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Edited by
Richard Pinder, Imperial College of Science, Technology and Medicine, London,Christopher-James Harvey, Imperial College of Science, Technology and Medicine, London,Ellen Fallows, British Society of Lifestyle Medicine
Health inequalities refer to unfair and avoidable differences in health across populations, influenced by factors such as socio-economic status and societal inequality. These disparities are evident in various health and social outcomes, including child mortality, obesity, and life expectancy. Lifestyle Medicine, which focuses on individual behaviours, acknowledges the need for multi-level action to address health inequalities effectively. Strategies to improve health equity must consider individual circumstances, providing support according to specific needs. For instance, addressing food insecurity, promoting physical activity, and ensuring good quality sleep are Public Health targets that can benefit both individuals and society. Interventions must be tailored to overcome barriers such as cost, availability of resources, and safe environments for positive health behaviours. Ultimately, tackling lifestyle-related health inequality requires a collaborative effort between Lifestyle Medicine and Public Health, aiming for upstream changes to social determinants and advocating for a more equal society
Edited by
Richard Pinder, Imperial College of Science, Technology and Medicine, London,Christopher-James Harvey, Imperial College of Science, Technology and Medicine, London,Ellen Fallows, British Society of Lifestyle Medicine
The rapid development of information and communication technologies since the 1990s has had far-reaching impacts on health behaviours and healthcare. There are many opportunities for Lifestyle Medicine. The Gartner Hype Cycle offers a useful model to understand the adoption stages of technologies such as wearable activity trackers and telemedicine in Lifestyle Medicine. Technology can enhance mental wellbeing, social connections, physical activity, healthy eating, sleep quality, and harm reduction.
However, technology use also poses risks, such as encouraging sedentary behaviours, social isolation, and digital exclusion. Data analysis in technology can be challenging, and ensuring cybersecurity and commercial surveillance protection is essential. Technology can help deliver personalised interventions that match patient needs. Technology can also provide holistic health support to patients beyond traditional consultations.
Edited by
Richard Pinder, Imperial College of Science, Technology and Medicine, London,Christopher-James Harvey, Imperial College of Science, Technology and Medicine, London,Ellen Fallows, British Society of Lifestyle Medicine
Physical inactivity is recognised as a global risk factor for premature mortality and morbidity. Engaging in physical activity and reducing sedentary behaviour significantly improves both mental and physical health at all ages. Lifestyle Medicine emphasises the importance of a person-centred approach to encourage physical activity during consultations. Physical activity guidelines in the UK recommend adults to engage in at least 150 minutes of moderate intensity or 75 minutes of vigorous intensity activity weekly for health benefits. Sedentary behaviour is defined as low-energy expenditure activities while awake and is an independent risk factor for ill health. Clinical and community-based interventions, including brief advice and referral to physical activity programmes, are cost-effective and improve physical activity levels. Various tools exist to assess physical activity levels and fitness in clinical settings, aiding personalised healthcare. Personalised support and health coaching techniques, such as motivational interviewing, effectively promote physical activity. Physical activity reduces the risk of long-term conditions, improves weight management, and has positive effects on metabolism and immune pathways. Supporting increased physical activity as part of Lifestyle Medicine can prevent, treat, and potentially reverse chronic health conditions.
Edited by
Richard Pinder, Imperial College of Science, Technology and Medicine, London,Christopher-James Harvey, Imperial College of Science, Technology and Medicine, London,Ellen Fallows, British Society of Lifestyle Medicine
Social prescribing is a personalised care approach that connects individuals to community resources for health and wellbeing. There is a rich history of social prescribing initiatives in the UK, including the Peckham experiment and the Bromley-By-Bow Centre. There are six types of social prescribing resources: physical activity, arts and crafts, nature, social support, statutory services, and education. The NHS model for social prescribing includes link workers, referral systems, workforce development, and outcome frameworks. Challenges in measuring the effectiveness of social prescribing are many: differentiating between outputs and outcomes. Economically evaluating social prescribing is complex, and robust evaluations are needed. Principles for future success emphasise quality research and multidisciplinary collaboration. A comprehensive understanding of social prescribing is crucial to unlock its full potential.
This study aims to identify fathers’ profiles integrating food parenting practices (FPP) and physical activity parenting practices (PAPP).
