMODEL 1MODEL 2
    OR (95% CI)P VALUEOR (95% CI)P VALUE
    Assessment of PA performed by PHCPs4.40 (2.35 to 7.44)< .014.32 (2.37 to 7.85)< .01
    FP experience0.97 (0.94 to 0.99).010.97 (0.94 to 0.99).01
    Family annual income ≥ $55 0000.53 (0.31 to 0.92).030.56 (0.32 to 0.97).04
    Overweight or obese status4.20 (1.93 to 9.06)< .013.21 (1.46 to 7.12)< .01
    Nurse encounters1.24 (1.12 to 1.37)< .011.22 (1.10 to 1.35)< .01
    Physical component summary*1.06 (1.02 to 1.09)< .011.06 (1.03 to 1.10)< .01
    Type 2 diabetes or prediabetes*NANA2.84 (1.51 to 5.37)< .01
    • NA—not applicable, OR—odds ratio, PA—physical activity, PAC—PA counseling, PHCP—primary health care provider.

    • ↵* In model 2, type 2 diabetes or prediabetes status appeared before physical component summary score.

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Canadian Family Physician: 64 (5)
Canadian Family Physician
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Physical activity assessment and counseling in Quebec family medicine groups
Aurélie Baillot, Jean-Patrice Baillargeon, Alex Paré, Thomas G. Poder, Christine Brown, Marie-France Langlois
Canadian Family Physician May 2018, 64 (5) e234-e241;

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Physical activity assessment and counseling in Quebec family medicine groups
Aurélie Baillot, Jean-Patrice Baillargeon, Alex Paré, Thomas G. Poder, Christine Brown, Marie-France Langlois
Canadian Family Physician May 2018, 64 (5) e234-e241;
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