| Literature DB >> 32605543 |
Ke Han1, Shengshu Wang1, Wangping Jia1, Wenzhe Cao1, Miao Liu1,2, Shanshan Yang1, Jianhua Wang1, Yao He3,4.
Abstract
BACKGROUND: Objective deterioration in activities of daily living (ADLs) exists among older population, and particularly worsens with age. Considering the criterion standard of positive aging and longevity, little information focusing on centenarians is available. This study set out to explore the relationship between serum albumin and ADLs among centenarians in long-lived areas.Entities:
Keywords: Activities of daily living; Centenarians; China; Prevalence; Serum albumin
Year: 2020 PMID: 32605543 PMCID: PMC7325239 DOI: 10.1186/s12877-020-01631-7
Source DB: PubMed Journal: BMC Geriatr ISSN: 1471-2318 Impact factor: 3.921
Prevalence of risk factors for ADL disability at two levels of serum albumin among 1002 centenarians
| Serum albumin | ||||
|---|---|---|---|---|
| Characteristics | Total( | Hypoalbuminemia ( | Normal Alb level ( | |
| Age, median (IQR),y | 102.0 (101.0–104.0) | 103.0 (101.0–105.0) | 102.0 (101.0–104.0) | 0.003 |
| Female,% | 822 (82.0) | 140 (80.5) | 682 (82.4) | 0.551 |
| Han ethnicity,% | 883 (88.1) | 156 (89.7) | 727 (87.8) | 0.492 |
| Illiterate,% | 915 (91.3) | 162 (93.1) | 753 (91.1) | 0.325 |
| Married,% | 100 (10.0) | 16 (9.2) | 84 (10.1) | 0.704 |
| Living with families,% | 863 (86.1) | 159 (91.4) | 704 (85.0) | 0.027 |
| Current smoker,% | 35 (3.5) | 6 (3.5) | 29 (3.5) | 0.963 |
| Current alcohol drinker,% | 99 (9.9) | 14 (8.1) | 85 (10.3) | 0.002 |
| Weekly exerciser,% | 129 (12.9) | 11 (6.3) | 118 (14.3) | 0.005 |
| BMI < 18.5 kg/m2,% | 575 (57.4) | 118 (67.8) | 457 (55.2) | 0.005 |
| Alb, median (IQR),g/L | 38.5 (36.2–41.3) | 32.8 (30.6–34.2) | 39.4 (37.7–41.7) | <0.001 |
| Hb, median (IQR), g/L | 103.0 (114.0–123.0) | 102.0 (94.0–113.0) | 116.9 (107.0–125.0) | <0.001 |
| TC, median (IQR), mmol/L | 4.60 (4.1–5.3) | 4.0 (3.4–4.6) | 4.66 (4.2–5.3) | <0.001 |
| 25OHD, median (IQR), ng/mL | 21.6 (16.9–27.8) | 20.9 (14.0–26.5) | 21.6 (17.4–28.1) | 0.001 |
| Diabetes,% | 96 (9.6) | 18 (10.3) | 78 (9.4) | 0.706 |
| Hypertension,% | 757 (75.6) | 121 (69.5) | 636 (76.8) | 0.042 |
| Heart disease,% | 41 (4.1) | 5 (2.9) | 36 (4.3) | 0.255 |
| Stroke,% | 22 (2.2) | 1 (0.6) | 21 (2.5) | 0.153 |
| Renal function impaired,% | 299 (29.8) | 56 (32.2) | 243 (29.4) | 0.457 |
| BADL disability,% | 287 (28.6) | 94 (54.0) | 193 (23.3) | <0.001 |
| IADL disability,% | 648 (64.7) | 151 (86.8) | 497 (60.0) | <0.001 |
Abbreviations: ADL Activities of daily living; IQR Interquartile range; BMI Body mass index; Alb Serum albumin; Hb Hemoglobin; TC Total cholesterol; 25OHD Serum 25-hydroxyvitamin D
Association between serum albumin level and ADLs a, b
| BADL | IADL | |||||
|---|---|---|---|---|---|---|
| Standard β | Standard error | P | Standard β | Standard error | P | |
| Crude model | 0.241 | 0.017 | 0.001 | 0.292 | 0.021 | <0.001 |
| Model 1 | 0.236 | 0.018 | 0.002 | 0.273 | 0.020 | <0.001 |
| Model 2 | 0.230 | 0.020 | 0.006 | 0.200 | 0.022 | 0.009 |
| Model 3 | 0.218 | 0.020 | 0.011 | 0.194 | 0.022 | 0.013 |
| Crude model | 0.405 | 0.008 | <0.001 | 0.272 | 0.008 | <0.001 |
| Model 1 | 0.399 | 0.008 | <0.001 | 0.255 | 0.008 | <0.001 |
| Model 2 | 0.360 | 0.009 | <0.001 | 0.216 | 0.009 | <0.001 |
| Model 3 | 0.347 | 0.009 | <0.001 | 0.205 | 0.009 | <0.001 |
| Crude model | 0.373 | 0.007 | <0.001 | 0.271 | 0.008 | <0.001 |
| Model 1 | 0.369 | 0.007 | <0.001 | 0.256 | 0.007 | <0.001 |
| Model 2 | 0.344 | 0.008 | <0.001 | 0.213 | 0.008 | <0.001 |
| Model 3 | 0.335 | 0.008 | <0.001 | 0.206 | 0.008 | <0.001 |
a Crude model: None adjusted;
Model 1:Adjusted for age, ethnicity, marriage, educational levels, residence type
Model 2:Model 1 plus smoking status, alcohol drinking status, weekly exercise, BMI classification, hemoglobin, total cholesterol, serum 25-hydroxyvitamin D
Model 3:Model 2 plus diabetes, hypertension, heart disease, stroke, renal function impaired
b ADLs were transformed to Z score with a mean of 0 and standard deviation (SD) of 1
Association between serum albumin level and BADL/IADL disability a, b
| Total | Male | Female | |
|---|---|---|---|
| BADL disability | |||
| Crude model | 0.829 (0.798,0.862) | 0.899 (0.824,0.982) | 0.813 (0.778,0.850) |
| Model 1 | 0.829 (0.797,0.862) | 0.889 (0.809,0.977) | 0.814 (0.779,0.851) |
| Model 2 | 0.832 (0.794,0.872) | 0.864 (0.767,0.973) | 0.827 (0.785,0.871) |
| Model 3 | 0.835 (0.797,0.876) | 0.866 (0.768,0.977) | 0.831 (0.788,0.877) |
| IADL disability | |||
| Crude model | 0.858 (0.826,0.892) | 0.857 (0.788,0.932) | 0.854 (0.818,0.892) |
| Model 1 | 0.856 (0.823,0.891) | 0.861 (0.789,0.939) | 0.855 (0.818,0.894) |
| Model 2 | 0.861 (0.822,0.903) | 0.883 (0.793,0.983) | 0.859 (0.815,0.905) |
| Model 3 | 0.863 (0.824,0.905) | 0.888 (0.795,0.991) | 0.863 (0.819,0.910) |
a The adjusted covariates in models are the same as in Table 2
b Described as OR (95%CI)