Design:
We analysed cross-sectional data. The fathers completed the reduced FPP and PAPP item banks and socio-demographic and family dynamics (co-parenting and household responsibility) questionnaires. We identified fathers’ profiles via latent profile analysis. We explored the influence of social determinants, child characteristics and family dynamics on fathers’ profiles using multinomial logistic regression.
Setting:
Online survey in the USA.
Participants:
Fathers of 5–11-year-old children.
Results:
We analysed data from 606 fathers (age = 38 ± 8·0; Hispanic = 37·5 %). Most fathers self-identified as White (57·9 %) or Black/African American (17·7 %), overweight (41·1 %) or obese (34·8 %); attended college (70 %); earned > $47 000 (62·7 %); worked 40 hrs/week (63·4 %) and were biological fathers (90·1 %). Most children (boys = 55·5 %) were 5–8 years old (65·2 %). We identified five fathers’ profiles combining FPP and PAPP: (1) Engaged Supporter Father (n 94 (15·5 %)); (2) Leveled Father (n 160 (26·4 %)); (3) Autonomy-Focused Father (n 117 (19·3 %)); (4) Uninvolved Father (n 113 (18·6 %)) and (5) Control-Focused Father (n 122 (20·1 %)). We observed significant associations with race, ethnicity, child characteristics, co-parenting and household responsibility but not with education level, annual income or employment status. We observed significant pairwise differences between profiles in co-parenting and household responsibility, with the Engaged Supporter Father presenting higher scores in both measures.
Conclusions:
Understanding how fathers’ FPP and PAPP interact can enhance assessments for a comprehensive understanding of fathers’ influences on children’s health. Recognising the characteristics and differences among fathers’ profiles may enable tailored interventions, potentially improving children’s health trajectories.
Children with congenital heart defects (CHD) are often short/lightweight relative to peers. Limited growth, particularly height, may reflect energy deficits impacting physical activity. Latent class analyses of growth from birth and Bruce treadmill exercise data retrospectively identified for height, weight, and body mass index z-scores growth trajectories. Linear regression models examined exercise parameters by growth trajectory, adjusting for age/sex/CHD severity. A total of 213 children with CHD (39% female, 12.1 ± 2.9 years) achieved 85.8 ± 10.1% of the predicted peak heart rate. Peak heart rate among children whose height was consistently below average (class 1) was 15.2 ± 4.9 beats/min lower than children with other height trajectories. These children also attained a lower percentage of predicted peak heart rate. Children whose weight (p = 0.03) or body mass index (p < 0.001) z-score increased throughout childhood had significantly lower exercise duration (mean difference 1–2 min) than children whose growth trajectories were stable or declined. Children with above-average weight or an increasing body mass index also used a higher percentage of their heart rate reserve at each submaximal exercise stage. A very low height z-score trajectory is associated with decreased exercise capacity that may increase the risk for morbidities associated with a sedentary lifestyle. Future studies should examine potential mechanisms for the observed height deficits, such as an inadequate energy supply that could impact physical activity participation, congestive heart failure, cyanosis, pubertal stage, supplemental feeding history, or familial growth patterns. Prospective studies examining growth in relation to objective measures of daily physical activity are required.
India’s nutrition transition has led to an increased burden of overweight/obesity (body mass index of ≥23 kg/m2), driven by lifestyle factors like poor diet, inactivity, and substance use, prompting public health interventions. However, these interventions lack supporting evidence, especially in rural areas, hindering effective strategies for this population. To address this evidence gap, this study used cohort data (baseline: 2018–19, follow-up: 2022–23) from the Birbhum Population Project (West Bengal, India) to analyse lifestyle risk factors and their association with incidence and remission of overweight/obesity among adults aged ≥18 years (sample: 8,974). Modified Poisson regression model was employed to attain the study objective. From 2017–2018 to 2022–2023, the prevalence of overweight/obesity increased from 15.2% (95% CI: 14.1%–16.4%) to 21.0% (95% CI: 19.7%–22.3%) among men and from 24.1% (95% CI: 22.9%–25.2%) to 33.8% (95% CI: 32.5%–35.1%) among women. Overall, 23.0% (95% CI: 21.8%–24.3%) of adults experienced incidence of overweight/obesity, while 13.9% (95% CI: 12.4%–15.6%) experienced remission. Use of motor vehicles among unemployed participants was associated with incident overweight/obesity (relative risk or RR: 1.058; 95% CI: 1.023–1.095; P: 0.001). Vigorous activity at home (including gardening, yard work, and household chores) was linked to higher odds of recovering from overweight/obesity (RR: 1.065; 95% CI: 1.008–1.125; P: 0.025). Frequent tobacco use (often/daily vs. none) was inversely associated with remission of overweight-obesity (RR: 0.689; 95% CI: 0.484–0.980; P: 0.038), as was each 1 ml in alcohol consumption (RR: 0.995; 95% CI: 0.991–0.999; P: 0.022). Discouraging habitual motor vehicle use may help prevent overweight/obesity, while promoting home-based activities may aid remission, particularly for women who are at higher risk for overweight/obesity.
