| Literature DB >> 31407829 |
Patricia Hägglund1, Susanne Koistinen2, Lena Olai2,3, Katri Ståhlnacke4,5, Per Wester6,7, Eva Levring Jäghagen1.
Abstract
OBJECTIVES: We investigated the associations between swallowing dysfunction, poor oral health and mortality among older people in intermediate care in Sweden.Entities:
Keywords: mortality; nursing homes; oral care; oral hygiene; swallowing disorders
Mesh:
Year: 2019 PMID: 31407829 PMCID: PMC6899490 DOI: 10.1111/cdoe.12491
Source DB: PubMed Journal: Community Dent Oral Epidemiol ISSN: 0301-5661 Impact factor: 3.383
Baseline characteristics of the total cohort (n = 391), stratified by survived and deceased
| Variables | Total cohort (n = 391) | Survived (n = 293) | Deceased (n = 98) |
|
|---|---|---|---|---|
| Age | 84.0 [11] | 82.0 [10] | 86.0 [11] | .002 |
| Sex | ||||
| Male | 182 (46.5) | 139 (47.4) | 43 (43.9) | .621 |
| Female | 209 (53.5) | 154 (52.6) | 55 (56.1) | |
| BMI | 23.9 [6.4] | – | – | |
| Low | 131 (36.7) | 85 (31.8) | 46 (51.1) | .001 |
| Normal | 171 (47.9) | 132 (49.5) | 39 (43.3) | |
| High | 55 (15.4) | 50 (18.7) | 5 (0.06) | |
| Multimorbidity | ||||
| No | 185 (47.3) | 141 (48.1) | 44 (44.9) | .662 |
| Yes | 206 (52.7) | 152 (51.9) | 54 (55.1) | |
| Katz‐ADL | ||||
| A‐D | 193 (49.4) | 157 (54.7) | 36 (36.7) | .003 |
| E‐G | 192 (49.1) | 130 (45.3) | 62 (63.3) | |
| Cognition | ||||
| Normal cognition | 344 (88.0) | 255 (87.0) | 89 (90.8) | .413 |
| Mild cognitive impairment | 47 (12.0) | 38 (13.0) | 9 (9.2) | |
| Education | ||||
| Compulsory school | 251 (64.2) | 194 (66.7) | 57 (60.0) | .496 |
| Upper secondary school | 99 (25.3) | 71 (24.4) | 28 (29.5) | |
| Higher education | 36 (9.2) | 26 (8.9) | 10 (10.5) | |
| ROAG | ||||
| Good oral health (score 8) | 100 (25.6) | 85 (29.0) | 15 (15.3) | .007 |
| Poor oral health (score >8) | 291 (74.4) | 208 (71.0) | 83 (84.7) | |
| TWST | ||||
| Normal swallowing (≥10 mL/s) | 172 (44.7) | 142 (49.1) | 30 (30.6) | .002 |
| Dysfunctional swallowing (<10 mL/s) | 213 (55.3) | 147 (50.9) | 66 (67.3) | |
Data are presented as n (%) or the median [IQR]. Statistical analysis was performed with the chi‐squared test for categorical variables and the Mann‐Whitney U test for continuous variables.
Abbreviations: ADL, activity of daily living; BMI, body‐mass index; ROAG, revised oral assessment guide; TWST, timed water swallowing test.
Low BMIs were <20 (age ≤69) or <22 (age ≥70), normal BMI was 20/22‐29 and high BMI including overweight and obesity ≥30.
Defined as three or more diagnoses in three different organs/organ systems.
