The relationship between resting metabolic rate and quality of life is moderated by age and body composition in women: a cross-sectional study.

BACKGROUND: Health-related quality of life (HRQOL) is related to body composition, which is also related to resting metabolic rate (RMR). RMR can be increased by exercise and diet interventions that are not dependent on changes in body composition, so a link between RMR and HRQOL may provide interventions that directly improve HRQOL in women. METHODS: One hundred twenty women (median age 63.5 [IQR: 53.0-71.0] years) completed one-time measurement of body composition (multi-frequency bioelectrical impedance), RMR (handheld calorimetry), and HRQOL (RAND-36). Physical (PCS) and mental (MCS) composite scores were calculated for the RAND-36. Pearson correlations were used to identify relationships between RMR, body composition, and HRQOL. Variables at the p < .01 level were entered into multiple regression models. RESULTS: Median body mass index was 26.1 [IQR: 23.2-30.9] kg/m2 and median lean mass index was 16.1 [IQR: 14.6-17.3] kg/m2. Body composition consisted of fat mass (median 27.2 [IQR: 20.3-34.7] kg) and lean mass (median 42.7 [IQR: 38.2-46.9] kg). Median RMR was 1165.0 [IQR: 1022.5-1380.0] kcal/day. Median HRQOL scores were PCS (84.0 [IQR: 74.0-93.0]) and MCS (85.0 [IQR: 74.3-90.0]). RMR was not directly related to PCS, but was directly and negatively related to MCS (p = .002). RMR was significantly and positively related to body composition (lean mass: p < .001; fat mass: p < .001), body mass index (p = .005), and lean mass index (p < .001); but only fat mass (PCS: p < .001; MCS: p < .001) and body mass index (PCS: p < .001; MCS: p < .001) were related to HRQOL, although the relationship was negative. In addition, age was found to be significantly negatively related to RMR (p < .001) and PCS (p = .003). Regression models confirmed the moderating influence of age and body composition on the relationship between RMR and HRQOL. RMR, age, fat mass, and body mass index explained 24% (p < .001) of variance in PCS; and RMR, fat mass, and body mass index explained 15% (p < .001) of variance in MCS. CONCLUSION: In women, the relationship between RMR and HRQOL is moderated by age and body composition. Understanding these pathways will allow clinicians and researchers to direct interventions more effectively.

Relationship between anxiety and quality of life among older adults with self-reported polypharmacy in long-term care: A cross-sectional study.

AIMS: To investigate the relationship between anxiety and quality of life among older adults with self-reported polypharmacy living in the long-term care setting. DESIGN: A cross-sectional design was used. METHODS: Between July 2021 and August 2022, 92 older adults living in long-term care completed an anonymous one-time questionnaire packet. Polypharmacy was measured as self-reported five or more medications daily. Anxiety was measured using the Geriatric Anxiety Scale-Long Term Care tool. Quality of life was measured as health-related quality of life using two global questions from the RAND-36 and as medication-related quality of life using the Medication-Related Quality of Life Scale. RESULTS: The prevalence of polypharmacy was 89%. Among participants with polypharmacy, average age was 80.1 ± 7.9 years. The majority were female (70%) and white (85%). There was a moderate-to-strong correlation between anxiety and quality of life. Specifically, anxiety was negatively related to current health-related quality of life, perceived change in health-related quality of life and medication-related quality of life. Overall, anxiety explained 27-31% of the variance in both health-related and medication-related quality of life. CONCLUSION: The results of this study indicate that as anxiety increases, health-related and medication-related quality of life decreases in older adults living in long-term care who report consuming five or more medications daily. Advanced practice nurses can use these findings to guide practice, tailor interventions and improve care for these long-term care residents. IMPLICATIONS: Multiple medications are increasingly prescribed to treat multiple comorbidities in older adults. As a result, the prevalence of polypharmacy (≥5 medications per day) is rising and problematic. The main findings of this study highlight the negative relationship between anxiety and quality of life in this population and the need for adequate assessment of anxiety by advanced practice nurses in order to personalize care. REPORTING METHOD: In preparing the manuscript, the authors have adhered to relevant EQUATOR guidelines and the STROBE checklist for cross-sectional studies. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution outside of participation in the actual study for purposes of data collection.

