| Literature DB >> 33304719 |
Hirohide Yokokawa1, Hiroshi Fukuda1, Mizue Saita1, Taiju Miyagami1, Yuichi Takahashi1, Teruhiko Hisaoka1, Toshio Naito1.
Abstract
BACKGROUND: Studies that have examined serum zinc deficiency/marginal deficiency in developed countries, including Japan, are still limited. The aim of this study was to assess serum zinc concentrations and associated characteristics among Japanese subjects.Entities:
Keywords: aging; deficiency; epidemiology; nutrition; prevention; zinc
Year: 2020 PMID: 33304719 PMCID: PMC7689236 DOI: 10.1002/jgf2.377
Source DB: PubMed Journal: J Gen Fam Med ISSN: 2189-7948
Figure 1Proportion of zinc concentrations
Participant characteristics (N = 2056)
|
|
| ||||
|---|---|---|---|---|---|
| Serum zinc concentration (μg/dL) | |||||
| <80 (n = 889) | ≥80 (n = 1167) | ||||
| Age (years) |
|
|
|
| <.01 |
| Gender (men) | 545 | (61.3%) | 628 | (53.8%) | <.01 |
| Anthropometric measurements | |||||
| Body mass index (kg/m2) |
|
|
|
| .41 |
| Waist circumference (cm) |
|
|
|
| .27 |
| Healthy lifestyle characteristics | |||||
| Alcohol consumption (non–daily drinker) | 539 | (64.6%) | 800 | (73.6%) | <.01 |
| Smoking behavior (nonsmoker) | 731 | (87.4%) | 937 | (86.5%) | .55 |
| Exercise frequency (≥2 times per week) | 234 | (30.3%) | 318 | (30.9%) | .80 |
| Body mass index (18.5‐24.9 kg/m2) | 566 | (63.7%) | 745 | (63.8%) | .96 |
| Adequate sleep duration (yes) | 631 | (77.8%) | 808 | (77.0%) | .69 |
| Breakfast (every morning) | 665 | (79.4%) | 884 | (81.3%) | .28 |
| Snack between meals (no) | 585 | (79.3%) | 721 | (77.0%) | .27 |
| Proportion of participants with 6 or 7 total number of healthy lifestyle items | 212 | (32.9%) | 281 | (33.5%) | .82 |
| Hypertensive medication (yes) | 200 | (22.5%) | 210 | (18.0%) | .01 |
| Systolic blood pressure (mm Hg) |
|
|
|
| .47 |
| Diastolic blood pressure (mm Hg) |
|
|
|
| .47 |
| Diabetic medication (yes) | 50 | (5.6%) | 79 | (6.8%) | .29 |
| Fasting blood glucose (mg/dL) |
|
|
|
| .70 |
| Hemoglobin A1c (%) |
|
|
|
| .04 |
| Fasting immunoreactive insulin |
|
|
|
| .34 |
| C‐peptide immunoreactivity | 1.75 | (0.86) | 1.71 | (0.77) | .03 |
| Dyslipidemia medication (yes) | 75 | (8.4%) | 115 | (9.9%) | .27 |
| Total cholesterol (mg/dL) |
|
|
|
| <.01 |
| High‐density cholesterol (mg/dL) |
|
|
|
| .58 |
| Low‐density cholesterol (mg/dL) |
|
|
|
| <.01 |
| Triglyceride (mg/dL) |
|
|
|
| .03 |
| Hyperuricemia medication (yes) | 32 | (3.6) | 35 | (3.0) | .45 |
| Uric acid (mg/dL) |
|
|
|
| .53 |
| Total protein (g/dL) |
|
|
|
| <.01 |
| Albumin (g/dL) |
|
|
|
| <.01 |
| Hemoglobin (g/dL) |
|
|
|
| <.01 |
| High‐sensitivity C‐reactive protein (mg/dL) |
|
|
|
| .03 |
| Organ damage/cardiovascular disease | |||||
| Cardiovascular disease | 52 | (5.8%) | 43 | (3.7%) | .02 |
| Cerebrovascular disease | 20 | (2.2%) | 22 | (1.9%) | .56 |
| eGFR (mL/min/1.73 m2) |
|
|
|
| .03 |
Abbreviations: eGFR, estimated glomerular filtration rate; N, number; SD, standard deviation.
