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Self-Reported Mental and Physical Measures in Adult Fontan Patients

ABSTRACT: Introduction: The Fontan procedure is a palliative operation for patients with single functional ventricles, arising from a heterogeneous group of heart defects. There is a considerable gap in evidence regarding the self-reported physical and mental health of these patients surviving to adulthood. Methods and Results: We administered the PROMIS® Global Short Form (v 1.2) to Fontan patients during their scheduled clinic visits during 2017–2018. The raw PROMIS scores were subsequently converted to standardized T-scores, where the mean performance was 50 for the general population. We used Cronbach’s alpha to assess reliability, with >0.8 considered good. A total of 42 patients were included. The median age was 30 (IQR: 24–34) years and 59% (95% CI: 43–74%) were female. The median time from birth to operation was 4.5 (IQR: 3–8) years, with 55% having an extracardiac Fontan. The questionnaire had good internal reliability with an alpha of 0.87. Seventy-one percent of respondents rated their overall health as “excellent” or “good”. The mean T-score for physical health was 46.6, lower than the age-group mean (51.6, p < 0.001). The mean T-score for mental health was 53.3, higher than the age-group mean (48.5, p < 0.001). T-scores showed strong correlation with each other (r = 0.7) and weak correlation with age and time from procedure. There was no association of T-score with diagnosis or operation type. Conclusions: Adult Fontan patients report better mental health despite worse reporting physical health compared with the age group means. Patient-reported measures can provide clinically meaningful insights about the care of patients with complex congenital heart disease.

SUBMITTER: Schamroth Pravda N

PROVIDER: S-EPMC9323562 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundIt remains unclear what people are attempting to communicate, in terms of objectively monitored behavior, when describing their physical activity and sedentary behavior through self-report. The purpose of this study was to examine various objectively monitored accelerometer variables (e.g., moderate-to-vigorous physical activity [MVPA], steps/day, sedentary time, etc.) across categories of self-reported MVPA (< 150 vs. ? 150 minutes/week), usual occupational/domestic activity (UODA; "mostly sitting" vs. "stand, walk, lift, or carry"), and leisure-time sedentary behavior (LTSB; ? 3 vs. < 3 hours/day) in a nationally representative sample of U.S. adults (? 20 years).MethodsThis is a secondary analysis of 3,725 participants from the 2005-2006 National Health and Nutrition Examination Survey (NHANES) who provided relevant questionnaire responses and???1 day of valid accelerometer data. Descriptive statistics were computed for various objectively monitored accelerometer variables across categories of self-reported MVPA, UODA, and LTSB. Pairwise comparisons were conducted to examine differences in objectively monitored behavior between categories of self-reported MVPA, UODA, and LTSB.ResultsOn average, adults reporting compliance with physical activity guidelines (? 150 minutes/week of MVPA) accumulated more objectively measured physical activity and similar amounts of sedentary time relative to those reporting not achieving guidelines. Adults reporting their daily UODA as "mostly sitting" or accruing???3 hours/day of LTSB accumulated less objectively monitored physical activity and more sedentary time than those who described their UODA as "stand, walk, lift, or carry" or accrued?<?3 hours/day of LTSB. The most active cross-classified category (7,935 steps/day; ? 150 minutes/week of self-reported MVPA, "stand, walk, lift, or carry" UODA, and?<?3 hours/day of LTSB) accumulated more than twice as many daily steps as the least active cross-classified category (3,532 steps/day; < 150 minutes/week of self-reported MVPA, "mostly sitting" UODA, and???3 hours/day of LTSB).ConclusionsA number of objectively monitored physical activity indicators varied significantly between self-reported MVPA, UODA, and LTSB categories, while objectively monitored sedentary time only varied between UODA and LTSB categories. Cross-classifications of self-reported MVPA, UODA, and LTSB responses depict a greater range of physical activity than viewing dichotomous responses for these variables one-at-a-time.

