ABSTRACT
INTRODUCTION: Cognitive impairment and frailty are prevalent in older persons. Physical frailty is associated with cognitive decline; however, the role of effect modifiers such as age, sex, race/ethnicity, and cognitive reserve is not well understood. METHODS: Cross-sectional data from the National Health and Nutrition Examination Survey (2011-2014) were obtained for participants aged ≥60 years. Complete availability of cognitive scores was an inclusion criterion. Physical frailty was defined by the presence of exhaustion, weakness, low body mass, and/or low physical activity, and categorized into three groups: robust (0 present), pre-frail (1-2 present), or frail (3-4 present). Four cognitive test scores were converted to z-scores, and global cognition (composite z-score) was calculated by averaging the four-individual z-scores. Multivariable linear regression models were fit to estimate the associations between frailty and cognitive function. Frailty was also evaluated as a risk factor for self-reported subjective memory complaint (SMC) using logistic regression. All models were adjusted for age, sex, race/ethnicity, education, alcohol use, income, marital status, diabetes, hypertension, and history of stroke. Effect measure modification analyses were conducted by age, sex, race/ethnicity, education, and occupational cognitive demand. RESULTS: The study population comprised 2,863 participants aged ≥60 years. 50.6% of the participants were categorized into robust, 43.2% pre-frail, and 6.2% frail. After adjusting for covariates, compared to robust participants, frail and prefrail participants had lower adjusted mean global cognitive z-scores,
Subject(s)
Cognitive Dysfunction , Frailty , Aged , Humans , Aged, 80 and over , Frailty/diagnosis , Frail Elderly , Cross-Sectional Studies , Nutrition Surveys , Geriatric Assessment , Cognitive Dysfunction/epidemiology , Cognitive Dysfunction/complications , CognitionABSTRACT
Research suggests that farmer suicide rates are at least two-fold higher than the general population. In estimating rates, prior research considered suicide events among farmers together with farmworkers, fishing, and forestry occupations and included non-farming populations in the defined at-risk populations (i.e., denominators). In this study, we sought to define and differentiate farmer suicide decedents from other agricultural occupations, estimate U.S. farmer suicide rates, and evaluate rate time trends. Farmer suicide decedents were ascertained from the 36 states in the National Violent Death Reporting System (NVDRS) from 2003-2017 using NVDRS occupation data. Farmers were defined as persons responsible for day-to-day farm decisions and operations. An expert panel was convened to classify farmer occupations. Rates were calculated using Census of Agriculture-identified farmers as the rate denominator, and time trends were evaluated using regression. Due to a low number of female decedents, female farmer suicide rates were not estimated. We identified1,575 male farmer suicide decedents and 77 female farmer decedents from the NVDRS during the study period. Aggregated age-specific male farmer suicide rates were highest among farmers ages 65 years and older (22.0/100,000). Estimated suicide rates for male farmers were highest during 2003 (31.8/100,000) and lowest during 2005 (19.2/100,000). Trend analysis revealed a statistically significant 2.4% annual percent change (APC) in rates over the 15-year study period. Suicide rates among male farmers showed evidence of an increase from 2003-2017. Farmer suicide rates parallel the rates of the U.S. population; thus, farmer suicide remains a public health concern.