Adults with Obesity Reduce the Proportion

Reduce the Proportion of Adults with Obesity

I. Introduction

Globally, obesity is rising to epidemic levels. If current trends persist, it has been estimated that the percentage of overweight or obese adults worldwide will rise from 33 percent in 2005 to 58 percent by 20301. Due to the rise in chronic diseases and disabilities brought about by obesity, which also causes several physicals, psychological, and social issues, the phenomenon of rising obesity has placed a heavy weight on the world. Obesity is physically linked to high blood pressure, high cholesterol, type 2 diabetes, cardiovascular disease, arthritis, and a few types of cancer. A person who is fat frequently experiences prejudice and discrimination in society, which has negative economic and social repercussions. Psychologically, obesity is linked to poorer self-esteem, negative self-evaluation, and lowered self-image.

The effects above frequently reduced the obese person's health-related quality of life (HRQOL). HRQOL is a product that impacts individuals' self-reports about their life, health, and medical care. This idea is linked to a person's sense of wellbeing and perceptions of their physical, emotional, and social functioning, expressed in their responses to and assessments of their health1. Obesity's poor effects on HRQOL, particularly in women, are its most frequent and direct side effects. A few research revealed significant correlations between obesity and quality of life, showing that as weight increases, quality of life declines.

The World Health Organization Quality of Life Questionnaire abbreviated version (WHOQOL-BREF) was used in a study among Turkish women of reproductive age who were not pregnant to examine the relationships between obesity and HRQOL. The results revealed that the prevalence of overweight and obesity increased with age, lower educational attainment, and lower socioeconomic status. 14.7 percent admitted to having a chronic disease and being overweight or obese1. After correcting for age, degree of education, and co-morbid illness, the obese (BMI > 30 kg/m2) women had a statistically poorer HRQOL score in all categories except environment. According to this study, being overweight or obese may hurt a person's HRQOL and increase morbidity and death.

Obesity and prevalent mental health disorders have intricate relationships. There is a bidirectional link between obesity and common mental disorders like sadness and anxiety, according to the National Obesity Observatory 2011, an overview of the present relationship between obesity and mental health among adults and children in the United Kingdom1. It also covers the subject of health disparities and the implications of psychological distress brought on by stigma and discrimination associated with one's weight. The majority of theories, however, stress that obesity increases medical conditions and limits mobility, both of which directly affect psychological health and can result in issues including low self-esteem, eating disorders, distorted body images, anxiety, and depression. Overweight and obese people tend to have negative psychological traits, a lower self-rating of their health, and worse health-related behaviors. Being overweight negatively impacts their social life, which isolates and leaves them vulnerable.

In a study on self-perception and satisfaction with life among obese and overweight rural housewives in Kelantan, Malaysia, it was discovered that over 55% of them believed that obesity represented pleasure and, conversely, that it represented sadness1. Despite the majority of participants being mindful of their weight and intended to lose it, they nevertheless described themselves as being in good or very good health. This suggests that rural housewives' public health strategies should be adjusted to the negative health effects of obesity and overweight.

Numerous studies show a strong link between obesity and morbidity and death, but not many look at how being overweight or obese affects HRQOL, particularly in Malaysia. The influence of obesity on HRQOL, particularly among overweight and obese homemakers, must be investigated because Malaysia has the largest percentage of obese people among Southeast Asian nations, and homemakers have higher BMIs than other employment categories1. The quality of life for communities, families, and individuals and their health will improve with a high HRQOL. As a result, it will guard against chronic illnesses and mental illnesses like sadness, anxiety, and poor self-esteem.