Gender‐specific basic characteristics (N = 2056)
| Men (n = 1173) | Women (n = 883) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
|
| |||||||||
| Serum zinc concentration (μg/dL) | Serum zinc concentration (μg/dL) | |||||||||
| <80 (n = 545) | ≥80 (n = 628) | <80 (n = 344) | ≥80 (n = 539) | |||||||
| Age (years) |
|
|
|
| <.01 |
|
|
|
| .92 |
| Anthropometric measurements | ||||||||||
| Body mass index (kg/m2) |
|
|
|
| .28 |
|
|
|
| .06 |
| Waist circumference (cm) |
|
|
|
| .10 |
|
|
|
| .09 |
| Healthy lifestyle characteristics | ||||||||||
| Alcohol consumption (non–daily drinker) | 285 | (55.1%) | 366 | (63.2%) | <.01 | 254 | (79.9%) | 434 | (85.4%) | .04 |
| Smoking behavior (nonsmoker) | 434 | (83.6%) | 469 | (81.4%) | .34 | 297 | (93.7%) | 468 | (92.3%) | .45 |
| Exercise frequency (≥2 times per week) | 160 | (32.9%) | 195 | (34.8%) | .53 | 74 | (25.9%) | 123 | (26.2%) | .92 |
| Body mass index (18.5‐24.9 kg/m2) | 336 | (61.7%) | 365 | (58.1%) | .22 | 230 | (67.1%) | 380 | (70.5%) | .28 |
| Adequate sleep duration (yes) | 402 | (79.1%) | 447 | (79.0%) | .95 | 229 | (75.6%) | 361 | (74.6%) | .79 |
| Breakfast (every morning) | 412 | (79.2%) | 477 | (82.2%) | .21 | 253 | (79.6%) | 407 | (80.3%) | .80 |
| Snack between meals (no) | 369 | (79.7%) | 384 | (75.7%) | .14 | 216 | (78.5%) | 337 | (78.6%) | .99 |
| Proportion of participants with 6 or 7 total number of healthy lifestyle items | 120 | (28.9%) | 141 | (30. %1) | .69 | 92 | (40.2%) | 140 | (37.7%) | .55 |
| Hypertensive medication (yes) | 155 | (28.4%) | 135 | (21.5%) | <.01 | 45 | (13.1%) | 75 | (13.9%) | .73 |
| Systolic blood pressure (mm Hg) |
|
|
|
| .67 |
|
|
|
| .45 |
| Diastolic blood pressure (mm Hg) |
|
|
|
| .25 |
|
|
|
| .78 |
| Diabetic medication (yes) | 44 | (8.1%) | 63 | (10.0%) | .25 | 6 | (1.7%) | 16 | (3.0%) | .26 |
| Fasting blood glucose (mg/dL) |
|
|
|
| .80 |
|
|
|
| .57 |
| Hemoglobin A1c (%) |
|
|
|
| .20 |
|
|
|
| <.01 |
| Fasting immunoreactive insulin |
|
|
|
| .05 |
|
|
|
| .83 |
| C‐peptide immunoreactivity |
|
|
|
| .28 |
|
|
|
| .45 |
| Dyslipidemia medication (yes) | 52 | (9.5%) | 59 | (9.4%) | .93 | 23 | (6.7%) | 56 | (10.4%) | .06 |
| Total cholesterol (mg/dL) |
|
|
|
| .02 |
|
|
|
| <.01 |
| High‐density cholesterol (mg/dL) |
|
|
|
| .10 |
|
|
|
| .24 |
| Low‐density cholesterol (mg/dL) |
|
|
|
| .02 |
|
|
|
| <.01 |
| Triglyceride (mg/dL) |
|
|
|
| .05 |
|
|
|
| <.01 |
| Hyperuricemia medication (yes) | 32 | (5.9) | 35 | (5.6) | .83 | 0 | (0.0) | 0 | (0.0) | |
| Uric acid (mg/dL) |
|
|
|
| .02 |
|
|
|
| .18 |
| Total protein (g/dL) |
|
|
|
| <.01 |
|
|
|
| <.01 |
| Albumin (g/dL) |
|
|
|
| <.01 |
|
|
|
| <.01 |
| Hemoglobin (g/dL) |
|
|
|
| <.01 |
|
|
|
| <.01 |
| High‐sensitivity C‐reactive protein (mg/dL) |
|
|
|
| .13 |
|
|
|
| .18 |
| Organ damage | ||||||||||
| Cardiovascular disease | 42 | (7.7%) | 31 | (4.9%) | .05 | 10 | (2.9%) | 12 | (2.2%) | .53 |
| Cerebrovascular disease | 14 | (2.6%) | 14 | (2.2%) | .70 | 6 | (1.7%) | 8 | (1.5%) | .76 |
| eGFR (mL/min/1.73 m2) |
|
|
|
| <.01 |
|
|
|
| .09 |
Abbreviations: eGFR, estimated glomerular filtration rate; N, number; SD, standard deviation.
Figure 2Relationship between age categories and serum zinc concentrations among males (A) and females (B)