| Literature DB >> 30294398 |
Aleksandra Szybalska1, Katarzyna Broczek2, Przemysław Slusarczyk3, Ewa Kozdron4, Jerzy Chudek5, Monika Puzianowska-Kuznicka6,7, Tomasz Kostka8, Anna Skalska9, Malgorzata Mossakowska3.
Abstract
BACKGROUND: Rehabilitation tailored to older adults' needs might improve their functional performance and quality of life, as well as increase social participation. The aim of the study was to evaluate the use of medical rehabilitation services among older Poles in relation to socio-economic and health-related determinants.Entities:
Keywords: Aging; Disability; Health inequalities; PolSenior study; Population-based study; Rehabilitation medicine
Year: 2018 PMID: 30294398 PMCID: PMC6153710 DOI: 10.1007/s41999-018-0077-8
Source DB: PubMed Journal: Eur Geriatr Med ISSN: 1878-7649 Impact factor: 1.710
Fig. 1The utilization of medical rehabilitation services in terms of gender
Characteristics of the study group according to utilization of medical rehabilitation
| Variable | Characteristics | Women | Men | Total | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
| Use of rehabilitation services [ |
|
| Use of rehabilitation services [ |
|
| Use of rehabilitation services [ |
| ||
| Age [years] | 65–69 | 400 | 121; 30.3 |
| 368 | 72; 19.6 |
| 768 | 193; 25.1 |
|
| 70–74 | 431 | 123; 28.5 | 470 | 88; 18.7 | 901 | 211; 23.4 | ||||
| 75–79 | 388 | 85; 21.9 | 426 | 85; 20.0 | 814 | 170; 20.9 | ||||
| 80–84 | 353 | 59; 16.7 | 408 | 60; 14.7 | 761 | 119; 15.6 | ||||
| 85–89 | 378 | 35; 9.3 | 457 | 58; 12.7 | 835 | 93; 11.1 | ||||
| 90 + | 375 | 17; 4.5 | 359 | 30; 8.4 | 734 | 47; 6.4 | ||||
| Place of residence | Rural area | 967 | 103; 10.7 |
| 970 | 79; 8.1 |
| 1937 | 182; 9.4 |
|
| Urban area | 1358 | 337; 24.8 | 1518 | 314; 20.7 | 2876 | 651; 22.6 | ||||
| Place of residence [number of residents] | Rural area | 967 | 103; 10.7 |
| 970 | 79; 8.1 |
| 1937 | 182; 9.4 |
|
| City ≤ 20,000 | 311 | 64; 20.6 | 332 | 53; 16.0 | 643 | 117; 18.2 | ||||
| City > 20,000-50,000 | 275 | 61; 22.2 | 312 | 61; 19.6 | 587 | 122; 20.8 | ||||
| City > 50,000-200,000 | 280 | 70; 25.0 | 338 | 78; 23.1 | 618 | 148; 23.9 | ||||
| City > 200,000-500,000 | 105 | 27; 25.7 | 116 | 23; 19.8 | 221 | 50; 22.6 | ||||
| City > 500,000 | 387 | 115; 29.7 | 420 | 99; 23.6 | 807 | 214; 26.5 | ||||
| Education | Lack of education | 401 | 25; 6.2 |
| 272 | 14; 5.1 |
| 673 | 39; 5.8 |
|
| Primary | 1149 | 157; 13.7 | 971 | 92; 9.5 | 2120 | 249; 11.8 | ||||
| Vocational | 423 | 148; 35.0 | 496 | 119; 24.0 | 919 | 267; 29.1 | ||||
| Secondary | 163 | 43; 26.4 | 435 | 81; 18.6 | 598 | 124; 20.7 | ||||
| Bachelor | 104 | 36; 34.6 | 177 | 41; 23.2 | 281 | 77; 27.4 | ||||
| MCsa | 75 | 30; 40.0 | 132 | 45; 34.1 | 207 | 75; 36.2 | ||||
| Type of work | Blue-collar worker | 1005 | 160; 15.9 |
| 1407 | 182; 12.9 |
| 2412 | 342; 14.2 |
|
| Farmer | 372 | 29; 7.8 | 253 | 16; 6.3 | 625 | 45; 7.2 | ||||
| White-collar worker | 555 | 193; 34.8 | 641 | 159; 24.8 | 1196 | 352; 29.4 | ||||
| Otherb | 143 | 36; 25.2 | 155 | 33; 21.3 | 298 | 69; 23.2 | ||||
| Self-reported economic status | Enough money for all needs | 1291 | 281; 21.8 | NS | 1682 | 283; 16.8 | NS | 2973 | 564; 19.0 | NS |
| Enough money to make a living, but not for all needs | 643 | 123; 19.1 | 511 | 86; 16.8 | 1154 | 209; 18.1 | ||||
| Not enough money | 113 | 16; 14.2 | 67 | 6; 9.0 | 180 | 22; 12.2 | ||||
| Disability certificate | No | 1657 | 260; 15.7 |
| 1705 | 208; 12.2 |
| 3362 | 468; 13.9 |
|
| Yes | 623 | 176; 28.3 | 739 | 181; 24.5 | 1362 | 357; 26.2 | ||||