Programs to help people lose weight may include frequent check-ins, realistic weight loss targets, and meal and exercise logs. Setting reasonable weight reduction targets can be challenging, but visual aids highlighting the positive effects of losing weight on one's health and wellbeing can be useful in discussing these targets and inspiring patients to keep the weight off. Techniques like motivational interviewing, which concentrate on overcoming resistance to behavioral change in a positive and supportive way, may assist people in integrating these changes so that they can become a part of normal daily life and so aid in maintaining the weight reduction2. Adherence should be a top priority for weight-reduction programs since positive reinforcement in the form of noticeable early weight loss may also help. People may feel more in control of their weight reduction if their sense of "self-worth" or "self-efficacy" are encouraged. Through evaluation, guidance, inspiration, goal-setting, management, and therapy, nurse practitioners play a significant part in assisting patients with weight reduction. Nurse practitioners are in a good position to make significant improvements to the weight-management techniques used in clinical practice because of their in-depth knowledge of the research in obesity and weight management. Incorporating technology to assist affected people in sticking with weight loss programs, educating populations on healthy eating habits, and treating the morbidly obese are just a few of the policy and healthcare initiatives being made to try and lessen the prevalence rates. Obesity should be managed in the formative years of adulthood to lower the proportion of obese adults successfully.

II. PREVALENCE AND FACTORS ASSOCIATED WITH OVERWEIGHT AND OBESITY

1. PREVALENCE

As a result of the excessive buildup of body fat, overweight and obesity are linked to a higher risk of advancing non-communicable diseases like cancer, diabetes, heart disease, and other medical issues. It has been anticipated that between 2005 and 2030, the proportion of people who are overweight or obese would rise significantly higher in developing countries than in economically developed ones3. The incidence of obesity in the region is fueled by the growing westernization and urbanization of sub-Saharan Africa, which are linked to poor eating patterns and sedentary lifestyles. According to recent data, some populations in Ghana, South Africa, and Nigeria had obesity prevalence rates of 17.8, 30.6, and 33.7%3. All states in the US had obesity prevalence rates of more than 20% in 2015. In 2016, the obesity prevalence increased to more than 35% in four of those 25 states (Alabama, Louisiana, Mississippi, and West Virginia)2. In the US, obesity affects roughly 35% of adult males and 37% of adult females, respectively. Non-Hispanic white Americans and non-Hispanic Mexican Americans have the highest rates of adult obesity, respectively. People are also becoming heavier earlier in life; the birth cohorts from 1966 to 1975 and 1976 to 1985 reached an obesity prevalence of 20% by the ages of 20 to 29, but the cohort from 1956 to 1965 only did so by the ages of 30 to 39.

Additionally, from 14.6 percent in 1999-2000 to 17.4 percent in 2013-2014, the prevalence of childhood obesity among children aged 2 to 17 in the United States has grown. The early development of co-morbid conditions that have serious negative health effects and the greater possibility that obese children will go on to become obese adults make childhood obesity a growing public health concern (50 percent risk vs. 10 percent for children without obesity). Over 2.1 billion individuals, or close to one-third of the world's population, are overweight or obese4.

2. FACTORS ASSOCIATED WITH PREVALENCE

Obesity prevalence is substantially connected with gender, race and ethnicity, and socioeconomic status, which produces complex interactions between these parameters. Food accessibility continues to play a significant role in obesity, contributing to regional variations in prevalence and greater rates of obesity among those with lower socioeconomic status. A prolonged positive energy balance can be achieved by increasing the availability of high-calorie. These high-energy food options are believed to be more affordable and reduce physical activity connected to work and commuting.

The overall health of rural men is worse than that of urban men. Their obesity puts them at significant risk for cardiovascular disease and metabolic syndrome. Due to the high amounts of physical activity required by agricultural vocations, rural men historically had a lower risk of becoming obese and overweight. However, due to the mechanization of agriculture, males now labor in more sedentary, technologically-driven professions, which increases their risk of becoming overweight or obese5. Men are less likely than women to employ weight control techniques, attempt weight loss, or participate in weight loss programs. One issue is a lack of resources for weight loss. Rural men also frequently adhere to masculine norms that stigmatize help-seeking and health promotion as weak and feminine.