Parental vaccine hesitancy and concerns regarding the COVID-19 virus.

PURPOSE: This study assessed parental vaccine hesitancy in a metropolitan area of the United States. The study aimed to determine what characteristics and contributing factors influenced parental vaccine hesitancy and concerns regarding COVID-19. DESIGN AND METHODS: An online survey was used to recruit 93 parents to answer demographic and vaccine hesitancy information. Vaccine hesitancy was measured using the Parent Attitudes about Childhood Vaccines survey. The study was conducted between June 2020 and September 2020 during the COVID-19 pandemic. RESULTS: The rate of vaccine hesitancy was 15%. One hundred percent of vaccine hesitant parents were mothers, at least 30 years of age, married, and had completed at least some college. When characteristics of vaccine hesitant parents were compared to non-hesitant parents, the hesitant parents reported having more children, with 93% reporting two or more children compared to only 74% of non-hesitant parents (p = 0.046). Fifty percent of hesitant parents reported no concerns regarding COVID-19 compared to only 20% of non-hesitant parents (p = 0.006), and significantly less hesitant parents reported willingness to have their children receive a safe, effective COVID-19 vaccine if it were available compared to non-hesitant parents (p < 0.001). CONCLUSIONS: Our findings indicate that older mothers with two or more children are more likely to be vaccine hesitant and this hesitancy extends to the current COVID-19 pandemic. PRACTICE IMPLICATIONS: Healthcare providers can use the results of this study to identify parents at risk for vaccine hesitancy and initiate individualized education to promote on-time childhood vaccination.

Validity of a Single Activity Question for Clinical Assessment of Older Women.

Physical activity is an important part of clinical assessment. However, objective measurement can be expensive and burdensome. The current study validated a single activity question for use in clinical assessment. Ninety-seven older women (mean age = 73.7 years, SE = 0.7) completed an activity questionnaire and measurement of anthropometrics, body composition, and strength. Activity level was reported as not active, somewhat active, active, and very active. Activity level was significantly related to hours of light, moderate, and vigorous activity; body mass index (BMI); waist circumference; percent fat and lean mass; and strength (p < 0.05). When activity levels were collapsed into two groups (not active + somewhat active, and active + very active), women in the high activity group (n = 48) were significantly (p < 0.05) more active, had healthier BMI and waist circumference values, less fat and more lean mass, and were stronger than women in the low activity group (n = 49). A single activity question is valid for use in clinical assessment. [Journal of Gerontological Nursing, 46(12), 15-22.].

Physical activity-related quality of life in breast cancer survivors compared to healthy women.

OBJECTIVE: To evaluate physical activity-related quality of life (PAQOL) in breast cancer survivors compared to healthy women. METHODS: Physical activity level was measured as not active, somewhat active, active or very active. Intensity was reported as hours per week of light, moderate and vigorous activity. Physical activity-related quality of life was measured with the Vitality Plus Scale, a self-report instrument developed and validated to measure exercise-related health benefits. RESULTS: Compared to healthy women (n = 23), breast cancer survivors (n = 23) were older (57.0 ± 2.3 vs. 49.0 ± 1.1 years; p < .01) and reported more light activity (4.1 ± 0.6 vs. 2.4 ± 0.5 hr/week; p < .05), but no differences in PAQOL. However, when grouped by physical activity level there were no differences in age, but inactive women (n = 30) had higher body mass index (29.3 ± 1.0 vs. 25.1 ± 1.1 kg/m2 ; p < .05) and reported less moderate (1.3 ± 0.4 vs. 3.6 ± 0.8 hr/week; p < .05) and vigorous (0.2 ± 0.1 vs. 1.9 ± 0.5 hr/week; p < .01) activity than active women (n = 16). Furthermore, active women reported higher overall PAQOL, greater energy levels and quicker sleep onset than inactive women (p < .05). CONCLUSIONS: In these women, moderate and vigorous physical activity and PAQOL were not influenced by breast cancer survivorship. Despite diagnosis, active women who engaged in greater amounts of moderate and vigorous activity reported better PAQOL than inactive women.

