2022
DOI: 10.2188/jea.je20200473
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Risk of Herpes Zoster in Relation to Body Mass Index Among Residents Aged ≥50 Years: The Shozu Herpes Zoster Study

Abstract: Background: The impact of body mass index on incidence of herpes zoster is unclear. This study investigated whether body mass index was associated with a history of herpes zoster and incidence during a 3-year follow-up, using data from a prospective cohort study in Japan. Methods: In total, 12,311 individuals were included in the cross-sectional analysis at baseline, of whom 1,818 with a history of herpes zoster were excluded from the incidence analysis, leaving 10,493 individuals. Body mass index (kg=m 2 ) wa… Show more

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Cited by 7 publications
(6 citation statements)
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“…BMI was positively correlated with higher CD4+ count and CD4+/CD8+ ratio, 44 and psychological distress may influence human immune function, particularly in women 45 . These immunological mechanisms are consistent with our previous research that overweight women had a lower risk of HZ incidence 21 …”
Section: Discussionsupporting
confidence: 91%
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“…BMI was positively correlated with higher CD4+ count and CD4+/CD8+ ratio, 44 and psychological distress may influence human immune function, particularly in women 45 . These immunological mechanisms are consistent with our previous research that overweight women had a lower risk of HZ incidence 21 …”
Section: Discussionsupporting
confidence: 91%
“…45 These immunological mechanisms are consistent with our previous research that overweight women had a lower risk of HZ incidence. 21 HZ is preventable by vaccination, and the freeze-dried recombinant HZ vaccine is recommended for older people in some developed countries (e.g., the United States). However, this vaccine is expensive to distribute in developing countries.…”
Section: Ta B L E 3 (Continued)mentioning
confidence: 73%
See 1 more Smart Citation
“…A logistic regression model was applied to obtain the odds ratios and 95% confidence intervals (CIs) of a positive VZV test according to past history of HZ, adjusting for potential confounding variables such as age, sex, body mass index, smoking status sleep duration, and mental stress. [16][17][18][19] For follow-up analysis, we applied a Cox proportional hazard regression model to obtain hazard ratios and 95% CIs of incident HZ according to past history of HZ, adjusting for age, sex, body mass index, smoking, sleep duration, and mental stress. All statistical analyses were two-tailed and P < 0.05 was considered statistically significant.…”
Section: Discussionmentioning
confidence: 99%
“…Potential confounding variables other than age and sex were lower body mass index (BMI) [ 13 ], smoking [ 14 ], drinking [ 15 ], mental stress [ 16 ], motivation [ 16 ], negative life event [ 16 ], underlying diseases such as hypertension, hyperlipidemia, diabetes mellitus [ 17 ], cancer [ 18 ], and connective tissue diseases [ 19 ].…”
Section: Introductionmentioning
confidence: 99%