Due to a lack of accessibility to medical facilities, prevalence rates in rural areas of America are between 3.6 and 7% higher than in metropolitan areas. The higher prevalence rates of obesity in rural locations around the world are caused by a combination of factors, including limited access and cultural considerations. The adoption of poor eating practices and sedentary lifestyles that have created and exacerbated the prevalence of obesity in such countries have also been linked to the transfer of western and urban culture to developing nations6. Men in rural towns are less likely to exercise than rural women. Men in rural areas tend to be more manly and perceive requesting assistance and using health promotion techniques as weaknesses. Since genetic and environmental factors significantly impact the effectiveness of therapies, understanding current health status and stress levels are essential.

A well-known risk factor for cancer, type 2 diabetes, and cardiovascular disease is obesity. In the Simo et al.3 study, it was discovered that nearly three out of every five participants were overweight or obese. Higher levels of education, marital status, and gender were all linked to higher probabilities of being overweight or obese, although current smokers had lower odds than their counterparts. Participants under 50, women, participants in relationships, those with secondary and tertiary education, and participants who were married had higher probabilities of being overweight or obese.

3. RISKS ASSOCIATED WITH OBESITY

Obesity is a chronic illness that is linked to a wide range of problems that impair numerous physiologic functions. Adipose tissue undergoes a phenotypic shift as a person moves from a lean condition to obesity, and chronic low-grade inflammation emerges. Increased levels of circulating free fatty acids, soluble pro-inflammatory substances such as interleukin-1, IL-6, tumor necrosis factor, and monocyte chemoattractant protein, as well as the activation and infiltration of immune cells into inflammatory areas, are characteristics of this condition2. Obesity is frequently associated with an atherogenic dyslipidemia profile, comprising tiny, dense low-density lipoprotein (LDL) particles, decreased HDL particle levels and elevated triglyceride levels. This persistent, low-grade inflammation and dyslipidemia profile brought vascular dysfunction, including the development of atherosclerosis and decreased fibrinolysis.

Obesity's metabolic and cardiovascular effects are intertwined. Insulin resistance, one of the main pathophysiologies of T2D, is known to be significantly influenced by the chronic inflammatory state brought on by obesity. OSA and obesity are closely related. First, several obesity-related conditions, including insulin resistance, systemic inflammation, and dyslipidemia, are strongly linked to OSA2. Concurrently, the deposition of fat caused by obesity in the upper airway and thorax may affect lumen size and decrease chest compliance, contributing to OSA.

Several malignancies, including colorectal, pancreatic, renal, postmenopausal breast, endometrial, and esophageal adenocarcinoma, to mention a few, have also been linked to excessive fat levels and the metabolic activity of this extra adipose tissue2. Complex interactions between insulin resistance brought on by obesity, hyperinsulinemia, long-term hyperglycemia, inflammation, oxidative stress, and adipokine production have been found to affect cancer.

The research amply supports the link between obesity and a range of illnesses. These include glucose intolerance, insulin resistance, type 2 diabetes, hypertension, sleep apnea, dyslipidemia, arthritis, gall bladder disease, hyperuricemia, and specific cancers2. The independent relationship between obesity and menstruation abnormalities, cardiac arrhythmia, heart failure, and coronary artery disease appears well established. Moreover, it is to be noted that the rate of premature mortality among obese adults is high.

III. INTERVENTIONS

1. TECHNOLOGICAL INTERVENTIONS

MHealth (mobile health) intervention programs are used more frequently to treat obesity7. These platforms are appealing because they are adaptable (portable), affordable, and available. The existing physician- and hospital-based strategies for controlling or preventing obesity could be replaced with self-care in the community that entails self-monitoring of lifestyle changes, thanks to technologies like mhealth. In some difficult-to-reach minority communities and adults, mobile health applications like texting and other interfaces have improved health behavior modification for weight loss. It is unknown whether mobile technologies will help rural men difficult reach with weight loss efforts5.

Over time, mobile technologies have continuously improved in terms of their technological capabilities. These technologies tend to be cost-effective because they make it possible to easily disseminate information on a large scale to a large population. For example, email motivation and counseling for weight loss have been shown to reduce service costs compared to face-to-face counseling drastically. Short Message Services (SMS) has gained popularity as a means of sending health information primarily due to its low cost and simplicity7,5.