Lean mass influences overnight changes in hydration, blood pressure and strength in community-dwelling older women.

We evaluated the hypothesis that greater lean mass promotes better overnight hydration, improved postural blood pressure and greater strength. Thirty women, aged 71 ± 0.9 years (mean ± SE), completed one measurement in a euhydrated state and another the following morning after an overnight fast. Measurements included hydration, lean mass, orthostatic blood pressure and strength. Participants were grouped by fat-free mass index (FFMI), with cut-points defined as low (< 15.0 kg/m(2)) and normal (≥ 15.0 kg/m(2)). Women with normal FFMI had significantly greater hydration (p < 0.01), lean mass (p < 0.001) and upper body strength (p < 0.05), while those with low FFMI had more unstable blood pressure. On day 1, women with low FFMI experienced significant postural systolic blood pressure changes from sitting to standing (-11.3 ± 4.0 mmHg, p < 0.05). On day 2, they experienced significant systolic changes from lying to sitting (-8.0 ± 2.2 mmHg, p < 0.01) and sitting to standing (-14.9 ± 5.5 mmHg, p < 0.05), and diastolic changes from lying to sitting (-8.9 ± 2.8 mmHg, p < 0.05). In conclusion, overnight fluid shifts in older women with low lean mass result in unstable postural blood pressure and loss of strength that increases the risk for early morning falls.

Effect of Training Status on Oxygen Consumption in Women After Resistance Exercise.

This study compared acute postexercise oxygen consumption in 11 trained women (age, 46.5 ± 1.6 years; body mass index [BMI], 28.4 ± 1.7 kg·m(-2) and 11 untrained women (age, 46.5 ± 1.5 years; BMI, 27.5 ± 1.5 kg·m(-2)) after resistance exercise (RE). Resistance exercise consisted of 3 sets of 8 exercises (8-12 repetitions at 50-80% 1 repetition maximum). Oxygen consumption (VO2 ml·min(-1)) was measured before and after (0, 20, 40, 60, 90, and 120 minutes) RE. Immediately after cessation of RE (time 0), oxygen consumption increased in both trained and untrained women and remained significantly above baseline through 60 minutes after exercise (p < 0.01). Total oxygen consumption during recovery was 31.3 L in trained women and 27.4 L in untrained women (p = 0.07). In trained women, total oxygen consumption was strongly related to absolute (kg) lean mass (r = 0.88; p < 0.001), relative (kilogram per square meter) lean mass (r = 0.91; p < 0.001), and duration of exercise (r = 0.68; p ≤ 0.05), but in untrained women, only training volume-load was related to total oxygen consumption (r = 0.67; p ≤ 0.05). In trained women, 86% of the variance in oxygen consumption was explained by lean mass and exercise duration, whereas volume-load explained 45% in untrained women. Our findings suggest that, in women, resistance training increases metabolic activity of lean tissue. Postexercise energy costs of RE are determined by the duration of stimulation provided by RE rather than absolute work (volume-load) performed. This phenomenon may be related to type II muscle fibers and increased protein synthesis.

Change in quality of life among breast cancer survivors after resistance training: is there an effect of age?