Figure 1Kaplan‐Meier cumulative mortality plots of factors associated with mortality among older individuals in intermediate care. (A) Participants with swallowing dysfunction showed higher mortality compared with normal function. (B) Participants with poor oral health had significantly higher mortality than those with good oral health. In (C) mortality in groups with various combinations of normal swallowing (Swallow+), swallowing dysfunction (Swallow−), good oral health (Oral health+) and poor oral health (Oral health−) are shown. Swallowing dysfunction combined with poor oral health showed the highest mortality
Predictors of 1‐year mortality among older individuals in short‐term care according to five different mixed effects Cox regression models
| Variables | HR (95% Confidence Interval) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Model 1 |
| Model 2 |
| Model 3 |
| Model 4 |
| Model 5 |
| |
| Swallowing (<10 mL/s) | 2.02 (1.29‐3.17) | .002 | 1.80 (1.10‐2.94) | .019 | – | – | 1.67 (1.02‐2.75) | .041 | 0.99 (0.32‐3.05) | .980 |
| Oral health (poor) | 2.09 (1.20‐3.65) | .010 | – | – | 2.02 (1.12‐3.66) | .019 | 1.98 (1.07‐3.65) | .029 | 1.39 (0.58‐3.34) | .460 |
| Age | NA | NA | NA | .045 | NA | .083 | NA | .059 | NA | .059 |
| Sex (woman) | 1.19 (0.78‐1.75) | .450 | 0.89 (o.57‐1.39) | .610 | 1.00 (0.64‐1‐55) | .990 | 0.93 (0.59‐1.45) | .740 | 0.91 (0.58‐1.43) | .690 |
| BMI | ||||||||||
| Low | 1.72 (1.11‐2.65) | .014 | 1.78 (1.13‐2.82) | .013 | 1.63 (1.03‐2.58) | .036 | 1.65 (1.04‐2.61) | .034 | 1.62 (1.02‐2.57) | .042 |
| High | 0.37 (0.14‐0.93) | .036 | 0.38 (0.15‐0.97) | .043 | 0.36 (0.14‐0.93) | .034 | 0.36 (0.14‐0.92) | .033 | 0.35 (0.13‐0.90) | .029 |
| Multimorbidity (yes) | 1.15 (0.77‐1.73) | .490 | 1.53 (0.98‐2.38) | .058 | 1.51 (0.97‐2.35) | .066 | 1.51 (0.97‐2.36) | .066 | 1.48 (0.95‐2.30) | .086 |
| Cognition (mild impairment) | 0.62 (0.30‐1.27) | .190 | 0.66 (0.31‐1.40) | .280 | 0.61 (0.29‐1.31) | .210 | 0.68 (0.32‐1.44) | .310 | 0.66 (0.31‐1.41) | .290 |
| Swallowing‐by‐oral health interaction | 1.63 (0.51‐5.23) | .410 | – | – | – | – | – | – | 0.98 (0.93‐1.05) | .600 |
For the Cox mixed effects regression model with cluster as random effect, the reference categories were: normal swallowing, good oral health, male sex, normal BMI, no multimorbidity and no cognitive impairment. Age was modelled using restricted cubic splines with knots at the 10th, 50th and 90th percentiles of the population's age distribution (77, 84, 88.5 years, respectively), allowing non‐linear relationship between age and mortality. HR for age cannot be obtained from the Cox mixed effects model, only P‐values.
Abbreviations: BMI, body mass index; HR, hazard ratio; NA, not applicable.
The model includes only the variable indicated.
The model includes swallowing function and all covariates.
The model includes oral health and all covariates.
The model includes swallowing function, oral health and all covariates based on 354 participants without missing data.
The model includes an interaction between oral health and swallowing dysfunction with covariates as in the model 4.
Analysis of swallowing dysfunction, poor oral health and risk for mortality
| Poor oral health | Swallowing dysfunction | No. of deaths | No. of survival | Hazard ratio (95% CI) |
|
|---|---|---|---|---|---|
| Yes | Yes | 59 | 111 | 2.60 (1.15‐5.89) | .022 |
| Yes | No | 23 | 94 | 1.41 (0.59‐3.38) | .440 |
| No | Yes | 7 | 36 | 0.98 (0.32‐3.04) | .980 |
| No | No | 7 | 48 | 1 (reference) |
Abbreviation: CI, Confidence interval.
Mixed effect Cox regression model with cluster as random effect adjusted for: age, sex, body mass index, multimorbidity and mild cognitive impairment.