scholarly journals Can Simple Psychological Interventions Increase Preventive Health Investment?

2021 ◽  
Author(s):  
Anett John ◽  
Kate Orkin
Keyword(s):  
Controlled Trial ◽  
Preventive Health ◽  
Psychological Interventions ◽  
Health Technologies ◽  
Health Products ◽  
Behavioral Constraints ◽  
Rural Kenya ◽  
Water Chlorination ◽  
Future Utility ◽  
Objectively Measured

Abstract Behavioral constraints may explain part of low demand for preventive health products. We test the effects of two light-touch psychological interventions on water chlorination and related health and economic outcomes using a randomized controlled trial among 3750 women in rural Kenya. One intervention encourages participants to visualize alternative realizations of the future; one builds participants’ ability to make concrete plans. After 12 weeks, visualization increases objectively measured chlorination, reduces diarrhea episodes among children, and increases savings. Effects on chlorination and savings persist after almost three years. Effects of the planning intervention are weaker and largely insignificant. Analysis of mechanisms suggests both interventions increase self-efficacy – beliefs about one’s ability to achieve desired outcomes. Visualization also increases participants’ skill in forecasting their future utility (Gabaix and Laibson 2017). The interventions do not differentially affect beliefs and knowledge about chlorination. Results suggest simple psychological interventions can increase future-oriented behaviors, including use of preventive health technologies.

A randomized controlled trial of psychological interventions for postnatal depression

2005 ◽  
Vol 44 (4) ◽  
pp. 529-542 ◽  
Author(s):  
Jeannette Milgrom ◽  
Lisa M. Negri ◽  
Alan W. Gemmill ◽  
Margaret McNeil ◽  
Paul R. Martin
Keyword(s):  
Randomized Controlled Trial ◽  
Postnatal Depression ◽  
Controlled Trial ◽  
Psychological Interventions ◽  
Randomized Controlled

scholarly journals Effects of Morning Versus Evening Home-Based Exercise on Subjective and Objective Sleep Parameters in Older Adults: A Randomized Controlled Trial

2020 ◽  
pp. 089198872092470
Author(s):  
Jaehoon Seol ◽  
Yuya Fujii ◽  
Taiki Inoue ◽  
Naruki Kitano ◽  
Kenji Tsunoda ◽  
...  
Keyword(s):  
Older Adults ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Exercise Group ◽  
Healthy Older Adults ◽  
Low Intensity ◽  
Randomized Controlled ◽  
Home Based ◽  
Sleep Parameters ◽  
Objectively Measured

Objective: This study aimed to determine whether the timing of exercise influenced the effects of home-based low-intensity stepping exercises on the sleep parameters of older adults. Method: For 8 weeks, 60 healthy older adults participated in a randomized controlled trial, performing low-intensity aerobic exercise (70-80 bpm) for about 30 minutes every day at home, either in the morning (from waking until 12:00) or evening (18:00 to bedtime). Results: In the evening exercise group, both subjectively and objectively measured sleep latency significantly improved throughout the intervention. Further, postintervention subjective sleep satisfaction was significantly higher in the evening group (6.2 ± 1.3 points) than in the morning group (5.2 ± 1.4 points; P = .006). Additionally, sleep variables related to evening exercise had larger effect sizes (Cohen d) than those performed in the morning. Conclusion: Engaging in low-intensity stepping exercises during the evening is potentially a useful nonpharmacological approach to improving sleep quality among older adults.

scholarly journals Determinants of Use of Household-level Water Chlorination Products in Rural Kenya, 2003–2005

2010 ◽  
Vol 7 (10) ◽  
pp. 3842-3852 ◽  
Author(s):  
Amy E. DuBois ◽  
John A. Crump ◽  
Bruce H. Keswick ◽  
Laurence Slutsker ◽  
Robert E. Quick ◽  
...  
Keyword(s):  
Household Level ◽  
Rural Kenya ◽  
Water Chlorination

scholarly journals Why do general practitioners not refer patients to behaviour-change programmes after preventive health checks? A mixed-method study

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Nina Kamstrup-Larsen ◽  
Marie Broholm-Jørgensen ◽  
Susanne O. Dalton ◽  
Lars B. Larsen ◽  
Janus L. Thomsen ◽  
...  
Keyword(s):  
General Practitioners ◽  
Behaviour Change ◽  
Mixed Method ◽  
Controlled Trial ◽  
Qualitative Interviews ◽  
Behavioural Change ◽  
Preventive Health ◽  
Health Checks ◽  
Randomised Controlled ◽  
The Right