To evaluate the effect of age on quality of life (QOL) in breast cancer survivors after resistance training, 20 women were assigned to 1 of 2 groups based on age (YRT 40-59 yr, ORT 60-80 yr). Both groups completed 3 sets of 8 exercises twice a week for 8 wk. Measurements were obtained before and after the training program. QOL was measured using the Body Image and Relationship Scale (BIRS). Both groups improved in chest press (p < .001), leg press (p < .001), arm curls (p < .05), and chair stands (p < .001). For QOL, YRT reported greater improvements compared with ORT in BIRS total score (Group × Time interaction, p = .002) and strength and health subscale score (Group × Time interaction, p = .001), and greater age was related to greater perceived impairment (BIRS total: r = .61, p = .004; strength and health subscale: r = .69, p = .001). Despite significant improvements in strength and function, older women perceived relatively little improvement in QOL compared with younger women, and age had a differential negative influence on improvements in QOL.

Effect of training status on reliability of one repetition maximum testing in women.

In untrained adults, multiple trials of maximal strength testing are necessary to obtain reliable measures. Training status may positively influence test-retest reliability and increase testing efficiency. The purpose of this study was to evaluate the effect of training status on differences between trials of 1 repetition maximum (1RM) measurement in women. Before (untrained women [UTW]) and after (trained women [TRW]) an 8-week resistance training program, 10 women (45.6 ± 1.4 years; body mass index 28.7 ± 1.6 kg·m) completed 3 trials of 1RM chest and leg press with at least 24 hours rest between trials. In UTW, differences between chest press trials were nonsignificant (trials 1-2: 2.36 ± 1.39 kg, p = 0.37; trials 2-3: 0.82 ± 0.77 kg, p = 0.95; trials 1-3: 3.18 ± 0.16 kg, p = 0.07), although a significant difference between leg press trials 1-3 was observed (trials 1-2: 6.55 ± 3.31 kg, p = 0.25; trials 2-3: 2.52 ± 1.1 kg, p = 0.15; trials 1-3: 9.07 ± 2.83 kg, p = 0.04). In TRW, differences between all 1RM trials were nonsignificant for both the chest press (trials 1-2: -0.65 ± 2.11 kg, p = 1.0; trials 2-3: 1.62 ± 0.69 kg, p = 0.15; trials 1-3: 0.96 ± 2.07 kg, p = 1.0) and leg press (trials 1-2: -1.51 ± 2.13 kg, p = 1.0; trials 2-3: 3.53 ± 3.0 kg, p = 0.82; trials 1-3: 2.01 ± 3.87 kg, p = 1.0). Our results suggest that training status has a positive influence on the efficiency of maximal strength measurement. For trained middle-aged women, a single trial of 1RM chest or leg press may be sufficient to obtain an accurate and reliable measure of maximal strength.

Personal health behaviors and physical activity and nutrition counseling by nurse practitioners: An online survey.

BACKGROUND: Healthy lifestyle counseling improves nutritional intake and participation in exercise, yet the rate of patient counseling varies and clinicians' personal behaviors can influence counseling practices. PURPOSE: This cross-sectional study evaluated lifestyle counseling by nurse practitioners (NPs) and the relationship between their personal behaviors and patient counseling. METHODOLOGY: Practicing NPs ( N = 1,220) completed an online survey regarding personal behaviors and counseling for healthy body weight, moderate-vigorous physical activity, muscle strengthening, fruit and vegetable consumption, and dietary protein. RESULTS: The majority reported counseling "usually" or "often" for healthy weight (54%), moderate-vigorous physical activity (53%), and fruits/vegetables (57%), whereas only 44% and 17% reported "usually" or "often" counseling for dietary protein and muscle strengthening. When NPs did not personally engage in the behavior, the odds for counseling were significantly reduced: NPs were 21% less likely to counsel for moderate-vigorous physical activity (odds ratio [OR] = 0.79 [0.65-0.97], p = .026), 27% less likely to counsel for muscle strengthening (OR = 0.73 [0.60-0.90], p = .004), 57% less likely to counsel for fruit/vegetable consumption (OR = 0.43 [0.35-0.54], p < .001), and 72% less likely to counsel for dietary protein (OR = 0.28 [0.18-0.45], p < .001). Personal body mass index did not predict counseling for a healthy weight. CONCLUSION: Although NPs report regular patient counseling regarding healthy lifestyle behaviors, the odds for counseling are increased approximately 20-75% when they engage in the behaviors themselves. IMPLICATIONS: Promotion of healthy behaviors during professional education may have long-term implications for preventive health counseling.

