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Adjusted analyses controlling for effects of other variables Modeling of: Correlates of single HL variables and complex mix of lifestyle clusters in ‘high.

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Presentation on theme: "Adjusted analyses controlling for effects of other variables Modeling of: Correlates of single HL variables and complex mix of lifestyle clusters in ‘high."— Presentation transcript:

1 Adjusted analyses controlling for effects of other variables Modeling of: Correlates of single HL variables and complex mix of lifestyle clusters in ‘high risk’ demographically defined groups from single risk factor correlates analysis

2 Full sample, adjusted ORs CharacteristicHi BPAlc dep Fru&Veg Q1Curr smok Male [cf female] *.87 *1.29 * Age yrs3.5 *.47 * yrs11.3 *.21 *1.1 *.70 * 65 + yrs18.9 *.07 *1.2 *.34 * Education low1111 Secondary.8 * * Some tertiary.78 *1.40 *1.27 *.66 * Graduate.77 * *.48 * Indigenous1.12 *1.39 * * Employ job1111 Unemployed * Not seeking job1.38 *1.16 *.88 COB Canada1111 Asia *.9 *.23 * Europe/N Amer *.76 * Other *.42 * Income low1111 Income * * Income *.77 * Income high *1.24 *.62 * Food insecurity1.22 *1.52 *1.14 *1.48 * Self reported High BP is most strongly related to age Other independent correlates include : education Indigenous status Food insecurity

3 Full sample, adjusted ORs CharacteristicHi BPAlc dep Fru&Veg Q1Curr smok Male [cf female] *.87 *1.29 * Age yrs3.5 *.47 * yrs11.3 *.21 *1.1 *.70 * 65 + yrs18.9 *.07 *1.2 *.34 * Education low1111 Secondary.8 * * Some tertiary.78 *1.40 *1.27 *.66 * Graduate.77 * *.48 * Indigenous1.12 *1.39 * * Employ job1111 Unemployed * Not seeking job1.38 *1.16 *.88 COB Canada1111 Asia *.9 *.23 * Europe/N Amer *.76 * Other *.42 * Income low1111 Income * * Income *.77 * Income high *1.24 *.62 * Food insecurity1.22 *1.52 *1.14 *1.48 * Risk [odds ratios] of alcohol dependent status declines with age And is higher among males, indigenous, European/Amer, high income and food insecurity

4 Full sample, adjusted ORs Characteristic Fru&Veg Q1Curr smok Male [cf female].87 *1.29 * Age yrs yrs1.1 *.70 * 65 + yrs1.2 *.34 * Education low11 Secondary * Some tertiary1.27 *.66 * Graduate1.52 *.48 * Indigenous * Employ job11 Unemployed * Not seeking job1.16 *.88 COB Canada11 Asia.9 *.23 * Europe/N Amer1.12 *.76 * Other1.15 *.42 * Income low11 Income * Income *.77 * Income high1.24 *.62 * Food insecurity * Being in highest F and V quintile is more likely among older adults, higher educated, high income

5 Full sample, adjusted ORs Characteristic Curr smok Male [cf female]1.29 * Age yrs yrs.70 * 65 + yrs.34 * Education low1 Secondary.76 * Some tert.66 * Graduate.48 * Indigenous1.63 * Employ job1 Unemployed1.3 * Not seeking job.88 COB Canada1 Asia.23 * Europe/N Amer.76 * Other.42 * Income low1 Income 2.84 * Income 3.77 * Income high.62 * Food insecurity1.48 * Current smoking less likely among older Adults, and more educated, And overseas born Higher risk among males Indigenous Unemployed And food insecurity

6 Full sample, adjusted ORs CharacteristicoverwtobeseHigh active Male [cf female]1.96 *1.18 *1.42 * !! Age yrs1.63 *1.41 *.7 * yrs2.31 *1.73 *.67 * 65 + yrsn/a.71 * Education low111 Compl. Secondary *1.35 * Some tertiary educ.79 *.72 *1.57 * Graduate.80 *.74 *1.54 * Indigenous1.36 *1.48 *1.30 * !! Employ job111 Unemployed * Not seeking job * COB Canada111 Asia.32 *.17 *.56 * Europe/N Amer Other.73 *.58 *.72 * Income low111 Income * Income Income high1.09 * * Food insecurity1.14 *1.35 *.96