Abstract Background This study was embedded in the Check-In randomised controlled trial that investigated the effectiveness of general practice-based preventive health checks on adverse health behaviour and early detection of non-communicable diseases offered to individuals with low socioeconomic positions. Despite successful recruitment of patients, the intervention had no effect. One reason for the lack of effectiveness could be low rates of referral to behaviour-change programmes in the municipality, resulting in a low dose of the intervention delivered. The aim of this study is to examine the referral pattern of the general practitioners and potential barriers to referring eligible patients to these behaviour-change programmes. Methods A mixed-method design was used, including patients’ questionnaires, recording sheet from the health checks and semi-structured qualitative interviews with general practitioners. All data used in the study were collected during the time of the intervention. Logistic regressions were used to estimate odds ratios for being eligible and for receiving referrals. The qualitative empirical material was analysed thematically. Emerging themes were grouped, discussed and the material was re-read. The themes were reviewed alongside the analysis of the quantitative material to refine and discuss the themes. Results Of the 364 patients, who attended the health check, 165 (45%) were marked as eligible for a referral to behaviour-change programme by their general practitioner and of these, 90 (55%) received referrals. Daily smoking (OR = 3.22; 95% CI:2.01–5.17), high-risk alcohol consumption (OR = 2.66; 95% CI:1.38–5.12), obesity (OR = 2.89; 95% CI:1.61–5.16) and poor lung function (OR = 2.05; 95% CI:1.14–3.70) were all significantly associated with being eligible, but not with receiving referral. Four themes emerged as the main barriers to referring patients to behaviour-change programmes: 1) general practitioners’ responsibility and ownership for their patients, 2) balancing information and accepting a rejection, 3) assessment of the right time for behavioural change and 4) general practitioners’ attitudes towards behaviour-change programmes in the municipality. Conclusion We identified important barriers among the general practitioners which influenced whether the patients received referrals to behaviour-change programmes in the municipality and thereby influenced the dose of intervention delivered in Check-In. The findings suggest that an effort is needed to assist the collaboration between general practices and the municipalities’ primary preventive services. Trial registration Clinical Trials NCT01979107; October 25, 2013.

scholarly journals The Effect of Active Plus, a Computer-Tailored Physical Activity Intervention, on the Physical Activity of Older Adults with Chronic Illness(es)—A Cluster Randomized Controlled Trial

2020 ◽  
Vol 17 (7) ◽  
pp. 2590
Author(s):  
Esmee Volders ◽  
Catherine A. W. Bolman ◽  
Renate H. M. de Groot ◽  
Peter Verboon ◽  
Lilian Lechner
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Mixed Effects ◽  
Mixed Effects Models ◽  
Linear Mixed Effects Models ◽  
Linear Mixed Effects ◽  
Randomized Controlled ◽  
Objectively Measured

eHealth interventions aimed at improving physical activity (PA) can reach large populations with few resources and demands on the population as opposed to centre-based interventions. Active Plus is a proven effective computer-tailored PA intervention for the older adult population focusing on PA in daily life. This manuscript describes the effects of the Active Plus intervention (N = 260) on PA of older adults with chronic illnesses (OACI), compared to a waiting list control group (N = 325). It was part of a larger randomized controlled trial (RCT) on the effects of the Active Plus intervention on cognitive functioning. OACI (≥65 years) with at least one chronic illness were allocated to one of the conditions. Intervention group participants received PA advice. Baseline and follow-up measurements were assessed after 6 and 12 months. Intervention effects on objectively measured light PA (LPA) and moderate-to-vigorous PA (MVPA) min/week were analysed with multilevel linear mixed-effects models adjusted for the clustered design. Intervention effects on self-reported MVPA min/week on common types of PA were analysed with two-part generalized linear mixed-effects models adjusted for the clustered design. The dropout rate was 19.1% after 6 months and 25.1% after 12 months. Analyses showed no effects on objectively measured PA. Active Plus increased the likelihood to perform self-reported cycling and gardening at six months and participants who cycled increased their MVPA min/week of cycling. Twelve months after baseline the intervention increased the likelihood to perform self-reported walking and participants who cycled at 12 months increased their MVPA min/week of cycling. Subgroup analyses showed that more vulnerable participants (higher degree of impairment, age or body mass index) benefitted more from the intervention on especially the lower intensity PA outcomes. In conclusion, Active Plus only increased PA behaviour to a limited extent in OACI 6 and 12 months after baseline measurements. The Active Plus intervention may yet be not effective enough by itself in OACI. A blended approach, where this eHealth intervention and face-to-face contact are combined, is advised to improve the effects of Active Plus on PA in this target group.

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