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Sex differences in age trajectories of physiological dysregulation: inflammation, metabolic syndrome, and allostatic load.

ABSTRACT: There is a paucity of knowledge from population data about sex differences and their age variation in physiological determinants of longevity. This study fills this gap using nationally representative samples of 38,000 individuals aged 17+ from the National Health and Nutrition Examination Survey (1988-2006). It examines sex differences in the age trajectories of 14 markers of physiological functions across multiple systems and three summary indices including inflammation burden, metabolic syndrome, and allostatic load. Statistical analyses show substantial sex differences, age variations, and sex by age interaction effects for all variables examined. These patterns remain robust after adjustment of risk factors and shed light on the biological base of the reduction of sex difference in mortality in the post-reproductive life span.

SUBMITTER: Yang Y

PROVIDER: S-EPMC3107023 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature

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Sex differences in age trajectories of physiological dysregulation: inflammation, metabolic syndrome, and allostatic load.

Yang Yang Y Kozloski Michael M

The journals of gerontology. Series A, Biological sciences and medical sciences 20110224 5

There is a paucity of knowledge from population data about sex differences and their age variation in physiological determinants of longevity. This study fills this gap using nationally representative samples of 38,000 individuals aged 17+ from the National Health and Nutrition Examination Survey (1988-2006). It examines sex differences in the age trajectories of 14 markers of physiological functions across multiple systems and three summary indices including inflammation burden, metabolic syndr ...[more]

PMID: 21350248

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Project description:Given the broad spectrum of health and wellbeing outcomes that are patterned by socioeconomic position (SEP), it has been suggested that there may be common biological pathways linking SEP and health. Allostatic load is one such pathway, which aims to measure cumulative burden/dysregulation across multiple physiological systems. This study aimed to determine the contextual and demographic factors (age, sex and place) that may be important in better understanding the links between lower SEP and higher allostatic load.Data were from a nationally representative sample of adults (18+): the Scottish Health Survey (2008-2011). Higher SEP ('1') was defined as having 'Higher'-level, secondary school qualifications versus having lower level or no qualifications ('0'). For allostatic load, a range of 10 biomarkers across the cardiovascular, metabolic and immune systems were used. Respondents were scored "1" for each biomarker that fell into the highest quartile of risk. Linear regressions were run in STATA, including SEP, age (continuous and as a 7-category variable), sex (male/female), urbanity (a 5-category variable ranging from primary cities to remote rural areas) and geographical location (based on 10 area-level healthboards). Interactions between SEP and each predictor, as well as stratified analyses, were tested.Lower SEP was associated with higher allostatic load even after adjusting for age, sex and place (b = -0.631, 95 % CI -0.795, -0.389, p < 0.001). There was no significant effect moderation between SEP and age, sex or place. Stratified analysis did show that the inequality identified in the baseline models widened with age, becoming significant at ages 35-44, before narrowing at older ages (75+). There was no difference by sex, but more mixed findings with regards place (urbanity or geographical location), with a mix of significant and non-significant results by SEP that did not appear to follow any pattern.Inequalities in allostatic load by educational attainment, as a measure of SEP, are consistent with age, sex and place. However, these stratified analyses showed that these inequalities did widen with age, before narrowing in later life, matching the patterns seen with other objective and subjective health measures. However, effect moderation analysis did not support evidence of a statistically significant interaction between age and SEP. Context remains an important feature in understanding and potentially addressing inequalities, although may be less of an issue in terms of physiological burden.

Project description:Background Prevention of hearing loss via addressing potentially modifiable risk factors may offer means of reducing the global burden of hearing loss. Prior studies reported associations between individual markers of inflammation and risk of hearing impairment. Allostatic load is an index of cumulative physiological stressors, including inflammation, to multiple biological systems. Our aims were to investigate associations between allostatic load and both audiometric and self-reported hearing impairment and examine whether associations are stronger over time due to prolonged high allostatic load. Methods Data were taken from the English Longitudinal Study of Ageing (ELSA), a nationally representative study of people aged 50+ living in England over 3 time points between 2008 and 2014. Allostatic load score was comprised of thirteen different measures available at baseline and 4 years post-baseline (high-density lipoprotein/total cholesterol, triglyceride, fibrinogen, haemoglobin A1c, C-reactive protein, insulin-like growth factor 1 (IGF-1), systolic and diastolic blood pressure, mean arterial pressure, resting pulse rate, peak expiratory flow, BMI and waist circumference), measured using clinical cut-off points for normal biomarker parameters. Hearing acuity was measured with a simple handheld tone-producing device at follow-up 7 years post-baseline, while self-reported hearing impairment was measured at time point. Results We included samples of 4373 and 4430 for the cross-sectional and longitudinal analysis, respectively. In the cross-sectional model high allostatic load was associated both self-reported (OR = 1.08, 95% CI 1.0,1.1; p < 0.01) and objective hearing loss (OR = 1.10, 95% CI 1.1,1.2; p < 0.001) adjusting for age and sex. Cross-sectional associations between allostatic load and hearing were not significant after further adjustment for covariates (qualification, physical activity and smoking). In longitudinal modelling, high allostatic load was associated with both audiometric (Z score OR = 1.11, 95% CI 1.1,1.2; p < 0.001) and self-reported hearing impairment (OR = 1.08, 95% CI 1.0,1.1; p < 0.001) adjusting for age and sex. Allostatic load was no longer associated with self-reported hearing loss but the association with audiometric hearing impairment (OR = 1.08, 95% CI 1.03,1.13; p < 0.001) remained following additional adjustment for baseline self-reported hearing, education, physical activity, and smoking. Conclusions Prolonged high allostatic load was associated with risk of hearing impairment. Reducing allostatic load via healthy lifestyle changes including non-smoking, healthy diet and exercise may offer an opportunity to reduce the risk of hearing impairment in later life. Highlights • Allostatic load captures cumulative physiological stress which has consequence for subsequent hearing function.• Prolonged high allostatic load was associated with risk of objectively measured hearing impairment.• This association is shown in nationally representative longitudinal ageing study.

Dataset Information

Sex differences in age trajectories of physiological dysregulation: inflammation, metabolic syndrome, and allostatic load.

Publications

Sex differences in age trajectories of physiological dysregulation: inflammation, metabolic syndrome, and allostatic load.

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