Smartphones have started to include features from other mobile technologies like pagers, cell phones, and PDAs, which explains why they are now very common among the general public and healthcare professionals. In 2015, 64% of Americans possessed smartphones, and 62% of smartphone owners had used their device to research a health concern in the prior year prior7. With numerous smartphone applications previously developed and used in the management of obesity, smartphone technology is currently being used more frequently to prevent and control obesity.

Smartphone capabilities, including the Global Positioning System (GPS), movement sensor, microphones, cameras, and online connectivity, are among the newer and more efficient curative and preventive methods. These capabilities have the potential to be applied in a variety of ways to aid in weight loss; for example, smartphone software could use motion sensors and GPS to map out routes for workouts and give users real-time feedback on their movement speed, step count, energy expenditure, and progress toward exercise goals7. Additionally, with minimal human involvement, smartphone cameras might identify items and determine a meal's caloric content from photographs or videos.

Tablets and other internet-enabled mobile health interventions provide effective delivery of individualized coaching, limitless time for feedback, environment-specific health behavior modification programs, and support. To enable the use of technology therapies remotely, obese people are being trained to use the internet and technological equipment. Delivering low-intensity therapies online, incorporating behavioral self-regulation techniques, and self-weighing to monitor for scalable and flexible interventions are all possible5. With the right training, low-intensity technology-induced behavioral weight-loss therapies are adaptable and can be used in remote locations. Fitness programs can also be distributed utilizing digital forms, such as DVDs, to assist with exercise routine and motivation.

2. BEHAVIORAL INTERVENTION FOR WEIGHT LOSS MAINTENANCE

Self-monitoring to calculate daily caloric intake or exercise intensity is associated with behavioral therapies. Intensively counsel clients on conduct. Clinically significant changes may result from behavior-based weight-loss therapies in obese people. There are few diverse and inconsistently high-quality trials of evidence-based therapies to assist adults with obesity with weight loss maintenance (WLM). An in-depth lifestyle intervention targeting both food and physical activity behaviors can successfully slow down weight regain in these people, according to a recent meta-analysis of such trials8. Most trials started with participants being forced to lose weight before providing maintenance support to those who did so, restricting the generalizability of the results to only people who responded well to a specific weight reduction method.

Consequently, a large portion of the evidence base for WLM that is now available does not consider the vast range of techniques used by people with obesity to lose weight at first. Few studies in the past have people who initially lost weight without the maintenance intervention program. In addition, these interventions required several one-on-one or group-based participant contacts over extended periods, which may have reduced their cost-effectiveness and constrained their ability to scale. Evidence from systematic reviews does not imply that online therapies are more successful at preventing weight gain than controls.

Although this combination hasn't been employed in prior WLM trials, mobile internet technology offers the ability to offer customized behavioral weight management support at the scale and connect with networked personal weighing scales for weight self-monitoring. Regular self-weighing and applying food and physical activity behavioral methods based on self-regulation theory seem to be beneficial elements of WLM therapies. According to a systematic evaluation of the available evidence, there isn't enough data to say if more intense lifestyle treatments are more successful than less intensive ones8. For people with obesity who have achieved clinically substantial weight loss, lower-intensity programs provided via mobile internet technology, integrating regular self-weighing and self-regulatory behavioral measures, may satisfy the requirement for flexible, scalable WLM therapy.

The US Preventive Services Task Force (USPSTF) advances recommendations regarding the efficacy of particular preventive care services for patients who don't exhibit overt symptoms or indicators of a linked condition9. The proof of the service's advantages and disadvantages and an evaluation of the balance serve as the foundation for its suggestions. Behavior-based weight loss maintenance trials aim to keep weight off by maintaining dietary and physical activity modifications. Interventions can take the form of group interventions, technology-assisted individual counseling sessions, or a hybrid of the two. The main emphasis of the intervention's components is on healthy eating, exercise, self-monitoring, spotting hurdles, problem-solving, peer support, and relapse prevention. Participants use devices like meal diaries and step counters to keep off lost weight.