Previous studies (various designs) present contradicting insights on the potential causal effects of diet/physical activity on depression/anxiety (and vice versa). To clarify this, we employed a triangulation framework including three methods with unique strengths/limitations/potential biases to examine possible bidirectional causal effects of diet/physical activity on depression/anxiety.
Methods
Study 1: 3-wave longitudinal study (n = 9,276 Dutch University students). Using random intercept cross-lagged panel models to study temporal associations. Study 2: cross-sectional study (n = 341 monozygotic and n = 415 dizygotic Australian adult twin pairs). Using a co-twin control design to separate genetic/environmental confounding. Study 3: Mendelian randomization utilizing data (European ancestry) from genome-wide association studies (n varied between 17,310 and 447,401). Using genetic variants as instrumental variables to study causal inference.
Results
Study 1 did not provide support for bidirectional causal effects between diet/physical activity and symptoms of depression/anxiety. Study 2 did provide support for causal effects between fruit/vegetable intake and symptoms of depression/anxiety, mixed support for causal effects between physical activity and symptoms of depression/anxiety, and no support for causal effects between sweet/savoury snack intake and symptoms of depression/anxiety. Study 3 provides support for a causal effect from increased fruit intake to the increased likelihood of anxiety. No support was found for other pathways. Adjusting the analyses including diet for physical activity (and vice versa) did not change the conclusions in any study.
Conclusions
Triangulating the evidence across the studies did not provide compelling support for causal effects of diet/physical activity on depression/anxiety or vice versa.
Rewards are rewarding owing to their hedonic or metabolic value. Individual differences in sensitivity to rewards are predictive of mental health problems but may reflect variation in metabolic types. We have assessed the association of two distinguishable aspects of reward sensitivity, openness to rewards (the striving towards multiple rewards) and insatiability by reward (the strong pursuit and fixation to a particular reward), with measures of metabolism and activity in a longitudinal study of representative birth cohort samples. We used data of the Estonian Children Personality Behaviour and Health Study (original n = 1238) collected at age 15, 18 and 25. Reward sensitivity and physical activity were self-reported during a laboratory visit, when also blood sampling, measurement of blood pressure, height and weight, aerobic exercise testing and the diet interview, after the participants had kept food diary, took place. In the younger cohort, physical activity was also assessed by accelerometry at age 18 and 25. Across adolescence and young adulthood, openness to rewards was positively associated with physical activity and negatively with blood pressure and serum levels of glucose, insulin and cholesterol levels. In contrast, insatiability by reward was positively associated with serum triglyceride levels and negatively with energy intake and cardiorespiratory fitness. In conclusion, the two facets of reward sensitivity have a fairly different association with a variety of metabolic and health-related measures. This may explain the variable findings in literature, and suggests that individual differences in reward sensitivity are part of a complex physiological variability, including energy expenditure profiles.
This review aims to highlight the relative importance of cardiovascular disease (CVD) lifestyle-associated risk factors among individuals with inflammatory bowel disease (IBD) and examine the effectiveness of lifestyle interventions to improve these CVD risk factors. Adults with IBD are at higher risk of CVD due to systemic and gut inflammation. Besides that, tobacco smoking, dyslipidaemia, hypertension, obesity, physical inactivity and poor diet can also increase CVD risk. Typical IBD behavioural modification including food avoidance and reduced physical activity, as well as frequent corticosteroid use, can further increase CVD risk. We reviewed seven studies and found that there is insufficient evidence to conclude the effects of diet and/or physical activity interventions on CVD risk outcomes among populations with IBD. However, the limited findings suggest that people with IBD can adhere to a healthy diet or Mediterranean diet (for which there is most evidence) and safely participate in moderately intense aerobic and resistance training to potentially improve anthropometric risk factors. This review highlights the need for more robust controlled trials with larger sample sizes to assess and confirm the effects of lifestyle interventions to mitigate modifiable CVD risk factors among the IBD population.
