Thirty-three college women (mean age = 21.8 years) participated in a 5 d X wk-1, 12 week training program. Subjects were randomly assigned to 3 groups, above lactate threshold (greater than LT) (N = 11; trained at 69 watts above the workload associated with LT), = LT (N = 12; trained at the work load associated with LT) and control (C) (N = 10). Subjects were assessed for VO2max, VO2LT, VO2LT/VO2max, before and after training, using a discontinuous 3 min incremental (starting at 0 watts increasing 34 watts each work load) protocol on a cycle ergometer (Monark). Respiratory gas exchange measures were determined using standard open circuit spirometry while LT was determined from blood samples taken immediately following each work load from an indwelling venous catheter located in the back of a heated hand. Body composition parameters were determined before and after training via hydrostatic weighing. Training work loads were equated so that each subject expended approximately 1465 kJ per training session (Monark cycle ergometer) regardless of training intensity. Pretraining, no significant differences existed between groups for any variable. Post training the greater than LT group had significantly higher VO2max (13%), VO2LT (47%) and VO2LT/VO2max (33%) values as compared to C (p less than .05). Within group comparisons revealed that none of the groups significantly changed VO2max as a result of training, only the greater than LT group showed a significant increase in VO2LT (48%) (p less than .05), while both the = LT and greater than LT group showed significant increases in VO2LT/VO2max (= LT 16%, greater than LT 42% (p less than .05)).(ABSTRACT TRUNCATED AT 250 WORDS)

Fifteen competitive cyclists and 15 subjects not involved in competitive cycling were studied to determine the relationship between VO2max, lactate threshold (LT), fixed blood lactate concentrations, body composition parameters, and maximal effort bicycle ergometer performance. The subjects were assessed for VO2max, LT, VOLT, and VO2 associated with blood lactate concentrations of 3, 4, 5, and 6 mM/l (VO2 3 mM-VO2 6 mM/l), using an incremental protocol on the bicycle ergometer. Body composition was determined by underwater weighing. Subjects also completed two 10-min drop-off performance tests (starting at 70 rpm) at the same absolute power output (4.5 kg resistance, 1890 kgm/min) (ABS) and at the same relative power output (the highest power output completed for 3 min on the VO2max test) (REL). Metabolic measures and revolution scores were collected on a minute-by-minute basis during the performance tests. The results indicated that the competitive cyclists had higher VO2max (4.25 +/- 0.39 vs 3.50 +/- 0.54 l/min); VO2 LT (2.91 +/- 0.55 vs 1.66 +/- 0.49 l/min); VO2 3 mM, VO2 4 mM, VO2 5 mM, VO2 6 mM, VO2 LT/VO2max (68.5 +/- 11.2 vs 47.2 +/- 10.9 %); max resistance (5.70 +/- 0.56 vs 4.63 +/- 0.67 kg); and resistance at LT (3.57 +/- 0.70 vs 1.93 +/- 0.68 kg) as compared to the noncompetitive subjects (P less than 0.05). Correlational analysis revealed poor prediction between metabolic measures and the homogeneous cumulative rpm scores during the REL test.2+ subjects (r = 0.60 to 0.90).(ABSTRACT TRUNCATED AT 250 WORDS)

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BackgroundThe COVID-19 pandemic disrupted general practice worldwide, primarily due to public health measures that restricted access to care for chronic diseases, such as type 2 diabetes. These measures disproportionately affected higher risk groups with type 2 diabetes, such as older people and those with obesity. This study aims to identify factors that may have influenced the rates of compliance with testing guidelines and target glycaemic control in Australian general practice settings during the COVID-19 pandemic.MethodsWe used a serial cross-sectional study design of patient record data from general practices representative of the Nepean Blue Mountains Local Health District between 2020 and 2022. Aggregated patient records were analysed to determine percentages of subgroups with a blood glycaemic testing interval consistent with guidelines (≥1 within 15 months) and achieving target glycaemic control (by glycated haemoglobin of ≤7%). Linear regression models were used to test the association between independent and dependent variables, and to generate regression coefficients and 95% CI, corrected for time trends.ResultsOf the average 14 356 patient records per month, 55% were male, 53% had a body mass index (BMI) <30 and 55% were aged 55–74 years. Compliance to testing guidelines slightly decreased (75–73%) but was positively associated with male sex (2.5%, 95% CI 1.7%, 3.4%), BMI≥30 (9.6%, 95% CI 8.8%, 10.4%) and 55–74 years (7.5%, 95% CI 6.6%, 8.5%) and 75 years and over age groups (7.1%, 95% CI 6.2%, 7.9%). Mean percentage of patient records achieving target glycaemic control slightly increased and was negatively associated with male sex (−3.7%, 95% CI −5.2%, –2.2%), but positively associated with 55–74 years (4.5%, 95% CI 3.8%, 5.1%) and 75 years and over age groups (12.2%, 95% CI 4.5%, 20.0%). Compliance to testing guidelines increased with each additional general practice per 10 000 persons (8.4%, 95% CI 4.9%, 11.8%).ConclusionsDuring the COVID-19 pandemic, people with type 2 diabetes in Australia continued to follow glycaemic testing guidelines at the same rate. In fact, there was a slight improvement in glycaemic control among all subgroups of patients, including those at higher risk. These findings are encouraging, but the longer term impact of COVID-19 on type 2 diabetes care is still unclear.