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1.
Diabetes Care ; 45(1): 74-82, 2022 01 01.
Artigo em Inglês | MEDLINE | ID: mdl-34753805

RESUMO

OBJECTIVE: To evaluate changes in the prevalence of depressive symptoms, loneliness, and insomnia among older adults with type 2 diabetes from 2016 to 2020 and to assess risk factors for these conditions including demographics, multimorbidity, BMI, treatment group, and pre-coronavirus 2019 (COVID-19) measure scores. RESEARCH DESIGN AND METHODS: This was a prospective, observational study of participants from the Look AHEAD (Action for Health in Diabetes) cohort study. Data were from two assessments before COVID-19 (visit 1: April 2016-June 2018 and visit 2: February 2018-February 2020) and one assessment during COVID-19 (visit 3: July-December 2020). Surveys were administered to assess depressive symptoms, loneliness, and insomnia. RESULTS: The study included 2829 adults (63.2% female, 60.6% White, mean [SD] age 75.6 [6.0] years). The prevalence of mild or greater depressive symptoms did not change significantly between the two pre-pandemic visits (P = 0.88) but increased significantly from pre- to during COVID-19 (19.3% at V2 to 30.4% at V3; P < 0.001). Higher odds of mild or greater depressive symptoms at V3 were associated with being female (adjusted odds ratio [OR] 1.4 [95% CI 1.1-1.7]), identifying as non-Hispanic White (OR 1.4 [95% CI 1.1-1.7]), having obesity (OR 1.3 [95% CI 1.0-1.5]), and reporting mild or greater depressive symptoms at V1 (OR 4.0 [95% CI 2.9-5.4]), V2 (OR 4.4 [95% CI 3.2-5.9]), or both visits (OR 13.4 [95% CI 9.7-18.4]). The prevalence of loneliness increased from 12.3% at V1 to 22.1% at V3 (P < 0.001), while the prevalence of insomnia remained stable across visits at 31.5-33.3%. CONCLUSIONS: The prevalence of mild or greater depressive symptoms in older adults with diabetes was more than 1.6 times higher during COVID-19 than before the pandemic.


Assuntos
COVID-19 , Diabetes Mellitus Tipo 2 , Distúrbios do Início e da Manutenção do Sono , Idoso , Estudos de Coortes , Depressão/epidemiologia , Diabetes Mellitus Tipo 2/epidemiologia , Feminino , Humanos , Solidão , Masculino , Pandemias , Prevalência , Estudos Prospectivos , SARS-CoV-2 , Distúrbios do Início e da Manutenção do Sono/epidemiologia
2.
Behav Med ; 46(2): 87-91, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-30657439

RESUMO

Obesity is a complex disease caused by a wide array of behavioral, biological, and environmental factors. However, obesity is often attributed to oversimplified and stigmatizing causal factors such as laziness, lack of willpower, and failure to take personal responsibility for one's health. Understanding of the causal factors that contribute to obesity among people with obesity may affect their weight management efforts. The current study explored associations between causal attributions for obesity and long-term weight loss, as well as examined potential changes in attributions with weight reduction. The 16-item Causal Attributions for Obesity scale (rated 1-7) was administered to 178 patients seeking behavioral/pharmacological weight-loss treatment. Causal attributions and weight were assessed at baseline, after 14 weeks of a low-calorie diet, and again at weeks 24 and 52 of a subsequent randomized trial (i.e., 66 weeks total). Logistic and linear regression examined effects of baseline causal attribution ratings on weight loss. Higher baseline ratings of personal responsibility attributions predicted 38% reduced odds of achieving ≥10% weight loss at week 52 (p = 0.02). Causal attribution ratings did not change over time or correlate continuously with weight change. Thus, attributing obesity to a failure of personal responsibility may impair long-term weight management efforts for individuals seeking ≥10% weight loss. Targeted techniques are needed to reduce patients' stigmatizing beliefs about the causes of obesity.


Assuntos
Atitude Frente a Saúde , Manejo da Obesidade , Obesidade/psicologia , Redução de Peso , Adulto , Causalidade , Dieta Redutora , Feminino , Humanos , Modelos Lineares , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Obesidade/terapia , Estigma Social
3.
Ann Behav Med ; 53(8): 782-787, 2019 07 17.
Artigo em Inglês | MEDLINE | ID: mdl-30304382

RESUMO

BACKGROUND: The relationship between weight bias internalization (WBI) and long-term weight loss is largely unknown. PURPOSE: To determine the effects of weight loss on WBI and assess whether WBI impairs long-term weight loss. METHODS: One hundred thirty-three adults with obesity completed the Weight Bias Internalization Scale (WBIS) at baseline, after a 14-week lifestyle intervention in which they lost ≥5 per cent of initial weight, and at weeks 24 and 52 of a subsequent randomized controlled trial (RCT) for weight-loss maintenance (66 weeks total). Linear mixed models were used to examine the effects of weight loss on WBIS scores and the effects of baseline WBIS scores on weight change over time. Logistic regression was used to determine the effects of baseline WBIS scores on achieving ≥5 and ≥10 per cent weight loss. RESULTS: Changes in weight did not predict changes in WBIS scores. Baseline WBIS scores predicted reduced odds of achieving ≥5 and ≥10 per cent weight loss at week 24 of the RCT (p values < .05). At week 52, the interaction between participant race and WBIS scores predicted weight loss (p = .046) such that nonblack (but not black) participants with higher baseline WBIS scores had lower odds of achieving ≥10 per cent weight loss (OR = 0.38, p = .01). Baseline WBIS scores did not significantly predict rate of weight change over time. CONCLUSIONS: Among participants in a weight loss maintenance trial, WBI did not change in relation to changes in weight. More research is needed to clarify the effects of WBI on long-term weight loss and maintenance across race/ethnicity. CLINICAL TRIALS REGISTRATION: ClinicalTrials.gov identifier NCT02388568.


Assuntos
Controle Interno-Externo , Obesidade/psicologia , Redução de Peso , Imagem Corporal/psicologia , Índice de Massa Corporal , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Ensaios Clínicos Controlados Aleatórios como Assunto/estatística & dados numéricos , Autoimagem , Estigma Social , Fatores de Tempo
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