Colorectal cancer (CRC), the third most common cancer globally, causes over 900 000 deaths annually. Although vitamin D is observed to have potential anti-carcinogenic properties, research findings on its preventable effect against CRC remain inconclusive. Notably, different subsites within the colon and rectum may be associated with distinct risk factors. While some studies have explored this relationship with circulating 25-hydroxyvitamin D (25(OH)D), the results remain contradictory. Our study employed a nested case–control design, involving 775 CRC cases matched with 775 cancer-free controls based on age, region of living and the time of blood sampling. The study was conducted within the Norwegian Women and Cancer post-genome cohort, which comprises approximately 50 000 women. We measured pre-diagnostic circulating plasma 25(OH)D status 5–13 years before diagnosis. Adjustment variables were based on self-administered questionnaires and included BMI, physical activity level, smoking, intake of processed meat, calcium, alcohol and fibre. An increase of 5 nmol/l in 25(OH)D reduced the risk of proximal colon cancer by 6 % (OR = 0·94, 95 % CI 0·89, 0·99). Furthermore, a sensitivity analysis revealed a 62 % increased risk among the women with 25(OH)D levels below 50 nmol/l compared with sufficient levels, ≥ 50 to < 75 nmol/l (OR = 1·62, 95 % CI 1·01, 2·61). No association was found with CRC, colon or distal colon cancer. We observed a subsite-specific association between 25(OH)D and CRC, highlighting the need for further investigation to elucidate the potential underlying mechanisms and clinical implications.
Cognitive impairment is a core feature of psychosis, which adversely affects global functioning and quality of life and has been consistently reported from the early stages of illness. Patients with first-episode psychosis (FEP) exhibit deficits in processing speed, short-term memory, attention, working memory, and executive functioning, which respond poorly to psychotropic drugs. Among non-pharmacological approaches, physical activity has shown promise in improving cognitive functioning in schizophrenia spectrum disorders. However, current evidence lacks specific data on individuals with FEP. In this review, we aim to explore the potential role of physical activity-based interventions in ameliorating the cognitive functions of people with FEP.
Methods
The literature search was conducted on PubMed, PsycINFO, and Web of Science in March 2024, identifying 127 de-duplicated records. One additional article was identified by screening the reference lists of the included studies. A total of six studies fulfilled the inclusion criteria and were reviewed. They all analyzed the effect of structured physical activity interventions on the cognitive functioning of patients with FEP.
Results
Preliminary findings suggest that physical activity interventions enhance memory, attention, and executive functions of patients with FEP but not social cognition and motor function.
Conclusions
Study differences in sample characteristics, design, and intervention protocols prevent firm conclusions about the cognitive-boosting effects of the interventions in FEP. Further studies using more rigorous methodologies are needed to understand the durability of these effects and the underlying mechanisms.
The COVID-19 pandemic challenged older adults’ health behaviours, making it even more difficult to engage in healthy diets and physical activity than it had been prepandemic. A resource to promote these could be social support. This study uses data from 136 older adults (Mage = 71.39 years, SD = 5.15, range: 63–87) who reported their daily fruit and vegetable consumption, steps, and health-behaviour-specific support from a close other every evening for up to 10 consecutive days. Findings show that on days when participants reported more emotional support than usual, fruit and vegetable consumption and step counts were higher. Daily instrumental support was positively associated with step counts, only. Participants receiving more overall emotional support across the study period consumed more fruit and vegetables; no parallel person-level association was found for overall steps. There were no significant interactions between dyad type and support links for our outcomes.