| Disability degree | Minor | 95 | 38; 40.0 |
| 109 | 26; 23.9 | NS | 204 | 64; 31.4 |
|
| Moderate | 212 | 79; 37.3 | 217 | 61; 28.1 | 429 | 140; 32.6 | ||||
| Severe | 291 | 54; 18.6 | 385 | 91; 23.6 | 676 | 145; 21.5 | ||||
| cADL status | Independent | 1980 | 404; 20.4 |
| 2190 | 356; 16.3 | NS | 4170 | 760; 18.2 |
|
| Partially dependent | 152 | 15; 9.9 | 145 | 15; 10.3 | 297 | 30; 10.1 | ||||
| Dependent | 163 | 15; 9.2 | 124 | 18; 14.5 | 287 | 33; 11.5 | ||||
| dIADL status | Independent | 1047 | 298; 28.5 |
| 1222 | 236; 19.3 |
| 2269 | 534; 23.5 |
|
| Partially dependent | 545 | 81; 14.9 | 549 | 91; 16.6 | 1094 | 172; 15.7 | ||||
| Dependent | 722 | 59; 8.2 | 702 | 66; 9.4 | 1424 | 125; 8.8 | ||||
| Chronic pain | No | 1185 | 174; 14.7 |
| 1594 | 209; 13.1 |
| 2779 | 383; 13.8 |
|
| Yes | 1125 | 263; 23.4 | 875 | 180; 20.6 | 2000 | 443; 22.2 | ||||
| Chronic pain intensity | Mild | 178 | 35; 19.7 | NS | 204 | 54; 26.5 |
| 382 | 89; 23.3 | NS |
| Moderate | 493 | 121; 24.5 | 424 | 73; 17.2 | 917 | 194; 21.2 | ||||
| Severe | 390 | 100; 25.6 | 204 | 50; 24.5 | 594 | 150; 25.3 | ||||
| Falls | No | 1691 | 334; 19.8 | NS | 1980 | 316; 16.0 | NS | 3671 | 650; 17.7 | NS |
| Yes | 608 | 103; 16.9 | 479 | 72; 15.0 | 1087 | 175; 16.1 | ||||
| eSRH | Poor | 226 | 32; 14.2 |
| 199 | 27; 13.6 | NS | 425 | 59; 13.9 |
|
| Fair | 1133 | 249; 22.0 | 1135 | 202; 17.8 | 2268 | 451; 19.9 | ||||
| Good | 759 | 142; 18.7 | 986 | 153; 15.5 | 1745 | 295; 16.9 | ||||
p value <0.05 is statistically significant
N total number of participants in age groups, n: number of rehabilitation users in age groups
aMCs master’s degree
bOther worker including salespersons, owners of a trade or service workshop, small entrepreneurs, uniformed services officers
cADL activities of daily living
dIADL instrumental activities of daily living
eSRH self-rated health
Factors associated with the utilization of medical rehabilitation among the PolSenior study respondents. Results of the multivariate logistic regression analysis
| Variable | Characteristics | Women | Men | ||||
|---|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | ||||
| Age [years] | 65–69 | Ref. | Ref. | ||||
| 70–74 | 0.89 | 0.64–1.24 | NS | 0.94 | 0.65–1.36 | NS | |
| 75–79 | 0.76 | 0.53–1.09 | NS | 1.10 | 0.76–1.61 | NS | |
| 80–84 | 0.66 | 0.44–0.99 |
| 0.74 | 0.49–1.12 | NS | |
| 85–89 | 0.36 | 0.21–0.60 |
| 0.72 | 0.47–1.10 | NS | |
| 90+ | 0.26 | 0.14–0.48 |
| 0.50 | 0.30–0.86 |
| |
| Place of residence | Rural area | Ref. | Ref. | ||||
| Urban area | 1.91 | 1.45–2.52 |
| 1.93 | 1.43–2.61 |
| |
| Education level | Primary/lack of education | ref. | ref. | ||||
| Vocational | 1.64 | 1.07–2.51 |
| 1.72 | 1.22–2.43 |
| |
| Secondary | 2.48 | 1.85–3.32 |
| 2.19 | 1.58–3.02 |
| |
| Bachelor | 1.90 | 1.17–3.10 |
| 2.05 | 1.31–3.19 |
| |
| MCsa | 2.82 | 1.63–4.88 |
| 3.84 | 2.42–6.07 |
| |
| bIADL status | Independent | Ref. | Ref. | ||||
| Partially dependent | 0.57 | 0.42–0.79 |
| 1.03 | 0.76–1.40 | NS | |
| Dependent | 0.61 | 0.40–0.92 |
| 0.67 | 0.47–0.97 |
| |
| Disability certificate | No | ref. | ref. | ||||
| Yes | 1.93 | 1.50–2.47 |
| 2.29 | 1.79–2.93 |
| |
| Chronic pain | No | Ref. | ref. | ||||
| Yes | 2.03 | 1.59–2.60 |
| 1.79 | 1.40–2.27 |
| |
| cSRH | Good | ref. | ref. | ||||
| Fair | 1.21 | 0.93–1.57 | NS | 1.15 | 0.89–1.47 | NS | |
| Poor | 0.86 | 0.53–1.38 | NS | 0.78 | 0.48–1.29 | NS | |
p value <0.05 is statistically significant
aMCs master’s degree
bIADL instrumental activities of daily living
cSRH self-rated health