“…“Eating alone” as a risk factor for men’s very poor QoL also points to the importance of normalizing social relationships and increasing social contact. Spending mealtimes alone can indicate low social participation and limited networks among the elderly [ 46 ], particularly for men [ 38 ], and social exclusion has been found to be correlated with poorer QoL among psychiatric patients [ 47 ]. Again, the social well-being needs of SUD patients may not be so different from other chronic disease sufferers or from the non-clinical population.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, dichotomous sociodemographic independent variables included civil status (“single” or “married/partnered”), Norwegian-born, unemployed, educational attainment of primary school or less, and having at least one child. “With whom do you eat most of your meals?” was used as a proxy for social contact [ 38 , 39 ], and dichotomized into “alone” or, if patients selected friends, families, or others, “with others”.…”
BackgroundQuality of life (QoL) is an important measure and outcome within chronic disease management and treatment, including substance use disorders (SUD). The aim of this paper was to investigate correlates of poorer QoL of individuals entering SUD treatment in Norway, in order to identify subgroups that may most benefit from different interventions.MethodsTwenty-one treatment facilities invited all incoming patients to participate. Five hundred forty-nine patients who enrolled between December 2012 and April 2015 are analyzed. QoL, substance use, mental and physical comorbidities, and exercise behaviors were measured. Multinomial regression analysis was used to determine variables significantly associated with poorer QoL.ResultsThe majority of both genders (75 %) reported “poor” or “very poor” QoL at intake. Depression showed a strong association with poor QoL (relative risk ratio [RRR] 3.3, 95 % confidence interval [CI] 1.0–10.3) and very poor QoL (RRR 3.8, 1.2–11.8) among women. Physical inactivity among men was associated with very poor QoL (RRR 2.0, 1.1–3.7), as was reporting eating most meals alone (RRR 2.6, 1.4–4.8). Evaluating one’s weight as too low was also associated with poor QoL (RRR 2.0, 1.0-3.9) and very poor QoL (RRR 2.0, 1.1–3.7) among men. Consuming methadone/buprenorphine was a protective factor for men reporting poor QoL (RRR 0.5, 0.3–0.9) and very poor QoL (RRR 0.4, 0.2–0.9), as well as for women reporting very poor QoL (RRR 0.2, 0.0–0.6).ConclusionsFactors associated with poorer QoL among other healthy and clinical populations, such as impaired social and physical well-being and psychological distress, were also seen associated in this sample. Treatment should be targeted towards patients with these particular vulnerabilities in addition to focusing on substance-related factors, and interventions proven to improve the QoL of other populations with these vulnerabilities should be explored in a SUD context.
“…“Eating alone” as a risk factor for men’s very poor QoL also points to the importance of normalizing social relationships and increasing social contact. Spending mealtimes alone can indicate low social participation and limited networks among the elderly [ 46 ], particularly for men [ 38 ], and social exclusion has been found to be correlated with poorer QoL among psychiatric patients [ 47 ]. Again, the social well-being needs of SUD patients may not be so different from other chronic disease sufferers or from the non-clinical population.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, dichotomous sociodemographic independent variables included civil status (“single” or “married/partnered”), Norwegian-born, unemployed, educational attainment of primary school or less, and having at least one child. “With whom do you eat most of your meals?” was used as a proxy for social contact [ 38 , 39 ], and dichotomized into “alone” or, if patients selected friends, families, or others, “with others”.…”
BackgroundQuality of life (QoL) is an important measure and outcome within chronic disease management and treatment, including substance use disorders (SUD). The aim of this paper was to investigate correlates of poorer QoL of individuals entering SUD treatment in Norway, in order to identify subgroups that may most benefit from different interventions.MethodsTwenty-one treatment facilities invited all incoming patients to participate. Five hundred forty-nine patients who enrolled between December 2012 and April 2015 are analyzed. QoL, substance use, mental and physical comorbidities, and exercise behaviors were measured. Multinomial regression analysis was used to determine variables significantly associated with poorer QoL.ResultsThe majority of both genders (75 %) reported “poor” or “very poor” QoL at intake. Depression showed a strong association with poor QoL (relative risk ratio [RRR] 3.3, 95 % confidence interval [CI] 1.0–10.3) and very poor QoL (RRR 3.8, 1.2–11.8) among women. Physical inactivity among men was associated with very poor QoL (RRR 2.0, 1.1–3.7), as was reporting eating most meals alone (RRR 2.6, 1.4–4.8). Evaluating one’s weight as too low was also associated with poor QoL (RRR 2.0, 1.0-3.9) and very poor QoL (RRR 2.0, 1.1–3.7) among men. Consuming methadone/buprenorphine was a protective factor for men reporting poor QoL (RRR 0.5, 0.3–0.9) and very poor QoL (RRR 0.4, 0.2–0.9), as well as for women reporting very poor QoL (RRR 0.2, 0.0–0.6).ConclusionsFactors associated with poorer QoL among other healthy and clinical populations, such as impaired social and physical well-being and psychological distress, were also seen associated in this sample. Treatment should be targeted towards patients with these particular vulnerabilities in addition to focusing on substance-related factors, and interventions proven to improve the QoL of other populations with these vulnerabilities should be explored in a SUD context.