While physical activity reduces the risk for chronic disease development, evidence suggests those experiencing early life growth-restriction do not express positive adaptations in response to physical activity. The purpose of this study was to examine the effects of low birthweight (LBW) on markers of chronic disease, adult physical activity, and the response to physical activity engagement in a longitudinal human cohort study. Data from the Framingham Offspring Cohort were organized to include participants with birthweight, physical activity, and chronic disease biomarker/treatment data available at two timepoints (exam 5 and exam 9, 19-year difference). A two-way ANCOVA was performed to determine the association of LBW and sex on physical activity engagement (63.0% female, 10.4% LBW). A multinomial logistic regression was performed to examine the associations of low birthweight and sex on chronic disease development while adjusting for physical activity. LBW was associated with elevated blood glucose and triglycerides (Exam 9). Though not statistically significant (p = 0.08), LBW females potentially spent more time in sedentary activity at exam 5 than LBW males and normal birthweight (NBW) females. LBW males spent significantly more time (p = 0.03) sedentary at exam 9 compared to NBW males and LBW females. There were no differences in the likelihood of chronic disease treatment between groups. Chronic disease biomarkers remained elevated when adjusted for total physical activity. In conclusion, LBW participants in the Framingham Offspring Cohort were not more likely to be treated for chronic diseases when controlling for physical activity engagement, though biomarkers of chronic disease remained elevated.
Moderate-to-vigorous physical activity (MVPA) is beneficial for health, and reducing sedentary behavior (SB) is recommended in international guidelines. People with mental illnesses are at higher risk of preventable diseases than the general population, partly attributable to lower MVPA and higher SB. Self-determination theory provides a framework for understanding how motivation regulates behavior. This study aimed to evaluate the contribution of different forms of motivation for physical activity (amotivation, controlled, autonomous) to MVPA and SB in people with mental illnesses.
Methods
Cross-sectional self-reported and accelerometer-derived MVPA and SB in people with a range of mental illnesses across four countries were pooled for analysis (Australia, Belgium, England, Uganda). Motivation for physical activity was measured using the Behavioural Regulation in Exercise Questionnaire (BREQ). Regression analyses were used to investigate the association of MVPA and SB with amotivation, controlled, autonomous motivations, controlling for mental health and demographic variables.
Results
Autonomous motivation was associated with 31% higher self-reported MVPA, and amotivation and controlled motivation were associated with 18% and 11% lower self-reported MVPA, respectively (n = 654). In contrast, controlled motivation was positively associated with SB (n = 189). Having physical comorbidities or an alcohol use disorder was associated with lower MVPA (n = 318). Sub-analyses with accelerometer-derived MVPA and SB (n = 139 and n = 145) did not reveal any associations with motivational forms.
Conclusions
Findings with an international sample support the universal relevance of motivation in promoting health-related behavior. Strategies for facilitating autonomous motivation should be utilized by health professionals seeking to support people with mental illnesses to become physically active.
Chrono-medicine considers circadian biology in disease management, including combined lifestyle and medicine interventions. Exercise and nutritional interventions are well-known for their efficacy in managing type 2 diabetes, and metformin remains a widely used pharmacological agent. However, metformin may reduce exercise capacity and interfere with skeletal muscle adaptations, creating barriers to exercise adherence. Research into optimising the timing of exercise has shown promise, particularly for glycaemic management in people with type 2 diabetes. Aligning exercise timing with circadian rhythms and nutritional intake may maximise benefits. Nutritional timing also plays a crucial role in glycaemic control. Recent research suggests that not only what we eat but when we eat significantly impacts glycaemic control, with strategies like time-restricted feeding (TRF) showing promise in reducing caloric intake, improving glycaemic regulation and enhancing overall metabolic health. These findings suggest that meal timing could be an important adjunct to traditional dietary and exercise approaches in managing diabetes and related metabolic disorders. When taking a holistic view of Diabetes management and the diurnal environment, one must also consider the circadian biology of medicines. Metformin has a circadian profile in plasma, and our recent study suggests that morning exercise combined with pre-breakfast metformin intake reduces glycaemia more effectively than post-breakfast intake. In this review, we aim to explore the integration of circadian biology into type 2 diabetes management by examining the timing of exercise, nutrition and medication. In conclusion, chrono-medicine offers a promising, cost-effective strategy for managing type 2 diabetes. Integrating precision timing of exercise, nutrition and medication into treatment plans requires considering the entire diurnal environment, including lifestyle and occupational factors, to develop comprehensive, evidence-based healthcare strategies.
