Assessment of frequency of self-reinforcement.

Heiby, Elaine M.

doi:10.1037/0022-3514.44.6.1304

Cited by 62 publications

(46 citation statements)

References 12 publications

(10 reference statements)

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“…Self-control measures-Multiple measures of self-control were derived from prior research [12,[19][20][21][22]. Items were administered with 5-point scales (Not at all true, a little true, somewhat true, pretty true, very true).…”

Section: Methodsmentioning

confidence: 99%

“…An item on family structure asked the participant what adult(s) he/she was currently living with (8 options, multiple responding allowed); this was recoded for analysis to three levels (single parent, blended family, or intact family). Items on education for father and mother, respectively, had a 6-point scale with anchor points grade school and post-college education (masters or doctoral degree, or other professional education).Self-control measures-Multiple measures of self-control were derived from prior research [12,[19][20][21][22]. Items were administered with 5-point scales (Not at all true, a little true, somewhat true, pretty true, very true).…”

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confidence: 99%

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Self-Control Constructs Related to Measures of Dietary Intake and Physical Activity in Adolescents

Wills

Isasi

Mendoza

et al. 2007

Journal of Adolescent Health

130

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Purpose-To test self-regulation concepts in relation to dietary intake and physical activity patterns in adolescence, which we predicted to be influenced by components of a self-control model.Methods-A survey was conducted with a multiethnic sample of 9th grade public school students in a metropolitan area (N = 539). Confirmatory analysis tested the measurement structure of selfcontrol. Structural equation modeling tested the association of self-control constructs with measures of fruit and vegetable intake, saturated-fat intake, physical activity, and sedentary behavior.Results-Confirmatory analysis of 14 indicators of self-control showed best fit for a two-factor structure, with latent constructs of good self-control (planfulness) and poor self-control (impulsiveness). Good self-control was related to more fruit and vegetable intake, more participation in sports, and less sedentary behavior. Poor self-control was related to more saturated-fat intake and less vigorous exercise. These effects were independent of gender, ethnicity, and parental education, which themselves had relations to diet and exercise measures. Multiple-group modeling indicated that effects of self-control were comparable across gender and ethnicity subgroups.Conclusions-Self-control concepts are relevant for patterns of dietary intake and physical activity among adolescents. Attention to self-control processes may be warranted for prevention programs to improve health behaviors in childhood and adolescence. Keywords self-control; diet; exercise; adolescents; gender; ethnicity Epidemiologic data have drawn increasing attention to diet and exercise patterns among young persons. Between 1980 and 2002, the prevalence of obesity in the US has doubled among adults and tripled among children and adolescents [1]; similar patterns have been observed in other countries [2]. Obtaining a better understanding of patterns of dietary intake and physical activity has public health significance because excess weight and inadequate exercise have been linked to increased morbidity from several diseases. The magnitude of increases in weight in the population of young persons has indicated a need for new approaches to weight-related behavior [3,4], and research conducted in adolescence provides an opportunity to study the origins of these behavioral patterns. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. The present research was based on a self-control model as a theoretical approach to understanding health behavior patterns. For substance use, theoretical papers have outlined how behavioral and emotional regul...

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Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Self-Control Constructs Related to Measures of Dietary Intake and Physical Activity in Adolescents

Wills

Isasi

Mendoza

et al. 2007

Journal of Adolescent Health

130

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“…Internal consistency for this scale based on the present sample was .75. Self-reinforcement was measured using items from the Frequency of Self-Reinforcement Attitudes Questionnaire (Heiby, 1983). According to Heiby, positive thinking reflects underlying cognitive reward mechanisms, the absence of which contributes to low self-confidence.…”

Section: Methodsmentioning

confidence: 99%

Developmental trajectories of self-management skills and adolescent substance use / Desarrollo de habilidades de autocuidado y uso de sustancias en adolescentes

Griffin

Scheier

Botvin

2009

HAAJ

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This study examined whether transitions in self-management skills were associated with change in gateway substance use (alcohol, cigarettes, and marijuana) from early to mid-adolescence, using a latent growth framework for data analysis. The sample consisted of predominantly white, suburban, and middle-class students (N=2,277) attending 22 middle schools who were followed-up annually from the 7th through 10th grades. Findings indicated that substance use increased in a steady fashion, whereas change in self-management skills (represented by a latent construct with indicators of decision-making, problem solving, self-reinforcement, and self control skills) was relatively flat with a gradual decline over time. A conditioned growth model indicated that early levels of substance use increased the decline in self-management skills over time. Early self-management skills, on the other hand, were protective and slowed growth in substance use. Relations between the two slope growth factors indicated that increases in substance use over time were associated with parallel decreases in self-management skills. Receiving higher grades in

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“…The internal consistency of the FSRQ was indicated by alpha values of .92 (Heiby, 1983a), .73 (Wagner, Holden, & Jannarone, 1988), .83 (Heiby, Campos, Remick, & Keller, 1987), and a split-half reliability value of .87, using the SpearmanBrown correction (Heiby, 1983a). The stability of the FSRQ was indicated by a test-retest correlation of .92 over an eight-week interval (Heiby, 1983a).…”

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confidence: 99%

“…15 The Frequency ofSelf-Reinforcement Questionnaire (FSRQ; Heiby, 1982) The FSRQ consists of30 items scored as 'true' or 'false', with a total score ranging from 0 to 30. For clinical and qualitative decision-making, a cutoff score of 17 has been used to discriminate between high and low degrees of self-reinforcement skills (Heiby, 1982(Heiby, , 1983a(Heiby, , 1983bVarese, Pelowski, Riedel, & Heiby, 1998). The FSRQ was designed to measure SC in terms of differences in rates of self-reinforcement.…”

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confidence: 99%

A Comparison of Four Measures of Self-Control Skills

Mezo

Heiby

2004

Assessment

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This study compares the psychometric characteristics of four questionnaires designed to assess self-control skills: the Self-Control Questionnaire, the Frequency of Self-Reinforcement Questionnaire, the Cognitive Self-Management Test, and the Lifestyle Approaches Inventory. Content validity was judged to be fairly comparable by three raters in Study 1. In Study 2, convergent and divergent validity support was obtained for all four questionnaires when administered to 369 multiethnic college students, but the relative degree of support varied across constructs. Hence, selection of a self-control instrument may be guided by the target behavior of interest.

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Assessment of frequency of self-reinforcement.

Cited by 62 publications

References 12 publications

Self-Control Constructs Related to Measures of Dietary Intake and Physical Activity in Adolescents

Self-Control Constructs Related to Measures of Dietary Intake and Physical Activity in Adolescents

Developmental trajectories of self-management skills and adolescent substance use / Desarrollo de habilidades de autocuidado y uso de sustancias en adolescentes

A Comparison of Four Measures of Self-Control Skills

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