“…Among women, emotional and informational support increased these intakes. By contrast, women have healthier diets when they cook for themselves 29 . This supports cooking as associated with more benefits for women and that eating with others is crucial for men.…”
Section: Discussionmentioning
confidence: 99%
“…These might be on account of women tending to exhibit more health-seeking behavior 26 , 27 , higher apparent morbidity, and a higher use of health care services 28 than men. For example, the consumption of fruits and vegetables in older people is affected by different social support forms between genders 29 . However, few tools screen for nutritional risk factors according to gender.…”
Nutritional factors contributing to disability and mortality are modifiable in later life. Indices would add utility. We developed a gender-specific Healthy Ageing Nutrition Index (HANI) for all-cause mortality in free-living elderly. We stratified 1898 participants aged ≥65 y from the 1999–2000 Nutrition and Health Survey in Taiwan by region and randomly allocated them into development and validation sets. Linkage to the National Death Registry database until December 31, 2008 enabled mortality prediction using Cox proportional-hazards models. Four factors (appetite, eating with others, dietary diversity score, and BMI) with best total of 25 HANI points for men; and 3 factors (cooking frequency, dietary diversity score, and BMI) with best total of 27 HANI points for women, were developed. In the validation set, the highest HANI group exhibited a greater intake of plant-derived food and associated nutrients, a favourable quality of life, and more muscle mass, compared with the lowest group. The highest HANI group predicts mortality risk lower by 44 percent in men and 61 percent in women. Adjusted mortality HRs were comparable between sets. HANI is a simple, non-invasive, inexpensive, and potentially modifiable tool for nutrition monitoring and survival prediction for older adults, superior to its individual components.
“…Research suggests that although men tend to have less dissatisfaction with their weight and attempt weight loss less often than women, their weight loss strategies are likely to include increased exercise and reduced fat intake, while women’s strategies tend to include dieting and prescription pills (Tsai et al, 2015). Women may be more susceptible to emotional disinhibition of eating (LeBlanc et al, 2015), but are more likely than men to consume adequate amounts of fruits and vegetables on a regular basis (provided sufficient emotional and informational support; Rugel and Carpiano, 2015). These findings indicate that although proper diet and exercise practices are encouraged for all individuals (to which men respond relatively well), women may see more beneficial results from interventions that emphasize emotional support and encouragement toward meeting dietary and exercise goals.…”
The target article offers a comprehensive approach to conceptualizing psychological factors contributing to obesity. Strengths of Marks’ theory include giving body image a central focus, discussing the importance of emotional states on food reliance, and conveying avenues for interventions and treatment. Marks’ approach carefully delineates the interpersonal nature of obesity, although our work suggests that romantic partners are an especially important and understudied factor relevant to eating behaviors, body image, and obesity risk. The target article is an important step toward understanding the complex factors that contribute to obesity.
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