Temporal energy intake (EI) and physical activity (PA) patterns may be associated with obesity. We aimed to derive and characterise temporal EI and PA patterns, and assess their cross-sectional association with weight status, in 6-to-14-year-old Portuguese participants of the National Food, Nutrition and Physical Activity Survey 2015–2016. We extracted times and EI of all eating occasions from two 1-d food diaries/24-h recalls, while types and times of PA from 4-d PA diaries. We derived EI patterns (n 714) and PA patterns (n 595), using, respectively, a hierarchical and K-means cluster analysis, considering the average proportion of total daily EI (%TEI) and PA intensity (%TPA), within each 2-h interval across the 24-h day. Patterns were labelled based on the 2-h intervals of %TEI/TPA peaks. We assessed the association between patterns and overweight or obesity (BMI z-score ≥ +1 sd) using adjusted logistic regressions (OR (95 % CI)). Three EI patterns emerged: 1 – ‘Early afternoon and early evening’; 2 – ‘Early afternoon and late evening’; and 3 – ‘Late morning, early and mid-afternoon and late evening’. EI Pattern 3 v. Pattern 1 was negatively associated with overweight or obesity (0·49 (0·26, 0·92)). PA Pattern 1 – ‘Late morning, mid-afternoon and early evening’ v. Pattern 2 – ‘Late afternoon’, was not associated with weight status (0·95 (0·65, 1·38)). A daily EI pattern with more and even %TEI peaks at earlier daytime periods, rather than fewer and higher, may be negatively associated with overweight or obesity amongst this population whereas the identified PA patterns might have no relationship.
The long-term impact of eating duration on the risk of all-cause mortality remains unclear, with limited exploration of how different levels of energy intake and physical activity might influence this impact. To investigate, 24 484 American adults from the National Health and Nutrition Examination Survey spanning 1999–2018 were included. Eating duration was assessed via 24-h dietary recall, and all-cause mortality data were sourced from the National Death Index. The relationship between eating duration and all-cause mortality was analysed using Cox proportional hazards regression models, restricted cubic splines and stratification analysis with complex weighted designs. The median (IQR) of eating duration for participants was 12·5 (11·0, 14·0) h. In this study, 2896 death events were observed, and the median follow-up time (IQR) was 125 (77, 177) months. After multivariable adjustment, compared with Q1, Q2, Q3 and Q4 had reduced risks of all-cause mortality by 17, 15 and 13 %, respectively. Furthermore, each additional hour of eating duration was correlated with a 2 % decrease in the risk of all-cause mortality. Additionally, a non-linear dose–response relationship was observed between eating duration and the risk of all-cause mortality, showing a U-shaped relationship from 8·9 h to 15·3 h (P for non-linearity < 0·05). Interestingly, the non-linear dose–response relationship was observed exclusively among individuals with high energy intake or a lightly active physical activity level. These findings suggest potential health benefits from adjusting eating duration, though further prospective studies are needed for validation.
Part IV emphasises the significance of psychological and nutritional characteristics of orthorexia nervosa to gain better insight into the construct of orthorexia nervosa. It focuses on the relationship of orthorexia nervosa with self-esteem, personality traits, eating behaviours (disordered eating behaviours, food addiction, mindful eating), health-related beliefs and behaviours (physical activity), body image, emotion regulation and dietary patterns. It also presents a potential social risk factor of orthorexia nervosa - social media use. A summation of the highlights is included at the end of this chapter. The commentary of the invited international expert (Professor Marle Alvarenga, University of Sao Paulo) provides valuable insights on orthorexia nervosa.
To evaluate four dimensions of fatigue, including subjective fatigue severity, concentration problems, reduced motivation, and activity in patients with single-sided deafness.
Methods
Following audiological assessment, the Checklist Individual Strength scale and Montreal Cognitive Assessment were performed on 41 adults with single-sided deafness and 41 sex-matched adults with normal bilateral hearing in the study group and control group, respectively. Subjective fatigue severity, concentration, motivation, activity level and cognitive performance were analysed between and within groups.
Results
Individuals with single-sided deafness exhibited reduced concentration and motivation; however, their activity level was average. Subjective fatigue symptoms were more prevalent in individuals with single-sided deafness than in control participants. The concentration problem was related to decreased cognitive performance.
Conclusion
This study revealed negative somatic consequences of single-sided deafness. Self-perceived fatigue is likely underestimated in this population due to the limited studies reported in the literature. Further studies should focus on counselling, follow up and hearing rehabilitation concerning ameliorating fatigue.