7 Full sample, adj ORs –potential for change Characteristic Changed 12/12 Should do s/thing barriersIntend to change Male [cf fem].72 *.83 * * Age yrs.84 *1.1 *1.12 * yrs.72 *.89 * yrs.74 *.53 *.78 *.62 * Education low1111 Secondary1.3 * * Some tertiary1.74 *1.49 *1.42 *1.32 * Graduate1.6 *1.39 * * indigenous1.16 *1.47 * * Employ job1111 Unemployed.91 *1.26 *.70 *1.17 * Not seeking job *.81 *.92 Income low1111 Income Income * Income high1.25 *1.39 * Food insecurity *1.50 *1.26 *

8 Indigenous only n=4329, adjusted ORs CharacteristicHi BPAlc depFruit/ VegCurr smok Male [cf fem] * Age yrs 3.0 *.41 *.79 * yrs 7.0 *.15 * * 65 + yrs 12.3 *.17 *1.68 *.23 * Education low 1111 Secondary.55 * *.65 * Some tert.49 *1.49 * * Graduate.59 * *.47 * Employ job 1111 Unemployed.52 *1.42 *.66 *.87 Not seeking job Income low 1111 Income Income *.87 Income high.60 * Food insecurity *.77 *1.65 *

9 Indigenous only adjusted ORs CharacteristicOverwtObeseHi active Male [cf fem]1.6 * * Age yrs1.29 * * yrs1.72 *1.75 *.62 * 65 + yrsn/a.59 * Education low111 Secondary Some tert * Graduate Employ job111 Unemployed * Not seeking job Income low111 Income *.85 Income Income high Food insecurity

10 Indigenous, adj ORs –potential for change Characteristic Changed 12/12 Should do s/thing barriersIntend to change Male [cf fem].57 *.8.63 * Age yrs.79 *.77 * yrs.65 * yrs.64 *.29 * Education low 1111 Secondary 1.31 * Some tert 1.54 * *1.57 * Graduate 1.26 *1.42 * 1.2 Employ job 1111 Unemployed Not seeking job Income low 1111 Income * Income *1.46 *1.23 Income high 1.39 *1.86 * Food insecurity *1.57 *.71 *

11 Groupings of ‘at risk’ HL clusters of unhealthy variables Summary AOR, including community belonging Mental health correlates and propensity for change eg. i] Overweight and inactive ii] overweight and inactive and smoker Are there consistent correlates of increasing risk profiles ?

12 Examples: Dyads/triads of clusters of risk factors, adjusted ORs, signif only Characteristics in of “clustered groups”: HL vars Overwt + inactive Smok + overwt + inactive 5 unhealthy – inactive, smok, overwt, low F/Veg, drinker Male [cf females] Belong community Rated Bad health Married Depressed NS Long hours work 1.29NS1.96 Age yrs NS yrs Education low 111 Graduate Indigenous Unemployed 0.62NS Income low Q1 111 Income high Q4 NS Food insecurity Changed 12/ Intend to change

13 Define population segments – on the basis of risk factor profiles eg. i] young males <35 yrs ii] low education males Iii] middle aged low SES females Are there consistent correlates of demographic subgroups ? Are there any protective influences which can be identified ?

14 High risk segments: prevalence of HL variables (%) Group Low education males Indig- enous Low educ and young males Low SES women age High BP % Depend alcohol High F and V quintile Overwt Curr smoker Inactive

15 Confined to young males <35 yrs, AORs “clustered pop’n segments”: HL vars Alcohol depend OverwtInactive Belong community NS.70 Rated Bad health NS 2.70 Married O’seas born vs Canad.44NS1.66 Depressed 1.28NS1.20 Long hours work Ns Indigenous NS1.50ns Unemployed Income high Q4 cf Q1 NS1.45NS Food insecurity NS Changed 12/12 NS Intend to change NS

16 Low educ’n males, AORs “clustered pop’n segments”: HL vars Alcohol depend Over wt In- active Smok- er Belong community NS Rated Bad health NS Married NS.70 Age cf younger NS.70 Age NS.33 Age n/a O’seas born vs Canad.660.7NS Depressed 1.29NS 1.4 Long hours work NS 1.31NS lifestress 2.38NS Indigenous 1.61NSNs1.7 Unemployed NS 3.6 Income high Q4 cf Q NS Food insecurity 1.47NS 1.6 Changed 12/12 NS Intend to change NS NS

17 Low income women 30-50yrs “clustered pop’n segments”: HL vars Alcohol depend Over wt In- active Smok- er Belong community NS Rated Bad health NS Married NS.70 Age cf younger NS.70 Age NS.33 Age n/a O’seas born vs Canad.660.7NS Depressed 1.29NS 1.4 Long hours work NS 1.31NS lifestress 2.38NS Indigenous 1.61NSNs1.7 Unemployed NS 3.6 Income high Q4 cf Q NS Food insecurity 1.47NS 1.6 Changed 12/12 NS Intend to change NS NS


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