Quality of life and perceived educational needs among older cancer survivors.

The purpose of this study was to evaluate perceived educational needs regarding nutrition and exercise in older cancer survivors. One hundred ninety survivors, age 70.7 (7.5), completed a Survey of Needs developed from the City of Hope Quality of Life model. Fifty percent reported distress related to poor appetite, 60% reported distress related to weight change, 64% reported distress related to balance/walking/mobility difficulty, and 79% reported distress related to fatigue. Weight change, poor appetite, balance/walking/mobility difficulty, and fatigue were significantly associated with distress related to (a) managing household activities, (b) caring for family, (c) maintaining a sense of well-being, (d) coping with grief and loss, and (e) managing stress. Despite distress associated with weight change, poor appetite, mobility difficulty, and fatigue, respondents did not recognize a need for education regarding nutrition and exercise. Findings suggest that evaluating older survivors' perceptions of needs may be necessary prior to designing interventions for care.

Improvements in quality of life in women after resistance training are not associated with age.

Twenty-three women completed a resistance training program three or four days per week. At baseline and after eight weeks they completed the Vitality Plus Scale measuring exercise-related changes in quality of life. Greater scores indicated better quality of life. Significant improvements in quality of life (p < .001), upper body strength (p < .001), and lower body strength (p < .001) were observed despite training frequency. Age was not associated with quality of life or strength either pre- or posttraining. Resistance exercise three days a week improved quality of life in women, and these improvements were not influenced by age.

Comparison of Lean Mass in Women With and Without Heart Disease.

PURPOSE: This proof-of-concept study compared lean mass (LM) between women with heart disease (HD) and without HD. METHODS: Fifty-six community-dwelling women were pair-matched by age. Heart disease was defined using criteria from the US Behavioral Risk Factor Surveillance System. Body composition was measured using multifrequency bioelectrical impedance analysis. Relative LM was calculated against height (kg/m2) as the lean mass index (LMI). Sarcopenia was defined as an LMI <15.0 kg/m2. Strength was measured with a handgrip dynamometer, arm curl test, and chair stand test. RESULTS: Those with HD had significantly less absolute (38.2 ± 0.8 vs 43.5 ± 1.0 kg; P < .001) and relative (15.3 ± 0.3 vs 16.2 ± 0.3 kg/m2, P = .015) LM compared with those without HD. Body mass was significantly greater for those without HD (76.1 ± 2.1 vs 68.4 ± 2.1 kg; P = .013) and there were no differences in fat mass. Upper body strength was significantly less and lower body strength was diminished but not significantly different in those with HD compared to those without HD (handgrip: P = .016; arm curl: P < .001; chair stand: P = .066). CONCLUSIONS: In this group of community-dwelling women, those who reported a diagnosis of HD had significantly less LM than those without HD. Although neither group was classified as sarcopenic, women with HD were at greater risk due to lower relative LM. Based on our findings, during cardiac rehabilitation clinicians should counsel women regarding resistance exercise for maintenance of LM in addition to strength.

Validity and reliability of handgrip dynamometry in older adults: A comparison of two widely used dynamometers.