Project description:BackgroundModerate-to-vigorous intensity physical activity (MVPA) is associated with favorable self-rated mental and physical health. Conversely, poor self-rated health in these domains could precede unfavorable shifts in activity. We evaluated bidirectional associations of accelerometer-estimated time spent in stationary behavior (SB), light intensity physical activity (LPA), and MVPA with self-rated health over 10 years in in the CARDIA longitudinal cohort study.MethodsParticipants (n = 894, age: 45.1 ± 3.5; 63% female; 38% black) with valid accelerometry wear and self-rated health at baseline (2005-6) and 10-year follow-up (2015-6) were included. Accelerometry data were harmonized between exams and measured mean total activity and duration (min/day) in SB, LPA, and MVPA; duration (min/day) in long-bout and short-bout SB (≥30 min vs. < 30 min) and MVPA (≥10 min vs. < 10 min) were also quantified. The Short-Form 12 Questionnaire measured both a mental component score (MCS) and physical component score (PCS) of self-rated health (points). Multivariable linear regression associated baseline accelerometry variables with 10-year changes in MCS and PCS. Similar models associated baseline MCS and PCS with 10-year changes in accelerometry measures.ResultsOver 10-years, average (SD) MCS increased 1.05 (9.07) points, PCS decreased by 1.54 (7.30) points, and activity shifted toward greater SB and less mean total activity, LPA, and MVPA (all p < 0.001). Only baseline short-bout MVPA was associated with greater 10-year increases in MCS (+ 0.92 points, p = 0.021), while baseline mean total activity, MVPA, and long-bout MVPA were associated with greater 10-year changes in PCS (+ 0.53 to + 1.47 points, all p < 0.005). In the reverse direction, higher baseline MCS and PCS were associated with favorable 10-year changes in mean total activity (+ 9.75 cpm, p = 0.040, and + 15.66 cpm, p < 0.001, respectively) and other accelerometry measures; for example, higher baseline MCS was associated with - 13.57 min/day of long-bout SB (p < 0.001) and higher baseline PCS was associated with + 2.83 min/day of MVPA (p < 0.001) in fully adjusted models.ConclusionsThe presence of bidirectional associations between SB and activity with self-rated health suggests that individuals with low overall activity levels and poor self-rated health are at high risk for further declines and supports intervention programming that aims to dually increase activity levels and improve self-rated health.

Project description:BackgroundMetrics based on self-reports of health status have been proposed for tracking population health and making comparisons among different populations. While these metrics have been used in the US to explore disparities by sex, race/ethnicity, and socioeconomic position, less is known about how self-reported health varies geographically. This study aimed to describe county-level trends in the prevalence of poor self-reported health and to assess the face validity of these estimates.MethodsWe applied validated small area estimation methods to Behavioral Risk Factor Surveillance System data to estimate annual county-level prevalence of four measures of poor self-reported health (low general health, frequent physical distress, frequent mental distress, and frequent activity limitation) from 1995 and 2012. We compared these measures of poor self-reported health to other population health indicators, including risk factor prevalence (smoking, physical inactivity, and obesity), chronic condition prevalence (hypertension and diabetes), and life expectancy.ResultsWe found substantial geographic disparities in poor self-reported health. Counties in parts of South Dakota, eastern Kentucky and western West Virginia, along the Texas-Mexico border, along the southern half of the Mississippi river, and in southern Alabama generally experienced the highest levels of poor self-reported health. At the county level, there was a strong positive correlation among the four measures of poor self-reported health and between the prevalence of poor self-reported health and the prevalence of risk factors and chronic conditions. There was a strong negative correlation between prevalence of poor self-reported health and life expectancy. Nonetheless, counties with similar levels of poor self-reported health experienced life expectancies that varied by several years. Changes over time in life expectancy were only weakly correlated with changes in the prevalence of poor self-reported health.ConclusionsThis analysis adds to the growing body of literature documenting large geographic disparities in health outcomes in the United States. Health metrics based on self-reports of health status can and should be used to complement other measures of population health, such as life expectancy, to identify high need areas, efficiently allocate resources, and monitor geographic disparities.

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Self-Reported Mental and Physical Measures in Adult Fontan Patients

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