Psychosomatic medicine · 2022
Momentary Partner Involvement in Diabetes Self-Care and Continuously Measured Glucose: A Dynamic Analysis.
СтатьяПоддержка NIH: внешняя программаНазвание и аннотация: Перевод пока не подготовлен
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Soriano Emily C, Lenhard M James, Gonzalez Jeffrey S, Tennen Howard, Otto Amy K, Perndorfer Christine, Shen Biing-Jiun, Siegel Scott D, Laurenceau Jean-Philippe
Аннотация
OBJECTIVE: This study examined the dynamic, real-time associations between partner involvement in diabetes self-care and continuous glucose monitor (CGM) metrics in adults with type 2 diabetes.
METHODS: For 1 week, 63 participants wore Dexcom G4 CGMs and provided momentary reports of partner involvement in diabetes self-care five times per day. Dynamic structural equation models were used to estimate the reciprocal lagged effects of partner involvement on next-hour CGM metrics (and vice versa).
RESULTS: Partner involvement predicted improved next-hour glucose control for five of six CGM metrics in analyses adjusted for time-varying covariates. The hour after partner involvement, the model predicted a 26.34 mg/dl decrease in glucose level (standardized β = -0.19), 30% greater odds of meeting target time in target range ( β = 0.07), 48% higher odds of target time below target range (TBR; β = 0.04; the only nonsignificant effect), 47% greater odds of target time above target range (β = 0.11), a 4.20 unit decrease in glucose standard deviation ( β = -0.19), and a 0.01 unit decrease in glucose coefficient of variation ( β = -0.08; all p values < .05). There was less consistent support for the reverse pathway, with only two metrics significantly related to next-hour partner involvement: glucose level ( β = 0.15) and TBR ( β = 0.21), such that having higher levels and meeting target TBR were significantly predictive of next-hour partner involvement.
CONCLUSIONS: This is the first study showing that partner involvement in daily diabetes management predicts short-term glucose control. More research is needed to understand how partners influence glycemic control and evaluate interventions that promote their involvement in diabetes care.
METHODS: For 1 week, 63 participants wore Dexcom G4 CGMs and provided momentary reports of partner involvement in diabetes self-care five times per day. Dynamic structural equation models were used to estimate the reciprocal lagged effects of partner involvement on next-hour CGM metrics (and vice versa).
RESULTS: Partner involvement predicted improved next-hour glucose control for five of six CGM metrics in analyses adjusted for time-varying covariates. The hour after partner involvement, the model predicted a 26.34 mg/dl decrease in glucose level (standardized β = -0.19), 30% greater odds of meeting target time in target range ( β = 0.07), 48% higher odds of target time below target range (TBR; β = 0.04; the only nonsignificant effect), 47% greater odds of target time above target range (β = 0.11), a 4.20 unit decrease in glucose standard deviation ( β = -0.19), and a 0.01 unit decrease in glucose coefficient of variation ( β = -0.08; all p values < .05). There was less consistent support for the reverse pathway, with only two metrics significantly related to next-hour partner involvement: glucose level ( β = 0.15) and TBR ( β = 0.21), such that having higher levels and meeting target TBR were significantly predictive of next-hour partner involvement.
CONCLUSIONS: This is the first study showing that partner involvement in daily diabetes management predicts short-term glucose control. More research is needed to understand how partners influence glycemic control and evaluate interventions that promote their involvement in diabetes care.