Individual counseling sessions are offered as part of most individual-based therapies, either with or without ongoing telephone assistance. Alternative interventions include web-based self-monitoring and assistance and telephone counseling conversations, which last an average of 15 to 30 minutes9. According to the USPSTF, behavioral weight-loss therapies may increase the risk of fractures, major injuries brought on by increased physical activity, eating disorders, weight stigma, and weight volatility, among other negative effects9. Overall, there were no significant negative effects, and most trials found no difference in the incidence of adverse events between the intervention and control groups. For musculoskeletal issues, three trials revealed conflicting findings. When combined with behavioral therapies, pharmacotherapy has a larger effect on weight loss and maintenance throughout the years. It is important for weight loss for primary care clinicians to participate in brief encounters with participants in group-based programs run by lifestyle coaches or dietitians to reinforce intervention messaging.

3. WEIGHT MANAGEMENT IN YOUNG ADULTS

Young adults go through big life changes, gain more freedom, and develop long-lasting healthy behavior patterns throughout this transitional era of life. Young adulthood's weight gain appears to be lifestyle-related, as seen by sharp drops in physical activity (PA), rises in sedentary behavior, and poor eating practices4. The significant life transitions during young adulthood, such as leaving the family home, moving to new places, starting a full-time job or tertiary study, and establishing economic, residential, and career stability, are probably to blame for these changes in PA and diet-related behaviors. In this group, challenges to healthy weight maintenance outnumber enablers, and regular exercise and a balanced diet are not prioritized highly. Self-regulation abilities, knowledge, and awareness, exercising portion control, and favorable social and environmental support are all common enhancers for keeping a healthy weight.

Young individuals have reported that perceived time constraints, a lack of self-control, poor self-regulation abilities, and a lack of environmental support for physical activity and good food have all been identified as hurdles to maintaining a healthy weight. Education and awareness (such as knowing what to eat and what not to eat), self-regulation abilities (such as exercising moderation and portion control), and supportive social and environmental factors are frequently seen as enhancers of healthy weight maintenance4. Importantly, adopting healthy lifestyle habits when one is still a young adult has been linked to a lower risk of chronic disease later in life. Given that obesity is completely preventable developing and maintaining healthy behavioral habits in young adults would help both individuals' long-term health and society's financial situation.

The developmental stage of young adulthood is distinct. Therefore, weight management strategies aimed at this group must pay particular attention to the unique challenges young adults face that cause weight gain, such as rapidly changing life circumstances at home, work, family, and other relationships. Examples of the issues faced during this transitional stage include juggling the many obligations that come with being an "adult," continuing cognitive development through adulthood, and managing finances4. With the current generation of young adults among the highest consumers of digital technologies like social media, mobile phones, and wireless information-sharing platforms, technology may provide a practical way to involve young adults in weight management.

An effective substitute for conventional weight management strategies is electronic health (eHealth), described as utilizing information and communication technologies (ICTs) for health. It also has the potential to be widely distributed. The first type of eHealth is telemedicine, which was initially employed in the 1920s. The development of wireless technology and broadband internet in the 1990s sparked an explosion of eHealth and mobile health apps in the medical industry. ICT-based interventions (such as internet-enabled mobile and tablet devices and wearable monitors) enable personalized, context-specific health behavior modification programs with unlimited time for coaching, support, and feedback4. Modern ICTs are widely used, mobile, and capable, enabling temporal synchronization of delivering the intervention and delivery at a convenient time and location. Young adults might receive a short (SMS) text message in the morning, reminding them that a healthy breakfast is essential for maintaining a healthy weight, along with a link to healthy breakfast recipes using ingredients typically found at home. Adult obesity has been treated with eHealth-based interventions, which have shown the capacity to encourage healthy changes in food and PA habits.

IV. WEIGHT LOSS IMPACT AND MANAGEMENT

According to weight loss research, successful weight management has been linked to improvements in co-morbid medical issues. It has been determined that sustained weight loss, attained by a healthy diet and exercise, is the main objective for enhancing health in overweight and obese people. The likelihood of long-term weight loss success is increased by implementing long-term lifestyle modifications. Getting used to large eating portions and exercising in your routine will help you lose weight.