Effects of exercise, age and gender on salivary secretory immunoglobulin A in elderly individuals

Kazuhiro Shimizu, Fuminori Kimura, Takayuki Akimoto, Takao Akama, Takeshi Otsuki, Takahiko Nishijima, Shinya Kuno, Ichiro Kono*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)

Abstract

The influence of age and gender on salivary secretory immunoglobulin A (SIgA) in response to moderate exercise training was studied in 158 elderly subjects. Subjects were assigned to an exercise training group (EXC: 51 males, 74 females) or a non-exercise control group (CON: 11 males, 22 females). The subjects in each group were separated into four age-gender subgroups (60-69-yr-old males, over 70-yr-old males, 60-69-yr-old females, over 70-yr-old females) and compared by age and gender. Subjects in EXC participated in exercise sessions 5-days a week for 6 months. Saliva samples were collected both before and after the study period. The SIgA secretion rates were significantly increased after training (p < 0.05) in all the age-gender subgroups of EXC (60-69 males: 41%, over 70 males: 55%, 60-69 females: 40%, over 70 females: 38%); no age- or gender-related differences were observed. On the other hand, none of the age-gender sub-groups of CON showed significant changes in the SIgA secretion rate; also, there were no age- or gender-related differences. In conclusion, enhancement of mucosal immune function following regular moderate exercise training occurs in elderlies in their 60s and over 70 years, and in both, males and females.

Original languageEnglish
Pages (from-to)55-66
Number of pages12
JournalExercise immunology review
Volume13
Publication statusPublished - 2007

Keywords

  • Aging
  • Mucosal immune function
  • Physical activity
  • Sex

ASJC Scopus subject areas

  • Medicine(all)

Fingerprint

Dive into the research topics of 'Effects of exercise, age and gender on salivary secretory immunoglobulin A in elderly individuals'. Together they form a unique fingerprint.

Cite this