BACKGROUND: Among older adults, decreased handgrip strength is associated with greater risk of frailty, and loss of physical function, mobility, lean mass, and overall muscular strength and power. Frailty is also associated with sarcopenia, for which handgrip strength measurement has been recommended for diagnostic purposes. Specific cutoff points for diagnosis have been identified, but use of different devices may affect measurement. Therefore to assess validity and reliability, we compared the two most frequently used devices, the Jamar hydraulic and Smedley spring handgrip dynamometers. METHODS: Sixty-seven older (76.2 ± 0.9 years) men (n = 34) and women (n = 33) completed two trials of handgrip strength measurement on sequential days (T1, T2) using both devices in random order. Intraclass correlations were used to assess test-retest reliability, and Bland-Altman analysis was used to assess validity as the level of agreement between devices. RESULTS: There were significant (p < 0.001) relationships between devices at T1 (r = 0.94) and T2 (r = 0.94) and strong (p < 0.001) intraclass correlations were observed for both devices (Jamar = 0.98; Smedley = 0.96), indicating excellent reliability. However, there were significant differences between devices. Strength measured with Jamar was greater than Smedley at both T1 (27.4 ± 1.4 vs. 23.4 ± 1.1 kg, p < 0.001) and T2 (25.3 ± 1.4 vs. 21.8 ± 1.2 kg, p < 0.001). Bland-Altman analysis confirmed these differences. Subgroup analysis to evaluate the effect of gender and age indicated that in women and old-old (>75 years) participants, differences between devices were closer to zero for both measurements compared to men and young-old (65-75 years) participants. CONCLUSIONS: Our results demonstrate that despite excellent reliability, there is poor agreement between devices, indicating a lack of validity. For use as a diagnostic tool, standardization and device-specific cutoff points for handgrip dynamometry are needed.

Short-term effects of resistance training frequency on body composition and strength in middle-aged women.

Although a dose-response relationship between resistance training frequency and strength has been identified, there is limited research regarding the association between frequency and body composition. This study evaluated the effects of 3 vs. 4 d·wk(-1) of resistance training on body composition and strength in middle-aged women. Twenty-one untrained women (age 47.6 ± 1.2 years) completed 8 weeks of resistance training either 3 nonconsecutive days of the week using a traditional total-body protocol (RT3) or 4 consecutive days of the week using an alternating split-training protocol (RT4). The RT3 completed 3 sets of 8 exercises, whereas RT4 completed 3 sets of 6 upper body exercises or 6 sets of 3 lower body exercises. Both groups completed 72 sets per week of 8-12 repetitions at 50-80% 1 repetition maximum. Weekly training volume load was calculated as the total number of repetitions × load (kg) completed per week. Body composition was measured using air displacement plethysmography. At baseline and after 8 weeks of resistance training, there were no significant between-group differences. Both protocols resulted in significant increases in absolute lean mass (1.1 ± 0.3 kg; p = 0.001), body weight (1.02 ± 0.3 kg; p = 0.005), body mass index (0.3 ± 0.1 kg·m(-2); p = 0.006), strength (p < 0.001), and weekly training volume load (p < 0.001). Correlation analysis revealed that weekly training volume load was strongly and positively related to gains in lean mass (r = 0.56, p = 0.05) and strength (r = 0.60, p = 0.006). In these untrained, middle-aged women, initial short-term gains in lean mass and strength were not influenced by training frequency when the number of training sets per week was equated.

Comparison of body composition measurement with whole body multifrequency bioelectrical impedance and air displacement plethysmography in healthy middle-aged women.

Our purpose was to evaluate accuracy of multifrequency bioelectrical impedance analysis (MFBIA) using air displacement plethysmography (ADP) as the criterion measure. Body composition of 27 women was assessed by ADP followed immediately by MFBIA. There was a strong relationship (p = .01) between ADP and MFBIA in absolute lean mass (r = 0.80), absolute fat mass (r = 0.99), percent lean mass (r = 0.91), and percent fat mass (r = 0.91). Although MFBIA consistently overestimated lean mass and underestimated fat mass compared with ADP, agreement between measurements was within 2%-3% body fat. An accurate assessment tool, MFBIA can be useful in clinical settings.